Data Visualization: Charts in pyobsplot

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 pyobsplot library.

- - - 1 Oct. 16, 2024, 2:50 AM

Authors

Launch on Chameleon

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 Archive

Download 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-pyobsplot
# cd into the created directory
git checkout fba34c5ff917fc426329183351aea13cb6efb14f
Feedback

Submit feedback through GitHub issues

Version Stats

- - -