Overview

Dataset statistics

Number of variables22
Number of observations54
Missing cells510
Missing cells (%)42.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory198.4 B

Variable types

Categorical3
Numeric19

Dataset

Description경기도 북부 시군 규모별 질병별 산재현황입니다.
Author근로복지공단
URLhttps://www.data.go.kr/data/15078176/fileData.do

Alerts

연천군 승인 is highly imbalanced (60.6%)Imbalance
가평군 신청 has 35 (64.8%) missing valuesMissing
가평군 승인 has 40 (74.1%) missing valuesMissing
고양시 신청 has 16 (29.6%) missing valuesMissing
고양시 승인 has 21 (38.9%) missing valuesMissing
구리시 신청 has 27 (50.0%) missing valuesMissing
구리시 승인 has 29 (53.7%) missing valuesMissing
남양주시 신청 has 17 (31.5%) missing valuesMissing
남양주시 승인 has 23 (42.6%) missing valuesMissing
동두천시 신청 has 34 (63.0%) missing valuesMissing
동두천시 승인 has 39 (72.2%) missing valuesMissing
양주시 신청 has 23 (42.6%) missing valuesMissing
양주시 승인 has 32 (59.3%) missing valuesMissing
연천군 신청 has 34 (63.0%) missing valuesMissing
의정부시 신청 has 22 (40.7%) missing valuesMissing
의정부시 승인 has 29 (53.7%) missing valuesMissing
파주시 신청 has 16 (29.6%) missing valuesMissing
파주시 승인 has 21 (38.9%) missing valuesMissing
포천시 신청 has 24 (44.4%) missing valuesMissing
포천시 승인 has 28 (51.9%) missing valuesMissing

Reproduction

Analysis started2023-12-13 00:14:08.036471
Analysis finished2023-12-13 00:14:08.257581
Duration0.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

질병별
Categorical

Distinct6
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
전체질병
9 
근골격계
9 
뇌심혈관
9 
정신질병
9 
직업성암
9 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체질병 9
16.7%
근골격계 9
16.7%
뇌심혈관 9
16.7%
정신질병 9
16.7%
직업성암 9
16.7%
기타질병 9
16.7%

Length

2023-12-13T09:14:08.316267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:14:08.398329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체질병 9
16.7%
근골격계 9
16.7%
뇌심혈관 9
16.7%
정신질병 9
16.7%
직업성암 9
16.7%
기타질병 9
16.7%

규모별
Categorical

Distinct9
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
전체규모
6 
1000인 이상
6 
500~1000인 미만
6 
300~500인 미만
6 
100~300인 미만
6 
Other values (4)
24 

Length

Max length12
Median length10
Mean length8.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전체규모
2nd row1000인 이상
3rd row500~1000인 미만
4th row300~500인 미만
5th row100~300인 미만

Common Values

ValueCountFrequency (%)
전체규모 6
11.1%
1000인 이상 6
11.1%
500~1000인 미만 6
11.1%
300~500인 미만 6
11.1%
100~300인 미만 6
11.1%
50~100인 미만 6
11.1%
30~50인 미만 6
11.1%
5~30인 미만 6
11.1%
5인 미만 6
11.1%

Length

2023-12-13T09:14:08.497725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:14:08.818775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미만 42
41.2%
전체규모 6
 
5.9%
1000인 6
 
5.9%
이상 6
 
5.9%
500~1000인 6
 
5.9%
300~500인 6
 
5.9%
100~300인 6
 
5.9%
50~100인 6
 
5.9%
30~50인 6
 
5.9%
5~30인 6
 
5.9%

가평군 신청
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)42.1%
Missing35
Missing (%)64.8%
Infinite0
Infinite (%)0.0%
Mean3.3684211
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:08.926475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile8.8
Maximum16
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.6394524
Coefficient of variation (CV)1.0804624
Kurtosis8.0205306
Mean3.3684211
Median Absolute Deviation (MAD)1
Skewness2.6205263
Sum64
Variance13.245614
MonotonicityNot monotonic
2023-12-13T09:14:09.021178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 7
 
