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GitHub / Trigenaris / Tutorial-for-Data-Literacy-Pandas-Library-and-EDA

In this section we will cover the topics such as; how to handle and process the data, how to read it, how to visualize the data, what can we deduct from a dataset after the processes that we made and at the end we apply EDA(Exploration Data Analysis) on a valid dataset.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Trigenaris%2FTutorial-for-Data-Literacy-Pandas-Library-and-EDA
PURL: pkg:github/Trigenaris/Tutorial-for-Data-Literacy-Pandas-Library-and-EDA

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Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 604 KB
Dependencies parsed at: Pending

Created at: 12 months ago
Updated at: 11 months ago
Pushed at: 11 months ago
Last synced at: 11 months ago

Topics: data, data-analysis, data-analytics, data-literacy, data-visualization, eda, exploratory-data-analysis, pandas, pandas-dataframe, pandas-tutorial, python

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