Tableau Final Exam
Story Point
Each individual sheet in a Storyboard
Picture Superiority effect
Pictures are retained at much higher rates than words
Ordinal Data
data exists in categories that are ordered but differences cannot be determined or they are meaningless. (Example: 1st, 2nd, 3rd); more sophisticated kind of qualitative data
Calculations
allow you to create new data from data that already exists in your data source as well as perform computations on your data
Extract Connection
connection type that often results in a faster experience; snapshot of data source connection that can be modified locally
Line Graph
a graph that is used to look at relationships at two variables over time; also known as Time Series Analysis
Story
a sequence of visualizations that work together to convey information; can tell a data narrative, provide context, demonstrate how decisions relate to outcomes, or simply make a compelling case
Table Calculations
a transformation you apply to the values of a single Measure in your View based on the Dimensions and level of detail
Scatter Plot
A data visualization used to visualize and compare relationships between two Measures in Tableau; needs one Measure in Column and one Measure in Row
Add a Measure to Columns or Rows Shelf
Action that causes an axis to be added to the view which shows the data points that lie within a range of values
Cards
Color, Size, Label, Detail, Tooltip; Located under Marks Shelf
Shelves
Columns, Rows, Pages, Filters, Marks
Live Connection
Connection type that often results in a slower experience; information in Tableau updates with connected data source in real-time
Dashboard Best Practices
Dashboard should be understood in 5 seconds; most important view should go on the top or left side of the dashboard; dashboard review should always be performed
Nominal Data
Data which consists of names, labels, or categories; less sophisticated kind of qualitative data
Discrete Data
Quantitative data that can only take certain values. (i.e. only whole numbers, number of students in a class)
Continuous Data
Quantitative data that can take on any value in a range (i.e. height, time, temperature)
Tableau Packaged Workbook Format
Saving format .twbx; no need to send data source along with Tableau file
Sheet contents
Single view, shelves, cards, legends, a data pane, an analytics pane
Data Interpreter
Tableau built-in tool for preparing data for analysis
Pivot
Tableau feature used to change the data from cross-pad format to column format or vice versa
Split
Tableau function used to separate data that is concatenated
Dashboard Review Questions
What problem does this solve or answer? Is this the best way to display the information? Does everything add value? Is there functional interactivity? Are there clear labels?
Histogram
a chart that displays the shape of a distribution; groups values for a Continuous Measure into ranges or "bins"
Dashboard
a collection of several worksheets and supporting information in a single place, so you can compare and monitor a variety of data simultaneously
Heat Map
a data visualization in which two Measures can be displayed using size and color to express value
Shelves and Cards
area in Tableau that allows you to build the structure of your visualization. Increase the level of detail and control the number of marks in the view by including or excluding data. Add context to the visualization by encoding marks with color, size, shape, text, and detail.
Sheets
area in Tableau where data visualizations are built; contains a single View along with Shelves, Cards, Legends, a Data Pane, and an Analytics Pane
Treemap
data visualization that shows relative proportions; displays data nested in rectangles
Types of Quantitative Data
discrete and continuous
Anscombe's Quartet
four datasets that have the same simple descriptive statistics (mean, median, ... ), yet appear very different when graphed; created to demonstrate both the importance of graphing data before analyzing it and the effect of outliers and other influential observations on statistical properties
Types of Qualitative Data
nominal and ordinal
Pre-attentive Attributes
pieces of information that we can process visually, almost immediately, before sending the information to the attention processing parts of the brain; Processed almost subconsciously
Types of data
qualitative and quantitative