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{ | ||
"action plan strategies dsrm04": 0.14729358880341828, | ||
"ipr and ethical issues dsdm06": 0.06979013802166481, | ||
"complex data visulization dsda06": 0.05036823755848768, | ||
"improve existing services dsdk02": 0.16214824940022457, | ||
"new data analytics applications dseng06": 0.17088954165451378, | ||
"contribution to research objectives dsrm05": 0.15212617127717568, | ||
"customer data analysis dsdk05": 0.11748348126851409, | ||
"data collection and integration dsdm03": 0.12012092376169685, | ||
"participation financial decisions dsdk03": 0.3115664501338832, | ||
"innovative ideas development dsrm06": 0.08759777728374989, | ||
"systematic study dsrm02": 0.23488655591648602, | ||
"data models dsdm02": 0.09176347394357641, | ||
"engineering principles dseng01": 0.18127054565891734, | ||
"analytic support to other organisation dsdk04": 0.16906242142163008, | ||
"predictive analytics dsda01": 0.2629690532588154, | ||
"relational and non-relational databases dseng04": 0.1615024645988167, | ||
"statistical techniques dsda02": 0.24664371573846036, | ||
"analytics for decision making dsda03": 0.14150408093732084, | ||
"computational science dseng02": 0.18042291840332686, | ||
"repository of analysis history dsdm04": 0.07265828141721652, | ||
"scientific method dsrm01": 0.07274431582440816, | ||
"data management plan dsdm01": 0.07348400822341768, | ||
"big data analytics platform dsda05": 0.07685600164446506, | ||
"devise new applications dsrm03": 0.23474809512535283, | ||
"business process dsdk01": 0.2374214586636118, | ||
"security service management dseng05": 0.09944975445102881, | ||
"data blending dsda04": 0.11077596732331448, | ||
"analysis tools for decision making dseng03": 0.19934145188896019, | ||
"data curation dsdm05": 0.11508241305581697, | ||
"marketing data analysis dsdk06": 0.18921848770830288 | ||
} |
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#!/bin/bash | ||
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HOST=localhost | ||
PORT=9999 | ||
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curl -X GET http://$HOST:$PORT/e-co2/average/course | jq . > courseAvg.json | ||
curl -X GET http://$HOST:$PORT/e-co2/average/job | jq . > jobAvg.json |
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set terminal svg | ||
set output 'simple.1.svg' | ||
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unset border | ||
set polar | ||
set angles degrees | ||
set term pngcairo enhanced size 800,800 | ||
set output 'graph_eff_10_3_accuracy_spider.png' | ||
set xtics axis | ||
set ytics axis | ||
set grid polar 90 | ||
set style line 10 lt 1 lc 0 lw 0.3 # line style for the grid | ||
set grid ls 10 | ||
set xrange[-1.5:1.5] | ||
set yrange[-1.5:1.5] | ||
set size square | ||
set lmargin 12 | ||
set rmargin 12 | ||
set key font ',12' | ||
set title font ',20' | ||
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set_label(x, text) = sprintf("set label '%s' at (1.8*cos(%f)), (1.7*sin(%f)) center", text, x, x) #this places a label on the outside | ||
eval set_label(0, "Answer 1") | ||
eval set_label(90, "Answer 2") | ||
eval set_label(180, "Answer 3") | ||
eval set_label(270, "Answer 4") | ||
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set linetype 1 lc rgb 'blue' lw 2 pt 7 ps 2 # right, post | ||
set linetype 2 lc rgb 'red' lw 2 pt 7 ps 2 # wrong, post | ||
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plot "answers_in_post.csv" using 1:2 title '(IN, R2)' with lp lt 1 |