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Pharmacy 2016 Paper PO05A Data Preparation Primer: Getting Your Data Ready for Submission Janet Steiner, SAS Institute, New Canaan, CT ABSTRACT Does your data conform to industry standards? Is it
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How to fill out a data preparation primer

How to fill out a data preparation primer
01
Step 1: Start by gathering all the necessary data that needs to be prepared for analysis. This can include structured or unstructured data from various sources.
02
Step 2: Clean the data by removing any duplicate entries, correcting any errors or inconsistencies, and dealing with missing values.
03
Step 3: Transform the data by applying data normalization techniques, such as scaling or standardization, to ensure consistency and comparability.
04
Step 4: Perform data integration if required, by combining multiple datasets into one cohesive dataset for analysis.
05
Step 5: Enhance the data by adding relevant features, variables, or calculated fields that can provide more insights during analysis.
06
Step 6: Validate the prepared data by conducting quality checks to ensure accuracy, completeness, and reliability.
07
Step 7: Document the data preparation process, including the steps taken, assumptions made, and any modifications or adjustments done to the original data.
08
Step 8: Communicate the prepared data to the intended audience or users in a format that is easy to understand and use, such as reports, visualizations, or interactive dashboards.
Who needs a data preparation primer?
01
Data analysts and scientists who work with large datasets and need to prepare the data before analysis.
02
Business analysts who rely on accurate and well-prepared data for making data-driven decisions.
03
Data engineers who need to create pipelines and workflows for data preparation.
04
Data-driven organizations that want to ensure the quality and reliability of their data for decision-making purposes.
05
Researchers and academics who need to clean and prepare data for research studies or experiments.
06
Data enthusiasts who want to gain insights and make predictions from their own datasets.
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What is a data preparation primer?
A data preparation primer is a document that outlines the steps and processes involved in getting data ready for analysis or use in a project.
Who is required to file a data preparation primer?
Anyone responsible for preparing data for analysis or use in a project is required to file a data preparation primer.
How to fill out a data preparation primer?
To fill out a data preparation primer, one must provide detailed information on the steps taken to prepare the data, any tools or software used, and any challenges or issues encountered.
What is the purpose of a data preparation primer?
The purpose of a data preparation primer is to document the process of getting data ready for analysis, to ensure transparency and reproducibility.
What information must be reported on a data preparation primer?
Information such as the data sources used, data cleaning steps taken, data transformation processes, and any data quality checks must be reported on a data preparation primer.
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