Overview

Dataset statistics

Number of variables27
Number of observations136916
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.2 MiB
Average record size in memory216.0 B

Variable types

NUM25
CAT2

Warnings

LEEFTIJDSKLASSE has a high cardinality: 91 distinct values High cardinality
AANTAL_VERZEKERDEJAREN is highly correlated with AANTAL_BSN and 3 other fieldsHigh correlation
AANTAL_BSN is highly correlated with AANTAL_VERZEKERDEJAREN and 1 other fieldsHigh correlation
KOSTEN_HUISARTS_INSCHRIJFTARIEF is highly correlated with AANTAL_VERZEKERDEJAREN and 1 other fieldsHigh correlation
KOSTEN_HUISARTS_OVERIG is highly correlated with AANTAL_VERZEKERDEJAREN and 1 other fieldsHigh correlation
KOSTEN_VERLOSKUNDIGE_ZORG is highly correlated with KOSTEN_KRAAMZORGHigh correlation
KOSTEN_KRAAMZORG is highly correlated with KOSTEN_VERLOSKUNDIGE_ZORGHigh correlation
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG is highly correlated with AANTAL_BSN and 1 other fieldsHigh correlation
AANTAL_BSN is highly skewed (γ1 = 359.9627084) Skewed
AANTAL_VERZEKERDEJAREN is highly skewed (γ1 = 339.5691361) Skewed
KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG is highly skewed (γ1 = 52.17140102) Skewed
KOSTEN_FARMACIE is highly skewed (γ1 = 29.41423327) Skewed
KOSTEN_SPECIALISTISCHE_GGZ is highly skewed (γ1 = 27.03511978) Skewed
KOSTEN_HUISARTS_INSCHRIJFTARIEF is highly skewed (γ1 = 190.2163179) Skewed
KOSTEN_HUISARTS_CONSULT is highly skewed (γ1 = 44.70295717) Skewed
KOSTEN_HUISARTS_OVERIG is highly skewed (γ1 = 195.4210711) Skewed
KOSTEN_ZIEKENVERVOER_LIGGEND is highly skewed (γ1 = 80.99502686) Skewed
KOSTEN_GENERALISTISCHE_BASIS_GGZ is highly skewed (γ1 = 26.69994527) Skewed
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG is highly skewed (γ1 = 366.9142618) Skewed
KOSTEN_SPECIALISTISCHE_GGZ has 52814 (38.6%) zeros Zeros
KOSTEN_HUISARTS_MDZ has 11082 (8.1%) zeros Zeros
KOSTEN_HULPMIDDELEN has 6525 (4.8%) zeros Zeros
KOSTEN_MONDZORG has 27688 (20.2%) zeros Zeros
KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE has 29337 (21.4%) zeros Zeros
KOSTEN_PARAMEDISCHE_ZORG_OVERIG has 22856 (16.7%) zeros Zeros
KOSTEN_ZIEKENVERVOER_ZITTEND has 88328 (64.5%) zeros Zeros
KOSTEN_ZIEKENVERVOER_LIGGEND has 32887 (24.0%) zeros Zeros
KOSTEN_KRAAMZORG has 119707 (87.4%) zeros Zeros
KOSTEN_VERLOSKUNDIGE_ZORG has 118983 (86.9%) zeros Zeros
KOSTEN_GENERALISTISCHE_BASIS_GGZ has 75148 (54.9%) zeros Zeros
KOSTEN_LANGDURIGE_GGZ has 134601 (98.3%) zeros Zeros
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG has 53547 (39.1%) zeros Zeros
KOSTEN_EERSTELIJNS_ONDERSTEUNING has 58122 (42.5%) zeros Zeros
KOSTEN_GERIATRISCHE_REVALIDATIEZORG has 113073 (82.6%) zeros Zeros
KOSTEN_VERPLEGING_EN_VERZORGING has 63022 (46.0%) zeros Zeros
KOSTEN_OVERIG has 48825 (35.7%) zeros Zeros

Reproduction

Analysis started2020-10-25 20:14:23.225858
Analysis finished2020-10-25 20:16:44.331148
Duration2 minutes and 21.11 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

GESLACHT
Categorical

Distinct2
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size1.0 MiB
V
68671 
M
68244 
ValueCountFrequency (%) 
V6867150.2%
 
