Data Explorer

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  Heat Map for Missing Values

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  Correlation Heat Map

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  Scatter Graph

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  No Of Rows and Columns

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  Columns present in the Dataset

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  Dataset Info

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  Dataset Statistics

Inspiration

Working with the data requires knowing the Data and Data Explorer allows you to do so.

What it does

It takes in your Dataset as an Input and shows beautiful and illustrative graphs of the same.

How I built it

I used various python Libraries such as pandas, numpy, matplotlib, seaborn,sys, Sklearn, RandomForestClassifier to Visualize and Access the Data.

Challenges we ran into

Working with data can be fun as well as cumbersome at the same time. Working on a single dataset can be easy but taking the dataset as an input and working on them is something I tried my hands on the first time.

Accomplishments that I am proud of

Implementing Exploratory Data Analysis using advanced Python libraries for the very first time was a major Milestone for moving towards Python.

What I learned

Working with advanced and amazing Python libraries.

What's next for Data Explorer

Playing with Data was just a fun starting but there's a lot more to go with Python ...

Built With

• matplotlib
• numpy
• pandas
• python
• randomforestclassifier
• seaborn
• sklearn