misterhay/SWEETVIZ_REPORT.html

## sweetviz_demo.py
try:
    import sweetviz
except:
    !pip install sweetviz --user
    import sweetviz
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/callysto/hackathon/f7454f5d9234df2575ceb7b8983340e512fad24d/SustainabilityOnMars/Tutorials/pets_from_bootstrap_world.csv')
analysis = sweetviz.analyze(df)
analysis.show_notebook() # or export with show_html()

## SWEETVIZ_REPORT.html

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// let g_lastHovered = "";

function hideAllDetails()
{
    $(".container-feature-detail").hide();
    $(".container-df-associations").hide();
    $("span.bg-tab-summary-rollover").hide();
    $("#button-summary-associations-source, #button-summary-associations-compare").removeClass("button-assoc-selected");
    $("#button-summary-associations-source, #button-summary-associations-compare").addClass("button-assoc");
}


// GLOBAL EVENTS
// ---------------------------------------------------------------------------------------------------------------------------
// EVENT: [ANYWHERE] RIGHT-CLICK REMOVES SELECTION
// $(document).contextmenu(function() {
//     if (g_snapped != "")
//     {
//         g_snapped = "";
//         hideAllDetails();
//     }
//     if (g_lastHovered != "")
//     {
//         $(g_lastHovered).show();
//         //alert("#"+g_lastHovered);
//     }
//     return false;
// });

$("span.bg-tab-summary-rollover").hide();
hideAllDetails();

$(document).ready(function() {
// INITIALIZATION
// --------------------------------------------------------
hideAllDetails();
$("span.bg-tab-summary-rollover").hide();

// Make the detail column the same height, so the floating element has room
//$("#col2").height($("#col1").height());
$("#col1").height(g_height);
$("#col2").height(g_height);
//alert($("#col1").height());

// SUMMARY AREA
// --------------------------------------------------------
// EVENT: SUMMARY ROLLOVER
// $(".selector, .container-feature-summary-target").hover(
$(".selector").hover(
// ENTER function
function(event) {
    if(g_snapped=="")
    {
        // Rollover start!
        $(".container-feature-detail").hide();
        $("span.bg-tab-summary-rollover").hide();
        $("#" + $(this).data("detail-div")).show();
        $("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
        $("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover");
        $("#" + $(this).data("rollover-span")).show();
    }
    // g_lastHovered = "#" + $(this).data("detail-div");
    },
// EXIT function
function(event) {
    if(g_snapped=="")
    {
        // Rollover end!
        hideAllDetails();
//FBFB        $("#" + $(this).data("detail-div")).hide();
    }
    }
);
// EVENT: SUMMARY CLICK
// $(".container-feature-summary, .container-feature-summary-target").click(function(event) {
$(".selector").click(function(event) {
    // No matter what, we should deselect the associations buttons
    $("#button-summary-associations-source, #button-summary-associations-compare").removeClass("button-assoc-selected");
    $("#button-summary-associations-source, #button-summary-associations-compare").addClass("button-assoc");

    // alert($(this).parent().attr('id'));
    let this_to_snap=$(this).parent().attr('id');

    if(g_snapped == this_to_snap)
    {
        // "Unselect"
        $("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
        $("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover");
        g_snapped = "";
    }
    else if (g_snapped == "")
    {
        // "Select"
        $("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover");
        $("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover-locked");
        g_snapped = $(this).parent().attr('id');
        //$("#" + $(this).data("detail-div")).show();
        //$(g_lastHovered).show();
        // alert(this.parent().id);
    }
    else if (g_snapped !== this_to_snap) // implied
    {
        // "Select" while another was previously selected
        $("#" + $("#"+g_snapped).children().data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
        $("#" + $("#"+g_snapped).children().data("rollover-span")).addClass("bg-tab-summary-rollover");

        $(".container-feature-detail").hide();
        $("span.bg-tab-summary-rollover").hide();
        $("#" + $(this).data("detail-div")).show();

        $("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover");
        $("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover-locked");
        $("#" + $(this).data("rollover-span")).css("display","inline");
        g_snapped = $(this).parent().attr('id');
    }
/*
    if (g_snapped != "")
    {
        $('html,body').animate(
            {scrollTop: $("#" + g_snapped).offset().top},
            'fast');

    }

 */
}
);
/*
$(window).scroll(function(e){
  var $el = $('.container-feature-detail');
    $el.css({'position': 'fixed', 'top': '0px'});

});
function fix_scroll() {
  var s = parseFloat($(window).scrollTop()) / 0.6;
  var fixedTitle = $('.container-feature-detail');
  fixedTitle.css('position','absolute');
  fixedTitle.css('top',s + 'px');
}fix_scroll();

$(window).on('scroll',fix_scroll);
*/

// ---------------------------------------------------------------------------------------------------------------------------
// SPECIFIC BUTTONS
// ---------------------------------------------------------------------------------------------------------------------------
// SUMMARY: ASSOCIATIONS -> HOVER
// --------------------------------------------------------
$("#button-summary-associations-source, #button-summary-associations-compare").hover(
    // ENTER function
    function()
    {
        if(g_snapped=="")
        {
            hideAllDetails();
            $("#" + $(this).data("detail-div")).show();
            // $("#df-assoc").show();
            //$("#df-assoc").show();
        }
        // g_lastHovered = "#df-assoc";
    },
    // EXIT function
    function()
    {
        if(g_snapped=="")
        {
            hideAllDetails();
        }
    });

// SUMMARY: ASSOCIATIONS -> CLICK
// --------------------------------------------------------
$("#button-summary-associations-source, #button-summary-associations-compare").click(function(event) {
    // Quick hack: just remove the selected state to both buttons and restore if needed
    $("#button-summary-associations-source, #button-summary-associations-compare").removeClass("button-assoc-selected");
    $("#button-summary-associations-source, #button-summary-associations-compare").addClass("button-assoc");
    let this_to_snap=this.id;
    if(g_snapped == this_to_snap)
    {
        // DESELECT/HIDE ASSOC
        // --------------------------------------------------------
        g_snapped = "";
    }
    else if(g_snapped=="")
    {
        // SELECT/SHOW ASSOC (Hide other one if already shown)
        // --------------------------------------------------------
        //$(".container-feature-detail").hide();
        //alert("#" + this.id+" GS:"+g_snapped);
        //$("#df-assoc").show();
        g_snapped = this.id;
        $(this).addClass("button-assoc-selected");
    }
    else
    {
        // SWAP to OTHER ASSOC: DESELECT old, select new
        // --------------------------------------------------------
        $("#" + $("#"+g_snapped).children().data("rollover-span")).removeClass("bg-tab-summary-rollover-locked");
        $("#" + $("#"+g_snapped).children().data("rollover-span")).addClass("bg-tab-summary-rollover");
        hideAllDetails();
        $(this).addClass("button-assoc-selected");
        g_snapped = this.id;
        $("#" + $(this).data("detail-div")).show();
    }
//    $(this).addClass("assoc_active");
});


// DETAIL GRAPH BUTTONS
$(".button-bin").click(function() {
    which_id = $(this).attr('data-target');
    $("#"+which_id).attr('class', $(this).attr('data-new_class') + " pos-detail-num-graph");
});


}); // $(document).ready(...  </script>
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span.icon-collapse { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAJxJREFUeNpi/P//PwM9ARMDncGohVQHLATkDYA4gEQzD0AxdgBKpTjw/P/kg/m4zMVlWQKSRgE8jkLHAkgOTcCmBlccKkDpRCD+QEJwfkDSo0DPRCMwmg8HTT6E5x4i1TFSy8ID9Pah42iiGZIWfqCnhQ+gxdN8fMUUjiJtPpIZA189MRJotTlAMSlgAxBfwFkyjDYTRy0kFQAEGAD+JDS/pyABgwAAAABJRU5ErkJggg==);}

span.bg-tab-summary { position: absolute; z-index:-1000; content: 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);}
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);}

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format('truetype');
}
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format('truetype');
}
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) format('truetype');
}

body
{
/* Re-adding horizontal scrollbar
    overflow-x: hidden;
    background-color: #f7f7f7;
*/
    background-color: #f3f3f0;
    color: #58544f;
    margin-top: 0px;
}

.isHidden { display: none; }

.page-root
{
	/*width: 1880px;*/
    /* Made this bigger to better match actual width and avoid flickering due to the horizontal Scrollbar showing up */
	width: 1903px;
	overflow: visible;
	 margin: 0 auto;
    position: relative;
}
.page-root-vertical
{
	width: 1056px;
	overflow: visible;
	  margin: 0 auto;
    position: relative;
}
.page-column-main { width: 930px; position: absolute;}
.page-column-detail { position: absolute; left: 1005.0px; }
.page-all-summaries { position: absolute; top:160px; left: -12px; width: 960px; }

.pos-feature-summary
{
	width: 1056px;
	height:162px;
    position: relative;
}

.container-feature-summary
{
	width: 1056px;
	height:175px;
    position: absolute;
}
.container-feature-summary-target
{
	width: 1056px;
	height:175px;
    position: relative;
}
.container-feature-detail
{
    height:900px;position:sticky;top:0;
    transform: scale(1.0);transform-origin: 0 0;
}
.container-feature-detail-vertical
{
    width: 900px;height:900px;position:absolute; top: 151px; left:93px
}
.container-feature-detail__offset
{
    height:900px;position:absolute;top:0px;left:-17px
}

