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

Categorical2
Numeric25

Warnings

LEEFTIJDSKLASSE has a high cardinality: 91 distinct values High cardinality
AANTAL_BSN is highly correlated with AANTAL_VERZEKERDEJAREN and 6 other fieldsHigh correlation
AANTAL_VERZEKERDEJAREN is highly correlated with AANTAL_BSN and 9 other fieldsHigh correlation
KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG is highly correlated with AANTAL_BSN and 11 other fieldsHigh correlation
KOSTEN_FARMACIE is highly correlated with AANTAL_VERZEKERDEJAREN and 9 other fieldsHigh correlation
KOSTEN_SPECIALISTISCHE_GGZ is highly correlated with AANTAL_VERZEKERDEJAREN and 6 other fieldsHigh correlation
KOSTEN_HUISARTS_INSCHRIJFTARIEF is highly correlated with AANTAL_BSN and 11 other fieldsHigh correlation
KOSTEN_HUISARTS_CONSULT is highly correlated with AANTAL_BSN and 11 other fieldsHigh correlation
KOSTEN_HUISARTS_MDZ is highly correlated with KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG and 7 other fieldsHigh correlation
KOSTEN_HUISARTS_OVERIG is highly correlated with AANTAL_BSN and 11 other fieldsHigh correlation
KOSTEN_HULPMIDDELEN is highly correlated with KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG and 9 other fieldsHigh correlation
KOSTEN_MONDZORG is highly correlated with KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE and 1 other fieldsHigh correlation
KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE is highly correlated with KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG and 6 other fieldsHigh correlation
KOSTEN_PARAMEDISCHE_ZORG_OVERIG is highly correlated with KOSTEN_MONDZORGHigh correlation
KOSTEN_ZIEKENVERVOER_LIGGEND is highly correlated with AANTAL_BSN and 12 other fieldsHigh correlation
KOSTEN_KRAAMZORG is highly correlated with KOSTEN_VERLOSKUNDIGE_ZORG and 1 other fieldsHigh correlation
KOSTEN_VERLOSKUNDIGE_ZORG is highly correlated with KOSTEN_KRAAMZORG and 1 other fieldsHigh correlation
KOSTEN_GENERALISTISCHE_BASIS_GGZ is highly correlated with AANTAL_VERZEKERDEJAREN and 6 other fieldsHigh correlation
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG is highly correlated with AANTAL_BSN and 5 other fieldsHigh correlation
KOSTEN_GERIATRISCHE_REVALIDATIEZORG is highly correlated with KOSTEN_HULPMIDDELEN and 2 other fieldsHigh correlation
KOSTEN_VERPLEGING_EN_VERZORGING is highly correlated with KOSTEN_HULPMIDDELEN and 3 other fieldsHigh correlation
KOSTEN_OVERIG is highly correlated with KOSTEN_VERPLEGING_EN_VERZORGINGHigh correlation
AANTAL_BSN is highly correlated with AANTAL_VERZEKERDEJAREN and 11 other fieldsHigh correlation
AANTAL_VERZEKERDEJAREN is highly correlated with AANTAL_BSN and 12 other fieldsHigh correlation
KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG is highly correlated with AANTAL_BSN and 12 other fieldsHigh correlation
KOSTEN_FARMACIE is highly correlated with AANTAL_BSN and 12 other fieldsHigh correlation
KOSTEN_SPECIALISTISCHE_GGZ is highly correlated with AANTAL_BSN and 4 other fieldsHigh correlation
KOSTEN_HUISARTS_INSCHRIJFTARIEF is highly correlated with AANTAL_BSN and 14 other fieldsHigh correlation
KOSTEN_HUISARTS_CONSULT is highly correlated with AANTAL_BSN and 14 other fieldsHigh correlation
KOSTEN_HUISARTS_MDZ is highly correlated with KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG and 7 other fieldsHigh correlation
KOSTEN_HUISARTS_OVERIG is highly correlated with AANTAL_BSN and 12 other fieldsHigh correlation
KOSTEN_HULPMIDDELEN is highly correlated with AANTAL_BSN and 11 other fieldsHigh correlation
KOSTEN_MONDZORG is highly correlated with AANTAL_VERZEKERDEJAREN and 3 other fieldsHigh correlation
KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE is highly correlated with AANTAL_BSN and 9 other fieldsHigh correlation
KOSTEN_PARAMEDISCHE_ZORG_OVERIG is highly correlated with AANTAL_BSN and 6 other fieldsHigh correlation
KOSTEN_ZIEKENVERVOER_ZITTEND is highly correlated with KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG and 1 other fieldsHigh correlation
KOSTEN_ZIEKENVERVOER_LIGGEND is highly correlated with KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG and 9 other fieldsHigh correlation
KOSTEN_KRAAMZORG is highly correlated with KOSTEN_VERLOSKUNDIGE_ZORGHigh correlation
KOSTEN_VERLOSKUNDIGE_ZORG is highly correlated with KOSTEN_KRAAMZORGHigh correlation
KOSTEN_GENERALISTISCHE_BASIS_GGZ is highly correlated with AANTAL_BSN and 2 other fieldsHigh correlation
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG is highly correlated with AANTAL_BSN and 4 other fieldsHigh correlation
KOSTEN_GERIATRISCHE_REVALIDATIEZORG is highly correlated with KOSTEN_ZIEKENVERVOER_LIGGEND and 1 other fieldsHigh correlation
KOSTEN_VERPLEGING_EN_VERZORGING is highly correlated with KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG and 6 other fieldsHigh correlation
KOSTEN_OVERIG is highly correlated with KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG and 6 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 started2021-05-11 22:15:54.128239
Analysis finished2021-05-11 22:17:54.352334
Duration2 minutes and 0.22 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

