Overview

Dataset statistics

Number of variables37
Number of observations109
Missing cells674
Missing cells (%)16.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.4 KiB
Average record size in memory314.2 B

Variable types

Numeric7
Categorical14
Text7
DateTime6
Unsupported3

Dataset

Description23년08월_6270000_대구광역시_01_01_10_P_의료유사업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000099931&dataSetDetailId=DDI_0000099947&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
욕실면적 is highly imbalanced (54.8%)Imbalance
인허가취소일자 has 109 (100.0%) missing valuesMissing
폐업일자 has 47 (43.1%) missing valuesMissing
휴업시작일자 has 96 (88.1%) missing valuesMissing
휴업종료일자 has 96 (88.1%) missing valuesMissing
재개업일자 has 109 (100.0%) missing valuesMissing
소재지전화 has 8 (7.3%) missing valuesMissing
소재지면적 has 109 (100.0%) missing valuesMissing
소재지우편번호 has 41 (37.6%) missing valuesMissing
소재지전체주소 has 6 (5.5%) missing valuesMissing
도로명우편번호 has 20 (18.3%) missing valuesMissing
직원수 has 6 (5.5%) missing valuesMissing
병상수 has 27 (24.8%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
직원수 has 7 (6.4%) zerosZeros
병상수 has 11 (10.1%) zerosZeros

Reproduction

Analysis started2024-04-17 09:55:27.047147
Analysis finished2024-04-17 09:55:27.699404
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct109
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55
Minimum1
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T18:55:27.799301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.4
Q128
median55
Q382
95-th percentile103.6
Maximum109
Range108
Interquartile range (IQR)54

Descriptive statistics

Standard deviation31.609598
Coefficient of variation (CV)0.57471996
Kurtosis-1.2
Mean55
Median Absolute Deviation (MAD)27
Skewness0
Sum5995
Variance999.16667
MonotonicityStrictly increasing
2024-04-17T18:55:28.007246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
70 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
Other values (99) 99
90.8%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1004.0 B
의료유사업
109 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의료유사업 109
100.0%

Length

2024-04-17T18:55:28.132931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:55:28.215724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료유사업 109
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1004.0 B
01_01_10_P
109 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_10_P
2nd row01_01_10_P
3rd row01_01_10_P
4th row01_01_10_P
5th row01_01_10_P

Common Values

ValueCountFrequency (%)
01_01_10_P 109
100.0%

Length

2024-04-17T18:55:28.300425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:55:28.381249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_10_p 109
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450183.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T18:55:28.459033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3414000
Q13430000
median3460000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20726.689
Coefficient of variation (CV)0.0060074165
Kurtosis-1.0812821
Mean3450183.5
Median Absolute Deviation (MAD)10000
Skewness-0.5651921
Sum3.7607 × 108
Variance4.2959565 × 108
MonotonicityIncreasing
2024-04-17T18:55:28.566471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 38
34.9%
3420000 16
14.7%
3460000 16
14.7%
3450000 14
 
12.8%
3440000 10
 
9.2%
3430000 7
 
6.4%
3410000 6
 
5.5%
3480000 2
 
1.8%
ValueCountFrequency (%)
3410000 6
 
5.5%
3420000 16
14.7%
3430000 7
 
6.4%
3440000 10
 
9.2%
3450000 14
 
12.8%
3460000 16
14.7%
3470000 38
34.9%
3480000 2
 
1.8%
ValueCountFrequency (%)
3480000 2
 
1.8%
3470000 38
34.9%
3460000 16
14.7%
3450000 14
 
12.8%
3440000 10
 
9.2%
3430000 7
 
6.4%
3420000 16
14.7%
3410000 6
 
5.5%

관리번호
Text

UNIQUE 

Distinct109
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2024-04-17T18:55:28.744134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2725
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)100.0%

Sample

1st rowPHMB420043410023042400001
2nd rowPHMB420083410023042400001
3rd rowPHMB420213410023042400001
4th rowPHMB420163410023042400001
5th rowPHMB420093410023042400001
ValueCountFrequency (%)
phmb420043410023042400001 1
 
0.9%
phmb420113460023042400001 1
 
0.9%
phmb420043470022042400004 1
 
0.9%
phmb420053470022042400002 1
 
0.9%
phmb420043470022042400003 1
 
0.9%
phmb420043470022042400002 1
 
0.9%
phmb420063470022042400002 1
 
0.9%
phmb420063470022042400001 1
 
0.9%
phmb420053470022042400001 1
 
0.9%
phmb420033470022042400001 1
 
0.9%
Other values (99) 99
90.8%
2024-04-17T18:55:29.046435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 923
33.9%
4 469
17.2%
2 428
15.7%
3 174
 
6.4%
1 156
 
5.7%
P 109
 
4.0%
H 109
 
4.0%
M 109
 
4.0%
B 109
 
4.0%
7 49
 
1.8%
Other values (4) 90
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2289
84.0%
Uppercase Letter 436
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 923
40.3%
4 469
20.5%
2 428
18.7%
3 174
 
7.6%
1 156
 
6.8%
7 49
 
2.1%
5 29
 
1.3%
6 27
 
1.2%
9 23
 
1.0%
8 11
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 109
25.0%
H 109
25.0%
M 109
25.0%
B 109
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2289
84.0%
Latin 436
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 923
40.3%
4 469
20.5%
2 428
18.7%
3 174
 
7.6%
1 156
 
6.8%
7 49
 
2.1%
5 29
 
1.3%
6 27
 
1.2%
9 23
 
1.0%
8 11
 
0.5%
Latin
ValueCountFrequency (%)
P 109
25.0%
H 109
25.0%
M 109
25.0%
B 109
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 923
33.9%
4 469
17.2%
2 428
15.7%
3 174
 
6.4%
1 156
 
5.7%
P 109
 
4.0%
H 109
 
4.0%
M 109
 
4.0%
B 109
 
4.0%
7 49
 
1.8%
Other values (4) 90
 
3.3%
Distinct105
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1004.0 B
Minimum1985-01-19 00:00:00
Maximum2023-06-20 00:00:00
2024-04-17T18:55:29.179347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:55:29.319597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB
Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
3
61 
1
47 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row3
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 61
56.0%
1 47
43.1%
4 1
 
0.9%

Length

2024-04-17T18:55:29.442118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:55:29.527027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 61
56.0%
1 47
43.1%
4 1
 
0.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
폐업
61 
영업/정상
47 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.4036697
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row폐업
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 61
56.0%
영업/정상 47
43.1%
취소/말소/만료/정지/중지 1
 
0.9%

Length

2024-04-17T18:55:29.626387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:55:29.723691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 61
56.0%
영업/정상 47
43.1%
취소/말소/만료/정지/중지 1
 
0.9%
Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
3
61 
13
47 
24
 
1

Length

Max length2
Median length1
Mean length1.440367
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row3
2nd row3
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
3 61
56.0%
13 47
43.1%
24 1
 
0.9%

Length

2024-04-17T18:55:29.828723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:55:29.912506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 61
56.0%
13 47
43.1%
24 1
 
0.9%
Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
폐업
61 
영업중
47 
직권폐업
 
1

Length

Max length4
Median length2
Mean length2.4495413
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row폐업
2nd row폐업
3rd row영업중
4th row영업중
5th row영업중

Common Values

ValueCountFrequency (%)
폐업 61
56.0%
영업중 47
43.1%
직권폐업 1
 
0.9%

Length

2024-04-17T18:55:30.015610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:55:30.130448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 61
56.0%
영업중 47
43.1%
직권폐업 1
 
0.9%

폐업일자
Date

MISSING 

Distinct61
Distinct (%)98.4%
Missing47
Missing (%)43.1%
Memory size1004.0 B
Minimum2009-01-22 00:00:00
Maximum2023-02-21 00:00:00
2024-04-17T18:55:30.243574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:55:30.353377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct13
Distinct (%)100.0%
Missing96
Missing (%)88.1%
Memory size1004.0 B
Minimum2008-12-12 00:00:00
Maximum2020-08-11 00:00:00
2024-04-17T18:55:30.451727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:55:30.543932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

휴업종료일자
Date

MISSING 

Distinct13
Distinct (%)100.0%
Missing96
Missing (%)88.1%
Memory size1004.0 B
Minimum2009-06-10 00:00:00
Maximum2021-02-10 00:00:00
2024-04-17T18:55:30.646401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:55:30.743116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

소재지전화
Text

MISSING 

Distinct95
Distinct (%)94.1%
Missing8
Missing (%)7.3%
Memory size1004.0 B
2024-04-17T18:55:30.997076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.643564
Min length8

Characters and Unicode

Total characters1075
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)88.1%

Sample

1st row053-425-0041
2nd row053-818-0019
3rd row053-212-9933
4th row0534257695
5th row053-253-1889
ValueCountFrequency (%)
588-9943 2
 
1.9%
053-631-2020 2
 
1.9%
053-941-1906 2
 
1.9%
053-556-2224 2
 
1.9%
636-2080 2
 
1.9%
053-754-8885 2
 
1.9%
053-741-0407 1
 
1.0%
641-9020 1
 
1.0%
593-5547 1
 
1.0%
527-3114 1
 
1.0%
Other values (87) 87
84.5%
2024-04-17T18:55:31.478287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 175
16.3%
- 158
14.7%
3 132
12.3%
0 132
12.3%
2 91
8.5%
7 73
6.8%
6 70
 
6.5%
1 67
 
6.2%
4 66
 
6.1%
8 64
 
6.0%
Other values (2) 47
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 915
85.1%
Dash Punctuation 158
 
14.7%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 175
19.1%
3 132
14.4%
0 132
14.4%
2 91
9.9%
7 73
8.0%
6 70
 
