Overview

Dataset statistics

Number of variables24
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 MiB
Average record size in memory223.0 B

Variable types

DateTime1
Numeric17
Categorical6

Dataset

Description컬럼명 구분 통계년월, 시도보호기호, 시군구보호기호, 통계지사코드, 통계소속구분, 통계보호종별코드, 통계보호유형코드, 통계정액행위구분, 통계요양기관종별코드, 통계서식코드, 통계성별구분, 통계연령유형코드, 통계진료건수, 통계입내원일수, 통계진료일수, 통계초진횟수, 통계재진횟수, 통계총진료비, 통계기관부담금, 통계본인부담금, 통계장애인기금건수, 통계장애인기금, 통계대불건수, 통계대불금
URLhttps://www.data.go.kr/data/15121283/fileData.do

Alerts

통계년월 has constant value ""Constant
통계소속구분 is highly imbalanced (87.7%)Imbalance
통계정액행위구분 is highly imbalanced (55.1%)Imbalance
통계대불건수 is highly imbalanced (99.9%)Imbalance
통계대불금 is highly imbalanced (99.9%)Imbalance
통계입내원일수 has 442 (4.4%) zerosZeros
통계진료일수 has 429 (4.3%) zerosZeros
통계초진횟수 has 5104 (51.0%) zerosZeros
통계재진횟수 has 3877 (38.8%) zerosZeros
통계본인부담금 has 1973 (19.7%) zerosZeros
통계장애인기금건수 has 9134 (91.3%) zerosZeros
통계장애인기금 has 9134 (91.3%) zerosZeros

Reproduction

Analysis started2023-12-12 18:51:57.816268
Analysis finished2023-12-12 18:51:58.441545
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계년월
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-01 00:00:00
Maximum2023-01-01 00:00:00
2023-12-13T03:51:58.512100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:51:58.692904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

시도보호기호
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6240520.5
Minimum5691000
Maximum6410000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:51:58.879141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5691000
5-th percentile6110000
Q16110000
median6270000
Q36290000
95-th percentile6410000
Maximum6410000
Range719000
Interquartile range (IQR)180000

Descriptive statistics

Standard deviation112998.56
Coefficient of variation (CV)0.018107234
Kurtosis3.5487483
Mean6240520.5
Median Absolute Deviation (MAD)30000
Skewness-1.0598271
Sum6.2405205 × 1010
Variance1.2768675 × 1010
MonotonicityNot monotonic
2023-12-13T03:51:59.061494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6110000 2971
29.7%
6260000 1714
17.1%
6410000 1357
13.6%
6280000 1104
 
11.0%
6270000 933
 
9.3%
6290000 764
 
7.6%
6300000 607
 
6.1%
6310000 455
 
4.5%
5691000 95
 
0.9%
ValueCountFrequency (%)
5691000 95
 
0.9%
6110000 2971
29.7%
6260000 1714
17.1%
6270000 933
 
9.3%
6280000 1104
 
11.0%
6290000 764
 
7.6%
6300000 607
 
6.1%
6310000 455
 
4.5%
6410000 1357
13.6%
ValueCountFrequency (%)
6410000 1357
13.6%
6310000 455
 
4.5%
6300000 607
 
6.1%
6290000 764
 
7.6%
6280000 1104
 
11.0%
6270000 933
 
9.3%
6260000 1714
17.1%
6110000 2971
29.7%
5691000 95
 
0.9%

시군구보호기호
Real number (ℝ)

Distinct84
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453945.8
Minimum3000000
Maximum5690000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:51:59.303231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3050000
Q13210000
median3440000
Q33640000
95-th percentile3900000
Maximum5690000
Range2690000
Interquartile range (IQR)430000

Descriptive statistics

Standard deviation335571.8
Coefficient of variation (CV)0.097156069
Kurtosis16.391874
Mean3453945.8
Median Absolute Deviation (MAD)210000
Skewness2.7621401
Sum3.4539458 × 1010
Variance1.1260843 × 1011
MonotonicityNot monotonic
2023-12-13T03:51:59.598481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3740000 222
 
