We can find out the ratio(for example, Age, Salary, etc.) Still, we can not find ratio or difference(for example, performance rating ), and ratio data is the data we can compare and differentiate. Ordinal data is the data which put in order. Nominal data can not be compared with other fields (Name, Gender, etc.).
Data visualizations using tableau public how to#
Now we will see how to visualize information in graphical representation. It took only 30 seconds to prepare any chart. Basically, Dimension is a categorical variable value( for example, employee id, joining date, region, etc.), and Measure is a numerical value ( for example, No of records, age, salary, etc.) using this information, we can create 24 different types charts in tableau. On the left side, there are two fields, Dimensions and Measures.
Tableau desktop version is just Drag n Drop operation where we can just drag whatever fields we want at an appropriate place in rows and columns.This is general types used for data visualization in this, there are more specific examples which are used to visualize the data in proper manner like Area chart, Bar charts, Distribution map, Pie charts, Circle view, Gantt chart, Bullet graph, Cartogram, Heat map, Highlight table, Matrix, TreeMap, Timeline, Word cloud, Text Tables, Stream graph, Network, Scatter plot, Radial Tree, waterfall chart, basic funnel chart, Advance funnel chart, Histogram, etc.
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