Difference between revisions of "Not Sure Yet"

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'''Not Sure Yet'''
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<!--Header-->
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<p></p><br/>
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<div style="width:100%; text-align:center;">
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{|style="background-color:#143c67; color:#4d79ff; padding: 10 0 10 0;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0"  |
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| style="padding:0.2em; font-size:100%; background-color:#143c67; text-align:center; color:#F5F5F5" width="10%" |
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[[Team |<font color="#F5F5F5" size=3 face="Helvetica">Team</font>]]
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| style="background:none;" width="1%" | &nbsp;
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| style="padding:0.2em; font-size:100%; background-color:#05050f;  border-bottom:0px solid #3D9DD7; text-align:center; color:#F5F5F5" width="10%" |
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[[Proposal|<font color="#F5F5F5" size=3 face="Helvetica">Proposal</font>]]
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| style="background:none;" width="1%" | &nbsp;
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| style="padding:0.2em; font-size:100%; background-color:#143c67;  border-bottom:0px solid #3D9DD7; text-align:center; color:#F5F5F5" width="10%" |
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[[Poster|<font color="#F5F5F5" size=3 face="Helvetica">Poster</font>]]
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| style="background:none;" width="1%" | &nbsp;
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| style="padding:0.2em; font-size:100%; background-color:#143c67;  border-bottom:0px solid #3D9DD7; text-align:center; color:#F5F5F5" width="10%" |
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[[Application|<font color="#F5F5F5" size=3 face="Helvetica">Application</font>]]
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| style="background:none;" width="1%" | &nbsp;
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| style="padding:0.2em; font-size:100%; background-color:#143c67;  border-bottom:0px solid #3D9DD7; text-align:center; color:#F5F5F5" width="10%" |
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[[Research Paper|<font color="#F5F5F5" size=3 face="Helvetica">Research Paper</font>]]
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|}
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</div>
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<!--/Header-->
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<br />
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<big> [[Project Groups|<--- Go Back to Project Groups]] </big>
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<br /><br />
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==<div style="background:#143c67; padding: 15px; font-weight: bold; line-height: 0.3em; letter-spacing:0.5em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>PROBLEM STATEMENT</center></font></div>==
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<br/>
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India has always been known for its high crime rate of violent crimes against women.
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<br/>
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==<div style="background:#143c67; padding: 15px; font-weight: bold; line-height: 0.3em;letter-spacing:0.5em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>MOTIVATION</center></font></div>==
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<br/>
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Our main motivation is to
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<br/>
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==<div style="background:#143c67; padding: 15px; font-weight: bold; line-height: 0.3em;letter-spacing:0.5em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>OBJECTIVES</center></font></div>==
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<br/>
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Our objectives of this project are as follows:
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# Gain insight on the issue of violent crimes against women in India
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# Study the effect of various socioeconomic factors on the number of crimes committed against women
 +
 
 +
<br/>
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==<div style="background:#143c67; padding: 15px; font-weight: bold; line-height: 0.3em;letter-spacing:0.5em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>DATA SOURCES</center></font></div>==
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<br/>
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We have obtained the following datasets for this research:
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<center>
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{| class="wikitable" style="background-color:#FFFFFF;" width="90%"
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|-
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 30%;" | Dataset/Source
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 20%" | Data Attributes
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 50%;" | Purpose
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|-
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| <center>District-wise Crimes Committed Against Women, 2015 <br/><br/><br/>
 +
(https://data.gov.in/catalog/district-wise-crimes-committed-against-women?filters%5Bfield_catalog_reference%5D=87613&format=json&offset=0&limit=6&sort%5Bcreated%5D=desc) </center>
 +
||
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 +
 
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* State/UT
 +
 
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* Sl No.
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* District
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* Year
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* Rape
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* Attempt to commit Rape
 +
 
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* Kidnapping & Abduction_Total
 +
 
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* Dowry Deaths
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* 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
 +
 
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* Indecent Representation of Women (P) Act, 1986
 +
 
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* Protection of Children from Sexual Offences Act
 +
 
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* Protection of Women from Domestic Violence Act, 2005
 +
 
 +
* Immoral Traffic Prevention Act
 +
 
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* Total Crimes against Women
 +
 
 +
||
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<center>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.
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|}
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</center>
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<br/>
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==<div style="background:#143c67; padding:15px; font-weight: bold; line-height: 0.3em;letter-spacing:0.5em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>LITERATURE REVIEW</center></font></div>==
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<br/>
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<!-- <center>
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{| class="wikitable" style="background-color:#FFFFFF;" width="90%"
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|-
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 45%;" | Reference of Other Interactive Visualization
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 55%" | Learning Point
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|-
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| <center>
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'''Title''': Monthly Number of Individual Travelling Visitors (2016)
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[[File:Example1.png|300px|frameless|center]]
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'''Source''':https://www.data.go.kr/visual/content/577
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</center>
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||
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* We can understand the monthly visitor arrivals' patterns throughout the year.
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* However, we feel that a time series line graph would be more appropriate, and there should be a wider year range to better understand the exact trend in visitor arrivals.
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|-
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| <center>
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'''Title''': Foreign tourists visiting Korea by 2015
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[[File:Nogada.png|250px|frameless|center]]
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'''Source''':http://m.datanews.co.kr/m/m_article.html?no=2995
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</center>
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||
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* This bar chart displays the visits to various tourist attraction by year.
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* Data labels and legends can help us see the precise figures.
 +
 
