Hey there,
I'd like to show two graphs in one diagram but so far I wasn't successful with it. That's why I hope to find some help here:
This is my do-File
and this is the data
at the moment I have the charts this way: I try to find a way to get netherlands FDI inward and outward in once and for Poland the same
Thanks in advance
Nico
I'd like to show two graphs in one diagram but so far I wasn't successful with it. That's why I hope to find some help here:
This is my do-File
Code:
import excel "/Users/nicolasstappen/Desktop/Nico/Studium/Master/5. Semester/Masterarbeit/Daten/tESTall Data in one file nur ab 2019_MN.xlsx", sheet("FDI Flows") firstrow case(lower)
codebook
drop indicator // no information and/or variation
drop measure // no information and/or variation
replace location="belgium" if location=="BEL"
replace location="france" if location=="FRA"
replace location="germany" if location=="DEU"
replace location="ireland" if location=="IRL"
replace location="italy" if location=="ITA"
replace location="netherlands" if location=="NLD"
replace location="poland" if location=="POL"
replace location="spain" if location=="ESP"
replace location="sweden" if location=="SWE"
replace location="united kingdom" if location=="GBR"
rename location partner
//gen fdibalance = inwardvalueus - outwardvalueus FDI Balance nicht sinnvoll
gen periodq_new=.
xtset inwardvalueus
xtset outwardvalueus
gen zeit = yq(floor(period/100), mod(period, 100))
format zeit %tq
sort partner
sort zeit
format %30.0g inwardvalueus // um e's wegzubekommen
format %30.0g outwardvalueus // um e's wegzubekommen
graph twoway line inwardvalueus zeit if partner=="netherlands", title("Netherlands FDI inward") name(graph1) xline(240.33) xline(721) xlabel(, angle(45)) ylabel(, angle(45)) c(L) //Graph
graph twoway line outwardvalueus zeit if partner=="netherlands", title("Netherlands FDI outward") name(graph2) xline(240.33) xline(721) xlabel(, angle(45)) ylabel(, angle(45)) c(L) //Graph
graph twoway line inwardvalueus zeit if partner=="poland", title("Poland FDI inward") name(graph1) xline(240.33) xline(721) xlabel(, angle(45)) ylabel(, angle(45)) c(L) //Graph
graph twoway line outwardvalueus zeit if partner=="poland", title("Poland FDI outward") name(graph2) xline(240.33) xline(721) xlabel(, angle(45)) ylabel(, angle(45)) c(L) //Graph
graph combine graph1 graph2
//graph drop graph1 //only show combined graph
//graph drop graph2 //only show combined graph
//
and this is the data
Code:
* Example generated by -dataex-. For more info, type help dataex clear input str14 partner str7 time double(inwardvalueus outwardvalueus) long period float(periodq_new zeit) "france" "2019-Q1" 15801.803711618 31005.848044239 201901 . 236 "united kingdom" "2019-Q1" -5248.8514548239 5749.1066870852 201901 . 236 "sweden" "2019-Q1" 6274.7067968147 9128.163368902 201901 . 236 "belgium" "2019-Q1" -13358.334266204 3931.4899809694 201901 . 236 "italy" "2019-Q1" 4238.4887495802 6441.9164894212 201901 . 236 "OECD" "2019-Q1" 161328.33199881 260177.28759616 201901 . 236 "ireland" "2019-Q1" -1615.3587820441 10237.322288145 201901 . 