Interactive Tableau visualizations for a stolen bike dataset in the United Kingdom for the years 2014 to 2017. Here, I have used “Tableau” for working out my visualizations and let us see how easy and visually appealing these charts and graphs be.
In this case study, we will see some interesting visual solutions for the questions we could make out from the “Stolen Bikes” data set.
Here, I have used “Tableau” for working out my visualizations and let us see how easy and visually appealing these charts and graphs be. The figures used in this blog are static as they are the snapshots taken from the tableau. At the end of this article, I have given the link to my tableau public where I have published this visualization where it is interactive to use.
A brief summary of the dataset used:
The dataset used here is for the stolen bikes in the United Kingdom from 2014 and 2017. It contains the column names such as “Crime ID”, “Crime Type”, “Falls within”(i.e the police station jurisdiction) , “Last outcome category”(i.e the status of the case), and “Location”.
Tableau Data Analysis Tips and Tricks. Master the one of the most powerful data analytics tool with some handy shortcut and tricks.
Data science is omnipresent to advanced statistical and machine learning methods. For whatever length of time that there is data to analyse, the need to investigate is obvious.
Online Data Science Training in Noida at CETPA, best institute in India for Data Science Online Course and Certification. Call now at 9911417779 to avail 50% discount.
Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
You will discover Exploratory Data Analysis (EDA), the techniques and tactics that you can use, and why you should be performing EDA on your next problem.