Overview

Dataset statistics

Number of variables37
Number of observations1132
Missing cells11664
Missing cells (%)27.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory345.0 KiB
Average record size in memory312.1 B

Variable types

Numeric5
Categorical13
Text7
DateTime6
Unsupported6

Dataset

Description24년03월_6270000_대구광역시_10_42_01_P_체력단련장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106550&dataSetDetailId=DDI_0000106566&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 is highly imbalanced (99.0%)Imbalance
보험가입여부코드 is highly imbalanced (57.5%)Imbalance
건축물동수 is highly imbalanced (50.5%)Imbalance
회원모집총인원 is highly imbalanced (50.6%)Imbalance
인허가취소일자 has 1132 (100.0%) missing valuesMissing
폐업일자 has 652 (57.6%) missing valuesMissing
휴업시작일자 has 1130 (99.8%) missing valuesMissing
휴업종료일자 has 1130 (99.8%) missing valuesMissing
재개업일자 has 1132 (100.0%) missing valuesMissing
소재지전화 has 364 (32.2%) missing valuesMissing
소재지면적 has 1132 (100.0%) missing valuesMissing
소재지우편번호 has 684 (60.4%) missing valuesMissing
소재지전체주소 has 25 (2.2%) missing valuesMissing
도로명전체주소 has 41 (3.6%) missing valuesMissing
도로명우편번호 has 305 (26.9%) missing valuesMissing
업태구분명 has 1132 (100.0%) missing valuesMissing
좌표정보(X) has 20 (1.8%) missing valuesMissing
좌표정보(Y) has 20 (1.8%) missing valuesMissing
건축물연면적 has 501 (44.3%) missing valuesMissing
세부업종명 has 1132 (100.0%) missing valuesMissing
법인명 has 1132 (100.0%) missing valuesMissing
개방자치단체코드 is highly skewed (γ1 = 26.46952247)Skewed
번호 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물연면적 has 330 (29.2%) zerosZeros

Reproduction

Analysis started2024-04-29 12:11:14.614695
Analysis finished2024-04-29 12:11:15.783566
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1132
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean566.5
Minimum1
Maximum1132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-29T21:11:15.856932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile57.55
Q1283.75
median566.5
Q3849.25
95-th percentile1075.45
Maximum1132
Range1131
Interquartile range (IQR)565.5

Descriptive statistics

Standard deviation326.92456
Coefficient of variation (CV)0.57709542
Kurtosis-1.2
Mean566.5
Median Absolute Deviation (MAD)283
Skewness0
Sum641278
Variance106879.67
MonotonicityStrictly increasing
2024-04-29T21:11:16.114577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
754 1
 
0.1%
760 1
 
0.1%
759 1
 
0.1%
758 1
 
0.1%
757 1
 
0.1%
756 1
 
0.1%
755 1
 
0.1%
753 1
 
0.1%
762 1
 
0.1%
Other values (1122) 1122
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1132 1
0.1%
1131 1
0.1%
1130 1
0.1%
1129 1
0.1%
1128 1
0.1%
1127 1
0.1%
1126 1
0.1%
1125 1
0.1%
1124 1
0.1%
1123 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
체력단련장업
1132 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 1132
100.0%

Length

2024-04-29T21:11:16.225932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:16.304132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 1132
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
10_42_01_P
1132 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10_42_01_P
2nd row10_42_01_P
3rd row10_42_01_P
4th row10_42_01_P
5th row10_42_01_P

Common Values

ValueCountFrequency (%)
10_42_01_P 1132
100.0%

Length

2024-04-29T21:11:16.390614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:16.470131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_42_01_p 1132
100.0%

개방자치단체코드
Real number (ℝ)

SKEWED 

Distinct9
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3451299.5
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-29T21:11:16.545767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3460000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation54418.959
Coefficient of variation (CV)0.015767672
Kurtosis823.23117
Mean3451299.5
Median Absolute Deviation (MAD)10000
Skewness26.469522
Sum3.906871 × 109
Variance2.9614231 × 109
MonotonicityIncreasing
2024-04-29T21:11:16.654815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3460000 282
24.9%
3470000 236
20.8%
3450000 186
16.4%
3420000 149
13.2%
3410000 90
 
8.0%
3480000 69
 
6.1%
3440000 62
 
5.5%
3430000 57
 
5.0%
5141000 1
 
0.1%
ValueCountFrequency (%)
3410000 90
 
8.0%
3420000 149
13.2%
3430000 57
 
5.0%
3440000 62
 
5.5%
3450000 186
16.4%
3460000 282
24.9%
3470000 236
20.8%
3480000 69
 
6.1%
5141000 1
 
0.1%
ValueCountFrequency (%)
5141000 1
 
0.1%
3480000 69
 
6.1%
3470000 236
20.8%
3460000 282
24.9%
3450000 186
16.4%
3440000 62
 
5.5%
3430000 57
 
5.0%
3420000 149
13.2%
3410000 90
 
8.0%

관리번호
Text

Distinct332
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-04-29T21:11:16.844749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters22640
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

Unique80 ?
Unique (%)7.1%

Sample

1st rowCDFH3301062018000001
2nd rowCDFH3301062007000003
3rd rowCDFH3301062008000004
4th rowCDFH3301062022000005
5th rowCDFH3301062023000003
ValueCountFrequency (%)
cdfh3301062007000001 8
 
0.7%
cdfh3301062016000001 8
 
0.7%
cdfh3301062022000001 8
 
0.7%
cdfh3301062014000001 8
 
0.7%
cdfh3301062019000002 8
 
0.7%
cdfh3301062003000001 8
 
0.7%
cdfh3301062020000001 8
 
0.7%
cdfh3301062015000001 8
 
0.7%
cdfh3301061999000001 8
 
0.7%
cdfh3301062017000001 8
 
0.7%
Other values (322) 1052
92.9%
2024-04-29T21:11:17.152144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9298
41.1%
3 2579
 
