README.md

metadata

license: cc-by-4.0
language:
  - en
tags:
  - air-quality
  - india
  - cpcb
  - pollution
  - environment
  - aqi
  - cleaned
  - machine-learning
pretty_name: VAYU — Cleaned & Model-Ready CPCB Air Quality Data (India)
size_categories:
  - 100K<n<1M

VAYU — Cleaned and Model-Ready CPCB Air Quality Data

Cleaned, feature-engineered, and split datasets ready for ML training.
Produced by the VAYU data preparation pipeline from raw CPCB sensor data.

Contents

Folder	File	Use With
05_shared/	master_cleaned.parquet	All models — primary cleaned file
05_shared/	master_cleaned.csv	Same, human-readable backup
01_regression/	regression_train.csv	Linear Regression, Multiple Regression
01_regression/	regression_test.csv	Linear Regression, Multiple Regression
02_classification/	clf_train_scaled.csv	Logistic Regression, KNN, SVM
02_classification/	clf_train_unscaled.csv	Decision Trees, Random Forest
02_classification/	clf_test_scaled.csv	Logistic Regression, KNN, SVM
02_classification/	clf_test_unscaled.csv	Decision Trees, Random Forest
02_classification/	label_map.json	Decode integer predictions to category names
03_clustering/	city_profiles_scaled.csv	K-Means clustering
03_clustering/	city_clusters.csv	City cluster assignments + labels
04_dimensionality/	pollutant_matrix_scaled.csv	PCA, t-SNE, SVD
04_dimensionality/	pca_components.csv	Pre-computed PCA coordinates
04_dimensionality/	pca_loadings.csv	Component loadings + variance explained
04_dimensionality/	tsne_sample.csv	t-SNE 2D coordinates (15k sample)

Cleaning Operations Applied

1. Sentinel value 999 → NaN (CPCB sensor error code)
2. Physical range validation per pollutant (unit-aware — CO stored as µg/m³)
3. Forward fill short gaps ≤ 3 hours within each city
4. Drop rows where all pollutants are NaN (extended outages)
5. Deduplicate on city + datetime
6. Parse datetime, extract month / hour / day_of_week / season
7. Derive AQI_category from numeric AQI using CPCB breakpoints

Target Variables

Task	Target	Range
Regression	AQI (numeric)	0 – 500
Classification	AQI category (integer encoded)	0 = Good → 5 = Severe
Clustering	None (unsupervised)	—

Related Repository

Raw source data: rachitgoyell/vayu-raw