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Zombies-Apocalypse

Zombies-Apocalypse

active ARFF GPL 2 Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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Context News reports suggest that the impossible has become possiblezombies have appeared on the streets of the US! What should we do? The Centers for Disease Control and Prevention (CDC) zombie preparedness website recommends storing water, food, medication, tools, sanitation items, clothing, essential documents, and first aid supplies. Thankfully, we are CDC analysts and are prepared, but it may be too late for others! Content Our team decides to identify supplies that protect people and coordinate supply distribution. A few brave data collectors volunteer to check on 200 randomly selected adults who were alive before the zombies. We have recent data for the 200 on age and sex, how many are in their household, and their rural, suburban, or urban location. Our heroic volunteers visit each home and record zombie status and preparedness. Now it's our job to figure out which supplies are associated with safety! Acknowledgements DataCamp

13 features

zombie (target)string2 unique values
0 missing
zombieid (ignore)numeric200 unique values
0 missing
agenumeric62 unique values
0 missing
sexstring2 unique values
0 missing
ruralitystring3 unique values
0 missing
householdnumeric6 unique values
0 missing
waternumeric8 unique values
0 missing
foodstring2 unique values
0 missing
medicationstring2 unique values
0 missing
toolsstring2 unique values
0 missing
firstaidstring2 unique values
0 missing
sanitationstring2 unique values
0 missing
clothingstring1 unique values
74 missing
documentsstring1 unique values
134 missing

19 properties

200
Number of instances (rows) of the dataset.
13
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
208
Number of missing values in the dataset.
146
Number of instances with at least one value missing.
3
Number of numeric attributes.
0
Number of nominal attributes.
0.07
Number of attributes divided by the number of instances.
23.08
Percentage of numeric attributes.
60.5
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
121
Number of instances belonging to the most frequent class.
39.5
Percentage of instances belonging to the least frequent class.
79
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
73
Percentage of instances having missing values.
1
Average class difference between consecutive instances.
8
Percentage of missing values.

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