https://wiki.measure.chat/api.php?action=feedcontributions&user=Mikorotkov&feedformat=atomMeasure Chat Wiki - User contributions [en]2024-03-29T07:18:43ZUser contributionsMediaWiki 1.34.1https://wiki.measure.chat/index.php?title=Analytics_Library&diff=256Analytics Library2018-11-30T14:31:54Z<p>Mikorotkov: Added link to article</p>
<hr />
<div>Analytics professionals can find useful techniques, inspiration, frameworks, and thought provoking ideas in these sources (includes Actual Books, podcasts, videos, blog posts, and other ephemera):<br />
<br />
<br />
== Books ==<br />
[https://www.amazon.com/Turning-Numbers-into-Knowledge-Mastering/dp/1938377060/| Turning Numbers into Knowledge - Mastering the art of of Problem Solving] by Jonathan Garo Koomey (Author), John P Holdren (Foreword), October 1, 2017<br />
<br />
[http://leananalyticsbook.com|Lean Analytics: Use Data to Build a Better Startup Faster] by Alistair Croll, Benjamin Yoskovitz, March 2013<br />
<br />
[https://www.amazon.com/Information-Dashboard-Design-Effective-Communication/dp/0596100167| Information Dashboard Design] by Stephen Few<br />
<br />
[https://www.amazon.com/Statistics-Plain-English-Fourth-1/dp/1138838349/ref=sr_1_1 Statistics in Plain English] by Timothy C. Urdan<br />
<br />
[https://www.cia.gov/library/center-for-the-study-of-intelligence/csi-publications/books-and-monographs/psychology-of-intelligence-analysis/PsychofIntelNew.pdf| Psychology of Intelligence Analysis] by by Richards J. Heuer<br />
<br />
[http://www.webanalyticsdemystified.com/downloads/The_Big_Book_of_Key_Performance_Indicators_by_Eric_Peterson.pdf The Big Book of Key Performance Indicators] by Eric T. Peterson.<br />
<br />
== Podcasts ==<br />
[https://www.brianlpoe.com/podcast/ The Digital Measure Show] <br />
<br />
[http://www.analyticshour.io/ Digital Analytics Power Hour] <br />
<br />
[https://www.blubrry.com/numetric_podcast/ The 10 Minute Business Analytics Podcast]<br />
<br />
[http://allanalytics.libsyn.com/ The All Analytics Podcast]<br />
<br />
[https://itunes.apple.com/us/podcast/analyticstoday-podcast/id1044308732 Analytics Today Podcast]<br />
<br />
[http://datastori.es/ Data stories]<br />
<br />
[https://www.drilltodetail.com/ Drill to detail]<br />
<br />
[http://lineardigressions.com/ Linear Digressions] - "a podcast about machine learning and data science"<br />
<br />
[http://nssdeviations.com/ Not so Standard Deviations] - "the latest in data science and data analysis in academia and industry"<br />
<br />
[https://dataskeptic.com/ Data Skeptic]<br />
<br />
[http://partiallyderivative.com/ Partially derivative] - "data, data science and general geekery"<br />
<br />
[https://www.oreilly.com/topics/oreilly-data-show-podcast/ Oreilly Data Show] - "opportunities and techniques driving big data, data science, and AI"<br />
<br />
[https://www.datacamp.com/community/podcast/ DataCamp podcast] - "industry and academic experts exploring the inner workings of the data industry"<br />
<br />
== Video Tutorials ==<br />
<br />
[https://www.youtube.com/channel/UClgihdkPzNDtuoQy4xDw5mA/videos?flow=grid&view=0&sort=p MeasureSchool Tutorials - Google tools]<br />
<br />
[https://www.youtube.com/channel/UCCH6Q0HdjUan-fdzRBQPCNA/videos?flow=grid&sort=p&view=0 Weboq Tutorials - Google tools]<br />
<br />
[https://www.linkedin.com/learning/advanced-google-analytics/ Advanced Google Analytics (Paid Course)]<br />
<br />
[https://adobe.ly/adobeanalyticsyoutube/ Adobe Analytics Official YouTube Channel]<br />
<br />
== Blogs ==<br />
[https://www.simoahava.com/ Simo Ahava's Blog about GTM] <br />
<br />
[https://www.lunametrics.com/blog/ LunaMetrics Blog]<br />
<br />
[https://www.kaushik.net/avinash/ Occam's razor by Avinash Kaushik]<br />
<br />
[https://analytics-feed.com/ Analytics Feed] Analytics-feed.com collects analytics news into a single feed from all over the Internets, so that anyone who's interested in analytics can follow analytics news in one place<br />
<br />
== Tools ==<br />
[[Google Analytics]]<br />
<br />
[[Google Tag Manager]]<br />
<br />
[[Adobe analytics]]<br />
<br />
[[Adobe DTM]]<br />
<br />
[https://www.davinci.tools/ Da Vinci Tools by Stéphane Hamel] Chrome extension - Google Analytics Power Tools<br />
<br />
[https://www.simoahava.com/tools/gtm-tools-by-simo-ahava/ GTM Tools by Simo Ahava] Google Sheets add-on<br />
<br />
[https://chrome.google.com/webstore/detail/launch-and-dtm-switch/nlgdemkdapolikbjimjajpmonpbpmipk Launch and DTM Switch] Chrome Extension</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Google_Data_Studio&diff=127Google Data Studio2018-07-05T11:22:45Z<p>Mikorotkov: Added general description and resources</p>
<hr />
<div>Everything related to Google Data Studio can be found here<br />
<br />
== Useful Resources ==<br />
[https://datastudio.google.com/u/0/reporting/0B2lgFyX5qOqhbFE5RllsdFdtMXc/page/0DlG Google Data Studio Resources - Helpfullee] Collection of blog articles, templates and other resources</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Data_Visualization&diff=126Data Visualization2018-07-05T11:03:10Z<p>Mikorotkov: Added link to a page</p>
<hr />
<div>Pie charts, pie charts, and more pie charts. Everything related to data visualization can be found here: useful techniques, inspiration, frameworks, and thought provoking ideas.<br />
<br />
<br />
== Books==<br />
<br />
== Podcasts ==<br />
[http://leapica.com/podcast/| The Present Beyond Measure® Show] by Lea Pica<br />
<br />
== Video Tutorials ==<br />
<br />
== Blogs ==<br />
[http://flowingdata.com/| Flowingdata] - A lot of good examples of visualization for inspiration<br />
<br />
[https://www.gapminder.org/| Gapminder] - Visualization with charts and physical objects<br />
<br />