GESLACHT
Categorical

Distinct2
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size1.0 MiB
V
68671 
M
68244 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters136915
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowM
3rd rowM
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%
(Missing)1
 
< 0.1%

Length

2021-05-11T22:17:54.524062image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-05-11T22:17:54.603637image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
v68671
50.2%
m68244
49.8%

Most occurring characters

ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter136915
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%

Most occurring scripts

ValueCountFrequency (%)
Latin136915
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII136915
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
V68671
50.2%
M68244
49.8%

LEEFTIJDSKLASSE
Categorical

HIGH CARDINALITY

Distinct91
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size1.0 MiB
54
 
1562
57
 
1559
48
 
1559
55
 
1558
52
 
1558
Other values (86)
129119 

Length

Max length3
Median length2
Mean length1.899733411
Min length1

Characters and Unicode

Total characters260102
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
541562
 
1.1%
571559
 
1.1%
481559
 
1.1%
551558
 
1.1%
521558
 
1.1%
501558
 
1.1%
471557
 
1.1%
511556
 
1.1%
601556
 
1.1%
491556
 
1.1%
Other values (81)121336
88.6%

Length

2021-05-11T22:17:54.880199image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
541562
 
1.1%
481559
 
1.1%
571559
 
1.1%
551558
 
1.1%
521558
 
1.1%
501558
 
1.1%
471557
 
1.1%
601556
 
1.1%
491556
 
1.1%
511556
 
1.1%
Other values (81)121336
88.6%

Most occurring characters

ValueCountFrequency (%)
529124
11.2%
129067
11.2%
629022
11.2%
429012
11.2%
328759
11.1%
228743
11.1%
728500
11.0%
826575
10.2%
015142
5.8%
914724
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number258668
99.4%
Math Symbol1434
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
529124
11.3%
129067
11.2%
629022
11.2%
429012
11.2%
328759
11.1%
228743
11.1%
728500
11.0%
826575
10.3%
015142
5.9%
914724
5.7%
Math Symbol
ValueCountFrequency (%)
+1434
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common260102
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
529124
11.2%
129067
11.2%
629022
11.2%
429012
11.2%
328759
11.1%
228743
11.1%
728500
11.0%
826575
10.2%
015142
5.8%
914724
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII260102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
529124
11.2%
129067
11.2%
629022
11.2%
429012
11.2%
328759
11.1%
228743
11.1%
728500
11.0%
826575
10.2%
015142
5.8%
914724
5.7%

