Overview

Dataset statistics

Number of variables32
Number of observations105
Missing cells1091
Missing cells (%)32.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.2 KiB
Average record size in memory275.3 B

Variable types

Numeric6
Categorical10
Text5
DateTime3
Unsupported8

Dataset

Description23년10월_6270000_대구광역시_09_29_01_P_지하수시공업체
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101083&dataSetDetailId=DDI_0000101103&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
전문인력총수 is highly imbalanced (54.7%)Imbalance
인허가취소일자 has 86 (81.9%) missing valuesMissing
폐업일자 has 105 (100.0%) missing valuesMissing
휴업시작일자 has 105 (100.0%) missing valuesMissing
휴업종료일자 has 105 (100.0%) missing valuesMissing
재개업일자 has 105 (100.0%) missing valuesMissing
소재지전화 has 105 (100.0%) missing valuesMissing
소재지면적 has 105 (100.0%) missing valuesMissing
소재지우편번호 has 105 (100.0%) missing valuesMissing
소재지전체주소 has 22 (21.0%) missing valuesMissing
도로명전체주소 has 9 (8.6%) missing valuesMissing
도로명우편번호 has 70 (66.7%) missing valuesMissing
업태구분명 has 105 (100.0%) missing valuesMissing
좌표정보(X) has 4 (3.8%) missing valuesMissing
좌표정보(Y) has 4 (3.8%) missing valuesMissing
시설장비 has 56 (53.3%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
폐업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
소재지전화 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
소재지우편번호 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
자본금 has 2 (1.9%) zerosZeros

Reproduction

Analysis started2023-11-11 14:12:30.646080
Analysis finished2023-11-11 14:12:31.334337
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53
Minimum1
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-11-11T23:12:31.444810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.2
Q127
median53
Q379
95-th percentile99.8
Maximum105
Range104
Interquartile range (IQR)52

Descriptive statistics

Standard deviation30.454885
Coefficient of variation (CV)0.57462047
Kurtosis-1.2
Mean53
Median Absolute Deviation (MAD)26
Skewness0
Sum5565
Variance927.5
MonotonicityStrictly increasing
2023-11-11T23:12:31.701477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
80 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
Other values (95) 95
90.5%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
105 1
1.0%
104 1
1.0%
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
지하수시공업체
105 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지하수시공업체 105
100.0%

Length

2023-11-11T23:12:31.922373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:32.082374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하수시공업체 105
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
09_29_01_P
105 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_29_01_P
2nd row09_29_01_P
3rd row09_29_01_P
4th row09_29_01_P
5th row09_29_01_P

Common Values

ValueCountFrequency (%)
09_29_01_P 105
100.0%

Length

2023-11-11T23:12:32.257307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:32.412498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_29_01_p 105
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4230552.4
Minimum3420000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-11-11T23:12:32.540707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3420000
5-th percentile3424000
Q13470000
median3480000
Q35141000
95-th percentile5141000
Maximum5141000
Range1721000
Interquartile range (IQR)1671000

Descriptive statistics

Standard deviation839614.59
Coefficient of variation (CV)0.19846453
Kurtosis-2.0071996
Mean4230552.4
Median Absolute Deviation (MAD)60000
Skewness0.1736604
Sum4.44208 × 108
Variance7.0495265 × 1011
MonotonicityIncreasing
2023-11-11T23:12:32.745320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5141000 48
45.7%
3480000 27
25.7%
3460000 10
 
9.5%
3450000 8
 
7.6%
3420000 6
 
5.7%
3470000 4
 
3.8%
3440000 2
 
1.9%
ValueCountFrequency (%)
3420000 6
 
5.7%
3440000 2
 
1.9%
3450000 8
 
7.6%
3460000 10
 
9.5%
3470000 4
 
3.8%
3480000 27
25.7%
5141000 48
45.7%
ValueCountFrequency (%)
5141000 48
45.7%
3480000 27
25.7%
3470000 4
 
3.8%
3460000 10
 
9.5%
3450000 8
 
7.6%
3440000 2
 
1.9%
3420000 6
 
5.7%

관리번호
Text

Distinct96
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-11-11T23:12:33.037441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters1995
Distinct characters12
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

Unique87 ?
Unique (%)82.9%

Sample

1st rowC001748110011934L00
2nd rowC005011467044000000
3rd rowC007202151767711000
4th rowC001752110004691L00
5th rowC001760110053360L00
ValueCountFrequency (%)
c001751110023057l00 2
 
1.9%
c001743110010184l00 2
 
1.9%
c005088108179000000 2
 
1.9%
c001747110006119l00 2
 
1.9%
c001743110008387l00 2
 
1.9%
c002301110069623l00 2
 
1.9%
c001701110060799l00 2
 
1.9%
c001744110004474l00 2
 
1.9%
c001714110012420l00 2
 
1.9%
c004112122682610000 1
 
1.0%
Other values (86) 86
81.9%
2023-11-11T23:12:33.523998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 759
38.0%
1 375
18.8%
7 137
 
6.9%
4 115
 
5.8%
C 105
 
5.3%
5 82
 
4.1%
L 82
 
4.1%
3 80
 
4.0%
6 78
 
3.9%
2 77
 
3.9%
Other values (2) 105
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1808
90.6%
Uppercase Letter 187
 