7.7%
1 67
 
7.3%
4 66
 
7.2%
8 64
 
7.0%
9 45
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 158
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1075
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 175
16.3%
- 158
14.7%
3 132
12.3%
0 132
12.3%
2 91
8.5%
7 73
6.8%
6 70
 
6.5%
1 67
 
6.2%
4 66
 
6.1%
8 64
 
6.0%
Other values (2) 47
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 175
16.3%
- 158
14.7%
3 132
12.3%
0 132
12.3%
2 91
8.5%
7 73
6.8%
6 70
 
6.5%
1 67
 
6.2%
4 66
 
6.1%
8 64
 
6.0%
Other values (2) 47
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Text

MISSING 

Distinct51
Distinct (%)75.0%
Missing41
Missing (%)37.6%
Memory size1004.0 B
2024-04-17T18:55:31.696317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.9411765
Min length5

Characters and Unicode

Total characters472
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)57.4%

Sample

1st row700-020
2nd row700-803
3rd row700-060
4th row701-830
5th row701-815
ValueCountFrequency (%)
704-948 4
 
5.9%
704-350 3
 
4.4%
704-940 3
 
4.4%
706-853 3
 
4.4%
701-010 2
 
2.9%
702-845 2
 
2.9%
704-141 2
 
2.9%
703-848 2
 
2.9%
701-815 2
 
2.9%
706-839 2
 
2.9%
Other values (41) 43
63.2%
2024-04-17T18:55:32.027355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 105
22.2%
7 71
15.0%
- 66
14.0%
4 46
9.7%
8 42
 
8.9%
1 33
 
7.0%
2 28
 
5.9%
3 25
 
5.3%
5 22
 
4.7%
6 21
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 406
86.0%
Dash Punctuation 66
 
14.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 105
25.9%
7 71
17.5%
4 46
11.3%
8 42
 
10.3%
1 33
 
8.1%
2 28
 
6.9%
3 25
 
6.2%
5 22
 
5.4%
6 21
 
5.2%
9 13
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 105
22.2%
7 71
15.0%
- 66
14.0%
4 46
9.7%
8 42
 
8.9%
1 33
 
7.0%
2 28
 
5.9%
3 25
 
5.3%
5 22
 
4.7%
6 21
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 105
22.2%
7 71
15.0%
- 66
14.0%
4 46
9.7%
8 42
 
8.9%
1 33
 
7.0%
2 28
 
5.9%
3 25
 
5.3%
5 22
 
4.7%
6 21
 
4.4%

소재지전체주소
Text

MISSING 

Distinct102
Distinct (%)99.0%
Missing6
Missing (%)5.5%
Memory size1004.0 B
2024-04-17T18:55:32.378372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length30
Mean length23.553398
Min length17

Characters and Unicode

Total characters2426
Distinct characters106
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)98.1%

Sample

1st row대구광역시 중구 향촌동 16번지
2nd row대구광역시 중구 남산동 923번지 16호
3rd row대구광역시 중구 남산동 2111-1
4th row대구광역시 중구 태평로1가 1번지 187호 2층 241호
5th row대구광역시 중구 남일동 131번지 1호
ValueCountFrequency (%)
대구광역시 103
 
19.3%
달서구 37
 
6.9%
1호 17
 
3.2%
수성구 16
 
3.0%
북구 13
 
2.4%
동구 13
 
2.4%
남구 10
 
1.9%
3호 8
 
1.5%
2호 8
 
1.5%
서구 7
 
1.3%
Other values (198) 301
56.5%
2024-04-17T18:55:32.866444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
430
17.7%
205
 
8.5%
1 129
 
5.3%
117
 
4.8%
112
 
4.6%
104
 
4.3%
104
 
4.3%
103
 
4.2%
101
 
4.2%
96
 
4.0%
Other values (96) 925
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1439
59.3%
Decimal Number 529
 
21.8%
Space Separator 430
 
17.7%
Dash Punctuation 10
 
0.4%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Other Punctuation 3
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
205
14.2%
117
 
8.1%
112
 
7.8%
104
 
7.2%
104
 
7.2%
103
 
7.2%
101
 
7.0%
96
 
6.7%
90
 
6.3%
44
 
3.1%
Other values (80) 363
25.2%
Decimal Number
ValueCountFrequency (%)
1 129
24.4%
2 85
16.1%
3 53
10.0%
4 50
 
9.5%
7 45
 
8.5%
5 41
 
7.8%
0 35
 
6.6%
8 34
 
6.4%
6 31
 
5.9%
9 26
 
4.9%
Space Separator
ValueCountFrequency (%)
430
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1439
59.3%
Common 986
40.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
205
14.2%
117
 
