Maarten Hermans mhermans

## gist:5bd2034b9ce9faa7bb661ae43fb76972
   class_c4_lbl_nl       d72_2                     n  n_se    pct
   <fct>                 <dbl+lbl>             <dbl> <dbl>  <dbl>
 1 Arbeidersklasse       1 [Totally agree]    1416.  40.1  0.167
 2 Arbeidersklasse       2 [Tend to agree]    2670.  53.6  0.315
 3 Arbeidersklasse       3 [Tend to disagree] 2108.  48.4  0.248
 4 Arbeidersklasse       4 [Totally disagree] 2012.  47.6  0.237
 5 Arbeidersklasse       5 [Don't know]        281.  18.7  0.0331
 6 Lagere middenklasse   1 [Totally agree]     896.  32.6  0.153
 7 Lagere middenklasse   2 [Tend to agree]    1954.  48.2  0.334
 8 Lagere middenklasse   3 [Tend to disagree] 1687.  44.3  0.288

## alstadsaeter_2018_offshore_eu_gdp_swiss.csv
country_name_en,country_name_nl,offshore_total_gpd_pct,offshore_swiss_gpd_pct,offshore_nonswiss_gpd_pct,offshore_nonswiss_caribbean_gpd_pct,offshore_nonswiss_asia_gpd_pct,offshore_nonswiss_eu_gpd_pct
Albania,Albanië,0.009099364830022943,0.003902763756464408,0.005196601073558535,0,0,0.005196601060415357
Austria,Oostenrijk,0.0788387199205287,0.053434090107880305,0.025404629812648388,5.020665119495822e-4,0.007873792222186092,0.017028771190398466
Belgium,België,0.1737783533244881,0.10349841462526806,0.07027993869922006,8.952427068932938e-4,0.002173648870789221,0.06721104507451295
Bosnia and Herzegovina,Bosnië en Herzegovina,0.050279356187570394,0.038434908810615606,0.011844447376954786,0,0,0.011844446974824816
Bulgaria,Bulgarije,0.041259899174114475,0.03265272313968249,0.008607176034431991,7.028093556917629e-5,6.035926334904682e-5,0.008476535463362765
Croatia,Kroatië,0.052318515832664274,0.03587663695040035,0.016441878882263925,0,3.112889888139514e-5,0.016410750703628525
Czech Republic,Tsjechië,0.0343543529592177

## 20220113_eurostat_hsw_pb5_subset.csv
diagnose,sex,age,unit,geo,time,values,iso3_code
Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of persons reporting a health problem,Slovakia,2020-01-01,73.2,SVK
Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of persons reporting a health problem,Czechia,2020-01-01,72.2,CZE
Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of persons reporting a health problem,Cyprus,2020-01-01,71.9,CYP
Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of persons reporting a health problem,Poland,2020-01-01,68.8,POL
Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of persons reporting a health problem,Croatia,2020-01-01,67.3,HRV
Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of persons reporting a health problem,Austria,2020-01-01,66.6,AUT
Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of persons reporting a health problem,Latvia,2020-01-01,66.4,LVA
Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of p

## d_ess_w1w9_gincdif_w_subset.csv

          
            essround
            essround_year
            country_iso2c
            country_name_en
            gincdif
            n
            n_se
            pct

            
              1
              2002
              BE
              Belgium
              Agree strongly
              455.8474083830247
              24.072560533532695
              0.2402389636447017

            
              1
              2002
              BE
              Belgium
              Agree
              874.3859045814513
              31.81838872669106
              0.4608155265976179

            
              1
              2002
              BE
              Belgium
              Neither agree nor disagree
              222.14182432630625
              15.803401128924667
              0.11707233753417241

            
              1
              2002
              BE
              Belgium
              Disagree
              230.61341530385303
              15.400839428531011
              0.12153700312059507

            
              1
              2002
              BE
              Belgium
              Disagree strongly
              62.615122103693565
              9.506878776946055
              0.032999182985457044

            
              1
              2002
              BE
              Belgium
              No answer
              51.87124555313497
              9.213506189195183
              0.02733698611745588

            
              1
              2002
              DE
              Germany
              Agree strongly
              377.1438310354219
              22.063114818446433
              0.1258549246801835

