World Bank Data Visualization Tool

Installation

To run this World Bank Data Visualization Tool, you need to install crosscompute. Use the following command to install:

pip install crosscompute

Usage

1. Clone this repository to your local machine.

2. Navigate to the root of the repository in your terminal.

3. Run the following command to start the tool:

crosscompute

A web page will be opened, and you'll see something in the terminal like:

20240223-003625 INFO serving at http://127.0.0.1:7000

click on the provided link if your browser did not open automatically.

Inputs and Outputs

Inputs

• Series Code: A unique code representing the type of data you want to visualize (e.g., population, GDP, surface area).
• Value Column: The specific column in your spreadsheet containing data values corresponding to the series code (e.g., "2000 [YR2000]").
• Figure Title: A title for your map, providing context for the visualized data.
• Legend Text: A description for the legend on your map, aiding viewers in understanding the color scale.
• Min and Max Colors: Choose the colors representing the minimum and maximum values on your map.
• CSV File: Your data source, following a format similar to the World Bank Data spreadsheet.

Fill the fields or leave the predefined data

Use this dataset to test the tool.

Data Format The tool is flexible and can work with various spreadsheet formats. As an example, consider the World Bank Data format:

Country Name    Country Code    Series Name                              Series Code       2000 [YR2000]   2001 [YR2001]
United States    USA             Population, total                         SP.POP.TOTL       282162411       284968955
United States    USA             Population growth (annual %)              SP.POP.GROW       1.112768997     0.989741382
United States    USA             CO2 emissions (metric tons per capita)    EN.ATM.CO2E.PC    20.46979674     20.17153693
...
...

Feel free to adapt the series code and value column based on your data structure.

Outputs

Generate Map: Click the "continue" button to create a customized, color-coded map. Download: Once generated, a downloadable image link will be provided. Save the image for sharing or inclusion in your reports.

Feel free to experiment with different datasets and spreadsheet structures for your specific needs.