8.1%
112
 
7.8%
104
 
7.2%
104
 
7.2%
103
 
7.2%
101
 
7.0%
96
 
6.7%
90
 
6.3%
44
 
3.1%
Other values (80) 363
25.2%
Common
ValueCountFrequency (%)
430
43.6%
1 129
 
13.1%
2 85
 
8.6%
3 53
 
5.4%
4 50
 
5.1%
7 45
 
4.6%
5 41
 
4.2%
0 35
 
3.5%
8 34
 
3.4%
6 31
 
3.1%
Other values (5) 53
 
5.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1439
59.3%
ASCII 987
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
430
43.6%
1 129
 
13.1%
2 85
 
8.6%
3 53
 
5.4%
4 50
 
5.1%
7 45
 
4.6%
5 41
 
4.2%
0 35
 
3.5%
8 34
 
3.4%
6 31
 
3.1%
Other values (6) 54
 
5.5%
Hangul
ValueCountFrequency (%)
205
14.2%
117
 
8.1%
112
 
7.8%
104
 
7.2%
104
 
7.2%
103
 
7.2%
101
 
7.0%
96
 
6.7%
90
 
6.3%
44
 
3.1%
Other values (80) 363
25.2%
Distinct107
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2024-04-17T18:55:33.217538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length27.963303
Min length21

Characters and Unicode

Total characters3048
Distinct characters155
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)96.3%

Sample

1st row대구광역시 중구 북성로 106-6 (향촌동)
2nd row대구광역시 중구 명륜로21길 84 (남산동)
3rd row대구광역시 중구 명덕로 179, 2층 (남산동)
4th row대구광역시 중구 태평로 177 (태평로1가, 태평라이프아파트)
5th row대구광역시 중구 중앙대로79길 13 (남일동)
ValueCountFrequency (%)
대구광역시 109
 
17.4%
달서구 38
 
6.1%
수성구 16
 
2.6%
동구 16
 
2.6%
북구 14
 
2.2%
1층 11
 
1.8%
2층 10
 
1.6%
남구 10
 
1.6%
3층 10
 
1.6%
5층 9
 
1.4%
Other values (256) 384
61.2%
2024-04-17T18:55:33.669148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
518
 
17.0%
233
 
7.6%
147
 
4.8%
142
 
4.7%
112
 
3.7%
111
 
3.6%
( 110
 
3.6%
110
 
3.6%
) 110
 
3.6%
107
 
3.5%
Other values (145) 1348
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1752
57.5%
Space Separator 518
 
17.0%
Decimal Number 465
 
15.3%
Open Punctuation 110
 
3.6%
Close Punctuation 110
 
3.6%
Other Punctuation 66
 
2.2%
Dash Punctuation 24
 
0.8%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
233
 
13.3%
147
 
8.4%
142
 
8.1%
112
 
6.4%
111
 
6.3%
110
 
6.3%
107
 
6.1%
54
 
3.1%
51
 
2.9%
50
 
2.9%
Other values (127) 635
36.2%
Decimal Number
ValueCountFrequency (%)
1 98
21.1%
2 74
15.9%
3 61
13.1%
4 45
9.7%
0 41
8.8%
5 38
 
8.2%
6 34
 
7.3%
8 33
 
7.1%
7 26
 
5.6%
9 15
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
K 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
518
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1752
57.5%
Common 1293
42.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
233
 
13.3%
147
 
8.4%
142
 
8.1%
112
 
6.4%
111
 
6.3%
110
 
6.3%
107
 
6.1%
54
 
3.1%
51
 
2.9%
50
 
2.9%
Other values (127) 635
36.2%
Common
ValueCountFrequency (%)
518
40.1%
( 110
 
8.5%
) 110
 
8.5%
1 98
 
7.6%
2 74
 
5.7%
, 66
 
5.1%
3 61
 
4.7%
4 45
 
3.5%
0 41
 
3.2%
5 38
 
2.9%
Other values (5) 132
 
10.2%
Latin
ValueCountFrequency (%)
P 1
33.3%
K 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1752
57.5%
ASCII 1296
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
518
40.0%
( 110
 
8.5%
) 110
 
8.5%
1 98
 
7.6%
2 74
 
5.7%
, 66
 
5.1%
3 61
 
4.7%
4 45
 
3.5%
0 41
 
3.2%
5 38
 
2.9%
Other values (8) 135
 
10.4%
Hangul
ValueCountFrequency (%)
233
 
13.3%
147
 
8.4%
142
 
8.1%
112
 
6.4%
111
 
6.3%
110
 
6.3%
107
 
6.1%
54
 
3.1%
51
 
2.9%
50
 
2.9%
Other values (127) 635
36.2%

도로명우편번호
Text

MISSING 

Distinct76
Distinct (%)85.4%
Missing20
Missing (%)18.3%
Memory size1004.0 B
2024-04-17T18:55:33.900115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3820225
Min length5

Characters and Unicode

Total characters479
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)74.2%

Sample

1st row41968
2nd row41903
3rd row41935
4th row41935
5th row41248
ValueCountFrequency (%)
42149 3
 