[http://www.storytellingwithdata.com/ Storytelling with data]<br />
== Articles ==<br />
[https://towardsdatascience.com/5-data-storytelling-tips-for-creating-more-persuasive-charts-and-graphs-150f3544b4e8| 5 Data Storytelling Tips for Creating More Persuasive Charts and Graphs]<br />
<br />
[https://moz.com/blog/impactful-data-storytelling| PICA Protocol: A Visualization Prescription for Impactful Data Storytelling] - Whiteboard Friday episode summarizing the PICA Protocol by Lea Pica (Video)<br />
<br />
[http://www.stephenlevin.co/advanced-analytics-part-3-data-visualization/ Business Intelligence and Data Visualization tools compared] - Comparison of Tableau, Looker, Mode Analytics, Periscope and Chart.io by Stephen Levin<br />
<br />
== Tools ==<br />
[[Colors]]<br />
<br />
[[Google Data Studio]]</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Data_Visualization&diff=125Data Visualization2018-06-29T10:10:15Z<p>Mikorotkov: Added link to article</p>
<hr />
<div>Pie charts, pie charts, and more pie charts. Everything related to data visualization can be found here: useful techniques, inspiration, frameworks, and thought provoking ideas.<br />
<br />
<br />
== Books==<br />
<br />
== Podcasts ==<br />
[http://leapica.com/podcast/| The Present Beyond Measure® Show] by Lea Pica<br />
<br />
== Video Tutorials ==<br />
<br />
== Blogs ==<br />
[http://flowingdata.com/| Flowingdata] - A lot of good examples of visualization for inspiration<br />
<br />
[https://www.gapminder.org/| Gapminder] - Visualization with charts and physical objects<br />
<br />
[http://www.storytellingwithdata.com/ Storytelling with data]<br />
== Articles ==<br />
[https://towardsdatascience.com/5-data-storytelling-tips-for-creating-more-persuasive-charts-and-graphs-150f3544b4e8| 5 Data Storytelling Tips for Creating More Persuasive Charts and Graphs]<br />
<br />
[https://moz.com/blog/impactful-data-storytelling| PICA Protocol: A Visualization Prescription for Impactful Data Storytelling] - Whiteboard Friday episode summarizing the PICA Protocol by Lea Pica (Video)<br />
<br />
[http://www.stephenlevin.co/advanced-analytics-part-3-data-visualization/ Business Intelligence and Data Visualization tools compared] - Comparison of Tableau, Looker, Mode Analytics, Periscope and Chart.io by Stephen Levin<br />
<br />
== Tools ==<br />
[[Colors]]</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=BI-Tools&diff=124BI-Tools2018-06-07T07:47:18Z<p>Mikorotkov: Undo revision 123 by Mikorotkov (talk)</p>
<hr />
<div>If it is about Tableau and other BI tools (Cognos, Microstrategy, Pentaho, Domo, Qlikview, Power BI) it lives here.<br />
<br />
<br />
== Power BI ==<br />
=== Video Tutorials ===<br />
[https://www.edx.org/course/analyzing-and-visualizing-data-with-power-bi Analyzing and Visualizing Data with Power BI] - The eDX course is free and good as a first overview, but doesn't go in-depth on DAX or M.<br />
<br />
[http://enterprisedna.co/ EnterpriseDNA] - have a good/great YouTube channel for specific examples but also have a Complete Beginners training for Power BI and one for DAX which are good groundings and free.<br />
<br />
=== Books ===<br />
<br />
[https://www.sqlbi.com/books/the-definitive-guide-to-dax/ The Definitive Guide to DAX (Business intelligence with Microsoft Excel, SQL Server Analysis Services, and Power BI)] by Marco Russo and Alberto Ferrari<br />
<br />
[https://www.amazon.com/Power-Pivot-BI-Excel-2010-2016/dp/1615470395 PowerPivot and PowerBI The Excel Users Guide to DAX] by Rob Collie and Avichal Singh<br />
<br />
[https://www.amazon.com/Data-Monkey-Guide-Language-Excel/dp/1615470344 M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query] by Ken Puls and Miguel Escobar<br />
<br />
[https://www.goodreads.com/book/show/17707018-powerpivot-alchemy PowerPivot Alchemy: Patterns and Techniques for Excel] by Bill Jellen and Rob Collie<br />
<br />
=== Blogs ===<br />
<br />
[https://powerpivotpro.com/ powerpivotpro] - a general go to source. You tend to find a lot of the other industry experts contribute or help out in the comments.<br />
<br />
[https://www.sqlbi.com/ sqlbi] - Marco Russo and Alberto Ferrari covering DAX/SSAS/MDX<br />
<br />
[https://www.excelguru.ca/blog/ Excelguru] - blog by Ken Puls (M and Excel related topics)<br />
<br />
[https://www.kasperonbi.com/ Kasper on BI] - All about BI, Modelling, DAX and MS BI by Kasper de Jonge<br />
<br />
== Tableau ==</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=BI-Tools&diff=123BI-Tools2018-06-07T07:46:42Z<p>Mikorotkov: </p>
<hr />
<div>If it is about Tableau and other BI tools (Cognos, Microstrategy, Pentaho, Domo, Qlikview, Power BI) it lives here.<br />
<br />
<br />
== Power BI ==<br />
=== Video Tutorials ===<br />
[https://www.edx.org/course/analyzing-and-visualizing-data-with-power-bi Analyzing and Visualizing Data with Power BI] - The eDX course is free and good as a first overview, but doesn't go in-depth on DAX or M.<br />
<br />
[http://enterprisedna.co/ EnterpriseDNA] - have a good/great YouTube channel for specific examples but also have a Complete Beginners training for Power BI and one for DAX which are good groundings and free. <ref> Suggested by Tim Stewart, [http://www.trsdigital.com/] </ref><br />
<br />
=== Books ===<br />
<br />
[https://www.sqlbi.com/books/the-definitive-guide-to-dax/ The Definitive Guide to DAX (Business intelligence with Microsoft Excel, SQL Server Analysis Services, and Power BI)] by Marco Russo and Alberto Ferrari<br />
<br />
[https://www.amazon.com/Power-Pivot-BI-Excel-2010-2016/dp/1615470395 PowerPivot and PowerBI The Excel Users Guide to DAX] by Rob Collie and Avichal Singh<br />
<br />