11.4%
1 2107
 
9.3%
2 1782
 
7.9%
6 1308
 
5.8%
C 1132
 
5.0%
D 1132
 
5.0%
F 1132
 
5.0%
H 1132
 
5.0%
9 353
 
1.6%
Other values (4) 685
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18112
80.0%
Uppercase Letter 4528
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9298
51.3%
3 2579
 
14.2%
1 2107
 
11.6%
2 1782
 
9.8%
6 1308
 
7.2%
9 353
 
1.9%
4 218
 
1.2%
5 197
 
1.1%
7 143
 
0.8%
8 127
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 1132
25.0%
D 1132
25.0%
F 1132
25.0%
H 1132
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18112
80.0%
Latin 4528
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9298
51.3%
3 2579
 
14.2%
1 2107
 
11.6%
2 1782
 
9.8%
6 1308
 
7.2%
9 353
 
1.9%
4 218
 
1.2%
5 197
 
1.1%
7 143
 
0.8%
8 127
 
0.7%
Latin
ValueCountFrequency (%)
C 1132
25.0%
D 1132
25.0%
F 1132
25.0%
H 1132
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9298
41.1%
3 2579
 
11.4%
1 2107
 
9.3%
2 1782
 
7.9%
6 1308
 
5.8%
C 1132
 
5.0%
D 1132
 
5.0%
F 1132
 
5.0%
H 1132
 
5.0%
9 353
 
1.6%
Other values (4) 685
 
3.0%

인허가일자
Date

Distinct1021
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Minimum1990-06-15 00:00:00
Maximum2024-03-25 00:00:00
2024-04-29T21:11:17.295531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:17.430347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1132
Missing (%)100.0%
Memory size10.1 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
1
649 
3
407 
4
74 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 649
57.3%
3 407
36.0%
4 74
 
6.5%
2 2
 
0.2%

Length

2024-04-29T21:11:17.550917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:17.639954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 649
57.3%
3 407
36.0%
4 74
 
6.5%
2 2
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
영업/정상
649 
폐업
407 
취소/말소/만료/정지/중지
74 
휴업
 
2

Length

Max length14
Median length5
Mean length4.504417
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 649
57.3%
폐업 407
36.0%
취소/말소/만료/정지/중지 74
 
6.5%
휴업 2
 
0.2%

Length

2024-04-29T21:11:17.747645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:17.872064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 649
57.3%
폐업 407
36.0%
취소/말소/만료/정지/중지 74
 
6.5%
휴업 2
 
0.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
13
649 
3
404 
35
74 
34
 
3
2
 
2

Length

Max length2
Median length2
Mean length1.6413428
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 649
57.3%
3 404
35.7%
35 74
 
6.5%
34 3
 
0.3%
2 2
 
0.2%

Length

2024-04-29T21:11:17.980215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:18.077975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 649
57.3%
3 404
35.7%
35 74
 
6.5%
34 3
 
0.3%
2 2
 
0.2%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
영업중
649 
폐업
404 
직권말소
74 
영업장폐쇄
 
3
휴업
 
2

Length

Max length5
Median length3
Mean length2.7120141
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 649
57.3%
폐업 404
35.7%
직권말소 74
 
6.5%
영업장폐쇄 3
 
0.3%
휴업 2
 
0.2%

Length

2024-04-29T21:11:18.184463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:18.283286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 649
57.3%
폐업 404
35.7%
직권말소 74
 
6.5%
영업장폐쇄 3
 
0.3%
휴업 2
 
0.2%

폐업일자
Date

MISSING 

Distinct397
Distinct (%)82.7%
Missing652
Missing (%)57.6%
Memory size9.0 KiB
Minimum1998-12-31 00:00:00
Maximum2024-03-12 00:00:00
2024-04-29T21:11:18.392139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:18.529379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing1130
Missing (%)99.8%
Memory size9.0 KiB
Minimum2018-05-29 00:00:00
Maximum2023-12-20 00:00:00
2024-04-29T21:11:18.630764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:18.721044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing1130
Missing (%)99.8%
Memory size9.0 KiB
Minimum2020-05-29 00:00:00
Maximum2030-12-31 00:00:00
2024-04-29T21:11:18.816153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:18.901945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1132
Missing (%)100.0%
Memory size10.1 KiB

소재지전화
Text

MISSING 

Distinct743
Distinct (%)96.7%
Missing364
Missing (%)32.2%
Memory size9.0 KiB
2024-04-29T21:11:19.150538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.497396
Min length7

Characters and Unicode

Total characters8062
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique718 ?
Unique (%)93.5%

Sample

1st row053-254-4724
2nd row0507-1425-2446
3rd row053-421-3311
4th row0507-1355-7410
5th row0532532428
ValueCountFrequency (%)
323-2209 2
 
0.3%
053-754-7744 2
 
0.3%
053-351-8555 2
 
0.3%
053-953-3188 2
 
0.3%
354-6007 2
 
0.3%
353-2442 2
 
0.3%
943-0950 2
 
0.3%
741-6646 2
 
0.3%
641-0048 2
 
0.3%
070-8911-0123 2
 
0.3%
Other values (733) 748
97.4%
2024-04-29T21:11:19.518394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1172
14.5%
5 1137
14.1%
0 1038
12.9%
3 977
12.1%
7 621
7.7%
6 605
7.5%
2 553
6.9%
1 516
6.4%
9 495
6.1%
8 478
5.9%
Other values (5) 470
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6881
85.4%
Dash Punctuation 1172
 
14.5%
Close Punctuation 4
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1137
16.5%
0 1038
15.1%
3 977
14.2%
7 621
9.0%
6 605
8.8%
2 553
8.0%
1 516
7.5%
9 495
7.2%
8 478
6.9%
4 461
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 1172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8062
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1172
14.5%
5 1137
14.1%
0 1038
12.9%
3 977
12.1%
7 621
7.7%
6 605
7.5%
2 553
6.9%
1 516
6.4%
9 495
6.1%
8 478
5.9%
Other values (5) 470
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8062
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1172
14.5%
5 1137
14.1%
0 1038
12.9%
3 977
12.1%
7 621
7.7%
6 605
7.5%
2 553
6.9%
1 516
6.4%
9 495
6.1%
8 478
5.9%
Other values (5) 470
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1132
Missing (%)100.0%
Memory size10.1 KiB