M6824449.8%
 
(Missing)1< 0.1%
 
2020-10-25T20:16:44.399716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-25T20:16:44.627019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-25T20:16:44.756974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.000014607
Min length1

LEEFTIJDSKLASSE
Categorical

HIGH CARDINALITY

Distinct91
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size1.0 MiB
54
 
1562
57
 
1559
48
 
1559
50
 
1558
55
 
1558
Other values (86)
129119 
ValueCountFrequency (%) 
5415621.1%
 
5715591.1%
 
4815591.1%
 
5015581.1%
 
5515581.1%
 
5215581.1%
 
4715571.1%
 
6015561.1%
 
5115561.1%
 
4915561.1%
 
Other values (81)12133688.6%
 
2020-10-25T20:16:44.996029image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-25T20:16:45.214255image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length2
Mean length1.899741447
Min length1

POSTCODE_3
Real number (ℝ≥0)

Distinct794
Distinct (%)0.6%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean541.178556
Minimum0
Maximum999
Zeros182
Zeros (%)0.1%
Memory size1.0 MiB
2020-10-25T20:16:45.413894image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile144
Q1318
median539
Q3763
95-th percentile955
Maximum999
Range999
Interquartile range (IQR)445

Descriptive statistics

Standard deviation258.2297375
Coefficient of variation (CV)0.4771618065
Kurtosis-1.167168121
Mean541.178556
Median Absolute Deviation (MAD)223
Skewness0.03576618106
Sum74095462
Variance66682.59731
MonotocityNot monotonic
2020-10-25T20:16:45.642494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5401820.1%
 
1101820.1%
 
8911820.1%
 
7771820.1%
 
3921820.1%
 
3131820.1%
 
4131820.1%
 
1601820.1%
 
9241820.1%
 
6081820.1%
 
Other values (784)13509598.7%
 
ValueCountFrequency (%) 
01820.1%
 
1011820.1%
 
1021820.1%
 
1031820.1%
 
10416< 0.1%
 
ValueCountFrequency (%) 
9991660.1%
 
9981820.1%
 
9971720.1%
 
9961760.1%
 
9951800.1%
 

AANTAL_BSN
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED

Distinct1126
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.8387478
Minimum10
Maximum356551
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-10-25T20:16:45.871612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile16
Q141
median82
Q3163
95-th percentile381
Maximum356551
Range356541
Interquartile range (IQR)122

Descriptive statistics

Standard deviation972.1535101
Coefficient of variation (CV)7.60452935
Kurtosis131972.1916
Mean127.8387478
Median Absolute Deviation (MAD)50
Skewness359.9627084
Sum17503170
Variance945082.4472
MonotocityNot monotonic
2020-10-25T20:16:46.091104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1911610.8%
 
2111480.8%
 
2911470.8%
 
2211400.8%
 
2811400.8%
 
2011370.8%
 
1811330.8%
 
3311280.8%
 
3511270.8%
 
3011230.8%
 
Other values (1116)12553291.7%
 
ValueCountFrequency (%) 
1010220.7%
 
1110340.8%
 
1210780.8%
 
1310660.8%
 
1410660.8%
 
ValueCountFrequency (%) 
3565511< 0.1%
 
23111< 0.1%
 
22921< 0.1%
 
22321< 0.1%
 
21301< 0.1%
 

AANTAL_VERZEKERDEJAREN
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED

Distinct34846
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.5254763
Minimum3.09
Maximum196219.74
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-10-25T20:16:46.339454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.09
5-th percentile15.27
Q140
median81
Q3160.34
95-th percentile376.0325
Maximum196219.74
Range196216.65
Interquartile range (IQR)120.34

Descriptive statistics

Standard deviation545.3718356
Coefficient of variation (CV)4.37960048
Kurtosis122082.8639
Mean124.5254763
Median Absolute Deviation (MAD)50
Skewness339.5691361
Sum17049530.11
Variance297430.4391
MonotocityNot monotonic
2020-10-25T20:16:46.563753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
127490.5%
 
