Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

R Programming : I have a CSV data which contains wind speed, air temperature, relative humidity and visibility of a weather station from Jan. 1,

R Programming: I have a CSV data which contains wind speed, air temperature, relative humidity and visibility of a weather station from Jan. 1, 2020 to Jan. 4, 2020

ob_time hour day month wind_speed air_temperature rltv_hum visibility Site
01/01/2020 0:00 0 1 1 24 8 81.8 1000 4
01/01/2020 1:00 1 1 1 20 8 81.8 1000 4
01/01/2020 2:00 2 1 1 24 8 76.3 1000 4
01/01/2020 3:00 3 1 1 26 8 81.8 1000 4
01/01/2020 4:00 4 1 1 26 8 81.8 1000 4
01/01/2020 5:00 5 1 1 28 8 87.3 1000 4
01/01/2020 6:00 6 1 1 26 9 81.2 1000 4
01/01/2020 7:00 7 1 1 20 9 81.2 800 4
01/01/2020 8:00 8 1 1 20 8 87.3 1000 4
01/01/2020 9:00 9 1 1 30 9 81.2 1000 4
01/01/2020 10:00 10 1 1 28 9 81.2 1000 4
01/01/2020 11:00 11 1 1 19 9 81.2 700 4
01/01/2020 12:00 12 1 1 25 9 81.2 1000 4
01/01/2020 13:00 13 1 1 28 9 87.8 1000 4
01/01/2020 14:00 14 1 1 28 9 87.8 1000 4
01/01/2020 15:00 15 1 1 25 9 87.8 900 4
01/01/2020 16:00 16 1 1 22 9 81.2 800 4
01/01/2020 17:00 17 1 1 19 9 81.2 900 4
01/01/2020 18:00 18 1 1 18 9 81.2 1000 4
01/01/2020 19:00 19 1 1 19 9 81.2 1000 4
01/01/2020 20:00 20 1 1 21 8 87.3 1000 4
01/01/2020 21:00 21 1 1 24 8 87.3 1000 4
01/01/2020 22:00 22 1 1 20 8 81.8 1000 4
01/01/2020 23:00 23 1 1 23 8 81.8 1000 4
02/01/2020 0:00 0 2 1 23 8 81.8 1000 4
02/01/2020 1:00 1 2 1 23 9 76 1000 4
02/01/2020 2:00 2 2 1 22 9 81.2 1000 4
02/01/2020 3:00 3 2 1 22 9 81.2 1000 4
02/01/2020 4:00 4 2 1 23 9 81.2 800 4
02/01/2020 5:00 5 2 1 21 9 81.2 600 4
02/01/2020 6:00 6 2 1 16 9 81.2 1000 4
02/01/2020 7:00 7 2 1 19 9 81.2 1000 4
02/01/2020 8:00 8 2 1 24 10 75.6 1000 4
02/01/2020 9:00 9 2 1 25 10 75.6 1000 4
02/01/2020 10:00 10 2 1 27 10 75.6 1000 4
02/01/2020 11:00 11 2 1 24 9 87.8 900 4
02/01/2020 12:00 12 2 1 24 10 81.9 900 4
02/01/2020 13:00 13 2 1 25 9 87.8 1000 4
02/01/2020 14:00 14 2 1 27 9 87.8 1000 4
02/01/2020 15:00 15 2 1 25 9 87.8 1000 4
02/01/2020 16:00 16 2 1 25 9 81.2 1000 4
02/01/2020 17:00 17 2 1 25 9 87.8 1000 4
02/01/2020 18:00 18 2 1 24 9 87.8 1000 4
02/01/2020 19:00 19 2 1 23 7 86.8 270 4
02/01/2020 20:00 20 2 1 22 5 93.5 600 4
02/01/2020 21:00 21 2 1 22 7 81 800 4
02/01/2020 22:00 22 2 1 26 7 65.5 1000 4
02/01/2020 23:00 23 2 1 29 6 75.8 1000 4
03/01/2020 0:00 0 3 1 34 7 65.5 1000 4
03/01/2020 1:00 1 3 1 35 6 75.8 1000 4
03/01/2020 2:00 2 3 1 34 6 65.5 700 4
03/01/2020 3:00 3 3 1 29 5 74.7 1000 4
03/01/2020 4:00 4 3 1 27 5 74.7 600 4
