New York Air Quality Measurements

1 New York Air Quality Measurements

1.1 Introduction

1.1.1 Description

Daily air quality measurements in New York, May to September 1973.

Usage airquality

1.1.1.1 Format

A data frame with 153 observations on 6 variables.

[,1] Ozone numeric Ozone (ppb) [,2] Solar.R numeric Solar R (lang) [,3] Wind numeric Wind (mph) [,4] Temp numeric Temperature (degrees F) [,5] Month numeric Month (1–12) [,6] Day numeric Day of month (1–31)

1.1.1.2 Details

Daily readings of the following air quality values for May 1, 1973 (a Tuesday) to September 30, 1973.
Ozone: Mean ozone in parts per billion from 1300 to 1500 hours at Roosevelt Island
Solar.R: Solar radiation in Langleys in the frequency band 4000–7700 Angstroms from 0800 to 1200 hours at Central Park
Wind: Average wind speed in miles per hour at 0700 and 1000 hours at LaGuardia Airport
Temp: Maximum daily temperature in degrees Fahrenheit at La Guardia Airport.

1.2 Data Summary

When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

summary(airquality)

##      Ozone           Solar.R           Wind             Temp           Month      
##  Min.   :  1.00   Min.   :  7.0   Min.   : 1.700   Min.   :56.00   Min.   :5.000  
##  1st Qu.: 18.00   1st Qu.:115.8   1st Qu.: 7.400   1st Qu.:72.00   1st Qu.:6.000  
##  Median : 31.50   Median :205.0   Median : 9.700   Median :79.00   Median :7.000  
##  Mean   : 42.13   Mean   :185.9   Mean   : 9.958   Mean   :77.88   Mean   :6.993  
##  3rd Qu.: 63.25   3rd Qu.:258.8   3rd Qu.:11.500   3rd Qu.:85.00   3rd Qu.:8.000  
##  Max.   :168.00   Max.   :334.0   Max.   :20.700   Max.   :97.00   Max.   :9.000  
##  NA's   :37       NA's   :7                                                       
##       Day      
##  Min.   : 1.0  
##  1st Qu.: 8.0  
##  Median :16.0  
##  Mean   :15.8  
##  3rd Qu.:23.0  
##  Max.   :31.0  
##

1.3 Including Plots

require(graphics)
pairs(airquality, panel = panel.smooth, main = "airquality data")

You can also embed plots, for example:

