Diamonds Dataset A data set “diamonds-m.csv” containing the prices and other attributes of almost 54,000 diamonds and 10 variables:
id: row id
price: price in US dollars ($326--$18 ,823)
carat: weight of the diamond (0.2--5.01)
cut: quality of the cut (Fair, Good, Very Good, Premium, Ideal) color diamond color, from J (worst) to D (best)
clarity: a measurement of how clear the diamond is (IF (best) , VVS1, VVS2, VS1 , VS2 , SI1, SI2 , I1 (worst)) popularity how popula r i s similar diamond with these features Good, Fair Poor.
x: length in mm (0--10.74)
y: width in mm (0--58.9)
z: depth in mm (0--31.8)
depth: depth from top to bottom [ideal dep th = z / mean(x, y)]
table: width of top of diamond relative to widest point.
Use Python and ca rry ou t Exploratory Data Analysis (EDA) / Visual Data Analysis (VDA) on the data set diamond s-m.csv. In this data set the column “price” depends on all the other column.Provide answers to following questions.