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One-Line, Magical Code to Perform EDA!
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One-Line, Magical Code to Perform EDA!

Last Updated on April 24, 2021 by Editorial Team

Author(s): Daksh Trehan

Machine Learning, Exploratory DataΒ Analysis

One line solves all your problems!

β€œData is the new oil” ~ CliveΒ Humby

Data is an integral part of our life and unlike other resources it is inexhaustible but here comes a catch, it is only useful to your organization if you know how to mend it and get itsΒ gist.

Data Science is a process that includes: Collecting, Storing, Processing, Describing, and Modeling.

Processing, Describing/EDA(Exploratory Data Analysis) can be referred to as a lifecycle to get introduced to the data by finding relations among each variable and visualizing them to find hiddenΒ trends.

EDA accounts for a large amount of time and effort to clean and explore our data. Though in the field of data processing we still expect some advancements for Data Exploration there have been astounding improvements. Several open-source libraries have come up with a no-code or low-code method to help ease the exploration.

D-Tale is one such library, it is the combination of Flask back-end and React Front-end that brings up an interactive way to visualize and explore pandas dataΒ frame.

D-Tale makes sure you aren’t sick of performing df.head() recursively!

Implementing D-Tale

  1. Install D-Tale: Like any other Python Library you can easily install D-Tale by using β€œpip install dtale” in your commandΒ line.

2. Importing Relevant Libraries: Use Seaborn to load dataset and D-tale to visualize andΒ explore.

3. Chose a dataset: From pre-defined dataset in Seaborn chose anyΒ one.

4. Take basic insights of data: Use describe() method for theΒ same.

5. Use D-Tale: Load the data using D-Tale library and get interactive insights.

Tap on play button and chose β€œOpen in NewΒ Tab”:

There are 398 records and 9Β columns.

Features ofΒ D-Tale

All you Data in clean and elegantΒ way!

Look for Statistical Property of your dataset using β€œDescribe” button.

Summarize the data of relevant rows andΒ columns.

Remove Duplicate Values

Check the Correlation in your data for easy creation ofΒ charts.

The library helps you with agnostic score that helps to determine linear and non-linear relationship.

The most anticipating feature of D-Tale is its ability to create charts seamlessly.

It offers a wide variety of charts with data cleaning options that are personalized to each chartΒ type.

Another highlighting feature of D-Tale is that it allows you to create chart from the dashboard and directly import the code for theΒ same.

Heat maps can also be employed either on whole data or on particular columns.

You can also check statistical values for particular column and perform column analysis.

Perform Variance analysis on eachΒ column.

The user can also change the data of any particular record.

The above mentioned code can be found at: dakshtrehan/D-Tale-Exploration (github.com)

Conclusion

The article helped us to throw a light on extremely powerful EDA reporting tool: D-Tale. We saw how D-Tale make it super easy to create appealing visuals and explore theΒ data.

References:

dtale Β·Β PyPI

Data Exploration in Python With dtale Library (analyticsvidhya.com)

Introduction to D-Tale. Introduction to D-Tale for interactive… | by Albert Sanchez Lafuente | Towards DataΒ Science

Bring your Pandas Dataframes to life with D-Taleβ€Šβ€”β€ŠKDnuggets

Dtale Tutorialβ€Šβ€”β€ŠGuide To Visualize Pandas Data Structure (analyticsindiamag.com)

Social Network for Programmers and Developers (morioh.com)

Introduction to D-Tale Library. D-Tale is python library to visualize… | by Shruti Saxena | Analytics Vidhya |Β Medium

Feel free toΒ connect:

Portfolio ~ https://www.dakshtrehan.com

LinkedIn ~ https://www.linkedin.com/in/dakshtrehan

Follow for further Machine Learning/ Deep LearningΒ blogs.

Medium ~ https://medium.com/@dakshtrehan

Want to learnΒ more?

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The Inescapable AI Algorithm: TikTok
GPT-3 Explained to a 5-year old.
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Reinforcing the Science Behind Reinforcement Learning
Decoding science behind Generative Adversarial Networks
Understanding LSTM’s and GRU’s
Recurrent Neural Network for Dummies
Convolution Neural Network forΒ Dummies

Cheers


One-Line, Magical Code to Perform EDA! was originally published in Towards AI on Medium, where people are continuing the conversation by highlighting and responding to this story.

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