Data
NewspaperChurn

NewspaperChurn

active ARFF Unknown Visibility: public Uploaded 05-10-2022 by louis geiler
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This dataset includes 15856 records of individuals who are or were subscribers to this newspaper. Datasets contain demographic information like HH Income which stands for the household income, home ownership, dummy for Children, Ethnicity, Year Of Residence, Age range, Language, and Nielsen Prizm; Geographic information like Address, State, City, County, and Zip Code. Also, the delivery period is chosen by the particular subscriber, as well as the weekly charge associated with it. The dataset also included the number of rewards subscribers used, and the source channel he/she been recruited in the first place. Finally, dataset included the information of whether the customer is still our subscriber or not.

19 features

Subscriber (target)string2 unique values
0 missing
SubscriptionIDnumeric15855 unique values
0 missing
HH Incomestring18 unique values
0 missing
Home Ownershipstring2 unique values
0 missing
Ethnicitystring73 unique values
0 missing
dummy for Childrenstring2 unique values
0 missing
Year Of Residencenumeric56 unique values
0 missing
Age rangestring12 unique values
108 missing
Languagestring37 unique values
1007 missing
Addressstring15742 unique values
0 missing
Statestring1 unique values
0 missing
Citystring56 unique values
0 missing
Countystring4 unique values
0 missing
Zip Codenumeric117 unique values
0 missing
weekly feestring14 unique values
186 missing
Deliveryperiodstring28 unique values
0 missing
Nielsen Prizmstring9 unique values
129 missing
reward programnumeric116 unique values
0 missing
Source Channelstring51 unique values
0 missing

19 properties

15855
Number of instances (rows) of the dataset.
19
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
1430
Number of missing values in the dataset.
1394
Number of instances with at least one value missing.
4
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
8.79
Percentage of instances having missing values.
1
Average class difference between consecutive instances.
0.47
Percentage of missing values.
21.05
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
0
Percentage of nominal attributes.
80.85
Percentage of instances belonging to the most frequent class.
12818
Number of instances belonging to the most frequent class.
19.15
Percentage of instances belonging to the least frequent class.
3037
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

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