236 "spain" "2019-Q1" 10454.494570693 7427.5159520878 201901 . 236 "netherlands" "2019-Q1" 1060.6029922758 14281.245577074 201901 . 236 "poland" "2019-Q1" 8275.1273432293 298.14889759828 201901 . 236 "germany" "2019-Q1" 21841.688122691 64563.536325982 201901 . 236 "germany" "2019-Q2" 17217.91671331 30454.296428971 201902 . 237 "france" "2019-Q2" 9812.3035724145 13524.958811153 201902 . 237 "poland" "2019-Q2" 2724.8959096057 3074.4905899026 201902 . 237 "united kingdom" "2019-Q2" 30228.432873915 6011.9959162838 201902 . 237 "OECD" "2019-Q2" 167210.92761196 88136.030856549 201902 . 237 "netherlands" "2019-Q2" 15892.15304489 -18394.200941453 201902 . 237 "spain" "2019-Q2" -1505.6531960148 8230.1578417105 201902 . 237 "italy" "2019-Q2" -2039.1884025523 -1491.0668308519 201902 . 237 "sweden" "2019-Q2" 1932.973064436 7106.9914021933 201902 . 237 "ireland" "2019-Q2" -8768.6107690585 -66854.360237322 201902 . 237 "belgium" "2019-Q2" -30671.666853241 -34518.0790328 201902 . 237 "belgium" "2019-Q3" 12730.325758424 11978.058882794 201903 . 238 "sweden" "2019-Q3" 139.8068930509 3610.9730432851 201903 . 238 "united kingdom" "2019-Q3" 27280.500255232 -3924.1960183767 201903 . 238 "germany" "2019-Q3" 784.25612896004 -3397.4129631703 201903 . 238 "spain" "2019-Q3" 6084.1822456062 8319.7134221426 201903 . 238 "OECD" "2019-Q3" 196668.96868467 173865.04992055 201903 . 238 "italy" "2019-Q3" 10735.159520878 9612.7952535542 201903 . 238 "netherlands" "2019-Q3" -49262.03094705 -5601.4465946491 201903 . 238 "poland" "2019-Q3" 3713.9714929105 -645.33067664269 201903 . 238 "ireland" "2019-Q3" 33316.914810254 31458.636516288 201903 . 238 "france" "2019-Q3" -1082.783268639 9696.656737914 201903 . 238 "germany" "2019-Q4" 12819.928355536 45668.536885705 201904 . 239 "italy" "2019-Q4" 5210.9448113736 5222.4605395724 201904 . 239 "united kingdom" "2019-Q4" -6814.7013782542 -13916.539050536 201904 . 239 "sweden" "2019-Q4" 763.12143740945 -3747.2900517137 201904 . 239 "netherlands" "2019-Q4" 15533.625856935 23392.128023061 201904 . 239 "belgium" "2019-Q4" 22093.3616926 9304.8248068958 201904 . 239 "poland" "2019-Q4" -1387.6984952679 -1053.367475083 201904 . 239 "OECD" "2019-Q4" 251559.59730321 217603.84313251 201904 . 239 "ireland" "2019-Q4" 135556.92376581 59600.358222322 201904 . 239 "spain" "2019-Q4" 2384.4173290048 848.5391245942 201904 . 239 "france" "2019-Q4" -11431.524926804 -10415.651577658 201904 . 239 "ireland" "2020-Q1" 36471.794871795 -22270.085470085 202001 . 240 "germany" "2020-Q1" 10991.588603989 30822.231339031 202001 . 240 "poland" "2020-Q1" 7228.4598819524 474.10527303831 202001 . 240 "france" "2020-Q1" -4006.4979046969 27735.283869423 202001 . 240 "netherlands" "2020-Q1" -33671.979148718 -13675.39791339 202001 . 240 "spain" "2020-Q1" 7933.9031339031 15716.239316239 202001 . 240 "italy" "2020-Q1" 3470.1732193732 5837.8313390313 202001 . 240 "sweden" "2020-Q1" 21298.739372618 24592.114835445 202001 . 240 "belgium" "2020-Q1" 5030.1994301994 10177.777777778 202001 . 240 "OECD" "2020-Q1" 126824.30365918 159758.07507214 202001 . 240 "united kingdom" "2020-Q1" 16261.382583045 -25543.157624727 202001 . 