JMSAnalytics's profile picture. I’m an economist and data professional trying to make the world a more comprehensible place, one dataset at a time.

Joel Sherman

@JMSAnalytics

I’m an economist and data professional trying to make the world a more comprehensible place, one dataset at a time.

#Datamodelling and #slicers in #PowerBI helped me preserve the relationship between my first and third sets in this week's #WOW2022 on #parallelsets visuals. @MMarie @JSBaucke @shan_gsd @KerryKolosko @NerdyWithData Link to viz: ow.ly/H78h50HZuF1


Had some fun with the Key Influencers visual in #PowerBI as part of #WOW2022. Thanks to @shan_gsd for the challenge. What a great tool to conduct #EDA on a dataset prior to modelling. @JSBaucke @MMarie @KerryKolosko @NerdyWithData Link to viz: ow.ly/hwG050HS6Y3

JMSAnalytics's tweet image. Had some fun with the Key Influencers visual in #PowerBI as part of #WOW2022.  Thanks to @shan_gsd for the challenge.  What a great tool to conduct #EDA on a dataset prior to modelling.  @JSBaucke @MMarie @KerryKolosko @NerdyWithData 

Link to viz: ow.ly/hwG050HS6Y3

Fun with #hexmaps in this week's #WOW2022 in #PowerBI with design help from @numerroio @JSBaucke @MMarie @shan_gsd @KerryKolosko @NerdyWithData Link to Viz: ow.ly/AvpN50HF9LW


This week's #WOW2022 week 3 in #PowerBI is reference lines! Thanks to @numerroio for the design tools. @JSBaucke @MMarie @shan_gsd @KerryKolosko @NerdyWithData Link to viz: ow.ly/rPam50Hz7gs


Recent updates to #PowerBI include some great new features that are in this and last week's Workout Wednesday #WOW2022. #sparklines are now native in tables and matrixes, and page navigation couldn't be easier! @JSBaucke @MMarie @shan_gsd @KerryKolosko @NerdyWithData


Here are 10 great #dashboard and #datavisualization design principles from Weronika Gawarska-Tywonek ow.ly/Fj2i50EI94z


Facebook AI’s relatively new #NeuralProphet model applies #deeplearning to time series problems. Eager to incorporate this into my forecasting toolkit. Thanks to Amol Mavuduru for the story and code examples. ow.ly/CZXS30rH62w

JMSAnalytics's tweet image. Facebook AI’s relatively new #NeuralProphet model applies #deeplearning to time series problems.  Eager to incorporate this into my forecasting toolkit. Thanks to Amol Mavuduru for the story and code examples. ow.ly/CZXS30rH62w

Several tools exist to connect engines and run #sql queries in a notebook environment, which is exciting. Roman Orac discusses #sqlalchemy and #ipythonsql. ow.ly/pYZK30rEbFe

JMSAnalytics's tweet image. Several tools exist to connect engines and run #sql queries in a notebook environment, which is exciting. Roman Orac discusses #sqlalchemy and #ipythonsql. ow.ly/pYZK30rEbFe

Forced to use #excel for organizational reasons? Use #python to automate workbook production. Nishan Pradham discusses how here. ow.ly/lQOh30rEbDZ

JMSAnalytics's tweet image. Forced to use #excel for organizational reasons?  Use #python to automate workbook production.  Nishan Pradham discusses how here. ow.ly/lQOh30rEbDZ

Build less, build better. David Pires provides some interesting thoughts on how to apply design thinking to #datavisualization ow.ly/zcvL30rEbyW

JMSAnalytics's tweet image. Build less, build better. David Pires provides some interesting thoughts on how to apply design thinking to #datavisualization ow.ly/zcvL30rEbyW

Nikola Llic and Kasper de Jonge show an interesting way to use the #dax TREATAS function for dynamic chart axis in #powerbi ow.ly/hacl30rAxir

JMSAnalytics's tweet image. Nikola Llic and Kasper de Jonge show an interesting way to use the #dax TREATAS function for dynamic chart axis in #powerbi ow.ly/hacl30rAxir

Avoiding the Texas Sharpshooter fallacy with holdout data, and other useful nuggets to avoid common statistical mistakes in #datascience from Roberto Terceros ow.ly/ofvF30rAwZf

JMSAnalytics's tweet image. Avoiding the Texas Sharpshooter fallacy with holdout data, and other useful nuggets to avoid common statistical mistakes in #datascience from Roberto Terceros ow.ly/ofvF30rAwZf

#powerbi Premium per User is here, and its only $10 more per month than a pro license! Put #charticulator into PBI desktop, and goodbye #tableau ow.ly/fSks30rAwXc

JMSAnalytics's tweet image. #powerbi Premium per User is here, and its only $10 more per month than a pro license!  Put #charticulator into PBI desktop, and goodbye #tableau ow.ly/fSks30rAwXc

Don’t be afraid of writing and reading complex, multilayered #SQL scripts. Maw Ferrari shows the way ow.ly/T1uf30rAwVe

JMSAnalytics's tweet image. Don’t be afraid of writing and reading complex, multilayered #SQL scripts. Maw Ferrari shows the way ow.ly/T1uf30rAwVe

Peter Hui uses trains as a model to describe the difference between #powerbi filter context and row context, a must know for any #dax developer. ow.ly/ZrnC30rAwT4

JMSAnalytics's tweet image. Peter Hui uses trains as a model to describe the difference between #powerbi filter context and row context, a must know for any #dax developer. ow.ly/ZrnC30rAwT4

Week 9 of #MakeOverMonday is about Representation of Women in Government, in the EU. Thanks to Parker Stevens @PowerBIElite for the tips on dynamic line chart highlighting. #PowerBI Viz: app.powerbi.com/view?r=eyJrIjo…

JMSAnalytics's tweet image. Week 9 of #MakeOverMonday is about Representation of Women in Government, in the EU.  Thanks to Parker Stevens @PowerBIElite for the tips on dynamic line chart highlighting. #PowerBI 

Viz: app.powerbi.com/view?r=eyJrIjo…

#COVID19 separated us from each other, but it brought us closer to our #bicycles. This is the focus of my submission for Week 1 of #MakeoverMonday. Link to viz: app.powerbi.com/view?r=eyJrIjo…

JMSAnalytics's tweet image. #COVID19 separated us from each other, but it brought us closer to our #bicycles.   This is the focus of my submission for Week 1 of #MakeoverMonday.  

Link to viz: app.powerbi.com/view?r=eyJrIjo…

#python has so many libraries built off #pandas for exploring dataframes. I just learned a new one, LUX, thanks to Himanshu Sharma. ow.ly/IM9T30rxPXg

JMSAnalytics's tweet image. #python has so many libraries built off #pandas for exploring dataframes.  I just learned a new one, LUX, thanks to Himanshu Sharma. ow.ly/IM9T30rxPXg

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