ISRO Satellite Missions Dataset

This dataset contains comprehensive records of ISRO satellite missions including satellite name, launch date, launch vehicle, mission type, payload category, orbit type, and mission status where applicable. The dataset has been processed through a structured exploratory data analysis workflow including duplicate removal, date normalization, categorical standardization of launch vehicles and mission types, and validation of numeric attributes such as satellite weight or mission duration where available. Statistical anomaly detection was applied to ensure data consistency. The final dataset is exported in a clean CSV format optimized for mission trend analysis, aerospace research, and visualization workflows.

Data Quality

The dataset is structured in a normalized tabular format with consistent column naming and validated data types. Duplicate mission entries have been removed to preserve historical integrity. Launch dates were standardized to ensure chronological consistency. Categorical attributes such as orbit type and mission classification were normalized. Numeric attributes underwent range validation to eliminate unrealistic values. The dataset is analytics-ready and suitable for research modeling and time-series analysis.

Use Cases

This dataset can be used for analyzing ISRO’s mission frequency trends, satellite deployment evolution, and launch vehicle usage patterns. Researchers can study technological progress in payload capacity and mission diversity. Data scientists can build visualization dashboards and predictive models for launch frequency forecasting. Educational institutions can use it for aerospace research projects and historical mission analysis. It also supports policy analysis related to space sector growth.

Limitations

The dataset is community-sourced and may not reflect official ISRO archival documentation. Some mission attributes may be summarized rather than technically detailed. It may not include granular engineering specifications or classified mission details. The dataset is intended for research and analytical purposes and should not replace official space agency records.

Methodology

The dataset was prepared using a structured validation framework including schema normalization, duplicate removal, launch date formatting consistency checks, categorical normalization of mission types and launch vehicles, and numeric range validation where applicable. Statistical anomaly detection was applied to identify inconsistent mission records. The final dataset was exported in UTF-8 encoded CSV format to ensure compatibility with research tools, machine learning frameworks, and business intelligence platforms.