LibGuides: TIM-8501 V4: Week 3 Resources

Week 3 Resources

Reminder: Please complete the O’Reilly login steps (See the Accessing O’Reilly link in the Week 1 Resources area) where you get an email that will allow your browser to keep your password, solving future access limitations.

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
Mailund, T. (2017). Beginning data science in R: Data analysis, visualization, and modelling for the data scientist. Apress.
Read Chapter 4 (Visualizing Data)
This chapter details how to create a variety of visualizations in R.
Python for Data Analysis
McKinney, W. (2017). Python for data analysis (2nd ed.). O'Reilly Media, Inc.
Read all sections Plotting and Visualization to Conclusion.
These sections show how to create a variety of visualizations in Python using Seaborn and Matplotlib.

Data Repository

COVID-19 Tests, Cases, and Deaths by Town (Connecticut)
Instructions:

Review the dataset information and the data dictionary provided.
Click the Export button and select CSV.
Swamp Chemistry Results (California)
Instructions:

Review the dataset information and the data dictionary provided.
Click the Export button and select CSV.