소재지우편번호
Text

MISSING 

Distinct263
Distinct (%)58.7%
Missing684
Missing (%)60.4%
Memory size9.0 KiB
2024-04-29T21:11:19.802003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters3136
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

Unique154 ?
Unique (%)34.4%

Sample

1st row700-111
2nd row700-020
3rd row700-440
4th row700-805
5th row700-719
ValueCountFrequency (%)
704-803 8
 
1.8%
706-170 7
 
1.6%
700-805 5
 
1.1%
704-928 5
 
1.1%
705-802 5
 
1.1%
704-808 4
 
0.9%
701-802 4
 
0.9%
702-886 4
 
0.9%
701-806 4
 
0.9%
703-801 4
 
0.9%
Other values (253) 398
88.8%
2024-04-29T21:11:20.245811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 662
21.1%
7 502
16.0%
- 448
14.3%
8 365
11.6%
1 257
 
8.2%
4 210
 
6.7%
2 203
 
6.5%
3 169
 
5.4%
6 120
 
3.8%
5 109
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2688
85.7%
Dash Punctuation 448
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 662
24.6%
7 502
18.7%
8 365
13.6%
1 257
 
9.6%
4 210
 
7.8%
2 203
 
7.6%
3 169
 
6.3%
6 120
 
4.5%
5 109
 
4.1%
9 91
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 448
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3136
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 662
21.1%
7 502
16.0%
- 448
14.3%
8 365
11.6%
1 257
 
8.2%
4 210
 
6.7%
2 203
 
6.5%
3 169
 
5.4%
6 120
 
3.8%
5 109
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3136
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 662
21.1%
7 502
16.0%
- 448
14.3%
8 365
11.6%
1 257
 
8.2%
4 210
 
6.7%
2 203
 
6.5%
3 169
 
5.4%
6 120
 
3.8%
5 109
 
3.5%

소재지전체주소
Text

MISSING 

Distinct1057
Distinct (%)95.5%
Missing25
Missing (%)2.2%
Memory size9.0 KiB
2024-04-29T21:11:20.543536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length23.282746
Min length15

Characters and Unicode

Total characters25774
Distinct characters297
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1007 ?
Unique (%)91.0%

Sample

1st row대구광역시 중구 남산동 2387-7
2nd row대구광역시 중구 태평로1가 1-187 지하1층
3rd row대구광역시 중구 향촌동 63 (3층)
4th row대구광역시 중구 삼덕동2가 149-15 리바트
5th row대구광역시 중구 대봉동 758 대봉태왕아너스
ValueCountFrequency (%)
대구광역시 1107
22.0%
수성구 282
 
5.6%
달서구 213
 
4.2%
북구 185
 
3.7%
동구 149
 
3.0%
중구 90
 
1.8%
달성군 69
 
1.4%
남구 62
 
1.2%
범어동 60
 
1.2%
서구 56
 
1.1%
Other values (1434) 2766
54.9%
2024-04-29T21:11:20.970337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5003
19.4%
구 2166
 
8.4%
동 1278
 
5.0%
1 1208
 
4.7%
대 1203
 
4.7%
시 1137
 
4.4%
광 1110
 
4.3%
역 1110
 
4.3%
- 889
 
3.4%
2 689
 
2.7%
Other values (287) 9981
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14470
56.1%
Decimal Number 5274
 
20.5%
Space Separator 5003
 
19.4%
Dash Punctuation 889
 
3.4%
Uppercase Letter 38
 
0.1%
Other Punctuation 32
 
0.1%
Close Punctuation 28
 
0.1%
Open Punctuation 28
 
0.1%
Lowercase Letter 7
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2166
15.0%
동 1278
 
8.8%
대 1203
 
8.3%
시 1137
 
7.9%
광 1110
 
7.7%
역 1110
 
7.7%
지 639
 
4.4%
번 529
 
3.7%
성 480
 
3.3%
수 344
 
2.4%
Other values (247) 4474
30.9%
Uppercase Letter
ValueCountFrequency (%)
B 9
23.7%
M 4
10.5%
S 4
10.5%
T 3
 
7.9%
L 3
 
7.9%
N 2
 
5.3%
K 2
 
5.3%
H 2
 
5.3%
G 2
 
5.3%
D 1
 
2.6%
Other values (6) 6
15.8%
Decimal Number
ValueCountFrequency (%)
1 1208
22.9%
2 689
13.1%
3 565
10.7%
4 534
10.1%
5 432
 
8.2%
0 408
 
7.7%
6 392
 
7.4%
7 364
 
6.9%
9 341
 
6.5%
8 341
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
w 1
14.3%
r 1
14.3%
o 1
14.3%
i 1
14.3%
d 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 27
84.4%
. 4
 
12.5%
/ 1
 
3.1%
Space Separator
ValueCountFrequency (%)
5003
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 889
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14470
56.1%
Common 11259
43.7%
Latin 45
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2166
15.0%
동 1278
 
8.8%
대 1203
 
8.3%
시 1137
 
7.9%
광 1110
 
7.7%
역 1110
 
7.7%
지 639
 
4.4%
번 529
 
3.7%
성 480
 
3.3%
수 344
 
2.4%
Other values (247) 4474
30.9%
Latin
ValueCountFrequency (%)
B 9
20.0%
M 4
 
8.9%
S 4
 
8.9%
T 3
 
6.7%
L 3
 
6.7%
N 2
 
4.4%
K 2
 
4.4%
e 2
 
4.4%
H 2
 
4.4%
G 2
 
4.4%
Other values (12) 12
26.7%
Common
ValueCountFrequency (%)
5003
44.4%
1 1208
 
10.7%
- 889
 
7.9%
2 689
 
6.1%
3 565
 
5.0%
4 534
 
4.7%
5 432
 
3.8%
0 408
 
3.6%
6 392
 
3.5%
7 364
 
3.2%
Other values (8) 775
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14470
56.1%
ASCII 11304
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5003
44.3%
1 1208
 
