Overview

Dataset statistics

Number of variables11
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory96.3 B

Variable types

Categorical4
Numeric6
Text1

Alerts

시술구분명 has constant value ""Constant
급여구분명 has constant value ""Constant
상대가치점수 is highly overall correlated with 단가1(원) and 1 other fieldsHigh correlation
단가1(원) is highly overall correlated with 상대가치점수 and 1 other fieldsHigh correlation
단가2(원) is highly overall correlated with 단가3(원) and 1 other fieldsHigh correlation
단가3(원) is highly overall correlated with 단가2(원) and 1 other fieldsHigh correlation
단가4(원) is highly overall correlated with 단가2(원) and 1 other fieldsHigh correlation
적용시작일자 is highly overall correlated with 상대가치점수 and 1 other fieldsHigh correlation
적용시작일자 is highly imbalanced (75.8%)Imbalance
한글명 has unique valuesUnique
수가코드 has unique valuesUnique
단가2(원) has 61 (61.0%) zerosZeros
단가3(원) has 77 (77.0%) zerosZeros
단가4(원) has 77 (77.0%) zerosZeros

Reproduction

Analysis started2023-12-10 12:09:13.440973
Analysis finished2023-12-10 12:09:18.750582
Duration5.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

적용시작일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20200101
96 
20200228
 
4

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20200101
2nd row20200101
3rd row20200101
4th row20200101
5th row20200101

Common Values

ValueCountFrequency (%)
20200101 96
96.0%
20200228 4
 
4.0%

Length

2023-12-10T21:09:18.841233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:09:18.954131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200101 96
96.0%
20200228 4
 
4.0%

상대가치점수
Real number (ℝ)

HIGH CORRELATION 

Distinct64
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.1456
Minimum28.79
Maximum386.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:09:19.075550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.79
5-th percentile45.62
Q1131.63
median180.345
Q3224.57
95-th percentile333.248
Maximum386.01
Range357.22
Interquartile range (IQR)92.94

Descriptive statistics

Standard deviation79.08675
Coefficient of variation (CV)0.43182446
Kurtosis0.21812479
Mean183.1456
Median Absolute Deviation (MAD)47.13
Skewness0.32609351
Sum18314.56
Variance6254.714
MonotonicityNot monotonic
2023-12-10T21:09:19.287424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197.68 3
 
3.0%
45.62 3
 
3.0%
131.63 3
 
3.0%
224.13 3
 
3.0%
141.44 3
 
3.0%
208.57 3
 
3.0%
28.79 3
 
3.0%
124.77 3
 
3.0%
231.92 2
 
2.0%
247.48 2
 
2.0%
Other values (54) 72
72.0%
ValueCountFrequency (%)
28.79 3
3.0%
45.62 3
3.0%
47.99 1
 
1.0%
52.31 1
 
1.0%
57.01 1
 
1.0%
62.14 1
 
1.0%
95.98 1
 
1.0%
102.84 1
 
1.0%
104.61 1
 
1.0%
111.47 1
 
1.0%
ValueCountFrequency (%)
386.01 1
1.0%
370.45 1
1.0%
366.49 1
1.0%
350.93 1
1.0%
348.03 1
1.0%
332.47 1
1.0%
330.57 2
2.0%
315.01 2
2.0%
260.16 2
2.0%
247.48 2
2.0%

한글명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:09:19.580239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length55
Mean length44.23
Min length11

Characters and Unicode

Total characters4423
Distinct characters67
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row초진진찰료-한의원. 국립병원내의 한방진료부. 상급종합병원·종합병원·병원·요양병원·치과병원·보건의료원 내 한의과/
2nd row초진진찰료-한의원. 국립병원내의 한방진료부. 상급종합병원·종합병원·병원·요양병원·치과병원·보건의료원 내 한의과/야간
3rd row초진진찰료-한의원.보건의료원 내 한의과/야간-차등수가제외
4th row초진진찰료-한의원.보건의료원 내 한의과/토요09-13
5th row초진진찰료-한의원. 국립병원내의 한방진료부. 상급종합병원·종합병원·병원·요양병원·치과병원·보건의료원 내 한의과/공휴
ValueCountFrequency (%)
내 39
 
7.5%
한의과대학 38
 
7.3%
부속 38
 
7.3%
설치된 38
 
7.3%
상급종합병원·종합병원·병원·요양병원·치과병원·보건의료원 23
 
4.4%
경우를 23
 
4.4%
한방진료부 23
 
4.4%
국립병원내의 23
 
4.4%
제외한 23
 
4.4%
초진진찰료-상급종합병원에 22
 
4.2%
Other values (41) 229
44.1%
2023-12-10T21:09:20.107151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
419
 
