Visualizing Data with Bokeh and Pandas
In this lesson you will learn how to visually explore and present data in Python by using the Bokeh and Pandas libraries. At the end of the lesson you will be able to: Load tabular CSV data; Perform basic data manipulation, such as aggregating and sub-sampling raw data; Visualize quantitative, ca...
| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Editorial Board of the Programming Historian
2018-07-01
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| Series: | The Programming Historian |
| Online Access: | https://programminghistorian.org/en/lessons/visualizing-with-bokeh |
| _version_ | 1818111148097011712 |
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| author | Charlie Harper |
| author_facet | Charlie Harper |
| author_sort | Charlie Harper |
| collection | DOAJ |
| description | In this lesson you will learn how to visually explore and present data in Python by using the Bokeh and Pandas libraries.
At the end of the lesson you will be able to: Load tabular CSV data; Perform basic data manipulation, such as aggregating and sub-sampling raw data; Visualize quantitative, categorical, and geographic data for web display; Add varying types of interactivity to your visualizations.
To reach these goals, we’ll work through a variety of visualization examples using THOR, a dataset that describes historical bombing operations. |
| first_indexed | 2024-12-11T02:58:26Z |
| format | Article |
| id | doaj.art-9d8052760c034b10a9230ecf8875976e |
| institution | Directory Open Access Journal |
| issn | 2397-2068 |
| language | English |
| last_indexed | 2024-12-11T02:58:26Z |
| publishDate | 2018-07-01 |
| publisher | Editorial Board of the Programming Historian |
| record_format | Article |
| series | The Programming Historian |
| spelling | doaj.art-9d8052760c034b10a9230ecf8875976e2022-12-22T01:23:06ZengEditorial Board of the Programming HistorianThe Programming Historian2397-20682018-07-01Visualizing Data with Bokeh and PandasCharlie Harper0Case Western Reserve UniversityIn this lesson you will learn how to visually explore and present data in Python by using the Bokeh and Pandas libraries. At the end of the lesson you will be able to: Load tabular CSV data; Perform basic data manipulation, such as aggregating and sub-sampling raw data; Visualize quantitative, categorical, and geographic data for web display; Add varying types of interactivity to your visualizations. To reach these goals, we’ll work through a variety of visualization examples using THOR, a dataset that describes historical bombing operations.https://programminghistorian.org/en/lessons/visualizing-with-bokeh |
| spellingShingle | Charlie Harper Visualizing Data with Bokeh and Pandas The Programming Historian |
| title | Visualizing Data with Bokeh and Pandas |
| title_full | Visualizing Data with Bokeh and Pandas |
| title_fullStr | Visualizing Data with Bokeh and Pandas |
| title_full_unstemmed | Visualizing Data with Bokeh and Pandas |
| title_short | Visualizing Data with Bokeh and Pandas |
| title_sort | visualizing data with bokeh and pandas |
| url | https://programminghistorian.org/en/lessons/visualizing-with-bokeh |
| work_keys_str_mv | AT charlieharper visualizingdatawithbokehandpandas |