 +
|-
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| <center>
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'''Title''': Most visited tourism attractions in South Korea 2015
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[[File:BackgroundSurvey3Nogada.jpg|250px|frameless|center]]
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'''Source''':https://know.tour.go.kr/ptourknow/knowplus/kChannel/kChannelPeriod/kChannelPeriodDetail.do?seq=102612
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</center>
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||
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* This helps us to learn the most visited attractions by region as well as the increase / decrease as compared to the previous year.
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* We can enhance on this idea to make an interactive map so that the user can analyze with filters.
 +
 
 +
|-
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|}
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</center> -->
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<br/>
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==<div style="background:#143c67; padding:15px; font-weight: bold; line-height: 0.3em;letter-spacing:0.5em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>CONSIDERATION & VISUAL SELECTION</center></font></div>==
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<br/>
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<!-- Below are a few visualizations and charts we considered making for our projects.
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<center>
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{| class="wikitable" style="background-color:#FFFFFF;" width="90%"
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|-
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 45%;" | Visual Considerations
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 55%" | Insights / Comments
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|-
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| <center>
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'''Title''': Sunburst Diagram
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[[File:Sunburst.png|250px|frameless|center]]
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'''Source''':https://bl.ocks.org/mbostock/4348373
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</center>
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||
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*'''Pros:'''
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** Aims to show various sub-components of a particular category
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** Can drill down to multiple divisions to observe the distribution by percentages
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** May be useful to analyze tourism receipts by components and country
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*'''Cons:'''
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** Difficult to break down the huge number of markets
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** Does not provide a comprehensive time-series comparison
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|-
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| <center>
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'''Title''': Treemap
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[[File:Treemap.png|250px|frameless|center]]
 +
'''Source''':https://www.theinformationlab.co.uk/2015/02/10/show-treemaps/
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</center>
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||
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*'''Pros''':
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** Effective visualisation to organise multivariate data by hierarchy
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** We can effectively see the purpose of visit for the top 10 visiting countries to Korea.
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 +
 
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*'''Cons''':
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** It would be hard to compare between years and months for different countries.
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** The hierarchy will only be 2 levels so the interaction would not be as much.
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|-
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| <center>
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'''Title''': Chord Diagram
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[[File:Chord.png|250px|frameless|center]]
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'''Source''':https://beta.observablehq.com/@mbostock/d3-chord-diagram
 +
</center>
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||
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 +
*'''Pros''':
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** Effective visualisation to see the influx of Visitors from and to Korea.
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** We will be able to easily spot the country with the most travelers to Korea.
 +
 +
 
 +
*'''Cons''':
 +
** This chart will make it harder to spot trends in the visiting pattern.
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** We will not be able to see every single country as the size of the chord diagram is limited.
 +
 
 +
|-
 +
|}
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</center> -->
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<br/>
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==<div style="background:#143c67; padding:15px; font-weight: bold; line-height: 0.3em;letter-spacing:0.5em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>BRAINSTORMING SESSIONS</center></font></div>==
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<br/>
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<!--
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[[File:BrainstormNogada.png|500px|frameless|center]]
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<br/>
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To come up with the story board, our group met up several times to try and come up with a visual. The two charts above are a few dashboards we considered making for our project. First Chart being a Chord diagram of visitors coming in and out of Korea. With an attractive look and great interaction, at first we felt that it was a good dashboard. But with some discussion and consultations, we realised that it would not help us achieve our goal of seeing the seasonal trend of visitors through the years. The second chart is a map with a hover function to see the popularity. We still stick to a similar design but instead of a tooltip like feel, we decided to give a whole section to the popularity part.
 +
 
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After the sessions, we came up with our final designs which are listed below.
 +
 
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<br/>
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==<div style="background:#143c67; padding:15px; font-weight: bold; line-height: 0.3em;letter-spacing:0.5em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>PROPOSED STORYBOARD</center></font></div>==
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<br/>
 +
 
 +
Below is the proposed story board for our project:
 +
 
 +
<center>
 +
{| class="wikitable" style="background-color:#FFFFFF;" width="90%"
 +
|-
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 45%;" | Storyboard
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 55%" | Insights / Comments
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|-
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| <center>
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'''Title''': Storyboard 1 - Seasonal Trend
 +
[[File:Storyboard1Nogada.jpg|300px|frameless|center]]
 +
</center>
 +
 