10.7%
- 889
 
7.9%
2 689
 
6.1%
3 565
 
5.0%
4 534
 
4.7%
5 432
 
3.8%
0 408
 
3.6%
6 392
 
3.5%
7 364
 
3.2%
Other values (30) 820
 
7.3%
Hangul
ValueCountFrequency (%)
구 2166
15.0%
동 1278
 
8.8%
대 1203
 
8.3%
시 1137
 
7.9%
광 1110
 
7.7%
역 1110
 
7.7%
지 639
 
4.4%
번 529
 
3.7%
성 480
 
3.3%
수 344
 
2.4%
Other values (247) 4474
30.9%

도로명전체주소
Text

MISSING 

Distinct1063
Distinct (%)97.4%
Missing41
Missing (%)3.6%
Memory size9.0 KiB
2024-04-29T21:11:21.330094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length52
Mean length28.920257
Min length20

Characters and Unicode

Total characters31552
Distinct characters333
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1036 ?
Unique (%)95.0%

Sample

1st row대구광역시 중구 남산로 6, 3층 (남산동)
2nd row대구광역시 중구 태평로 177, 지하1층 (태평로1가)
3rd row대구광역시 중구 경상감영길 117-7, 3층 (향촌동)
4th row대구광역시 중구 공평로 18, 리바트 지하1층 (삼덕동2가)
5th row대구광역시 중구 동덕로 55, 111동 지하1층 (대봉동, 대봉태왕아너스)
ValueCountFrequency (%)
대구광역시 1091
 
16.8%
수성구 279
 
4.3%
달서구 235
 
3.6%
북구 183
 
2.8%
동구 143
 
2.2%
2층 121
 
1.9%
3층 114
 
1.8%
4층 94
 
1.5%
중구 72
 
1.1%
달구벌대로 63
 
1.0%
Other values (1381) 4085
63.0%
2024-04-29T21:11:21.846808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5559
 
17.6%
구 2302
 
7.3%
동 1463
 
4.6%
대 1418
 
4.5%
시 1130
 
3.6%
역 1099
 
3.5%
광 1094
 
3.5%
로 1094
 
3.5%
) 1048
 
3.3%
( 1048
 
3.3%
Other values (323) 14297
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18071
57.3%
Space Separator 5559
 
17.6%
Decimal Number 4719
 
15.0%
Close Punctuation 1048
 
3.3%
Open Punctuation 1048
 
3.3%
Other Punctuation 930
 
2.9%
Dash Punctuation 114
 
0.4%
Uppercase Letter 46
 
0.1%
Math Symbol 10
 
< 0.1%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2302
 
12.7%
동 1463
 
8.1%
대 1418
 
7.8%
시 1130
 
6.3%
역 1099
 
6.1%
광 1094
 
6.1%
로 1094
 
6.1%
층 666
 
3.7%
성 535
 
3.0%
달 404
 
2.2%
Other values (282) 6866
38.0%
Uppercase Letter
ValueCountFrequency (%)
B 12
26.1%
M 5
10.9%
S 5
10.9%
A 3
 
6.5%
L 3
 
6.5%
T 3
 
6.5%
N 2
 
4.3%
K 2
 
4.3%
G 2
 
4.3%
H 2
 
4.3%
Other values (7) 7
15.2%
Decimal Number
ValueCountFrequency (%)
1 911
19.3%
2 789
16.7%
3 599
12.7%
4 485
10.3%
0 424
9.0%
5 423
9.0%
6 330
 
7.0%
7 272
 
5.8%
8 251
 
5.3%
9 235
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
r 1
14.3%
w 1
14.3%
o 1
14.3%
d 1
14.3%
i 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 927
99.7%
. 2
 
0.2%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5559
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1048
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1048
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18071
57.3%
Common 13428
42.6%
Latin 53
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2302
 
12.7%
동 1463
 
8.1%
대 1418
 
7.8%
시 1130
 
6.3%
역 1099
 
6.1%
광 1094
 
6.1%
로 1094
 
6.1%
층 666
 
3.7%
성 535
 
3.0%
달 404
 
2.2%
Other values (282) 6866
38.0%
Latin
ValueCountFrequency (%)
B 12
22.6%
M 5
 
9.4%
S 5
 
9.4%
A 3
 
5.7%
L 3
 
5.7%
T 3
 
5.7%
N 2
 
3.8%
e 2
 
3.8%
K 2
 
3.8%
G 2
 
3.8%
Other values (13) 14
26.4%
Common
ValueCountFrequency (%)
5559
41.4%
) 1048
 
7.8%
( 1048
 
7.8%
, 927
 
6.9%
1 911
 
6.8%
2 789
 
5.9%
3 599
 
4.5%
4 485
 
3.6%
0 424
 
3.2%
5 423
 
3.2%
Other values (8) 1215
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18071
57.3%
ASCII 13481
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5559
41.2%
) 1048
 
7.8%
( 1048
 
7.8%
, 927
 
6.9%
1 911
 
6.8%
2 789
 
5.9%
3 599
 
4.4%
4 485
 
3.6%
0 424
 
3.1%
5 423
 
3.1%
Other values (31) 1268
 
9.4%
Hangul
ValueCountFrequency (%)
구 2302
 
12.7%
동 1463
 
8.1%
대 1418
 
7.8%
시 1130
 
6.3%
역 1099
 
6.1%
광 1094
 
6.1%
로 1094
 
6.1%
층 666
 
3.7%
성 535
 
3.0%
달 404
 
2.2%
Other values (282) 6866
38.0%

도로명우편번호
Text

MISSING 

Distinct455
Distinct (%)55.0%
Missing305
Missing (%)26.9%
Memory size9.0 KiB
2024-04-29T21:11:22.188647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0822249
Min length5

Characters and Unicode

Total characters4203
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

Unique267 ?
Unique (%)32.3%

Sample

1st row41972
2nd row41903
3rd row41918
4th row41940
5th row41954
ValueCountFrequency (%)
41423 17
 
