by Veronika Varaksina | Apr 30, 2023 | Veronika Varaksina
Here are some additional ideas to make your Tableau training session even more effective: Use real-life examples and case studies to illustrate how Tableau can be used in practical situations. This can help the audience understand the value of the tool and how it can...
by Veronika Varaksina | Apr 28, 2023 | Veronika Varaksina
Radar charts, also known as spider charts or web charts, are useful for visualizing and comparing multiple quantitative variables. They are especially helpful for showing how different variables compare to one another relative to a common scale. Here are some of the...
by Veronika Varaksina | Apr 28, 2023 | Veronika Varaksina
One way to scale features for machine learning and for some visuals is through a process called “min-max normalization” or “min-max scaling”. This process recalculates all the values of your variables so that they fall within a certain range,...
by Veronika Varaksina | Apr 15, 2023 | Veronika Varaksina
Participating in Tableau Workout Wednesday is a beneficial practice for several reasons, like: Develop and practice new Data Visualization Skills: by participating in these challenges, participants can improve their data visualization skills and learn new techniques...
by Veronika Varaksina | Apr 11, 2023 | Veronika Varaksina
Yo, so a word cloud is basically a way to show text data with the size of each word indicating how often it appears in the text. This technique is especially useful when we are dealing with text data, such as tweets, reviews and open answer survey replies. Here are a...
by Veronika Varaksina | Apr 11, 2023 | Veronika Varaksina
Sometimes we want to use preemptive attributes to highlight the selected shape or point. For this exercise we will use the Superstore data which many of us are familiar with. Here are steps you need to take to create a parameter and use it to highlight selected values...