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%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-05-11T22:17:55.034493image/svg+xmlMatplotlib v3.4.2, 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
MonotonicityNot monotonic
2021-05-11T22:17:55.203358image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
685182
 
0.1%
534182
 
0.1%
666182
 
0.1%
537182
 
0.1%
488182
 
0.1%
924182
 
0.1%
656182
 
0.1%
860182
 
0.1%
445182
 
0.1%
311182
 
0.1%
Other values (784)135095
98.7%
ValueCountFrequency (%)
0182
0.1%
101182
0.1%
102182
0.1%
103182
0.1%
10416
 
< 0.1%
105182
0.1%
106182
0.1%
107182
0.1%
108182
0.1%
109182
0.1%
ValueCountFrequency (%)
999166
0.1%
998182
0.1%
997172
0.1%
996176
0.1%
995180
0.1%
994171
0.1%
993182
0.1%
99284
0.1%
991174
0.1%
990182
0.1%

AANTAL_BSN
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct1126
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.8387478
Minimum10
Maximum356551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-05-11T22:17:55.377814image/svg+xmlMatplotlib v3.4.2, 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
MonotonicityNot monotonic
2021-05-11T22:17:55.542875image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191161
 
0.8%
211148
 
0.8%
291147
 
0.8%
281140
 
0.8%
221140
 
0.8%
201137
 
0.8%
181133
 
0.8%
331128
 
0.8%
351127
 
0.8%
301123
 
0.8%
Other values (1116)125532
91.7%
ValueCountFrequency (%)
101022
0.7%
111034
0.8%
121078
0.8%
131066
0.8%
141066
0.8%
151081
0.8%
161095
0.8%
171102
0.8%
181133
0.8%
191161
0.8%
ValueCountFrequency (%)
3565511
< 0.1%
23111
< 0.1%
22921
< 0.1%
22321
< 0.1%
21301
< 0.1%
21251
< 0.1%
20971
< 0.1%
20201
< 0.1%
20191
< 0.1%
19821
< 0.1%

AANTAL_VERZEKERDEJAREN
Real number (ℝ≥0)

HIGH CORRELATION
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%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-05-11T22:17:55.717262image/svg+xmlMatplotlib v3.4.2, 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
MonotonicityNot monotonic
2021-05-11T22:17:55.887734image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12749
 
0.5%
11738
 
0.5%
19718
 
0.5%
21710
 
0.5%
15707
 
0.5%
10704
 
0.5%
16703
 
0.5%
14701
 
0.5%
13689
 
0.5%
18682
 
0.5%
Other values (34836)129815
94.8%
ValueCountFrequency (%)
3.091
< 0.1%
3.951
< 0.1%
4.11
< 0.1%
4.331
< 0.1%
4.471
< 0.1%
4.551
< 0.1%
4.61
< 0.1%
4.71
< 0.1%
4.711
< 0.1%
4.752
< 0.1%
ValueCountFrequency (%)
196219.741
< 0.1%
2220.621
< 0.1%
2191.361
< 0.1%
2130.011
< 0.1%
2047.131
< 0.1%
2044.541
< 0.1%
2015.591
< 0.1%
1935.151
< 0.1%
1920.071
< 0.1%
1888.451
< 0.1%

KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct136549
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165218.8045
Minimum-7777
Maximum46978766.76
Zeros19
Zeros (%)< 0.1%
Negative1
Negative (%)< 0.1%
Memory size1.0 MiB
2021-05-11T22:17:56.060929image/svg+xmlMatplotlib v3.4.2, 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
Sum2.262109784 × 1010
Variance6.057409949 × 1010
MonotonicityNot monotonic
2021-05-11T22:17:56.224789image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019
 