 +
||
 +
* Aims to show the seasonal trend of yearly visitor arrivals by country and month.
 +
 
 +
* There is a slider to select the year range and two dropdowns to analyse specific months and countries.
 +
 
 +
|-
 +
| <center>
 +
'''Title''': Storyboard 2 - Tourist Attractions
 +
[[File:Storyboard2Nogada.jpg|400px|frameless|center]]
 +
</center>
 +
||
 +
 
 +
* Aims to show the yearly / monthly trend in popular tourism destinations, filtered by year and month.
 +
 
 +
* After selecting a region, the map will zoom in and display various tourism attractions within that region.
 +
 +
* When the user hovers over a specific destination, there will be a time series graph of the local / foreigner arrivals as well as a picture of the destination.
 +
 
 +
|-
 +
| <center>
 +
'''Title''': Storyboard 3 - Demographic information
 +
[[File:Photo 2018-11-25 15-55-54 (2).jpg|400px|frameless|center]]
 +
</center>
 +
||
 +
 
 +
* Aims to provide demographic information and the purpose of arrival through trend line charts and other barcharts.
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* Users can select the year/month and country from the dropdown list.
 +
 
 +
|-
 +
|}
 +
</center>
 +
-->
 +
<br/>
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==<div style="background:#143c67; padding:15px; font-weight: bold; line-height: 0.3em;letter-spacing:0.5em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>TECHNOLOGIES</center></font></div>==
 +
<br/>
 +
<!--
 +
The technologies we will be using for this Project is as below:
 +
[[File:ArchitectureDiagram.png|650px|frameless|center]]
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<br/>
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==<div style="background:#143c67; padding:15px; font-weight: bold; line-height: 0.3em;letter-spacing:0.5em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>CHALLENGES</center></font></div>==
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<br/>
 +
 
 +
<center>
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{| class="wikitable" style="background-color:#FFFFFF;" width="90%"
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|-
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 45%;" | Challenges
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 55%" | Mitigation Plan
 +
|-
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|
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* Unfamiliarity of Visualization Technologies such as Tableau, R,Rshiny etc.
 +
||
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* Attending Workshop on R and Rshiny
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* Hands-on Practice with different technologies.
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* Peer Learning.
 +
 
 +
|-
 +
|
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* Data Cleaning & Transformation from messy data.
 +
||
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* Organize Meeting Sessions to meet and do data cleaning and transformation together.
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* Split the work between team members.
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* Python Scripting to find Top 10, Sort data and translate.
 +
 
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|-
 +
|
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* Integrating Relevant Data from Multiple Sources Proposed Solution.
 +
||
 +
 
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* Working together to decide on what data to extract or eliminate.
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* Trial and test for one set of data together before splitting the work.
 +
 
 +
|-
 +
|}
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</center>
 +
-->
 +
<br/>
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==<div style="background:#143c67; padding:15px; font-weight: bold; line-height: 0.3em;letter-spacing:0.5em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>TIMELINE</center></font></div>==
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<br/>
 +
<!--
 +
[[File:NogadaGantt.png|1000px|frameless|center]]
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-->
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<br/>
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==<div style="background:#143c67; padding:15px; font-weight: bold; line-height: 0.3em;letter-spacing:0.5em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>COMMENTS</center></font></div>==
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<br/>
 +
<!--
 +
Feel free to leave us some comments so that we can improve!
 +
 
 +
<center>
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{| class="wikitable" width="100%"
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|-
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 5%;" |No.
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 25%;" |Name
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 20%;" |Date
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! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 50%;" |Comments
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|-
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| 1.
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| Insert your name here
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| Insert date here
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| Insert comment here
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|-
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| 2.
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| Insert your name here
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| Insert date here
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| Insert comment here
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|-
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| 3.
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| Insert your name here
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| Insert date here
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| Insert comment here
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|}
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</center>
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-->

Revision as of 22:19, 2 October 2019


Team

 

Proposal

 

Poster

 

Application

 

Research Paper


<--- Go Back to Project Groups

PROBLEM STATEMENT


India has always been known for its high crime rate of violent crimes against women.

MOTIVATION


Our main motivation is to

OBJECTIVES


Our objectives of this project are as follows:

  1. Gain insight on the issue of violent crimes against women in India
  2. Study the effect of various socioeconomic factors on the number of crimes committed against women


DATA SOURCES


We have obtained the following datasets for this research:

Dataset/Source Data Attributes Purpose
District-wise Crimes Committed Against Women, 2015


(https://data.gov.in/catalog/district-wise-crimes-committed-against-women?filters%5Bfield_catalog_reference%5D=87613&format=json&offset=0&limit=6&sort%5Bcreated%5D=desc)


  • 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.


LITERATURE REVIEW



CONSIDERATION & VISUAL SELECTION




BRAINSTORMING SESSIONS



TECHNOLOGIES



TIMELINE



COMMENTS


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