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DataKind-BLR / PrathamBooks-Sprint-2018

Code and documentation for the collaboration with PrathamBooks during Sprint' 2018
MIT License
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Basic Exploratory Analysis of Stories Data #3

Closed arnabbiswas1 closed 6 years ago

arnabbiswas1 commented 6 years ago

stories_pages.csv consists of different attributes associated with each stories such as language, reading levels, number of reads, whether publisher created or community created. Basic EDA may be helpful to better understand the data. Following could be some interesting features to visualize:

"is_child_created_story","stories_status","ancestry","is_recommended_story","reads","language_name","organization_name""story_derivation_type","story_publishing_type","reading_level_cat"

The end result should be a notebook.

Considering the generic nature of the solution, multiple contributors can be involved. Please add a comment if you are working on it.

aparnack commented 6 years ago

I want to work on this. Thanks Aparna

arnabbiswas1 commented 6 years ago

@aparnack Here you go. However, if any one else is interested, please let us know. We can have multiple members owning the same issue.

githubssn commented 6 years ago

i would like to contribute to this task as well

arnabbiswas1 commented 6 years ago

@githubssn Here you go! 👍

arnabbiswas1 commented 6 years ago

This has been addressed as a part of https://github.com/DataKind-BLR/PrathamBooks-Sprint-2018/pull/11