< 0.1%
68924.492
 
< 0.1%
20135.892
 
< 0.1%
10450.262
 
< 0.1%
42567.542
 
< 0.1%
63450.962
 
< 0.1%
45953.52
 
< 0.1%
16293.952
 
< 0.1%
84962.092
 
< 0.1%
15847.022
 
< 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%
31.351
 
< 0.1%
32.761
 
< 0.1%
38.361
 
< 0.1%
39.381
 
< 0.1%
48.521
 
< 0.1%
ValueCountFrequency (%)
46978766.761
< 0.1%
4462180.081
< 0.1%
4142347.51
< 0.1%
3839430.51
< 0.1%
3616606.711
< 0.1%
3608489.091
< 0.1%
3254328.151
< 0.1%
3132180.451
< 0.1%
30865361
< 0.1%
2956602.551
< 0.1%

KOSTEN_FARMACIE
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct134842
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33974.63187
Minimum14.11
Maximum8368957.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-05-11T22:17:56.530988image/svg+xmlMatplotlib v3.4.2, 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
MonotonicityNot monotonic
2021-05-11T22:17:56.704531image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3899.743
 
< 0.1%
2797.033
 
< 0.1%
6985.333
 
< 0.1%
28952.863
 
< 0.1%
2217.623
 
< 0.1%
4341.593
 
< 0.1%
2848.83
 
< 0.1%
765.863
 
< 0.1%
913.713
 
< 0.1%
10959.433
 
< 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%
151
< 0.1%
16.261
< 0.1%
16.321
< 0.1%
16.831
< 0.1%
19.871
< 0.1%
ValueCountFrequency (%)
8368957.111
< 0.1%
1231629.741
< 0.1%
1166271.421
< 0.1%
1147381.841
< 0.1%
1015539.561
< 0.1%
970984.661
< 0.1%
927593.721
< 0.1%
923080.71
< 0.1%
904922.341
< 0.1%
892637.91
< 0.1%

KOSTEN_SPECIALISTISCHE_GGZ
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
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%
Negative5
Negative (%)< 0.1%
Memory size1.0 MiB
2021-05-11T22:17:56.869932image/svg+xmlMatplotlib v3.4.2, 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
MonotonicityNot monotonic
2021-05-11T22:17:57.039117image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
052814
38.6%
616.73181
 
0.1%
1109.94163
 
0.1%
2502.32145
 
0.1%
1028.98125
 
0.1%
2500.54106
 
0.1%
2450.7298
 
0.1%
585.6693
 
0.1%
635.0288
 
0.1%
320.7487
 
0.1%
Other values (69084)83016
60.6%
ValueCountFrequency (%)
-66348.61
 
< 0.1%
-56879.221
 
< 0.1%
-28221.911
 
< 0.1%
-17118.931
 
< 0.1%
-15556.561
 
< 0.1%
052814
38.6%
26.951
 
< 0.1%
95.81
 
< 0.1%
99.881
 
< 0.1%
102.261
 
< 0.1%
ValueCountFrequency (%)
7669881.831
< 0.1%
1160281.641
< 0.1%
910582.081
< 0.1%
890716.441
< 0.1%
857109.741
< 0.1%
847733.641
< 0.1%
830797.111
< 0.1%
8108191
< 0.1%
808372.351
< 0.1%
775105.511
< 0.1%

KOSTEN_HUISARTS_INSCHRIJFTARIEF
Real number (ℝ≥0)

HIGH CORRELATION
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%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-05-11T22:17:57.246732image/svg+xmlMatplotlib v3.4.2, 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
MonotonicityNot monotonic
2021-05-11T22:17:57.425299image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
719.52529
 
0.4%
659.56488
 
0.4%
1259.16483
 
0.4%
1019.32477
 
0.3%
1139.24474
 
0.3%
1199.2469
 
0.3%
959.36465
 
0.3%
899.4453
 
0.3%
1319.12452
 
0.3%
599.6446
 
0.3%
Other values (35365)132180
96.5%
ValueCountFrequency (%)
59.961
 
< 0.1%
104.931
 
< 0.1%
149.92
 
< 0.1%
164.898
< 0.1%
179.886
< 0.1%
194.877
< 0.1%
196.541
 
< 0.1%
209.8611
< 0.1%
211.531
 
< 0.1%
224.856
< 0.1%
ValueCountFrequency (%)
3973069.451
< 0.1%
133923.661
< 0.1%
130108.51
< 0.1%
127593.251
< 0.1%
121932.841
< 0.1%
119787.761
< 0.1%
118717.951
< 0.1%
116719.141
< 0.1%
109312.391
< 0.1%
108843.811
< 0.1%

