Once you choose your format and click, this format will be used in the current view and will also appear in the Axes where needed.ĭate and Time data can also take on different formatting than what Visual Analytics automatically assigns. The resulting dialog allows choosing a variety of options for, ,, and formats. It's possible to choose different formatting than the defaults it applies automatically by right clicking on fields you've already put in decks and selecting Visual Analytics automatically sets data formatting based on the Data Types it detects in your Data Source. The background color of Continuous fields are green when they are placed in any of Visual Analytics' decks. It's much faster to narrow down a range of dates than attempting to select them one by one. Configuring a filter with many thousands of Date and Time records can be extremely time consuming.īy converting DueDate to Continuous by right clicking on it in the Filters deck and selecting, you now see an interface for choosing a range of dates. When viewing the Filter card for DueDate you get a very lengthy list of each individual time recorded in DueDate. Discrete data appears with a blue background when placed in any of Visual Analytics' decks. By default Date and Time data type fields are Discrete. Īs an example, you may wish to use DueDate as a Filter. You can convert a field from Discrete to Continuous by right clicking on it and choosing. Continuous fields generate axes when they are dropped into Columns or Rows decks. Discrete fields generate headers when they are dropped into Columns or Rows decks.Ĭontinuous data is data that can take any value within a specified range such as the amount of time it took a person to complete a marathon. You're setting the data type for this field so that any time you drag it out of the Data Pane to a deck it keeps that data type.įields are also either Discrete (blue) or Continuous (green).ĭiscrete data is data that can only take specific values, such as the number of people in a marathon (you can't have a half person), or makes of cars like Ford, GM, Chrysler. If you pick a new data type, then click at the bottom of the list. If Visual Analytics incorrectly represents a date stored as the number of milliseconds since December 31 1969, you can change it to the data type you need by right-clicking on a field and selecting. It is possible to convert from one type to another. In Visual Analytics, the Data Source fields will take on one of the following data types automatically, even if within the Data Source you connected to there are many other data types allowed:Įach of these data types gets interpreted a different way when used in a Chart or View, so it is important to keep that in mind when dealing with your Data Source.
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