2.2%
3220000 212
 
2.1%
3780000 195
 
1.9%
3860000 193
 
1.9%
3620000 184
 
1.8%
3630000 168
 
1.7%
3100000 162
 
1.6%
3150000 158
 
1.6%
3820000 157
 
1.6%
3540000 150
 
1.5%
Other values (74) 8199
82.0%
ValueCountFrequency (%)
3000000 69
0.7%
3010000 88
0.9%
3020000 87
0.9%
3030000 95
0.9%
3040000 90
0.9%
3050000 119
1.2%
3060000 102
1.0%
3070000 115
1.1%
3080000 148
1.5%
3090000 105
1.1%
ValueCountFrequency (%)
5690000 95
0.9%
3930000 133
1.3%
3920000 90
0.9%
3910000 131
1.3%
3900000 119
1.2%
3860000 193
1.9%
3830000 117
1.2%
3820000 157
1.6%
3780000 195
1.9%
3740000 222
2.2%

통계지사코드
Real number (ℝ)

Distinct78
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.299
Minimum101
Maximum557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:51:59.873907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile106
Q1133
median222
Q3251
95-th percentile309
Maximum557
Range456
Interquartile range (IQR)118

Descriptive statistics

Standard deviation73.690814
Coefficient of variation (CV)0.34875136
Kurtosis2.9348746
Mean211.299
Median Absolute Deviation (MAD)32
Skewness0.7936961
Sum2112990
Variance5430.336
MonotonicityNot monotonic
2023-12-13T03:52:00.130698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
242 315
 
3.1%
202 272
 
2.7%
243 265
 
2.6%
232 240
 
2.4%
251 238
 
2.4%
235 232
 
2.3%
206 220
 
2.2%
211 213
 
2.1%
231 203
 
2.0%
222 185
 
1.8%
Other values (68) 7617
76.2%
ValueCountFrequency (%)
101 103
1.0%
103 90
0.9%
104 119
1.2%
105 115
1.1%
106 162
1.6%
107 101
1.0%
108 122
1.2%
109 114
1.1%
110 131
1.3%
111 83
0.8%
ValueCountFrequency (%)
557 95
0.9%
340 117
1.2%
331 49
 
0.5%
328 116
1.2%
327 104
1.0%
309 133
1.3%
308 90
0.9%
307 131
1.3%
306 119
1.2%
305 144
1.4%

통계소속구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9832 
1
 
168

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9832
98.3%
1 168
 
1.7%

Length

2023-12-13T03:52:00.338201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:00.477481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9832
98.3%
1 168
 
1.7%

통계보호종별코드
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
7673 
2
2300 
4
 
27

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 7673
76.7%
2 2300
 
23.0%
4 27
 
0.3%

Length

2023-12-13T03:52:00.648369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:00.830469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7673
76.7%
2 2300
 
23.0%
4 27
 
0.3%

통계보호유형코드
Real number (ℝ)

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.384
Minimum0
Maximum49
Zeros28
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:52:01.038630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q111
median12
Q318
95-th percentile21
Maximum49
Range49
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.9725061
Coefficient of variation (CV)0.34569703
Kurtosis11.20989
Mean14.384
Median Absolute Deviation (MAD)1
Skewness2.3857569
Sum143840
Variance24.725817
MonotonicityNot monotonic
2023-12-13T03:52:01.274898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
11 4083
40.8%
21 2253
22.5%
13 1331
 
13.3%
12 1198
 
12.0%
14 481
 
4.8%
16 335
 
3.4%
20 110
 
1.1%
18 80
 
0.8%
49 47
 
0.5%
39 29
 
0.3%
Other values (5) 53
 
0.5%
ValueCountFrequency (%)
0 28
 
0.3%
11 4083
40.8%
12 1198
 
12.0%
13 1331
 
13.3%
14 481
 
4.8%
15 1
 
< 0.1%
16 335
 
3.4%
17 2
 
< 0.1%
18 80
 
0.8%
20 110
 
1.1%
ValueCountFrequency (%)
49 47
 
0.5%
39 29
 
0.3%
33 18
 
0.2%
31 4
 
< 0.1%
21 2253
22.5%
20 110
 
1.1%
18 80
 
0.8%
17 2
 
< 0.1%
16 335
 
3.4%
15 1
 
< 0.1%

통계정액행위구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9063 
9
937 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9063
90.6%
9 937
 