[https://www.amazon.com/Data-Monkey-Guide-Language-Excel/dp/1615470344 M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query] by Ken Puls and Miguel Escobar<br />
<br />
[https://www.goodreads.com/book/show/17707018-powerpivot-alchemy PowerPivot Alchemy: Patterns and Techniques for Excel] by Bill Jellen and Rob Collie<br />
<br />
=== Blogs ===<br />
<br />
[https://powerpivotpro.com/ powerpivotpro] - a general go to source. You tend to find a lot of the other industry experts contribute or help out in the comments.<br />
<br />
[https://www.sqlbi.com/ sqlbi] - Marco Russo and Alberto Ferrari covering DAX/SSAS/MDX<br />
<br />
[https://www.excelguru.ca/blog/ Excelguru] - blog by Ken Puls (M and Excel related topics)<br />
<br />
[https://www.kasperonbi.com/ Kasper on BI] - All about BI, Modelling, DAX and MS BI by Kasper de Jonge<br />
<br />
== Tableau ==</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=BI-Tools&diff=122BI-Tools2018-06-07T07:43:40Z<p>Mikorotkov: Created BI tools page and Power BI section</p>
<hr />
<div>If it is about Tableau and other BI tools (Cognos, Microstrategy, Pentaho, Domo, Qlikview, Power BI) it lives here.<br />
<br />
<br />
== Power BI ==<br />
=== Video Tutorials ===<br />
[https://www.edx.org/course/analyzing-and-visualizing-data-with-power-bi Analyzing and Visualizing Data with Power BI] - The eDX course is free and good as a first overview, but doesn't go in-depth on DAX or M.<br />
<br />
[http://enterprisedna.co/ EnterpriseDNA] - have a good/great YouTube channel for specific examples but also have a Complete Beginners training for Power BI and one for DAX which are good groundings and free.<br />
<br />
=== Books ===<br />
<br />
[https://www.sqlbi.com/books/the-definitive-guide-to-dax/ The Definitive Guide to DAX (Business intelligence with Microsoft Excel, SQL Server Analysis Services, and Power BI)] by Marco Russo and Alberto Ferrari<br />
<br />
[https://www.amazon.com/Power-Pivot-BI-Excel-2010-2016/dp/1615470395 PowerPivot and PowerBI The Excel Users Guide to DAX] by Rob Collie and Avichal Singh<br />
<br />
[https://www.amazon.com/Data-Monkey-Guide-Language-Excel/dp/1615470344 M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query] by Ken Puls and Miguel Escobar<br />
<br />
[https://www.goodreads.com/book/show/17707018-powerpivot-alchemy PowerPivot Alchemy: Patterns and Techniques for Excel] by Bill Jellen and Rob Collie<br />
<br />
=== Blogs ===<br />
<br />
[https://powerpivotpro.com/ powerpivotpro] - a general go to source. You tend to find a lot of the other industry experts contribute or help out in the comments.<br />
<br />
[https://www.sqlbi.com/ sqlbi] - Marco Russo and Alberto Ferrari covering DAX/SSAS/MDX<br />
<br />
[https://www.excelguru.ca/blog/ Excelguru] - blog by Ken Puls (M and Excel related topics)<br />
<br />
[https://www.kasperonbi.com/ Kasper on BI] - All about BI, Modelling, DAX and MS BI by Kasper de Jonge<br />
<br />
== Tableau ==</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Main_Page&diff=121Main Page2018-06-07T06:52:33Z<p>Mikorotkov: changed one of the link texts</p>
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<!-- "WELCOME TO MEASURE CHAT WIKI" --><br />
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<div style="font-size:162%; padding:.1em;">Welcome to Measure Chat Wiki</div><br />
<div style="font-size:95%;">The longterm information storage for Measure Chat that anyone can edit.</div><br />
</div><br />
<!-- PORTAL LIST ON RIGHT-HAND SIDE --><br />
<ul style="position:absolute; right:-1em; top:50%; margin-top:-2.4em; width:38%; min-width:25em; font-size:95%;"><br />
<li style="position:absolute; left:0; top:0;">TBD Topic 1</li><br />
<li style="position:absolute; left:0; top:1.6em;">TBD Topic 2</li><br />
<li style="position:absolute; left:0; top:3.2em;">TBD Topic 3</li><br />
<li style="position:absolute; left:33%; top:0;">[[Google Analytics]]</li><br />
<li style="position:absolute; left:33%; top:1.6em;">[[Data Visualization]]</li><br />
<li style="position:absolute; left:33%; top:3.2em;">[[Women in Analytics]]</li><br />
<li style="position:absolute; left:66%; top:0;">[[Data_Science|Data Science]]</li><br />
<li style="position:absolute; left:66%; top:1.6em;">[[Analytics Library|Analytics Library]]</li><br />
<li style="position:absolute; left:66%; top:3.2em;"><strong>[[MeasureChatWiki:About|About This Wiki]]</strong></li><br />
</ul><br />
</div><br />
<br />
== About #measure Slack ==<br />
<br />
The purpose of #measure Slack is to attract additional genius to the industry and expose folks to the best people out there to help overcome those day to day tough questions.<br />
Sit back, relax, and enjoy your flight!<br />
<br />
To learn more about #measure chat and how it all started go to: [[https://www.measure.chat/ #measure chat]]<br />
<br />
To join #measure Slack, simply go to:[[http://join.measure.chat/ join #measure Slack]]<br />
<br />
== Slack Channels ==<br />
(Please add those that were missed)<br />
<br />
* [[Adobe Analytics Channel]]<br />
* [[BI-Tools]] - Discuss and ask questions re: Tableau and other BI tools (Cognos, Microstrategy, Pentaho, Domo, Qlikview etc)<br />
* [[Blogs and Podcasts Channel]]<br />
* [[Conferences]] - Whether it be eMetrics, DAA Symposium, a local Web Analytics Wednesday - this is where you talk about it<br />
* [[Data_Science|Data Science]] - Discuss and ask questions re: R and other stats tools (SAS, SPSS, etc) or general statistical modeling discussions<br />
* [[Data Visualization]] - Pie charts, pie charts, and more pie charts. If you love pie charts then this channel will be your "jam"<br />
* [[Google Analytics]] - Questions, Announcements.... If it is about Google Analytics it lives here.<br />
* [[Testing Channel]] - If it is about testing, then it is in here.<br />
