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Data analysis

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A brief description about data analysis.

Published in: Data & Analytics
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Data analysis

  1. 1. DATA ANALYSIS
  2. 2. IMPORTANCE OF DATA ANALYSIS •Structuring the findings from survey research or other means of data collection •Break a macro picture into a micro one •Acquiring meaningful insights from the dataset •Basing critical decisions from the findings •Ruling out human bias through proper statistical treatment
  3. 3. DATA VALIDATION • Intended to provide certain well-defined guarantees for fitness, accuracy, and consistency • Failures or omissions in data validation can lead to data corruption or a security vulnerability. Data validation checks that data are valid, sensible, reasonable, and secure before they are processed
  4. 4. DATA EDITING • Editing is the process of checking and adjusting data for omissions, consistency, and legibility • The editor’s task is to check for errors and omissions on questionnaires or other data collection forms. • When the editor discovers a problem, he or she adjusts the data to make them more complete, consistent, or readable.
  5. 5. TABULATION • Compress the data into rows and columns and relation can be understood. • Simplifies complex data, facilitate comparison, gives identify to the data and reveals pattern
  6. 6. PREPARATION OF TABLES AND GRAPHS
  7. 7. Thank You! Presentation By- Yusuf Khan

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