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> convert raw data to knowledge
convert raw data to knowledge
Raw Data Collection
Identify data sources
Collect raw data from identified sources
Ensure data is in a usable format
Data Cleaning
Remove duplicates and irrelevant data
Handle missing values appropriately
Standardize data formats
Data Exploration
Conduct initial data analysis
Use statistical summaries to understand distributions
Identify patterns, trends, and anomalies
Data Transformation
Normalize or scale data if necessary
Create new features based on existing data
Aggregate data for higher-level insights
Data Analysis
Select appropriate analytical methods
Apply statistical tests or machine learning models
Interpret results in the context of the original questions
Knowledge Extraction
Summarize findings in clear terms
Create visualizations to represent insights
Document the analysis process and results
Knowledge Dissemination
Share insights with stakeholders
Prepare reports or presentations
Gather feedback and refine knowledge as needed
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