* [[Women in Analytics]]</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Main_Page&diff=120Main Page2018-06-04T07:14:43Z<p>Mikorotkov: Updated about section</p>
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<!-- "WELCOME TO MEASURE CHAT WIKI" --><br />
<div style="margin:0.4em; width:22em; text-align:center;"><br />
<div style="font-size:162%; padding:.1em;">Welcome to Measure Chat Wiki</div><br />
<div style="font-size:95%;">The longterm information storage for Measure Chat that anyone can edit.</div><br />
</div><br />
<!-- PORTAL LIST ON RIGHT-HAND SIDE --><br />
<ul style="position:absolute; right:-1em; top:50%; margin-top:-2.4em; width:38%; min-width:25em; font-size:95%;"><br />
<li style="position:absolute; left:0; top:0;">TBD Topic 1</li><br />
<li style="position:absolute; left:0; top:1.6em;">TBD Topic 2</li><br />
<li style="position:absolute; left:0; top:3.2em;">TBD Topic 3</li><br />
<li style="position:absolute; left:33%; top:0;">[[Google Analytics]]</li><br />
<li style="position:absolute; left:33%; top:1.6em;">[[Data Visualization]]</li><br />
<li style="position:absolute; left:33%; top:3.2em;">[[Women in Analytics]]</li><br />
<li style="position:absolute; left:66%; top:0;">[[Data_Science|Data Science]]</li><br />
<li style="position:absolute; left:66%; top:1.6em;">[[Analytics Library|Analytics Library]]</li><br />
<li style="position:absolute; left:66%; top:3.2em;"><strong>[[MeasureChatWiki:About|About This Wiki]]</strong></li><br />
</ul><br />
</div><br />
<br />
== About #measure Slack ==<br />
<br />
The purpose of #measure Slack is to attract additional genius to the industry and expose folks to the best people out there to help overcome those day to day tough questions.<br />
Sit back, relax, and enjoy your flight!<br />
<br />
To learn more about #measure chat and how it all started go to: [[https://www.measure.chat/ #measure chat]]<br />
<br />
To join #measure Slack, simply go to:[[http://join.measure.chat/ join #measure Slack]]<br />
<br />
== Slack Channels ==<br />
(Please add those that were missed)<br />
<br />
* [[Adobe Analytics Channel]]<br />
* [[Bi-Tools Channel]] - Discuss and ask questions re: Tableau and other BI tools (Cognos, Microstrategy, Pentaho, Domo, Qlikview etc)<br />
* [[Blogs and Podcasts Channel]]<br />
* [[Conferences]] - Whether it be eMetrics, DAA Symposium, a local Web Analytics Wednesday - this is where you talk about it<br />
* [[Data_Science|Data Science]] - Discuss and ask questions re: R and other stats tools (SAS, SPSS, etc) or general statistical modeling discussions<br />
* [[Data Visualization]] - Pie charts, pie charts, and more pie charts. If you love pie charts then this channel will be your "jam"<br />
* [[Google Analytics]] - Questions, Announcements.... If it is about Google Analytics it lives here.<br />
* [[Testing Channel]] - If it is about testing, then it is in here.<br />
* [[Women in Analytics]]</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Main_Page&diff=119Main Page2018-06-04T07:07:28Z<p>Mikorotkov: /* Slack Channels */ - added links to existing channels and description of channels</p>
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<div id="mp-topbanner" style="clear:both; position:relative; box-sizing:border-box; width:100%; margin:1.2em 0 6px; min-width:47em; border:1px solid #ddd; background-color:#f9f9f9; color:#000; white-space:nowrap;"><br />
<!-- "WELCOME TO MEASURE CHAT WIKI" --><br />
<div style="margin:0.4em; width:22em; text-align:center;"><br />
<div style="font-size:162%; padding:.1em;">Welcome to Measure Chat Wiki</div><br />
<div style="font-size:95%;">The longterm information storage for Measure Chat that anyone can edit.</div><br />
</div><br />
<!-- PORTAL LIST ON RIGHT-HAND SIDE --><br />
<ul style="position:absolute; right:-1em; top:50%; margin-top:-2.4em; width:38%; min-width:25em; font-size:95%;"><br />
<li style="position:absolute; left:0; top:0;">TBD Topic 1</li><br />
<li style="position:absolute; left:0; top:1.6em;">TBD Topic 2</li><br />
<li style="position:absolute; left:0; top:3.2em;">TBD Topic 3</li><br />
<li style="position:absolute; left:33%; top:0;">[[Google Analytics]]</li><br />
<li style="position:absolute; left:33%; top:1.6em;">[[Data Visualization]]</li><br />
<li style="position:absolute; left:33%; top:3.2em;">[[Women in Analytics]]</li><br />
<li style="position:absolute; left:66%; top:0;">[[Data_Science|Data Science]]</li><br />
<li style="position:absolute; left:66%; top:1.6em;">[[Analytics Library|Analytics Library]]</li><br />
<li style="position:absolute; left:66%; top:3.2em;"><strong>[[MeasureChatWiki:About|About This Wiki]]</strong></li><br />
</ul><br />
</div><br />
<br />
<br />
== Slack Channels ==<br />
(Please add those that were missed)<br />
<br />
* [[Adobe Analytics Channel]]<br />
* [[Bi-Tools Channel]] - Discuss and ask questions re: Tableau and other BI tools (Cognos, Microstrategy, Pentaho, Domo, Qlikview etc)<br />
* [[Blogs and Podcasts Channel]]<br />
* [[Conferences]] - Whether it be eMetrics, DAA Symposium, a local Web Analytics Wednesday - this is where you talk about it<br />
* [[Data_Science|Data Science]] - Discuss and ask questions re: R and other stats tools (SAS, SPSS, etc) or general statistical modeling discussions<br />
* [[Data Visualization]] - Pie charts, pie charts, and more pie charts. If you love pie charts then this channel will be your "jam"<br />
* [[Google Analytics]] - Questions, Announcements.... If it is about Google Analytics it lives here.<br />
* [[Testing Channel]] - If it is about testing, then it is in here.<br />
* [[Women in Analytics]]</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Data_Visualization&diff=118Data Visualization2018-06-04T06:56:57Z<p>Mikorotkov: Added link to an article</p>
