legendtkl Requirements for Outputs
Data Handling Standards
File Support
- The suite should support various file formats including .csv, .xlsx, .json, and .txt.
- Users should ensure that data files are accessible and correctly formatted before analysis.
General Data Cleaning Guidelines
- Each dataset should be reviewed for completeness and accuracy prior to analysis.
- Remove any duplicate rows and standardize formats where necessary.
Data Analysis Techniques
Fundamental Techniques
- Use descriptive statistics to summarize data distributions.
- Visualize data using bar charts, histograms, and scatter plots.
Reporting Insights
- Compile findings into a report format, summarizing key metrics and insights derived from the analysis.
- Visual elements should be included in reports to enhance understanding of the data.
Documentation Standards
Reporting Procedures
- Clearly document the methods and processes used during data analysis.
- Include references to external sources of data and the methodologies applied.
Version Control
- Maintain versioning of data analyses to track changes and updates over time.