13.0%
2 4
 
7.4%
3 2
 
3.7%
4 2
 
3.7%
16 1
 
1.9%
6 1
 
1.9%
5 1
 
1.9%
8 1
 
1.9%
(Missing) 35
64.8%
ValueCountFrequency (%)
1 7
13.0%
2 4
7.4%
3 2
 
3.7%
4 2
 
3.7%
5 1
 
1.9%
6 1
 
1.9%
8 1
 
1.9%
16 1
 
1.9%
ValueCountFrequency (%)
16 1
 
1.9%
8 1
 
1.9%
6 1
 
1.9%
5 1
 
1.9%
4 2
 
3.7%
3 2
 
3.7%
2 4
7.4%
1 7
13.0%

가평군 승인
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)42.9%
Missing40
Missing (%)74.1%
Infinite0
Infinite (%)0.0%
Mean2.5714286
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:09.110962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.75
95-th percentile7.05
Maximum9
Range8
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation2.3440362
Coefficient of variation (CV)0.91156962
Kurtosis3.8094255
Mean2.5714286
Median Absolute Deviation (MAD)1
Skewness1.9854643
Sum36
Variance5.4945055
MonotonicityNot monotonic
2023-12-13T09:14:09.190682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 6
 
11.1%
2 4
 
7.4%
9 1
 
1.9%
3 1
 
1.9%
4 1
 
1.9%
6 1
 
1.9%
(Missing) 40
74.1%
ValueCountFrequency (%)
1 6
11.1%
2 4
7.4%
3 1
 
1.9%
4 1
 
1.9%
6 1
 
1.9%
9 1
 
1.9%
ValueCountFrequency (%)
9 1
 
1.9%
6 1
 
1.9%
4 1
 
1.9%
3 1
 
1.9%
2 4
7.4%
1 6
11.1%

고양시 신청
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)44.7%
Missing16
Missing (%)29.6%
Infinite0
Infinite (%)0.0%
Mean9.7894737
Minimum1
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:09.279912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q37.75
95-th percentile32.6
Maximum93
Range92
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation17.551712
Coefficient of variation (CV)1.7929168
Kurtosis14.094326
Mean9.7894737
Median Absolute Deviation (MAD)2
Skewness3.4872453
Sum372
Variance308.06259
MonotonicityNot monotonic
2023-12-13T09:14:09.374028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 12
22.2%
2 5
 
9.3%
5 4
 
7.4%
3 3
 
5.6%
4 2
 
3.7%
16 1
 
1.9%
6 1
 
1.9%
14 1
 
1.9%
7 1
 
1.9%
21 1
 
1.9%
Other values (7) 7
13.0%
(Missing) 16
29.6%
ValueCountFrequency (%)
1 12
22.2%
2 5
9.3%
3 3
 
5.6%
4 2
 
3.7%
5 4
 
7.4%
6 1
 
1.9%
7 1
 
1.9%
8 1
 
1.9%
14 1
 
1.9%
16 1
 
1.9%
ValueCountFrequency (%)
93 1
1.9%
53 1
1.9%
29 1
1.9%
28 1
1.9%
21 1
1.9%
20 1
1.9%
18 1
1.9%
16 1
1.9%
14 1
1.9%
8 1
1.9%

고양시 승인
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)39.4%
Missing21
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean7.5151515
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:09.458970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q37
95-th percentile27.6
Maximum62
Range61
Interquartile range (IQR)6

Descriptive statistics

Standard deviation12.72822
Coefficient of variation (CV)1.6936744
Kurtosis11.455309
Mean7.5151515
Median Absolute Deviation (MAD)2
Skewness3.2416221
Sum248
Variance162.00758
MonotonicityNot monotonic
2023-12-13T09:14:09.543842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 10
18.5%
2 6
 