2.1%
42274 10
 
1.2%
41560 10
 
1.2%
42038 8
 
1.0%
42760 8
 
1.0%
42197 7
 
0.8%
42175 7
 
0.8%
41026 6
 
0.7%
42620 6
 
0.7%
42612 6
 
0.7%
Other values (445) 742
89.7%
2024-04-29T21:11:22.649266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1074
25.6%
2 736
17.5%
1 625
14.9%
0 339
 
8.1%
7 284
 
6.8%
9 245
 
5.8%
6 228
 
5.4%
8 227
 
5.4%
5 217
 
5.2%
3 194
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4169
99.2%
Dash Punctuation 34
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1074
25.8%
2 736
17.7%
1 625
15.0%
0 339
 
8.1%
7 284
 
6.8%
9 245
 
5.9%
6 228
 
5.5%
8 227
 
5.4%
5 217
 
5.2%
3 194
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4203
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1074
25.6%
2 736
17.5%
1 625
14.9%
0 339
 
8.1%
7 284
 
6.8%
9 245
 
5.8%
6 228
 
5.4%
8 227
 
5.4%
5 217
 
5.2%
3 194
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4203
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1074
25.6%
2 736
17.5%
1 625
14.9%
0 339
 
8.1%
7 284
 
6.8%
9 245
 
5.8%
6 228
 
5.4%
8 227
 
5.4%
5 217
 
5.2%
3 194
 
4.6%

사업장명
Text

Distinct1049
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
2024-04-29T21:11:22.945153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length7.2932862
Min length2

Characters and Unicode

Total characters8256
Distinct characters511
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique984 ?
Unique (%)86.9%

Sample

1st row건강관리학과PT전문센터
2nd row태평휘트니스클럽
3rd row향촌하와이
4th row곧디짐
5th row피트온24
ValueCountFrequency (%)
휘트니스 47
 
2.8%
gym 45
 
2.7%
피트니스 26
 
1.6%
헬스 26
 
1.6%
짐 25
 
1.5%
트레이닝 13
 
0.8%
퍼스널트레이닝 12
 
0.7%
크로스핏 10
 
0.6%
나홀로짐 9
 
0.5%
퍼스널 9
 
0.5%
Other values (1176) 1455
86.8%
2024-04-29T21:11:23.361867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 823
 
10.0%
545
 
6.6%
헬 342
 
4.1%
트 302
 
3.7%
니 220
 
2.7%
짐 205
 
2.5%
이 184
 
2.2%
휘 132
 
1.6%
피 126
 
1.5%
클 114
 
1.4%
Other values (501) 5263
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6475
78.4%
Uppercase Letter 700
 
8.5%
Space Separator 545
 
6.6%
Lowercase Letter 264
 
3.2%
Decimal Number 91
 
1.1%
Open Punctuation 64
 
0.8%
Close Punctuation 64
 
0.8%
Other Punctuation 46
 
0.6%
Dash Punctuation 6
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 823
 
12.7%
헬 342
 
5.3%
트 302
 
4.7%
니 220
 
3.4%
짐 205
 
3.2%
이 184
 
2.8%
휘 132
 
2.0%
피 126
 
1.9%
클 114
 
1.8%
럽 101
 
1.6%
Other values (429) 3926
60.6%
Uppercase Letter
ValueCountFrequency (%)
M 84
12.0%
T 81
11.6%
G 77
11.0%
Y 75
 
10.7%
P 46
 
6.6%
E 38
 
5.4%
S 34
 
4.9%
I 27
 
3.9%
F 26
 
3.7%
A 24
 
3.4%
Other values (14) 188
26.9%
Lowercase Letter
ValueCountFrequency (%)
e 30
11.4%
o 24
 
9.1%
m 21
 
8.0%
i 21
 
8.0%
y 21
 
8.0%
s 18
 
6.8%
r 18
 
6.8%
n 16
 
6.1%
t 14
 
5.3%
d 13
 
4.9%
Other values (13) 68
25.8%
Decimal Number
ValueCountFrequency (%)
2 28
30.8%
4 21
23.1%
3 10
 
11.0%
5 8
 
8.8%
1 7
 
7.7%
0 5
 
5.5%
9 5
 
5.5%
7 3
 
3.3%
8 2
 
2.2%
6 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 15
32.6%
& 12
26.1%
' 8
17.4%
: 3
 
6.5%
# 3
 
6.5%
· 2
 
4.3%
＆ 2
 
4.3%
, 1
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 63
98.4%
[ 1
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 63
98.4%
] 1
 
1.6%
Space Separator
ValueCountFrequency (%)
545
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6475
78.4%
Latin 964
 
11.7%
Common 817
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 823
 
12.7%
헬 342
 
5.3%
트 302
 
4.7%
니 220
 
3.4%
짐 205
 
3.2%
이 184
 
2.8%
휘 132
 
2.0%
피 126
 
1.9%
클 114
 
1.8%
럽 101
 
1.6%
Other values (429) 3926
60.6%
Latin
ValueCountFrequency (%)
M 84
 
8.7%
T 81
 
8.4%
G 77
 
8.0%
Y 75
 
7.8%
P 46
 
4.8%
E 38
 
3.9%
S 34
 
3.5%
e 30
 
3.1%
I 27
 
2.8%
F 26
 
2.7%
Other values (37) 446
46.3%
Common
ValueCountFrequency (%)
545
66.7%
( 63
 
7.7%
) 63
 
7.7%
2 28
 
3.4%
4 21
 
2.6%
. 15
 
1.8%
& 12
 
1.5%
3 10
 
1.2%
5 8
 
1.0%
' 8
 
1.0%
Other values (15) 44
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6475
78.4%
ASCII 1777
 
21.5%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 823
 
12.7%
헬 342
 
5.3%
트 302
 
4.7%
니 220
 
3.4%
짐 205
 
3.2%
이 184
 
2.8%
휘 132
 
2.0%
피 126
 
1.9%
클 114
 
1.8%
럽 101
 
1.6%
Other values (429) 3926
60.6%
ASCII
ValueCountFrequency (%)
545
30.7%
M 84
 
4.7%
T 81
 
4.6%
G 77
 
4.3%
Y 75
 
4.2%
( 63
 
3.5%
) 63
 
3.5%
P 46
 
2.6%
E 38
 
2.1%
S 34
 
1.9%
Other values (60) 671
37.8%
None
ValueCountFrequency (%)
· 2
50.0%
＆ 2
50.0%

