CyberCrime_India_tbl_df | R Documentation |
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.
data(CyberCrime_India_tbl_df)
A tibble with 191 observations and 17 variables:
City name (character)
Number of cybercrime cases related to personal revenge (numeric)
Number of cybercrime cases related to anger (numeric)
Number of fraud-related cybercrime cases (numeric)
Number of extortion-related cybercrime cases (numeric)
Number of cases causing disrepute (numeric)
Number of prank-related cybercrime cases (numeric)
Number of sexual exploitation cases (numeric)
Number of cases disrupting public services (numeric)
Number of cases involving sale or purchase of illegal drugs (numeric)
Number of cases related to developing own business (numeric)
Number of cases involving spreading piracy (numeric)
Number of psychological or pervert-related cases (numeric)
Number of information theft cases (numeric)
Number of cases of abetment to suicide (numeric)
Number of other types of cybercrime cases (numeric)
Total number of cybercrime cases (numeric)
The dataset name has been kept as 'CyberCrime_India_tbl_df' to maintain consistency with the naming conventions in the IndiAPIs package. The suffix 'tbl_df' indicates that this is a tibble data frame. The original content has not been modified in any way.
Data obtained from Kaggle: https://www.kaggle.com/datasets/seanangelonathanael/dataset-cybercrime-in-india
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