Cancer across States
The map shows the number of Cancer Patients across different states of the US. The data is plotted over population. It shows there is still a significant difference between the number of Cancer Patients Diagnosed in different States. Furthermore, If we dig deep down in the statics, we will be able to figure out the differences in lifestyle, pollution, food quality and various other factors responsible for variations in the number of Cancer patients, in the different States of US.
Interact with the Choropleth
The viewer can draw his/her inferences based on this Choropleth. Hover the mouse over the Regions in California, Florida, and New York to find the highest number of Cancer Patients. Hover the mouse over the states in the map to view the cancer count of that particular State. The cancer count corresponds to the year 2013.
Does Age play a role in Cancer?
Bar-graph age range VS. Cancer Count
Age Range is plotted on the X-axis and Count of Cancer Patients is plotted on the Y-axis. The Count is the total of a decade from 2005 to 2014. The bar graph clearly shows that the Number of Cancer patients does vary in different age range. If we analyze, we see about 80% of people are diagnosed with Cancer in their 40-70 years of Age
Interact with Bar-graph and Button
Hover the mouse over the bars to view the tooltip on Age range and Cancer Count. The selected bar will be highlighted in yellow. Click on the Sort button to view Cancer Count for different age range in ascending or descending order. To reset the bar chart, refersh the URL.
Types of Cancers
The ScatterPlot aside shows the 6 Types of Cancer plotted over the years against the population. Viewers can draw their inferences based on this scatterplot. Population from various Years are plotted on the X-axis and Count of Cancer Patients diagnosed with the different type of Cancers are plotted on the Y-axis. Data taken is for the years 2000 to 2015. The Scatter Plot will be helpful to understand the major and rare type of Cancer diagnosis among the population of US. We See significant types of Cancer are Female breast Cancer, colon and Rectum Cancer.
Interact with the Scatter Plot
The type of Cancers are shown in the legend. Hover the mouse over Type of Cancer in the legend to view the count of patients in the Scatter Plot of the particular type of Cancer.The Count of Cancer Patients is plotted on the y-axis and population in Millions on the x-axis. The size of the circles is proportional to the percentage of the count of patients over population.
Cancer in Male VS Female
Significant differences are visible in the number of female and male diagnosed with Cancer over the years 2005 to 2014.
In 2005, more men were diagnosed with Cancer than women. By 2014 more women were diagnosed with Cancer than men.
Interact with Multi-Line Graph
Hover over the mouse over the multi-line chart from left to right and vice versa and observe the count of Cancer Patients for men and women seperately, across the years 2005 to 2014.
About the visualization
Motivation
The motivation behind this topic is to find the answers to the following questions:
*Is Cancer growing over the years in the US?
*How it has changed between men and women in a decade?
*What are the different types of Cancers and their count among US Population.
*Why there is a difference between the number of cancer patients diagnosed in different states of US.
*What could be the possible factors responsible for this difference?
This interactive slideshow will help the user to infer the answer to the above questions by himself/herself.
Tools and Technology Used
Programming : D3.js v4, HTML, CSS
DataBase : csv, json
External APIs : Google fonts, Cloudflare maps
Website Publish: Githib
Visualization Elements
Narrative Visualization Structure: A Hybrid Interactive SlideShow
Scenes: Each Slide in the SlideShow defines a Scene, which follow same colors, backgrounds, fonts, font sizes for visual consistency
Types of Graphs: Bar, Choropleth, Line, Scatter Plot
Filters: By selecting the values of types of Cancer in the legends in the scatter plot diagram, the viewer can filter the type of Cancer
Parameters: The navigation to the slides provided on the right hand side of the screen are the parameters. Another parameter is in the bar-graph, there is a sort button that sorts the age for the highest count of cancer patients in ascending and descending order.
Annotations: All annotations are explained on each slide and are independent of each other.
Triggers: In the bar-graph, there is a sort button that sorts the age for the highest count of cancer patients in ascending and descending order..
ToolTips: When the user hovers over his/her mouse over the graphs, the tool-tips help navigate the data in the visualization.
Theme: The scenes follow a unique theme, which called a dark theme. Dark theme is less tiring on the eyes of users than bright white backgrounds. The theme is uniform for visual consistency.
Conclusion
* Cancer is growing in the US per 1000 of the population. However, the growth is not exponential.
* More men have cancer than women in 2005.By 2014, more women have Cancer.
* California, Texas, Florida have the highest number of cancer patients.
* States close to coast have more cancer patients.
*Female Breast Cancer & Colon and Rectum Cancers are the major Cancer Types among US Population.
* Most people are diagnosed with Cancer at the age of 50 -60 years
About
The Project
This Interactive Visualization is a project submitted as a part of final project for the
Course No : CS 498
Course Name: Data Visualization
University: University of Illinois at Urbana Champaign
Department: Computer Science
Semester: Summer 2018
Degree: Master of Computer Science, Data Science
To access the project code:GitHub
The Author
The author of this project is SHRASHTI SINGHAL.
Know more about the author:
LinkedIn
GitHub
Tableau Public
The References
Data Source:
ScatterPlot Tutorial:
Choropleth Tutorial:
LineGraph Tutorial:
Background Image:
Template: