Overview

Dataset statistics

Number of variables23
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory208.7 B

Variable types

Text1
Categorical9
Numeric13

Dataset

Description사립학교교직원연금공단 월별 특수요양비지급현황(금액) 관련된 날짜, 구분, 진료비, 식대, MRI, 초음파검사비, 보조기, 보철구 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15112966/fileData.do

Alerts

구분 has constant value ""Constant
화상치료제 has constant value ""Constant
화상반흔제거수술 has constant value ""Constant
성형수술 has constant value ""Constant
한방및물리치료비 has constant value ""Constant
보철구수당 has constant value ""Constant
진료비 is highly imbalanced (81.7%)Imbalance
식대 is highly imbalanced (72.7%)Imbalance
선택진료비 is highly imbalanced (77.0%)Imbalance
날짜 has unique valuesUnique
자기공명영상장치(MRI) has unique valuesUnique
초음파검사료 has unique valuesUnique
보조기 has unique valuesUnique
진단서대 has unique valuesUnique
약제비 has unique valuesUnique
간호비 has unique valuesUnique
처치및수술비 has unique valuesUnique
합계 has unique valuesUnique
보철구 has 13 (36.1%) zerosZeros
이송비 has 7 (19.4%) zerosZeros
상급병실료 has 19 (52.8%) zerosZeros
기타 has 21 (58.3%) zerosZeros

Reproduction

Analysis started2023-12-12 23:14:08.267860
Analysis finished2023-12-12 23:14:08.460433
Duration0.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T08:14:08.555100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.25
Min length8

Characters and Unicode

Total characters297
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row2020년 1월
2nd row2020년 2월
3rd row2020년 3월
4th row2020년 4월
5th row2020년 5월
ValueCountFrequency (%)
2020년 12
16.7%
2021년 12
16.7%
2022년 12
16.7%
1월 3
 
4.2%
2월 3
 
4.2%
9월 3
 
4.2%
3월 3
 
4.2%
4월 3
 
4.2%
5월 3
 
4.2%
6월 3
 
4.2%
Other values (5) 15
20.8%
2023-12-13T08:14:08.896754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 90
30.3%
0 51
17.2%
년 36
 
12.1%
36
 
12.1%
월 36
 
12.1%
1 27
 
9.1%
9 3
 
1.0%
3 3
 
1.0%
4 3
 
1.0%
5 3
 
1.0%
Other values (3) 9
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 189
63.6%
Other Letter 72
 
24.2%
Space Separator 36
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 90
47.6%
0 51
27.0%
1 27
 
14.3%
9 3
 
1.6%
3 3
 
1.6%
4 3
 
1.6%
5 3
 
1.6%
6 3
 
1.6%
7 3
 
1.6%
8 3
 
1.6%
Other Letter
ValueCountFrequency (%)
년 36
50.0%
월 36
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 225
75.8%
Hangul 72
 
24.2%

Most frequent character per script

Common
ValueCountFrequency (%)
2 90
40.0%
0 51
22.7%
36
 
16.0%
1 27
 
12.0%
9 3
 
1.3%
3 3
 
1.3%
4 3
 
1.3%
5 3
 
1.3%
6 3
 
1.3%
7 3
 
1.3%
Hangul
ValueCountFrequency (%)
년 36
50.0%
월 36
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 225
75.8%
Hangul 72
 
24.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 90
40.0%
0 51
22.7%
36
 
16.0%
1 27
 
12.0%
9 3
 
1.3%
3 3
 
1.3%
4 3
 
1.3%
5 3
 
1.3%
6 3
 
1.3%
7 3
 
1.3%
Hangul
ValueCountFrequency (%)
년 36
50.0%
월 36
50.0%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
금액
36 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금액 36
100.0%

Length

2023-12-13T08:14:09.033562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:14:09.131581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금액 36
100.0%

진료비
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
35 
71990
 
1

Length

Max length5
Median length1
Mean length1.1111111
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
97.2%
71990 1
 
