Charts Tab - Teradata Vantage

Teradata® VantageCloud Lake

Deployment
VantageCloud
Edition
Lake
Product
Teradata Vantage
Published
January 2023
Language
English (United States)
Last Update
2024-04-03
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Using the Charts tab you can view data in Bar, Pie, Scatter, and Sankey charts.

Bar Chart

A bar chart represents data with rectangular bars of lengths proportional to the value represented.

Bar chart parts:

Part Description
Horizontal Categorical columns with data types, such as, Char, Varchar, and time.
Series Column with numerical data types, such as, smallint, integer, numeric, and float.

To add or remove a Series from a bar graph: From the Series menu, select Add or Delete, respectively.

Function Aggregate function, such as, Average, sum, or count, which you can perform on specified numerical columns.
Chart Title Title you give to chart.
Chart Title Position Position (alignment) of chart title.
Data Label Position Alignment of data label (to start, middle, or end of data).
Bar chart limitations:
  • Bar chart is not built if the values of X-Axis and Y-Axis is greater than +1.2E308.
  • Bar chart is not built if the values of X-Axis and Y-Axis is less than -1.2E308
  • Bar chart is empty if the values for a specific numerical column are all zero or NaN.
  • Bar chart is not shown if an operation stops due to errors in calculation.
  • Bar chart shows only 10000 records. If more records exist, a message appears.
  • Bar chart is not built if the query results have more than 200000 records.

Pie Chart

A pie chart (also called a circle chart) summarizes a set of nominal data or displays the different values of a given variable (for example, percentage distribution).

A pie chart is a circle divided into a series of segments. Each segment represents a particular category.

Pie chart parts:

Part Description
Name Categorical column menu that contains the following categorical data types:
  • CHAR
  • VARCHAR
  • DATE
  • TIME
  • TIMESTAMP
  • TIME WITH TIME ZONE
  • TIMESTAMP WITH TIME ZONE
Value Numerical column menu that contains the following numerical data types:
  • SMALLINT
  • BYTEINT
  • INTEGER
  • DECIMAL/NUMBER
  • NUMERIC
  • FLOAT/REAL/DOUBLE PRECISION
  • BIGINT
Series Aggregate function that can be performed on the specified numerical columns.
Aggregate functions:
  • Average
  • Sum
  • Count
  • Count(Distinct)
  • Minimum
  • Maximum
  • Variance
  • Standard Deviation
  • Median
Pie Hole (Optional) Visualizes inner hole or inner circle of pie chart, which you can change according to input given.
Pie Rotation (Optional) Used to rotate pie chart.
Chart Title (Optional) Used to provide title for chart visualization (Heading).
Chart Title Position (Optional) Used to specify alignment of title heading (center, left, right).
Chart Label Position (Optional) Used to provide alignment of the data labels of the chart (outside, inside or center).
Pie chart limitations:
  • Pie chart is not built if the values of X-Axis and Y-Axis is greater than +1.2E308.
  • Pie chart is not built if the values of X-Axis and Y-Axis is less than -1.2E308
  • Pie chart is empty if if the values for a specific numerical column are all zero or NaN.
  • Pie chart is not shown if an operation stops due to errors in calculation.
  • Null values in a column are not considered during operations and are eliminated from the Pie chart.
  • Pie chart shows only 10000 records. If more records exist, a message appears.
  • Pie chart is not built if there are more than 200000 records of a query result.
  • By default, pie chart shows only 20 labels. You can select and add more labels.

Scatter Chart

A scatter chart, also called a scatter plot, shows the relationship between two variables. A scatter chart represents data points on a two-dimensional plane.

Scatter chart parts:

Part Description
X-Axis  
Y-Axis Y-Axis (Vertical) is numerical columns menu that contains the following data types:
  • SMALLINT
  • BYTEINT
  • INTEGER
  • DECIMAL/NUMBER
  • NUMERIC
  • FLOAT/REAL/DOUBLE PRECISION
  • BIGINT
Category (Optional) Categorical columns menu that contains the following data types:
  • VARCHAR
  • CHAR
  • DATE
  • TIME
  • TIMESTAMP
  • TIMESTAMP WITH TIME ZONE
  • TIME WITH TIME ZONE
Chart Title (Optional) Title for Scatter Chart. Default is X-Axis name & Y-Axis name.
Chart Title Position (Optional) Position of chart title (LEFT, RIGHT or CENTER). Default is CENTER.
Scatter chart limitations:
  • Scatter chart is not built if the values of X-Axis and Y-Axis is greater than +1.2E308.
  • Scatter chart is not built if the values of X-Axis and Y-Axis is less than -1.2E308
  • Scatter chart is empty if all values of X-Axis and Y-Axis are blank.
  • Scatter chart does not support Visualization of entire data set.

Sankey Chart

A Sankey chart, also called a Sankey diagram, depicts a flow from one set of values to another. The things being connected are called source nodes and target nodes and the connections are called links. The weightage of links is called value. The higher the value, the more important the link.

Sankey chart parts:

   
Source X-Axis (Horizontal) is numerical categorical columns (from output of query run in Editor) menu that contains the following data types:
  • VARCHAR
  • CHAR
Target Categorical columns (from output of query run in Editor) menu that contains the following data types:
  • VARCHAR
  • CHAR
Value (Optional) Numerical columns (from output of query run in Editor) menu that contains the following data types:
  • SMALLINT
  • BYTEINT
  • INTEGER
  • DECIMAL/NUMBER/NUMERIC
  • FLOAT/REAL/DOUBLE PRECISION
  • BIGINT

By default, Sankey chart is drawn based on count of source-to-target connections. Columns with negative values are supported, but may hamper view of Sankey chart, so alert dialog box appears if you continue, but chart appears. If you do not continue, you can reselect column for value attribute.

Sankey chart limitations:
  • Sankey chart does not display if the source and target columns are same, as this results in cyclic data formation. If different columns have cyclic data, an error displays. Fix and run the Sankey chart again.
  • The visualization of entire data set is not supported in Sankey chart.
  • If a column has negative values, the Sankey chart may appear clumsy and inferences cannot be drawn properly. A message "Negative values are detected, and Sankey chart might not look proper. Would you like to continue?" appears. If you want to continue, the Sankey chart is shown otherwise, or you can choose to reselect the inputs for source, target, and values.
  • If there are more nodes and links, the Sankey chart may create a clumsy and unreadable view.
  • Sankey chart supports numerical values with a precision up to 15 digits. Any values with more than 15 digits may change during calculations of the source to target link values.