03/01/2020 5:00 5 3 1 28 5 65.4 1000 4
03/01/2020 6:00 6 3 1 22 6 65.5 1000 4
03/01/2020 7:00 7 3 1 27 5 70 1000 4
03/01/2020 8:00 8 3 1 27 5 65.4 1000 4
03/01/2020 9:00 9 3 1 34 5 80.9 1000 4
03/01/2020 10:00 10 3 1 38 5 80.9 900 4
03/01/2020 11:00 11 3 1 41 6 65.5 900 4
03/01/2020 12:00 12 3 1 31 5 74.7 1000 4
03/01/2020 13:00 13 3 1 34 6 75.8 900 4
03/01/2020 14:00 14 3 1 34 4 86.7 600 4
03/01/2020 15:00 15 3 1 30 6 75.8 1000 4
03/01/2020 16:00 16 3 1 32 5 80.9 600 4
03/01/2020 17:00 17 3 1 23 4 86.7 800 4
03/01/2020 18:00 18 3 1 20 4 80.1 1000 4
03/01/2020 19:00 19 3 1 22 5 74.7 900 4
03/01/2020 20:00 20 3 1 26 5 70 1000 4
03/01/2020 21:00 21 3 1 21 5 70 1000 4
03/01/2020 22:00 22 3 1 22 4 80.1 1000 4
03/01/2020 23:00 23 3 1 22 4 80.1 700 4
04/01/2020 0:00 0 4 1 20 4 75.2 900 4
04/01/2020 1:00 1 4 1 21 4 70.4 1000 4
04/01/2020 2:00 2 4 1 21 4 65.6 1000 4
04/01/2020 3:00 3 4 1 23 3 68.9 1000 4
04/01/2020 4:00 4 4 1 25 4 51.3 1000 4
04/01/2020 5:00 5 4 1 16 3 55.5 1000 4
04/01/2020 6:00 6 4 1 12 4 60.8 1000 4
04/01/2020 7:00 7 4 1 13 3 75.7 1000 4
04/01/2020 8:00 8 4 1 4 3 75.7 1000 4
04/01/2020 9:00 9 4 1 3 4 75.2 1000 4
04/01/2020 10:00 10 4 1 3 3 68.9 1000 4
04/01/2020 11:00 11 4 1 7 2 69.1 1000 4
04/01/2020 12:00 12 4 1 4 2 74.5 1000 4
04/01/2020 13:00 13 4 1 1 2 74.5 1000 4
04/01/2020 14:00 14 4 1 0 3 68.9 1000 4
04/01/2020 15:00 15 4 1 5 4 65.6 1000 4
04/01/2020 16:00 16 4 1 8 5 70 1000 4
04/01/2020 17:00 17 4 1 9 5 74.7 1000 4
04/01/2020 18:00 18 4 1 15 4 86.7 1000 4
04/01/2020 19:00 19 4 1 17 5 87.2 1000 4
04/01/2020 20:00 20 4 1 20 6 93.9 1000 4
04/01/2020 21:00 21 4 1 17 8 92.9 1000 4
04/01/2020 22:00 22 4 1 17 8 92.9 1000 4
04/01/2020 23:00 23 4 1 19 8 92.9 1000 4

How do I filter the data with the following 2 criteria using R Programming:

image text in transcribed

The Hutton Criteria occurs in a particular day when both the follwing criteria are met - The two previous days have a minimum temperature of at least 10 C The two previous days have at least six hours of relative humidity of 90% or higher

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image_2

Step: 3

blur-text-image_3

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

Rules In Database Systems Third International Workshop Rids 97 Sk Vde Sweden June 26 28 1997 Proceedings Lncs 1312

Authors: Andreas Geppert ,Mikael Berndtsson

1997th Edition

3540635165, 978-3540635161

More Books

Students also viewed these Databases questions

Question

4. Devise an interview strategy from the interviewers point of view

Answered: 1 week ago