9.4%

Length

2023-12-13T03:52:01.527673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:01.712660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9063
90.6%
9 937
 
9.4%

통계요양기관종별코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9777
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:52:01.867101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.8529312
Coefficient of variation (CV)0.71723137
Kurtosis-1.1213159
Mean3.9777
Median Absolute Deviation (MAD)2
Skewness0.6716636
Sum39777
Variance8.1392166
MonotonicityNot monotonic
2023-12-13T03:52:02.089427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 2304
23.0%
1 2083
20.8%
3 1810
18.1%
8 1572
15.7%
9 974
9.7%
5 872
 
8.7%
4 247
 
2.5%
7 138
 
1.4%
ValueCountFrequency (%)
1 2083
20.8%
2 2304
23.0%
3 1810
18.1%
4 247
 
2.5%
5 872
 
8.7%
7 138
 
1.4%
8 1572
15.7%
9 974
9.7%
ValueCountFrequency (%)
9 974
9.7%
8 1572
15.7%
7 138
 
1.4%
5 872
 
8.7%
4 247
 
2.5%
3 1810
18.1%
2 2304
23.0%
1 2083
20.8%

통계서식코드
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8689
Minimum2
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:52:02.308223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median3
Q313
95-th percentile21
Maximum21
Range19
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.787512
Coefficient of variation (CV)0.86257444
Kurtosis-0.55371682
Mean7.8689
Median Absolute Deviation (MAD)1
Skewness0.98925991
Sum78689
Variance46.07032
MonotonicityNot monotonic
2023-12-13T03:52:02.516415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 3725
37.2%
21 1560
15.6%
5 1323
 
13.2%
2 1284
 
12.8%
13 749
 
7.5%
12 393
 
3.9%
10 390
 
3.9%
15 353
 
3.5%
8 131
 
1.3%
9 63
 
0.6%
Other values (2) 29
 
0.3%
ValueCountFrequency (%)
2 1284
 
12.8%
3 3725
37.2%
4 17
 
0.2%
5 1323
 
13.2%
8 131
 
1.3%
9 63
 
0.6%
10 390
 
3.9%
12 393
 
3.9%
13 749
 
7.5%
15 353
 
3.5%
ValueCountFrequency (%)
21 1560
15.6%
20 12
 
0.1%
15 353
 
3.5%
13 749
7.5%
12 393
 
3.9%
10 390
 
3.9%
9 63
 
0.6%
8 131
 
1.3%
5 1323
13.2%
4 17
 
0.2%

통계성별구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
5170 
1
4830 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
2 5170
51.7%
1 4830
48.3%

Length

2023-12-13T03:52:02.704388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:02.864205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 5170
51.7%
1 4830
48.3%

통계연령유형코드
Real number (ℝ)

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.3585
Minimum2
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:52:03.021511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q18.75
median13
Q316
95-th percentile20
Maximum22
Range20
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation5.1185933
Coefficient of variation (CV)0.41417594
Kurtosis-0.88859405
Mean12.3585
Median Absolute Deviation (MAD)4
Skewness-0.26798601
Sum123585
Variance26.199998
MonotonicityNot monotonic
2023-12-13T03:52:03.222890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
14 826
 
8.3%
15 717
 
7.2%
13 682
 
6.8%
12 674
 
6.7%
17 668
 
6.7%
16 609
 
6.1%
18 604
 
6.0%
11 576
 
5.8%
19 529
 
5.3%
10 497
 
5.0%
Other values (11) 3618
36.2%
ValueCountFrequency (%)
2 219
 
2.2%
3 331
3.3%
4 372
3.7%
5 389
3.9%
6 426
4.3%
7 396
4.0%
8 367
3.7%
9 442
4.4%
10 497
5.0%
11 576
5.8%
ValueCountFrequency (%)
22 74
 
0.7%
21 209
 
2.1%
20 393
3.9%
19 529
5.3%
18 604
6.0%
17 668
6.7%
16 609
6.1%
15 717
7.2%
14 826
8.3%
13 682
6.8%

통계진료건수
Real number (ℝ)

Distinct529
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.4908
Minimum1
Maximum2338
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:52:03.431631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q324
95-th percentile195.05
Maximum2338
Range2337
Interquartile range (IQR)22