<hr />
<div>Pie charts, pie charts, and more pie charts. Everything related to data visualization can be found here: useful techniques, inspiration, frameworks, and thought provoking ideas.<br />
<br />
<br />
== Books==<br />
<br />
== Podcasts ==<br />
[http://leapica.com/podcast/| The Present Beyond Measure® Show] by Lea Pica<br />
<br />
== Video Tutorials ==<br />
<br />
== Blogs ==<br />
[http://flowingdata.com/| Flowingdata] - A lot of good examples of visualization for inspiration<br />
<br />
[https://www.gapminder.org/| Gapminder] - Visualization with charts and physical objects<br />
<br />
[http://www.storytellingwithdata.com/ Storytelling with data]<br />
== Articles ==<br />
[https://towardsdatascience.com/5-data-storytelling-tips-for-creating-more-persuasive-charts-and-graphs-150f3544b4e8| 5 Data Storytelling Tips for Creating More Persuasive Charts and Graphs]<br />
<br />
[https://moz.com/blog/impactful-data-storytelling| PICA Protocol: A Visualization Prescription for Impactful Data Storytelling] - Whiteboard Friday episode summarizing the PICA Protocol by Lea Pica (Video)<br />
<br />
== Tools ==<br />
[[Colors]]</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Data_Science&diff=112Data Science2018-04-20T12:18:44Z<p>Mikorotkov: Changed formating and added courses section</p>
<hr />
<div>This page is a repository of links/resources that were originally published or may be of interest to the #data-science channel in the [http://join.measure.chat Measure Slack team]. As it grows, we can spin off separate pages such that this becomes more of a shell page linking to those pages.<br />
<br />
<br />
<br />
== General Purpose Resources ==<br />
* Coding collaboration (think Google Docs for code) - http://codr.io/<br />
* [https://speakerdeck.com/rmcelreath/statistical-rethinking-fall-2017-lecture-01?slide=6 Flowchart showing which statistical method applies based on the variable type and question type]<br />
* [http://scikit-learn.org/stable/tutorial/machine_learning_map/index.html Choosing the right estimator] (similar idea as above)<br />
<br />
== R Resources ==<br />
* [http://dartistics.com Dartistics]<br />
* [http://code.markedmondson.me/ Mark Edmondson's Code Blog]<br />
* [http://r4ds.had.co.nz/ R for Data Science by Hadley Wickham - full book online]<br />
* [https://www.tidytextmining.com/ Tidy Text Mining by Julia Silge]<br />
<br />
== R Packages ==<br />
<br />
This isn't an exhaustive list of R packages (obviously), but is a list of packages that are specifically of interest to digital analysts:<br />
* [http://code.markedmondson.me/googleAnalyticsR/ googleAnalyticsR] - package for pulling data from Google Analytics using the v4 API<br />
* [http://code.markedmondson.me/bigQueryR/ bigQueryR] - package for pulling data from Google BigQuery<br />
* [http://randyzwitch.com/rsitecatalyst/ RSiteCatalyst] - package for pulling data from Adobe Analytics<br />
<br />
<br />
== Python Resources ==<br />
<br />
== Courses ==<br />
<br />
[https://www.datacamp.com/ DataCamp] Learn Data Science Online - free + paid courses<br />
<br />
[https://www.udemy.com/python-coding/ Python A-Z] paid course<br />
<br />
[https://www.udemy.com/machinelearning/ Machine Learning A-Z] paid course</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Google_Analytics&diff=111Google Analytics2018-04-20T09:08:45Z<p>Mikorotkov: Added content to the page</p>
<hr />
<div>If it is about Google Analytics it lives here.<br />
<br />
<br />
== Important documentation ==<br />
[https://brianclifton.com/blog/2012/10/16/google-analytics-limits-a-reference-guide/ Google Analytics Limits]<br />
<br />
[https://developers.google.com/analytics/devguides/collection/analyticsjs/field-reference Analytics.js Field Reference]<br />
<br />
== Books==<br />
<br />
[https://www.amazon.com/Web-Analytics-2-0-Accountability-Centricity/dp/0470529393 Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity] by Avinash Kaushik<br />
<br />
== Podcasts ==<br />
<br />
== Video Tutorials ==<br />
<br />
== Blogs ==<br />
<br />
[https://www.kaushik.net/avinash/ Occam's razor by Avinash Kaushik]<br />
<br />
== Articles ==<br />
[https://blog.kissmetrics.com/google-analytics-resources/ The Ultimate Guide to Google Analytics Resources]<br />
<br />
[http://www.seerinteractive.com/blog/event-tracking-naming-strategy/ Event Tracking Naming Strategy]<br />
<br />
== Tools ==<br />
[https://ga-dev-tools.appspot.com/query-explorer/#report-start Query Explorer] This tool lets you play with the Core Reporting API by building queries to get data from your Google Analytics</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Analytics_Library&diff=110Analytics Library2018-04-19T07:53:20Z<p>Mikorotkov: /* Tools */</p>
<hr />
<div>Analytics professionals can find useful techniques, inspiration, frameworks, and thought provoking ideas in these sources (includes Actual Books, podcasts, videos, blog posts, and other ephemera):<br />
<br />
<br />
== Books ==<br />
[https://www.amazon.com/Turning-Numbers-into-Knowledge-Mastering/dp/1938377060/| Turning Numbers into Knowledge - Mastering the art of of Problem Solving] by Jonathan Garo Koomey (Author), John P Holdren (Foreword), October 1, 2017<br />
<br />
[http://leananalyticsbook.com|Lean Analytics: Use Data to Build a Better Startup Faster] by Alistair Croll, Benjamin Yoskovitz, March 2013<br />
<br />
[https://www.amazon.com/Information-Dashboard-Design-Effective-Communication/dp/0596100167| Information Dashboard Design] by Stephen Few<br />
<br />
[https://www.amazon.com/Statistics-Plain-English-Fourth-1/dp/1138838349/ref=sr_1_1 Statistics in Plain English] by Timothy C. Urdan<br />
<br />