2.8%

Length

2023-12-13T08:14:09.254986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:14:09.407328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
71990 1
 
2.8%

식대
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
33 
419810
 
1
35700
 
1
103020
 
1

Length

Max length6
Median length1
Mean length1.3888889
Min length1

Unique

Unique3 ?
Unique (%)8.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row419810

Common Values

ValueCountFrequency (%)
0 33
91.7%
419810 1
 
2.8%
35700 1
 
2.8%
103020 1
 
2.8%

Length

2023-12-13T08:14:09.525938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:14:09.632036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
91.7%
419810 1
 
2.8%
35700 1
 
2.8%
103020 1
 
2.8%

자기공명영상장치(MRI)
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5271802.2
Minimum1515640
Maximum9335580
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:14:09.742205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1515640
5-th percentile2768895
Q13952417.5
median5238880
Q36531250
95-th percentile8355917.5
Maximum9335580
Range7819940
Interquartile range (IQR)2578832.5

Descriptive statistics

Standard deviation1885479.3
Coefficient of variation (CV)0.35765366
Kurtosis-0.38470176
Mean5271802.2
Median Absolute Deviation (MAD)1309960
Skewness0.26102222
Sum1.8978488 × 108
Variance3.5550323 × 1012
MonotonicityNot monotonic
2023-12-13T08:14:09.885051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4038980 1
 
2.8%
2801860 1
 
2.8%
4200500 1
 
2.8%
5856350 1
 
2.8%
5010000 1
 
2.8%
6400350 1
 
2.8%
2670000 1
 
2.8%
5769140 1
 
2.8%
5139500 1
 
2.8%
3823350 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1515640 1
2.8%
2670000 1
2.8%
2801860 1
2.8%
2873800 1
2.8%
3111410 1
2.8%
3231720 1
2.8%
3261230 1
2.8%
3463900 1
2.8%
3823350 1
2.8%
3995440 1
2.8%
ValueCountFrequency (%)
9335580 1
2.8%
9261100 1
2.8%
8054190 1
2.8%
7842260 1
2.8%
7405270 1
2.8%
7179340 1
2.8%
6980000 1
2.8%
6605840 1
2.8%
6584020 1
2.8%
6513660 1
2.8%

초음파검사료
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1669115.6
Minimum423000
Maximum3902000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:14:10.022568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum423000
5-th percentile789125
Q11136612.5
median1491200
Q32045620
95-th percentile3035510
Maximum3902000
Range3479000
Interquartile range (IQR)909007.5

Descriptive statistics

Standard deviation783973.72
Coefficient of variation (CV)0.46969409
Kurtosis1.1527836
Mean1669115.6
Median Absolute Deviation (MAD)492380
Skewness1.0251238
Sum60088160
Variance6.1461479 × 1011
MonotonicityNot monotonic
2023-12-13T08:14:10.171728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
2420160 1
 
2.8%
1778500 1
 
2.8%
1552920 1
 
2.8%
1643560 1
 
2.8%
2152000 1
 
2.8%
2848500 1
 
2.8%
1475700 1
 
2.8%
1399700 1
 
2.8%
1353400 1
 
2.8%
1112350 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
423000 1
2.8%
651500 1
2.8%
835000 1
2.8%
844500 1
2.8%
846800 1
2.8%
858000 1
2.8%
931000 1
2.8%
952500 1
2.8%
1112350 1
2.8%
1144700 1
2.8%
ValueCountFrequency (%)
3902000 1
2.8%
3596540 1
2.8%
2848500 1
2.8%
2781900 1
2.8%
2459870 1
2.8%
2420160 1
2.8%
2277000 1
2.8%
2268600 1
2.8%
2152000 1
2.8%
2010160 1
2.8%

보조기
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1176584.4
Minimum135000
Maximum3076570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:14:10.335979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135000
5-th percentile207587.5
Q1624490
median1081850
Q31639317.5
95-th percentile2631185
Maximum3076570
Range2941570
Interquartile range (IQR)1014827.5