.color-source { color: #0088ed; }
.button-border-source { border:1px solid #0088ed; }
.color-source-target { color: #004bd1; }
.color-compare { color: #f77721; }
.button-border-compare { border:1px solid #f77721; }
.color-compare-target { color: #e54600; }
.color-normal { color: #58544f; }
.color-target-summary { color: #CFC8BC; }
.color-light { color: #837d76; }
.color-red { color: #ff0000; }
.dim { opacity: 0.5; }
.color-title-disabled  { color: #e2e2e2; }

a { color: #58544f; }
.text-dataframe-title { font-family: RobotoBoldCond; font-size: 24px; }
.text-dataframe-title-small { font-family: RobotoBoldCond; font-size: 20px; }
.text-large-bold { font-family: RobotoBoldCond; font-size: 15.4px; }
.text-med-bold { font-family: RobotoBoldCond; font-size: 12px; }
.text-med { font-family: RobotoMed; font-size: 12px; }
.text-small-med { font-family: RobotoMed; font-size: 10px; }
.text-small-bold { font-family: RobotoBoldCond; font-size: 10px; }
.text-label { font-family: RobotoReg; font-size: 11px;}
.text-value { font-family: RobotoMed; font-size: 11px; }
.text-distinct { font-family: RobotoMed; font-size: 12px; font-weight: bold;}
.text-version { font-family: RobotoReg; font-size: 14px; font-weight: bold; }
.text-credits { font-family: RobotoReg; font-size: 9px;}

.pos-logo-group         { position: absolute; top:0px; left:0px; width: 380px; height: 200px; text-align: center;}
.pos-logo               { position: relative;
      margin-left: auto;
  margin-right: auto;
    top: 32px; }
.pos-credits            { position: relative; top:26px; text-align: center; }

.row-colored            { background-color: #00000008; }
.row-missing            { background-color: #00000008; text-indent: 4px; height: 16px; width: 250px; }
.assoc-row              { height: 13px; line-height: 11px; text-indent: 4px; }
.assoc-row-target       { height: 13px; line-height: 11px; text-indent: 4px; background-color: #221F1F; color: #c1b9af; }
.row-numeric-summary    { height: 13px; line-height: 11px; width: 140px; }
.row-separator-bottom   { border-bottom: 1px solid #00000018; }
.row-separator-top      { border-top: 1px solid #00000018; }
.breakdown-row          { height: 13px; line-height: 11px; text-indent: 4px; }
.breakdown-row-header   { height: 26px; text-indent: 4px; }
.breakdown-row-header-2-lines   { height: 30px; text-indent: 4px; }
.breakdown-hr           { position:absolute; top: 13px; left: 10px; width: 592px; }
.breakdown-hr-2-lines   { position:absolute; top: 20px; left: 10px; width: 592px; }

/* TAB ICON/NAME */
.text-title-tab                     { font-family: RobotoBoldCond; font-size: 15.4px; position: absolute; left: 74px; top: 24px; width:250px; }
.pos-tab-image                      { position: absolute; left: 45px; top: 21px; }
.pos-detail-tab-icon-text__offset    { position: absolute; left: -4px; top: -4px; }
.pos-text-title-tab__no-icon { position: absolute; left: 37px; top: 17px; }

/*
 DATAFRAME SUMMARY
------------------------------------*/
.pos-dataframe-summary-title-source { position: absolute; left: 0px; top: 12px; width: 250px; text-align: right; }
.pos-dataframe-summary-title-compare { position: absolute; left: 350px; top: 12px; width: 250px; text-align: left; }
.pos-dataframe-summary-title-compare-none { position: absolute; left: 350px; top: 16px; width: 250px; text-align: left; }
.pos-dataframe-summary  { position: absolute; top: 9px; left: 380px; }
.pos-dataframe-summary-rows  { position: absolute; top: 47px; left: 19px; }
.dataframe-summary-row  { height: 13px; width: 563px; line-height: 12px; }
.pos-df-summary-source      { position: absolute; left: 0px; width: 231px; text-align: right;}
.pos-df-summary-center     { position: absolute; left: 231px; width: 100px; text-align: center;}
.pos-df-summary-compare      { position: absolute; left: 331px; width: 200px; text-align: left;}
.size-df-summary-button     { width: 156px; height: 35px; }
.pos-df-summary-button-assoc-source { position: absolute; top: 54px; left: 10px; }
.pos-df-summary-button-assoc-compare { position: absolute; top: 54px; left: 397px; }

/*
 FEATURE SUMMARY
------------------------------------*/
.summary-number
{
    position: absolute; top: 17px; left: 0px; width: 34px;
    font-family: RobotoBoldCond; font-size: 26px;
    color: #d9d9d9; text-align: right;
}
.summary-number-vertical
{
    position: absolute; top: 25px; left: 6px; width: 34px;
    font-family: RobotoBoldCond; font-size: 26px;
    color: #d9d9d9; text-align: right;
    text-orientation: mixed;
    writing-mode: vertical-rl;
}

/* BASE STATS */
.pos-base-stats                 { position: absolute; top: 65px; left: 74px; }
.pos-base-stats-in-detail       { position: absolute; top: 49px; left: 68px; }
.base-stats-row                 { height: 13px; width: 200px; }
.pos-base-stats__label         { position: absolute; left: 0px; text-align: left;}
.pos-base-stats__source        { position: absolute; left: 55px; width: 55px; text-align: right;}
.pos-base-stats__source-perc   { position: absolute; left: 113px; width: 35px; text-align: right;}
.pos-base-stats__compare       { position: absolute; left: 153px; width: 55px; text-align: right;}
.pos-base-stats__compare-perc  { position: absolute; left: 211px; width: 35px; text-align: right;}

/* These are all NUMERICAL SUMMARY actually! */
.pos-summary-numeric-group1             { position: absolute; top: 67px; left: 372px; }
.pos-summary-numeric-group2             { position: absolute; top: 67px; left: 560px; }
.pos-summary-numeric-source          { position: absolute; left: 40px; width: 50px; text-align: right;}
.pos-summary-numeric-compare         { position: absolute; left: 90px; width: 50px; text-align: right;}
.pos-summary-numeric-source-wide          { position: absolute; left: 40px; width: 64px; text-align: right;}
.pos-summary-numeric-compare-wide         { position: absolute; left: 104px; width: 64px; text-align: right;}
.pos-detail-num__top                  { position: absolute; top: 63px; line-height: 13px; }
.pos-detail-num-col1__labels          { left: 320px; text-align: left; }
.pos-detail-num-col1__source          { right: 636px; text-align: right;}
.pos-detail-num-col1__compare         { right: 581px; text-align: right; }
.pos-detail-num-col2__labels          { left: 520px; text-align: left; }
.pos-detail-num-col2__source          { right: 441px; text-align: right;}
.pos-detail-num-col2__compare         { right: 386px; text-align: right; }

.pos-summary-text   { position: absolute; left: 372px; top: 67px; }
.summary-text       { overflow: hidden; text-overflow: ellipsis; position: absolute; height: 14px; white-space: nowrap; }

.pos-minigraph-cat      { position: absolute; right: 40px; top: 62px; }
.pos-minigraph-numeric  { position: absolute; right: 40px; top: 62px; }

.selector {}
.selector__body { z-index:10; position: absolute;  left: 0px; top:40px; width: 1040px; height: 134px; }
.selector__bottom { z-index:10; position: absolute;  left: 305px; top:174px; width: 735px; height: 22px; }
.selector__top { z-index:10; position: absolute;  left: 0px; top:16px; width: 305px; height: 24px; }

/*
DETAILS
------------------------------------*/
.pos-detail-cat-graph                 { position: absolute; left: 45px; top: 120px; }
.pos-detail-cat-breakdown             { position: absolute; left: 44px; overflow: hidden; }
.pos-detail-num-graph                 { position: absolute; left: 50px; top: 78px; }
.pos-detail-num-buttons               { position: absolute; left: 400px; top: 46px; width: 212px; }

.pos-detail-assoc-graph               { position: absolute; left: 28px; top: 84px; }
.pos-detail-assoc-desc-text           { position: absolute; left: 37px; top: 41px;     width: 800px;     line-height: 11px;}

.pos-detail-text                   { position: absolute; left: 45px; top: 75px; }

/* DETAIL LISTS */
.container-detail-assoc               { position: absolute; left: 40px; top: 27px; width: 215px;}
.pos-detail-num-most               { position: absolute; left: 20px; top: 606px; }
.pos-detail-num-min               { position: absolute; left: 313px; top: 606px; }
.pos-detail-num-max               { position: absolute; left: 607px; top: 606px; }
.pos-detail-num-label               { position: absolute; left: 0px; width: 56px; }
.pos-detail-num-source-pair         { position: absolute; width: 84px; left: 53px;}
.pos-detail-num-compare-pair         { position: absolute; width: 84px; left: 135px;}
.pos-detail-num-pair-pos__num      { position: absolute; left: 0px; width: 42px; text-align: right;}
.pos-detail-num-pair-pos__perc     { position: absolute; left: 49px; width: 30px; text-align: right; }

/* Number, percentage pairs in CATEGORICAL breakdown */
.pair__col          { position: absolute; width: 84px; }
.pair__header       { position: absolute; width: 79px; text-align: center;}
.pair-pos__num      { position: absolute; left: 0px; width: 42px; text-align: right;}
.pair-pos__perc     { position: absolute; left: 49px; width: 30px; text-align: right; }