11.1%
3 5
 
9.3%
14 2
 
3.7%
7 2
 
3.7%
62 1
 
1.9%
5 1
 
1.9%
16 1
 
1.9%
18 1
 
1.9%
42 1
 
1.9%
Other values (3) 3
 
5.6%
(Missing) 21
38.9%
ValueCountFrequency (%)
1 10
18.5%
2 6
11.1%
3 5
9.3%
4 1
 
1.9%
5 1
 
1.9%
7 2
 
3.7%
9 1
 
1.9%
13 1
 
1.9%
14 2
 
3.7%
16 1
 
1.9%
ValueCountFrequency (%)
62 1
1.9%
42 1
1.9%
18 1
1.9%
16 1
1.9%
14 2
3.7%
13 1
1.9%
9 1
1.9%
7 2
3.7%
5 1
1.9%
4 1
1.9%

구리시 신청
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)37.0%
Missing27
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean4.8888889
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:09.620769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile15.7
Maximum33
Range32
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.9632736
Coefficient of variation (CV)1.424306
Kurtosis10.108164
Mean4.8888889
Median Absolute Deviation (MAD)2
Skewness2.9723068
Sum132
Variance48.487179
MonotonicityNot monotonic
2023-12-13T09:14:09.714000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 11
20.4%
4 5
 
9.3%
3 3
 
5.6%
2 2
 
3.7%
33 1
 
1.9%
15 1
 
1.9%
16 1
 
1.9%
8 1
 
1.9%
11 1
 
1.9%
5 1
 
1.9%
(Missing) 27
50.0%
ValueCountFrequency (%)
1 11
20.4%
2 2
 
3.7%
3 3
 
5.6%
4 5
9.3%
5 1
 
1.9%
8 1
 
1.9%
11 1
 
1.9%
15 1
 
1.9%
16 1
 
1.9%
33 1
 
1.9%
ValueCountFrequency (%)
33 1
 
1.9%
16 1
 
1.9%
15 1
 
1.9%
11 1
 
1.9%
8 1
 
1.9%
5 1
 
1.9%
4 5
9.3%
3 3
 
5.6%
2 2
 
3.7%
1 11
20.4%

구리시 승인
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)32.0%
Missing29
Missing (%)53.7%
Infinite0
Infinite (%)0.0%
Mean3.52
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:09.798031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile9.8
Maximum22
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.6288948
Coefficient of variation (CV)1.3150269
Kurtosis10.591211
Mean3.52
Median Absolute Deviation (MAD)1
Skewness3.0408546
Sum88
Variance21.426667
MonotonicityNot monotonic
2023-12-13T09:14:09.871291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 10
 
18.5%
2 6
 
11.1%
3 4
 
7.4%
22 1
 
1.9%
9 1
 
1.9%
10 1
 
1.9%
5 1
 
1.9%
8 1
 
1.9%
(Missing) 29
53.7%
ValueCountFrequency (%)
1 10
18.5%
2 6
11.1%
3 4
 
7.4%
5 1
 
1.9%
8 1
 
1.9%
9 1
 
1.9%
10 1
 
1.9%
22 1
 
1.9%
ValueCountFrequency (%)
22 1
 
1.9%
10 1
 
1.9%
9 1
 
1.9%
8 1
 
1.9%
5 1
 
1.9%
3 4
 
7.4%
2 6
11.1%
1 10
18.5%

남양주시 신청
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)45.9%
Missing17
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean11.567568
Minimum1
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:09.948849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q310
95-th percentile45.4
Maximum107
Range106
Interquartile range (IQR)8

Descriptive statistics

Standard deviation20.542017
Coefficient of variation (CV)1.7758286
Kurtosis13.497439
Mean11.567568
Median Absolute Deviation (MAD)3
Skewness3.4506205
Sum428
Variance421.97447
MonotonicityNot monotonic
2023-12-13T09:14:10.030442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 7
13.0%
1 7
13.0%
3 4
 
