Change
Change
lets you modify a column's type (such as an integer or string column) or how the values in a column are shown (such as currency or percentages). Note that not all values can be converted to a different type. For example, a string with non-numeric characters can't be changed to an integer.
Format
Change
has several formats:
Change the type of the column <column> to <type>
Change the display type of the column <column> to <display type> in the dataset <dataset>
You can include multiple columns separated by commas:
Change the type of the column <column one> to <type one>, <column two> to <type two>, ... <column N> to <type N>
Parameters
Change
uses the following parameters:
column
(required). The name of the column to modify.type
(required). The type to change the values of the column to. The options include:- Boolean
- Date
- Float
- Integer
- Interval
- None. The default type.
- String
- Time
- Timestamp
display type
(required). The display type to change the values of the column to. The options include:- Comma Separated Float
- Comma Separated Int
- Dollar Sign
- None. The default type.
- Percent Sign
dataset
(required). The dataset that contains the column you want to modify.
Output
If the column's type or display type is successfully changed, a success message appears in the conversation history and the updated values appear in the column. Otherwise, an error message appears.
Examples
To change string columns in a dataset, enter: Change the type of the column PhoneNumber to Integer, FirstContact to Timestamp, Purchased to Boolean
.
To change the display type of a float column called "Price" to use a dollar sign, enter: Change the display type of the column Price to Dollar Sign in the dataset <dataset name>
.