            
              1
              2002
              DE
              Germany
              Agree
              1219.241623744965
              41.250031564681194
              0.4068674868738743

            
              1
              2002
              DE
              Germany
              Neither agree nor disagree
              519.7322472538389
              26.613296784096732
              0.17343744600677538

## r_datavis_packages.md

      
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                mhermans
                / r_datavis_packages.md
            
            
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              March 23, 2021 08:34
            
              
                r visualisation packages
              
          
    From @CedScherer, https://twitter.com/CedScherer/status/1367097668569346050
[general]

https://ggplot2.tidyverse.org/
https://wilkelab.org/ggtext/
https://ragg.r-lib.org/
https://cran.r-project.org/web/packages/colorspace/vignettes/colorspace.html#Overview

[geo data]

  
## ghent_sheep_map.R
# API docs Real time locatie schapen Gent
# https://data.stad.gent/explore/dataset/sheep-tracking-gent/information/

library(httr)
library(leaflet)
library(lubridate)

sheep_data <- content(GET('https://data.stad.gent/api/records/1.0/search/?dataset=sheep-tracking-gent'))$records[[1]]
leaflet() %>% addTiles() %>% addMarkers(
  lng = sheep_data$geometry$coordinates[[1]],

## gist:bdb1b9f973e994048de3dbbe9fb2a66d
library(sf)
library(mapview)
library(tmap)
library(dplyr)
bodemkaart <- st_read('/home/rstudio/var/data/20170710_bodemkaart_2_0_download/shape/20170710_bodemkaart_2_0.shp')
#mapview(bodemkaart) => laat te traag
bebouwing <- bodemkaart %>%
  filter(Type == 'bebouwde zones')
mapview(bebouwing)

## upython_daan.md

      
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                mhermans
                / upython_daan.md
            
            
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              April 4, 2020 14:16
            
              
                Linkdump micropython / ciruitpython voor daan
              
          
    Pycom bordjes voor iot-toepassingen (micropython)

https://pycom.io/webshop/#dev
Niet aanbevolen om te starten, maar wel als je iot-toepassingen op het oog hebt. Ik heb WIPY2 en LOPY-bordjes tamelijk ongebruikt liggen, met programmer board, LoRA-antenne, etc. die je zeker eens kan gebruiken als je wil.
Voorbeeld-project dat ik gemaakt heb met Lora & micropython: https://github.com/mhermans/espwrangling/blob/master/lorasense/lorasense_notes.md
Adafruit cicuitpython bordjes


## ess_w9_wealth_inequality_fair.md

      
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                mhermans
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              November 3, 2019 14:14
            
              
                Rating of (un)fairness of level of wealth inequality (ESS W9)
              
          
    ESS W9 (2018): "In your opinion, are differences in wealth in [country] unfairly small, fair, or unfairly large?"
   cntry fair  unfairly_large unfairly_small
 1 SI    8%    81%            11%           
 2 AT    14%   75%            11%           
 3 HU    8%    75%            17%           
 4 IT    6%    75%            19%           
 5 CY    9%    75%            16%           
 6 RS    5%    74%            22%           

7 EE 12% 71% 17%

  
## zotero_debian_notes.md

      
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                mhermans
                / zotero_debian_notes.md
            
            
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              October 30, 2019 12:32
            
              
                zotero installation debian
              
          
    Cf. https://wiki.debian.org/Zotero
Cf. https://flathub.org/apps/details/org.zotero.Zotero
sudo apt install flatpak
flatpak remote-add --if-not-exists flathub https://flathub.org/repo/flathub.flatpakrepo
flatpak install flathub org.zotero.Zotero
flatpak run org.zotero.Zotero

