In this post today I am going explaining you about another GitHub repository i.e. Time Series Visualizer. This Time Series Visualizer provides a filling world map by country from CSV or JSON file.
Time series visualizer is a flexible extension that provides filling world map by country from CSV or JSON file.
You can know data value through shades of colour.
For example, in the below gif, simulate data from the countries to view the COVID-19 recover cases of the world from real data. The larger the cases are, the darker the color is-
Also, provide a simple convert script from CSV to JSON. (Required input format).

Quickstart:
Only support json
format for the release Changes the variables in this file.
date_key = "Date column name" country_key = "Country column name" value_key = "Value column name"
Run command to export to JSON format:
$ python csv2json.py --csv <path-to-csv>
where:
<path-to-csv>
: path to the input csv file.
Example CSV:
Date | Country | Value |
---|---|---|
ddmmyyyy | Vietnam | x |
Download the latest build version from here.
Copy <json-file>
to the visualizer data folder.
./
├─ tools/
│ ├─ input.csv
├─ release/
│ ├─ visualizer_data/
│ │ ├─ data.json
├─ │ ...
│ ├─ visualizer.exe
Execute visualizer.exe
to render world map.