240 "netherlands" "2020-Q2" -30057.836422792 3391.7362381766 202002 . 241 "ireland" "2020-Q2" 57092.877492877 -11680.911680912 202002 . 241 "france" "2020-Q2" 1600.0318889956 -11504.263278447 202002 . 241 "OECD" "2020-Q2" 133861.55233407 189172.04818954 202002 . 241 "sweden" "2020-Q2" -1134.5646437995 -207.17287208052 202002 . 241 "italy" "2020-Q2" -8091.4472934473 -4257.2603988604 202002 . 241 "germany" "2020-Q2" 9176.4888888889 -6550.7111111111 202002 . 241 "united kingdom" "2020-Q2" -18092.856226754 -23026.80518148 202002 . 241 "spain" "2020-Q2" 9136.1823361823 12279.202279202 202002 . 241 "belgium" "2020-Q2" -20452.421652422 -16949.287749288 202002 . 241 "poland" "2020-Q2" 2422.0255640694 259.20150164959 202002 . 241 "germany" "2020-Q3" 3767.9384615385 -9424.9424501425 202003 . 242 "netherlands" "2020-Q3" -6003.0078951567 -13559.703062108 202003 . 242 "sweden" "2020-Q3" 4047.7974309695 1717.2112012335 202003 . 242 "belgium" "2020-Q3" 14547.008547009 11095.156695157 202003 . 242 "italy" "2020-Q3" -6424.4968660969 4147.4928774929 202003 . 242 "OECD" "2020-Q3" 25018.894871969 123404.23978418 202003 . 242 "spain" "2020-Q3" 2434.188034188 10297.435897436 202003 . 242 "poland" "2020-Q3" 2717.9468821734 126.86127669565 202003 . 242 "ireland" "2020-Q3" -21614.814814815 -30309.971509972 202003 . 242 "france" "2020-Q3" 2713.7502709096 4053.2715817896 202003 . 242 "united kingdom" "2020-Q3" 9637.0398871361 8115.9420289855 202003 . 242 "ireland" "2020-Q4" 10172.07977208 17780.056980057 202004 . 243 "spain" "2020-Q4" -6896.8660968661 -3351.566951567 202004 . 243 "united kingdom" "2020-Q4" 10395.023727075 -24933.948954726 202004 . 243 "germany" "2020-Q4" 40506.47977208 45639.78005698 202004 . 243 "sweden" "2020-Q4" -5085.0733465802 -2103.9773282517 202004 . 243 "OECD" "2020-Q4" 140081.2008905 -96059.128517324 202004 . 243 "poland" "2020-Q4" 1281.3203971068 243.92514911976 202004 . 243 "netherlands" "2020-Q4" -35020.811521368 -165515.39843533 202004 . 243 "france" "2020-Q4" 1842.0480402749 -11855.857090063 202004 . 243 "italy" "2020-Q4" -12522.545868946 -7579.8427350427 202004 . 243 "belgium" "2020-Q4" 14755.555555556 7422.2222222222 202004 . 243 "OECD" "2021-Q1" 238976.30644668 363100.69388938 202101 . 244 "belgium" "2021-Q1" 6323.3207190161 18412.961210974 202101 . 244 "italy" "2021-Q1" 2821.4995269631 4716.1270104068 202101 . 244 "united kingdom" "2021-Q1" 4291.6093535076 18429.160935351 202101 . 244 "ireland" "2021-Q1" -8587.9848628193 18372.75307474 202101 . 244 "germany" "2021-Q1" 8736.5361873226 46582.134578997 202101 . 244 "netherlands" "2021-Q1" -16337.064291627 14184.458890728 202101 . 244 "spain" "2021-Q1" 6453.4058656575 4586.0927152318 202101 . 244 "france" "2021-Q1" 25385.501814107 23865.156705922 202101 . 244 "poland" "2021-Q1" 9535.1622976288 362.0725286629 202101 . 244 "sweden" "2021-Q1" 7698.1193671373 3524.2336974898 202101 . 244 "poland" "2021-Q2" 3885.5754603706 1041.1954886023 202102 . 245 end format %tq zeit
at the moment I have the charts this way: I try to find a way to get netherlands FDI inward and outward in once and for Poland the same
Nico


Comment