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DATA SUMMARIZATION

DATA SUMMARIZATION AND IT'S TYPES

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DATA SUMMARIZATION

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  1. Data Summarization and types . . .

  2. Why Summarize Data? • Data summarization provides numerous benefits. • It simplifies complex data sets, revealing key insights. . • It supports better decision-making and pattern identification. .

  3. Types of Data Data can be broadly classified into two main types. • Categorical data represents qualities or characteristics. • Numerical data represents quantities or measurements. Categorical Numerical • Names • Discrete • Labels • Continuous • Categories • Measurements

  4. Summarizing Categorical Data • Frequency tables and charts are useful for categorical data. • They show the distribution of different categories. • They identify the most and least frequent categories. Frequency Table Counts and percentages for each category. Bar Chart Visual representation of category frequencies. Pie Chart Proportion of each category in the whole.

  5. Central Tendency • Measures of central tendency summarize numerical data. • They indicate the typical or central value. • Common measures include mean, median, and mode. Mean Median Average of all values. Middle value. Mode Most frequent value.

  6. Visualizing Data • Charts and graphs help visualize summarized data. • They reveal patterns and trends. • Choose the right chart for your data type and objective. Line Chart Scatter Plot Bar Chart Pie Chart

  7. Applications of data summarization techniques: • Business Intelligence:Summarizing sales or customer data to generate dashboards and reports.- • Healthcare:Condensing patient records to analyze treatment outcomes.- • Finance:Summarizing transaction data for fraud detection or investment analysis.- • Marketing:Analyzing user behavior to optimize campaigns.- • Education: Summarizing student performance data for insights on academic progress

  8. THANK YOU

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