A graph or a chart usually simplifies the collaboration of your data and your questions. It is an easy solution with Tableau! But you can only extract the best out of it once you know which chart is the best suited as per your requirement. The type of data which you are analyzing or even the kind of questions you want to answer is the threshold to deciding on an appropriate presentation of data via charts, maps, aiming at a deeper insight to visualization. Tableau helps you tell stories by braiding your data systematically, providing effective and powerful visuals. Here are 10 set of chart experiences which you can incorporate while prepping for your next Data Visualization project.
When you are comparing data across different categories, Bar charts are the most handy. These can be the most common ways to visualize data, because of its fast output delivery to compare information, unfurling ups and downs in a second. they work wonders when you have numerical data that splits nicely into different categories, allowing you to see trends within your data instantly.
Viewing changing trends over a time span can be done with line charts which connect individual numeric data points, providing simple and straightforward way to see a sequence of values.
If showing proportions- relative proportions or percentages of a given data is your agenda, go for a pie chart. Remember to use pies only with a couple of wedges, to keep it comprehensive.
In case of a location data, be it postal codes, abbreviations for state names or even your own custom geocoding, across any geographical dimension, a map should be your ideal choice.
Investigating the relationship between different variables, by digging deeper into fluctuating trends, is its primary function.
To show the parameters of start and finish, which also includes extra additions regarding accomplishments or tenure, a Gantt Chart is prepared.
When you are accentuating Data on scatter plots or maps to depict the concentration of data along two lines, you should use a Bubble Chart.
Box and Whisker Plot
The distribution of data showing its maximum and minimum yields or points of data, can be done with the help of a Box and Whisker Plot. They are boxplots.
With a box within a box structure, the tree map is a mode of visualization to present your data as a part of the whole. These boxes, rather rectangles are hierarchically structured with the use of color combinations.
This is the most lucid way to see the distribution of data across groups. Try histograms to get a balanced and relevant approach for your analysis.