Let's take a dataset with negative and positive exponential notation in a column. These exponential values must be converted to their decimal equivalent. To achieve this please try using the Split transforms to split the columns with exponential values and apply the Formula transforms on the split columns.
1. Import your dataset into DataPrep from the required data source.
The dataset contains exponential values in the Exponent column.
2. Now, use the Split transform on the Exponent column with the exponential values.
3. After applying the split transform, let's apply Formula transform on the split columns to get the decimal equivalent of the exponential value.
4. Now, I will remove some of the columns created ("Exponent_split_1," Exponent_split_2") during this process to get the result.
Let's consider a dataset with a column that includes numbers, decimals, and values in exponential notation. When imported into DataPrep, the column is identified as a numeric datatype, but the exponential values are marked as invalid. To rectify this, we need to convert the exponential values into their decimal equivalents to make them valid. To achieve this, you can use the Split transforms to split the column with exponential values, Fill the empty cells with "0" and then apply the Formula transforms to the split columns.
1. Import your dataset into DataPrep from the required data source.
The dataset contains numbers, decimals, and values in exponential notation in the Value column.
2. Now, use the Split transform on the Value column with the numbers, decimals, and exponential values.
2. DataPrep allows you to fill the empty cells in a column using the Fill empty cells transform. Fill the empty cells with value 0 using the following steps.
3. After applying the split transform, let's apply Formula transform on the split columns to get the decimal equivalent of the exponential value.
5. Now we have a clean dataset with the decimal equivalent of the exponential values.
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