Descriptive statistics

Descriptive statistics: is one of the main branches of data analytics. It is answering “what happens in the data?”

  1. ⁠Measure of central tendency,
  2. ⁠Measure of variation or despersion,
  3. ⁠Measure of shapes,
  4. ⁠Measure of position, and
  5. ⁠Measure of frequency
  1. Data cleaning,
  2. Data transfromation,
  3. Data measurement,
  4. Data validation, and
  5. Data visualization,

measure of central tendency

measure of central tendency acting as the back bone of the descriptive statistics.

7 main elements are the foundations of the central tendency:

  • mean,
  • mode,
  • median,
  • mid-rainge,
  • maximu,
  • minimum, and
  • mad

mean

in statistics, there are more than 7 types of mean including:

  1. Arithmetic mean,
  2. Geometric mean,
  3. Harmonic mean,
  4. trimmed mean, and
  5. Weighted mean

\[x^2=x^n-\alpha+\eta-\beta\]

x<-c(11,12,11,14,11,13,14,16,17,11,11)
summary(x)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   11.00   11.00   12.00   12.82   14.00   17.00
boxplot(x)

plot(density(x))

hist(x)