Level: Intermediate
Job Function: Analyst / Scientist / Engineer

 

Best Invited Paper Winner


Julian Parris, JMP Learning Strategy Manager, SAS

Narcististic, adjective:

1. Statistically self-centered with an exaggerated sense of the importance of data about oneself. Often marked by or characteristic of excessive admiration of or infatuation with one's own data.

2. Displaying or marked by the excessive concern with the completeness, reliability and validity of one’s personal data.

 

In this presentation, we will explore more than 1,200 days of my personal data and the lessons the collection and analysis of those data revealed about both JMP and life. We will see how to craft complex visualizations from multivariate data, how to download data directly from Fitbit and Strava using JMP 14's API connectivity and New HTTP Request(), and tips for creating a data table that is expressly suited for daily data. We will explore all of this through a more than three-year visual narrative told through story, photos and data.

 

 

Presenter

Published on ‎03-24-2025 08:39 AM by Community Manager Community Manager

Level: Intermediate
Job Function: Analyst / Scientist / Engineer

 

Best Invited Paper Winner


Julian Parris, JMP Learning Strategy Manager, SAS

Narcististic, adjective:

1. Statistically self-centered with an exaggerated sense of the importance of data about oneself. Often marked by or characteristic of excessive admiration of or infatuation with one's own data.

2. Displaying or marked by the excessive concern with the completeness, reliability and validity of one’s personal data.

 

In this presentation, we will explore more than 1,200 days of my personal data and the lessons the collection and analysis of those data revealed about both JMP and life. We will see how to craft complex visualizations from multivariate data, how to download data directly from Fitbit and Strava using JMP 14's API connectivity and New HTTP Request(), and tips for creating a data table that is expressly suited for daily data. We will explore all of this through a more than three-year visual narrative told through story, photos and data.

 

 



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Start:
Tue, Mar 12, 2019 05:00 AM EDT
End:
Thu, Mar 14, 2019 01:00 PM EDT
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