7.4%
4 2
 
3.7%
7 2
 
3.7%
8 2
 
3.7%
5 2
 
3.7%
14 2
 
3.7%
26 1
 
1.9%
10 1
 
1.9%
Other values (7) 7
13.0%
(Missing) 17
31.5%
ValueCountFrequency (%)
1 7
13.0%
2 7
13.0%
3 4
7.4%
4 2
 
3.7%
5 2
 
3.7%
6 1
 
1.9%
7 2
 
3.7%
8 2
 
3.7%
10 1
 
1.9%
14 2
 
3.7%
ValueCountFrequency (%)
107 1
1.9%
63 1
1.9%
41 1
1.9%
26 1
1.9%
24 1
1.9%
22 1
1.9%
20 1
1.9%
14 2
3.7%
10 1
1.9%
8 2
3.7%

남양주시 승인
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)45.2%
Missing23
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean8.7741935
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:10.128875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q39
95-th percentile35
Maximum68
Range67
Interquartile range (IQR)7

Descriptive statistics

Standard deviation14.141451
Coefficient of variation (CV)1.6117095
Kurtosis10.634598
Mean8.7741935
Median Absolute Deviation (MAD)2
Skewness3.1086187
Sum272
Variance199.98065
MonotonicityNot monotonic
2023-12-13T09:14:10.214494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 6
 
11.1%
2 6
 
11.1%
3 5
 
9.3%
12 2
 
3.7%
5 2
 
3.7%
6 2
 
3.7%
68 1
 
1.9%
28 1
 
1.9%
15 1
 
1.9%
42 1
 
1.9%
Other values (4) 4
 
7.4%
(Missing) 23
42.6%
ValueCountFrequency (%)
1 6
11.1%
2 6
11.1%
3 5
9.3%
4 1
 
1.9%
5 2
 
3.7%
6 2
 
3.7%
8 1
 
1.9%
10 1
 
1.9%
12 2
 
3.7%
15 1
 
1.9%
ValueCountFrequency (%)
68 1
1.9%
42 1
1.9%
28 1
1.9%
18 1
1.9%
15 1
1.9%
12 2
3.7%
10 1
1.9%
8 1
1.9%
6 2
3.7%
5 2
3.7%

동두천시 신청
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)35.0%
Missing34
Missing (%)63.0%
Infinite0
Infinite (%)0.0%
Mean2.6
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:10.294336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.25
95-th percentile8.25
Maximum13
Range12
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation3.0331502
Coefficient of variation (CV)1.1665962
Kurtosis7.2647293
Mean2.6
Median Absolute Deviation (MAD)0
Skewness2.6259538
Sum52
Variance9.2
MonotonicityNot monotonic
2023-12-13T09:14:10.374500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 11
 
20.4%
2 4
 
7.4%
13 1
 
1.9%
3 1
 
1.9%
5 1
 
1.9%
8 1
 
1.9%
4 1
 
1.9%
(Missing) 34
63.0%
ValueCountFrequency (%)
1 11
20.4%
2 4
 
7.4%
3 1
 
1.9%
4 1
 
1.9%
5 1
 
1.9%
8 1
 
1.9%
13 1
 
1.9%
ValueCountFrequency (%)
13 1
 
1.9%
8 1
 
1.9%
5 1
 
1.9%
4 1
 
1.9%
3 1
 
1.9%
2 4
 
7.4%
1 11
20.4%

동두천시 승인
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)40.0%
Missing39
Missing (%)72.2%
Infinite0
Infinite (%)0.0%
Mean2.1333333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:10.465925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.5
95-th percentile5.9
Maximum8
Range7
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation2.0655911
Coefficient of variation (CV)0.96824584
Kurtosis3.9653803
Mean2.1333333
Median Absolute Deviation (MAD)0
Skewness2.0393179
Sum32
Variance4.2666667
MonotonicityNot monotonic
2023-12-13T09:14:10.541964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 10
 