KOSTEN_HUISARTS_CONSULT
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct95969
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5202.935385
Minimum0
Maximum1261062.66
Zeros38
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-05-11T22:17:57.603776image/svg+xmlMatplotlib v3.4.2, 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
MonotonicityNot monotonic
2021-05-11T22:17:57.783642image/svg+xmlMatplotlib v3.4.2, 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%
226.219
 
< 0.1%
33719
 
< 0.1%
355.4519
 
< 0.1%
332.3719
 
< 0.1%
300.0418
 
< 0.1%
443.1718
 
< 0.1%
Other values (95959)136704
99.8%
ValueCountFrequency (%)
038
< 0.1%
1.751
 
< 0.1%
21
 
< 0.1%
2.483
 
< 0.1%
2.921
 
< 0.1%
3.122
 
< 0.1%
3.41
 
< 0.1%
3.51
 
< 0.1%
3.81
 
< 0.1%
4.6217
< 0.1%
ValueCountFrequency (%)
1261062.661
< 0.1%
236449.851
< 0.1%
166311.621
< 0.1%
150052.211
< 0.1%
144627.11
< 0.1%
144054.241
< 0.1%
137037.691
< 0.1%
118429.841
< 0.1%
118425.911
< 0.1%
117121.591
< 0.1%

KOSTEN_HUISARTS_MDZ
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct102579
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4141.753646
Minimum0
Maximum793129.65
Zeros11082
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-05-11T22:17:57.956933image/svg+xmlMatplotlib v3.4.2, 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
MonotonicityNot monotonic
2021-05-11T22:17:58.126186image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011082
 
8.1%
0.22177
 
0.1%
22.82160
 
0.1%
0.33157
 
0.1%
41.82137
 
0.1%
414.48124
 
0.1%
235122
 
0.1%
3.2121
 
0.1%
0.26121
 
0.1%
0.55112
 
0.1%
Other values (102569)124603
91.0%
ValueCountFrequency (%)
011082
8.1%
0.1168
 
< 0.1%
0.122
 
< 0.1%
0.1326
 
< 0.1%
0.166
 
< 0.1%
0.176
 
< 0.1%
0.1817
 
< 0.1%
0.22
 
< 0.1%
0.214
 
< 0.1%
0.22177
 
0.1%
ValueCountFrequency (%)
793129.651
< 0.1%
148980.281
< 0.1%
134874.461
< 0.1%
116405.581
< 0.1%
107586.711
< 0.1%
98644.71
< 0.1%
96674.671
< 0.1%
87317.591
< 0.1%
84933.971
< 0.1%
81301.221
< 0.1%

KOSTEN_HUISARTS_OVERIG
Real number (ℝ)

HIGH CORRELATION
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%
Negative1
Negative (%)< 0.1%
Memory size1.0 MiB
2021-05-11T22:17:58.303412image/svg+xmlMatplotlib v3.4.2, 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
MonotonicityNot monotonic
2021-05-11T22:17:58.473933image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3563.214
 
< 0.1%
2679.174
 
< 0.1%
4844.224
 
< 0.1%
1966.384
 
< 0.1%
2232.354
 
< 0.1%
2235.694
 
< 0.1%
39994
 
< 0.1%
4802.84
 
< 0.1%
1770.464
 
< 0.1%
3218.054
 
< 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%
82.431
< 0.1%
84.361
< 0.1%
87.571
< 0.1%
87.711
< 0.1%
89.851
< 0.1%
ValueCountFrequency (%)
3402557.071
< 0.1%
192792.031
< 0.1%
161228.241
< 0.1%
143081.981
< 0.1%
137433.241
< 0.1%
136809.621
< 0.1%
117383.661
< 0.1%
111467.951
< 0.1%
110544.051
< 0.1%
107780.391
< 0.1%

