This dataset, CyberCrime_India_tbl_df, is a tibble containing cybercrime statistics across Indian cities. It includes counts of various types of cybercrimes such as personal revenge, anger, fraud, extortion, causing disrepute, prank, sexual exploitation, disruption of public service, illegal drug sales, business development, piracy spreading, psychological offenses, information theft, abetment to suicide, and others, along with the total number of cases. The dataset preserves the original structure from its source on Kaggle.
Usage
data(CyberCrime_India_tbl_df)Format
A tibble with 191 observations and 17 variables:
- City
City name (character)
- Personal Revenge
Number of cybercrime cases related to personal revenge (numeric)
- Anger
Number of cybercrime cases related to anger (numeric)
- Fraud
Number of fraud-related cybercrime cases (numeric)
- Extortion
Number of extortion-related cybercrime cases (numeric)
- Causing Disrepute
Number of cases causing disrepute (numeric)
- Prank
Number of prank-related cybercrime cases (numeric)
- Sexual Exploitation
Number of sexual exploitation cases (numeric)
- Disrupt Public Service
Number of cases disrupting public services (numeric)
- Sale purchase illegal drugs
Number of cases involving sale or purchase of illegal drugs (numeric)
- Developing own business
Number of cases related to developing own business (numeric)
- Spreading Piracy
Number of cases involving spreading piracy (numeric)
- Psycho or Pervert
Number of psychological or pervert-related cases (numeric)
- Steal Information
Number of information theft cases (numeric)
- Abetment to Suicide
Number of cases of abetment to suicide (numeric)
- Others
Number of other types of cybercrime cases (numeric)
- Total
Total number of cybercrime cases (numeric)
Source
Data obtained from Kaggle: https://www.kaggle.com/datasets/seanangelonathanael/dataset-cybercrime-in-india