3.4%
701-815 3
 
3.4%
41423 3
 
3.4%
41226 2
 
2.2%
42713 2
 
2.2%
41462 2
 
2.2%
42612 2
 
2.2%
704-948 2
 
2.2%
42661 2
 
2.2%
41935 2
 
2.2%
Other values (66) 66
74.2%
2024-04-17T18:55:34.270690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 109
22.8%
2 74
15.4%
1 73
15.2%
0 41
 
8.6%
7 39
 
8.1%
8 32
 
6.7%
6 31
 
6.5%
3 25
 
5.2%
9 23
 
4.8%
- 17
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 462
96.5%
Dash Punctuation 17
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 109
23.6%
2 74
16.0%
1 73
15.8%
0 41
 
8.9%
7 39
 
8.4%
8 32
 
6.9%
6 31
 
6.7%
3 25
 
5.4%
9 23
 
5.0%
5 15
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 479
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 109
22.8%
2 74
15.4%
1 73
15.2%
0 41
 
8.6%
7 39
 
8.1%
8 32
 
6.7%
6 31
 
6.5%
3 25
 
5.2%
9 23
 
4.8%
- 17
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 479
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 109
22.8%
2 74
15.4%
1 73
15.2%
0 41
 
8.6%
7 39
 
8.1%
8 32
 
6.7%
6 31
 
6.5%
3 25
 
5.2%
9 23
 
4.8%
- 17
 
3.5%
Distinct100
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2024-04-17T18:55:34.479115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7.1192661
Min length1

Characters and Unicode

Total characters776
Distinct characters158
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)83.5%

Sample

1st row뉴대구안마시술소
2nd row약손안마원
3rd row명덕건강안마원
4th row약손지압안마원
5th row영광안마원
ValueCountFrequency (%)
약손수기안마원 2
 
1.8%
밝은세상안마원신천역점 2
 
1.8%
상인안마시술소 2
 
1.8%
도쿄안마시술소 2
 
1.8%
진안마원 2
 
1.8%
밝은세상안마원 2
 
1.8%
성모지압안마원 2
 
1.8%
달구벌안마센터안마원 2
 
1.8%
엠안마시술소 2
 
1.8%
약손지압안마원 2
 
1.8%
Other values (94) 94
82.5%
2024-04-17T18:55:34.809362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
 
13.7%
105
 
13.5%
64
 
8.2%
48
 
6.2%
46
 
5.9%
46
 
5.9%
14
 
1.8%
14
 
1.8%
12
 
1.5%
10
 
1.3%
Other values (148) 311
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 766
98.7%
Space Separator 5
 
0.6%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
106
 
13.8%
105
 
13.7%
64
 
8.4%
48
 
6.3%
46
 
6.0%
46
 
6.0%
14
 
1.8%
14
 
1.8%
12
 
1.6%
10
 
1.3%
Other values (144) 301
39.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 766
98.7%
Common 9
 
1.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
106
 
13.8%
105
 
13.7%
64
 
8.4%
48
 
6.3%
46
 
6.0%
46
 
6.0%
14
 
1.8%
14
 
1.8%
12
 
1.6%
10
 
1.3%
Other values (144) 301
39.3%
Common
ValueCountFrequency (%)
5
55.6%
) 2
 
22.2%
( 2
 
22.2%
Latin
ValueCountFrequency (%)
s 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 766
98.7%
ASCII 10
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
106
 
13.8%
105
 
13.7%
64
 
8.4%
48
 
6.3%
46
 
6.0%
46
 
6.0%
14
 
1.8%
14
 
1.8%
12
 
1.6%
10
 
1.3%
Other values (144) 301
39.3%
ASCII
ValueCountFrequency (%)
5
50.0%
) 2
 
20.0%
( 2
 
20.0%
s 1
 
10.0%

최종수정시점
Date

UNIQUE 

Distinct109
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1004.0 B
Minimum2009-01-22 11:46:22
Maximum2023-06-22 17:49:40
2024-04-17T18:55:34.931978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:55:35.066176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
I
64 
U
45 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 64
58.7%
U 45
41.3%

Length

2024-04-17T18:55:35.462815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:55:35.542328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 64
58.7%
u 45
41.3%
Distinct55
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Memory size1004.0 B
Minimum2018-08-31 23:59:59
Maximum2023-06-24 00:19:17
2024-04-17T18:55:35.641730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:55:35.761115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
안마원
60 
안마시술소
49 

Length

Max length5
Median length3
Mean length3.8990826
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안마시술소
2nd row안마원
3rd row안마원
4th row안마원
5th row안마원

Common Values

ValueCountFrequency (%)
안마원 60
55.0%
안마시술소 49
45.0%

Length

2024-04-17T18:55:35.890912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:55:35.987765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마원 60
55.0%
안마시술소 49
45.0%

좌표정보(X)
Real number (ℝ)

Distinct102
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean342308.55
Minimum330472.77
Maximum353893.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T18:55:36.084497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330472.77
5-th percentile334562.46
Q1339558.11
median341936.77
Q3346183.08
95-th percentile348339.41
Maximum353893.91
Range23421.134
Interquartile range (IQR)6624.9615

