Michelle Wetzler wetzler
wetzler
/ gist:8739951
Created
January 31, 2014 18:46
workaround for saved queries drawing weirdness
View gist:8739951
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| var query = new Keen.SavedQuery("activity_09_2013"); | |
| query.getResponse(function(response){ | |
| console.log(response.result); | |
| // Call Michelle's gross function | |
| drawMyLineChart(response, "daily", div , title) | |
| }); | |
| function drawMyLineChart(response, interval, div, title) { |
wetzler
/ gist:8986843
Last active
August 29, 2015 13:56
How to get the total amount refunded in Stripe using Keen IO
View gist:8986843
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| Keen.onChartsReady(function() { | |
| var metric = new Keen.Metric("Stripe_Events", { | |
| analysisType: "sum", | |
| targetProperty: "data.object.amount_refunded", | |
| filters: [{"property_name":"type","operator":"eq","property_value":"charge.refunded"}] | |
| }); | |
| metric.draw(document.getElementById("someDiv")); | |
| }); |
wetzler
/ gist:9127225
Last active
August 29, 2015 13:56
Divide to series queries (line charts) from Keen IO and chart the resulting line chart.
View gist:9127225
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| Keen.onChartsReady(function() { | |
| var totalRevenueSeries = new Keen.Series("transactions", { | |
| analysisType: "sum", | |
| timeframe: "last_30_days", | |
| interval: "daily", | |
| targetProperty: "amount" | |
| }); | |
| var totalActiveUsersSeries = new Keen.Series("plays", { |
wetzler
/ gist:9241017
Created
February 26, 2014 23:29
This gist shows you how to make a custom Keen IO funnel query using raw counts for each step (no actor property required)
View gist:9241017
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| Keen.onChartsReady(function(){ | |
| var visitors = new Keen.Metric("visited_form", { | |
| analysisType: "count" | |
| }); | |
| var formsStarted = new Keen.Metric("form_started", { | |
| analysisType: "count" | |
| }); |
wetzler
/ gist:9697727
Last active
August 29, 2015 13:57
Sample code for a simple dashboard that takes in a timeframe from a query string parameter. Allows viewer to easily modify the time period for all charts in the dashboard. Also shows the formula to see "Page Viewed Before Page X"!
View gist:9697727
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| <!DOCTYPE html> | |
| <html lang='en'> | |
| <head> | |
| <script> | |
| var Keen=Keen||{configure:function(e){this._cf=e},addEvent:function(e,t,n,i){this._eq=this._eq||[],this._eq.push([e,t,n,i])},setGlobalProperties:function(e){this._gp=e},onChartsReady:function(e){this._ocrq=this._ocrq||[],this._ocrq.push(e)}};(function(){var e=document.createElement("script");e.type="text/javascript",e.async=!0,e.src=("https:"==document.location.protocol?"https://":"http://")+"dc8na2hxrj29i.cloudfront.net/code/keen-2.1.0-min.js";var t=document.getElementsByTagName("script")[0];t.parentNode.insertBefore(e,t)})(); | |
| // Configure the Keen Client | |
| Keen.configure({ | |
| projectId: "<your project ID>", |
wetzler
/ gist:11159633
Last active
August 29, 2015 14:00
Analyze retention by finding the percentage of users who started your game X days ago that are actively playing it today. Calculating that percentage over time in a line chart so you can see how your retention is increasing or decreasing. For example, in "D1" retention you’d measure what percentage of users come back and play the game 1 day afte…
View gist:11159633
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| var Keen=Keen||{configure:function(e){this._cf=e},addEvent:function(e,t,n,i){this._eq=this._eq||[],this._eq.push([e,t,n,i])},setGlobalProperties:function(e){this._gp=e},onChartsReady:function(e){this._ocrq=this._ocrq||[],this._ocrq.push(e)}};(function(){var e=document.createElement("script");e.type="text/javascript",e.async=!0,e.src=("https:"==document.location.protocol?"https://":"http://")+"dc8na2hxrj29i.cloudfront.net/code/keen-2.1.0.js";var t=document.getElementsByTagName("script")[0];t.parentNode.insertBefore(e,t)})(); | |
| Keen.configure({ // configure the Keen Client | |
| projectId: projectId, | |
| readKey: readKey | |
| }); | |
| Keen.onChartsReady(function() { | |
| var daysInChart = 30 |
wetzler
/ gist:11160314
Created
April 21, 2014 23:40
Divide two Keen IO series line charts to create new line chart. For example ARPDAU or other average or computed values.
