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Python Data Analysis and Visualization with Pandas and Matplotlib

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This is an introduction to Data Analysis and Visualization in Python primarily using the Pandas and Matplotlib libraries.
Github Page with Workshop content:
Download Anaconda:
UVA Library Workshop Calendar:
UVA StatLab:
ChatGPT:
0:00 - Intro & Background
6:07 - Download workshop materials and open in JupyterLab
17:11 - Intro to Pandas
20:40 - Pandas Dataframes
22:44 - Dataframe columns
34:04 - Dataframe rows
48:00 - Intro to Matplotlib
50:49 - Matplotlib bar plot
55:54 - Matplitlib horizontal bar plot
56:54 - Matplotlib line plot
58:30 - Matplotlib multiple plots overlay
01:03:47 - Matplotlib stacked bar chart
01:05:53 - Matplotlib grouped bar chart
01:09:18 - Matplotlib plot labels
01:14:16 - Matplotlib label formatting
01:16:22 - Matplotlib scatter plot
01:18:06 - Self Help including ChatGPT
Github Page with Workshop content:
Download Anaconda:
UVA Library Workshop Calendar:
UVA StatLab:
ChatGPT:
0:00 - Intro & Background
6:07 - Download workshop materials and open in JupyterLab
17:11 - Intro to Pandas
20:40 - Pandas Dataframes
22:44 - Dataframe columns
34:04 - Dataframe rows
48:00 - Intro to Matplotlib
50:49 - Matplotlib bar plot
55:54 - Matplitlib horizontal bar plot
56:54 - Matplotlib line plot
58:30 - Matplotlib multiple plots overlay
01:03:47 - Matplotlib stacked bar chart
01:05:53 - Matplotlib grouped bar chart
01:09:18 - Matplotlib plot labels
01:14:16 - Matplotlib label formatting
01:16:22 - Matplotlib scatter plot
01:18:06 - Self Help including ChatGPT