/* DETAIL-ASSOC */
.pos-detail-cat-assoc-1              { position: absolute; left: 618px; top: 28px; width: 275px;}
.pos-detail-cat-assoc-CN              { position: absolute; left: 618px; top: 565px; width: 275px;}
.pos-assoc-row__label             { position: absolute; left: 0px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; width: 156px;}
.pos-assoc-row__source            { position: absolute; left: 150px; text-align: right; width: 30px; }
.pos-assoc-row__compare           { position: absolute; left: 120px; text-align: right; width: 30px; }

/* NUM-DETAIL COLS */
.pos-num-detail-row__label        { position: absolute; left: 0px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; width: 62px;}

hr { background-color: #58544f; height: 1px; border-width: 0px; }

button
{
	box-shadow:inset 0px 1px 0px 0px #ffffff;
	background:linear-gradient(to bottom, #f9f9f9 5%, #e9e9e9 100%);
	background-color:#f9f9f9;
	border-radius:6px;
	border:1px solid #dcdcdc;
	display:inline-block;
	cursor:pointer;
	color:#666666;
	font-family:Arial;
	font-size:10px;
	padding:3px 13px;
	text-decoration:none;
	text-shadow:0px 1px 0px #ffffff;
}
.button-assoc {
    outline: none;
}
.button-assoc:hover {
	border:2px solid #221f1f;
    outline: none;
}
.button-assoc:focus {
    outline: none;
}
.button-assoc-selected {
	border:2px solid #ff0000;
}
.button-assoc-selected:hover {
	border:2px solid #ff0000;
}
.button-assoc-selected:focus {
	border:2px solid #ff0000;
    outline: none;
}
 </style>

    <style>

                span.minigraph-f1::before { content: 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                    span.detail_graph-f1-::before { content: 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);}
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);}
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);}
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);}
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<body>
<div class="page-root">
    <!-- TOP HEADER -->
    <!-- ALL SUMMARY TABS -->
    <div class="page-column-main" id="col1" style="transform: scale(1.0);transform-origin: 0 0;">
        <!-- DF Summary -->

        <!-- ASSOCIATIONS (VERTICAL ONLY) -->

        <!-- ALL SUMMARIES -->
       <div class="container-feature-summary" id="summary-df" data-detail-div="detail-df">
    <div class="pos-dataframe-summary text-label">
        <span class="top-header"></span>
        <div class="pos-dataframe-summary-title-source text-dataframe-title color-source">DataFrame</div>
            <div class="pos-dataframe-summary-title-compare-none text-dataframe-title-small color-title-disabled">NO COMPARISON TARGET</div>
        <div class="pos-dataframe-summary-rows">
            <div class="dataframe-summary-row row-colored">
                <div class="pos-df-summary-source color-source">31</div>
                <div class="pos-df-summary-center">ROWS</div>
                <div class="pos-df-summary-compare color-compare"></div>
            </div>
             <div class="dataframe-summary-row">
                <div class="pos-df-summary-source color-source">0</div>
                <div class="pos-df-summary-center">DUPLICATES</div>
                <div class="pos-df-summary-compare color-compare"></div>
            </div>
            <div class="dataframe-summary-row row-colored">
                <div class="pos-df-summary-source color-source">6.9 kb</div>
                <div class="pos-df-summary-center">RAM</div>
                <div class="pos-df-summary-compare color-compare"></div>
            </div>
            <div class="dataframe-summary-row row">
                <div class="pos-df-summary-source color-source">
                    8
                </div>
                <div class="pos-df-summary-center">FEATURES</div>
                <div class="pos-df-summary-compare color-compare">
                </div>
            </div>
            <div class="dataframe-summary-row row-colored">
                <div class="pos-df-summary-source color-source">4</div>
                <div class="pos-df-summary-center">CATEGORICAL</div>
                <div class="pos-df-summary-compare color-compare"></div>
            </div>
             <div class="dataframe-summary-row ">
                <div class="pos-df-summary-source color-source">3</div>
                <div class="pos-df-summary-center">NUMERICAL</div>
                <div class="pos-df-summary-compare color-compare"></div>
            </div>
            <div class="dataframe-summary-row row-colored">
                <div class="pos-df-summary-source color-source">1</div>
                <div class="pos-df-summary-center">TEXT</div>
                <div class="pos-df-summary-compare color-compare"></div>
            </div>
            <button class="button-assoc color-source button-border-source size-df-summary-button pos-df-summary-button-assoc-source" id="button-summary-associations-source"
                data-detail-div="df-assoc-source">ASSOCIATIONS</button >
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    </div>
</div>


            <div class="pos-logo-group">
                <div class="pos-logo im-logo"></div>
                <div class="pos-credits text-credits">
                    <span class="text-version">2.0.9<br>
                    <a href="https://github.com/fbdesignpro/sweetviz">Get updates, docs & report issues here</a></span><br>
                    Created & maintained by <a href="https://www.fbdesignpro.com">Francois Bertrand</a> <br>
                    Graphic design by <a href="https://www.fbdesignpro.com" data-reach="Jeff is working on his contact info :)">Jean-Francois Hains</a>
                </div>
            </div>
        <div class="page-all-summaries">
            <span class="graph-legend" style="left: 391px;position: absolute;top: 5px;"></span>
            <!-- TARGET Summary -->
            <!-- FEATURE Summaries -->
                <div class="pos-feature-summary" style="top: 0.0px">
                    <div class="container-feature-summary" id="summary-f0"
        style="top: 0px">
    <div class="selector selector__body" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div>
    <div class="selector selector__bottom" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div>
    <div class="selector selector__top" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div>
    <span class="bg-tab-summary" style="z-index: -20000"></span>
    <span class="bg-tab-summary-rollover" id="rollover-f0" style="z-index: -19999"></span>
    <div class="summary-number"
        >
        1
    </div>
    <div class="pos-tab-image ic-text"></div>
    <span class="text-title-tab color-normal">Name</span>
    <div class="pos-base-stats">
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label  ">VALUES:</div>
            <div class="text-value color-source pos-base-stats__source">
                31
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            <div class="text-value color-source pos-base-stats__source-perc">
                (100%)
            </div>
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
        <div class="base-stats-row">
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
            <div class="text-distinct color-source pos-base-stats__source">
                31
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (100%)
            </div>
        </div>
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    <div class="pos-summary-text">
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            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 519px;">
                Felix
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        </div>
        <div class="breakdown-row text-value row-colored" style="width: 618px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 519px;">
                Fritz
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        <div class="breakdown-row text-value " style="width: 618px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 519px;">
                Miaulis
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 618px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 519px;">
                Sunflower
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 618px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 519px;">
                Snuggles
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 618px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 519px;">
                Midnight
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 618px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 519px;">
                Maple
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 618px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">24</div>
                <div class="pair-pos__perc">77%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 519px;">
                (Other)
            </div>
        </div>
    </div>
</div>
                    <!-- This DETAIL WINDOW (VERTICAL ONLY) -->
                </div>
                <div class="pos-feature-summary" style="top: 0.0px">
                    <div class="container-feature-summary" id="summary-f1"
     style="top: 0px">
    <div class="selector selector__body" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div>
    <div class="selector selector__bottom" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div>
    <div class="selector selector__top" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div>
    <span class="bg-tab-summary" style="z-index: -19998"></span>
    <span class="bg-tab-summary-rollover" id="rollover-f1" style="z-index: -19997"></span>
    <div class="summary-number"
        >
        2
    </div>
    <div class="pos-tab-image ic-cat"></div>
    <span class="text-title-tab color-normal ">Species</span>
    <div class="pos-base-stats">
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label  ">VALUES:</div>
            <div class="text-value color-source pos-base-stats__source">
                31
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (100%)
            </div>
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
        <div class="base-stats-row">
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
            <div class="text-distinct color-source pos-base-stats__source">
                5
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (16%)
            </div>
        </div>
    </div>
    <span class="minigraph-f1 pos-minigraph-cat"></span>
</div>
                    <!-- This DETAIL WINDOW (VERTICAL ONLY) -->
                </div>
                <div class="pos-feature-summary" style="top: 0.0px">
                    <div class="container-feature-summary" id="summary-f2"
     style="top: 0px">
    <div class="selector selector__body" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div>
    <div class="selector selector__bottom" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div>
    <div class="selector selector__top" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div>
    <span class="bg-tab-summary" style="z-index: -19996"></span>
    <span class="bg-tab-summary-rollover" id="rollover-f2" style="z-index: -19995"></span>
    <div class="summary-number"
        >
        3
    </div>
    <div class="pos-tab-image ic-cat"></div>
    <span class="text-title-tab color-normal ">Gender</span>
    <div class="pos-base-stats">
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label  ">VALUES:</div>
            <div class="text-value color-source pos-base-stats__source">
                31
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (100%)
            </div>
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
        <div class="base-stats-row">
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
            <div class="text-distinct color-source pos-base-stats__source">
                2
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (6%)
            </div>
        </div>
    </div>
    <span class="minigraph-f2 pos-minigraph-cat"></span>
</div>
                    <!-- This DETAIL WINDOW (VERTICAL ONLY) -->
                </div>
                <div class="pos-feature-summary" style="top: 0.0px">
                    <div class="container-feature-summary" id="summary-f3"
     style="top: 0px">
    <div class="selector selector__body" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div>
    <div class="selector selector__bottom" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div>
    <div class="selector selector__top" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div>
    <span class="bg-tab-summary" style="z-index: -19994"></span>
    <span class="bg-tab-summary-rollover" id="rollover-f3" style="z-index: -19993"></span>
    <div class="summary-number"
        >
        4
    </div>
    <div class="pos-tab-image ic-numeric"></div>
    <span class="text-title-tab color-normal">Age (years)</span>

