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Mind map

EDA - Visualisation

Steve Hiscock Data Mining Bsc Hons English

EDA - Visualisation

Map content

EDA - Visualisation

  1. Basic Plots

  2. When combining categories in histograms

    • 1. Combine the 2> values
      • 2. Divide the values by the number of bars being represented for that range
        • 3. This will create an averaged set of bars across the range (Changing the shape of the histogram)
    • Bars don't have to be the same width - Its all about AREA.... Not HEIGHT
  3. Distribution Shapes

    • Bulk of Density
    • Modal Values
    • irregular
  4. Relative Frequency Density - Asymmetrical

  5. Outliers

  6. Measures of location

    • Mean
      • Add all the values and divide by the number of values
    • Mode
      • Most common value
      • Modal Class vs. Mode Tables. Can appear differently. Class is important. The resolution/number of bars can better determine the mode
    • Median
      • The middle number
    • Variance = average of squared differences about the mean
      • Always divide by one less than the sample size - Don't include your mean
      • Measures the spread of the data
      • Variance Square Rooted = Standard Deviation
        • How spread out the data is
          • Zero = Max & Min's the same
    • Skew - 0 = Symeteric
    • Kurtosis
      • Tail Fatness - Higher numbers thinner tails

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  • EDA - Visualisation
  • EDA - Visualisation
  • EDA - Visualisation
  • EDA - Visualisation

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Description
Bsc Hons Data Mining Mind Map on EDA - Visualisation, created by Steve Hiscock on 15/12/2013.
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Steve Hiscock
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