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Little Miss Data
Home
Blog Archive
About
Speaking & Articles
Home
Blog Archive
About
Speaking & Articles
Map Plots Created With R And Ggmap
2020, For Learners and Educators Laura Grace Ellis 3/6/20 2020, For Learners and Educators Laura Grace Ellis 3/6/20

Map Plots Created With R And Ggmap

A tutorial demonstrating how to create geographical maps in R using ggmap.  Technologies include: R, Watson Studio and IBM Cloud.

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Free Hosted Dashboards in IBM Watson Studio
2019, For Learners and Educators Laura Grace Ellis 1/2/19 2019, For Learners and Educators Laura Grace Ellis 1/2/19

Free Hosted Dashboards in IBM Watson Studio

A tutorial showing how to create free hosted dashboards using Watson Studio and IBM Cloud.

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Get Started with R (For Free) in IBM Watson Studio
2018, For Learners and Educators Laura Grace Ellis 9/5/18 2018, For Learners and Educators Laura Grace Ellis 9/5/18

Get Started with R (For Free) in IBM Watson Studio

A tutorial showing how to get started with R in IBM Watson Studio. It provides a free, hosted R environment. What’s not to love?

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Time Based Heatmaps in R
For Learners and Educators Laura Grace Ellis 4/3/18 For Learners and Educators Laura Grace Ellis 4/3/18

Time Based Heatmaps in R

A tutorial demonstrating how to create time based heatmaps in R.  Technologies include: R, Watson Studio and IBM Cloud.

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Analysis on Google's Best Apps of 2017 List
2017, For Learners and Educators Laura Grace Ellis 12/30/17 2017, For Learners and Educators Laura Grace Ellis 12/30/17

Analysis on Google's Best Apps of 2017 List

A look at Google's "Best Apps of 2017" lists.  In this tutorial we use screen scraping and a wide variety of visualization techniques.  Technologies include: R, Data Science Experience and IBM Cloud.

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Predictive Analytics Tutorial: Part 1
2017, For Learners and Educators Laura Grace Ellis 11/2/17 2017, For Learners and Educators Laura Grace Ellis 11/2/17

Predictive Analytics Tutorial: Part 1

Part 1 of 4 in a tutorial showing how to perform end to end predictive analytics to solve your business problem.  The tutorial uses R notebooks, Data Science Experience and IBM Cloud. 

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