Descriptive statistics

Standard deviation146.79597
Coefficient of variation (CV)3.299468
Kurtosis70.964895
Mean44.4908
Median Absolute Deviation (MAD)5
Skewness7.4787889
Sum444908
Variance21549.057
MonotonicityNot monotonic
2023-12-13T03:52:03.635936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2082
20.8%
2 1070
 
10.7%
3 729
 
7.3%
4 544
 
5.4%
5 430
 
4.3%
6 317
 
3.2%
7 256
 
2.6%
8 235
 
2.4%
13 214
 
2.1%
9 183
 
1.8%
Other values (519) 3940
39.4%
ValueCountFrequency (%)
1 2082
20.8%
2 1070
10.7%
3 729
 
7.3%
4 544
 
5.4%
5 430
 
4.3%
6 317
 
3.2%
7 256
 
2.6%
8 235
 
2.4%
9 183
 
1.8%
10 167
 
1.7%
ValueCountFrequency (%)
2338 1
< 0.1%
2256 1
< 0.1%
2169 1
< 0.1%
2128 1
< 0.1%
1867 1
< 0.1%
1843 1
< 0.1%
1819 1
< 0.1%
1791 1
< 0.1%
1768 1
< 0.1%
1760 1
< 0.1%

통계입내원일수
Real number (ℝ)

ZEROS 

Distinct638
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.3307
Minimum0
Maximum2333
Zeros442
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:52:03.823864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median10
Q338
95-th percentile276
Maximum2333
Range2333
Interquartile range (IQR)36

Descriptive statistics

Standard deviation169.65297
Coefficient of variation (CV)2.8120504
Kurtosis49.394778
Mean60.3307
Median Absolute Deviation (MAD)9
Skewness6.1930803
Sum603307
Variance28782.13
MonotonicityNot monotonic
2023-12-13T03:52:04.019763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1375
 
13.8%
2 784
 
7.8%
3 584
 
5.8%
4 444
 
4.4%
0 442
 
4.4%
5 364
 
3.6%
31 286
 
2.9%
6 284
 
2.8%
7 249
 
2.5%
8 216
 
2.2%
Other values (628) 4972
49.7%
ValueCountFrequency (%)
0 442
 
4.4%
1 1375
13.8%
2 784
7.8%
3 584
5.8%
4 444
 
4.4%
5 364
 
3.6%
6 284
 
2.8%
7 249
 
2.5%
8 216
 
2.2%
9 174
 
1.7%
ValueCountFrequency (%)
2333 1
< 0.1%
2306 1
< 0.1%
2256 1
< 0.1%
2232 1
< 0.1%
2169 1
< 0.1%
2091 1
< 0.1%
1866 1
< 0.1%
1825 1
< 0.1%
1819 1
< 0.1%
1791 1
< 0.1%

통계진료일수
Real number (ℝ)

ZEROS 

Distinct1285
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean413.3044
Minimum0
Maximum61981
Zeros429
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:52:04.236131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median28
Q3120
95-th percentile1101.1
Maximum61981
Range61981
Interquartile range (IQR)117

Descriptive statistics

Standard deviation2479.3604
Coefficient of variation (CV)5.9988725
Kurtosis193.15855
Mean413.3044
Median Absolute Deviation (MAD)27
Skewness12.559466
Sum4133044
Variance6147228.1
MonotonicityNot monotonic
2023-12-13T03:52:04.456012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1047
 
10.5%
2 574
 
5.7%
3 456
 
4.6%
0 429
 
4.3%
4 301
 
3.0%
31 296
 
3.0%
5 289
 
2.9%
6 209
 
2.1%
7 198
 
2.0%
8 158
 
1.6%
Other values (1275) 6043
60.4%
ValueCountFrequency (%)
0 429
4.3%
1 1047
10.5%
2 574
5.7%
3 456
4.6%
4 301
 
3.0%
5 289
 
2.9%
6 209
 
2.1%
7 198
 
2.0%
8 158
 
1.6%
9 117
 
1.2%
ValueCountFrequency (%)
61981 1
< 0.1%
57433 1
< 0.1%
48095 1
< 0.1%
42531 1
< 0.1%
42286 1
< 0.1%
41298 1
< 0.1%
41281 1
< 0.1%
41116 1
< 0.1%
40584 1
< 0.1%
39936 1
< 0.1%