    <div class="pos-base-stats">
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label  ">VALUES:</div>
            <div class="text-value color-source pos-base-stats__source">
                31
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (100%)
            </div>
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
        <div class="base-stats-row">
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
            <div class="text-distinct color-source pos-base-stats__source">
                11
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (35%)
            </div>
        </div>
            <div class="base-stats-row">
            </div>
            <div class="base-stats-row">
                <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
                <div class="text-value color-source pos-base-stats__source">
                        ---
                </div>
                <div class="text-value color-source pos-base-stats__source-perc">

                </div>
            </div>
    </div>

    <div class="pos-summary-numeric-group1">
        <div class="row-numeric-summary  row-separator-bottom ">
            <div class="text-label" style="position:absolute">MAX</div>
            <div class="pos-summary-numeric-source text-value color-source">16.0</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">95%</div>
            <div class="pos-summary-numeric-source text-value color-source">10.5</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">Q3</div>
            <div class="pos-summary-numeric-source text-value color-source">6.5</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">AVG</div>
            <div class="pos-summary-numeric-source text-value color-source">4.5</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">MEDIAN</div>
            <div class="pos-summary-numeric-source text-value color-source">3.0</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">Q1</div>
            <div class="pos-summary-numeric-source text-value color-source">2.0</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">5%</div>
            <div class="pos-summary-numeric-source text-value color-source">1.0</div>
        </div>
        <div class="row-numeric-summary row-separator-top  ">
            <div class="text-label" style="position:absolute">MIN</div>
            <div class="pos-summary-numeric-source text-value color-source">1.0</div>
        </div>
    </div>
    <div class="pos-summary-numeric-group2">
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">RANGE</div>
                <div class="pos-summary-numeric-source text-value color-source">15.0</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">IQR</div>
                <div class="pos-summary-numeric-source text-value color-source">4.50</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">STD</div>
                <div class="pos-summary-numeric-source text-value color-source">3.50</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">VAR</div>
                <div class="pos-summary-numeric-source text-value color-source">12.3</div>
        </div>
        <div class="row-numeric-summary">
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">KURT.</div>
                <div class="pos-summary-numeric-source text-value color-source">2.59</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">SKEW</div>
                <div class="pos-summary-numeric-source text-value color-source">1.51</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">SUM</div>
                <div class="pos-summary-numeric-source text-value color-source">139</div>
        </div>
    </div>
    <span class="minigraph-f3 pos-minigraph-numeric"></span>
</div>
                    <!-- This DETAIL WINDOW (VERTICAL ONLY) -->
                </div>
                <div class="pos-feature-summary" style="top: 0.0px">
                    <div class="container-feature-summary" id="summary-f4"
     style="top: 0px">
    <div class="selector selector__body" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div>
    <div class="selector selector__bottom" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div>
    <div class="selector selector__top" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div>
    <span class="bg-tab-summary" style="z-index: -19992"></span>
    <span class="bg-tab-summary-rollover" id="rollover-f4" style="z-index: -19991"></span>
    <div class="summary-number"
        >
        5
    </div>
    <div class="pos-tab-image ic-cat"></div>
    <span class="text-title-tab color-normal ">Fixed</span>
    <div class="pos-base-stats">
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label  ">VALUES:</div>
            <div class="text-value color-source pos-base-stats__source">
                31
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (100%)
            </div>
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
        <div class="base-stats-row">
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
            <div class="text-distinct color-source pos-base-stats__source">
                2
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (6%)
            </div>
        </div>
    </div>
    <span class="minigraph-f4 pos-minigraph-cat"></span>
</div>
                    <!-- This DETAIL WINDOW (VERTICAL ONLY) -->
                </div>
                <div class="pos-feature-summary" style="top: 0.0px">
                    <div class="container-feature-summary" id="summary-f5"
     style="top: 0px">
    <div class="selector selector__body" data-detail-div="detail-f5" data-rollover-span="rollover-f5"></div>
    <div class="selector selector__bottom" data-detail-div="detail-f5" data-rollover-span="rollover-f5"></div>
    <div class="selector selector__top" data-detail-div="detail-f5" data-rollover-span="rollover-f5"></div>
    <span class="bg-tab-summary" style="z-index: -19990"></span>
    <span class="bg-tab-summary-rollover" id="rollover-f5" style="z-index: -19989"></span>
    <div class="summary-number"
        >
        6
    </div>
    <div class="pos-tab-image ic-cat"></div>
    <span class="text-title-tab color-normal ">Legs</span>
    <div class="pos-base-stats">
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label  ">VALUES:</div>
            <div class="text-value color-source pos-base-stats__source">
                31
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (100%)
            </div>
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
        <div class="base-stats-row">
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
            <div class="text-distinct color-source pos-base-stats__source">
                3
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (10%)
            </div>
        </div>
    </div>
    <span class="minigraph-f5 pos-minigraph-cat"></span>
</div>
                    <!-- This DETAIL WINDOW (VERTICAL ONLY) -->
                </div>
                <div class="pos-feature-summary" style="top: 0.0px">
                    <div class="container-feature-summary" id="summary-f6"
     style="top: 0px">
    <div class="selector selector__body" data-detail-div="detail-f6" data-rollover-span="rollover-f6"></div>
    <div class="selector selector__bottom" data-detail-div="detail-f6" data-rollover-span="rollover-f6"></div>
    <div class="selector selector__top" data-detail-div="detail-f6" data-rollover-span="rollover-f6"></div>
    <span class="bg-tab-summary" style="z-index: -19988"></span>
    <span class="bg-tab-summary-rollover" id="rollover-f6" style="z-index: -19987"></span>
    <div class="summary-number"
        >
        7
    </div>
    <div class="pos-tab-image ic-numeric"></div>
    <span class="text-title-tab color-normal">Weight (lbs)</span>

    <div class="pos-base-stats">
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label  ">VALUES:</div>
            <div class="text-value color-source pos-base-stats__source">
                31
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (100%)
            </div>
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
        <div class="base-stats-row">
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
            <div class="text-distinct color-source pos-base-stats__source">
                30
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (97%)
            </div>
        </div>
            <div class="base-stats-row">
            </div>
            <div class="base-stats-row">
                <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
                <div class="text-value color-source pos-base-stats__source">
                        ---
                </div>
                <div class="text-value color-source pos-base-stats__source-perc">

                </div>
            </div>
    </div>

    <div class="pos-summary-numeric-group1">
        <div class="row-numeric-summary  row-separator-bottom ">
            <div class="text-label" style="position:absolute">MAX</div>
            <div class="pos-summary-numeric-source text-value color-source">172</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">95%</div>
            <div class="pos-summary-numeric-source text-value color-source">142</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">Q3</div>
            <div class="pos-summary-numeric-source text-value color-source">60</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">AVG</div>
            <div class="pos-summary-numeric-source text-value color-source">41</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">MEDIAN</div>
            <div class="pos-summary-numeric-source text-value color-source">13</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">Q1</div>
            <div class="pos-summary-numeric-source text-value color-source">5</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">5%</div>
            <div class="pos-summary-numeric-source text-value color-source">1</div>
        </div>
        <div class="row-numeric-summary row-separator-top  ">
            <div class="text-label" style="position:absolute">MIN</div>
            <div class="pos-summary-numeric-source text-value color-source">0</div>
        </div>
    </div>
    <div class="pos-summary-numeric-group2">
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">RANGE</div>
                <div class="pos-summary-numeric-source text-value color-source">172</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">IQR</div>
                <div class="pos-summary-numeric-source text-value color-source">55.0</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">STD</div>
                <div class="pos-summary-numeric-source text-value color-source">48.7</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">VAR</div>
                <div class="pos-summary-numeric-source text-value color-source">2,376</div>
        </div>
        <div class="row-numeric-summary">
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">KURT.</div>
                <div class="pos-summary-numeric-source text-value color-source">1.10</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">SKEW</div>
                <div class="pos-summary-numeric-source text-value color-source">1.36</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">SUM</div>
                <div class="pos-summary-numeric-source text-value color-source">1,271</div>
        </div>
    </div>
    <span class="minigraph-f6 pos-minigraph-numeric"></span>
</div>
                    <!-- This DETAIL WINDOW (VERTICAL ONLY) -->
                </div>
                <div class="pos-feature-summary" style="top: 0.0px">
                    <div class="container-feature-summary" id="summary-f7"
     style="top: 0px">
    <div class="selector selector__body" data-detail-div="detail-f7" data-rollover-span="rollover-f7"></div>
    <div class="selector selector__bottom" data-detail-div="detail-f7" data-rollover-span="rollover-f7"></div>
    <div class="selector selector__top" data-detail-div="detail-f7" data-rollover-span="rollover-f7"></div>
    <span class="bg-tab-summary" style="z-index: -19986"></span>
    <span class="bg-tab-summary-rollover" id="rollover-f7" style="z-index: -19985"></span>
    <div class="summary-number"
        >
        8
    </div>
    <div class="pos-tab-image ic-numeric"></div>
    <span class="text-title-tab color-normal">Time to Adoption (weeks)</span>

