This module brings different functions to make EDA, data cleaning easier.
Project description
Data Inspector
This module brings different functions to make EDA, data cleaning easier.
Author: Kazi Amit Hasan
Project Description:
Data Inspector brings a total of 15 essential exploratory data analysis, data cleaning automations to make a dataset understandable. This is a perfect tool to get started with you data.
data inspector helps to make
Installation
pip install data-inspector
Available automation:
- Line plot :
line_plot(data, x_data, y_data, x_label="", y_label="", title="")
- Skew feature:
plot_skewed_feature(data, column)
- Showing data distribution:
show_distribution(data, column)
- Scatter plot:
plot_scatter(data,x_data, y_data)
- Correlation plot:
plot_correlation(data)
- Create histogram:
histogram(data,column, x_label, y_label, title)
- Create bar plot:
plot_bar(data, column, xlabel, ylabel, title)
- Create boxplots of all features:
box_plot(data)
- Checking dataset's shape:
datasetShape(data)
- Get dataset's diagnostic plots:
diagnostic_plots(data, variable)
- Divide numerical and categorical features:
divideFeatures(data)
- Fill NaN values:
fillNan(data, column, value)
- Get pearson's correlation between two variables:
get_correlation(column_1, column_2, data)
- Plotting kde plots:
plot_cont_kde(data, var)
- Automatic calculating the missing values and their percentage along with visualization :
calculating_missing_values(data)
Change Log
0.0.1 (20/08/2021)
- First Release
0.0.2 (20/08/2021)
- Minor updates
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
data-inspector-0.0.3.tar.gz
(5.2 kB
view hashes)
Built Distribution
Close
Hashes for data_inspector-0.0.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c3fc59cc7164586155470ae235a42f2f89201f4f2e5c8bac0f56ee2a5a164da5 |
|
MD5 | f53f73f98810a5a25570adeb3f653461 |
|
BLAKE2b-256 | 4693f029f3273219c44db7608d440982a0ffaa7c3db7b01a2b3b88054041691f |