최종수정시점
Date

UNIQUE 

Distinct1132
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Minimum2003-01-17 14:43:53
Maximum2024-03-29 10:32:47
2024-04-29T21:11:23.492275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:23.617131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
U
576 
I
556 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 576
50.9%
I 556
49.1%

Length

2024-04-29T21:11:23.743943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:23.838089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 576
50.9%
i 556
49.1%

데이터갱신일자
Date

Distinct468
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Minimum2018-08-31 23:59:59
Maximum2024-03-31 02:40:00
2024-04-29T21:11:24.186793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:11:24.304001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1132
Missing (%)100.0%
Memory size10.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct951
Distinct (%)85.5%
Missing20
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean343546.06
Minimum328158.47
Maximum357908.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-29T21:11:24.425154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328158.47
5-th percentile334782.43
Q1339620.47
median344062.55
Q3346786.49
95-th percentile354083.91
Maximum357908.12
Range29749.656
Interquartile range (IQR)7166.0226

Descriptive statistics

Standard deviation5473.0435
Coefficient of variation (CV)0.015931033
Kurtosis-0.083485295
Mean343546.06
Median Absolute Deviation (MAD)3717.746
Skewness0.032071784
Sum3.8202322 × 108
Variance29954205
MonotonicityNot monotonic
2024-04-29T21:11:24.542736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
348085.350927672 4
 
0.4%
339459.676122441 4
 
0.4%
338740.173448837 4
 
0.4%
344223.636477027 3
 
0.3%
341464.797753708 3
 
0.3%
340733.007529089 3
 
0.3%
340423.569434022 3
 
0.3%
343629.420048816 3
 
0.3%
343643.019629756 3
 
0.3%
346313.828940465 3
 
0.3%
Other values (941) 1079
95.3%
(Missing) 20
 
1.8%
ValueCountFrequency (%)
328158.467374877 1
0.1%
328175.443137101 1
0.1%
328270.879602353 1
0.1%
329347.962160918 1
0.1%
330111.303555631 1
0.1%
330265.677983465 1
0.1%
330310.686053813 1
0.1%
330338.711440998 1
0.1%
330672.657583009 1
0.1%
330712.904908793 1
0.1%
ValueCountFrequency (%)
357908.123249657 1
0.1%
357794.702030084 2
0.2%
356601.163559925 1
0.1%
356425.755844676 1
0.1%
356353.915440362 2
0.2%
356199.413439398 1
0.1%
355865.611497639 1
0.1%
355738.134502612 1
0.1%
355737.129428969 2
0.2%
355681.445460699 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct951
Distinct (%)85.5%
Missing20
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean263332.12
Minimum239796.55
Maximum304913.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-29T21:11:24.671674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239796.55
5-th percentile257596.65
Q1261287.77
median263272.78
Q3265348.51
95-th percentile271406.04
Maximum304913.19
Range65116.642
Interquartile range (IQR)4060.7387

Descriptive statistics

Standard deviation4531.1384
Coefficient of variation (CV)0.017206934
Kurtosis10.438396
Mean263332.12
Median Absolute Deviation (MAD)2027.6771
Skewness-0.2011006
Sum2.9282532 × 108
Variance20531215
MonotonicityNot monotonic
2024-04-29T21:11:24.791554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
269133.530896536 4
 
0.4%
271655.049731543 4
 
0.4%
257596.654862013 4
 
0.4%
264597.611088657 3
 
0.3%
261089.005763153 3
 
0.3%
272508.864165967 3
 
0.3%
271254.141137687 3
 
0.3%
266723.230082271 3
 
0.3%
266624.077298604 3
 
0.3%
267824.749165134 3
 
0.3%
Other values (941) 1079
95.3%
(Missing) 20
 
1.8%
ValueCountFrequency (%)
239796.547003674 1
0.1%
240404.234791848 1
0.1%
240827.291848095 1
0.1%
242604.778959053 1
0.1%
243572.356301531 1
0.1%
244467.090015024 1
0.1%
244538.33448851 1
0.1%
244539.353165436 1
0.1%
244590.362401311 1
0.1%
244657.178374737 1
0.1%
ValueCountFrequency (%)
304913.189154821 1
0.1%
273814.355430835 1
0.1%
273506.093893371 1
0.1%
272960.803625499 1
0.1%
272706.306988309 1
0.1%
272661.417303676 1
0.1%
272651.408529432 1
0.1%
272648.099804965 1
0.1%
272636.919043005 1
0.1%
272633.741088398 1
0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
체력단련장업
1132 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체력단련장업 1132
100.0%

Length

2024-04-29T21:11:24.918300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:25.004585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체력단련장업 1132
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
사립
1131 
공립
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
사립 1131
99.9%
공립 1
 
0.1%

Length

2024-04-29T21:11:25.087599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:25.169883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 1131
99.9%
공립 1
 
0.1%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
946 
0
181 
Y
 
5

Length

Max length4
Median length4
Mean length3.5070671
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> 946
83.6%
0 181
 
16.0%
Y 5
 
0.4%

Length

2024-04-29T21:11:25.267044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:25.362234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 946
83.6%
0 181
 
16.0%
y 5
 
0.4%

지도자수
Categorical

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
386 
1
365 
2
194 
0
180 
3
 
6

Length

Max length4
Median length1
Mean length2.0238516
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row2

Common Values

ValueCountFrequency (%)
<NA> 386
34.1%
1 365
32.2%
2 194
17.1%
0 180
15.9%
3 6
 
0.5%
30 1
 
0.1%

Length

2024-04-29T21:11:25.470234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:25.578166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 386
34.1%
1 365
32.2%
2 194
17.1%
0 180
15.9%
3 6
 