[https://www.cia.gov/library/center-for-the-study-of-intelligence/csi-publications/books-and-monographs/psychology-of-intelligence-analysis/PsychofIntelNew.pdf| Psychology of Intelligence Analysis] by by Richards J. Heuer<br />
<br />
[http://www.webanalyticsdemystified.com/downloads/The_Big_Book_of_Key_Performance_Indicators_by_Eric_Peterson.pdf The Big Book of Key Performance Indicators] by Eric T. Peterson.<br />
<br />
== Podcasts ==<br />
[http://www.analyticshour.io/ Digital Analytics Power Hour]<br />
<br />
[https://www.blubrry.com/numetric_podcast/ The 10 Minute Business Analytics Podcast]<br />
<br />
[http://allanalytics.libsyn.com/ The All Analytics Podcast]<br />
<br />
[https://itunes.apple.com/us/podcast/analyticstoday-podcast/id1044308732 Analytics Today Podcast]<br />
<br />
[http://datastori.es/ Data stories]<br />
<br />
[https://www.drilltodetail.com/ Drill to detail]<br />
<br />
[http://lineardigressions.com/ Linear Digressions]<br />
<br />
[http://nssdeviations.com/ Not so Standard Deviations]<br />
<br />
[https://dataskeptic.com/ Data Skeptic]<br />
<br />
[http://partiallyderivative.com/ Partially derivative] - "data, data science and general geekery"<br />
<br />
== Video Tutorials ==<br />
<br />
[https://www.youtube.com/channel/UClgihdkPzNDtuoQy4xDw5mA/videos?flow=grid&view=0&sort=p MeasureSchool Tutorials - Google tools]<br />
<br />
[https://www.youtube.com/channel/UCCH6Q0HdjUan-fdzRBQPCNA/videos?flow=grid&sort=p&view=0 Weboq Tutorials - Google tools]<br />
<br />
[https://www.linkedin.com/learning/advanced-google-analytics/ Advanced Google Analytics (Paid Course)]<br />
<br />
[https://adobe.ly/adobeanalyticsyoutube/ Adobe Analytics Official YouTube Channel]<br />
<br />
== Blogs ==<br />
[https://www.simoahava.com/ Simo Ahava's Blog about GTM] <br />
<br />
[https://www.lunametrics.com/blog/ LunaMetrics Blog]<br />
<br />
[https://www.kaushik.net/avinash/ Occam's razor by Avinash Kaushik]<br />
<br />
== Tools ==<br />
[[Google Analytics]]<br />
<br />
[[Google Tag Manager]]<br />
<br />
[[Adobe analytics]]<br />
<br />
[[Adobe DTM]]<br />
<br />
[https://www.davinci.tools/ Da Vinci Tools by Stéphane Hamel] Chrome extension - Google Analytics Power Tools<br />
<br />
[https://www.simoahava.com/tools/gtm-tools-by-simo-ahava/ GTM Tools by Simo Ahava] Google Sheets add-on<br />
<br />
[https://chrome.google.com/webstore/detail/launch-and-dtm-switch/nlgdemkdapolikbjimjajpmonpbpmipk Launch and DTM Switch] Chrome Extension</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Analytics_Library&diff=109Analytics Library2018-04-19T07:49:58Z<p>Mikorotkov: /* Books */</p>
<hr />
<div>Analytics professionals can find useful techniques, inspiration, frameworks, and thought provoking ideas in these sources (includes Actual Books, podcasts, videos, blog posts, and other ephemera):<br />
<br />
<br />
== Books ==<br />
[https://www.amazon.com/Turning-Numbers-into-Knowledge-Mastering/dp/1938377060/| Turning Numbers into Knowledge - Mastering the art of of Problem Solving] by Jonathan Garo Koomey (Author), John P Holdren (Foreword), October 1, 2017<br />
<br />
[http://leananalyticsbook.com|Lean Analytics: Use Data to Build a Better Startup Faster] by Alistair Croll, Benjamin Yoskovitz, March 2013<br />
<br />
[https://www.amazon.com/Information-Dashboard-Design-Effective-Communication/dp/0596100167| Information Dashboard Design] by Stephen Few<br />
<br />
[https://www.amazon.com/Statistics-Plain-English-Fourth-1/dp/1138838349/ref=sr_1_1 Statistics in Plain English] by Timothy C. Urdan<br />
<br />
[https://www.cia.gov/library/center-for-the-study-of-intelligence/csi-publications/books-and-monographs/psychology-of-intelligence-analysis/PsychofIntelNew.pdf| Psychology of Intelligence Analysis] by by Richards J. Heuer<br />
<br />
[http://www.webanalyticsdemystified.com/downloads/The_Big_Book_of_Key_Performance_Indicators_by_Eric_Peterson.pdf The Big Book of Key Performance Indicators] by Eric T. Peterson.<br />
<br />
== Podcasts ==<br />
[http://www.analyticshour.io/ Digital Analytics Power Hour]<br />
<br />
[https://www.blubrry.com/numetric_podcast/ The 10 Minute Business Analytics Podcast]<br />
<br />
[http://allanalytics.libsyn.com/ The All Analytics Podcast]<br />
<br />
[https://itunes.apple.com/us/podcast/analyticstoday-podcast/id1044308732 Analytics Today Podcast]<br />
<br />
[http://datastori.es/ Data stories]<br />
<br />
[https://www.drilltodetail.com/ Drill to detail]<br />
<br />
[http://lineardigressions.com/ Linear Digressions]<br />
<br />
[http://nssdeviations.com/ Not so Standard Deviations]<br />
<br />
[https://dataskeptic.com/ Data Skeptic]<br />
<br />
[http://partiallyderivative.com/ Partially derivative] - "data, data science and general geekery"<br />
<br />
== Video Tutorials ==<br />
<br />
[https://www.youtube.com/channel/UClgihdkPzNDtuoQy4xDw5mA/videos?flow=grid&view=0&sort=p MeasureSchool Tutorials - Google tools]<br />
<br />
[https://www.youtube.com/channel/UCCH6Q0HdjUan-fdzRBQPCNA/videos?flow=grid&sort=p&view=0 Weboq Tutorials - Google tools]<br />
<br />
[https://www.linkedin.com/learning/advanced-google-analytics/ Advanced Google Analytics (Paid Course)]<br />
<br />
[https://adobe.ly/adobeanalyticsyoutube/ Adobe Analytics Official YouTube Channel]<br />
<br />
== Blogs ==<br />
[https://www.simoahava.com/ Simo Ahava's Blog about GTM] <br />
<br />
[https://www.lunametrics.com/blog/ LunaMetrics Blog]<br />
<br />
[https://www.kaushik.net/avinash/ Occam's razor by Avinash Kaushik]<br />
<br />
== Tools ==<br />
[https://www.davinci.tools/ Da Vinci Tools by Stéphane Hamel] Chrome extension - Google Analytics Power Tools<br />
<br />
[https://www.simoahava.com/tools/gtm-tools-by-simo-ahava/ GTM Tools by Simo Ahava] Google Sheets add-on<br />
