Tarek Dib TarekDib03

## gist:4c84b0835b92cb748e1e
https://gist.github.com/2090021

## gist:c39d646402614e11486f
df <- sqldf("SELECT *
        FROM distributed, visited

        WHERE
            distributed.husband == visited.Name
        OR
            distributed.wife == visited.Name")

## gist:b9e6cf7f3b33f3b4ad72
df <- sqldf("SELECT *
        FROM distributed, visited

        WHERE
            distributed.husband == visited.Name
        OR
            distributed.wife == visited.Name")

## gist:a9181a4ed8f429dd4626
df <- sqldf("SELECT *
        FROM distributed, visited

        WHERE
            distributed.husband == visited.Name
        OR
            distributed.wife == visited.Name")

## index.html
<!doctype HTML>
<meta charset = 'utf-8'>
<html>
  <head>

    <script src='http://ramnathv.github.io/rCharts/libraries/widgets/polycharts/js/polychart2.standalone.js' type='text/javascript'></script>

    <style>
    .rChart {
      display: block;

## gist:91419d9bc4a24f0926dc
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Libraries"
   ]
  },
  {

## gist:62c22d427d6ae08efec2
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Libraries"
   ]
  },
  {

## Wide-to-Long-formatted-Data-Set.ipynp
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import pandas and read the data set. Use dropna() to drop NaN values. Then reset the index\n",
    "import pandas as pd\n",

## Wide-to-Long-formatted-Data-Set.ipynp
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import pandas and read the data set. Use dropna() to drop NaN values. Then reset the index\n",
    "import pandas as pd\n",

## Wide-to-Long-formatted-Data-Set.ipynb

      
        
          
            
              
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                TarekDib03
                / Wide-to-Long-formatted-Data-Set.ipynb
            
            
              Created
              January 26, 2021 22:53
            
          
        
      
        
  
    
    

          
    
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	df <- sqldf("SELECT *
	FROM distributed, visited

	WHERE
	distributed.husband == visited.Name
	OR
	distributed.wife == visited.Name")
	<!doctype HTML>
	<meta charset = 'utf-8'>
	<html>
	<head>

	<script src='http://ramnathv.github.io/rCharts/libraries/widgets/polycharts/js/polychart2.standalone.js' type='text/javascript'></script>

	<style>
	.rChart {
	display: block;
	{
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"## Import Libraries"
	]
	},
	{
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 60,
	"metadata": {},
	"outputs": [],
	"source": [
	"# Import pandas and read the data set. Use dropna() to drop NaN values. Then reset the index\n",
	"import pandas as pd\n",