Data
Kaggle-Survey-2017-2020-Merged-Data

Kaggle-Survey-2017-2020-Merged-Data

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Elif Ceren Gok
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 Every year Kaggle conducts an industry-wide survey that presents a truly comprehensive view of the state of data science and machine learning. This dataset combines the data from the past 4 years (2017-2020). Content Data was acquired and cleaned by Kaggle Team. I merged the dataset over the years using the notebook. https://www.kaggle.com/harveenchadha/merging-all-historical-survey-data-2017-2020

12 features

indexnumeric80327 unique values
0 missing
Agestring11 unique values
444 missing
Genderstring5 unique values
95 missing
Countrystring72 unique values
120 missing
Degreestring7 unique values
2983 missing
Job_Titlestring32 unique values
7214 missing
Company_Sizestring7 unique values
47152 missing
Team_Sizestring7 unique values
55422 missing
ML_Status_in_Companystring6 unique values
35301 missing
Compensation_Statusstring18 unique values
20201 missing
Money_Spentstring7 unique values
57507 missing
Yearnumeric4 unique values
0 missing
Show all 12 features

19 properties

NumberOfInstances
80327
Number of instances (rows) of the dataset.
NumberOfFeatures
12
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
226439
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
57507
Number of instances with at least one value missing.
NumberOfNumericFeatures
2
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
16.67
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
71.59
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
23.49
Percentage of missing values.
Show all 19 properties

0 tasks

Define a new task