117380.5%
 
197180.5%
 
217100.5%
 
157070.5%
 
107040.5%
 
167030.5%
 
147010.5%
 
136890.5%
 
186820.5%
 
Other values (34836)12981594.8%
 
ValueCountFrequency (%) 
3.091< 0.1%
 
3.951< 0.1%
 
4.11< 0.1%
 
4.331< 0.1%
 
4.471< 0.1%
 
ValueCountFrequency (%) 
196219.741< 0.1%
 
2220.621< 0.1%
 
2191.361< 0.1%
 
2130.011< 0.1%
 
2047.131< 0.1%
 
Distinct136549
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165218.8045
Minimum-7777
Maximum46978766.76
Zeros19
Zeros (%)< 0.1%
Memory size1.0 MiB
2020-10-25T20:16:46.861792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-7777
5-th percentile6303.62
Q132441.9675
median88496.32
Q3215527.94
95-th percentile576265.5525
Maximum46978766.76
Range46986543.76
Interquartile range (IQR)183085.9725

Descriptive statistics

Standard deviation246118.0601
Coefficient of variation (CV)1.4896492
Kurtosis9567.953488
Mean165218.8045
Median Absolute Deviation (MAD)68699.18
Skewness52.17140102
Sum2.262109784e+10
Variance6.057409949e+10
MonotocityNot monotonic
2020-10-25T20:16:47.090610image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
019< 0.1%
 
15786.082< 0.1%
 
7924.322< 0.1%
 
98888.892< 0.1%
 
61873.072< 0.1%
 
23836.252< 0.1%
 
35359.692< 0.1%
 
51836.982< 0.1%
 
201550.682< 0.1%
 
27312.562< 0.1%
 
Other values (136539)136879> 99.9%
 
ValueCountFrequency (%) 
-77771< 0.1%
 
019< 0.1%
 
12.521< 0.1%
 
231< 0.1%
 
25.711< 0.1%
 
ValueCountFrequency (%) 
46978766.761< 0.1%
 
4462180.081< 0.1%
 
4142347.51< 0.1%
 
3839430.51< 0.1%
 
3616606.711< 0.1%
 

KOSTEN_FARMACIE
Real number (ℝ≥0)

SKEWED

Distinct134842
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33974.63187
Minimum14.11
Maximum8368957.11
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-10-25T20:16:47.385733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14.11
5-th percentile906.0675
Q14957.82
median15929.88
Q343154.03
95-th percentile125922.9925
Maximum8368957.11
Range8368943
Interquartile range (IQR)38196.21

Descriptive statistics

Standard deviation54331.59987
Coefficient of variation (CV)1.599181415
Kurtosis4067.416092
Mean33974.63187
Median Absolute Deviation (MAD)13287.735
Skewness29.41423327
Sum4651670697
Variance2951922745
MonotocityNot monotonic
2020-10-25T20:16:47.725742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4341.593< 0.1%
 
194.13< 0.1%
 
2217.623< 0.1%
 
748.933< 0.1%
 
767.123< 0.1%
 
15623.323< 0.1%
 
1632.163< 0.1%
 
28952.863< 0.1%
 
263.263< 0.1%
 
2447.933< 0.1%
 
Other values (134832)136886> 99.9%
 
ValueCountFrequency (%) 
14.111< 0.1%
 
14.141< 0.1%
 
14.161< 0.1%
 
14.321< 0.1%
 
14.981< 0.1%
 
ValueCountFrequency (%) 
8368957.111< 0.1%
 
1231629.741< 0.1%
 
1166271.421< 0.1%
 
1147381.841< 0.1%
 
1015539.561< 0.1%
 

KOSTEN_SPECIALISTISCHE_GGZ
Real number (ℝ)

SKEWED
ZEROS

Distinct69094
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21524.51238
Minimum-66348.6
Maximum7669881.83
Zeros52814
Zeros (%)38.6%
Memory size1.0 MiB
2020-10-25T20:16:47.976113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-66348.6
5-th percentile0
Q10
median2561.32
Q319746.3775
95-th percentile108695.9
Maximum7669881.83
Range7736230.43
Interquartile range (IQR)19746.3775

Descriptive statistics

Standard deviation51905.61999
Coefficient of variation (CV)2.411465545
Kurtosis3468.236635
Mean21524.51238
Median Absolute Deviation (MAD)2561.32
Skewness27.03511978
Sum2947050137
Variance2694193386
MonotocityNot monotonic
2020-10-25T20:16:48.209483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05281438.6%
 
