- Objective
- Type of data set (say satellite image), Source of data , Time scale of data (say data considered between 1 Jan, 1990 to 31 Dec, 1999)
- Explanation working of algorithm(Please refrain from plagiarism from GitHub or similar sources)
- Inputs
- Outputs
- Mention the softwares used
- Work done till date and expected final output
- References
| S.No. | Task | Phase | Progress | Comments |
|---|---|---|---|---|
| 1. | Data Analysis | |||
| Exploring data | Phase 1 | Done | ||
| Check for missing values in data | Phase 1 | Done | ||
| Visualising AQI and pollutants in India over the years | Phase 1 | Done | ||
| 2. | Cities | |||
| Where does Delhi stand when it comes to pollution levels? | Phase 1 | Done | ||
| Visualising Delhi AQI and pollutant levels | Phase 1 | Ongoing | ||
| 3. | Preprocessing | |||
| Handle Missing Values | ||||
| Removing outliers - 2020 pandemic data or keep it to analyse the effect of pandemic on air quality? |