Descriptive statistics

Standard deviation4638.7029
Coefficient of variation (CV)0.013551233
Kurtosis-0.06179273
Mean342308.55
Median Absolute Deviation (MAD)3188.0062
Skewness-0.0072604939
Sum37311632
Variance21517564
MonotonicityNot monotonic
2024-04-17T18:55:36.204232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
346183.075894238 3
 
2.8%
346030.972206818 2
 
1.8%
334336.619602736 2
 
1.8%
335948.027345208 2
 
1.8%
339608.217909205 2
 
1.8%
343780.38965769 2
 
1.8%
353893.90529968 1
 
0.9%
338759.378902782 1
 
0.9%
338763.996778625 1
 
0.9%
334570.908255753 1
 
0.9%
Other values (92) 92
84.4%
ValueCountFrequency (%)
330472.771477673 1
0.9%
331786.68650094 1
0.9%
333384.544980179 1
0.9%
334336.619602736 2
1.8%
334556.819846333 1
0.9%
334570.908255753 1
0.9%
334612.020255757 1
0.9%
335894.398545255 1
0.9%
335913.906004401 1
0.9%
335921.019181309 1
0.9%
ValueCountFrequency (%)
353893.90529968 1
0.9%
353283.817833224 1
0.9%
352879.759293632 1
0.9%
352448.450209963 1
0.9%
350468.199860886 1
0.9%
348533.907955045 1
0.9%
348047.673813359 1
0.9%
348044.25097789 1
0.9%
347745.764729053 1
0.9%
347517.490031648 1
0.9%

좌표정보(Y)
Real number (ℝ)

Distinct102
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263015.8
Minimum244554.29
Maximum272532.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T18:55:36.320261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244554.29
5-th percentile258018.36
Q1261211.8
median262666.76
Q3265058.59
95-th percentile270000.29
Maximum272532.5
Range27978.206
Interquartile range (IQR)3846.7885

Descriptive statistics

Standard deviation4101.6211
Coefficient of variation (CV)0.015594581
Kurtosis6.1696911
Mean263015.8
Median Absolute Deviation (MAD)1938.1642
Skewness-1.097498
Sum28668722
Variance16823296
MonotonicityNot monotonic
2024-04-17T18:55:36.440739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265851.019832215 3
 
2.8%
265058.585127789 2
 
1.8%
261291.212786605 2
 
1.8%
262530.582893126 2
 
1.8%
258018.357722032 2
 
1.8%
264381.00710636 2
 
1.8%
261327.132869664 1
 
0.9%
260740.824801629 1
 
0.9%
260713.114351084 1
 
0.9%
260706.1221927 1
 
0.9%
Other values (92) 92
84.4%
ValueCountFrequency (%)
244554.291475551 1
0.9%
245132.142997977 1
0.9%
257501.80233092 1
0.9%
257537.257373368 1
0.9%
257936.142748099 1
0.9%
258018.357722032 2
1.8%
258264.793032532 1
0.9%
258301.955193712 1
0.9%
258572.019825526 1
0.9%
259247.801326635 1
0.9%
ValueCountFrequency (%)
272532.497121826 1
0.9%
272489.775106816 1
0.9%
272478.947342799 1
0.9%
271660.604411499 1
0.9%
270555.908770129 1
0.9%
270554.290764299 1
0.9%
269169.287620815 1
0.9%
269002.509520997 1
0.9%
268689.869778514 1
0.9%
268307.145144458 1
0.9%
Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
안마원
60 
안마시술소
49 

Length

Max length5
Median length3
Mean length3.8990826
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안마시술소
2nd row안마원
3rd row안마원
4th row안마원
5th row안마원

Common Values

ValueCountFrequency (%)
안마원 60
55.0%
안마시술소 49
45.0%

Length

2024-04-17T18:55:36.573051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:55:36.664248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마원 60
55.0%
안마시술소 49
45.0%

직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)9.7%
Missing6
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean2.9126214
Minimum0
Maximum95
Zeros7
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T18:55:36.740326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum95
Range95
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.2959055
Coefficient of variation (CV)3.1915942
Kurtosis97.051688
Mean2.9126214
Median Absolute Deviation (MAD)1
Skewness9.723176
Sum300
Variance86.413859
MonotonicityNot monotonic
2024-04-17T18:55:36.841306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 41
37.6%
1 32
29.4%
3 13
 
