enter This is the first blog post from Kizley Benedict for all Tableaulearners. He was pleasantly surprised when his recent visualization on Sachin Tendulkar’s centuries was featured as Viz of the Day by Tableau. This one was special for him for a couple of reasons. First, this was his maiden attempt at cricket related visualization. Second, he had been thinking of creating a data portrait in Tableau for quite some time . He has always been fascinated with the idea of representing data on the human face. Enjoy this Blog post.
Data preparation is an iterative and very important process for exploring, combining, cleaning and transforming raw data into curated datasets for data integration, data science, data discovery and business intelligence analytics. Data preparation plays key role in businesses and any decision to make using data. Data preparation is made easy by using data preparation tools for analysts and so many businesses.In real life people spend upto 80% of time preparing data and 20% analyzing it
Data security is the main priority for organizations of every size and genre. In simple terms, we can say it’s a practice of keeping data protected from corruption and unauthorized access. The main focus of every organization is to ensure privacy while protecting personal or corporate data.The first step in protecting your enterprise's data privacy and security is to identify the types of information/data you want to protect and where that information is exposed in your organization.
Tableau is one of the fastest evolving Business Intelligence (BI) and data visualization tool. It is very fast to deploy, easy to learn and very intuitive. It is the mostly extensively used BI software which is currently available in the market. With its highly visual approach to data analysis and easy to go interface, Tableau actually help people to see and understand their data in a more accurate fashion.
This week we will be looking at Sub-Category Sales by Month, and creating a highlight table of which sub-categories were the Max and Min Sales in that Month.Each Month will Highlight the MIN Sales in Red, Max Sales in Blue.Allow users to Filter by Year and/or Category.Pay attention to formatting and how the Table adjusts in size according to how many Sub-Categories are being shown.
This week we will need to use some formatting skills and the knowledge of formatting color. You’ll also be using the rarely-utilized hierarchy on this dashboard and you’ll need to utilize the “+” and “-” to drill in and out of the hierarchy.As you complete this example, feel free to share on Twitter using the #WorkoutWednesday hashtag. Don’t forget to tag @VizWizBI, @RodyZakovich, and @LukeStanke. We really want to see your work.
I was checking #Workoutwednesday challenge the other night and came across the following Bar Chart combined with Line Chart along with axis labeling to display the months rather than numbers as Jeffrey has done.Quantity for the East and West regions should display as side-by-side bars
Sales for the East and West regions should be displayed as lines