616.731810.1%
 
1109.941630.1%
 
2502.321450.1%
 
1028.981250.1%
 
2500.541060.1%
 
2450.72980.1%
 
585.66930.1%
 
635.02880.1%
 
320.74870.1%
 
Other values (69084)8301660.6%
 
ValueCountFrequency (%) 
-66348.61< 0.1%
 
-56879.221< 0.1%
 
-28221.911< 0.1%
 
-17118.931< 0.1%
 
-15556.561< 0.1%
 
ValueCountFrequency (%) 
7669881.831< 0.1%
 
1160281.641< 0.1%
 
910582.081< 0.1%
 
890716.441< 0.1%
 
857109.741< 0.1%
 

KOSTEN_HUISARTS_INSCHRIJFTARIEF
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED

Distinct35375
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8055.889751
Minimum59.96
Maximum3973069.45
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-10-25T20:16:48.463195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum59.96
5-th percentile1074
Q12698.2
median5456.36
Q310611.45
95-th percentile23699.9925
Maximum3973069.45
Range3973009.49
Interquartile range (IQR)7913.25

Descriptive statistics

Standard deviation13390.55662
Coefficient of variation (CV)1.662207035
Kurtosis56149.53843
Mean8055.889751
Median Absolute Deviation (MAD)3327.78
Skewness190.2163179
Sum1102980201
Variance179307006.5
MonotocityNot monotonic
2020-10-25T20:16:48.695355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
719.525290.4%
 
659.564880.4%
 
1259.164830.4%
 
1019.324770.3%
 
1139.244740.3%
 
1199.24690.3%
 
959.364650.3%
 
899.44530.3%
 
1319.124520.3%
 
599.64460.3%
 
Other values (35365)13218096.5%
 
ValueCountFrequency (%) 
59.961< 0.1%
 
104.931< 0.1%
 
149.92< 0.1%
 
164.898< 0.1%
 
179.886< 0.1%
 
ValueCountFrequency (%) 
3973069.451< 0.1%
 
133923.661< 0.1%
 
130108.51< 0.1%
 
127593.251< 0.1%
 
121932.841< 0.1%
 

KOSTEN_HUISARTS_CONSULT
Real number (ℝ≥0)

SKEWED

Distinct95969
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5202.935385
Minimum0
Maximum1261062.66
Zeros38
Zeros (%)< 0.1%
Memory size1.0 MiB
2020-10-25T20:16:48.984679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile429.185
Q11440.44
median3217.68
Q36764.4125
95-th percentile16346.91
Maximum1261062.66
Range1261062.66
Interquartile range (IQR)5323.9725

Descriptive statistics

Standard deviation7016.106244
Coefficient of variation (CV)1.348489982
Kurtosis7525.288994
Mean5202.935385
Median Absolute Deviation (MAD)2165.86
Skewness44.70295717
Sum712365101.2
Variance49225746.83
MonotocityNot monotonic
2020-10-25T20:16:49.223983image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
038< 0.1%
 
198.4922< 0.1%
 
249.2720< 0.1%
 
272.3620< 0.1%
 
332.3719< 0.1%
 
226.219< 0.1%
 
33719< 0.1%
 
355.4519< 0.1%
 
272.3718< 0.1%
 
457.0218< 0.1%
 
Other values (95959)13670499.8%
 
ValueCountFrequency (%) 
038< 0.1%
 
1.751< 0.1%
 
21< 0.1%
 
2.483< 0.1%
 
2.921< 0.1%
 
ValueCountFrequency (%) 
1261062.661< 0.1%
 
236449.851< 0.1%
 
166311.621< 0.1%
 
150052.211< 0.1%
 
144627.11< 0.1%
 

KOSTEN_HUISARTS_MDZ
Real number (ℝ≥0)

ZEROS

Distinct102579
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4141.753646
Minimum0
Maximum793129.65
Zeros11082
Zeros (%)8.1%
Memory size1.0 MiB
2020-10-25T20:16:49.504481image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1168.6
median1474.31
Q35177.05
95-th percentile17146.29
Maximum793129.65
Range793129.65
Interquartile range (IQR)5008.45