<br />
[https://chrome.google.com/webstore/detail/launch-and-dtm-switch/nlgdemkdapolikbjimjajpmonpbpmipk Launch and DTM Switch] Chrome Extension</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Analytics_Library&diff=106Analytics Library2018-04-18T14:49:30Z<p>Mikorotkov: Added new section and links</p>
<hr />
<div>Analytics professionals can find useful techniques, inspiration, frameworks, and thought provoking ideas in these sources (includes Actual Books, podcasts, videos, blog posts, and other ephemera):<br />
<br />
<br />
== Books ==<br />
[https://www.amazon.com/Turning-Numbers-into-Knowledge-Mastering/dp/1938377060/| Turning Numbers into Knowledge - Mastering the art of of Problem Solving] by Jonathan Garo Koomey (Author), John P Holdren (Foreword), October 1, 2017<br />
<br />
[http://leananalyticsbook.com|Lean Analytics: Use Data to Build a Better Startup Faster] by Alistair Croll, Benjamin Yoskovitz, March 2013<br />
<br />
[https://www.amazon.com/Information-Dashboard-Design-Effective-Communication/dp/0596100167| Information Dashboard Design] by Stephen Few<br />
<br />
[https://www.amazon.com/Statistics-Plain-English-Fourth-1/dp/1138838349/ref=sr_1_1 Statistics in Plain English] by Timothy C. Urdan<br />
<br />
[https://www.cia.gov/library/center-for-the-study-of-intelligence/csi-publications/books-and-monographs/psychology-of-intelligence-analysis/PsychofIntelNew.pdf| Psychology of Intelligence Analysis] by by Richards J. Heuer<br />
<br />
== Podcasts ==<br />
[http://www.analyticshour.io/ Digital Analytics Power Hour]<br />
<br />
[https://www.blubrry.com/numetric_podcast/ The 10 Minute Business Analytics Podcast]<br />
<br />
[http://allanalytics.libsyn.com/ The All Analytics Podcast]<br />
<br />
[https://itunes.apple.com/us/podcast/analyticstoday-podcast/id1044308732 Analytics Today Podcast]<br />
<br />
[http://datastori.es/ Data stories]<br />
<br />
[https://www.drilltodetail.com/ Drill to detail]<br />
<br />
[http://lineardigressions.com/ Linear Digressions]<br />
<br />
[http://nssdeviations.com/ Not so Standard Deviations]<br />
<br />
[https://dataskeptic.com/ Data Skeptic]<br />
<br />
[http://partiallyderivative.com/ Partially derivative] - "data, data science and general geekery"<br />
<br />
== Video Tutorials ==<br />
<br />
[https://www.youtube.com/channel/UClgihdkPzNDtuoQy4xDw5mA/videos?flow=grid&view=0&sort=p MeasureSchool Tutorials - Google tools]<br />
<br />
[https://www.youtube.com/channel/UCCH6Q0HdjUan-fdzRBQPCNA/videos?flow=grid&sort=p&view=0 Weboq Tutorials - Google tools]<br />
<br />
[https://www.linkedin.com/learning/advanced-google-analytics/ Advanced Google Analytics (Paid Course)]<br />
<br />
== Blogs ==<br />
[https://www.simoahava.com/ Simo Ahava's Blog about GTM] <br />
<br />
[https://www.lunametrics.com/blog/ LunaMetrics Blog]<br />
<br />
[https://www.kaushik.net/avinash/ Occam's razor by Avinash Kaushik]<br />
<br />
== Tools ==<br />
[https://www.davinci.tools/ Da Vinci Tools by Stéphane Hamel] Chrome extension - Google Analytics Power Tools<br />
<br />
[https://www.simoahava.com/tools/gtm-tools-by-simo-ahava/ GTM Tools by Simo Ahava] Google Sheets add-on</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Data_Visualization&diff=105Data Visualization2018-04-18T12:37:09Z<p>Mikorotkov: Added new link</p>
<hr />
<div>Pie charts, pie charts, and more pie charts. Everything related to data visualization can be found here: useful techniques, inspiration, frameworks, and thought provoking ideas.<br />
<br />
<br />
== Books==<br />
<br />
== Podcasts ==<br />
[http://leapica.com/podcast/| The Present Beyond Measure® Show] by Lea Pica<br />
<br />
== Video Tutorials ==<br />
<br />
== Blogs ==<br />
[http://flowingdata.com/| Flowingdata] - A lot of good examples of visualization for inspiration<br />
<br />
[https://www.gapminder.org/| Gapminder] - Visualization with charts and physical objects<br />
<br />
[http://www.storytellingwithdata.com/ Storytelling with data]<br />
== Articles ==<br />
[https://towardsdatascience.com/5-data-storytelling-tips-for-creating-more-persuasive-charts-and-graphs-150f3544b4e8| 5 Data Storytelling Tips for Creating More Persuasive Charts and Graphs]<br />
== Tools ==<br />
[[Colors]]</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Analytics_Library&diff=104Analytics Library2018-04-18T12:27:11Z<p>Mikorotkov: Addes links to blogs and podcasts</p>
<hr />
<div>Analytics professionals can find useful techniques, inspiration, frameworks, and thought provoking ideas in these sources (includes Actual Books, podcasts, videos, blog posts, and other ephemera):<br />
<br />
<br />
== Books ==<br />
[https://www.amazon.com/Turning-Numbers-into-Knowledge-Mastering/dp/1938377060/| Turning Numbers into Knowledge - Mastering the art of of Problem Solving] by Jonathan Garo Koomey (Author), John P Holdren (Foreword), October 1, 2017<br />
<br />
[http://leananalyticsbook.com|Lean Analytics: Use Data to Build a Better Startup Faster] by Alistair Croll, Benjamin Yoskovitz, March 2013<br />
<br />
[https://www.amazon.com/Information-Dashboard-Design-Effective-Communication/dp/0596100167| Information Dashboard Design] by Stephen Few<br />
<br />
[https://www.amazon.com/Statistics-Plain-English-Fourth-1/dp/1138838349/ref=sr_1_1 Statistics in Plain English] by Timothy C. Urdan<br />
<br />
[https://www.cia.gov/library/center-for-the-study-of-intelligence/csi-publications/books-and-monographs/psychology-of-intelligence-analysis/PsychofIntelNew.pdf| Psychology of Intelligence Analysis] by by Richards J. Heuer<br />
<br />
== Podcasts ==<br />
[http://www.analyticshour.io/ Digital Analytics Power Hour]<br />
<br />
[https://www.blubrry.com/numetric_podcast/ The 10 Minute Business Analytics Podcast]<br />
