Skip to content

Exploratory Data Analysis (EDA) for Facebook user data using matplotlib & Seaborn

License

Notifications You must be signed in to change notification settings

tejasmagia/DataExploratoryAnalysis_Facebook-User-Data

Repository files navigation

Tejas Magia DS Foundation course Assignment.

Domain: Social Network Project: Facebook data

Dataset contains pseudo Facebook data. Attribute Information: Userid : ID of user Age: User’s age(years) dob_day : Day of date of birth(1-31) dob_year : Year of date of birth dob_month:Monthofdateofbirth gender : M/F tenure : How long have facebook users been on site friend_count : Total number of friends friendships_initiated:Friendrequestssent likes : Total number of likes by user likes_received : Total number of likes received by user mobile_likes : Number of likes by user(through mobile) mobile_likes_received:Numberoflikesreceivedbyuser(throughmobile) www_likes : Number of likes by user(through desktop website) www_likes_received :Numberoflikes receivedbyuser(throughdesktop)

Exploration ideas: Date of birth analysis Friend count analysis Tenure analysis Data transformations Frequency polygons, Boxplots

About

Exploratory Data Analysis (EDA) for Facebook user data using matplotlib & Seaborn

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published