0.5%
30 1
 
0.1%

건축물동수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
635 
0
424 
1
69 
3
 
2
106
 
1

Length

Max length4
Median length4
Mean length2.6863958
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 635
56.1%
0 424
37.5%
1 69
 
6.1%
3 2
 
0.2%
106 1
 
0.1%
113 1
 
0.1%

Length

2024-04-29T21:11:25.690265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:25.797057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 635
56.1%
0 424
37.5%
1 69
 
6.1%
3 2
 
0.2%
106 1
 
0.1%
113 1
 
0.1%

건축물연면적
Real number (ℝ)

MISSING  ZEROS 

Distinct290
Distinct (%)46.0%
Missing501
Missing (%)44.3%
Infinite0
Infinite (%)0.0%
Mean1932.6983
Minimum0
Maximum86957.24
Zeros330
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size10.1 KiB
2024-04-29T21:11:25.911834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31257.12
95-th percentile7534.45
Maximum86957.24
Range86957.24
Interquartile range (IQR)1257.12

Descriptive statistics

Standard deviation7399.8787
Coefficient of variation (CV)3.8287811
Kurtosis95.155693
Mean1932.6983
Median Absolute Deviation (MAD)0
Skewness9.1288497
Sum1219532.6
Variance54758205
MonotonicityNot monotonic
2024-04-29T21:11:26.037035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 330
29.2%
863.61 2
 
0.2%
2987.32 2
 
0.2%
7615.81 2
 
0.2%
7930.82 2
 
0.2%
3142.8 2
 
0.2%
947.64 2
 
0.2%
9856.75 2
 
0.2%
6418.38 2
 
0.2%
225.0 2
 
0.2%
Other values (280) 283
25.0%
(Missing) 501
44.3%
ValueCountFrequency (%)
0.0 330
29.2%
99.0 1
 
0.1%
102.7 1
 
0.1%
104.3 1
 
0.1%
104.71 1
 
0.1%
107.14 1
 
0.1%
108.23 1
 
0.1%
122.58 1
 
0.1%
128.0 1
 
0.1%
130.0 1
 
0.1%
ValueCountFrequency (%)
86957.24 1
0.1%
86957.0 1
0.1%
84237.83 1
0.1%
74943.96 1
0.1%
45167.34 1
0.1%
29931.42 1
0.1%
23284.28 1
0.1%
22199.95 1
0.1%
20704.07 1
0.1%
18452.0 1
0.1%

회원모집총인원
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
<NA>
695 
0
434 
150
 
2
800
 
1

Length

Max length4
Median length4
Mean length2.8471731
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 695
61.4%
0 434
38.3%
150 2
 
0.2%
800 1
 
0.1%

Length

2024-04-29T21:11:26.166282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:11:26.265738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 695
61.4%
0 434
38.3%
150 2
 
