Buildlytics
A comprehensive way to make your Exploratory data analysis process easy by using our package
Install / Use
/learn @Data-Science-Community-SRM/BuildlyticsREADME
Preview
- Preview of our package <img src="https://github.com/Data-Science-Community-SRM/buildlytics/blob/master/Images/Screenshot%20from%202021-02-25%2022-52-32.png" width=40%/>
<br><br> <img src="https://github.com/Data-Science-Community-SRM/buildlytics/blob/master/Images/Screenshot%20from%202021-02-25%2022-52-08.png" width=40%/> <br><br> <img src="https://github.com/Data-Science-Community-SRM/buildlytics/blob/master/Images/Screenshot%20from%202021-02-25%2022-52-13.png" width=40%/>
Functionalities
The module contains DataFrameSummary function which takes dataframe in its parameter
- properties
- dfs.columns_stats: counts, uniques, missing, missing_perc, and type per column etc.
- dsf.columns_types: a count of the types of columns
- dfs[column]: more in depth summary of the column <br>
Instructions to run
-
Pre-requisites:
- Install Pandas, Seaborn, Matplotlib
- Install Python
The module can be easily installed with pip:
!pip3 install buildlytics --upgrade
The DataFrameSummary expect a pandas DataFrame to summarise.
from pandas_summary import DataFrameSummary
dfs = DataFrameSummary(tips)
To get the columns types
dfs.columns_types
bool 3
numeric 3
categorical 1
Name: types, dtype: int64
To get the overall columns stats
dfs.columns_stats
total_bill tip sex smoker day time size
counts 244 244 244 244 244 244 244
uniques 229 123 2 2 4 2 6
missing 0 0 0 0 0 0 0
missing_perc 0% 0% 0% 0% 0% 0% 0%
types numeric numeric bool bool categorical bool numeric
To get the particular column stats
dfs['total_bill']
mean 19.7859
std 8.90241
variance 79.2529
min 3.07
max 50.81
mode 13.42
5% 9.5575
25% 13.3475
50% 17.795
75% 24.1275
95% 38.061
iqr 10.78
kurtosis 1.21848
skewness 1.13321
sum 4827.77
mad 6.86944
cv 0.449936
zeros_num 0
zeros_perc 0%
deviating_of_mean 4
deviating_of_mean_perc 1.64%
deviating_of_median 12
deviating_of_median_perc 4.92%
top_correlations tip: 67.57%
counts 244
uniques 229
missing 0
missing_perc 0%
types numeric
Name: total_bill, dtype: object
To get the heatmap
dfs._get_heatmap(tips) //tips is the dataframe
To get the pairplot
pairplot=DataFrameSummary(tips)
pairplot._get_pairplot()
To get the scatterplot
dfs._get_scatterplot(tips['total_bill'],tips['tip'],tips['day'])
Contribute to this package
For Maintainers:
Guide for adding new features:
-
You need to download the zip file for this project
-
Download the package : buildlytics using pip3
-
Whatever changes you make to the code will only be reflected if package is updated with your changes, so, incase you are not the maintainer on PyPi , drop a message in the discord group.
-
Update the version before uploading in setup.py
For uploading version changes type the following in terminal of the downloaded folder :
python3 setup.py sdist
twine upload dist/*
For Open Source Contributors
- Open a Pull request
- State the new feature you are proposing to add or issue you are solving clearly
- Wait for us to approve it. :wink:
Notebooks
You can find the notebook <a href="https://github.com/Data-Science-Community-SRM/buildlytics/blob/master/Experiment-NBS/Experiment-Package.ipynb">here</a>
<h1 align="center"> Project Maintainers </h1> <table align="center"> <tr align="center"> <td>Akshat Anand
<p align="center"> <img src = "https://github.com/hritikbhandari/ReCo.Ai/blob/master/images/Akshat.jpg" height="120" alt="Your Name Here (Insert Your Image Link In Src"> </p> <p align="center"> <a href = "https://github.com/cipheraxat"><img src = "http://www.iconninja.com/files/241/825/211/round-collaboration-social-github-code-circle-network-icon.svg" width="36" height = "36"/></a> <a href = "https://www.linkedin.com/in/akshatanand1999"> <img src = "http://www.iconninja.com/files/863/607/751/network-linkedin-social-connection-circular-circle-media-icon.svg" width="36" height="36"/> </a> </p> </td> <td>Tarushi Pathak
<p align="center"> <img src = "https://tarushi98.github.io/3.jpg" height="120" alt="Your Name Here (Insert Your Image Link In Src"> </p> <p align="center"> <a href = "https://github.com/tarushi98"><img src = "http://www.iconninja.com/files/241/825/211/round-collaboration-social-github-code-circle-network-icon.svg" width="36" height = "36"/></a> <a href = "https://www.linkedin.com/in/tarushi-pathak-6b7b5b177/"> <img src = "http://www.iconninja.com/files/863/607/751/network-linkedin-social-connection-circular-circle-media-icon.svg" width="36" height="36"/> </a> </p> </td> </tr> </table> <h2 align="center"> Contributors </h2> <table align="center"> <tr align="center"> <td>Stuti Sehgal
<p align="center"> <img src = "https://github.com/Data-Science-Community-SRM/buildlytics/blob/master/Images/me.jpg" height="120"> </p> <p align="center"> <a href = "https://github.com/stutisehgal"><img src = "http://www.iconninja.com/files/241/825/211/round-collaboration-social-github-code-circle-network-icon.svg" width="36" height = "36"/></a> <a href = "https://www.linkedin.com/in/stutisehgal"> <img src = "http://www.iconninja.com/files/863/607/751/network-linkedin-social-connection-circular-circle-media-icon.svg" width="36" height="36"/> </a> </p> </td> <td>Soumya Snigdha Kundu
<p align="center"> <img src = "https://media-exp1.licdn.com/dms/image/C5603AQGoZeQyhZ_bHQ/profile-displayphoto-shrink_400_400/0/1613590285777?e=1620259200&v=beta&t=3ced-DD7g3vEcFG_1_DXTj8vMpM4M9V4HGbJWkvYO4o" height="120"> </p> <p align="center"> <a href = "https://github.com/aymuos15"><img src = "http://www.iconninja.com/files/241/825/211/round-collaboration-social-github-code-circle-network-icon.svg" width="36" height = "36"/></a> <a href = "https://www.linkedin.com/in/soumya-snigdha-kundu-84b812183/"> <img src = "http://www.iconninja.com/files/863/607/751/network-linkedin-social-connection-circular-circle-media-icon.svg" width="36" height="36"/> </a> </p> </td> </tr> </table>License