<br />
[http://allanalytics.libsyn.com/ The All Analytics Podcast]<br />
<br />
[https://itunes.apple.com/us/podcast/analyticstoday-podcast/id1044308732 Analytics Today Podcast]<br />
<br />
[http://datastori.es/ Data stories]<br />
<br />
[https://www.drilltodetail.com/ Drill to detail]<br />
<br />
[http://lineardigressions.com/ Linear Digressions]<br />
<br />
[http://nssdeviations.com/ Not so Standard Deviations]<br />
<br />
[https://dataskeptic.com/ Data Skeptic]<br />
<br />
[http://partiallyderivative.com/ Partially derivative] - "data, data science and general geekery"<br />
<br />
== Video Tutorials ==<br />
<br />
[https://www.youtube.com/channel/UClgihdkPzNDtuoQy4xDw5mA/videos?flow=grid&view=0&sort=p MeasureSchool Tutorials - Google tools]<br />
<br />
[https://www.youtube.com/channel/UCCH6Q0HdjUan-fdzRBQPCNA/videos?flow=grid&sort=p&view=0 Weboq Tutorials - Google tools]<br />
<br />
[https://www.linkedin.com/learning/advanced-google-analytics/ Advanced Google Analytics (Paid Course)]<br />
<br />
== Blogs ==<br />
[https://www.simoahava.com/ Simo Ahava's Blog about GTM] <br />
<br />
[https://www.lunametrics.com/blog/ LunaMetrics Blog]<br />
<br />
[https://www.kaushik.net/avinash/ Occam's razor by Avinash Kaushik]</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Main_Page&diff=103Main Page2018-04-18T12:19:14Z<p>Mikorotkov: Changed link in the topics list</p>
<hr />
<div><!-- BANNER ACROSS TOP OF PAGE --><br />
<div id="mp-topbanner" style="clear:both; position:relative; box-sizing:border-box; width:100%; margin:1.2em 0 6px; min-width:47em; border:1px solid #ddd; background-color:#f9f9f9; color:#000; white-space:nowrap;"><br />
<!-- "WELCOME TO MEASURE CHAT WIKI" --><br />
<div style="margin:0.4em; width:22em; text-align:center;"><br />
<div style="font-size:162%; padding:.1em;">Welcome to Measure Chat Wiki</div><br />
<div style="font-size:95%;">The longterm information storage for Measure Chat that anyone can edit.</div><br />
</div><br />
<!-- PORTAL LIST ON RIGHT-HAND SIDE --><br />
<ul style="position:absolute; right:-1em; top:50%; margin-top:-2.4em; width:38%; min-width:25em; font-size:95%;"><br />
<li style="position:absolute; left:0; top:0;">TBD Topic 1</li><br />
<li style="position:absolute; left:0; top:1.6em;">TBD Topic 2</li><br />
<li style="position:absolute; left:0; top:3.2em;">TBD Topic 3</li><br />
<li style="position:absolute; left:33%; top:0;">[[Google Analytics]]</li><br />
<li style="position:absolute; left:33%; top:1.6em;">[[Data Visualization]]</li><br />
<li style="position:absolute; left:33%; top:3.2em;">[[Women in Analytics]]</li><br />
<li style="position:absolute; left:66%; top:0;">[[Data_Science|Data Science]]</li><br />
<li style="position:absolute; left:66%; top:1.6em;">[[Analytics Library|Analytics Library]]</li><br />
<li style="position:absolute; left:66%; top:3.2em;"><strong>[[MeasureChatWiki:About|About This Wiki]]</strong></li><br />
</ul><br />
</div></div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Data_Visualization&diff=102Data Visualization2018-04-18T12:18:15Z<p>Mikorotkov: Page for topics related to data visualization</p>
<hr />
<div>Pie charts, pie charts, and more pie charts. Everything related to data visualization can be found here: useful techniques, inspiration, frameworks, and thought provoking ideas.<br />
<br />
<br />
== Books==<br />
<br />
== Podcasts ==<br />
[http://leapica.com/podcast/| The Present Beyond Measure® Show] by Lea Pica<br />
<br />
== Video Tutorials ==<br />
<br />
== Blogs ==<br />
[http://flowingdata.com/| Flowingdata] - A lot of good examples of visualization for inspiration<br />
<br />
[https://www.gapminder.org/| Gapminder] - Visualization with charts and physical objects <br />
== Articles ==<br />
[https://towardsdatascience.com/5-data-storytelling-tips-for-creating-more-persuasive-charts-and-graphs-150f3544b4e8| 5 Data Storytelling Tips for Creating More Persuasive Charts and Graphs]<br />
== Tools ==<br />
[[Colors]]</div>Mikorotkovhttps://wiki.measure.chat/index.php?title=Main_Page&diff=101Main Page2018-04-18T11:46:54Z<p>Mikorotkov: Added orphaned pages to the list of topics</p>
<hr />
<div><!-- BANNER ACROSS TOP OF PAGE --><br />
<div id="mp-topbanner" style="clear:both; position:relative; box-sizing:border-box; width:100%; margin:1.2em 0 6px; min-width:47em; border:1px solid #ddd; background-color:#f9f9f9; color:#000; white-space:nowrap;"><br />
<!-- "WELCOME TO MEASURE CHAT WIKI" --><br />
<div style="margin:0.4em; width:22em; text-align:center;"><br />
<div style="font-size:162%; padding:.1em;">Welcome to Measure Chat Wiki</div><br />
<div style="font-size:95%;">The longterm information storage for Measure Chat that anyone can edit.</div><br />
</div><br />
<!-- PORTAL LIST ON RIGHT-HAND SIDE --><br />
<ul style="position:absolute; right:-1em; top:50%; margin-top:-2.4em; width:38%; min-width:25em; font-size:95%;"><br />
<li style="position:absolute; left:0; top:0;">TBD Topic 1</li><br />
<li style="position:absolute; left:0; top:1.6em;">TBD Topic 2</li><br />
<li style="position:absolute; left:0; top:3.2em;">TBD Topic 3</li><br />
<li style="position:absolute; left:33%; top:0;">[[Google Analytics]]</li><br />
<li style="position:absolute; left:33%; top:1.6em;">[[Colors]]</li><br />
<li style="position:absolute; left:33%; top:3.2em;">[[Women in Analytics]]</li><br />
<li style="position:absolute; left:66%; top:0;">[[Data_Science|Data Science]]</li><br />
<li style="position:absolute; left:66%; top:1.6em;">[[Analytics Library|Analytics Library]]</li><br />
<li style="position:absolute; left:66%; top:3.2em;"><strong>[[MeasureChatWiki:About|About This Wiki]]</strong></li><br />
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