https://github.com/farhad-here/data-visualization-analysis-dva

This is my data analysis project. Users can use this project to clean and preprocessing the date or data visualization. Individuals can impute or ecnode ther dataset.
https://github.com/farhad-here/data-visualization-analysis-dva

altair bokeh data-analysis data-analysis-python io matplotlib numpy pandas plotly python sklearn streamlit

Last synced: 3 months ago
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This is my data analysis project. Users can use this project to clean and preprocessing the date or data visualization. Individuals can impute or ecnode ther dataset.

• Host: GitHub
• URL: https://github.com/farhad-here/data-visualization-analysis-dva
• Owner: farhad-here
• License: mit
• Created: 2025-05-02T12:29:54.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2025-05-05T07:02:30.000Z (11 months ago)
• Last Synced: 2025-05-07T18:13:15.093Z (10 months ago)
• Topics: altair, bokeh, data-analysis, data-analysis-python, io, matplotlib, numpy, pandas, plotly, python, sklearn, streamlit
• Language: Python
• Homepage: https://dvadataanalysis.streamlit.app/
• Size: 181 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          

# 🧼 Data Analysis & Imputation Project

This project provides a complete workflow for cleaning, imputing, evaluating, sorting, and visualizing datasets. It is designed to help data analysts explore and prepare data for deeper insights and modeling.

## 🔧 Features

- ✅ **Imputation** – Handling missing values using statistical and model-based methods.

- 📊 **Evaluation** – Comparing imputation results and measuring their effectiveness.

- 🧽 **Cleaning** – Removing duplicates, fixing inconsistencies, and filtering out noisy data.

- 🔍 **Sorting & Filtering** – Organizing data for clearer analysis.

- 📈 **Visualization** – Generating informative charts using Matplotlib/Seaborn to identify trends.

- 🧑‍💻 **Streamlit UI** *(optional)* – Interactive interface to explore data visually.

# go to DVA WebApp

# 🧰 Install dependencies:

## download dataset

---

### DATASET

---

if an error occur for the bokeh library:

```bash

pip install --force-reinstall --no-deps bokeh==2.4.3

```

do not forget:

```bash

pip install -r requirements.txt 

```

# 🧪 Technologies Used

- python

- streamlit

- pandas

- numpy

- sklearn

- matplotlib

- bokeh

- altair

- plotly

- io

# 🏕️pic

![da1](https://github.com/user-attachments/assets/7115cba5-9bb1-4ee1-aa6b-bbc2d4424461)

![da2](https://github.com/user-attachments/assets/8a79045d-fec3-4d3d-aa17-750b2a82c2c2)

![da3](https://github.com/user-attachments/assets/42ee61c6-3f58-4ae6-9489-d3f4c5e6efe3)

![da4](https://github.com/user-attachments/assets/50ed4674-7d8c-4dbe-9c0c-5b11baebe79e)

![da5](https://github.com/user-attachments/assets/721f387a-dc21-49d8-9ae3-e193b34727b9)

![da6](https://github.com/user-attachments/assets/a442d074-b1dc-4888-8406-d891d841e46d)

![da7](https://github.com/user-attachments/assets/20b6fba6-6461-4dee-91de-dfdc04426aa4)

![da8](https://github.com/user-attachments/assets/eb50b407-7cad-49f5-8fd5-75d656f7e6aa)

![da9](https://github.com/user-attachments/assets/0b9898f8-367e-42b7-b0c9-396c024e20a1)

![da10](https://github.com/user-attachments/assets/7a170212-eaba-4804-bc31-38feb4e36f66)

![da11](https://github.com/user-attachments/assets/8aaf9bd2-6c71-4316-b348-207810f2421d)

![da12](https://github.com/user-attachments/assets/3f475d0e-1c07-4a83-a528-83b15327cd9f)

![da13](https://github.com/user-attachments/assets/1c907697-ba8a-4ce3-af9f-55e23886bdfc)

![da14](https://github.com/user-attachments/assets/c1c4a1c9-5c71-40bc-9076-d12aa894435a)

# 📌 Purpose

This project is ideal for practicing:

Real-world data preprocessing

Missing value treatment

Evaluation of imputation strategies

Clear and clean visualization for storytelling