Question

1- (i) Use the Python NumPy library to simulate a normally distributed one-dimensional variable "x" of 10000 values, (ii) convert it into a Python Pandas Series, (iii) then draw its histogram, (vi) explain why we use the histogram to visualize data. 2- A revenue report of a store shows the revenues for January, February, March, April, and May as 75305, 46191, 55980, 37892, and 89376 respectively. (i) create a Python data frame with a single column with "revenues" as the column name and the months as index and display it. (ii) draw a bar chart for the revenues. (iii) Draw a pie chart for the revenues.

          1- (i) Use the Python NumPy library to simulate a normally distributed one-dimensional variable
"x" of 10000 values, (ii) convert it into a Python Pandas Series, (iii) then draw its histogram, (vi)
explain why we use the histogram to visualize data.
2- A revenue report of a store shows the revenues for January, February, March, April, and May as
75305, 46191, 55980, 37892, and 89376 respectively.
(i) create a Python data frame with a single column with "revenues" as the column name
and the months as index and display it.
(ii) draw a bar chart for the revenues.
(iii) Draw a pie chart for the revenues.

1- (i) Use the Python NumPy library to simulate a normally distributed one-dimensional variable
"x" of 10000 values, (ii) convert it into a Python Pandas Series, (iii) then draw its histogram, (vi)
explain why we use the histogram to visualize data.
2- A revenue report of a store shows the revenues for January, February, March, April, and May as
75305, 46191, 55980, 37892, and 89376 respectively.
(i) create a Python data frame with a single column with "revenues" as the column name
and the months as index and display it.
(ii) draw a bar chart for the revenues.
(iii) Draw a pie chart for the revenues.

Added by Marcos B.

Question

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