https://github.com/upes-open/open-cryptocurrency-analysis
A web app to visualise and predict the cryptocurrency’s impact by using Web scraping, data exploration, EDA and Data Visualization.
https://github.com/upes-open/open-cryptocurrency-analysis
analysis cryptocurrency data-analysis data-science data-visualization jupyter-notebook streamlite visualization
Last synced: about 1 year ago
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A web app to visualise and predict the cryptocurrency’s impact by using Web scraping, data exploration, EDA and Data Visualization.
- Host: GitHub
- URL: https://github.com/upes-open/open-cryptocurrency-analysis
- Owner: upes-open
- Created: 2022-03-12T14:07:35.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-01-26T11:04:16.000Z (over 3 years ago)
- Last Synced: 2024-05-02T03:37:40.335Z (about 2 years ago)
- Topics: analysis, cryptocurrency, data-analysis, data-science, data-visualization, jupyter-notebook, streamlite, visualization
- Language: Jupyter Notebook
- Homepage: https://open-crypto-dashboard.herokuapp.com/
- Size: 280 KB
- Stars: 0
- Watchers: 1
- Forks: 9
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Open-Cryptocurrency-Analysis
Utilizing artificial intelligence to analyze cryptocurrency's
impact. All the way from scraping data, to data exploration and
performing EDA, to data visualization and hosting.
## Project Structure
├── LICENSE
├── README.md <- The top-level README for developers/collaborators using this project.
├── original <- Original Source Code of the challenge hosted by OPEN. Can be used as a reference code for the current project goal.
│
├── reports <- Folder containing the final reports/results of this project
│ └── README.md <- Details about final reports and analysis
│
├── src <- Source code folder for this project
│
├── data <- Datasets used and collected for this project
│
├── visualizations <- Individual code and Visualization in Jupyter notebook
│
├── Streamlite <- Individual code and Visualization dashboards generated for the project
│
└── results <- Folder to store Final analysis and modelling results and code.
## Project Setup
Open the Command line or Terminal
- Clone the repository
```
git clone https://github.com/upes-open/Open-Cryptocurrency-Analysis
```
- Move to the folder
```
cd Open-Cryptocurrency-Analysis
```
- To open with VSCode
```
code .
```
- To open with jupyter notebook (or maually open using jupyter notebook app)
```
jupyter notebook
```