KOSTEN_HULPMIDDELEN
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct119605
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10638.33065
Minimum0
Maximum1675945.12
Zeros6525
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-05-11T22:17:58.651420image/svg+xmlMatplotlib v3.4.2, 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
MonotonicityNot monotonic
2021-05-11T22:17:58.972276image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06525
 
4.8%
29.1838
 
0.6%
30.55285
 
0.2%
23.5273
 
0.2%
58.2173
 
0.1%
30.71141
 
0.1%
29.42131
 
0.1%
46126
 
0.1%
32.33118
 
0.1%
59.6586
 
0.1%
Other values (119595)128220
93.6%
ValueCountFrequency (%)
06525
4.8%
0.181
 
< 0.1%
0.191
 
< 0.1%
0.23
 
< 0.1%
0.212
 
< 0.1%
0.241
 
< 0.1%
0.261
 
< 0.1%
0.272
 
< 0.1%
0.291
 
< 0.1%
0.312
 
< 0.1%
ValueCountFrequency (%)
1675945.121
< 0.1%
706827.191
< 0.1%
543395.351
< 0.1%
461447.341
< 0.1%
454747.291
< 0.1%
436153.561
< 0.1%
412941.031
< 0.1%
412223.071
< 0.1%
405370.91
< 0.1%
405047.171
< 0.1%

KOSTEN_MONDZORG
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct95906
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5379.195574
Minimum-444.08
Maximum938749.29
Zeros27688
Zeros (%)20.2%
Negative20
Negative (%)< 0.1%
Memory size1.0 MiB
2021-05-11T22:17:59.143418image/svg+xmlMatplotlib v3.4.2, 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
MonotonicityNot monotonic
2021-05-11T22:17:59.308988image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027688
 
20.2%
84.98267
 
0.2%
20.44222
 
0.2%
74.19198
 
0.1%
40.88128
 
0.1%
61.3290
 
0.1%
59.5379
 
0.1%
120.375
 
0.1%
162.5575
 
0.1%
156.3170
 
0.1%
Other values (95896)108024
78.9%
ValueCountFrequency (%)
-444.081
 
< 0.1%
-441.91
 
< 0.1%
-83.513
 
< 0.1%
-82.881
 
< 0.1%
-48.021
 
< 0.1%
-46.851
 
< 0.1%
-35.751
 
< 0.1%
-15.031
 
< 0.1%
027688
20.2%
0.012
 
< 0.1%
ValueCountFrequency (%)
938749.291
< 0.1%
271261.51
< 0.1%
270464.061
< 0.1%
265425.581
< 0.1%
261961.261
< 0.1%
255148.131
< 0.1%
254949.171
< 0.1%
234917.241
< 0.1%
232668.481
< 0.1%
226923.051
< 0.1%

KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct76018
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3625.310251
Minimum0
Maximum340085.91
Zeros29337
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-05-11T22:17:59.469477image/svg+xmlMatplotlib v3.4.2, 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
MonotonicityNot monotonic
2021-05-11T22:17:59.628960image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
029337
 
21.4%
29.5131
 
0.1%
28.5119
 
0.1%
5998
 
0.1%
85.597
 
0.1%
5793
 
0.1%
88.591
 
0.1%
206.589
 
0.1%
32.7589
 
0.1%
29.2586
 
0.1%
Other values (76008)106686
77.9%
ValueCountFrequency (%)
029337
21.4%
7.121
 
< 0.1%
9.051
 
< 0.1%
101
 
< 0.1%
12.651
 
< 0.1%
151
 
< 0.1%
162
 
< 0.1%
16.61
 
< 0.1%
17.51
 
< 0.1%
17.862
 
< 0.1%
ValueCountFrequency (%)
340085.911
< 0.1%
121763.261
< 0.1%
92821.351
< 0.1%
88719.41
< 0.1%
79761.981
< 0.1%
75395.721
< 0.1%
74152.851
< 0.1%
73666.861
< 0.1%
70915.71
< 0.1%
706971
< 0.1%

