Problem 1: Given the dataset produce the following tables: a. A table where all rows (samples) with "N/A" are removed. b. Translate months value to words (e.i. 1 = January, 2 = February, etc.) c. A table based on Solar.R of less than 100 but having a temperature of greater than 80. d. A table without the column Ozone and where the number of Day is in Decreasing order.

Np Ms Office 365/Excel 2016 I Ntermed
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Chapter8: Working With Advanced Functions
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use this csv file in python jupyters notebook https://drive.google.com/file/d/13jI_Keq5AZrGrMAhYYrrp6krN2zmGcIX/view

Problem 1: Given the dataset produce the following tables:
a. A table where all rows (samples) with "N/A" are removed.
b. Translate months value to words (e.i. 1 = January, 2 = February, etc.)
c. A table based on Solar.R of less than 100 but having a temperature of greater than
80.
d. A table without the column Ozone and where the number of Day is in Decreasing
order.
Transcribed Image Text:Problem 1: Given the dataset produce the following tables: a. A table where all rows (samples) with "N/A" are removed. b. Translate months value to words (e.i. 1 = January, 2 = February, etc.) c. A table based on Solar.R of less than 100 but having a temperature of greater than 80. d. A table without the column Ozone and where the number of Day is in Decreasing order.
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