Descriptive statistics

Standard deviation729333.16
Coefficient of variation (CV)0.6198732
Kurtosis0.230875
Mean1176584.4
Median Absolute Deviation (MAD)512350
Skewness0.76120263
Sum42357040
Variance5.3192686 × 1011
MonotonicityNot monotonic
2023-12-13T08:14:10.454627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1555000 1
 
2.8%
565000 1
 
2.8%
730000 1
 
2.8%
871140 1
 
2.8%
1120000 1
 
2.8%
1140000 1
 
2.8%
199000 1
 
2.8%
1043700 1
 
2.8%
1673000 1
 
2.8%
960000 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
135000 1
2.8%
199000 1
2.8%
210450 1
2.8%
250000 1
2.8%
323500 1
2.8%
475000 1
2.8%
528810 1
2.8%
565000 1
2.8%
574000 1
2.8%
641320 1
2.8%
ValueCountFrequency (%)
3076570 1
2.8%
2644040 1
2.8%
2626900 1
2.8%
2163500 1
2.8%
2069930 1
2.8%
1774000 1
2.8%
1769000 1
2.8%
1695000 1
2.8%
1673000 1
2.8%
1628090 1
2.8%

보철구
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean950224.44
Minimum0
Maximum3204760
Zeros13
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:14:10.563934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median532390
Q31913095
95-th percentile3061437.5
Maximum3204760
Range3204760
Interquartile range (IQR)1913095

Descriptive statistics

Standard deviation1094718.5
Coefficient of variation (CV)1.1520631
Kurtosis-0.72188459
Mean950224.44
Median Absolute Deviation (MAD)532390
Skewness0.84176446
Sum34208080
Variance1.1984087 × 1012
MonotonicityNot monotonic
2023-12-13T08:14:10.674599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 13
36.1%
100000 2
 
5.6%
1440600 1
 
2.8%
3204760 1
 
2.8%
2655240 1
 
2.8%
1952380 1
 
2.8%
2221720 1
 
2.8%
525000 1
 
2.8%
1200000 1
 
2.8%
3202910 1
 
2.8%
Other values (13) 13
36.1%
ValueCountFrequency (%)
0 13
36.1%
100000 2
 
5.6%
200000 1
 
2.8%
502380 1
 
2.8%
525000 1
 
2.8%
539780 1
 
2.8%
585050 1
 
2.8%
602380 1
 
2.8%
800000 1
 
2.8%
1027380 1
 
2.8%
ValueCountFrequency (%)
3204760 1
2.8%
3202910 1
2.8%
3014280 1
2.8%
2655240 1
2.8%
2577400 1
2.8%
2447650 1
2.8%
2221720 1
2.8%
2009520 1
2.8%
1952380 1
2.8%
1900000 1
2.8%

진단서대
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean954759.44
Minimum410100
Maximum1453730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:14:10.809042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum410100
5-th percentile521530
Q1802710
median943525
Q31121520
95-th percentile1337300
Maximum1453730
Range1043630
Interquartile range (IQR)318810

Descriptive statistics

Standard deviation259713.28
Coefficient of variation (CV)0.2720196
Kurtosis-0.53418117
Mean954759.44
Median Absolute Deviation (MAD)161475
Skewness-0.096718242
Sum34371340
Variance6.7450989 × 1010
MonotonicityNot monotonic
2023-12-13T08:14:10.933908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1453730 1
 
2.8%
667500 1
 
2.8%
1051670 1
 
2.8%
746050 1
 
2.8%
1118560 1
 
2.8%
1221200 1
 
2.8%
577000 1
 
2.8%
1052400 1
 
2.8%
792500 1
 
2.8%
410100 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
410100 1
2.8%
505300 1
2.8%
526940 1
2.8%
577000 1
2.8%
634750 1
2.8%
667500 1
2.8%
746050 1
2.8%
792500 1
2.8%
797700 1
2.8%
804380 1
2.8%
ValueCountFrequency (%)
1453730 1
2.8%
1397000 1
2.8%
1317400 1
2.8%
1294350 1
2.8%
1279200 1
2.8%
1240200 1
2.8%
1236170 1
2.8%
1221200 1
2.8%
1130400 1
2.8%
1118560 1
2.8%

