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Crimes Against Women in India

Visualizing the Alarming Trend of Crimes Against Women in India: Dashboard of State and District-wise Data from 2001-2014

Skills Used

Violence against women is not exclusive to India, it is a global problem. It is important that this issue is being documented and I found this dataset to be quite comprehensive during my research. Having access to rich data is crucial to highlight the severity of the issue and hopefully promote stricter enforcement of such crimes. I think this can only happen with increased awareness, and helping people understand their fundamental rights. It is a complex issue that is rooted in poverty.

From the data, an alarming increase in crimes against women in India from 2001-2014. There could be a variety of factors that can contribute to this increase.

Over the years, awareness about women's rights and the importance of reporting crimes against women has grown, leading to more victims coming forward and filing complaints. This may have resulted in a higher number of cases being registered.

Changes in laws and policies related to crimes against women, such as stricter punishments or the inclusion of new offenses (e.g., the Criminal Law (Amendment) Act, 2013, which expanded the definition of sexual offenses), can also lead to increased reporting and registration of cases.

Persistent patriarchal attitudes, gender inequality, and discrimination against women can contribute to the prevalence of crimes against women. In some cases, traditional practices and customs may also perpetuate violence against women.

Poverty, unemployment, and lack of economic opportunities can increase crime rates in general and may disproportionately affect women in some cases.

Rapid urbanization and migration can lead to social dislocation and increased anonymity, which may contribute to increased crime rates, including crimes against women.

The difference in the number of reported cases for various crimes against women could be attributed to several factors, including the prevalence of certain types of crimes, societal attitudes, and awareness levels.

Cruelty by husband and relatives is a more common form of violence against women, as it often occurs within the family or household. It encompasses a range of abusive behaviors, including physical, emotional, and financial abuse. Since it is more widespread, it is unsurprising that it constitutes a larger proportion of reported crimes. Cultural and social norms play a significant role in determining the acceptability of certain behaviors. In some communities, violence perpetrated by family members, especially husbands, may be considered more acceptable, leading to a higher prevalence of such crimes. On the other hand, the importation of girls is a less common and socially accepted crime, which might explain the lower number of reported cases.

The legal framework and its enforcement can also influence the number of reported cases for different crimes. Some crimes, like assault, rape, and domestic violence might have clearer legal definitions and more stringent enforcement mechanisms, while others, like the importation of girls, might be more challenging to identify, investigate, and prosecute.

It is crucial to note that the number of reported cases may not necessarily reflect the actual prevalence of each crime. Many incidents might go unreported. Efforts should be made to address these barriers and encourage reporting, while also working to prevent and respond to all forms of violence against women.

Process

Process

Process

01

Research

Before beginning this project, it was importatnt to learn about the situation and read about why gender based crime has been on the rise over the years. Having domain knowledge before beginning a data project helps contextualize trends and may explain outliers or relevant insights

02

Summary Statistics

I wanted to understand the underlying trends of the data, how prelevant is each type of crime, number of responses, and identify outliers, for example one of the dates for the complaint was in the year 2099.

03

Dashboard Design

I prefer to think about the layout design first instead of just jumping into dashboard creation. This gives me an idea of what kind of measures and charts to create before even opening Tableau / Power BI.

04

Data Visualization

We conducted user interviews, surveys, and analyzed in-app analytics to understand the pain points and user needs. We also studied competitor apps and industry trends to gather insights

01

Research

Before beginning this project, it was importatnt to learn about the situation and read about why gender based crime has been on the rise over the years. Having domain knowledge before beginning a data project helps contextualize trends and may explain outliers or relevant insights

02

Summary Statistics

I wanted to understand the underlying trends of the data, how prelevant is each type of crime, number of responses, and identify outliers, for example one of the dates for the complaint was in the year 2099.

03

Dashboard Design

I prefer to think about the layout design first instead of just jumping into dashboard creation. This gives me an idea of what kind of measures and charts to create before even opening Tableau / Power BI.

04

Data Visualization

We conducted user interviews, surveys, and analyzed in-app analytics to understand the pain points and user needs. We also studied competitor apps and industry trends to gather insights

01

Research

Before beginning this project, it was importatnt to learn about the situation and read about why gender based crime has been on the rise over the years. Having domain knowledge before beginning a data project helps contextualize trends and may explain outliers or relevant insights

02

Summary Statistics

I wanted to understand the underlying trends of the data, how prelevant is each type of crime, number of responses, and identify outliers, for example one of the dates for the complaint was in the year 2099.

03

Dashboard Design

I prefer to think about the layout design first instead of just jumping into dashboard creation. This gives me an idea of what kind of measures and charts to create before even opening Tableau / Power BI.

04

Data Visualization

We conducted user interviews, surveys, and analyzed in-app analytics to understand the pain points and user needs. We also studied competitor apps and industry trends to gather insights

01

Research

Before beginning this project, it was importatnt to learn about the situation and read about why gender based crime has been on the rise over the years. Having domain knowledge before beginning a data project helps contextualize trends and may explain outliers or relevant insights

02

Summary Statistics

I wanted to understand the underlying trends of the data, how prelevant is each type of crime, number of responses, and identify outliers, for example one of the dates for the complaint was in the year 2099.

03

Dashboard Design

I prefer to think about the layout design first instead of just jumping into dashboard creation. This gives me an idea of what kind of measures and charts to create before even opening Tableau / Power BI.

04

Data Visualization

We conducted user interviews, surveys, and analyzed in-app analytics to understand the pain points and user needs. We also studied competitor apps and industry trends to gather insights