mcdowell-dataset-analysis 0.2.0

A library for analyzing Jonathan McDowell's datasets.

See the website for this project here: https://ckalitin.github.io/space/2025/06/08/space-industry-charts.html

TODO

1. Standardize launch vehicle charts into one script (two for single vehicle and vehicle family)
2. Line charts (eg. launches per country or pad)
3. Pie charts
4. Launch Types
   • Small sat payload type
   • Small sat operator type
   • General operator type?
   • F9 payload type
5. F9 Booster Launches Line Chart
6. ULA charts (really haven't launched more than once a month for a decade?)
7. Error message for nothing in dataframe after filters

Types of charts:

• Launch Provider charts
• Country payload & launches charts
• Launches by launch pad (for all existing types of charts)

Block Diagram

Drawio Google Drive Link

Installation

Install from PyPI

The easiest way to install the package is via PyPI:

pip install mcdowell-dataset-analysis

Local Installation (Optional)

For modifying the code locally, without having to deal with PyPI every time you make a change:

1. Clone the repository:

   git clone https://github.com/CKalitin/mcdowell-dataset-analysis.git
   cd mcdowell-dataset-analysis
   

2. Install in editable mode (remember the dot at the end!!):

   pip install -e .
   

   If using Github desktop, run only this command in the base directory of this repo in the VS Code terminal.

Dependencies

The package requires:

• pandas>=2.0.0
• matplotlib>=3.5.0
• plotly>=5.0.0

These are automatically installed when you use pip.

Updating Datasets

The datasets currently have data up until July 30 2025.

To update the datasets, you can use the update_datasets.py script. This script fetches the latest data from Jonathan McDowell's website and updates the local TSV files.

If the script fails, manually download the datasets as instructed in How-To-Update-Datasets.md.