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What targets were munitions dropped on during the war? Were particular types of munitions limited to certain theaters of operations or targets?.

How did the types and weights of munitions dropped change over the course of WWII? How do these changes correspond to major military events?.

What types and weights of munitions were dropped during World War II (WWII)? What patterns can we discern in the use of different types of munitions?.

We’ll use Bokeh and Pandas to address some of the following questions: This file is required to complete most of the examples below. The dataset used in this tutorial is contained in thor_wwii.csv.

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The unabridged dataset is available for download here. These columns are discussed below when we first load the data. To make this dataset more manageable for our purposes, this has been reduced to 19 columns that include core mission information and bombing data.

The original, full-version of the dataset consists of 62 columns of information digitized from the paper forms. The THOR data dictionary provides detailed information on the structure of the dataset.įor this tutorial, we’ll use a modified version of the WWII THOR dataset. This information can include the mission date, takeoff and target locations, the target type, aircraft involved, and the types and weights of bombs dropped on the target. THOR is made publicly available through a partnership between the US Department of Defense and data.world.Įach row in the THOR dataset contains information on a single mission or bombing run. The records were compiled from declassified documents by Lt.

The Theater History of Operations Reports (THOR) lists aerial bombing operations during World War I, World War II, the Korean War, and the Vietnam War undertaken by the United States and Allied Powers. To reach these goals, we’ll work through a variety of visualization examples using THOR, a dataset that describes historical bombing operations. Add varying types of interactivity to your visualizations.Visualize quantitative, categorical, and geographic data for web display.Perform basic data manipulation, such as aggregating and sub-sampling raw data.Specifically, we will work through visualizing and exploring aspects of WWII bombing runs conducted by Allied powers.Īt the end of the lesson you will be able to:

#Pandas serise vstack how to#

In this tutorial, you will learn how to do this in Python by using the Bokeh and Pandas libraries. The ability to load raw data, sample it, and then visually explore and present it is a valuable skill across disciplines. Time-Series and Annotations: Bombing Operations over Time.Stacked Bar Charts and Sub-sampling Data: Types of Munitions Dropped by Country.Categorical Data and Bar Charts: Munitions Dropped by Country.

Bokeh and Pandas: Exploring the WWII THOR Dataset.Creating a Python 3 Virtual Environment.