feat: chart for splits set events

drips/charts/README.md

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+# Charts
+
+> Charts based on the CSVs in [`../csvs/`](../csvs/)
+
+## Run the Python code
+
+```python
+python generate-charts.py
+```

drips/charts/generate-charts.py

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+import matplotlib.pyplot as plt
+import os
+import pandas
+
+repos = [
+    # engineering.elimu.eth
+    'content-provider',
+    'keyboard',
+    'kukariri',
+    'ml-event-simulator',
+    'ml-storybook-reading-level',
+    'ml-storybook-recommender',
+    'model',
+
+    # reading.engineering.elimu.eth
+    'VoltAir',
+    'familiar-word-reading',
+    'herufi',
+    'image-picker',
+    'silabi',
+    'sound-cards',
+    'storybooks',
+    'visemes',
+    'vitabu',
+    'walezi-android',
+
+    # writing.engineering.elimu.eth
+    'chat',
+    'handwriting-letters',
+    'handwriting-numbers',
+
+    # math.engineering.elimu.eth
+    'CameraColorPicker',
+    'android_packages_apps_Calculator',
+    'missing-number',
+    'nambari',
+    'nyas-space-quest',
+    'nyas-space-quest-qd',
+    'shapi',
+    'soga',
+    'tilt-game'
+]
+for repo in repos:
+    print()
+    print('repo:', repo)
+
+    csv_path = f'../csvs/splits_{repo}.csv'
+    print('csv_path:', csv_path)
+    if not os.path.isfile(csv_path):
+        print('\033[93m' + 'File not found' + '\033[0m')
+        continue
+
+    splits_csv = pandas.read_csv(csv_path)
+    print('splits_csv: \n', splits_csv)
+    print('splits_csv.columns:', splits_csv.columns)
+    print('splits_csv.columns[1:]:', splits_csv.columns[1:])
+
+    # splits_set_event_blocks = [18533142, 19533142, 20533142, 21533142, 22533142]
+    splits_set_event_blocks = splits_csv.columns[1:].values
+    print('splits_set_event_blocks:', splits_set_event_blocks)
+
+    # ethereum_addresses = [
+    #     '0x5D388Ec24Cc2C0C77458338696aa63AFB706A7b1',
+    #     '0xd46Cc93E3eE6a4fb532D9B48E95be7eD8f8f1DA0',
+    #     '0x0000000000000000000000000000000000000000'
+    # ]
+    ethereum_addresses = splits_csv['ethereum_address'].values
+    print('ethereum_addresses: \n', ethereum_addresses)
+
+    # impact_percentages = [
+    #     [30, 30, 35, 40, 30],
+    #     [45, 45, 35, 35, 50],
+    #     [25, 25, 30, 25, 20]
+    # ]
+    impact_percentages = splits_csv[splits_set_event_blocks].values
+    print('impact_percentages: \n', impact_percentages)
+
+    plt.figure(figsize=(12.8, 4.8))
+    plt.stackplot(splits_set_event_blocks, impact_percentages, labels=ethereum_addresses)
+    plt.legend(loc='center left', bbox_to_anchor=(1, 0.5))
+    plt.tight_layout()
+    plt.savefig(f'splits_{repo}.png')

drips/csvs/.gitignore

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+node_modules
+*.js

drips/csvs/README.md

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+# CSVs
+
+> CSVs with data per split event
+
+## Install Dependencies
+
+```bash
+npm install
+```
+
+## Run the TypeScript Compiler
+
+```bash
+npx tsc
+```
+
+## Run the JavaScript
+
+```bash
+node query-events.js
+```