    <div class="pos-base-stats">
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label  ">VALUES:</div>
            <div class="text-value color-source pos-base-stats__source">
                31
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (100%)
            </div>
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
        <div class="base-stats-row">
        </div>
        <div class="base-stats-row">
            <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div>
            <div class="text-distinct color-source pos-base-stats__source">
                11
            </div>
            <div class="text-value color-source pos-base-stats__source-perc">
                (35%)
            </div>
        </div>
            <div class="base-stats-row">
            </div>
            <div class="base-stats-row">
                <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div>
                <div class="text-value color-source pos-base-stats__source">
                        ---
                </div>
                <div class="text-value color-source pos-base-stats__source-perc">

                </div>
            </div>
    </div>

    <div class="pos-summary-numeric-group1">
        <div class="row-numeric-summary  row-separator-bottom ">
            <div class="text-label" style="position:absolute">MAX</div>
            <div class="pos-summary-numeric-source text-value color-source">30.0</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">95%</div>
            <div class="pos-summary-numeric-source text-value color-source">17.0</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">Q3</div>
            <div class="pos-summary-numeric-source text-value color-source">7.0</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">AVG</div>
            <div class="pos-summary-numeric-source text-value color-source">5.8</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">MEDIAN</div>
            <div class="pos-summary-numeric-source text-value color-source">4.0</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">Q1</div>
            <div class="pos-summary-numeric-source text-value color-source">2.5</div>
        </div>
        <div class="row-numeric-summary   ">
            <div class="text-label" style="position:absolute">5%</div>
            <div class="pos-summary-numeric-source text-value color-source">1.0</div>
        </div>
        <div class="row-numeric-summary row-separator-top  ">
            <div class="text-label" style="position:absolute">MIN</div>
            <div class="pos-summary-numeric-source text-value color-source">1.0</div>
        </div>
    </div>
    <div class="pos-summary-numeric-group2">
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">RANGE</div>
                <div class="pos-summary-numeric-source text-value color-source">29.0</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">IQR</div>
                <div class="pos-summary-numeric-source text-value color-source">4.50</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">STD</div>
                <div class="pos-summary-numeric-source text-value color-source">6.28</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">VAR</div>
                <div class="pos-summary-numeric-source text-value color-source">39.4</div>
        </div>
        <div class="row-numeric-summary">
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">KURT.</div>
                <div class="pos-summary-numeric-source text-value color-source">8.58</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">SKEW</div>
                <div class="pos-summary-numeric-source text-value color-source">2.79</div>
        </div>
        <div class="row-numeric-summary">
                <div class="text-label" style="position:absolute">SUM</div>
                <div class="pos-summary-numeric-source text-value color-source">181</div>
        </div>
    </div>
    <span class="minigraph-f7 pos-minigraph-numeric"></span>
</div>
                    <!-- This DETAIL WINDOW (VERTICAL ONLY) -->
                </div>
        </div>
    </div>

    <!-- ALL DETAIL WINDOWS (WIDESCREEN ONLY) -->
        <div class="page-column-detail" id="col2">
                <div class="isHidden container-feature-detail" id="df-assoc-source"Yellow
>
<div class="container-feature-detail__offset"
>
    <span class="bg-tab-detail-wide"></span>
    <span class="text-title-tab pos-text-title-tab__no-icon">Associations</span>
    <div class="text-med  pos-detail-assoc-desc-text" style="font-size: 11px;">
        <span class="color-source">[Only including dataset "DataFrame"]</span>
         <b>Squares</b> are categorical associations (uncertainty coefficient & correlation ratio) from 0 to 1. The uncertainty coefficient is <b>assymmetrical</b>,
        (approximating how much the elements on the left PROVIDE INFORMATION on elements in the row).
        <b>Circles</b> are the symmetrical numerical correlations (Pearson's) from -1 to 1. The <b>trivial diagonal</b> is intentionally left blank for clarity.
    </div>
    <span class="association-graph-source pos-detail-assoc-graph"></span>
</div>
</div>

                <div class="isHidden container-feature-detail" id="df-assoc-compare"Yellow
>
<div class="container-feature-detail__offset"
>
    <span class="bg-tab-detail-wide"></span>
    <span class="text-title-tab pos-text-title-tab__no-icon">Associations</span>
    <div class="text-med  pos-detail-assoc-desc-text" style="font-size: 11px;">
        <span class="color-compare">[Only including dataset "None"]</span>
         <b>Squares</b> are categorical associations (uncertainty coefficient & correlation ratio) from 0 to 1. The uncertainty coefficient is <b>assymmetrical</b>,
        (approximating how much the elements on the left PROVIDE INFORMATION on elements in the row).
        <b>Circles</b> are the symmetrical numerical correlations (Pearson's) from -1 to 1. The <b>trivial diagonal</b> is intentionally left blank for clarity.
    </div>
    <span class="association-graph-compare pos-detail-assoc-graph"></span>
</div>
</div>

            <!-- TARGET Detail -->
            <!-- FEATURE Details -->
                <div class="isHidden container-feature-detail"
     id="detail-f0">
<div class="container-feature-detail__offset">
        <span class="bg-tab-detail-wide" style="left: 12px"></span>
        <div class="pos-detail-tab-icon-text__offset">
            <div class="pos-tab-image ic-text"></div>
            <span class="text-title-tab">Name</span>
        </div>
    <div class="pos-base-stats-in-detail">
        <div class="row-missing">
            <div class="text-label color-normal pos-base-stats__label">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
</div>

    <div class="pos-detail-text"  >
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Felix
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Fritz
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Miaulis
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Sunflower
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Snuggles
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Midnight
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Maple
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Ada
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Snuffles
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Heathcliff
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Daisy
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Sheba
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Nori
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Gila
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Bo
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Tinkles
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Hercules
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Mr. Peanutbutter
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Buddy
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Wade
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Gir
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Nibblet
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Toggle
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Mittens
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Kujo
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Boo-boo
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Snowcone
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Sasha
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Lucky
            </div>
        </div>
        <div class="breakdown-row text-value row-colored" style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Max
            </div>
        </div>
        <div class="breakdown-row text-value " style="width: 800px;">
            <div class="pair__col color-source">
                <div class="pair-pos__num dim">1</div>
                <div class="pair-pos__perc">3%</div>
            </div>
                <div class="pair__col color-compare" style="position: absolute; left: px">
                    <div class="pair-pos__num dim">-</div>
                    <div class="pair-pos__perc">-</div>
                </div>
            <div class="summary-text color-normal" style="left: 99px; width: 701px;">
                Rex
            </div>
        </div>
    </div>
</div>
</div>

                <div class="isHidden container-feature-detail"
     id="detail-f1">
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        <span class="bg-tab-detail-med"></span>
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            <div class="pos-tab-image ic-cat"></div>
            <span class="text-title-tab">Species</span>
        </div>
    <div class="pos-base-stats-in-detail">
        <div class="row-missing">
            <div class="text-label color-normal pos-base-stats__label">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
</div>

    <span class="detail_graph-f1-
                pos-detail-cat-graph" id="detail_graph-f1"
    style="top: 75px;"></span>

    <div class="pos-detail-cat-breakdown " id="detail_breakdown-f1"
        style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. -->
        <!-- HEADER ROW -->
        <div class="breakdown-row-header text-value" style="width:553px">
            <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
            <div class="breakdown-hr"><hr></div>
            <div class="pair__header color-source" style="left: 84px"></div>
            <!-- Targets -->
                <div class="pair__header color-compare" style="position: absolute; left: px">
                    <!--None-->
                </div>
        </div>

        <!-- ROW CONTENT -->
            <div class="breakdown-row text-value " style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 84px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">dog</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 84px">
                    <div class="pair-pos__num dim">15</div>
                    <div class="pair-pos__perc">48%</div>
                </div>
                <!-- Targets -->
            </div>
            <div class="breakdown-row text-value row-colored" style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 84px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">cat</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 84px">
                    <div class="pair-pos__num dim">11</div>
                    <div class="pair-pos__perc">35%</div>
                </div>
                <!-- Targets -->
            </div>
            <div class="breakdown-row text-value " style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 84px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">rabbit</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 84px">
                    <div class="pair-pos__num dim">2</div>
                    <div class="pair-pos__perc">6%</div>
                </div>
                <!-- Targets -->
            </div>
            <div class="breakdown-row text-value row-colored" style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 84px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">lizard</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 84px">
                    <div class="pair-pos__num dim">2</div>
                    <div class="pair-pos__perc">6%</div>
                </div>
                <!-- Targets -->
            </div>
            <div class="breakdown-row text-value " style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 84px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">tarantula</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 84px">
                    <div class="pair-pos__num dim">1</div>
                    <div class="pair-pos__perc">3%</div>
                </div>
                <!-- Targets -->
            </div>
                <div class="breakdown-row text-value" style="width:553px">
                </div>
            <div class="breakdown-row text-value row-colored" style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 84px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 84px">
                    <div class="pair-pos__num dim">31</div>
                    <div class="pair-pos__perc">100%</div>
                </div>
                <!-- Targets -->
            </div>
        <div id="detail_cat_end-1"></div>
    </div>