18.5%
8 1
 
1.9%
2 1
 
1.9%
4 1
 
1.9%
5 1
 
1.9%
3 1
 
1.9%
(Missing) 39
72.2%
ValueCountFrequency (%)
1 10
18.5%
2 1
 
1.9%
3 1
 
1.9%
4 1
 
1.9%
5 1
 
1.9%
8 1
 
1.9%
ValueCountFrequency (%)
8 1
 
1.9%
5 1
 
1.9%
4 1
 
1.9%
3 1
 
1.9%
2 1
 
1.9%
1 10
18.5%

양주시 신청
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)51.6%
Missing23
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean10.967742
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:10.623960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q312.5
95-th percentile41.5
Maximum85
Range84
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation17.554646
Coefficient of variation (CV)1.6005707
Kurtosis10.803137
Mean10.967742
Median Absolute Deviation (MAD)4
Skewness3.0923231
Sum340
Variance308.16559
MonotonicityNot monotonic
2023-12-13T09:14:10.704196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 7
 
13.0%
2 5
 
9.3%
6 3
 
5.6%
3 2
 
3.7%
13 2
 
3.7%
7 2
 
3.7%
5 1
 
1.9%
19 1
 
1.9%
21 1
 
1.9%
85 1
 
1.9%
Other values (6) 6
 
11.1%
(Missing) 23
42.6%
ValueCountFrequency (%)
1 7
13.0%
2 5
9.3%
3 2
 
3.7%
4 1
 
1.9%
5 1
 
1.9%
6 3
5.6%
7 2
 
3.7%
8 1
 
1.9%
12 1
 
1.9%
13 2
 
3.7%
ValueCountFrequency (%)
85 1
1.9%
51 1
1.9%
32 1
1.9%
22 1
1.9%
21 1
1.9%
19 1
1.9%
13 2
3.7%
12 1
1.9%
8 1
1.9%
7 2
3.7%

양주시 승인
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)50.0%
Missing32
Missing (%)59.3%
Infinite0
Infinite (%)0.0%
Mean7.8181818
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:10.793788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36.75
95-th percentile29.45
Maximum43
Range42
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation10.408954
Coefficient of variation (CV)1.3313778
Kurtosis6.2621287
Mean7.8181818
Median Absolute Deviation (MAD)2
Skewness2.4917193
Sum172
Variance108.34632
MonotonicityNot monotonic
2023-12-13T09:14:10.871762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 5
 
9.3%
6 4
 
7.4%
1 3
 
5.6%
4 2
 
3.7%
3 2
 
3.7%
43 1
 
1.9%
19 1
 
1.9%
10 1
 
1.9%
30 1
 
1.9%
12 1
 
1.9%
(Missing) 32
59.3%
ValueCountFrequency (%)
1 3
5.6%
2 5
9.3%
3 2
 
3.7%
4 2
 
3.7%
6 4
7.4%
7 1
 
1.9%
10 1
 
1.9%
12 1
 
1.9%
19 1
 
1.9%
30 1
 
1.9%
ValueCountFrequency (%)
43 1
 
1.9%
30 1
 
1.9%
19 1
 
1.9%
12 1
 
1.9%
10 1
 
1.9%
7 1
 
1.9%
6 4
7.4%
4 2
 
3.7%
3 2
 
3.7%
2 5
9.3%

연천군 신청
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)40.0%
Missing34
Missing (%)63.0%
Infinite0
Infinite (%)0.0%
Mean3.4
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:10.942914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile9.4
Maximum17
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.8716242
Coefficient of variation (CV)1.138713
Kurtosis7.9143591
Mean3.4
Median Absolute Deviation (MAD)1
Skewness2.6491606
Sum68
Variance14.989474
MonotonicityNot monotonic
2023-12-13T09:14:11.019137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 7
 
