- (Image Source - Best Business Intelligence and Data Visualization Tools for 2029 - February 21, 2019)
Analysis of Police Department Incident Reports (2019 - 2020)
Police-District wise distribution of Incident Reports (2019 - 2020)
Monthly Incident Report per Police-District (2019 - 2020)
-Created by Aryan Choudhary
Source: Police Department Incident Reports (Neighborhoods)Interactivity Guide
This visualization will have the following interactivities:
| Interactivity | Status |
|---|---|
| On demand data display: When a user hovers over the line chart or choropleth map, a tool-tip appears up with specific details about the data. |
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| Hovering over a police district in one choropleth map hightlights the same police district in other choropleth map |
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| Hovering over a dot in line chart hightlights the selected police district in choropleth map the data is from |
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The choropleth maps has the ability of zooming and panning. Note: you have to select
the svg first for
zooming and panning to work
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| Ability to filter the map and line chart based on Incident Category by using the drop-down button above the map. |
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| When a Police District on either of the choropleth maps is clicked, the line chart for that Incident category and Police District is shown. |
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Data Encoding and Interpretations
- Choropleth Map
- The Choropleth Maps displays San Francisco Police Districts that are colored in relation to monthly average of incident count across each Police District.
- This provides a way to visualize crime distribution over each districts, which shows variations or patterns across SF
- Hierarchy of color:
- Darkest Color - Highest Values
- Mid Range colors shades
- Lightest Color - Lowest Values
- Line Chart
- The y-axis corresponds to the number of cases for the selected incident category and police district
- The x-axis correspons to the dataset (Jan 2019 - April 2020) in months
- The line connects each data points
- The height of each dot represent the number of incident cases for the selected incident category and police district per month, so higher the dot from x-axis represent higher incident cases.
Conculsion
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If we compare dataset with all Incident Categories, we can see that
- There is a noticable decrease in crimes rate in San Francisco in all police districts due to lockdown (March and April, 2020)
- The major police Districts where crime took place for both 2019 and 2020 are:
- NORTHERN
- MISSION
- CENTRAL
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For Incident Category - Assault, Missing Person, and Robbery we can see that
- There is an overall decreasing trend in crimes rate in San Francisco due to lockdown (March and April, 2020)
- The police Districts where most of the crime took place for both 2019 and 2020 are:
- MISSION (Assault, Robbery)
- TENDERLOIN (Assault)
- CENTRAL (Robbery)
- SOUTHERN (Missing Person)
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For Incident Category - Burglary, and Motor Vehicle Theft, we can see that
- There is an overall increasing trend in crimes rate in San Francisco due to lockdown (March and April, 2020).
- The police Districts where most of the crime took place for both 2019 and 2020 are:
- NORTHERN (Burglary, )
- CENTRAL (Burglary)
- BAYVIEW (Motor Vehicle Theft)
- From the above findings, I can say that overall the lockdown reduced the crime rates in San Francisco. However, The case for Burglary and Motor Vehicle Theft raises the question as of why people are willing to take the risk of contracting the coronavirus for stealing?
How visualization suppports the theme?
| No. | Question | Answer |
|---|---|---|
| 1 | How the lockdown period is affecting crime rates in the city of San Francisco? | Overall, the lockdown has reduced the crime rates in SF. However, Burglary and Motor Vehicle Theft cases have increased during the lockdown period. |
| 2 | What type of crime is the most prevalent during this lockdown period? |
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| 3 | Which Police Districts are the most affected during this time period? |
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| 4 | Is there a visible pattern between incidents accross Police District? |
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Inspirations