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> check list and assessments for SAS
check list and assessments for SAS
General Preparation
Ensure SAS software is installed and updated to the latest version.
Verify system requirements for optimal performance.
Gather necessary data files and resources.
Data Import
Identify the source of the data (CSV, Excel, database, etc.).
Use appropriate SAS procedures (e.g., PROC IMPORT) to load data.
Check for successful data import and review logs for errors.
Data Cleaning
Identify and handle missing values.
Remove duplicates from the dataset.
Standardize data formats (e.g., date formats, categorical variables).
Data Exploration
Generate summary statistics using PROC MEANS or PROC FREQ.
Create visualizations (e.g., histograms, scatter plots) to understand data distribution.
Identify outliers and assess their impact on analysis.
Data Transformation
Create new variables as needed using DATA steps.
Normalize or standardize variables if required.
Split datasets into training and testing sets if applicable.
Statistical Analysis
Define the statistical tests or models to be used (e.g., regression, ANOVA).
Execute the analysis using appropriate SAS procedures (e.g., PROC REG, PROC ANOVA).
Interpret results and check for assumptions (e.g., normality, homoscedasticity).
Reporting Results
Summarize findings in a clear and concise manner.
Create visual representations of results (e.g., graphs, tables).
Prepare a report or presentation for stakeholders.
Validation and Review
Review code for accuracy and efficiency.
Validate results with a peer or supervisor.
Ensure reproducibility of analysis by documenting code and steps.
Finalization
Save and backup all code and output files.
Archive datasets used in the analysis.
Prepare for any follow-up analyses or requests from stakeholders.
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