통계초진횟수
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7095
Minimum0
Maximum334
Zeros5104
Zeros (%)51.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:52:04.691252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile22
Maximum334
Range334
Interquartile range (IQR)2

Descriptive statistics

Standard deviation16.856059
Coefficient of variation (CV)3.579161
Kurtosis91.675759
Mean4.7095
Median Absolute Deviation (MAD)0
Skewness8.1924561
Sum47095
Variance284.12672
MonotonicityNot monotonic
2023-12-13T03:52:04.976224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5104
51.0%
1 1807
 
18.1%
2 728
 
7.3%
3 417
 
4.2%
4 254
 
2.5%
5 224
 
2.2%
6 177
 
1.8%
7 112
 
1.1%
8 97
 
1.0%
10 85
 
0.9%
Other values (139) 995
 
10.0%
ValueCountFrequency (%)
0 5104
51.0%
1 1807
 
18.1%
2 728
 
7.3%
3 417
 
4.2%
4 254
 
2.5%
5 224
 
2.2%
6 177
 
1.8%
7 112
 
1.1%
8 97
 
1.0%
9 78
 
0.8%
ValueCountFrequency (%)
334 1
< 0.1%
329 1
< 0.1%
259 1
< 0.1%
239 1
< 0.1%
236 1
< 0.1%
233 1
< 0.1%
232 1
< 0.1%
228 1
< 0.1%
225 1
< 0.1%
217 1
< 0.1%

통계재진횟수
Real number (ℝ)

ZEROS 

Distinct378
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.4525
Minimum0
Maximum2002
Zeros3877
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:52:05.743953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310
95-th percentile100
Maximum2002
Range2002
Interquartile range (IQR)10

Descriptive statistics

Standard deviation91.422589
Coefficient of variation (CV)4.0718222
Kurtosis126.49779
Mean22.4525
Median Absolute Deviation (MAD)1
Skewness9.7780297
Sum224525
Variance8358.0898
MonotonicityNot monotonic
2023-12-13T03:52:06.011348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3877
38.8%
1 1278
 
12.8%
2 676
 
6.8%
3 479
 
4.8%
4 334
 
3.3%
5 234
 
2.3%
6 200
 
2.0%
13 163
 
1.6%
7 152
 
1.5%
9 133
 
1.3%
Other values (368) 2474
24.7%
ValueCountFrequency (%)
0 3877
38.8%
1 1278
 
12.8%
2 676
 
6.8%
3 479
 
4.8%
4 334
 
3.3%
5 234
 
2.3%
6 200
 
2.0%
7 152
 
1.5%
8 132
 
1.3%
9 133
 
1.3%
ValueCountFrequency (%)
2002 1
< 0.1%
1736 1
< 0.1%
1565 1
< 0.1%
1538 1
< 0.1%
1453 1
< 0.1%
1436 1
< 0.1%
1399 1
< 0.1%
1363 2
< 0.1%
1305 1
< 0.1%
1268 1
< 0.1%

통계총진료비
Real number (ℝ)

Distinct9256
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5406186.7
Minimum0
Maximum3.0672592 × 108
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:52:06.259550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17619.5
Q1127177.5
median671175
Q32963377.5
95-th percentile26798080
Maximum3.0672592 × 108
Range3.0672592 × 108
Interquartile range (IQR)2836200

Descriptive statistics

Standard deviation16290905
Coefficient of variation (CV)3.0133819
Kurtosis61.950069
Mean5406186.7
Median Absolute Deviation (MAD)634520
Skewness6.6726224
Sum5.4061867 × 1010
Variance2.6539359 × 1014
MonotonicityNot monotonic
2023-12-13T03:52:06.489977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5610 51
 
