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441707
EDA - Visualisation
Description
Bsc Hons Data Mining Mind Map on EDA - Visualisation, created by Steve Hiscock on 15/12/2013.
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data mining
data mining
bsc hons
Mind Map by
Steve Hiscock
, updated more than 1 year ago
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Created by
Steve Hiscock
about 12 years ago
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Resource summary
EDA - Visualisation
Basic Plots
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
Distribution Shapes
Attachments:
Distribution Types
Bulk of Density
Modal Values
irregular
Relative Frequency Density - Asymmetrical
Outliers
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
Media attachments
Basic_Plots (image/png)
Relative_Freq_Density (image/png)
Outliers (image/png)
skew_Kurtosis (image/png)
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