0.2%
800 1
 
0.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1132
Missing (%)100.0%
Memory size10.1 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1132
Missing (%)100.0%
Memory size10.1 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
01체력단련장업10_42_01_P3410000CDFH33010620180000012018-06-04<NA>1영업/정상13영업중<NA><NA><NA><NA>053-254-4724<NA><NA>대구광역시 중구 남산동 2387-7대구광역시 중구 남산로 6, 3층 (남산동)41972건강관리학과PT전문센터2023-08-17 10:00:54U2023-08-19 02:40:00<NA>342925.666957263039.084623체력단련장업사립<NA>000.00<NA><NA>
12체력단련장업10_42_01_P3410000CDFH33010620070000032007-10-24<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-1425-2446<NA>700-111대구광역시 중구 태평로1가 1-187 지하1층대구광역시 중구 태평로 177, 지하1층 (태평로1가)41903태평휘트니스클럽2023-10-13 08:40:59U2023-10-15 02:40:00<NA>344204.52247265028.313376체력단련장업사립<NA>0029931.420<NA><NA>
23체력단련장업10_42_01_P3410000CDFH33010620080000042008-10-15<NA>1영업/정상13영업중<NA><NA><NA><NA>053-421-3311<NA>700-020대구광역시 중구 향촌동 63 (3층)대구광역시 중구 경상감영길 117-7, 3층 (향촌동)41918향촌하와이2023-10-13 08:41:28U2023-10-15 02:40:00<NA>343850.7822264779.878957체력단련장업사립<NA>000.00<NA><NA>
34체력단련장업10_42_01_P3410000CDFH33010620220000052022-07-08<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-1355-7410<NA><NA>대구광역시 중구 삼덕동2가 149-15 리바트대구광역시 중구 공평로 18, 리바트 지하1층 (삼덕동2가)41940곧디짐2023-10-13 08:35:30U2023-10-15 02:40:00<NA>344448.966631264007.418129체력단련장업사립<NA>100.00<NA><NA>
45체력단련장업10_42_01_P3410000CDFH33010620230000032023-12-19<NA>1영업/정상13영업중<NA><NA><NA><NA>0532532428<NA><NA>대구광역시 중구 대봉동 758 대봉태왕아너스대구광역시 중구 동덕로 55, 111동 지하1층 (대봉동, 대봉태왕아너스)41954피트온242023-12-20 10:33:55I2023-12-23 00:16:40<NA>344716.154417263356.833666체력단련장업사립<NA>200.00<NA><NA>
56체력단련장업10_42_01_P3410000CDFH33010620230000022023-12-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동2가 14대구광역시 중구 공평로8길 11-1, 3층 (삼덕동2가)41940하노버 메디칼 운동센터2023-12-11 09:53:07I2023-12-13 00:16:49<NA>344497.671773264179.776367체력단련장업사립<NA>100.00<NA><NA>
67체력단련장업10_42_01_P3410000CDFH33010620230000012023-12-08<NA>1영업/정상13영업중<NA><NA><NA><NA>053-252-7840<NA><NA>대구광역시 중구 남산동 654-1 반월당SK허브스카이아파트대구광역시 중구 중앙대로 323, 2층 (남산동, 반월당SK허브스카이아파트)41967피닉스짐2023-12-08 15:27:41I2023-12-10 00:16:51<NA>343770.758234263623.262721체력단련장업사립<NA>200.00<NA><NA>
78체력단련장업10_42_01_P3410000CDFH33010620230000042023-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA>0532569888<NA><NA>대구광역시 중구 대봉동 722-6대구광역시 중구 이천로 204-1, 5층 (대봉동)41955더피팅에잇2023-12-22 11:19:47I2023-12-24 00:17:00<NA>344379.235764263319.320504체력단련장업사립<NA>100.00<NA><NA>
89체력단련장업10_42_01_P3410000CDFH33010620180000032018-12-26<NA>1영업/정상13영업중<NA><NA><NA><NA>053-426-4222<NA><NA>대구광역시 중구 남산동 587-13번지대구광역시 중구 남산로8길 102, 2층 (남산동)41969남산피트니스2018-12-26 16:08:48I2018-12-28 02:20:30<NA>343502.395403263527.095228체력단련장업사립<NA>1<NA><NA><NA><NA><NA>
910체력단련장업10_42_01_P3410000CDFH33010620220000032022-05-19<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-1349-0098<NA><NA>대구광역시 중구 대봉동 162-34 대천빌딩대구광역시 중구 명덕로55길 1, 대천빌딩 3층 (대봉동)41956어썸핏 지비2023-10-13 08:56:14U2023-10-15 02:40:00<NA>344442.196016262913.12862체력단련장업사립<NA>100.00<NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
11221123체력단련장업10_42_01_P3480000CDFH33010620020000012002-02-22<NA>1영업/정상13영업중<NA><NA><NA><NA>053-587-6004<NA><NA>대구광역시 달성군 다사읍 서재리 87 4층대구광역시 달성군 다사읍 서재로 141, 4층42924서재헬스2021-10-05 11:56:50U2021-10-07 02:40:00<NA>335117.130093265028.48952체력단련장업사립<NA><NA><NA>472.01<NA><NA><NA>
11231124체력단련장업10_42_01_P3480000CDFH33010620080000052008-09-04<NA>1영업/정상13영업중<NA><NA><NA><NA>053-585-0100<NA><NA>대구광역시 달성군 다사읍 죽곡리 209번지대구광역시 달성군 다사읍 죽곡1길 16-642918휴림원 헬스클럽2020-05-22 20:12:57U2020-05-24 02:40:00<NA>332127.138155262907.017593체력단련장업사립<NA><NA><NA><NA><NA><NA><NA>
11241125체력단련장업10_42_01_P3480000CDFH33010620100000022010-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA>053-566-8989<NA><NA>대구광역시 달성군 화원읍 명곡리 254번지대구광역시 달성군 화원읍 명천로 257, 4층42960한샘사우나헬스2020-04-26 15:08:53U2020-04-28 02:40:00<NA>334702.441305256308.865022체력단련장업사립<NA>1<NA><NA><NA><NA><NA>
11251126체력단련장업10_42_01_P3480000CDFH33010620100000032010-05-07<NA>1영업/정상13영업중<NA><NA><NA><NA>053-593-2555<NA><NA>대구광역시 달성군 다사읍 매곡리 1548-2번지대구광역시 달성군 다사읍 대실역북로 9, 7층42914귀빈헬스2020-02-26 20:08:14U2020-02-28 02:40:00<NA>332387.88983262989.634243체력단련장업사립<NA>1<NA><NA><NA><NA><NA>
11261127체력단련장업10_42_01_P3480000CDFH33010620100000042010-07-21<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8991-4556<NA><NA>대구광역시 달성군 다사읍 매곡리 1546-11대구광역시 달성군 다사읍 달구벌대로 873, 5층42914제이제이휘트니스2020-11-19 17:49:36U2020-11-21 02:40:00<NA>332296.485893263030.522627체력단련장업사립<NA>1<NA><NA><NA><NA><NA>
11271128체력단련장업10_42_01_P3480000CDFH33010620130000012013-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA>053-587-0036<NA>711-812대구광역시 달성군 다사읍 죽곡리 1549-2번지대구광역시 달성군 다사읍 대실역북로2길 8-642913(주)선샤인 스포츠2016-06-30 09:23:18I2018-08-31 23:59:59<NA>332450.350918262928.872316체력단련장업사립<NA><NA>13466.28<NA><NA><NA>
11281129체력단련장업10_42_01_P3480000CDFH33010620140000012014-02-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>711-815대구광역시 달성군 다사읍 죽곡리 807-3대구광역시 달성군 다사읍 달구벌대로 87442918고짐(GO GYM) 다사 대실역점2022-10-12 10:58:14U2022-10-14 02:40:00<NA>332226.263646262968.382653체력단련장업사립<NA>3<NA><NA><NA><NA><NA>
11291130체력단련장업10_42_01_P3480000CDFH33010620140000022014-04-10<NA>1영업/정상13영업중<NA><NA><NA><NA>053-611-5959<NA><NA>대구광역시 달성군 구지면 응암리 1195-3번지대구광역시 달성군 구지면 과학마을로5길 3543008A.GYM2020-03-17 21:23:38U2020-03-19 02:40:00<NA>328158.467375240827.291848체력단련장업사립<NA>1<NA>1247.92<NA><NA><NA>
11301131체력단련장업10_42_01_P3480000CDFH33010620070000012007-06-07<NA>1영업/정상13영업중<NA><NA><NA><NA>053-614-0255<NA><NA>대구광역시 달성군 논공읍 북리 803-210 2층대구광역시 달성군 논공읍 논공로5길 229, 2층42979나우 휘트니스 클럽2021-01-12 14:53:17U2021-01-14 02:40:00<NA>330796.571386248892.6406체력단련장업사립<NA><NA>1180.6<NA><NA><NA>
11311132체력단련장업10_42_01_P5141000CDFH33010620240000012024-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 서부리 71-6대구광역시 군위군 군위읍 중앙길 72, 2층 201호43119GYPT샵2024-01-11 08:57:33I2024-01-13 00:16:23<NA>340767.648758304913.189155체력단련장업사립<NA>000.00<NA><NA>