    <!-- ASSOCIATIONS -->
    <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f1">
        <!-- no background for target in vertical mode -->
        <span class="bg-extra-column"></span>
        <div class="container-detail-assoc " id="cat-assoc-window-f1">
            <!-- CAT-CAT -->
            <div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
                CATEGORICAL ASSOCIATIONS<br>
                (UNCERTAINTY COEFFICIENT, 0 to 1)
            </div>
            <div class="text-large-bold" style="line-height: 104%;">Species<br>
            PROVIDES INFORMATION ON...</div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Legs<!----></div>
                    <div class="pos-assoc-row__source text-label color-source">0.58</div>
                </div>
                <div class="assoc-row row-colored" >
                    <div class="pos-assoc-row__label text-label">Gender<!----></div>
                    <div class="pos-assoc-row__source text-label color-source">0.05</div>
                </div>
                <div class="assoc-row " >
                    <div class="pos-assoc-row__label text-label">Fixed<!----></div>
                    <div class="pos-assoc-row__source text-label color-source">0.05</div>
                </div>
            <br>
            <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
            ON Species:</div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Legs</div>
                    <div class="pos-assoc-row__source text-label color-source">0.14</div>
                </div>
                <div class="assoc-row row-colored" >
                    <div class="pos-assoc-row__label text-label">Gender</div>
                    <div class="pos-assoc-row__source text-label color-source">0.03</div>
                </div>
                <div class="assoc-row " >
                    <div class="pos-assoc-row__label text-label">Fixed</div>
                    <div class="pos-assoc-row__source text-label color-source">0.03</div>
                </div>
            <br>
            <!-- CAT-NUM -->
            <div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
                NUMERICAL ASSOCIATIONS<br>
                (CORRELATION RATIO, 0 to 1)
            </div>
            <div class="text-large-bold" style="line-height: 104%;">Species<br>
                    CORRELATION RATIO WITH...</div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Weight (lbs)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.77</div>
                </div>
                <div class="assoc-row row-colored" style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Time to Adoption (weeks)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.40</div>
                </div>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Age (years)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.24</div>
                </div>
        </div>
    </div>
</div>
</div>
                <div class="isHidden container-feature-detail"
     id="detail-f2">
<div class="container-feature-detail__offset">
        <span class="bg-tab-detail-med"></span>
        <div class="pos-detail-tab-icon-text__offset">
            <div class="pos-tab-image ic-cat"></div>
            <span class="text-title-tab">Gender</span>
        </div>
    <div class="pos-base-stats-in-detail">
        <div class="row-missing">
            <div class="text-label color-normal pos-base-stats__label">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
</div>

    <span class="detail_graph-f2-
                pos-detail-cat-graph" id="detail_graph-f2"
    style="top: 75px;"></span>

    <div class="pos-detail-cat-breakdown " id="detail_breakdown-f2"
        style="top: 204.0px;"> <!-- height: 706.0px;"> WHY was this needed? Causes issue in vertical layout. -->
        <!-- HEADER ROW -->
        <div class="breakdown-row-header text-value" style="width:553px">
            <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
            <div class="breakdown-hr"><hr></div>
            <div class="pair__header color-source" style="left: 66px"></div>
            <!-- Targets -->
                <div class="pair__header color-compare" style="position: absolute; left: px">
                    <!--None-->
                </div>
        </div>

        <!-- ROW CONTENT -->
            <div class="breakdown-row text-value " style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">male</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 66px">
                    <div class="pair-pos__num dim">16</div>
                    <div class="pair-pos__perc">52%</div>
                </div>
                <!-- Targets -->
            </div>
            <div class="breakdown-row text-value row-colored" style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">female</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 66px">
                    <div class="pair-pos__num dim">15</div>
                    <div class="pair-pos__perc">48%</div>
                </div>
                <!-- Targets -->
            </div>
                <div class="breakdown-row text-value" style="width:553px">
                </div>
            <div class="breakdown-row text-value " style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 66px">
                    <div class="pair-pos__num dim">31</div>
                    <div class="pair-pos__perc">100%</div>
                </div>
                <!-- Targets -->
            </div>
        <div id="detail_cat_end-2"></div>
    </div>

    <!-- ASSOCIATIONS -->
    <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f2">
        <!-- no background for target in vertical mode -->
        <span class="bg-extra-column"></span>
        <div class="container-detail-assoc " id="cat-assoc-window-f2">
            <!-- CAT-CAT -->
            <div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
                CATEGORICAL ASSOCIATIONS<br>
                (UNCERTAINTY COEFFICIENT, 0 to 1)
            </div>
            <div class="text-large-bold" style="line-height: 104%;">Gender<br>
            PROVIDES INFORMATION ON...</div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Legs<!----></div>
                    <div class="pos-assoc-row__source text-label color-source">0.16</div>
                </div>
                <div class="assoc-row row-colored" style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Fixed<!----></div>
                    <div class="pos-assoc-row__source text-label color-source">0.14</div>
                </div>
                <div class="assoc-row " >
                    <div class="pos-assoc-row__label text-label">Species<!----></div>
                    <div class="pos-assoc-row__source text-label color-source">0.03</div>
                </div>
            <br>
            <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
            ON Gender:</div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Fixed</div>
                    <div class="pos-assoc-row__source text-label color-source">0.14</div>
                </div>
                <div class="assoc-row row-colored" >
                    <div class="pos-assoc-row__label text-label">Legs</div>
                    <div class="pos-assoc-row__source text-label color-source">0.06</div>
                </div>
                <div class="assoc-row " >
                    <div class="pos-assoc-row__label text-label">Species</div>
                    <div class="pos-assoc-row__source text-label color-source">0.05</div>
                </div>
            <br>
            <!-- CAT-NUM -->
            <div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
                NUMERICAL ASSOCIATIONS<br>
                (CORRELATION RATIO, 0 to 1)
            </div>
            <div class="text-large-bold" style="line-height: 104%;">Gender<br>
                    CORRELATION RATIO WITH...</div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Age (years)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.38</div>
                </div>
                <div class="assoc-row row-colored" style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Time to Adoption (weeks)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.31</div>
                </div>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Weight (lbs)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.30</div>
                </div>
        </div>
    </div>
</div>
</div>
                <div class="isHidden container-feature-detail"
    id="detail-f3" >
<div class="container-feature-detail__offset">
        <span class="bg-tab-detail-med"></span>
        <div class="pos-detail-tab-icon-text__offset">
            <div class="pos-tab-image ic-numeric"></div>
            <span class="text-title-tab">Age (years)</span>
        </div>
    <div class="pos-base-stats-in-detail">
        <div class="row-missing">
            <div class="text-label color-normal pos-base-stats__label">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
</div>

    <!-- BUTTONS -->
    <div class="pos-detail-num-buttons">
            <button class="button-bin" data-target="detail_graph-f3"
                data-new_class="detail_graph-f3-0">Auto </button>
            <button class="button-bin" data-target="detail_graph-f3"
                data-new_class="detail_graph-f3-5">5 </button>
            <button class="button-bin" data-target="detail_graph-f3"
                data-new_class="detail_graph-f3-15">15 </button>
            <button class="button-bin" data-target="detail_graph-f3"
                data-new_class="detail_graph-f3-30">30 </button>
    </div>

    <!-- GRAPH -->
    <span class="detail_graph-f3-0
        pos-detail-num-graph" id="detail_graph-f3"></span>

    <!-- ASSOCIATIONS -->
    <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f3">
        <span class="bg-extra-column"  <!-- expand if target in vertical layout -->
            ></span>
        <div class="container-detail-assoc">
            <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
            <div class="text-small-bold color-light" style="line-height: 10px">
                (PEARSON, -1 to 1)
            </div>
<!--             <div class="text-med-bold">Age (years)</div>
            <div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Weight (lbs)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.48</div>
                </div>
                <div class="assoc-row row-colored" style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Time to Adoption (weeks)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.44</div>
                </div>
            <br>
            <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
            <div class="text-small-bold color-light" style="line-height: 10px">
                (CORRELATION RATIO, 0 to 1)
            </div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Gender</div>
                    <div class="pos-assoc-row__source text-label color-source">0.38</div>
                </div>
                <div class="assoc-row row-colored" style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Species</div>
                    <div class="pos-assoc-row__source text-label color-source">0.24</div>
                </div>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Legs</div>
                    <div class="pos-assoc-row__source text-label color-source">0.16</div>
                </div>
                <div class="assoc-row row-colored" >
                    <div class="pos-assoc-row__label text-label">Fixed</div>
                    <div class="pos-assoc-row__source text-label color-source">0.02</div>
                </div>
        </div>
    </div>
    <!-- FREQUENT -->
    <div class="pos-detail-num-most">
        <span class="bg-extra-column"></span>
        <div class="container-detail-assoc">
            <div class="text-large-bold">MOST FREQUENT VALUES</div>
            <hr>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">8</div>
                        <div class="pos-detail-num-pair-pos__perc">25.8%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">5</div>
                        <div class="pos-detail-num-pair-pos__perc">16.1%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">5</div>
                        <div class="pos-detail-num-pair-pos__perc">16.1%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">2</div>
                        <div class="pos-detail-num-pair-pos__perc">6.5%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">16</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
        </div>
    </div>
    <!-- MINIMUM -->
    <div class="pos-detail-num-min">
        <span class="bg-extra-column"></span>
        <div class="container-detail-assoc">
            <div class="text-large-bold"> SMALLEST VALUES</div>
            <hr>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">5</div>
                        <div class="pos-detail-num-pair-pos__perc">16.1%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">5</div>
                        <div class="pos-detail-num-pair-pos__perc">16.1%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">8</div>
                        <div class="pos-detail-num-pair-pos__perc">25.8%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">2</div>
                        <div class="pos-detail-num-pair-pos__perc">6.5%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">16</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
        </div>
    </div>
    <!-- MAXIMUM -->
    <div class="pos-detail-num-max">
        <span class="bg-extra-column"></span>
        <div class="container-detail-assoc">
            <div class="text-large-bold">LARGEST VALUES</div>
            <hr>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">16</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">2</div>
                        <div class="pos-detail-num-pair-pos__perc">6.5%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">8</div>
                        <div class="pos-detail-num-pair-pos__perc">25.8%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">5</div>
                        <div class="pos-detail-num-pair-pos__perc">16.1%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">5</div>
                        <div class="pos-detail-num-pair-pos__perc">16.1%</div>
                    </div>
                </div>
        </div>
    </div>

