Interesting but the data is a fantasy. HADCRUT4 is a blend of CRUTEM4 land-surface air temperature dataset and the HadSST3 sea-surface temperature (SST) dataset. I can't believe the entire world, including places man had never explored or sailed, had accurate thermometers recording every year. The graph should be labeled "for entertainment only". The 2016 bump is an El Nino phenomena that doesn't upset the political climate so it will not be corrected and homogenized and gridded out of existence.

Thanks for this great data visualization. I just joined Wolfram pro in order to try to understand the temperature spike starting in October, 2015. Below is the quarterly data from NASA (http://data.giss.nasa.gov/gistemp/tabledata_v3/GLB.Ts+dSST.txt) from 1977-2016 I plotted these with Excel and came up with the following graph.

I would appreciate any thoughts/analysis of this. I am still learning Wolfram and don't know how to enter a data file this large for Wolfram statistical analysis.

15 27 23 9 8 14 -5 8 6 12 10 27 40 32 24 23 39 35 33 18 21 7 9 14 45 36 22 28 21 24 12 13 3 15 11 12 28 27 13 9 32 23 36 32 49 46 40 30 28 29 27 29 39 28 37 39 44 42 49 37 40 34 16 5 32 30 21 13 18 31 31 40 55 40 47 42 35 33 37 29 36 42 44 62 69 65 72 47 57 33 38 42 44 52 42 35 40 56 54 59 68 71 56 59 56 58 56 65 67 56 38 63 60 67 65 77 65 53 63 69 81 71 60 61 37 59 51 66 56 59 69 71 72 85 64 71 50 61 69 59 49 67 61 76 58 60 63 75 63 80 68 81 82 80 76 96 119

Note that the quarterly data for Apr, May, and June will come out in another week or two. So far the average of April and May is 120.

Dear George,

you are quite right, sometimes there are issues with Interpreter when applied to many entries. In fact I have another version where I use a bit more of input modification and then the function DateObject instead. This is much faster and never appears to cause problems.

Interpreter is more concise though and takes away lot of the fiddling with the data. I don't think that this is an issue of the OS or laptop performance. I used simple MacBook to generate the plot, but also checked on a couple of MacBook Pros, an iMac, a windows machine and a MacPro. The internet speed seems to be important. In another post people suggested that also the Wolfram Server you connect to is quite important for the performance.

Best wishes,

Marco

The simplicity of this is fascinatingly impressive and brutal. Reminds me the films where characters are forced to grasp for a thin layer of air at the ceiling in a tank flooded with water. Nicely done.