13.0%
2 6
 
11.1%
4 2
 
3.7%
17 1
 
1.9%
7 1
 
1.9%
9 1
 
1.9%
5 1
 
1.9%
3 1
 
1.9%
(Missing) 34
63.0%
ValueCountFrequency (%)
1 7
13.0%
2 6
11.1%
3 1
 
1.9%
4 2
 
3.7%
5 1
 
1.9%
7 1
 
1.9%
9 1
 
1.9%
17 1
 
1.9%
ValueCountFrequency (%)
17 1
 
1.9%
9 1
 
1.9%
7 1
 
1.9%
5 1
 
1.9%
4 2
 
3.7%
3 1
 
1.9%
2 6
11.1%
1 7
13.0%

연천군 승인
Categorical

IMBALANCE 

Distinct6
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
44 
1
6 
6
 
1
4
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.4444444
Min length1

Unique

Unique4 ?
Unique (%)7.4%

Sample

1st row6
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
81.5%
1 6
 
11.1%
6 1
 
1.9%
4 1
 
1.9%
5 1
 
1.9%
3 1
 
1.9%

Length

2023-12-13T09:14:11.117111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:14:11.209256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
81.5%
1 6
 
11.1%
6 1
 
1.9%
4 1
 
1.9%
5 1
 
1.9%
3 1
 
1.9%

의정부시 신청
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)37.5%
Missing22
Missing (%)40.7%
Infinite0
Infinite (%)0.0%
Mean6.375
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:11.305718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q36
95-th percentile20.2
Maximum51
Range50
Interquartile range (IQR)4

Descriptive statistics

Standard deviation9.879108
Coefficient of variation (CV)1.549664
Kurtosis14.120656
Mean6.375
Median Absolute Deviation (MAD)2
Skewness3.547698
Sum204
Variance97.596774
MonotonicityNot monotonic
2023-12-13T09:14:11.403307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 9
16.7%
1 6
 
11.1%
4 4
 
7.4%
6 3
 
5.6%
13 2
 
3.7%
3 2
 
3.7%
51 1
 
1.9%
5 1
 
1.9%
12 1
 
1.9%
29 1
 
1.9%
Other values (2) 2
 
3.7%
(Missing) 22
40.7%
ValueCountFrequency (%)
1 6
11.1%
2 9
16.7%
3 2
 
3.7%
4 4
7.4%
5 1
 
1.9%
6 3
 
5.6%
8 1
 
1.9%
9 1
 
1.9%
12 1
 
1.9%
13 2
 
3.7%
ValueCountFrequency (%)
51 1
 
1.9%
29 1
 
1.9%
13 2
3.7%
12 1
 
1.9%
9 1
 
1.9%
8 1
 
1.9%
6 3
5.6%
5 1
 
1.9%
4 4
7.4%
3 2
3.7%

의정부시 승인
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)40.0%
Missing29
Missing (%)53.7%
Infinite0
Infinite (%)0.0%
Mean4.32
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:11.491430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile14.6
Maximum27
Range26
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.8074665
Coefficient of variation (CV)1.3443209
Kurtosis9.9906786
Mean4.32
Median Absolute Deviation (MAD)1
Skewness3.0087687
Sum108
Variance33.726667
MonotonicityNot monotonic
2023-12-13T09:14:11.573267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 8
 
14.8%
2 6
 
11.1%
3 3
 
5.6%
5 2
 
3.7%
27 1
 
1.9%
9 1
 
1.9%
7 1
 
1.9%
16 1
 
1.9%
6 1
 
1.9%
4 1
 
1.9%
(Missing) 29
53.7%
ValueCountFrequency (%)
1 8
14.8%
2 6
11.1%
3 3
 
5.6%
4 1
 
1.9%
5 2
 
3.7%
6 1
 
1.9%
7 1
 
1.9%
9 1
 
1.9%
16 1
 
1.9%
27 1
 
1.9%
ValueCountFrequency (%)
27 1
 
1.9%
16 1
 
1.9%
9 1
 
1.9%
7 1
 
1.9%
6 1
 
1.9%
5 2
 
3.7%
4 1
 
1.9%
3 3
 
5.6%
2 6
11.1%
1 8
14.8%

파주시 신청
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)34.2%
Missing16
Missing (%)29.6%
Infinite0
Infinite (%)0.0%
Mean9.6842105
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:11.658890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median4
Q38
95-th percentile41.4
Maximum92
Range91
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation17.471375
Coefficient of variation (CV)1.8041093
Kurtosis14.137791
Mean9.6842105
Median Absolute Deviation (MAD)3
Skewness3.5794456
Sum368
Variance305.24893
MonotonicityNot monotonic
2023-12-13T09:14:11.736853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 10
18.5%
3 6
 