Descriptive statistics

Standard deviation7124.624366
Coefficient of variation (CV)1.720195109
Kurtosis1113.478075
Mean4141.753646
Median Absolute Deviation (MAD)1453.43
Skewness12.89649631
Sum567072342.2
Variance50760272.35
MonotocityNot monotonic
2020-10-25T20:16:49.724440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0110828.1%
 
0.221770.1%
 
22.821600.1%
 
0.331570.1%
 
41.821370.1%
 
414.481240.1%
 
2351220.1%
 
0.261210.1%
 
3.21210.1%
 
0.551120.1%
 
Other values (102569)12460391.0%
 
ValueCountFrequency (%) 
0110828.1%
 
0.1168< 0.1%
 
0.122< 0.1%
 
0.1326< 0.1%
 
0.166< 0.1%
 
ValueCountFrequency (%) 
793129.651< 0.1%
 
148980.281< 0.1%
 
134874.461< 0.1%
 
116405.581< 0.1%
 
107586.711< 0.1%
 

KOSTEN_HUISARTS_OVERIG
Real number (ℝ)

HIGH CORRELATION
SKEWED

Distinct128820
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6182.330392
Minimum-236.47
Maximum3402557.07
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-10-25T20:16:50.025470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-236.47
5-th percentile725.16
Q11980.7975
median3995.355
Q37954.2975
95-th percentile18781
Maximum3402557.07
Range3402793.54
Interquartile range (IQR)5973.5

Descriptive statistics

Standard deviation11369.87941
Coefficient of variation (CV)1.839092816
Kurtosis58158.58309
Mean6182.330392
Median Absolute Deviation (MAD)2480.33
Skewness195.4210711
Sum846459948
Variance129274157.8
MonotocityNot monotonic
2020-10-25T20:16:50.247064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3563.214< 0.1%
 
2022.214< 0.1%
 
1884.754< 0.1%
 
2232.354< 0.1%
 
3218.054< 0.1%
 
1038.094< 0.1%
 
1651.74< 0.1%
 
2679.174< 0.1%
 
4802.84< 0.1%
 
2671.144< 0.1%
 
Other values (128810)136876> 99.9%
 
ValueCountFrequency (%) 
-236.471< 0.1%
 
31.381< 0.1%
 
70.321< 0.1%
 
72.261< 0.1%
 
82.151< 0.1%
 
ValueCountFrequency (%) 
3402557.071< 0.1%
 
192792.031< 0.1%
 
161228.241< 0.1%
 
143081.981< 0.1%
 
137433.241< 0.1%
 

KOSTEN_HULPMIDDELEN
Real number (ℝ≥0)

ZEROS

Distinct119605
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10638.33065
Minimum0
Maximum1675945.12
Zeros6525
Zeros (%)4.8%
Memory size1.0 MiB
2020-10-25T20:16:50.659230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.4075
Q11028.1325
median5060.01
Q313791.9725
95-th percentile39410.215
Maximum1675945.12
Range1675945.12
Interquartile range (IQR)12763.84

Descriptive statistics

Standard deviation16990.32385
Coefficient of variation (CV)1.597085521
Kurtosis755.641834
Mean10638.33065
Median Absolute Deviation (MAD)4713.01
Skewness12.12283136
Sum1456557680
Variance288671104.6
MonotocityNot monotonic
2020-10-25T20:16:50.873185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
065254.8%
 
29.18380.6%
 
30.552850.2%
 
23.52730.2%
 
58.21730.1%
 
30.711410.1%
 
29.421310.1%
 
461260.1%
 
32.331180.1%
 
59.65860.1%
 
Other values (119595)12822093.6%
 
ValueCountFrequency (%) 
065254.8%
 
0.181< 0.1%
 
0.191< 0.1%
 
0.23< 0.1%
 
0.212< 0.1%
 
ValueCountFrequency (%) 
1675945.121< 0.1%
 
706827.191< 0.1%
 
543395.351< 0.1%
 
461447.341< 0.1%
 
454747.291< 0.1%
 

KOSTEN_MONDZORG
Real number (ℝ)

ZEROS

Distinct95906
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5379.195574
Minimum-444.08
Maximum938749.29
Zeros27688
Zeros (%)20.2%
Memory size1.0 MiB
2020-10-25T20:16:51.154966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-444.08
5-th percentile0
Q1144.4775
median1653.65
Q35704.5075
95-th percentile22786.1675
Maximum938749.29
Range939193.37
Interquartile range (IQR)5560.03

