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Aprendizado de máquina e emissão de CO2, solo-planta-atmosfera

This webpage is dedicated to providing data from 20 years of soil CO2 emission in agricultural areas in Brazil

http://arpanosso.github.io/FCO2_machinelearning/index.html

dados <- readr::read_rds("data/dados_todos.rds")
skimr::skim(dados)
Name dados
Number of rows 6744
Number of columns 52
_______________________
Column type frequency:
character 9
factor 1
numeric 39
POSIXct 3
________________________
Group variables None

Data summary

Variable type: character

skim_variable n_missing complete_rate min max empty n_unique whitespace
experimento 0 1 8 8 0 2 0
preparo_solo 0 1 5 15 0 4 0
tratamento 0 1 2 3 0 7 0
revolvimernto_solo 0 1 3 3 0 2 0
cobertura 0 1 5 10 0 3 0
cultura 0 1 5 14 0 6 0
estado 0 1 2 2 0 2 0
municipio 0 1 7 10 0 3 0
profundidade 0 1 5 5 0 1 0

Variable type: factor

skim_variable n_missing complete_rate ordered n_unique top_counts
trat_cult 0 1 FALSE 7 CC-: 2749, EU-: 990, PDr: 807, SI-: 688

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
x 0 1.00 2234706.53 3510470.32 0.00 0.00 25.00 7747951.66 7749472.16 ▇▁▁▁▃
y 0 1.00 131810.08 207036.11 0.00 0.00 25.00 456862.81 457280.30 ▇▁▁▁▃
longitude_muni 0 1.00 1674327.76 2585219.27 456798.63 457232.64 458447.46 794031.99 7638196.06 ▇▁▁▁▂
latitude_muni 0 1.00 6623205.27 2522753.56 795907.06 7630380.07 7747951.66 7749821.85 7749821.85 ▂▁▁▁▇
id 0 1.00 46.74 33.06 1.00 17.00 45.00 66.00 141.00 ▇▆▅▂▁
fco2 0 1.00 2.59 1.99 0.02 1.18 1.84 3.48 15.86 ▇▂▁▁▁
ts 0 1.00 21.23 6.12 1.00 19.29 21.90 25.90 43.00 ▁▁▇▂▁
us 0 1.00 15.17 7.72 0.10 9.00 13.89 21.00 44.00 ▃▇▆▁▁
p_h 0 1.00 4.74 0.61 3.80 4.10 4.70 5.20 6.50 ▇▆▇▂▁
som 0 1.00 26.17 12.01 2.00 19.00 25.91 31.00 61.26 ▃▇▇▂▁
p 0 1.00 14.74 11.18 1.00 5.00 14.00 21.49 83.26 ▇▅▁▁▁
k 0 1.00 2.69 2.39 0.20 0.80 1.70 4.08 12.50 ▇▂▂▁▁
ca 0 1.00 21.67 16.06 3.00 7.00 18.00 33.00 75.00 ▇▃▃▁▁
mg 0 1.00 11.56 4.99 1.00 8.00 12.00 15.00 34.00 ▃▇▅▁▁
h_al 0 1.00 46.88 25.21 0.00 30.19 44.11 64.00 109.00 ▃▇▇▂▃
sb 0 1.00 36.02 21.29 4.70 17.20 34.38 52.05 100.68 ▇▅▅▃▁
cec 0 1.00 83.89 25.49 13.60 70.20 89.40 104.10 133.10 ▂▂▅▇▂
v 0 1.00 43.67 20.39 4.96 26.00 46.00 60.00 100.00 ▅▅▇▅▁
ds 0 1.00 1.44 0.17 1.00 1.30 1.48 1.57 1.86 ▂▅▇▇▁
macro 0 1.00 11.42 6.96 0.00 5.84 10.08 16.05 37.06 ▇▇▅▂▁
micro 0 1.00 33.20 7.68 6.68 29.95 34.38 38.45 52.42 ▁▂▆▇▁
tpv 0 1.00 44.61 7.78 14.73 38.99 43.48 50.90 67.04 ▁▂▇▅▁
afps 0 1.00 29.51 9.67 0.01 22.92 30.79 36.74 56.34 ▁▅▇▇▁
sand 0 1.00 49.62 22.21 13.25 35.59 44.61 64.96 87.27 ▆▇▅▇▆
silt 0 1.00 10.09 6.88 0.13 5.09 7.76 13.76 30.50 ▇▆▅▁▂
clay 0 1.00 40.32 16.57 6.92 30.28 44.93 51.58 68.90 ▅▃▅▇▅
tatm 0 1.00 24.08 3.46 12.37 21.48 24.48 26.52 32.63 ▁▃▇▇▂
prec 0 1.00 1.02 2.37 0.00 0.00 0.00 0.45 13.01 ▇▁▁▁▁
u_air 0 1.00 63.10 13.49 29.06 51.94 63.44 74.38 89.19 ▂▆▇▇▅
patm 0 1.00 96.30 1.40 94.06 94.87 97.06 97.46 98.20 ▇▃▁▇▇
uva 0 1.00 12.55 3.25 4.80 10.56 12.11 14.70 20.63 ▂▇▆▆▂
uvb 0 1.00 0.34 0.12 0.12 0.24 0.33 0.45 0.59 ▃▇▆▅▃
w 0 1.00 2.39 0.70 0.86 1.87 2.25 2.81 4.00 ▁▇▇▅▃
oco2 2749 0.59 401.27 4.92 392.59 396.90 401.50 405.72 412.46 ▅▆▅▇▁
sif 2749 0.59 0.00 0.00 0.00 0.00 0.00 0.00 0.00 ▇▅▁▁▂
fco2_exp 0 1.00 2.59 1.91 0.19 1.35 1.77 3.22 15.86 ▇▂▁▁▁
us_exp 0 1.00 15.17 7.29 0.10 9.47 13.98 20.70 32.53 ▂▇▃▅▁
ts_exp 0 1.00 21.23 6.05 1.00 19.32 21.97 25.89 41.60 ▁▁▇▅▁
clay_exp 0 1.00 40.32 16.47 6.92 30.28 47.55 50.61 62.27 ▅▁▆▇▅

Variable type: POSIXct

skim_variable n_missing complete_rate min max median n_unique
data 0 1 2008-10-25 2019-12-01 2016-02-16 117
data_preparo 0 1 1986-03-01 2019-04-01 2002-01-01 6
conversao 0 1 1986-03-01 2004-01-01 1990-03-01 5

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