11.1%
8 4
 
7.4%
5 3
 
5.6%
7 3
 
5.6%
2 3
 
5.6%
15 2
 
3.7%
6 2
 
3.7%
92 1
 
1.9%
14 1
 
1.9%
Other values (3) 3
 
5.6%
(Missing) 16
29.6%
ValueCountFrequency (%)
1 10
18.5%
2 3
 
5.6%
3 6
11.1%
5 3
 
5.6%
6 2
 
3.7%
7 3
 
5.6%
8 4
 
7.4%
14 1
 
1.9%
15 2
 
3.7%
24 1
 
1.9%
ValueCountFrequency (%)
92 1
 
1.9%
55 1
 
1.9%
39 1
 
1.9%
24 1
 
1.9%
15 2
3.7%
14 1
 
1.9%
8 4
7.4%
7 3
5.6%
6 2
3.7%
5 3
5.6%

파주시 승인
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)33.3%
Missing21
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean6.5454545
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:11.816602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile28.8
Maximum54
Range53
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.250253
Coefficient of variation (CV)1.7187886
Kurtosis10.680847
Mean6.5454545
Median Absolute Deviation (MAD)2
Skewness3.1865016
Sum216
Variance126.56818
MonotonicityNot monotonic
2023-12-13T09:14:11.896051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 11
20.4%
2 5
 
9.3%
4 5
 
9.3%
6 3
 
5.6%
3 2
 
3.7%
5 2
 
3.7%
54 1
 
1.9%
10 1
 
1.9%
24 1
 
1.9%
36 1
 
1.9%
(Missing) 21
38.9%
ValueCountFrequency (%)
1 11
20.4%
2 5
9.3%
3 2
 
3.7%
4 5
9.3%
5 2
 
3.7%
6 3
 
5.6%
10 1
 
1.9%
17 1
 
1.9%
24 1
 
1.9%
36 1
 
1.9%
ValueCountFrequency (%)
54 1
 
1.9%
36 1
 
1.9%
24 1
 
1.9%
17 1
 
1.9%
10 1
 
1.9%
6 3
5.6%
5 2
 
3.7%
4 5
9.3%
3 2
 
3.7%
2 5
9.3%

포천시 신청
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)50.0%
Missing24
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:11.975929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5.5
Q313
95-th percentile36.2
Maximum90
Range89
Interquartile range (IQR)11

Descriptive statistics

Standard deviation18.07265
Coefficient of variation (CV)1.5060542
Kurtosis11.809637
Mean12
Median Absolute Deviation (MAD)4
Skewness3.1262575
Sum360
Variance326.62069
MonotonicityNot monotonic
2023-12-13T09:14:12.054717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2 5
 
9.3%
1 5
 
9.3%
3 4
 
7.4%
8 3
 
5.6%
15 2
 
3.7%
13 2
 
3.7%
90 1
 
1.9%
9 1
 
1.9%
38 1
 
1.9%
26 1
 
1.9%
Other values (5) 5
 
9.3%
(Missing) 24
44.4%
ValueCountFrequency (%)
1 5
9.3%
2 5
9.3%
3 4
7.4%
5 1
 
1.9%
6 1
 
1.9%
8 3
5.6%
9 1
 
1.9%
12 1
 
1.9%
13 2
 
3.7%
15 2
 
3.7%
ValueCountFrequency (%)
90 1
 
1.9%
38 1
 
1.9%
34 1
 
1.9%
33 1
 
1.9%
26 1
 
1.9%
15 2
3.7%
13 2
3.7%
12 1
 
1.9%
9 1
 
1.9%
8 3
5.6%

포천시 승인
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)53.8%
Missing28
Missing (%)51.9%
Infinite0
Infinite (%)0.0%
Mean8.6153846
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T09:14:12.128056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q39
95-th percentile23.5
Maximum56
Range55
Interquartile range (IQR)7

