https://github.com/moikapy/vargate-datasci
https://github.com/moikapy/vargate-datasci
Last synced: 11 months ago
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- Host: GitHub
- URL: https://github.com/moikapy/vargate-datasci
- Owner: Moikapy
- Created: 2018-03-03T19:31:49.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2018-03-30T04:52:15.000Z (about 8 years ago)
- Last Synced: 2025-05-22T10:56:37.121Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 18 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: Readme.md
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README
# Python Data Science Project for Code Louisville
###### How to Run
- cd ./to/root/of/dir
- run
- py index.py
- or jupyter notebook
###### Installed Python from www.anaconda.com
###### Please install these packages before running:
- jupyter notebook
- sqlite3
- matplotlib.dates
- matplotlib.pyplot
- numpy
- pandas
- plotly.graph_objs
- plotly.plotly
- seaborn
- from pandas.tools.plotting import table
###### Database
- All Data is Stored in:
- db/cryptoGG.db
### Current question I am Trying to Answer?
###### What do Bitcoin, Ethereum, and Ripple when compared to one another?
- To find this information I downloaded a few CSV from the kaggle website and began by merging the files into one data frame using a similar column, "Date". I then viewed the .head() of the new Data Frame to see if the files merged correctly and to note the new names of the columns. ex: "Close_x being file 1", "Close_y being file2", and "Close being file 3". After double checking my DF I then upload it to my SQLite Database which is updated each run. For each figure the DB is cleaned for comparison. This project contains a few sample results of the data I was able to gather.
- Figures used:
- Heatmap
- Pie Chart