Data
The-Office-Dataset

The-Office-Dataset

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Onur Yildirim
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
  • Computer Systems Machine Learning
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Context The Office is an American Mockumentary sitcom television series that depicts the everyday lives of office employees in the Scranton, Pennsylvania, branch of the fictional Dunder Mifflin Paper Company. Content The dataset consists of 12 columns and 188 rows scrapped from IMDb. Acknowledgements IMDb : https://www.imdb.com/title/tt0386676/

12 features

Ratings (target)numeric30 unique values
0 missing
Unnamed:_0numeric188 unique values
0 missing
Seasonnumeric9 unique values
0 missing
EpisodeTitlestring188 unique values
0 missing
Aboutstring188 unique values
0 missing
Votesnumeric178 unique values
0 missing
Viewershipnumeric149 unique values
0 missing
Durationnumeric13 unique values
0 missing
Datestring184 unique values
0 missing
GuestStarsstring28 unique values
159 missing
Directorstring54 unique values
0 missing
Writersstring47 unique values
0 missing

19 properties

188
Number of instances (rows) of the dataset.
12
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
159
Number of missing values in the dataset.
159
Number of instances with at least one value missing.
6
Number of numeric attributes.
0
Number of nominal attributes.
0.06
Number of attributes divided by the number of instances.
50
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
84.57
Percentage of instances having missing values.
0.53
Average class difference between consecutive instances.
7.05
Percentage of missing values.

0 tasks

Define a new task