Review_03_3_class

Data types

Numerical Data

• mean,median calculations are possible
  

1. Continuous Data - float type
   -distribution analysis
   -regression analysis
   -ex-
   -height=[156.2, 168.8, 180.1]
2. Discrete Data -int

• can count data
• frequency analysis
  -ex-
  -patient_counts=[10, 25, 15]

Categorical Data

• None calculable
• Frequency & Proportions

1. Ordinal Data - clear rank
   -clear logical order between categories
   -statistical metrics
   -ex-
   -pain_level =['none','normal','serious']
2. Nominal Data - no rank, just group
   -no natural order
   -frequency analysis
   -ex-
   genders=['male','female','male']

satisfaction_scores = [1, 2, 3, 4, 5, 3, 4, 4, 5, 3]
satifs_series = pd.Series(satisfaction) ## list -> pandas Series
satifs_median = satifs_series.median() ## 중간값 median
satifs_mode = satifs_series.mode() ## 최빈값 most frequent
satifs_count = satifs_series.value_counts() ##빈도수 frequency

ext
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