Data visualization is a useful tool to analyze exploratory data and display the results. This article attempts to explain a few data visualization exercises which aim to analyze a composite dataset consisting of 911-phone records as well as the subsequent police report filings.
2.1 Software used
Tableau 9.2 and Excel.
The dataset consists of the following variables derived from the website of UW Madison Police Department:
Incident number (a unique id), incident date, incident time, location, zip codes, significance, incident description, and incident type. The dataset includes data from the years 2012-2015.… Read more
We would like to introduce a panel discussion on Industrial Data Analytics Courses: The Need, Content and Expectations at the IIE annual conference that was held on May 30 – June 2 in Nashville, TN.
Three panelists joined this session, including Prof. Shiyu Zhou (University of Wisconsin-Madison), Prof. Satish Bukkapatnam (Texas A&M University), and Prof. Soundar Kumara (Penn State University). All panelists have been leading scholars in this field and have already offered at least one course related to industrial data analytics. The moderator of this session was Prof. Kaibo Liu (University of Wisconsin – Madison). The recorded video for this featured panels session is shown below:
The goal of this session is to enhance the education of industrial data analytics in Industrial Engineering departments by providing an interactive forum for the IE community to communicate on the course design and share information on the course materials.… Read more
This is the final part of Data Visualization and Analysis with R and Tableau Series, for the previous parts, please refer to part 1/3 and part 2/3 for details.
There are roughly 2 billion people around the world consuming alcoholic drinks. Among them, a great number of people are considered as “binge drinking”, which means consuming 5 or more drinks per single occasion for male and 4 or more drinks for female. Drinking alcohol has caused many problems and there are about 88,000 people died from alcohol-related causes annually. Moreover, $223.5 billion has been spent for alcohol misuse problems and 75% of the cost are related to binge drinking.… Read more
In the previous part, we introduced some data visualization techniques and showed the relationship of GDP, healthcare investment and life expectancy grouped by countries. In this article, we will focus on poverty and obesity, and analyze the dataset from United States Department of Agriculture. Specifically, by analyzing the dataset using data visualization techniques, we want to explore the following questions:
1. How does poverty rate vary within racial and ethnic groups?
2. Does the milk/soda price ratio influence obesity rate?
3. Are the obesity and diabetes rates higher in fast paced states like New York States than in agricultural states like Wisconsin?… Read more
Nowadays, unprecedented volume of data is available from books, radio, television, Internet and so on. From these data, useful knowledge can be discovered. However, data can be in any format such as numbers, text, or sound, which increases the difficulty of discovering useful knowledge. Some data formats, such as numbers, are sometimes too abstract and not friendly to people. As one of the techniques to address this issue, data visualization organizes different formats of data and presents it in a more easily understandable way.
In this article, we will demonstrate some examples of data visualization with Tableau.… Read more