kristoffergordon/dsutils

A repository containing boilerplate code and template for tasks often encounter when working with data science

DSK: Data Science Toolkit

DSK is a comprehensive toolkit designed to streamline various data science tasks, from data preprocessing to visualization. It aims to provide data scientists and analysts with a set of tools to efficiently handle data, perform exploratory analysis, and generate insightful visualizations.

Features

• Data Preprocessing: Functions to clean and prepare data for analysis, including handling missing values and reducing memory usage.
• Visualization: A suite of visualization tools built on top of matplotlib and seaborn for creating informative plots easily.

Installation

DSK is available on PyPI. You can install it using pip:

pip install dsk

Usage

Import the DSK package and use its modules as follows:

import pandas as pd
from dsk import data, plots

# Example: Load and preprocess data
df = pd.read_csv('your_dataset.csv')
df_overview = data.data_overveiw(df)

# Example: Visualize data distribution
plots.plot_distribution(df, 'your_feature_column')

dsutils's Issues

Update data_overview to be able to handle columsn containing lists