9.5%
원 315
 
7.1%
병 237
 
5.4%
한 227
 
5.1%
진 223
 
5.0%
의 178
 
4.0%
만 170
 
3.8%
료 162
 
3.7%
- 116
 
2.6%
. 116
 
2.6%
Other values (57) 2260
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3397
76.8%
Space Separator 419
 
9.5%
Other Punctuation 331
 
7.5%
Decimal Number 126
 
2.8%
Dash Punctuation 116
 
2.6%
Math Symbol 34
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 315
 
9.3%
병 237
 
7.0%
한 227
 
6.7%
진 223
 
6.6%
의 178
 
5.2%
만 170
 
5.0%
료 162
 
4.8%
세 102
 
3.0%
과 100
 
2.9%
찰 100
 
2.9%
Other values (46) 1583
46.6%
Decimal Number
ValueCountFrequency (%)
1 74
58.7%
6 34
27.0%
3 6
 
4.8%
9 6
 
4.8%
0 6
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 116
35.0%
· 115
34.7%
/ 100
30.2%
Space Separator
ValueCountFrequency (%)
419
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Math Symbol
ValueCountFrequency (%)
~ 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3397
76.8%
Common 1026
 
23.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 315
 
9.3%
병 237
 
7.0%
한 227
 
6.7%
진 223
 
6.6%
의 178
 
5.2%
만 170
 
5.0%
료 162
 
4.8%
세 102
 
3.0%
과 100
 
2.9%
찰 100
 
2.9%
Other values (46) 1583
46.6%
Common
ValueCountFrequency (%)
419
40.8%
- 116
 
11.3%
. 116
 
11.3%
· 115
 
11.2%
/ 100
 
9.7%
1 74
 
7.2%
6 34
 
3.3%
~ 34
 
3.3%
3 6
 
0.6%
9 6
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3397
76.8%
ASCII 911
 
20.6%
None 115
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
419
46.0%
- 116
 
12.7%
. 116
 
12.7%
/ 100
 
11.0%
1 74
 
8.1%
6 34
 
3.7%
~ 34
 
3.7%
3 6
 
0.7%
9 6
 
0.7%
0 6
 
0.7%
Hangul
ValueCountFrequency (%)
원 315
 
9.3%
병 237
 
7.0%
한 227
 
6.7%
진 223
 
6.6%
의 178
 
5.2%
만 170
 
5.0%
료 162
 
4.8%
세 102
 
3.0%
과 100
 
2.9%
찰 100
 
2.9%
Other values (46) 1583
46.6%
None
ValueCountFrequency (%)
· 115
100.0%

수가코드
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9338093
Minimum10100
Maximum10203090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:09:20.304819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10100
5-th percentile10200.95
Q110100645
median10103115
Q310200740
95-th percentile10202610
Maximum10203090
Range10192990
Interquartile range (IQR)100095

Descriptive statistics

Standard deviation2764934
Coefficient of variation (CV)0.29609193
Kurtosis8.0363704
Mean9338093
Median Absolute Deviation (MAD)96905.5
Skewness-3.1419407
Sum9.338093 × 108
Variance7.6448602 × 1012
MonotonicityNot monotonic
2023-12-10T21:09:20.512593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10100 1
 
1.0%
10200150 1
 
1.0%
10201050 1
 
1.0%
10201010 1
 
1.0%
10201 1
 
1.0%
10200650 1
 
1.0%
10200630 1
 
1.0%
10200621 1
 
1.0%
10200620 1
 
1.0%
10200611 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
10100 1
1.0%
10101 1
1.0%
10102 1
1.0%
10103 1
1.0%
10200 1
1.0%
10201 1
1.0%
10202 1
1.0%
10203 1
1.0%
10100010 1
1.0%
10100011 1
1.0%
ValueCountFrequency (%)
10203090 1
1.0%
10203050 1
1.0%
10203010 1
1.0%
10202650 1
1.0%
10202620 1
1.0%
10202610 1
1.0%
10202600 1
1.0%
10202150 1
1.0%
10202120 1
1.0%
10202110 1
1.0%

수가분류번호
Categorical

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
가1나(9)
20 
가1가(9)
19 
가1나(10)
12 
가1나(11)
12 
가1가(10)
11 
Other values (3)
26 

Length

Max length7
Median length7
Mean length6.61
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가1가(9)
2nd row가1가(9)
3rd row가1가(9)
4th row가1가(9)
5th row가1가(9)