약제비
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean618718.61
Minimum54460
Maximum2388370
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:14:11.067010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54460
5-th percentile67832.5
Q1208095
median402800
Q3863992.5
95-th percentile1645687.5
Maximum2388370
Range2333910
Interquartile range (IQR)655897.5

Descriptive statistics

Standard deviation571194.06
Coefficient of variation (CV)0.92318874
Kurtosis1.3945966
Mean618718.61
Median Absolute Deviation (MAD)257770
Skewness1.3684386
Sum22273870
Variance3.2626265 × 1011
MonotonicityNot monotonic
2023-12-13T08:14:11.206289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1312230 1
 
2.8%
601180 1
 
2.8%
285040 1
 
2.8%
388270 1
 
2.8%
184920 1
 
2.8%
668400 1
 
2.8%
182300 1
 
2.8%
136000 1
 
2.8%
288330 1
 
2.8%
762440 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
54460 1
2.8%
65620 1
2.8%
68570 1
2.8%
69610 1
2.8%
121560 1
2.8%
136000 1
2.8%
152860 1
2.8%
182300 1
2.8%
184920 1
2.8%
215820 1
2.8%
ValueCountFrequency (%)
2388370 1
2.8%
1782660 1
2.8%
1600030 1
2.8%
1430030 1
2.8%
1426480 1
2.8%
1312230 1
2.8%
1292980 1
2.8%
1124460 1
2.8%
871500 1
2.8%
861490 1
2.8%

간호비
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21004099
Minimum8414460
Maximum51026400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:14:11.323990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8414460
5-th percentile11806955
Q114544308
median17869115
Q326297445
95-th percentile36785965
Maximum51026400
Range42611940
Interquartile range (IQR)11753138

Descriptive statistics

Standard deviation9485789.3
Coefficient of variation (CV)0.45161609
Kurtosis2.9234022
Mean21004099
Median Absolute Deviation (MAD)4597950
Skewness1.5921174
Sum7.5614758 × 108
Variance8.9980198 × 1013
MonotonicityNot monotonic
2023-12-13T08:14:11.434756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
26430780 1
 
2.8%
19750350 1
 
2.8%
14748000 1
 
2.8%
20103520 1
 
2.8%
12062400 1
 
2.8%
31383040 1
 
2.8%
18608540 1
 
2.8%
17599240 1
 
2.8%
22363900 1
 
2.8%
8414460 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
8414460 1
2.8%
11040620 1
2.8%
12062400 1
2.8%
13011860 1
2.8%
13133050 1
2.8%
13777780 1
2.8%
13801750 1
2.8%
13904260 1
2.8%
14066250 1
2.8%
14703660 1
2.8%
ValueCountFrequency (%)
51026400 1
2.8%
48211660 1
2.8%
32977400 1
2.8%
31383040 1
2.8%
30738930 1
2.8%
30041180 1
2.8%
27031000 1
2.8%
26509430 1
2.8%
26430780 1
2.8%
26253000 1
2.8%

이송비
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean361112.78
Minimum0
Maximum1878310
Zeros7
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:14:11.529753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q193525
median194320
Q3527190
95-th percentile1099812.5
Maximum1878310
Range1878310
Interquartile range (IQR)433665

Descriptive statistics

Standard deviation441610.84
Coefficient of variation (CV)1.2229167
Kurtosis5.1932234
Mean361112.78
Median Absolute Deviation (MAD)188750
Skewness2.1587141
Sum13000060
Variance1.9502013 × 1011
MonotonicityNot monotonic
2023-12-13T08:14:11.649040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 7
19.4%
150000 3
 
