QUESTION 1 (Data Exploration)
Data exploration starts with inspecting the dimensionality, and structure of data, followed by
descriptive statistics and various charts like pie charts, bar charts, histograms, and box plots.
Exploration of multiple variables includes grouped distribution, grouped boxplots, scattered plots,
and pairs plots. Advanced exploration presents some fancy visualization using 3D plots, level
plots, contour plots, interactive plots, and parallel coordinates. Refer to Iris data and explore it by
answering the following questions:
i. Check dimension of data and name the variables (from left) using \"Sepal.Length\"
\"Sepal.Width\" \"Petal.Length\" \"Petal.Width\" \"Species\".
ii. Explore Individual variables.
a. Choose \"Sepal.Length\". Provide descriptive statistics (summary) which returns the
minimum, maximum, mean, median, standard deviation, first quartile, third quartile
and interquartile range, skewness and kurtosis. Interpret the output based on
location measure (mean), dispersion measure (standard deviation), shape measure
(skewness).
b. Plot the histogram. Does the distribution of \"Sepal.Length\" is symmetrical?
c. Plot pie chart for \"Species\".
iii. Explore Multiple variables. Consider \"Sepal.Length\" \"Sepal.Width\" \"Petal.Length\"
\"Petal. Width\".
a. Calculate covariance and correlation.
b. Plot side-by-side box plot and whiskers, where it shows the median, first and third
quartiles of a distribution and outliers (if present). Compare the distribution of four
variables and observe the outlier.
c. Plot a matrix of scatter plot. Explain about the correlation of variables.
iv. For advanced exploration, choose \"Sepal.Length\" \"Sepal.Width\" \"Petal.Width\". Produce
3D scatterplot. Explain the plot.