Common Values

ValueCountFrequency (%)
가1나(9) 20
20.0%
가1가(9) 19
19.0%
가1나(10) 12
12.0%
가1나(11) 12
12.0%
가1가(10) 11
11.0%
가1가(11) 11
11.0%
가1가(12) 11
11.0%
가1나(12) 4
 
4.0%

Length

2023-12-10T21:09:20.691982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:09:20.842197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가1나(9 20
20.0%
가1가(9 19
19.0%
가1나(10 12
12.0%
가1나(11 12
12.0%
가1가(10 11
11.0%
가1가(11 11
11.0%
가1가(12 11
11.0%
가1나(12 4
 
4.0%

시술구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
비시술
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비시술 100
100.0%

Length

2023-12-10T21:09:21.010792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:09:21.131684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비시술 100
100.0%

급여구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
급여
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
급여 100
100.0%

Length

2023-12-10T21:09:21.555327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:09:21.687313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
급여 100
100.0%

단가1(원)
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15988.6
Minimum2510
Maximum33700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:09:21.831458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2510
5-th percentile3980
Q111490
median15740
Q319607.5
95-th percentile29088
Maximum33700
Range31190
Interquartile range (IQR)8117.5

Descriptive statistics

Standard deviation6904.7176
Coefficient of variation (CV)0.43185255
Kurtosis0.21769162
Mean15988.6
Median Absolute Deviation (MAD)4115
Skewness0.32565669
Sum1598860
Variance47675125
MonotonicityNot monotonic
2023-12-10T21:09:22.003100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18210 5
 
5.0%
2510 3
 
3.0%
12350 3
 
3.0%
3980 3
 
3.0%
11490 3
 
3.0%
19570 3
 
3.0%
10890 3
 
3.0%
17260 3
 
3.0%
21610 2
 
2.0%
12940 2
 
2.0%
Other values (53) 70
70.0%
ValueCountFrequency (%)
2510 3
3.0%
3980 3
3.0%
4190 1
 
1.0%
4570 1
 
1.0%
4980 1
 
1.0%
5420 1
 
1.0%
8380 1
 
1.0%
8980 1
 
1.0%
9130 1
 
1.0%
9730 1
 
1.0%
ValueCountFrequency (%)
33700 1
1.0%
32340 1
1.0%
31990 1
1.0%
30640 1
1.0%
30380 1
1.0%
29020 1
1.0%
28860 2
2.0%
27500 2
2.0%
22710 2
2.0%
21610 2
2.0%

단가2(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5251.6
Minimum0
Maximum27700
Zeros61
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:09:22.127240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311030
95-th percentile18780
Maximum27700
Range27700
Interquartile range (IQR)11030

Descriptive statistics

Standard deviation7867.4654
Coefficient of variation (CV)1.4981083
Kurtosis0.4889413
Mean5251.6
Median Absolute Deviation (MAD)0
Skewness1.2793727
Sum525160
Variance61897012
MonotonicityNot monotonic
2023-12-10T21:09:22.272741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 61
61.0%
17480 5
 
5.0%
11850 3
 
3.0%
3820 3
 
3.0%
18780 3
 
3.0%
11030 3
 
3.0%
16570 3
 
3.0%
10460 3
 
3.0%
2410 3
 
3.0%
16660 2
 
2.0%
Other values (9) 11
 
11.0%
ValueCountFrequency (%)
0 61
61.0%
2410 3
 
3.0%
3820 3
 
3.0%
4020 1
 
1.0%
8040 1
 
1.0%
8620 1
 
1.0%
9440 1
 
1.0%
10460 3
 
3.0%
11030 3
 
3.0%
11850 3
 
3.0%
ValueCountFrequency (%)
27700 2
 
2.0%
26400 2
 
2.0%
18780 3
3.0%
17480 5
5.0%
16660 2
 
2.0%
16570 3
3.0%
14960 1
 
1.0%
13660 1
 
1.0%
12740 1
 
1.0%
11850 3
3.0%

단가3(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3019.4
Minimum0
Maximum25190
Zeros77
Zeros (%)77.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:09:22.398828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15890.5
Maximum25190
Range25190
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6041.2656
Coefficient of variation (CV)2.0008166
Kurtosis2.621344
Mean3019.4
Median Absolute Deviation (MAD)0
Skewness1.8899441
Sum301940
Variance36496891
MonotonicityNot monotonic
2023-12-10T21:09:22.536730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 77
77.0%
17080 2
 
