In R studio what code do I need to: Read the ‘temperature.txt’ file. This file c
ID: 3832294 • Letter: I
Question
In R studio what code do I need to: Read the ‘temperature.txt’ file. This file contains the following data. • High and low temperature (degree centigrade) • Rainfall (centimeters) • Month (from 1 to 12) • Year (for 20 years - from 1987 – 2005) The first 6 lines of this file are as follows.
temperature lower rain month yr
10.8 6.5 12.2 1 1987
10.5 4.5 1.3 1 1987
7.5 -1 0.1 1 1987
6.5 -3.3 1.1 1 1987
10 5 3.5 1 1987
This file contains 6,940 lines of data.
Create a boxplot of ‘high temperature’ using ‘month’ as a factor variable.
Explanation / Answer
ANS:-an exception is a perception that is numerically far off from whatever is left of the information. While investigating a boxplot, an anomaly is characterized as an information point that is situated outside the wall of the boxplot.
mean.produced sd.produced mean.consumed sd.consumed month
2 7.02 NA 31.5 NA February
3 14.75 7.44 27.8 4.34 March
4 19.70 9.18 29.9 7.34 April
5 20.76 9.62 15.4 6.78 May
6 24.72 7.45 17.8 5.13 June
7 21.08 7.42 18.9 5.22 July
8 20.19 5.57 17.4 1.96 August
9 17.57 6.63 15.0 3.05 September
10 14.76 5.92 17.7 2.72 October
11 6.69 3.73 26.7 4.07 November
12 7.51 4.49 32.3 4.05 December
13 6.50 5.03 28.1 4.11 January
14 8.26 6.10 26.7 4.62 February
15 12.41 6.08 26.2 5.26 March
16 22.58 5.40 24.1 5.01 April
17 18.49 7.42 21.1 3.86 May
18 20.90 6.86 20.0 3.94 June
19 19.78 6.57 17.6 2.19 July
20 17.79 7.25 18.9 3.98 August
21 19.56 3.58 18.1 2.27 September
22 12.27 7.19 17.7 2.64 October
23 6.98 4.94 23.0 5.52 November
24 6.71 3.95 25.8 6.23 December
25 5.97 5.32 24.8 3.65 January
26 9.28 6.33 21.2 3.23 February
27 14.17 6.36 21.3 3.91 March
28 20.19 6.69 18.3 2.94 April
29 18.60 7.49 16.3 2.84 May
30 22.06 5.14 17.6 4.14 June
31 20.42 6.90 21.7 15.46 July
32 20.96 4.35 16.5 1.81 August
33 10.56 7.17 17.1 2.33 September
34 10.25 5.70 18.1 3.14 October
35 8.63 5.22 22.0 2.72 November
36 5.66 5.09 23.4 3.76 December
37 7.31 5.30 23.5 4.16 January
38 10.74 5.46 23.6 3.46 February.
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