# Data Parsing

Akkio works best with comma delimited, flat datasets. However, you may be able to get around this requirement with Chat Data Prep.

<details>

<summary>Remove Non-numeric Characters</summary>

![](/files/V1e01ApgDbm6vcoJq1Pw)

Remove symbols that may impact analysis and model building.

**Example Prompt:**\
Remove all non-numeric characters, such as currency symbols, commas, apostrophes, and quotation marks, from numerical values in the dataset. Ensure that spaces and other necessary characters in non-numerical text remain unaffected.

**AI Interpretation:**\
The transform function removes all non-numeric characters from the values in each column of the dataset.

Tips:

* Useful for when symbols or punctuation in the data may be affecting analysis.
* Columns to be changed may need to be specified.

</details>

<details>

<summary>Semicolon Deiminated Data</summary>

<img src="/files/Y1Jq5k86NgT4836AS5eA" alt="" data-size="original">

**Example Prompt:**\
Read each ; as a delimiter.

**AI Interpretation:**\
The transform function splits a string column into multiple columns based on a delimiter. Each value in the string is separated by a semicolon (;) and is split into separate columns in the resulting dataset.

**Tips:**

* Akkio will always assume comma delimitation on upload.
* The delimiter is likely the issue if all of your headers are listed as a single column header.

</details>

<details>

<summary>Nested Datasets</summary>

<img src="/files/puKyZv6yEoxdgAftQbAs" alt="" data-size="original">

**Exapmple Prompt:**\
Parse the column "client" as a json array. Take the first element of the array and make new columns based on the parsed json.

**AI Interpretation:**\
The transform function converts a column in the dataset from a string representation of a list of dictionaries to separate columns for each key-value pair in the dictionaries.

**Tips:**

* If the nested fields are consistent over rows, CDP may be used to generate a rule to unnest them into separate columns.

</details>


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