Ozone	Solar.R	Wind	Temp	Month	Day
41	190	7.4	67	5	1
36	118	8.0	72	5	2
12	149	12.6	74	5	3
18	313	11.5	62	5	4
NA	NA	14.3	56	5	5
28	NA	14.9	66	5	6
23	299	8.6	65	5	7
19	99	13.8	59	5	8
8	19	20.1	61	5	9
NA	194	8.6	69	5	10
7	NA	6.9	74	5	11
16	256	9.7	69	5	12
11	290	9.2	66	5	13
14	274	10.9	68	5	14
18	65	13.2	58	5	15
14	334	11.5	64	5	16
34	307	12.0	66	5	17
6	78	18.4	57	5	18
30	322	11.5	68	5	19
11	44	9.7	62	5	20
1	8	9.7	59	5	21
11	320	16.6	73	5	22
4	25	9.7	61	5	23
32	92	12.0	61	5	24
NA	66	16.6	57	5	25
NA	266	14.9	58	5	26
NA	NA	8.0	57	5	27
23	13	12.0	67	5	28
45	252	14.9	81	5	29
115	223	5.7	79	5	30
37	279	7.4	76	5	31
NA	286	8.6	78	6	1
NA	287	9.7	74	6	2
NA	242	16.1	67	6	3
NA	186	9.2	84	6	4
NA	220	8.6	85	6	5
NA	264	14.3	79	6	6
29	127	9.7	82	6	7
NA	273	6.9	87	6	8
71	291	13.8	90	6	9
39	323	11.5	87	6	10
NA	259	10.9	93	6	11
NA	250	9.2	92	6	12
23	148	8.0	82	6	13
NA	332	13.8	80	6	14
NA	322	11.5	79	6	15
21	191	14.9	77	6	16
37	284	20.7	72	6	17
20	37	9.2	65	6	18
12	120	11.5	73	6	19
13	137	10.3	76	6	20
NA	150	6.3	77	6	21
NA	59	1.7	76	6	22
NA	91	4.6	76	6	23
NA	250	6.3	76	6	24
NA	135	8.0	75	6	25
NA	127	8.0	78	6	26
NA	47	10.3	73	6	27
NA	98	11.5	80	6	28
NA	31	14.9	77	6	29
NA	138	8.0	83	6	30
135	269	4.1	84	7	1
49	248	9.2	85	7	2
32	236	9.2	81	7	3
NA	101	10.9	84	7	4
64	175	4.6	83	7	5
40	314	10.9	83	7	6
77	276	5.1	88	7	7
97	267	6.3	92	7	8
97	272	5.7	92	7	9
85	175	7.4	89	7	10
NA	139	8.6	82	7	11
10	264	14.3	73	7	12
27	175	14.9	81	7	13
NA	291	14.9	91	7	14
7	48	14.3	80	7	15
48	260	6.9	81	7	16
35	274	10.3	82	7	17
61	285	6.3	84	7	18
79	187	5.1	87	7	19
63	220	11.5	85	7	20
16	7	6.9	74	7	21
NA	258	9.7	81	7	22
NA	295	11.5	82	7	23
80	294	8.6	86	7	24
108	223	8.0	85	7	25
20	81	8.6	82	7	26
52	82	12.0	86	7	27
82	213	7.4	88	7	28
50	275	7.4	86	7	29
64	253	7.4	83	7	30
59	254	9.2	81	7	31
39	83	6.9	81	8	1
9	24	13.8	81	8	2
16	77	7.4	82	8	3
78	NA	6.9	86	8	4
35	NA	7.4	85	8	5
66	NA	4.6	87	8	6
122	255	4.0	89	8	7
89	229	10.3	90	8	8
110	207	8.0	90	8	9
NA	222	8.6	92	8	10
NA	137	11.5	86	8	11
44	192	11.5	86	8	12
28	273	11.5	82	8	13
65	157	9.7	80	8	14
NA	64	11.5	79	8	15
22	71	10.3	77	8	16
59	51	6.3	79	8	17
23	115	7.4	76	8	18
31	244	10.9	78	8	19
44	190	10.3	78	8	20
21	259	15.5	77	8	21
9	36	14.3	72	8	22
NA	255	12.6	75	8	23
45	212	9.7	79	8	24
168	238	3.4	81	8	25
73	215	8.0	86	8	26
NA	153	5.7	88	8	27
76	203	9.7	97	8	28
118	225	2.3	94	8	29
84	237	6.3	96	8	30
85	188	6.3	94	8	31
96	167	6.9	91	9	1
78	197	5.1	92	9	2
73	183	2.8	93	9	3
91	189	4.6	93	9	4
47	95	7.4	87	9	5
32	92	15.5	84	9	6
20	252	10.9	80	9	7
23	220	10.3	78	9	8
21	230	10.9	75	9	9
24	259	9.7	73	9	10
44	236	14.9	81	9	11
21	259	15.5	76	9	12
28	238	6.3	77	9	13
9	24	10.9	71	9	14
13	112	11.5	71	9	15
46	237	6.9	78	9	16
18	224	13.8	67	9	17
13	27	10.3	76	9	18
24	238	10.3	68	9	19
16	201	8.0	82	9	20
13	238	12.6	64	9	21
23	14	9.2	71	9	22
36	139	10.3	81	9	23
7	49	10.3	69	9	24
14	20	16.6	63	9	25
30	193	6.9	70	9	26
NA	145	13.2	77	9	27
14	191	14.3	75	9	28
18	131	8.0	76	9	29
20	223	11.5	68	9	30

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.

2 Appendices

2.1 Source

2.1.1 Source

The data were obtained from the New York State Department of Conservation (ozone data) and the National Weather Service (meteorological data).

2.1.2 References

Chambers, J. M., Cleveland, W. S., Kleiner, B. and Tukey, P. A. (1983) Graphical Methods for Data Analysis. Belmont, CA: Wadsworth.