8.3%
75000 2
 
5.6%
377500 1
 
2.8%
297300 1
 
2.8%
196800 1
 
2.8%
717200 1
 
2.8%
99700 1
 
2.8%
557400 1
 
2.8%
591600 1
 
2.8%
Other values (17) 17
47.2%
ValueCountFrequency (%)
0 7
19.4%
75000 2
 
5.6%
99700 1
 
2.8%
105000 1
 
2.8%
115300 1
 
2.8%
125700 1
 
2.8%
137000 1
 
2.8%
150000 3
8.3%
191840 1
 
2.8%
196800 1
 
2.8%
ValueCountFrequency (%)
1878310 1
2.8%
1764110 1
2.8%
878380 1
2.8%
807200 1
2.8%
754600 1
2.8%
717200 1
2.8%
656900 1
2.8%
591600 1
2.8%
557400 1
2.8%
517120 1
2.8%

선택진료비
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
34 
144630
 
1
11400
 
1

Length

Max length6
Median length1
Mean length1.25
Min length1

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row144630
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 34
94.4%
144630 1
 
2.8%
11400 1
 
2.8%

Length

2023-12-13T08:14:11.778018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:14:11.871512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
94.4%
144630 1
 
2.8%
11400 1
 
2.8%

상급병실료
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean607421.11
Minimum0
Maximum4306000
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:14:11.955144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3928400
95-th percentile2326390
Maximum4306000
Range4306000
Interquartile range (IQR)928400

Descriptive statistics

Standard deviation981873.65
Coefficient of variation (CV)1.6164628
Kurtosis4.7508103
Mean607421.11
Median Absolute Deviation (MAD)0
Skewness2.0624112
Sum21867160
Variance9.6407586 × 1011
MonotonicityNot monotonic
2023-12-13T08:14:12.046103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 19
52.8%
2274520 1
 
2.8%
450000 1
 
2.8%
1071980 1
 
2.8%
847500 1
 
2.8%
953600 1
 
2.8%
1200000 1
 
2.8%
1645000 1
 
2.8%
1819000 1
 
2.8%
400000 1
 
2.8%
Other values (8) 8
22.2%
ValueCountFrequency (%)
0 19
52.8%
3000 1
 
2.8%
140000 1
 
2.8%
274560 1
 
2.8%
400000 1
 
2.8%
450000 1
 
2.8%
847500 1
 
2.8%
880000 1
 
2.8%
920000 1
 
2.8%
953600 1
 
2.8%
ValueCountFrequency (%)
4306000 1
2.8%
2482000 1
2.8%
2274520 1
2.8%
2200000 1
2.8%
1819000 1
2.8%
1645000 1
2.8%
1200000 1
2.8%
1071980 1
2.8%
953600 1
2.8%
920000 1
2.8%

화상치료제
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-13T08:14:12.142851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:14:12.225901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

화상반흔제거수술
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-13T08:14:12.312251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:14:12.386602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

성형수술
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-13T08:14:12.463852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:14:12.537187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

처치및수술비
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2675065.3
Minimum342910
Maximum6074000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:14:12.610669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum342910
5-th percentile375755
Q11689947.5
median2574480
Q33761437.5
95-th percentile4836372.5
Maximum6074000
Range5731090
Interquartile range (IQR)2071490

Descriptive statistics

Standard deviation1461210.1
Coefficient of variation (CV)0.54623345
Kurtosis-0.55222564
Mean2675065.3
Median Absolute Deviation (MAD)1030120
Skewness0.26978882
Sum96302350
Variance2.1351351 × 1012
MonotonicityNot monotonic
2023-12-13T08:14:12.708770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1416960 1
 
