Visualizing Data with Bokeh and Pandas

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...

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Bibliographic Details
Main Author: Charlie Harper
Format: Article
Language:English
Published: Editorial Board of the Programming Historian 2018-07-01
Series:The Programming Historian
Online Access:https://programminghistorian.org/en/lessons/visualizing-with-bokeh
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spelling doaj-9d8052760c034b10a9230ecf8875976e2020-11-24T22:06:38ZengEditorial 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
collection DOAJ
language English
format Article
sources DOAJ
author Charlie Harper
spellingShingle Charlie Harper
Visualizing Data with Bokeh and Pandas
The Programming Historian
author_facet Charlie Harper
author_sort Charlie Harper
title Visualizing Data with Bokeh and Pandas
title_short 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_sort visualizing data with bokeh and pandas
publisher Editorial Board of the Programming Historian
series The Programming Historian
issn 2397-2068
publishDate 2018-07-01
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.
url https://programminghistorian.org/en/lessons/visualizing-with-bokeh
work_keys_str_mv AT charlieharper visualizingdatawithbokehandpandas
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