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https://github.com/zenklinov/rainfall-time-series-descriptive

Descriptive about Rainfall Time Series of NASA Power
https://github.com/zenklinov/rainfall-time-series-descriptive

2d-line-chart descriptive-statistics east-java heatmap rainfall

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Descriptive about Rainfall Time Series of NASA Power

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# Rainfall Time Series Descriptive

This repository contains notebooks and data related to descriptive analysis of rainfall time series data. The analysis includes graphical representations and statistical summaries to understand the patterns and variations in rainfall over time.

## Notebooks

### 1. 2D Graphic Rainfall Average per Month.ipynb
This notebook utilizes data sourced from [NASA Power](https://github.com/zenklinov/nasapower) (`nasa_power_data_filtered_within.xlsx`) to create 2D graphical representations of average rainfall per month.

### 2. analisisdeksriptif(heatmap_rata-rata_total_per_bulan).ipynb
Utilizes data from [rata-rata-varians-curah-hujan.xlsx](rata-rata-varians-curah-hujan.xlsx) to perform descriptive analysis, including generating heatmaps for total rainfall averages per month.

## Data Sources

- **NASA Power Data**:
- The data used in `2D Graphic Rainfall Average per Month.ipynb` is sourced from [NASA Power](https://github.com/zenklinov/nasapower).
- File: `nasa_power_data_filtered_within.xlsx`.

- **Rainfall Data**:
- The data used in `analisisdeksriptif(heatmap_rata-rata_total_per_bulan).ipynb` is sourced directly from this repository.
- File: [rata-rata-varians-curah-hujan.xlsx](rata-rata-varians-curah-hujan.xlsx).

## Shapefiles

- **Geometric Shapefiles**:
- The geometric shapefiles used are contained in RAR files from `Indo and Jatim Kab_Kot SHP 2019.part01.rar` to `Indo and Jatim Kab_Kot SHP 2019.part06.rar`.
- These shapefiles represent Indonesia and Jawa Timur Kabupaten/Kota (districts) for the year 2019.
- Source: [NASA Power](https://github.com/zenklinov/nasapower/).

## Contributors
**zenklinov**

[![zenklinov](https://avatars.githubusercontent.com/zenklinov?s=100)](https://github.com/zenklinov)

Feel free to explore the notebooks and data provided in this repository for insights into rainfall time series analysis. If you have any questions or suggestions, please feel free to reach out to the contributors.