11.9%
0 7
 
6.4%
4 5
 
4.6%
9 1
 
0.9%
10 1
 
0.9%
5 1
 
0.9%
95 1
 
0.9%
8 1
 
0.9%
(Missing) 6
 
5.5%
ValueCountFrequency (%)
0 7
 
6.4%
1 32
29.4%
2 41
37.6%
3 13
 
11.9%
4 5
 
4.6%
5 1
 
0.9%
8 1
 
0.9%
9 1
 
0.9%
10 1
 
0.9%
95 1
 
0.9%
ValueCountFrequency (%)
95 1
 
0.9%
10 1
 
0.9%
9 1
 
0.9%
8 1
 
0.9%
5 1
 
0.9%
4 5
 
4.6%
3 13
 
11.9%
2 41
37.6%
1 32
29.4%
0 7
 
6.4%
Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
86 
0
23 

Length

Max length4
Median length4
Mean length3.3669725
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
78.9%
0 23
 
21.1%

Length

2024-04-17T18:55:36.957178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:55:37.050428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
78.9%
0 23
 
21.1%

보조직원수
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
86 
0
23 

Length

Max length4
Median length4
Mean length3.3669725
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
78.9%
0 23
 
21.1%

Length

2024-04-17T18:55:37.156107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:55:37.253772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
78.9%
0 23
 
21.1%
Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
86 
0
23 

Length

Max length4
Median length4
Mean length3.3669725
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
78.9%
0 23
 
21.1%

Length

2024-04-17T18:55:37.343140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:55:37.440421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
78.9%
0 23
 
21.1%

기타직원수
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
86 
0
23 

Length

Max length4
Median length4
Mean length3.3669725
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
78.9%
0 23
 
21.1%

Length

2024-04-17T18:55:37.536990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:55:37.633849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
78.9%
0 23
 
21.1%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)28.0%
Missing27
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean8.9268293
Minimum0
Maximum133
Zeros11
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T18:55:37.723142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q312
95-th percentile18.95
Maximum133
Range133
Interquartile range (IQR)10

Descriptive statistics

Standard deviation15.105212
Coefficient of variation (CV)1.6921139
Kurtosis57.467523
Mean8.9268293
Median Absolute Deviation (MAD)5
Skewness6.9966975
Sum732
Variance228.16742
MonotonicityNot monotonic
2024-04-17T18:55:37.855503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 11
10.1%
1 9
 
8.3%
10 8
 
7.3%
12 6
 
5.5%
8 6
 
5.5%
13 5
 
4.6%
2 5
 
4.6%
3 4
 
3.7%
9 4
 
3.7%
5 4
 
3.7%
Other values (13) 20
18.3%
(Missing) 27
24.8%
ValueCountFrequency (%)
0 11
10.1%
1 9
8.3%
2 5
4.6%
3 4
 
3.7%
4 2
 
1.8%
5 4
 
3.7%
6 2
 
1.8%
7 3
 
2.8%
8 6
5.5%
9 4
 
3.7%
ValueCountFrequency (%)
133 1
 
0.9%
23 1
 
0.9%
22 1
 
0.9%
20 1
 
0.9%
19 1
 
0.9%
18 2
 
1.8%
17 2
 
1.8%
16 1
 
0.9%
14 1
 
0.9%
13 5
4.6%

욕실면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
77 
0.0
29 
37.0
 
1
8.5
 
1
808.08
 
1

Length

Max length6
Median length4
Mean length3.7431193
Min length3

Unique

Unique3 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 77
70.6%
0.0 29
 
26.6%
37.0 1
 
0.9%
8.5 1
 
0.9%
808.08 1
 
0.9%

Length

2024-04-17T18:55:37.993473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:55:38.087302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
70.6%
0.0 29
 
26.6%
37.0 1
 
0.9%
8.5 1
 
0.9%
808.08 1
 
0.9%

총면적
Real number (ℝ)

Distinct102
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2705.1566
Minimum1
Maximum269055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-17T18:55:38.193603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.92
Q182
median181.43
Q3344
95-th percentile671.228
Maximum269055
Range269054
Interquartile range (IQR)262

Descriptive statistics

Standard deviation25748.616
Coefficient of variation (CV)9.5183459
Kurtosis108.98766
Mean2705.1566
Median Absolute Deviation (MAD)114.97
Skewness10.439429
Sum294862.07
Variance6.6299124 × 108
MonotonicityNot monotonic
2024-04-17T18:55:38.324109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
296.4 3
 
