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sandravizz / iris
Created July 20, 2018 15:50
sepal_length,sepal_width,petal_length,petal_width,species
5.1,3.5,1.4,0.2,setosa
4.9,3.0,1.4,0.2,setosa
4.7,3.2,1.3,0.2,setosa
4.6,3.1,1.5,0.2,setosa
5.0,3.6,1.4,0.2,setosa
5.4,3.9,1.7,0.4,setosa
4.6,3.4,1.4,0.3,setosa
5.0,3.4,1.5,0.2,setosa
4.4,2.9,1.4,0.2,setosa
@sandravizz
sandravizz / Curso: Visualización de datos
Created January 29, 2019 11:46
Curso: Visualización de datos (España)
1. En general: Cuenta en github https://github.com/ de estudiantes (pedir certificado de la universidad/escuela).
2. Ggplot2: Intall la ultima version de R studio, install todo estos paketes:
install.packages("ggplot2")
install.packages("ggthemes")
install.packages("ggExtra")
install.packages("psych")
install.packages("reshape2")
install.packages("waffle")
@sandravizz
sandravizz / happycow_restuarants
Last active March 6, 2019 16:41
year,restaurants
2008,134
2009,299
2010,454
2011,377
2012,485
2013,611
2014,829
2015,1157
2016,1356
@sandravizz
sandravizz / Meat consumption over time by type and country
Last active November 24, 2019 16:10
LOCATION,SUBJECT,TIME,Value
AUS,BEEF,1990,0.000004107636265992
AUS,BEEF,1991,27.8084010802765
AUS,BEEF,1992,26.2781655161047
AUS,BEEF,1993,26.2444784528083
AUS,BEEF,1994,25.5412444303129
AUS,BEEF,1995,25.4075550612187
AUS,BEEF,1996,27.3287113750045
AUS,BEEF,1997,28.8736984174652
AUS,BEEF,1998,26.6533485571559
@sandravizz
sandravizz / Beef consumption over time by country
Last active November 24, 2019 20:26
LOCATION,SUBJECT,TIME,Value
AUS,BEEF,1991,27.8084010802765
AUS,BEEF,1992,26.2781655161047
AUS,BEEF,1993,26.2444784528083
AUS,BEEF,1994,25.5412444303129
AUS,BEEF,1995,25.4075550612187
AUS,BEEF,1996,27.3287113750045
AUS,BEEF,1997,28.8736984174652
AUS,BEEF,1998,26.6533485571559
AUS,BEEF,1999,27.9816648400942
@sandravizz
sandravizz / OECD: Beef consumption over time by country
Last active November 25, 2019 08:53
LOCATION,SUBJECT,MEASURE,TIME,Value
UKR,BEEF,THND_TONNE,1997,782.870095117188,
UKR,BEEF,THND_TONNE,1998,681.260048730469,
UKR,BEEF,THND_TONNE,1999,648.5420921875,
UKR,BEEF,THND_TONNE,2000,629.450112207031,
UKR,BEEF,THND_TONNE,2001,531.558083398438,
UKR,BEEF,THND_TONNE,2002,583.467079980469,
UKR,BEEF,THND_TONNE,2003,577.396157128906,
UKR,BEEF,THND_TONNE,2004,539.89609609375,
UKR,BEEF,THND_TONNE,2005,552.603066308594,
@sandravizz
sandravizz / OECD: Tree felling over time by country
Created November 28, 2019 16:05
LOCATION,INDICATOR,SUBJECT,MEASURE,FREQUENCY,TIME,Value,Flag Codes
AUS,FORESTRESOURCE,TREEFELLING,THND_M3,A,1970,11521,
AUS,FORESTRESOURCE,TREEFELLING,THND_M3,A,1980,15586,
AUS,FORESTRESOURCE,TREEFELLING,THND_M3,A,1985,16687,
AUS,FORESTRESOURCE,TREEFELLING,THND_M3,A,1990,17564,
AUS,FORESTRESOURCE,TREEFELLING,THND_M3,A,1995,19560,
AUS,FORESTRESOURCE,TREEFELLING,THND_M3,A,2000,24407.727,
AUS,FORESTRESOURCE,TREEFELLING,THND_M3,A,2001,24474,
AUS,FORESTRESOURCE,TREEFELLING,THND_M3,A,2002,24296,
AUS,FORESTRESOURCE,TREEFELLING,THND_M3,A,2003,25819,
@sandravizz
sandravizz / OECD Threatened species by country 2015
Created November 28, 2019 16:37
LOCATION,INDICATOR,SUBJECT,MEASURE,FREQUENCY,TIME,Value,Flag Codes
AUS,THREATENED,BIRD,PC_SPECIES,A,2015,16.835,
AUT,THREATENED,BIRD,PC_SPECIES,A,2015,27.273,
BEL,THREATENED,BIRD,PC_SPECIES,A,2015,27.778,
CAN,THREATENED,BIRD,PC_SPECIES,A,2015,13.056,
CZE,THREATENED,BIRD,PC_SPECIES,A,2015,47.143,
DNK,THREATENED,BIRD,PC_SPECIES,A,2015,16.268,
FIN,THREATENED,BIRD,PC_SPECIES,A,2015,35.081,
FRA,THREATENED,BIRD,PC_SPECIES,A,2015,27.366,
DEU,THREATENED,BIRD,PC_SPECIES,A,2015,35.606,
@sandravizz
sandravizz / OECD Threatened species: plants by country 2015
Created November 29, 2019 10:54
LOCATION,INDICATOR,SUBJECT,MEASURE,FREQUENCY,TIME,Value,Flag Codes
AUS,THREATENED,PLANT,PC_SPECIES,A,2015,6.58,
AUT,THREATENED,PLANT,PC_SPECIES,A,2015,33.39,
BEL,THREATENED,PLANT,PC_SPECIES,A,2015,23.267,
CAN,THREATENED,PLANT,PC_SPECIES,A,2015,21.35,
CZE,THREATENED,PLANT,PC_SPECIES,A,2015,25.527,
DNK,THREATENED,PLANT,PC_SPECIES,A,2015,4.022,
FIN,THREATENED,PLANT,PC_SPECIES,A,2015,15.887,
FRA,THREATENED,PLANT,PC_SPECIES,A,2015,51.866,
DEU,THREATENED,PLANT,PC_SPECIES,A,2015,27.384,
@sandravizz
sandravizz / OECD Air pollution by country
Created November 30, 2019 08:22
LOCATION,INDICATOR,SUBJECT,MEASURE,FREQUENCY,TIME,Value,Flag Codes
AUS,POLLUTIONEXP,EXPOS2PM25,PC_POP,A,1990,32.18407,
AUS,POLLUTIONEXP,EXPOS2PM25,PC_POP,A,1995,32.2118,
AUS,POLLUTIONEXP,EXPOS2PM25,PC_POP,A,2000,34.95765,
AUS,POLLUTIONEXP,EXPOS2PM25,PC_POP,A,2005,34.62646,
AUS,POLLUTIONEXP,EXPOS2PM25,PC_POP,A,2010,34.0828,
AUS,POLLUTIONEXP,EXPOS2PM25,PC_POP,A,2011,37.59326,
AUS,POLLUTIONEXP,EXPOS2PM25,PC_POP,A,2012,31.73881,
AUS,POLLUTIONEXP,EXPOS2PM25,PC_POP,A,2013,29.71952,
AUS,POLLUTIONEXP,EXPOS2PM25,PC_POP,A,2014,28.34712,