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BayaniClune2016 food lca.svg
English: Global Warming Potential of Food Categories. Values are from a systematic review of Life Cycle Assessment studies of various food products. Boxes represent: Q1-Q3 of the values, candlesticks: Min-Max,vertical line: median.
The data is from table 4 of Stephen Clune, Enda Crossin, Karli Verghese: Systematic review of greenhouse gas emissions for different fresh food categories. In: Journal of Cleaner Production. 2016. DOI: 10.1016/j.jclepro.2016.04.082
Deutsch: Treibhauspotential von Lebensmittelgruppen. Die Werte stammen aus einer systamtischen Übersicht einer Vielzahl von Lebenszyklusanalysen. Balken stellen Q1-Q3 der gefundenen Werte dar, Stifte Min-Max, die vertikale Linie den Median.
Daten aus Tabelle 4 in: Stephen Clune, Enda Crossin, Karli Verghese: Systematic review of greenhouse gas emissions for different fresh food categories. In: Journal of Cleaner Production. 2016. DOI: 10.1016/j.jclepro.2016.04.082
Then the plot has been created by copying the data of Clune et. al (2016), Table 4, into a colon separated text file and adding the row number as the first column
#nr;name;mean;median;stddev;deviation from mean;min;max;Q1;Q3;No of LCA studies;No. of GWP values
1;Vegetable (field grown);0.37;0.47;0.39;83%;0.04;2.54;0.19;0.60;33;140
2;Fruit (all field grown);0.42;0.50;0.32;64%;0.08;1.78;0.28;0.63;77;250
3;Cereals;0.50;0.53;0.22;42%;0.11;1.38;0.38;0.63;31;90
4;Legumes and Pulses;0.51;0.66;0.45;67%;0.15;2.46;0.36;0.83;16;51
5;Fruit and vegetable\n(passive greenhouse);1.10;1.02;0.49;48%;0.32;1.94;0.54;1.35;5;15
6;Tree nuts combined;1.20;1.42;0.93;66%;0.43;3.77;0.61;2.13;7;21
7;Milk: world average;1.29;1.39;0.58;41%;0.54;7.50;1.14;1.50;77;262
8;Fruit and vegetable\n(heated greenhouse);2.13;2.81;1.61;57%;0.84;7.4;1.74;3.7;18;53
9;Rice;2.55;2.66;1.29;48%;0.66;5.69;1.64;3.08;12;27
10;Eggs;3.46;3.39;1.21;36%;1.30;6.00;2.45;4.05;19;38
11;Fish: all species combined;3.49;4.41;3.62;82%;0.78;20.86;1.99;5.16;47;148
12;Chicken;3.65;4.12;1.72;42%;1.06;9.98;2.77;5.31;29;95
13;Cream;5.64;5.32;1.62;31%;2.10;7.92;3.82;7.14;3;4
14;Pork: world average;5.77;5.85;1.63;28%;3.20;11.86;4.50;6.59;38;130
15;Prawns/shrimp;7.80;14.85;12.37;83%;5.25;38.00;6.76;20.20;7;11
16;Cheese;8.55;8.86;2.07;23%;5.33;16.35;7.79;9.58;22;38
17;Butter;9.25;11.52;7.37;64%;3.70;25.00;7.28;12.41;4;8
18;Lamb: world average;25.58;27.91;11.93;43%;10.05;56.70;17.61;33.85;22;56
19;Beef: world average;26.61;28.73;12.47;43%;10.74;109.5;22.26;31.57;49;165
and then running the following script with Gnuplot 4.4:
setterminalsvgenhancedsize1000800fname"Liberation Sans"fsize11setoutput"Clune2016_food_lca.svg"settitle"Greenhouse impact across Food Categories"font"Liberation Sans, 28"setdatafilemissing'"#N/A"'setdatafileseparator";"setnokeysetlabel'Clune, Crossin, Verghese (2016)'atscreen0.5,0.95centersetobj1rectanglebehindfromscreen0,0toscreen1,1setobj1fillstylesolid1.0fillcolorrgbcolor"white"setobj2rectanglebehindfromgraph0,0tograph1,1setobj2fillstylesolid1.0fillcolorrgbcolor"light-blue"setgridnoxticsyticsmyticslt0lw0.5lcrgb"grey90"setyrange[0:40]setxrange[0:20]setxticsoutnomirrorrotateby-45setyticsoutmirror0,5,40setmytics5setylabel'GWP in kg CO_2 / kg produce'setboxwidth0.5setstylefillsolid1.0borderrgb'grey10'plot"clune2016_foodlca_table4.txt"using1:9:8:7:10:xticlabels(2)linecolorrgb"red30"withcandlestickswhiskerbars,\
"clune2016_foodlca_table4.txt"using1:3:3:3:3withcandlestickslt-1lw2notitle
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