add to bash_aliases
	class_c4_lbl_nl d72_2 n n_se pct
	<fct> <dbl+lbl> <dbl> <dbl> <dbl>
	1 Arbeidersklasse 1 [Totally agree] 1416. 40.1 0.167
	2 Arbeidersklasse 2 [Tend to agree] 2670. 53.6 0.315
	3 Arbeidersklasse 3 [Tend to disagree] 2108. 48.4 0.248
	4 Arbeidersklasse 4 [Totally disagree] 2012. 47.6 0.237
	5 Arbeidersklasse 5 [Don't know] 281. 18.7 0.0331
	6 Lagere middenklasse 1 [Totally agree] 896. 32.6 0.153
	7 Lagere middenklasse 2 [Tend to agree] 1954. 48.2 0.334
	8 Lagere middenklasse 3 [Tend to disagree] 1687. 44.3 0.288
	country_name_en,country_name_nl,offshore_total_gpd_pct,offshore_swiss_gpd_pct,offshore_nonswiss_gpd_pct,offshore_nonswiss_caribbean_gpd_pct,offshore_nonswiss_asia_gpd_pct,offshore_nonswiss_eu_gpd_pct
	Albania,Albanië,0.009099364830022943,0.003902763756464408,0.005196601073558535,0,0,0.005196601060415357
	Austria,Oostenrijk,0.0788387199205287,0.053434090107880305,0.025404629812648388,5.020665119495822e-4,0.007873792222186092,0.017028771190398466
	Belgium,België,0.1737783533244881,0.10349841462526806,0.07027993869922006,8.952427068932938e-4,0.002173648870789221,0.06721104507451295
	Bosnia and Herzegovina,Bosnië en Herzegovina,0.050279356187570394,0.038434908810615606,0.011844447376954786,0,0,0.011844446974824816
	Bulgaria,Bulgarije,0.041259899174114475,0.03265272313968249,0.008607176034431991,7.028093556917629e-5,6.035926334904682e-5,0.008476535463362765
	Croatia,Kroatië,0.052318515832664274,0.03587663695040035,0.016441878882263925,0,3.112889888139514e-5,0.016410750703628525
	Czech Republic,Tsjechië,0.0343543529592177
	diagnose,sex,age,unit,geo,time,values,iso3_code
	Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of persons reporting a health problem,Slovakia,2020-01-01,73.2,SVK
	Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of persons reporting a health problem,Czechia,2020-01-01,72.2,CZE
	Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of persons reporting a health problem,Cyprus,2020-01-01,71.9,CYP
	Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of persons reporting a health problem,Poland,2020-01-01,68.8,POL
	Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of persons reporting a health problem,Croatia,2020-01-01,67.3,HRV
	Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of persons reporting a health problem,Austria,2020-01-01,66.6,AUT
	Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of persons reporting a health problem,Latvia,2020-01-01,66.4,LVA
	Musculo-skeletal disorders,Total,From 15 to 64 years,Percentage of p
essround	essround_year	country_iso2c	country_name_en	gincdif	n	n_se	pct
1	2002	BE	Belgium	Agree strongly	455.8474083830247	24.072560533532695	0.2402389636447017
1	2002	BE	Belgium	Agree	874.3859045814513	31.81838872669106	0.4608155265976179
1	2002	BE	Belgium	Neither agree nor disagree	222.14182432630625	15.803401128924667	0.11707233753417241
1	2002	BE	Belgium	Disagree	230.61341530385303	15.400839428531011	0.12153700312059507
1	2002	BE	Belgium	Disagree strongly	62.615122103693565	9.506878776946055	0.032999182985457044
1	2002	BE	Belgium	No answer	51.87124555313497	9.213506189195183	0.02733698611745588
1	2002	DE	Germany	Agree strongly	377.1438310354219	22.063114818446433	0.1258549246801835
1	2002	DE	Germany	Agree	1219.241623744965	41.250031564681194	0.4068674868738743
1	2002	DE	Germany	Neither agree nor disagree	519.7322472538389	26.613296784096732	0.17343744600677538
	# API docs Real time locatie schapen Gent
	# https://data.stad.gent/explore/dataset/sheep-tracking-gent/information/

	library(httr)
	library(leaflet)
	library(lubridate)

	sheep_data <- content(GET('https://data.stad.gent/api/records/1.0/search/?dataset=sheep-tracking-gent'))$records[[1]]
	leaflet() %>% addTiles() %>% addMarkers(
	lng = sheep_data$geometry$coordinates[[1]],
	library(sf)
	library(mapview)
	library(tmap)
	library(dplyr)
	bodemkaart <- st_read('/home/rstudio/var/data/20170710_bodemkaart_2_0_download/shape/20170710_bodemkaart_2_0.shp')
	#mapview(bodemkaart) => laat te traag
	bebouwing <- bodemkaart %>%
	filter(Type == 'bebouwde zones')
	mapview(bebouwing)