Data Visualization: Charts in matplotlib
Data visualization is a field that concerns the representation and presentation of data in the visual form. Such visualizations can reveal patterns, trends, and relationships in data, and there are many important guidelines about how to best represent and communicate data. While custom visualizations can be eye-catching and memorable, there a number of standard chart types that are commonly used to visualize data. Sometimes these charts are also known as plots (e.g. line plots) or graphs (e.g. bar graphs). In this courselet, we will explore different types of charts using the matplotlib library.
Launching this artifact will open it within Chameleon’s shared Jupyter experiment environment, which is accessible to all Chameleon users with an active allocation.
Download ArchiveDownload an archive containing the files of this artifact.
Download with git
Clone the git repository for this artifact, and checkout the version's commit
git clone https://github.com/dakoop/fount-charts-matplotlib
# cd into the created directory
git checkout f66739f621208bb7db7d540026ba0e6a2384a504
Submit feedback through GitHub issues