Descriptive statistics

Standard deviation11338.41865
Coefficient of variation (CV)2.107827925
Kurtosis395.0284354
Mean5379.195574
Median Absolute Deviation (MAD)1653.65
Skewness9.661026124
Sum736497941.2
Variance128559737.4
MonotocityNot monotonic
2020-10-25T20:16:51.371964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02768820.2%
 
84.982670.2%
 
20.442220.2%
 
74.191980.1%
 
40.881280.1%
 
61.32900.1%
 
59.53790.1%
 
162.55750.1%
 
120.3750.1%
 
156.31700.1%
 
Other values (95896)10802478.9%
 
ValueCountFrequency (%) 
-444.081< 0.1%
 
-441.91< 0.1%
 
-83.513< 0.1%
 
-82.881< 0.1%
 
-48.021< 0.1%
 
ValueCountFrequency (%) 
938749.291< 0.1%
 
271261.51< 0.1%
 
270464.061< 0.1%
 
265425.581< 0.1%
 
261961.261< 0.1%
 

KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE
Real number (ℝ≥0)

ZEROS

Distinct76018
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3625.310251
Minimum0
Maximum340085.91
Zeros29337
Zeros (%)21.4%
Memory size1.0 MiB
2020-10-25T20:16:51.621954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1171
median1768.425
Q34883.5
95-th percentile13733.5875
Maximum340085.91
Range340085.91
Interquartile range (IQR)4712.5

Descriptive statistics

Standard deviation5253.34491
Coefficient of variation (CV)1.449074575
Kurtosis139.1174201
Mean3625.310251
Median Absolute Deviation (MAD)1768.425
Skewness4.866484901
Sum496362978.3
Variance27597632.75
MonotocityNot monotonic
2020-10-25T20:16:51.833602image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02933721.4%
 
29.51310.1%
 
28.51190.1%
 
59980.1%
 
85.5970.1%
 
57930.1%
 
88.5910.1%
 
206.5890.1%
 
32.75890.1%
 
29.25860.1%
 
Other values (76008)10668677.9%
 
ValueCountFrequency (%) 
02933721.4%
 
7.121< 0.1%
 
9.051< 0.1%
 
101< 0.1%
 
12.651< 0.1%
 
ValueCountFrequency (%) 
340085.911< 0.1%
 
121763.261< 0.1%
 
92821.351< 0.1%
 
88719.41< 0.1%
 
79761.981< 0.1%
 

KOSTEN_PARAMEDISCHE_ZORG_OVERIG
Real number (ℝ)

ZEROS

Distinct74302
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1736.739558
Minimum-46.02
Maximum258441.47
Zeros22856
Zeros (%)16.7%
Memory size1.0 MiB
2020-10-25T20:16:52.093140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-46.02
5-th percentile0
Q1122.045
median518.47
Q31514.2375
95-th percentile6435.145
Maximum258441.47
Range258487.49
Interquartile range (IQR)1392.1925

Descriptive statistics

Standard deviation5016.948869
Coefficient of variation (CV)2.888716875
Kurtosis247.1896119
Mean1736.739558
Median Absolute Deviation (MAD)518.47
Skewness11.48801444
Sum237787433.3
Variance25169775.95
MonotocityNot monotonic
2020-10-25T20:16:52.313125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02285616.7%
 
176.885120.4%
 
178.84550.3%
 
1864220.3%
 
933760.3%
 
88.443750.3%
 
117.923580.3%
 
1803440.3%
 
89.43020.2%
 
1243000.2%
 
Other values (74292)11061680.8%
 
ValueCountFrequency (%) 
-46.021< 0.1%
 
-28.91< 0.1%
 
02285616.7%
 
3.881< 0.1%
 
8.941< 0.1%
 
ValueCountFrequency (%) 
258441.471< 0.1%
 
219682.471< 0.1%
 
207652.461< 0.1%
 
184182.511< 0.1%
 
168919.611< 0.1%
 

KOSTEN_ZIEKENVERVOER_ZITTEND
Real number (ℝ)

ZEROS

Distinct33337
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean760.0814567
Minimum-114.92
Maximum136850
Zeros88328
Zeros (%)64.5%
Memory size1.0 MiB
2020-10-25T20:16:52.545356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/