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Practice Session 1 For the practice sessions, you will follow the same model as done for the previous course in R programming language. Follow the

Practice Session 1
For the practice sessions, you will follow the same model as done for the previous course in R programming language. Follow the faculty's lead in the Descriptive Analysis in Python session and carry out basic descriptive statistical analysis on the Facebook Friends dataset.
1. Load the dataset into the Jupyter Notebook and carry out data examination, including the following:
a. Data type and structure
b. Statistical summary of all attributes
c. Breakdown of the data by variables
2. Visualize the data, including the following:
a. Frequency/Distribution plots
b. Univariate and Multivariate plots
FacebookFriends.xlsx
Excel column names:
Sample Age Photos # of Tags Albums Gender Emp Profile Cover Orientation Relationship Posts Replies Children Likes Edu Events Friends
1577275111011103210068
Photos # of Photos
# of Tags # of photos individual is tagged in
Albums # of Albums
Gender (Male=1; Female=0)
Emp '1' if individual is listed as working., '0' if Unemployed
Profile To identify the individual on the webpage, does the individual use a picture of himself (=1) or of something else (=0) on the PROFILE Picture.
Cover To identify the individual on the webpage, does the individual use a picture of himself (=1) or of something else (=0) on the COVER.
Orientation Sexual orientation of the individual: heterosexual (=1), not heterosexual (=0)
Relationship (In a relationship =1; Not in a relationship =0)
Posts This indicates thetotal number of posts on their 'timeline' last month.
Replies This indicates the total number of replies from the individual themself on their 'timeline' last month.
MidWest 1 if individual lists their current location residing in a state located in the Midwestern region of the U.S.,0 otherwise.
Seast 1 if individual lists their current location residing in a state located in the Southeastern region of the U.S.,0 otherwise.
West 1 if individual lists their current location residing in a state located in the Western region of the U.S.,0 otherwise.
Children (Children=1; No Children =0)
Likes # of 'Likes' visible on main page
Edu 1 if individual lists only a High School education or less., otherwise 0.
Events # of events listed
USA (Lives in the USA =1; lives ouside USA =0)
Response variable (y) Friends # of Friends
Background: Data were collected to allow students to create a regression model which might predict the number of friends an individual user of Facebook social network should have based on certain attributes of that individual. An individual is defined as a person registered within the Facebook.com community and 'owning' a personal webpage in that community. Attributes are characteristics of which values can be obtained by viewing that individual's webpage. Friends are defined as individuals who have consciously agreed to have a relationship together in the community which allows the two parties greater communication and availability between webpages. Data came from 40 students in a second semester business statistics course, based on a random selection of 21 of their Facebook 'friends.' Some data were missing or incomplete so that n =715(instead of 40 x 21=840) The database was organized by the instructor, Amy Sheikh. This database is intended purely for statistical education, and may not be distributed or published without prior written permission.

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