2.8%
3507410 1
 
2.8%
3647900 1
 
2.8%
1286410 1
 
2.8%
4574920 1
 
2.8%
4270490 1
 
2.8%
1635850 1
 
2.8%
5387990 1
 
2.8%
4224420 1
 
2.8%
608810 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
342910 1
2.8%
373130 1
2.8%
376630 1
2.8%
608810 1
2.8%
835800 1
2.8%
1286410 1
2.8%
1416960 1
2.8%
1587660 1
2.8%
1635850 1
2.8%
1707980 1
2.8%
ValueCountFrequency (%)
6074000 1
2.8%
5387990 1
2.8%
4652500 1
2.8%
4574920 1
2.8%
4270490 1
2.8%
4224420 1
2.8%
3959060 1
2.8%
3925610 1
2.8%
3781170 1
2.8%
3754860 1
2.8%

한방및물리치료비
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-13T08:14:12.812517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:14:13.122439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

부대경비
Real number (ℝ)

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6178611.1
Minimum3360000
Maximum10780000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:14:13.196745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3360000
5-th percentile3447500
Q15015000
median5535000
Q37485000
95-th percentile10050000
Maximum10780000
Range7420000
Interquartile range (IQR)2470000

Descriptive statistics

Standard deviation2063788.7
Coefficient of variation (CV)0.33402146
Kurtosis-0.22201866
Mean6178611.1
Median Absolute Deviation (MAD)1160000
Skewness0.76990944
Sum2.2243 × 108
Variance4.2592237 × 1012
MonotonicityNot monotonic
2023-12-13T08:14:13.301712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
5160000 2
 
5.6%
8860000 1
 
2.8%
3440000 1
 
2.8%
3960000 1
 
2.8%
5320000 1
 
2.8%
9680000 1
 
2.8%
6140000 1
 
2.8%
5550000 1
 
2.8%
6130000 1
 
2.8%
3780000 1
 
2.8%
Other values (25) 25
69.4%
ValueCountFrequency (%)
3360000 1
2.8%
3440000 1
2.8%
3450000 1
2.8%
3770000 1
2.8%
3780000 1
2.8%
3960000 1
2.8%
4670000 1
2.8%
4690000 1
2.8%
4970000 1
2.8%
5030000 1
2.8%
ValueCountFrequency (%)
10780000 1
2.8%
10650000 1
2.8%
9850000 1
2.8%
9680000 1
2.8%
9260000 1
2.8%
8860000 1
2.8%
7900000 1
2.8%
7850000 1
2.8%
7560000 1
2.8%
7460000 1
2.8%

보철구수당
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

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 36
100.0%

Length

2023-12-13T08:14:13.428004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:14:13.517877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

기타
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39067.5
Minimum0
Maximum443670
Zeros21
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:14:13.588167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q343222.5
95-th percentile156827.5
Maximum443670
Range443670
Interquartile range (IQR)43222.5

Descriptive statistics

Standard deviation85780.865
Coefficient of variation (CV)2.1957091
Kurtosis14.185994
Mean39067.5
Median Absolute Deviation (MAD)0
Skewness3.4464799
Sum1406430
Variance7.3583568 × 109
MonotonicityNot monotonic
2023-12-13T08:14:13.678095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 21
58.3%
11950 2
 
5.6%
106280 1
 
2.8%
78860 1
 
2.8%
64890 1
 
2.8%
36000 1
 
2.8%
1950 1
 
2.8%
443670 1
 
2.8%
209500 1
 
2.8%
5000 1
 
2.8%
Other values (5) 5
 
13.9%
ValueCountFrequency (%)
0 21
58.3%
1950 1
 
2.8%
5000 1
 
2.8%
8120 1
 
2.8%
11950 2
 
5.6%
36000 1
 
2.8%
64890 1
 
2.8%
70580 1
 
2.8%
78860 1
 
2.8%
101320 1
 
2.8%
ValueCountFrequency (%)
443670 1
2.8%
209500 1
2.8%
139270 1
2.8%
117090 1
2.8%
106280 1
2.8%
101320 1
2.8%
78860 1
2.8%
70580 1
2.8%
64890 1
2.8%
36000 1
2.8%