2.8%
75.0 2
 
1.8%
60.0 2
 
1.8%
285.64 2
 
1.8%
167.39 2
 
1.8%
154.77 2
 
1.8%
768.0 1
 
0.9%
519.29 1
 
0.9%
390.9 1
 
0.9%
251.0 1
 
0.9%
Other values (92) 92
84.4%
ValueCountFrequency (%)
1.0 1
0.9%
21.0 1
0.9%
22.1 1
0.9%
23.0 1
0.9%
32.13 1
0.9%
32.5 1
0.9%
36.05 1
0.9%
36.12 1
0.9%
44.0 1
0.9%
46.2 1
0.9%
ValueCountFrequency (%)
269055.0 1
0.9%
825.0 1
0.9%
808.08 1
0.9%
768.0 1
0.9%
727.8 1
0.9%
685.38 1
0.9%
650.0 1
0.9%
600.21 1
0.9%
543.0 1
0.9%
519.29 1
0.9%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명직원수자격증소유자수보조직원수시설관리자수기타직원수병상수욕실면적총면적
01의료유사업01_01_10_P3410000PHMB4200434100230424000012004-09-06<NA>3폐업3폐업2009-06-16<NA><NA><NA>053-425-0041<NA>700-020대구광역시 중구 향촌동 16번지대구광역시 중구 북성로 106-6 (향촌동)<NA>뉴대구안마시술소2009-06-16 13:43:50I2018-08-31 23:59:59안마시술소343880.629259264937.042894안마시술소2<NA><NA><NA><NA>23<NA>768.0
12의료유사업01_01_10_P3410000PHMB4200834100230424000012008-02-29<NA>3폐업3폐업2010-10-25<NA><NA><NA>053-818-0019<NA>700-803대구광역시 중구 남산동 923번지 16호대구광역시 중구 명륜로21길 84 (남산동)<NA>약손안마원2010-10-25 16:32:34I2018-08-31 23:59:59안마원343872.247792263822.337184안마원1<NA><NA><NA><NA>1<NA>63.0
23의료유사업01_01_10_P3410000PHMB4202134100230424000012021-03-12<NA>1영업/정상13영업중<NA><NA><NA><NA>053-212-9933<NA><NA>대구광역시 중구 남산동 2111-1대구광역시 중구 명덕로 179, 2층 (남산동)41968명덕건강안마원2021-03-25 09:37:05I2021-03-27 00:23:11안마원343533.242982263052.5128안마원2<NA><NA><NA><NA>4<NA>82.0
34의료유사업01_01_10_P3410000PHMB4201634100230424000012016-03-17<NA>1영업/정상13영업중<NA><NA><NA><NA>0534257695<NA><NA>대구광역시 중구 태평로1가 1번지 187호 2층 241호대구광역시 중구 태평로 177 (태평로1가, 태평라이프아파트)41903약손지압안마원2016-03-23 09:14:30I2018-08-31 23:59:59안마원344204.52247265028.313376안마원<NA><NA><NA><NA><NA><NA><NA>72.37
45의료유사업01_01_10_P3410000PHMB4200934100230424000012009-10-09<NA>1영업/정상13영업중<NA><NA><NA><NA>053-253-1889<NA>700-060대구광역시 중구 남일동 131번지 1호대구광역시 중구 중앙대로79길 13 (남일동)41935영광안마원2012-05-23 10:48:17I2018-08-31 23:59:59안마원343780.389658264381.007106안마원1<NA><NA><NA><NA><NA><NA>76.0
56의료유사업01_01_10_P3410000PHMB4201534100230424000012015-12-16<NA>1영업/정상13영업중<NA><NA><NA><NA>053-254-7579<NA><NA><NA>대구광역시 중구 중앙대로79길 13, 평강빌딩동 201호 (남일동, 근린생활시설)41935허준안마원2022-08-04 10:53:00U2022-08-06 02:40:00안마원343780.389658264381.007106안마원4000000.075.0
67의료유사업01_01_10_P3420000PHMB4201334200230424000012013-11-28<NA>3폐업3폐업2021-01-20<NA><NA><NA>053-755-6982<NA>701-830대구광역시 동구 신천4동 375번지 10호대구광역시 동구 동부로30길 35-1 (신천동)41248더원안마시술소2021-01-21 09:17:18U2021-01-23 02:40:00안마시술소347053.544234264961.010488안마시술소3<NA><NA><NA><NA>19<NA>383.45
78의료유사업01_01_10_P3420000PHMB4201434200230424000012014-11-24<NA>3폐업3폐업2019-03-04<NA><NA><NA>053-323-2131<NA>701-815대구광역시 동구 신암동 214번지 11호대구광역시 동구 아양로 50 (신암동)41208수안마시술소2019-03-05 08:51:21U2019-03-07 02:40:00안마시술소346183.075894265851.019832안마시술소2<NA><NA><NA><NA>10<NA>296.4
89의료유사업01_01_10_P3420000PHMB4201734200230424000022017-12-26<NA>3폐업3폐업2018-03-06<NA><NA><NA><NA><NA>41036<NA>대구광역시 동구 팔공로26길 52-1, 1층 (도동)41036참시원안마원2018-03-06 18:08:50I2018-08-31 23:59:59안마원348533.907955269002.509521안마원<NA><NA><NA><NA><NA><NA><NA>55.51
910의료유사업01_01_10_P3420000PHMB4200134200230424000012001-11-01<NA>3폐업3폐업2013-12-16<NA><NA><NA>053-751-0444<NA>701-020대구광역시 동구 신천동 381번지 3호대구광역시 동구 동부로30길 13 (신천동)701-828두꺼비안마시술소2013-12-26 10:52:59I2018-08-31 23:59:59안마시술소347049.715702265189.992075안마시술소2<NA><NA><NA><NA>7<NA>312.11
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