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https://github.com/akash1070/covid-19-dasboard-for-berlin-city

Building And Deploying Covid 19 Dashboard for Berlin On Steamlit
https://github.com/akash1070/covid-19-dasboard-for-berlin-city

covid-19 pycharm-ide python3 steamlit

Last synced: 12 days ago
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Building And Deploying Covid 19 Dashboard for Berlin On Steamlit

Host: GitHub
URL: https://github.com/akash1070/covid-19-dasboard-for-berlin-city
Owner: Akash1070
License: mit
Created: 2022-09-16T07:37:30.000Z (about 2 years ago)
Default Branch: main
Last Pushed: 2022-09-16T08:49:54.000Z (about 2 years ago)
Last Synced: 2024-10-11T02:41:24.445Z (about 1 month ago)
Topics: covid-19, pycharm-ide, python3, steamlit
Language: Python
Homepage:
Size: 1.25 MB
Stars: 0
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        
# **Building And Deploying Covid-19 Dashboard For Berlin On Steamlit**

![Python 3.6](https://img.shields.io/badge/Python-3.6-brightgreen.svg)

![matplotlib.pyplot](https://img.shields.io/badge/Library-matplotlib.pyplot-orange.svg)

![mplcyberpunk](https://img.shields.io/badge/Library-mplcyberpunk-blue.svg)

![Numpy](https://img.shields.io/badge/Library-numpy-red.svg)

![streamlit](https://img.shields.io/badge/Library-streamlit-white.svg)

This dashboard provides daily updates of the 7-day-incidence (number of cases per 100,000 inhabitants), the rolling 7-day-average number of new cases and the raw number of new reported Covid-19 cases.

You may select the districts to view and compare.

The data are the latest official figures provided by the Berlin government, 

sourced from [berlin.de](https://www.berlin.de/lageso/gesundheit/infektionsepidemiologie-infektionsschutz/corona/tabelle-bezirke-gesamtuebersicht/).

If you want to view the deployed model, click on the following link:http://localhost:8501/

## Authors

- [@Akash Kumar Jha](https://github.com/Akash1070)

## Deployment

    1. Data Extraction

    2. Exploratory Data Analysis(EDA)

    3. Feature Engineering

    4. Model Building and Tuning

    5. Building Steamlit API

    6. Deploy App On Pycharm IDE

## Installation

To install the libraries used in this project. Follow the 

below steps:

```bash

import streamlit as st

import pandas as pd

import matplotlib.pyplot as plt

import mplcyberpunk

from PIL import Image

```

    

## Running Flask Api

To run tests, run the following command

```bash

  python app.py

```

## Demo

[Click HERE To View App](http://localhost:8501/)

## Preview

![Click HERE To View](https://github.com/Akash1070/Covid-19-Dasboard-for-Berlin-City/blob/main/Preview.png)

## 🚀 About Me

Data Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data 

# Hi, I'm Akash! 👋

## 🔗 Links

[![github](https://img.shields.io/badge/github-000?style=for-the-badge&logo=ko-fi&logoColor=white)](https://github.com/Akash1070)

[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/akashkumar107/)

## Other Me

👩‍💻 I’m interested in Petroleum Engineering

🧠 I’m currently learning Data Scientist | Data Analytics | Business Analytics

👯‍♀️ I’m looking to collaborate on Ideas & Data

## 🛠 Skills

1. Data Scientist

2. Data Analyst

3. Business Analyst

4. Machine Learning 

## Future Plans 

⚡️ Looking forward to help drive innovations into your company as a Data Scientist

⚡️ Looking forward to offer more than I take and leave the place better than i found