합계
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41528431
Minimum21944180
Maximum77999720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T08:14:13.780871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21944180
5-th percentile27369468
Q134562158
median37989225
Q350414068
95-th percentile60958560
Maximum77999720
Range56055540
Interquartile range (IQR)15851910

Descriptive statistics

Standard deviation12085594
Coefficient of variation (CV)0.29101976
Kurtosis1.4479587
Mean41528431
Median Absolute Deviation (MAD)7050905
Skewness1.0887596
Sum1.4950235 × 109
Variance1.4606158 × 1014
MonotonicityNot monotonic
2023-12-13T08:14:13.896059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
51725090 1
 
2.8%
34491800 1
 
2.8%
30753410 1
 
2.8%
36572420 1
 
2.8%
34706130 1
 
2.8%
57803820 1
 
2.8%
31488390 1
 
2.8%
41366080 1
 
2.8%
43717000 1
 
2.8%
21944180 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
21944180 1
2.8%
26520550 1
2.8%
27652440 1
2.8%
28878050 1
2.8%
29400190 1
2.8%
30694450 1
2.8%
30753410 1
2.8%
31488390 1
2.8%
34491800 1
2.8%
34585610 1
2.8%
ValueCountFrequency (%)
77999720 1
2.8%
70422780 1
2.8%
57803820 1
2.8%
53898580 1
2.8%
52978370 1
2.8%
52749130 1
2.8%
52276260 1
2.8%
52180710 1
2.8%
51725090 1
2.8%
49977060 1
2.8%

Sample

날짜구분진료비식대자기공명영상장치(MRI)초음파검사료보조기보철구진단서대약제비간호비이송비선택진료비상급병실료화상치료제화상반흔제거수술성형수술처치및수술비한방및물리치료비부대경비보철구수당기타합계
02020년 1월금액004038980242016015550001440600145373013122302643078037750014463022745200001416960088600000051725090
12020년 2월금액0066058408580006413201900000124020087150048211660807200014000000060740000106500000077999720
22020년 3월금액0092611002277000113918025774001104440112446023398290754600000003491900078500000052978370
32020년 4월금액0080541901825650895980244765013174001426480262530001764110000001744670070200000052749130
42020년 5월금액0419810533826093100097000058505080438086149015956940187831000000465250004970000010628037474020
52020년 6월금액035700151564039020003235000951700178266013011860260100088000000019093400107800000035352500
62020년 7월금액00326123084450047500080000050530065620156212400000001587660033600000026520550
72020년 8월금액005786160278190025000010000082015023883701377778075000043060000001824270051600000037269630
82020년 9월금액0028738001144700905320139965088915016000305102640036060000000373130098500000070422780
92020년 10월금액004431670835000262690060238088690033876030041180137000024820000001994470079000000052276260
날짜구분진료비식대자기공명영상장치(MRI)초음파검사료보조기보철구진단서대약제비간호비이송비선택진료비상급병실료화상치료제화상반흔제거수술성형수술처치및수술비한방및물리치료비부대경비보철구수당기타합계
262022년 3월금액005769140139970010437003202910105240013600017599240225000000005387990055500000041366080
272022년 4월금액0051395001353400167300012000007925002883302236390015000004000000004224420061300000195043717000
282022년 5월금액0038233501112350960000041010076244084144601500000181900000060881003440000044367021944180
292022년 6월금액003463900195200012153005250008105503167301390426059160000000392561003780000020950030694450
302022년 7월금액005678270195700020699301000009315005446016258650001645000000835800050500000500034585610
312022년 8월금액009335580226860012140000110556054812011040620557400012000000003781170050300000812036089170
322022년 9월금액007842260201016016950002221720968850393740270310009970000000395906007560000011709053898580
332022년 10월금액006068110149240016280900127920015286017075520717200095360000026572100552000007058037614770
342022년 11월금액00607299024598702163500195238012943506961015162450196800084750000034291005110000013927035811630
352022년 12월금액00698000013690002644040265524011304002314401313305029730001071980000313991005610000010132038363680