Organizing, Visualizing and Describing Data - created from Mind Map

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Classify Data

Central Tendency

Dispersion

Shape Of The DIstributions

Correlation between two variables

Statistical perspective

How they're collected

Numerical Data (Quantitative Data)

Catergorical Data (Quanlitative Data)

Def: Represent measured or counted quantities as a number

Continuous Data (Any numerical data)

Discrete Data (Finte Number)

Def: Describe a quality or characteristic

Nominal Data: Not amenable to being organized in a logical order

Ordinal Data: Can be logically ordered or ranked

Time series Data: collected over time

Cross-sectional Data: Collected at a point in time

Panel Data: a mix of Time and Cross

Mean

Mode: Most frequently occuring

Median: Middle item

Quantile: divide the distribution into

Arithmetic Mean: Average

Weighted Mean: arises repeatedly in portfolio analysis

Geometric Mean: Used to average rates of change over time or to compute the growth rate of a variable

Harmonic Mean: may be viewed as a special type of weighted mean

Quartiles: into quarters

Quintiles into fifths

deciles into tenths

Percentiles into hundredths

Mean Absolute Deviation

Variance

Standard Sample Deviation: the square root of the variance

Sample Target Downside/ Semi Deviation

Coefficient of Variation: permits direct comparisons of dispersion across different datasets

Sample Variance

Variance

Normal DIstribution

Skewed DIstribution

Kurtosis

Mean, Median and Mode are equal

Positively Skewed

Negatively Skill

Mesokurtic

Flatykurtic

Leptokurtic

Covariance