0.5%
13710 30
 
0.3%
11870 21
 
0.2%
15110 19
 
0.2%
12130 19
 
0.2%
28150 16
 
0.2%
18210 15
 
0.1%
16970 13
 
0.1%
15550 11
 
0.1%
16370 11
 
0.1%
Other values (9246) 9794
97.9%
ValueCountFrequency (%)
0 10
0.1%
860 1
 
< 0.1%
2440 1
 
< 0.1%
3050 1
 
< 0.1%
3290 2
 
< 0.1%
4180 8
0.1%
4270 1
 
< 0.1%
4290 1
 
< 0.1%
4300 1
 
< 0.1%
4320 1
 
< 0.1%
ValueCountFrequency (%)
306725920 1
< 0.1%
249736950 1
< 0.1%
228449580 1
< 0.1%
227071190 1
< 0.1%
209503160 1
< 0.1%
200991840 1
< 0.1%
196627390 1
< 0.1%
195301720 1
< 0.1%
193696340 1
< 0.1%
191914380 1
< 0.1%

통계기관부담금
Real number (ℝ)

Distinct9330
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5297188.7
Minimum0
Maximum3.0487564 × 108
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:52:06.721442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16538
Q1122325
median647110
Q32871470
95-th percentile26240790
Maximum3.0487564 × 108
Range3.0487564 × 108
Interquartile range (IQR)2749145

Descriptive statistics

Standard deviation16070264
Coefficient of variation (CV)3.0337345
Kurtosis62.903336
Mean5297188.7
Median Absolute Deviation (MAD)611655
Skewness6.7182874
Sum5.2971887 × 1010
Variance2.5825339 × 1014
MonotonicityNot monotonic
2023-12-13T03:52:06.956185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5610 51
 
0.5%
12210 17
 
0.2%
14110 16
 
0.2%
27150 13
 
0.1%
10370 12
 
0.1%
11130 11
 
0.1%
11220 10
 
0.1%
0 10
 
0.1%
15970 10
 
0.1%
16710 9
 
0.1%
Other values (9320) 9841
98.4%
ValueCountFrequency (%)
0 10
0.1%
780 1
 
< 0.1%
2290 2
 
< 0.1%
2440 1
 
< 0.1%
3050 1
 
< 0.1%
3180 7
0.1%
3270 1
 
< 0.1%
3290 1
 
< 0.1%
3300 1
 
< 0.1%
3420 1
 
< 0.1%
ValueCountFrequency (%)
304875640 1
< 0.1%
248444000 1
< 0.1%
227834610 1
< 0.1%
225747690 1
< 0.1%
203718070 1
< 0.1%
199676030 1
< 0.1%
194192590 1
< 0.1%
191873110 1
< 0.1%
191736250 1
< 0.1%
189486760 1
< 0.1%

통계본인부담금
Real number (ℝ)

ZEROS 

Distinct3561
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103402.81
Minimum0
Maximum5814960
Zeros1973
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:52:07.199101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11000
median8745
Q368072.5
95-th percentile492470.5
Maximum5814960
Range5814960
Interquartile range (IQR)67072.5

Descriptive statistics

Standard deviation314148.48
Coefficient of variation (CV)3.038104
Kurtosis74.117225
Mean103402.81
Median Absolute Deviation (MAD)8745
Skewness7.154227
Sum1.0340281 × 109
Variance9.8689269 × 1010
MonotonicityNot monotonic
2023-12-13T03:52:07.434578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1973
 
19.7%
1000 404
 
4.0%
2000 370
 
3.7%
1500 349
 
3.5%
3000 268
 
2.7%
4000 159
 
1.6%
500 139
 
1.4%
6000 137
 
1.4%
76810 133
 
1.3%
5000 116
 
1.2%
Other values (3551) 5952
59.5%
ValueCountFrequency (%)
0 1973
19.7%
80 1
 
< 0.1%
250 5
 
0.1%
410 1
 
< 0.1%
500 139
 
1.4%
610 2
 
< 0.1%
680 1
 
< 0.1%
750 4
 
< 0.1%
780 2
 
< 0.1%
820 12
 
0.1%
ValueCountFrequency (%)
5814960 1
< 0.1%
5785090 1
< 0.1%
5236080 1
< 0.1%
4789060 1
< 0.1%
4775120 1
< 0.1%
4098310 1
< 0.1%
4041220 1
< 0.1%
3923930 1
< 0.1%
3818940 1
< 0.1%
3694130 1
< 0.1%