KOSTEN_PARAMEDISCHE_ZORG_OVERIG
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct74302
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1736.739558
Minimum-46.02
Maximum258441.47
Zeros22856
Zeros (%)16.7%
Negative2
Negative (%)< 0.1%
Memory size1.0 MiB
2021-05-11T22:17:59.799209image/svg+xmlMatplotlib v3.4.2, 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
MonotonicityNot monotonic
2021-05-11T22:17:59.967605image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
022856
 
16.7%
176.88512
 
0.4%
178.8455
 
0.3%
186422
 
0.3%
93376
 
0.3%
88.44375
 
0.3%
117.92358
 
0.3%
180344
 
0.3%
89.4302
 
0.2%
124300
 
0.2%
Other values (74292)110616
80.8%
ValueCountFrequency (%)
-46.021
 
< 0.1%
-28.91
 
< 0.1%
022856
16.7%
3.881
 
< 0.1%
8.941
 
< 0.1%
93
 
< 0.1%
9.681
 
< 0.1%
9.923
 
< 0.1%
101
 
< 0.1%
10.221
 
< 0.1%
ValueCountFrequency (%)
258441.471
< 0.1%
219682.471
< 0.1%
207652.461
< 0.1%
184182.511
< 0.1%
168919.611
< 0.1%
165150.91
< 0.1%
154776.241
< 0.1%
142722.861
< 0.1%
141009.931
< 0.1%
131540.91
< 0.1%

KOSTEN_ZIEKENVERVOER_ZITTEND
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct33337
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean760.0814567
Minimum-114.92
Maximum136850
Zeros88328
Zeros (%)64.5%
Negative3
Negative (%)< 0.1%
Memory size1.0 MiB
2021-05-11T22:18:00.127932image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-114.92
5-th percentile0
Q10
median0
Q3412.985
95-th percentile4466.335
Maximum136850
Range136964.92
Interquartile range (IQR)412.985

Descriptive statistics

Standard deviation2134.031625
Coefficient of variation (CV)2.807635427
Kurtosis162.8472167
Mean760.0814567
Median Absolute Deviation (MAD)0
Skewness7.025894536
Sum104067312.7
Variance4554090.977
MonotonicityNot monotonic
2021-05-11T22:18:00.287967image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
088328
64.5%
6853
 
< 0.1%
0.846
 
< 0.1%
101.645
 
< 0.1%
28.842
 
< 0.1%
1240
 
< 0.1%
23639
 
< 0.1%
202.438
 
< 0.1%
40435
 
< 0.1%
14.434
 
< 0.1%
Other values (33327)48216
35.2%
ValueCountFrequency (%)
-114.921
 
< 0.1%
-1001
 
< 0.1%
-39.121
 
< 0.1%
088328
64.5%
0.011
 
< 0.1%
0.041
 
< 0.1%
0.051
 
< 0.1%
0.061
 
< 0.1%
0.121
 
< 0.1%
0.152
 
< 0.1%
ValueCountFrequency (%)
1368501
< 0.1%
46078.711
< 0.1%
42960.971
< 0.1%
41745.031
< 0.1%
41298.81
< 0.1%
40493.051
< 0.1%
39954.891
< 0.1%
39794.511
< 0.1%
39333.81
< 0.1%
39110.921
< 0.1%

KOSTEN_ZIEKENVERVOER_LIGGEND
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct34449
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4087.406303
Minimum0
Maximum1863993.75
Zeros32887
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2021-05-11T22:18:00.461727image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1509.39
median1781.67
Q35094.565
95-th percentile15605.5725
Maximum1863993.75
Range1863993.75
Interquartile range (IQR)4585.175

Descriptive statistics

Standard deviation8478.113404
Coefficient of variation (CV)2.074203731
Kurtosis16981.06412
Mean4087.406303
Median Absolute Deviation (MAD)1781.67
Skewness80.99502686
Sum559631321.4
Variance71878406.9
MonotonicityNot monotonic
2021-05-11T22:18:00.634351image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/