2.0%
10030 2
 
2.0%
15890 2
 
2.0%
15060 2
 
2.0%
9510 2
 
2.0%
10780 2
 
2.0%
11590 1
 
1.0%
8580 1
 
1.0%
15150 1
 
1.0%
Other values (8) 8
 
8.0%
ValueCountFrequency (%)
0 77
77.0%
3660 1
 
1.0%
7310 1
 
1.0%
7840 1
 
1.0%
8580 1
 
1.0%
9510 2
 
2.0%
10030 2
 
2.0%
10780 2
 
2.0%
11590 1
 
1.0%
12420 1
 
1.0%
ValueCountFrequency (%)
25190 1
1.0%
24000 1
1.0%
17080 2
2.0%
15900 1
1.0%
15890 2
2.0%
15150 1
1.0%
15060 2
2.0%
13600 1
1.0%
12420 1
1.0%
11590 1
1.0%

단가4(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3463
Minimum0
Maximum28890
Zeros77
Zeros (%)77.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:09:22.674450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile18230
Maximum28890
Range28890
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6929.1537
Coefficient of variation (CV)2.0009107
Kurtosis2.6220805
Mean3463
Median Absolute Deviation (MAD)0
Skewness1.8901388
Sum346300
Variance48013171
MonotonicityNot monotonic
2023-12-10T21:09:22.856782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 77
77.0%
18230 3
 
3.0%
19590 2
 
2.0%
11500 2
 
2.0%
12360 2
 
2.0%
17280 2
 
2.0%
10900 2
 
2.0%
13290 1
 
1.0%
9850 1
 
1.0%
17380 1
 
1.0%
Other values (7) 7
 
7.0%
ValueCountFrequency (%)
0 77
77.0%
4190 1
 
1.0%
8390 1
 
1.0%
8990 1
 
1.0%
9850 1
 
1.0%
10900 2
 
2.0%
11500 2
 
2.0%
12360 2
 
2.0%
13290 1
 
1.0%
14240 1
 
1.0%
ValueCountFrequency (%)
28890 1
 
1.0%
27530 1
 
1.0%
19590 2
2.0%
18230 3
3.0%
17380 1
 
1.0%
17280 2
2.0%
15600 1
 
1.0%
14240 1
 
1.0%
13290 1
 
1.0%
12360 2
2.0%

Interactions

2023-12-10T21:09:17.580754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:13.880752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:14.611045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:15.372835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:16.151300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:16.784816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:17.748147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:13.997671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:14.748027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:15.534180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:16.273715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:16.907159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:17.902985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:14.096482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:14.868466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:15.660595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:16.394528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:17.059640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:18.028456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:14.234964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:15.003145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:15.786187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:16.488062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:17.190991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:18.154030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:14.363936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:15.121019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:15.901597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:16.576173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:17.321490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:18.276423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:14.480594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:15.239605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:16.027586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:16.672296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:09:17.441053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:09:22.984707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
적용시작일자상대가치점수한글명수가코드수가분류번호단가1(원)단가2(원)단가3(원)단가4(원)
적용시작일자1.0000.5631.0000.0000.1370.7050.0000.5810.581
상대가치점수0.5631.0001.0000.3780.5261.0000.8500.7640.764
한글명1.0001.0001.0001.0001.0001.0001.0001.0001.000
수가코드0.0000.3781.0001.0000.0000.3730.4220.3880.388
수가분류번호0.1370.5261.0000.0001.0000.5280.7810.5750.575
단가1(원)0.7051.0001.0000.3730.5281.0000.8610.7670.767
단가2(원)0.0000.8501.0000.4220.7810.8611.0000.9840.984
단가3(원)0.5810.7641.0000.3880.5750.7670.9841.0001.000
단가4(원)0.5810.7641.0000.3880.5750.7670.9841.0001.000
2023-12-10T21:09:23.141126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수가분류번호적용시작일자
수가분류번호1.0000.096
적용시작일자0.0961.000
2023-12-10T21:09:23.259934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상대가치점수수가코드단가1(원)단가2(원)단가3(원)단가4(원)적용시작일자수가분류번호
상대가치점수1.000-0.2521.000-0.073-0.055-0.0550.5450.288
수가코드-0.2521.000-0.254-0.329-0.242-0.2420.0000.000
단가1(원)1.000-0.2541.000-0.073-0.055-0.0550.5450.288
단가2(원)-0.073-0.329-0.0731.0000.7080.7080.0000.365
단가3(원)-0.055-0.242-0.0550.7081.0001.0000.4250.222
단가4(원)-0.055-0.242-0.0550.7081.0001.0000.4250.222
적용시작일자0.5450.0000.5450.0000.4250.4251.0000.096
수가분류번호0.2880.0000.2880.3650.2220.2220.0961.000