</div>
</div>
                <div class="isHidden container-feature-detail"
     id="detail-f4">
<div class="container-feature-detail__offset">
        <span class="bg-tab-detail-med"></span>
        <div class="pos-detail-tab-icon-text__offset">
            <div class="pos-tab-image ic-cat"></div>
            <span class="text-title-tab">Fixed</span>
        </div>
    <div class="pos-base-stats-in-detail">
        <div class="row-missing">
            <div class="text-label color-normal pos-base-stats__label">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
</div>

    <span class="detail_graph-f4-
                pos-detail-cat-graph" id="detail_graph-f4"
    style="top: 75px;"></span>

    <div class="pos-detail-cat-breakdown " id="detail_breakdown-f4"
        style="top: 204.0px;"> <!-- height: 706.0px;"> WHY was this needed? Causes issue in vertical layout. -->
        <!-- HEADER ROW -->
        <div class="breakdown-row-header text-value" style="width:553px">
            <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
            <div class="breakdown-hr"><hr></div>
            <div class="pair__header color-source" style="left: 60px"></div>
            <!-- Targets -->
                <div class="pair__header color-compare" style="position: absolute; left: px">
                    <!--None-->
                </div>
        </div>

        <!-- ROW CONTENT -->
            <div class="breakdown-row text-value " style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">True</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 60px">
                    <div class="pair-pos__num dim">18</div>
                    <div class="pair-pos__perc">58%</div>
                </div>
                <!-- Targets -->
            </div>
            <div class="breakdown-row text-value row-colored" style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">False</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 60px">
                    <div class="pair-pos__num dim">13</div>
                    <div class="pair-pos__perc">42%</div>
                </div>
                <!-- Targets -->
            </div>
                <div class="breakdown-row text-value" style="width:553px">
                </div>
            <div class="breakdown-row text-value " style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 60px">
                    <div class="pair-pos__num dim">31</div>
                    <div class="pair-pos__perc">100%</div>
                </div>
                <!-- Targets -->
            </div>
        <div id="detail_cat_end-4"></div>
    </div>

    <!-- ASSOCIATIONS -->
    <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f4">
        <!-- no background for target in vertical mode -->
        <span class="bg-extra-column"></span>
        <div class="container-detail-assoc " id="cat-assoc-window-f4">
            <!-- CAT-CAT -->
            <div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
                CATEGORICAL ASSOCIATIONS<br>
                (UNCERTAINTY COEFFICIENT, 0 to 1)
            </div>
            <div class="text-large-bold" style="line-height: 104%;">Fixed<br>
            PROVIDES INFORMATION ON...</div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Legs<!----></div>
                    <div class="pos-assoc-row__source text-label color-source">0.16</div>
                </div>
                <div class="assoc-row row-colored" style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Gender<!----></div>
                    <div class="pos-assoc-row__source text-label color-source">0.14</div>
                </div>
                <div class="assoc-row " >
                    <div class="pos-assoc-row__label text-label">Species<!----></div>
                    <div class="pos-assoc-row__source text-label color-source">0.03</div>
                </div>
            <br>
            <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
            ON Fixed:</div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Gender</div>
                    <div class="pos-assoc-row__source text-label color-source">0.14</div>
                </div>
                <div class="assoc-row row-colored" >
                    <div class="pos-assoc-row__label text-label">Legs</div>
                    <div class="pos-assoc-row__source text-label color-source">0.07</div>
                </div>
                <div class="assoc-row " >
                    <div class="pos-assoc-row__label text-label">Species</div>
                    <div class="pos-assoc-row__source text-label color-source">0.05</div>
                </div>
            <br>
            <!-- CAT-NUM -->
            <div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
                NUMERICAL ASSOCIATIONS<br>
                (CORRELATION RATIO, 0 to 1)
            </div>
            <div class="text-large-bold" style="line-height: 104%;">Fixed<br>
                    CORRELATION RATIO WITH...</div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Weight (lbs)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.16</div>
                </div>
                <div class="assoc-row row-colored" >
                    <div class="pos-assoc-row__label text-label">Age (years)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.02</div>
                </div>
                <div class="assoc-row " >
                    <div class="pos-assoc-row__label text-label">Time to Adoption (weeks)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.02</div>
                </div>
        </div>
    </div>
</div>
</div>
                <div class="isHidden container-feature-detail"
     id="detail-f5">
<div class="container-feature-detail__offset">
        <span class="bg-tab-detail-med"></span>
        <div class="pos-detail-tab-icon-text__offset">
            <div class="pos-tab-image ic-cat"></div>
            <span class="text-title-tab">Legs</span>
        </div>
    <div class="pos-base-stats-in-detail">
        <div class="row-missing">
            <div class="text-label color-normal pos-base-stats__label">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
</div>

    <span class="detail_graph-f5-
                pos-detail-cat-graph" id="detail_graph-f5"
    style="top: 75px;"></span>

    <div class="pos-detail-cat-breakdown " id="detail_breakdown-f5"
        style="top: 264.0px;"> <!-- height: 646.0px;"> WHY was this needed? Causes issue in vertical layout. -->
        <!-- HEADER ROW -->
        <div class="breakdown-row-header text-value" style="width:553px">
            <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div>
            <div class="breakdown-hr"><hr></div>
            <div class="pair__header color-source" style="left: 48px"></div>
            <!-- Targets -->
                <div class="pair__header color-compare" style="position: absolute; left: px">
                    <!--None-->
                </div>
        </div>

        <!-- ROW CONTENT -->
            <div class="breakdown-row text-value " style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">4</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 48px">
                    <div class="pair-pos__num dim">29</div>
                    <div class="pair-pos__perc">94%</div>
                </div>
                <!-- Targets -->
            </div>
            <div class="breakdown-row text-value row-colored" style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">8</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 48px">
                    <div class="pair-pos__num dim">1</div>
                    <div class="pair-pos__perc">3%</div>
                </div>
                <!-- Targets -->
            </div>
            <div class="breakdown-row text-value " style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">3</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 48px">
                    <div class="pair-pos__num dim">1</div>
                    <div class="pair-pos__perc">3%</div>
                </div>
                <!-- Targets -->
            </div>
                <div class="breakdown-row text-value" style="width:553px">
                </div>
            <div class="breakdown-row text-value row-colored" style="width:553px">
                <!-- Name -->
                <div class="text-label color-normal " style="position: absolute; left:10px;
                width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div>

                <!-- Freq -->
                <div class="pair__col color-source" style="left: 48px">
                    <div class="pair-pos__num dim">31</div>
                    <div class="pair-pos__perc">100%</div>
                </div>
                <!-- Targets -->
            </div>
        <div id="detail_cat_end-5"></div>
    </div>

    <!-- ASSOCIATIONS -->
    <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f5">
        <!-- no background for target in vertical mode -->
        <span class="bg-extra-column"></span>
        <div class="container-detail-assoc " id="cat-assoc-window-f5">
            <!-- CAT-CAT -->
            <div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
                CATEGORICAL ASSOCIATIONS<br>
                (UNCERTAINTY COEFFICIENT, 0 to 1)
            </div>
            <div class="text-large-bold" style="line-height: 104%;">Legs<br>
            PROVIDES INFORMATION ON...</div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Species<!----></div>
                    <div class="pos-assoc-row__source text-label color-source">0.14</div>
                </div>
                <div class="assoc-row row-colored" >
                    <div class="pos-assoc-row__label text-label">Fixed<!----></div>
                    <div class="pos-assoc-row__source text-label color-source">0.07</div>
                </div>
                <div class="assoc-row " >
                    <div class="pos-assoc-row__label text-label">Gender<!----></div>
                    <div class="pos-assoc-row__source text-label color-source">0.06</div>
                </div>
            <br>
            <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br>
            ON Legs:</div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Species</div>
                    <div class="pos-assoc-row__source text-label color-source">0.58</div>
                </div>
                <div class="assoc-row row-colored" style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Fixed</div>
                    <div class="pos-assoc-row__source text-label color-source">0.16</div>
                </div>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Gender</div>
                    <div class="pos-assoc-row__source text-label color-source">0.16</div>
                </div>
            <br>
            <!-- CAT-NUM -->
            <div class="text-small-bold color-light" style="text-align:right; line-height: 10px">
                NUMERICAL ASSOCIATIONS<br>
                (CORRELATION RATIO, 0 to 1)
            </div>
            <div class="text-large-bold" style="line-height: 104%;">Legs<br>
                    CORRELATION RATIO WITH...</div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Time to Adoption (weeks)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.17</div>
                </div>
                <div class="assoc-row row-colored" style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Weight (lbs)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.16</div>
                </div>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Age (years)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.16</div>
                </div>
        </div>
    </div>
</div>
</div>
                <div class="isHidden container-feature-detail"
    id="detail-f6" >
<div class="container-feature-detail__offset">
        <span class="bg-tab-detail-med"></span>
        <div class="pos-detail-tab-icon-text__offset">
            <div class="pos-tab-image ic-numeric"></div>
            <span class="text-title-tab">Weight (lbs)</span>
        </div>
    <div class="pos-base-stats-in-detail">
        <div class="row-missing">
            <div class="text-label color-normal pos-base-stats__label">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
</div>