Descriptive statistics

Standard deviation11.764614
Coefficient of variation (CV)1.3655356
Kurtosis10.362526
Mean8.6153846
Median Absolute Deviation (MAD)3
Skewness2.9396383
Sum224
Variance138.40615
MonotonicityNot monotonic
2023-12-13T09:14:12.207020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 6
 
11.1%
1 4
 
7.4%
4 3
 
5.6%
8 2
 
3.7%
9 2
 
3.7%
56 1
 
1.9%
5 1
 
1.9%
11 1
 
1.9%
24 1
 
1.9%
14 1
 
1.9%
Other values (4) 4
 
7.4%
(Missing) 28
51.9%
ValueCountFrequency (%)
1 4
7.4%
2 6
11.1%
3 1
 
1.9%
4 3
5.6%
5 1
 
1.9%
6 1
 
1.9%
8 2
 
3.7%
9 2
 
3.7%
11 1
 
1.9%
14 1
 
1.9%
ValueCountFrequency (%)
56 1
1.9%
24 1
1.9%
22 1
1.9%
21 1
1.9%
14 1
1.9%
11 1
1.9%
9 2
3.7%
8 2
3.7%
6 1
1.9%
5 1
1.9%

Sample

질병별규모별가평군 신청가평군 승인고양시 신청고양시 승인구리시 신청구리시 승인남양주시 신청남양주시 승인동두천시 신청동두천시 승인양주시 신청양주시 승인연천군 신청연천군 승인의정부시 신청의정부시 승인파주시 신청파주시 승인포천시 신청포천시 승인
0전체질병전체규모16993623322107681388543176512792549056
1전체질병1000인 이상<NA><NA>181443201221862<NA>51141022
2전체질병500~1000인 미만21552143<NA><NA><NA><NA><NA><NA>4331<NA><NA>
3전체질병300~500인 미만<NA><NA>1<NA>11211<NA>1<NA><NA><NA>1<NA>11<NA><NA>
4전체질병100~300인 미만1<NA>53113211621<NA>6286<NA><NA>
5전체질병50~100인 미만<NA><NA>43427232421<NA>625295
6전체질병30~50인 미만213322851<NA>1242143741511
7전체질병5~30인 미만63281615941285432197412939243824
8전체질병5인 미만542918432215<NA><NA>2210411371562614
9근골격계전체규모8653421610634285513095291655363422
질병별규모별가평군 신청가평군 승인고양시 신청고양시 승인구리시 신청구리시 승인남양주시 신청남양주시 승인동두천시 신청동두천시 승인양주시 신청양주시 승인연천군 신청연천군 승인의정부시 신청의정부시 승인파주시 신청파주시 승인포천시 신청포천시 승인
44직업성암5인 미만<NA><NA><NA><NA><NA><NA>33<NA><NA><NA><NA><NA><NA><NA><NA>11<NA><NA>
45기타질병전체규모42147531410211363184843321
46기타질병1000인 이상<NA><NA>641153211<NA><NA><NA>3132<NA><NA>
47기타질병500~1000인 미만<NA><NA><NA><NA>1<NA>11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
48기타질병300~500인 미만<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49기타질병100~300인 미만<NA><NA>1<NA><NA><NA><NA><NA><NA><NA>1<NA>1<NA><NA><NA><NA><NA><NA><NA>
50기타질병50~100인 미만<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>21
51기타질병30~50인 미만1<NA><NA><NA><NA><NA>22<NA><NA>32<NA><NA><NA><NA><NA><NA>32
52기타질병5~30인 미만1<NA>213233<NA><NA>54113331139
53기타질병5인 미만2252<NA><NA>31<NA><NA>2<NA>1<NA>2<NA>21159