통계장애인기금건수
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5766
Minimum0
Maximum111
Zeros9134
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:52:07.642213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum111
Range111
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.8479102
Coefficient of variation (CV)6.6734482
Kurtosis234.68504
Mean0.5766
Median Absolute Deviation (MAD)0
Skewness13.209422
Sum5766
Variance14.806413
MonotonicityNot monotonic
2023-12-13T03:52:07.845179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9134
91.3%
1 294
 
2.9%
2 150
 
1.5%
3 77
 
0.8%
4 48
 
0.5%
6 40
 
0.4%
5 35
 
0.4%
7 25
 
0.2%
8 25
 
0.2%
11 19
 
0.2%
Other values (45) 153
 
1.5%
ValueCountFrequency (%)
0 9134
91.3%
1 294
 
2.9%
2 150
 
1.5%
3 77
 
0.8%
4 48
 
0.5%
5 35
 
0.4%
6 40
 
0.4%
7 25
 
0.2%
8 25
 
0.2%
9 14
 
0.1%
ValueCountFrequency (%)
111 1
< 0.1%
95 1
< 0.1%
89 1
< 0.1%
76 1
< 0.1%
67 2
< 0.1%
66 1
< 0.1%
63 1
< 0.1%
61 1
< 0.1%
57 1
< 0.1%
56 1
< 0.1%

통계장애인기금
Real number (ℝ)

ZEROS 

Distinct478
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5352.123
Minimum0
Maximum1540840
Zeros9134
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:52:08.092289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6000
Maximum1540840
Range1540840
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48190.054
Coefficient of variation (CV)9.0039138
Kurtosis365.37486
Mean5352.123
Median Absolute Deviation (MAD)0
Skewness16.836879
Sum53521230
Variance2.3222813 × 109
MonotonicityNot monotonic
2023-12-13T03:52:08.390310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9134
91.3%
750 86
 
0.9%
1500 57
 
0.6%
2250 37
 
0.4%
3000 29
 
0.3%
4500 23
 
0.2%
3750 16
 
0.2%
6000 14
 
0.1%
8250 14
 
0.1%
5250 12
 
0.1%
Other values (468) 578
 
5.8%
ValueCountFrequency (%)
0 9134
91.3%
680 1
 
< 0.1%
750 86
 
0.9%
880 1
 
< 0.1%
1130 1
 
< 0.1%
1300 1
 
< 0.1%
1500 57
 
0.6%
1670 2
 
< 0.1%
1770 1
 
< 0.1%
1780 2
 
< 0.1%
ValueCountFrequency (%)
1540840 1
< 0.1%
1353100 1
< 0.1%
1212730 1
< 0.1%
1212180 1
< 0.1%
1122570 1
< 0.1%
1005570 1
< 0.1%
870810 1
< 0.1%
819950 1
< 0.1%
795050 1
< 0.1%
759710 1
< 0.1%

통계대불건수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9999 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9999
> 99.9%
1 1
 
< 0.1%

Length

2023-12-13T03:52:08.622773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:08.817861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9999
> 99.9%
1 1
 
< 0.1%

통계대불금
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9999 
36130
 
1

Length

Max length5
Median length1
Mean length1.0004
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9999
> 99.9%
36130 1
 
< 0.1%

Length

2023-12-13T03:52:09.003619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:09.192127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9999
> 99.9%
36130 1
 
< 0.1%

Sample

통계년월시도보호기호시군구보호기호통계지사코드통계소속구분통계보호종별코드통계보호유형코드통계정액행위구분통계요양기관종별코드통계서식코드통계성별구분통계연령유형코드통계진료건수통계입내원일수통계진료일수통계초진횟수통계재진횟수통계총진료비통계기관부담금통계본인부담금통계장애인기금건수통계장애인기금통계대불건수통계대불금
852742023-016410000378000030201130331103333047187046887030000000
145762023-0161100003120000107022109131477716367360306240611200000
116952023-016110000310000010601130913217282839424961800928300335000000
229202023-01611000032000001100111022213102012115640079890394733506065400000
592812023-0162800003530000236011108211412512560300213050021300005000000
622792023-0162800003550000233011193101132414800221101021102501007600000
852442023-01641000037800003020113013117131344349937150912150137000000
207432023-0161100003180000101011103311120919647123172631791062009101170000000
283922023-016110000323000011202210552711111174573300554150191500000
616372023-0162800003540000237022102311022202247102101037000000
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