    <!-- BUTTONS -->
    <div class="pos-detail-num-buttons">
            <button class="button-bin" data-target="detail_graph-f6"
                data-new_class="detail_graph-f6-0">Auto </button>
            <button class="button-bin" data-target="detail_graph-f6"
                data-new_class="detail_graph-f6-5">5 </button>
            <button class="button-bin" data-target="detail_graph-f6"
                data-new_class="detail_graph-f6-15">15 </button>
            <button class="button-bin" data-target="detail_graph-f6"
                data-new_class="detail_graph-f6-30">30 </button>
    </div>

    <!-- GRAPH -->
    <span class="detail_graph-f6-0
        pos-detail-num-graph" id="detail_graph-f6"></span>

    <!-- ASSOCIATIONS -->
    <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f6">
        <span class="bg-extra-column"  <!-- expand if target in vertical layout -->
            ></span>
        <div class="container-detail-assoc">
            <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
            <div class="text-small-bold color-light" style="line-height: 10px">
                (PEARSON, -1 to 1)
            </div>
<!--             <div class="text-med-bold">Weight (lbs)</div>
            <div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Time to Adoption (weeks)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.65</div>
                </div>
                <div class="assoc-row row-colored" style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Age (years)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.48</div>
                </div>
            <br>
            <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
            <div class="text-small-bold color-light" style="line-height: 10px">
                (CORRELATION RATIO, 0 to 1)
            </div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Species</div>
                    <div class="pos-assoc-row__source text-label color-source">0.77</div>
                </div>
                <div class="assoc-row row-colored" style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Gender</div>
                    <div class="pos-assoc-row__source text-label color-source">0.30</div>
                </div>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Fixed</div>
                    <div class="pos-assoc-row__source text-label color-source">0.16</div>
                </div>
                <div class="assoc-row row-colored" style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Legs</div>
                    <div class="pos-assoc-row__source text-label color-source">0.16</div>
                </div>
        </div>
    </div>
    <!-- FREQUENT -->
    <div class="pos-detail-num-most">
        <span class="bg-extra-column"></span>
        <div class="container-detail-assoc">
            <div class="text-large-bold">MOST FREQUENT VALUES</div>
            <hr>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.5</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">2</div>
                        <div class="pos-detail-num-pair-pos__perc">6.5%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">48.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">123.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">92.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">112.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">88.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">161.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">172.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.5</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">68.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.7</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">8.4</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
        </div>
    </div>
    <!-- MINIMUM -->
    <div class="pos-detail-num-min">
        <span class="bg-extra-column"></span>
        <div class="container-detail-assoc">
            <div class="text-large-bold"> SMALLEST VALUES</div>
            <hr>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.2</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.7</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.1</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.2</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.5</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.3</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.5</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">2</div>
                        <div class="pos-detail-num-pair-pos__perc">6.5%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.4</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">8.1</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">8.4</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">8.8</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">9.2</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.4</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
        </div>
    </div>
    <!-- MAXIMUM -->
    <div class="pos-detail-num-max">
        <span class="bg-extra-column"></span>
        <div class="container-detail-assoc">
            <div class="text-large-bold">LARGEST VALUES</div>
            <hr>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">172.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">161.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">123.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">112.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">92.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">88.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">76.1</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">68.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">52.8</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">51.6</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">48.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">45.4</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">35.3</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">28.9</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
        </div>
    </div>

</div>
</div>
                <div class="isHidden container-feature-detail"
    id="detail-f7" >
<div class="container-feature-detail__offset">
        <span class="bg-tab-detail-med"></span>
        <div class="pos-detail-tab-icon-text__offset">
            <div class="pos-tab-image ic-numeric"></div>
            <span class="text-title-tab">Time to Adoption (weeks)</span>
        </div>
    <div class="pos-base-stats-in-detail">
        <div class="row-missing">
            <div class="text-label color-normal pos-base-stats__label">MISSING:</div>
            <div class="text-value color-source pos-base-stats__source">
                    ---
            </div>
            <div class="text-value color-source pos-base-stats__source-perc" >

            </div>
        </div>
</div>

    <!-- BUTTONS -->
    <div class="pos-detail-num-buttons">
            <button class="button-bin" data-target="detail_graph-f7"
                data-new_class="detail_graph-f7-0">Auto </button>
            <button class="button-bin" data-target="detail_graph-f7"
                data-new_class="detail_graph-f7-5">5 </button>
            <button class="button-bin" data-target="detail_graph-f7"
                data-new_class="detail_graph-f7-15">15 </button>
            <button class="button-bin" data-target="detail_graph-f7"
                data-new_class="detail_graph-f7-30">30 </button>
    </div>

    <!-- GRAPH -->
    <span class="detail_graph-f7-0
        pos-detail-num-graph" id="detail_graph-f7"></span>

    <!-- ASSOCIATIONS -->
    <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f7">
        <span class="bg-extra-column"  <!-- expand if target in vertical layout -->
            ></span>
        <div class="container-detail-assoc">
            <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div>
            <div class="text-small-bold color-light" style="line-height: 10px">
                (PEARSON, -1 to 1)
            </div>
<!--             <div class="text-med-bold">Time to Adoption (weeks)</div>
            <div class="text-large-bold">CORRELATION RATIO WITH...</div>
-->
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Weight (lbs)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.65</div>
                </div>
                <div class="assoc-row row-colored" style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Age (years)</div>
                    <div class="pos-assoc-row__source text-label color-source">0.44</div>
                </div>
            <br>
            <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div>
            <div class="text-small-bold color-light" style="line-height: 10px">
                (CORRELATION RATIO, 0 to 1)
            </div>
            <hr>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Species</div>
                    <div class="pos-assoc-row__source text-label color-source">0.40</div>
                </div>
                <div class="assoc-row row-colored" style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Gender</div>
                    <div class="pos-assoc-row__source text-label color-source">0.31</div>
                </div>
                <div class="assoc-row " style="font-weight: bold;">
                    <div class="pos-assoc-row__label text-label">Legs</div>
                    <div class="pos-assoc-row__source text-label color-source">0.17</div>
                </div>
                <div class="assoc-row row-colored" >
                    <div class="pos-assoc-row__label text-label">Fixed</div>
                    <div class="pos-assoc-row__source text-label color-source">0.02</div>
                </div>
        </div>
    </div>
    <!-- FREQUENT -->
    <div class="pos-detail-num-most">
        <span class="bg-extra-column"></span>
        <div class="container-detail-assoc">
            <div class="text-large-bold">MOST FREQUENT VALUES</div>
            <hr>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">5</div>
                        <div class="pos-detail-num-pair-pos__perc">16.1%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">5</div>
                        <div class="pos-detail-num-pair-pos__perc">16.1%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">4</div>
                        <div class="pos-detail-num-pair-pos__perc">12.9%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">2</div>
                        <div class="pos-detail-num-pair-pos__perc">6.5%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">30</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">24</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
        </div>
    </div>
    <!-- MINIMUM -->
    <div class="pos-detail-num-min">
        <span class="bg-extra-column"></span>
        <div class="container-detail-assoc">
            <div class="text-large-bold"> SMALLEST VALUES</div>
            <hr>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">5</div>
                        <div class="pos-detail-num-pair-pos__perc">16.1%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">5</div>
                        <div class="pos-detail-num-pair-pos__perc">16.1%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">4</div>
                        <div class="pos-detail-num-pair-pos__perc">12.9%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">2</div>
                        <div class="pos-detail-num-pair-pos__perc">6.5%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">24</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">30</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
        </div>
    </div>
    <!-- MAXIMUM -->
    <div class="pos-detail-num-max">
        <span class="bg-extra-column"></span>
        <div class="container-detail-assoc">
            <div class="text-large-bold">LARGEST VALUES</div>
            <hr>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">30</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">24</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">1</div>
                        <div class="pos-detail-num-pair-pos__perc">3.2%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">2</div>
                        <div class="pos-detail-num-pair-pos__perc">6.5%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">4</div>
                        <div class="pos-detail-num-pair-pos__perc">12.9%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">5</div>
                        <div class="pos-detail-num-pair-pos__perc">16.1%</div>
                    </div>
                </div>
                <div class="assoc-row row-colored">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">3</div>
                        <div class="pos-detail-num-pair-pos__perc">9.7%</div>
                    </div>
                </div>
                <div class="assoc-row ">
                    <div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div>
                    <div class="pos-detail-num-source-pair color-source text-value">
                        <div class="pos-detail-num-pair-pos__num dim">5</div>
                        <div class="pos-detail-num-pair-pos__perc">16.1%</div>
                    </div>
                </div>
        </div>
    </div>

</div>
</div>
        </div>
</div>
</body>
</html>
	try:
	import sweetviz
	except:
	!pip install sweetviz --user
	import sweetviz
	import pandas as pd
	df = pd.read_csv('https://raw.githubusercontent.com/callysto/hackathon/f7454f5d9234df2575ceb7b8983340e512fad24d/SustainabilityOnMars/Tutorials/pets_from_bootstrap_world.csv')
	analysis = sweetviz.analyze(df)
	analysis.show_notebook() # or export with show_html()