Member of team:
| Full name | StudentID |
|---|---|
| Đoàn Ánh Dương | 20127474 |
- Environment using:
min_ds-env. - External package:
- Plotly:
conda install plotly.
- Plotly:
archive/: Folder contains original files (unchanged files). Source I found on Kaggle by Sudalai Rajkumar.crypto_finance.csv: File combined from files in `archive/' directory.description.txt: Describe the meaning of each column in dataset.Final.ipynb: Source code of my project.Final.html: html view for prevention.Final.pdf: pdf view for prevention.README.md: please read me.
The dataset has one csv file for each currency. Price history is available on a daily basis from April 28, 2013. This dataset has the historical price information of some of the top crypto currencies by market capitalization, including Bitcoin, Etherium, Binance Coin,...
Unofficial information: Data Source is collected by scraping on coinmarketcap coin history.
The data is subjective...
- 100% by Đoàn Ánh Dương.
- Trello Link.
Pros:
- learning new knowledges, like interactive charts, finance, basic statistics...
- Understand clearly how strong pandas is,...
- The way to convert jupyter notebook to pdf, which characteristics to analyze, clean and preprocess data, read docs,...
- How to write
*.mdand git command. - Many things I faced to, but forgetting...
- I found some other fields I'm interested in; exploring myself, not only dataset.
Cons:
- The file size of
*.ipynbis too large (~7MB) and I don't know the issues, how to optimize its capacity. - The knowledge is limitless, I need to learn more and more.
- Many questions about crypto market, but I can't answer with these datasets: Distribution holders all over the world by each coin?, which coins have trust?...
- Documents of subject Code for Data Science - HCMUS.
- Searching functions on Plotly - Plotly Documentation.
- Searching functions on Pandas - Pandas Documentation.
- Searching seaborns - Seaborns.
- Searching some financial formula - Wall street.