https://github.com/ilovenooodles/probstat-water-potability

Tugas Besar Probabilitas dan Statistika 1
https://github.com/ilovenooodles/probstat-water-potability

csv data-analysis jupyter-notebooks python

Last synced: 3 months ago
JSON representation

Tugas Besar Probabilitas dan Statistika 1

• Host: GitHub
• URL: https://github.com/ilovenooodles/probstat-water-potability
• Owner: IloveNooodles
• Created: 2022-03-30T10:25:26.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-04-16T13:02:20.000Z (over 4 years ago)
• Last Synced: 2025-03-31T04:09:19.842Z (over 1 year ago)
• Topics: csv, data-analysis, jupyter-notebooks, python
• Language: Jupyter Notebook
• Homepage:
• Size: 3.49 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Tugas besar 1 Probabilitas dan Statistika IF2220 - Water Potability Analysis

This repository made for fulfill Tugas Besar 1 Probability and Statistic IF2220. Analyzing data of the Water Potability to gain insight from the data and to check the correct hyphothesis using pandas, matplotlib, numpy, ztest, and proporsion_ztest

## Authors

| Nama                           | NIM      |

| ------------------------------ | -------- |

| Muhammad Garebaldhie ER Rahman | 13520029 |

| Fikri Khoiron Fadhila          | 13520056 |

## Tech Stack Used

1. [pandas](https://pandas.pydata.org/)

2. [nupmy](https://numpy.org/)

3. [matplotlib](https://matplotlib.org/)

4. [scipy](https://scipy.org/)

5. [statsmodels](https://www.statsmodels.org/)

## Screenshot

![image](https://user-images.githubusercontent.com/63847012/163216449-eb9ee6f5-d825-4df0-8224-a1daa545435c.png)

![image](https://user-images.githubusercontent.com/63847012/163216643-dc4e1ded-09e3-47d9-87c0-5294e0c3b526.png)

![image](https://user-images.githubusercontent.com/63847012/163216699-b94aec31-ecf8-4476-b13c-32d6f4609c91.png)

## General Information & Features

This repository contains analysis from lot of perspective like descriptive statistics like mean, standard deviation, range, variance, etc. This repository also check wheteher the column distributed normally or not and graph them. This repository also contains hipothesis checking for 1 sample and 2 sample and lastly contains correlation test between the column and the target