## Numerical Summaries

To understand the data, we first compute the following numerical summaries:
- Mean and median temperature anomalies for global, Northern Hemisphere, and Southern Hemisphere datasets.
- Standard deviation and range of temperature anomalies to measure variability.

# Load data
global_data <- read_csv(“GLB.Ts+dSST (1).csv”, skip = 1, na = “")
northern_data <- read_csv(“NH.Ts+dSST.csv”, skip = 1, na = "”)
southern_data <- read_csv(“SH.Ts+dSST.csv”, skip = 1, na = “")
zonal_data <- read_csv(“ZonAnn.Ts+dSST.csv”, skip = 1, na = "”)

Giving you csv files to understand the data to do the above things This data is from NASA
GLB.Ts+dSST (1).csv
Global Temperature Anomalies (deg C) AIRS v6 vs. 2007-2016																		
Year	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec	J-D	D-N	DJF	MAM	JJA	SON
2002	*******	*******	*******	*******	*******	*******	*******	*******	-0.094	-0.203	-0.273	-0.243	*******	*******	*******	*******	*******	-0.19
2003	0.035	-0.069	-0.099	-0.14	-0.164	-0.203	-0.191	-0.147	-0.091	0.022	-0.578	0.023	-0.134	-0.156	-0.093	-0.134	-0.181	-0.216
2004	0.059	0.107	-0.08	-0.173	-0.45	-0.229	-0.344	-0.326	-0.252	-0.236	-0.107	-0.14	-0.181	-0.167	0.063	-0.234	-0.299	-0.199
2005	0.041	-0.098	-0.009	-0.013	-0.006	0.012	-0.025	-0.111	-0.069	0.021	-0.022	0.026	-0.021	-0.035	-0.066	-0.009	-0.041	-0.024
2006	-0.018	0.217	-0.054	-0.162	-0.198	-0.003	-0.154	-0.115	-0.176	-0.137	-0.103	-0.056	-0.08	-0.073	0.075	-0.138	-0.091	-0.139

NH.Ts+dSST.csv
N.Hemi Temperature Anomalies (deg C) AIRS v6 vs. 2007-2016																		
Year	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec	J-D	D-N	DJF	MAM	JJA	SON
2002	*******	*******	*******	*******	*******	*******	*******	*******	-0.292	-0.424	-0.347	-0.473	*******	*******	*******	*******	*******	-0.354
2003	-0.094	-0.387	-0.304	-0.311	-0.191	-0.4	-0.267	-0.113	-0.108	0.276	-1.582	-0.029	-0.293	-0.33	-0.318	-0.269	-0.26	-0.471
2004	-0.043	0.113	-0.124	-0.298	-0.482	-0.428	-0.27	-0.385	-0.337	-0.37	-0.161	-0.376	-0.263	-0.234	0.013	-0.301	-0.361	-0.289
2005	-0.064	-0.333	-0.181	-0.07	0.05	-0.04	-0.03	-0.162	0.01	0.022	0.063	-0.055	-0.066	-0.093	-0.258	-0.067	-0.077	0.032
2006	-0.172	0.319	-0.138	-0.268	-0.077	-0.054	-0.18	-0.212	-0.09	-0.043	-0.085	0.036	-0.08	-0.088	0.031	-0.161	-0.148	-0.073

SH.Ts+dSST.csv
S.Hemi Temperature Anomalies (deg C) AIRS v6 vs. 2007-2016																		
Year	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec	J-D	D-N	DJF	MAM	JJA	SON
2002	*******	*******	*******	*******	*******	*******	*******	*******	0.104	0.019	-0.198	-0.013	*******	*******	*******	*******	*******	-0.025
2003	0.163	0.248	0.107	0.031	-0.136	-0.007	-0.116	-0.181	-0.074	-0.232	0.427	0.075	0.026	0.018	0.133	0.001	-0.101	0.04
2004	0.161	0.101	-0.035	-0.049	-0.418	-0.029	-0.418	-0.267	-0.168	-0.103	-0.054	0.097	-0.099	-0.1	0.112	-0.168	-0.238	-0.108
2005	0.145	0.138	0.164	0.045	-0.061	0.064	-0.021	-0.059	-0.149	0.02	-0.107	0.107	0.024	0.023	0.127	0.049	-0.005	-0.079
2006	0.136	0.114	0.03	-0.056	-0.319	0.048	-0.129	-0.019	-0.261	-0.23	-0.122	-0.148	-0.08	-0.059	0.119	-0.115	-0.033	-0.205
2007	0.018	0.037	-0.001	0.037	0.047	0.076	0.035	-0.147	-0.273	-0.236	-0.202	-0.299	-0.076	-0.063	-0.031	0.028	-0.012	-0.237

ZonAnn.Ts+dSST.csv
Annual Temperature Anomalies (deg C) AIRS v6 vs. 2007-2016														
Year	Glob	N.Hemi	S.Hemi	24N-90N	24S-24N	90S-24S	64N-90N	44N-64N	24N-44N	EQU-24N	24S-EQU	44S-24S	64S-44S	90S-64S
2003	-0.134	-0.293	0.026	-0.465	-0.006	0.028	-1.184	-0.248	-0.369	-0.035	0.022	-0.126	0.164	0.22
2004	-0.181	-0.263	-0.099	-0.391	-0.119	-0.054	-1.303	-0.238	-0.188	-0.072	-0.165	-0.094	0.026	-0.095
2005	-0.021	-0.066	0.024	-0.121	0.024	0.018	-0.292	0.123	-0.227	0.017	0.032	-0.145	0.034	0.478
2006	-0.08	-0.08	-0.08	-0.09	-0.107	-0.034	-0.191	-0.07	-0.07	-0.066	-0.148	-0.09	-0.038	0.142
2007	-0.063	-0.05	-0.076	0.011	-0.133	-0.044	0.022	0.155	-0.089	-0.142	-0.124	-0.124	-0.111	0.331
2008	-0.181	-0.223	-0.138	-0.187	-0.25	-0.082	-0.601	-0.021	-0.161	-0.277	-0.223	-0.034	-0.031	-0.328
2009	-0.033	-0.11	0.044	-0.228	0.051	0.05	-0.322	-0.434	-0.059	0.067	0.036	-0.004	0.098	0.117
2010	0.007	0.058	-0.045	0.021	0.057	-0.075	0.259	-0.074	0.005	0.114	0	-0.102	0.091	-0.324