unidata

unidata is a Python library geared towards helping university research assistants with automating the cleaning of low quality data sets in preparation for advanced machine learning analysis.

Importing the unidata module allows you to use the unidata module's functions to automate the data cleaning process.

unidata benefits

As a university research assistant, you might be required to process, collate, and analyze data such as surveys for research study coordinators. When you receive a survey from a research study participant, you are receiving raw data. You might have to perform several tasks to make that raw data usable in the study coordinators' research.

An example task could be checking a file for invalid values or formatting columns so that you can perform mathematical operations on those columns.

If you have a lot of data to process, munging that data programmatically is much more efficient than munging that data manually. With a more automated solution, you can reduce your time spent processing each file and the likelihood for human error

Example: Using format_currency_entries()

Calling the format_currency_entries() prepares raw data columns that contain unwanted characters for further data analysis.

You can use format_currency_entries() to do the following:

• Remove the dollar sign ($) from specified column values.
• Convert the values in any specified columns from the object data type to the float64 data type.
• Round each value in specified columns to the nearest hundredth.