Missing values

2023-12-10T21:09:18.443854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:09:18.663709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

적용시작일자상대가치점수한글명수가코드수가분류번호시술구분명급여구분명단가1(원)단가2(원)단가3(원)단가4(원)
020200101152.06초진진찰료-한의원. 국립병원내의 한방진료부. 상급종합병원·종합병원·병원·요양병원·치과병원·보건의료원 내 한의과/10100가1가(9)비시술급여13270127401159013290
120200101197.68초진진찰료-한의원. 국립병원내의 한방진료부. 상급종합병원·종합병원·병원·요양병원·치과병원·보건의료원 내 한의과/야간10100010가1가(9)비시술급여17260165701506017280
220200101197.68초진진찰료-한의원.보건의료원 내 한의과/야간-차등수가제외10100011가1가(9)비시술급여172601657000
32020010145.62초진진찰료-한의원.보건의료원 내 한의과/토요09-1310100030가1가(9)비시술급여3980382000
420200101197.68초진진찰료-한의원. 국립병원내의 한방진료부. 상급종합병원·종합병원·병원·요양병원·치과병원·보건의료원 내 한의과/공휴10100050가1가(9)비시술급여17260165701506017280
520200101178.51초진진찰료-한의원. 국립병원내의 한방진료부. 상급종합병원·종합병원·병원·요양병원·치과병원·보건의료원 내 한의과/만1세미만10100100가1가(9)비시술급여15580149601360015600
620200101224.13초진진찰료-한의원. 국립병원내의 한방진료부. 상급종합병원·종합병원·병원·요양병원·치과병원·보건의료원 내 한의과/만1세미만. 야간10100110가1가(9)비시술급여19570187801708019590
720200101224.13초진진찰료-한의원.보건의료원 내 한의과/만1세미만. 야간-차등수가제외10100111가1가(9)비시술급여195701878000
820200101330.57초진진찰료-한의원. 국립병원내의 한방진료부. 상급종합병원·종합병원·병원·요양병원·치과병원·보건의료원 내 한의과/만1세미만. 심야10100120가1가(9)비시술급여28860277002519028890
920200101330.57초진진찰료-한의원.보건의료원 내 한의과/만1세미만. 심야-차등수가제외10100121가1가(9)비시술급여288602770000
적용시작일자상대가치점수한글명수가코드수가분류번호시술구분명급여구분명단가1(원)단가2(원)단가3(원)단가4(원)
9020200101244.71재진진찰료-상급종합병원에 설치된 경우를 제외한 한의과대학 부속 한방병원/만1세미만. 심야10202120가1나(11)비시술급여21360000
9120200101164.9재진진찰료-상급종합병원에 설치된 경우를 제외한 한의과대학 부속 한방병원/만1세미만. 공휴10202150가1나(11)비시술급여14400000
9220200101120.88재진진찰료-상급종합병원에 설치된 경우를 제외한 한의과대학 부속 한방병원/만1세이상~만6세미만10202600가1나(11)비시술급여10550000
9320200101155.09재진진찰료-상급종합병원에 설치된 경우를 제외한 한의과대학 부속 한방병원/만1세이상~만6세미만. 야간10202610가1나(11)비시술급여13540000
9420200101234.9재진진찰료-상급종합병원에 설치된 경우를 제외한 한의과대학 부속 한방병원/만1세이상~만6세미만. 심야10202620가1나(11)비시술급여20510000
9520200101155.09재진진찰료-상급종합병원에 설치된 경우를 제외한 한의과대학 부속 한방병원/만1세이상~만6세미만. 공휴10202650가1나(11)비시술급여13540000
9620200101124.27재진진찰료-상급종합병원에 설치된 한의과대학 부속 한방병원/10203가1나(12)비시술급여10850000
9720200101161.55재진진찰료-상급종합병원에 설치된 한의과대학 부속 한방병원/야간10203010가1나(12)비시술급여14100000
9820200101161.55재진진찰료-상급종합병원에 설치된 한의과대학 부속 한방병원/공휴10203050가1나(12)비시술급여14100000
992020022862.14재진진찰료-상급종합병원에 설치된 한의과대학 부속 한방병원/대리수령자가 처방전 및 약제를 수령한 경우10203090가1나(12)비시술급여5420000