Air Data Set for Spotfire Examples

Use this data set for the task for learning to write TERR expression functions in a custom expression in Spotfire. This data set has four columns taken from an environmental study that measured ozone, solar radiation, temperature, and wind speed for five months in 1973 in the New York City area.

Use this data set to build the example in Aggregating Binned Weather Data Using TERR in Spotfire.

Tip: You can copy (CTRL+C) the contents of the sample data table and paste it (CTRL+V) into the Spotfire user interface.

Table 1. air data set
ozone	radiation	temperature	wind
3.44821724038273	190	67	7.4
3.30192724889463	118	72	8
2.28942848510666	149	74	12.6
2.6207413942089	313	62	11.5
2.84386697985157	299	65	8.6
2.66840164872194	99	59	13.8
2	19	61	20.1
2.51984209978975	256	69	9.7
2.22398009056931	290	66	9.2
2.41014226417523	274	68	10.9
2.6207413942089	65	58	13.2
2.41014226417523	334	64	11.5
3.23961180127748	307	66	12
1.81712059283214	78	57	18.4
3.10723250595386	322	68	11.5
2.22398009056931	44	62	9.7
1	8	59	9.7
2.22398009056931	320	73	16.6
1.5874010519682	25	61	9.7
3.1748021039364	92	61	12
2.84386697985157	13	67	12
3.55689330449006	252	81	14.9
4.86294413109428	223	79	5.7
3.33222185164595	72	12.6	7.4
3.07231682568585	127	82	9.7
4.14081774942285	291	90	13.8
3.39121144301417	323	87	11.5
2.84386697985157	148	82	8
2.75892417638112	191	77	14.9
3.33222185164595	284	72	20.7
2.71441761659491	37	65	9.2
2.28942848510666	120	73	11.5
2.35133468772076	137	76	10.3
5.12992784003009	269	84	4
3.65930571002297	248	85	9.2
3.1748021039364	236	81	9.2
4	175	83	4.6
3.41995189335339	314	83	10.9
4.25432086511501	276	88	5.1
4.59470089220704	267	92	6.3
4.59470089220704	272	92	5.7
4.39682967215818	175	89	7.4
2.15443469003188	264	73	14.3
3	175	81	14.9
1.91293118277239	48	80	14.3
3.63424118566428	260	81	6.9
3.27106631018859	274	82	10.3
3.93649718310217	285	84	6.3
4.29084042702621	187	87	5.1
3.97905720789639	220	85	11.5
2.51984209978975	7	74	6.9
4.30886938006377	294	86	8.6
4.7622031559046	223	85	8
2.71441761659491	81	82	8.6
3.73251115681725	82	86	12
4.34448148576861	213	88	7.4
3.68403149864039	275	86	7.4
4	253	83	7.4
3.89299641587326	254	81	9.2
3.39121144301417	83	81	6.9
2.0800838230519	24	81	13.8
2.51984209978975	77	82	7.4
4.9596756638423	255	89	4
4.46474509558454	229	90	10.3
4.79141985706278	207	90	8
3.53034833532606	192	86	11.5
3.03658897187566	273	82	11.5
4.02072575858906	157	80	9.7
2.80203933065539	71	77	10.3
3.89299641587326	51	79	6.3
2.84386697985157	115	76	7.4
3.14138065239139	244	78	10.9
3.53034833532606	190	78	10.3
2.75892417638112	259	77	15.5
2.0800838230519	36	72	14.3
3.55689330449006	212	79	9.7
5.51784835276224	238	81	3.4
4.17933919638123	215	86	8
4.23582358425489	203	97	9.7
4.90486813152402	225	94	2.3
4.37951913988789	237	96	6.3
4.39682967215818	188	94	6.3
4.57885697021333	167	91	6.9
4.27265868169792	197	92	5.1
4.17933919638123	183	93	2.8
4.49794144527541	189	93	4.6
3.60882608013869	95	87	7.4
3.1748021039364	92	84	15.5
2.71441761659491	252	80	10.9
2.84386697985157	220	78	10.3
2.75892417638112	230	75	10.9
2.88449914061482	259	73	9.7
3.53034833532606	236	81	14.9
2.75892417638112	259	76	15.5
3.03658897187566	238	77	6.3
2.0800838230519	24	71	10.9
2.35133468772076	112	71	11.5
3.58304787101595	237	78	6.9
2.6207413942089	224	67	13.8
2.35133468772076	27	76	10.3
2.88449914061482	238	68	10.3
2.51984209978975	201	82	8
2.35133468772076	238	64	12.6
2.84386697985157	14	71	9.2
3.30192724889463	139	81	10.3
1.91293118277239	49	69	10.3
2.41014226417523	20	63	16.6
3.10723250595386	193	70	6.9
2.41014226417523	191	75	14.3
2.6207413942089	131	76	8
2.71441761659491	223	68	11.5