View gist:11160314
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| <script> | |
| var Keen=Keen||{configure:function(e){this._cf=e},addEvent:function(e,t,n,i){this._eq=this._eq||[],this._eq.push([e,t,n,i])},setGlobalProperties:function(e){this._gp=e},onChartsReady:function(e){this._ocrq=this._ocrq||[],this._ocrq.push(e)}};(function(){var e=document.createElement("script");e.type="text/javascript",e.async=!0,e.src=("https:"==document.location.protocol?"https://":"http://")+"dc8na2hxrj29i.cloudfront.net/code/keen-2.1.0.js";var t=document.getElementsByTagName("script")[0];t.parentNode.insertBefore(e,t)})(); | |
| var projectId = "<project_id>"; | |
| var readKey = "<project_key>"; | |
| // make sure Keen IO environment variables are set | |
| if (projectId != "" && readKey != "") { | |
| // configure the global Keen Client | |
| Keen.configure({ |
View gist:11160518
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| <!DOCTYPE html> | |
| <html lang='en'> | |
| <head> | |
| <script> | |
| var Keen=Keen||{configure:function(e){this._cf=e},addEvent:function(e,t,n,i){this._eq=this._eq||[],this._eq.push([e,t,n,i])},setGlobalProperties:function(e){this._gp=e},onChartsReady:function(e){this._ocrq=this._ocrq||[],this._ocrq.push(e)}};(function(){var e=document.createElement("script");e.type="text/javascript",e.async=!0,e.src=("https:"==document.location.protocol?"https://":"http://")+"dc8na2hxrj29i.cloudfront.net/code/keen-2.1.0-min.js";var t=document.getElementsByTagName("script")[0];t.parentNode.insertBefore(e,t)})(); | |
| // Configure the Keen Client | |
| Keen.configure({ | |
| projectId: "<your project ID>", | |
| readKey: "<your read key>" |
wetzler
/ gist:19465e0e283e0f25d605
Created
May 27, 2014 21:53
This gist uses Keen IO conversion funnels to generate a line chart showing conversion over time. In this example we'll chart the number of video viewing sessions that make it past the 50% mark in the video.
View gist:19465e0e283e0f25d605
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| Keen.onChartsReady(function() { | |
| var dataPointsInChart = 7 // Number of days in your line chart | |
| calculateConversionTrend(dataPointsInChart, "conversionLineChart") | |
| function calculateConversionTrend(dataPointsInChart, div) { | |
| var dataForLineChart = [] | |
| var i = 0 | |
| while (i < dataPointsInChart) { |
wetzler
/ gist:f1dc8fe3cf0270fc9d34
Created
May 27, 2014 23:35
This gist uses Keen IO conversion funnels to generate a line chart showing conversion over time. In this example we'll chart the number of video viewing sessions that make it past the 25%, 50%, 75%, and 100% mark in the video. The end result is a multiline chart with one line for each view marker (25%, 50%, 75%, 100%). This chart helps you answe…
View gist:f1dc8fe3cf0270fc9d34
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| Keen.onChartsReady(function(){ | |
| var dataPointsInChart = 7 // Number of days in your line chart | |
| calculateConversionTrend(dataPointsInChart, "conversionLineChart") | |
| function calculateConversionTrend(dataPointsInChart, div) { | |
| var dataForLineChart = [] | |
| var i = 0 | |
| while (i < dataPointsInChart) { |
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