IS428-AY2019-20T1 Group09-Proposal

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PROBLEM STATEMENT

According to the Thomson Reuters Foundation Annual Poll, India is ranked as the world’s most dangerous country for women. This is not surprising, as India has had a long-standing history of violence against women, which is deeply rooted in certain cultural practices such as female infanticide and acid attacks.

Even with the increasing public outcry regarding such discrimination and the enactment of laws protecting women, the number of crimes committed against women is increasing steadily over the years.

MOTIVATION

India is one of the world’s fastest growing economies. It is currently the seventh richest country in the world, and is projected to be the third largest economy in the world. Despite its rapid growth and development, women in India still suffer from long-standing gender inequality and are the victims to brutal and inhumane crimes. Hence, there is a need to analyse various socioeconomic factors to garner insights on the root causes for crimes against women to understand why this phenomenon is so.

OBJECTIVES

Our objectives of this project are as follows:

1. Provide an overview of the issue of crimes against women in India
2. Draw comparisons to study the differences in crime rates between different states
3. Study the effect of various socioeconomic factors on the number of crimes committed against women

We hope to achieve these objectives by developing interactive visualisations which can help us to understand the increasing trend of crimes against women, and what factors may contribute to such crime rates.

DATA SOURCES

We have obtained the following datasets for this research:

Dataset/Source	Data Attributes	Purpose
District-wise Crimes Committed Against Women, 2015 (Click to View Data) District-wise Crimes Committed Against Women, 2014 (Click to View Data)	State/UT Sl No. District Year Rape Attempt to commit Rape Kidnapping & Abduction_Total Dowry Deaths Assault on Women with intent to outrage her Modesty_Total Insult to the Modesty of Women_Total Cruelty by Husband or his Relatives Importation of Girls from Foreign Country Abetment of Suicides of Women Dowry Prohibition Act, 1961 Indecent Representation of Women (P) Act, 1986 Protection of Children from Sexual Offences Act Protection of Women from Domestic Violence Act, 2005 Immoral Traffic Prevention Act Total Crimes against Women	The dataset would provide the crime rate for each type of crime against women, at a district-level. We can then aggregate the data to find trends.
dstrCAW_2013 (Click to View Data) dstrCAW_1 (2001-2012) (Click to View Data)	STATE/UT DISTRICT Year Rape Kidnapping and Abduction Dowry Deaths Assault on women with intent to outrage her modesty Insult to modesty of Women Cruelty by Husband or his Relatives Importation of Girls	This data set will be used to understand the general demographic of international visitors coming to Korea from 2007 - 2018. We will be able to gain descriptive insights on the visitor demographics by Age Range.
Entry by nationality by age (2007 - 2018) (Click to View Data)	City Age Range Date	This data set will be used to understand the general demographic of international visitors coming to Korea from 2007 - 2018. We will be able to gain descriptive insights on the visitor demographics by Age Range.

LITERATURE REVIEW

Reference of Other Interactive Visualization	Learning Point
Title: Revisiting crimes against women in India Source:https://www.r-bloggers.com/revisiting-crimes-against-women-in-india/	The use of a chloropleth map allows us to compare the magnitude of crimes against women in different states. However, it does not account for the difference in the population size within each state, and merely takes the absolute number of crimes in each state as analysis.
Title: Foreign tourists visiting Korea by 2015 250px Source:http://m.datanews.co.kr/m/m_article.html?no=2995	This bar chart displays the visits to various tourist attraction by year. Data labels and legends can help us see the precise figures.
Title: Most visited tourism attractions in South Korea 2015 250px Source:https://know.tour.go.kr/ptourknow/knowplus/kChannel/kChannelPeriod/kChannelPeriodDetail.do?seq=102612	This helps us to learn the most visited attractions by region as well as the increase / decrease as compared to the previous year. We can enhance on this idea to make an interactive map so that the user can analyze with filters.

CONSIDERATION & VISUAL SELECTION

PROPOSED STORYBOARDS

TECHNOLOGIES

The tools we will be using for this Project is as follows:

CHALLENGES

Challenges	Mitigation Plan
Lack of proficiency in using R and R Shiny	Complete DataCamp courses on the relevant technologies Watch tutorial videos Read the documentation
District Crime Rates are in separate files, with different data attributes.	Clean the data to ensure that the columns are similar Consolidate the data into one file for the years 2001-2015.
Difficulty in understanding some of the data attributes due to its local context, such as the different acts for protection against women found in some of our datasets.	Conduct more research on India and its history of crimes against women to get a better understanding of the data.
Difficulty in finding socioeconomic factors by state level	Look to different data sources to find more socioeconomic factors for consideration.
The socioeconomic factors identified may not be indicative of the crime rate against women in India, as there may not be a relationship between the two.	Do EDA to discover any correlation between each socioeconomic factor and the crime rate, then select the relevant ones from there

TIMELINE

COMMENTS