9.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 759
42.0%
1 375
20.7%
7 137
 
7.6%
4 115
 
6.4%
5 82
 
4.5%
3 80
 
4.4%
6 78
 
4.3%
2 77
 
4.3%
8 58
 
3.2%
9 47
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
C 105
56.1%
L 82
43.9%

Most occurring scripts

ValueCountFrequency (%)
Common 1808
90.6%
Latin 187
 
9.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 759
42.0%
1 375
20.7%
7 137
 
7.6%
4 115
 
6.4%
5 82
 
4.5%
3 80
 
4.4%
6 78
 
4.3%
2 77
 
4.3%
8 58
 
3.2%
9 47
 
2.6%
Latin
ValueCountFrequency (%)
C 105
56.1%
L 82
43.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1995
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 759
38.0%
1 375
18.8%
7 137
 
6.9%
4 115
 
5.8%
C 105
 
5.3%
5 82
 
4.1%
L 82
 
4.1%
3 80
 
4.0%
6 78
 
3.9%
2 77
 
3.9%
Other values (2) 105
 
5.3%

인허가일자
Date

Distinct98
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size972.0 B
Minimum1998-01-24 00:00:00
Maximum2023-07-20 00:00:00
2023-11-11T23:12:33.740886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:12:34.001344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing86
Missing (%)81.9%
Memory size972.0 B
Minimum2007-06-12 00:00:00
Maximum2023-02-08 00:00:00
2023-11-11T23:12:34.259947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:12:34.526405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

영업상태구분코드
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
1
86 
3
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 86
81.9%
3 19
 
18.1%

Length

2023-11-11T23:12:34.692577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:34.874851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 86
81.9%
3 19
 
18.1%

영업상태명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
영업/정상
86 
폐업
19 

Length

Max length5
Median length5
Mean length4.4571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 86
81.9%
폐업 19
 
18.1%

Length

2023-11-11T23:12:35.061537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:35.258735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 86
81.9%
폐업 19
 
18.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
1
86 
2
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 86
81.9%
2 19
 
18.1%

Length

2023-11-11T23:12:35.452462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:35.609192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 86
81.9%
2 19
 
18.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
영업
86 
취소정지업체
19 

Length

Max length6
Median length2
Mean length2.7238095
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소정지업체
2nd row영업
3rd row영업
4th row영업
5th row영업

Common Values

ValueCountFrequency (%)
영업 86
81.9%
취소정지업체 19
 
18.1%

Length

2023-11-11T23:12:35.822771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:36.002315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 86
81.9%
취소정지업체 19
 
18.1%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

소재지전체주소
Text

MISSING 

Distinct75
Distinct (%)90.4%
Missing22
Missing (%)21.0%
Memory size972.0 B
2023-11-11T23:12:36.456165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length24.289157
Min length19

Characters and Unicode

Total characters2016
Distinct characters131
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

Unique71 ?
Unique (%)85.5%

Sample

1st row대구광역시 동구 신천동 366-6번지
2nd row대구광역시 동구 불로동 823-1번지
3rd row대구광역시 동구 지묘동 333 801호
4th row대구광역시 동구 효목동 441-1번지
5th row대구광역시 동구 상매동 521-2
ValueCountFrequency (%)
대구광역시 77
 
18.8%
군위군 30
 
7.3%
군위읍 21
 
5.1%
달성군 19
 
4.6%
서부리 16
 
3.9%
수성구 10
 
2.4%
북구 8
 
2.0%
경상북도 6
 
1.5%
가창면 6
 
1.5%
동구 6
 
1.5%
Other values (160) 211
51.5%
2023-11-11T23:12:37.264801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
410
20.3%
구 109
 
5.4%
군 104
 
5.2%
1 84
 
4.2%
대 81
 
4.0%
시 80
 
4.0%
역 79
 
3.9%
광 77
 
3.8%
- 63
 
3.1%
2 60
 
3.0%
Other values (121) 869
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1176
58.3%
Space Separator 410
 
20.3%
Decimal Number 366
 
18.2%
Dash Punctuation 63
 
3.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 109
 
9.3%
군 104
 
8.8%
대 81
 
6.9%
시 80
 
6.8%
역 79
 
6.7%
광 77
 
6.5%
리 54
 
4.6%
위 52
 
4.4%
동 43
 
3.7%
성 36
 
3.1%
Other values (108) 461
39.2%
Decimal Number
ValueCountFrequency (%)
1 84
23.0%
2 60
16.4%
3 39
10.7%
6 37
10.1%
4 33
 
9.0%
5 25
 
6.8%
9 24
 
6.6%
8 23
 
6.3%
7 22
 
6.0%
0 19
 
5.2%
Space Separator
ValueCountFrequency (%)
410
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1176
58.3%
Common 839
41.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 109
 
9.3%
군 104
 
8.8%
대 81
 
6.9%
시 80
 
6.8%
역 79
 
6.7%
광 77
 
6.5%
리 54
 
4.6%
위 52
 
4.4%
동 43
 
3.7%
성 36
 
3.1%
Other values (108) 461
39.2%
Common
ValueCountFrequency (%)
410
48.9%
1 84
 
10.0%
- 63
 
7.5%
2 60
 
7.2%
3 39
 
4.6%
6 37
 
4.4%
4 33
 
3.9%
5 25
 
3.0%
9 24
 
2.9%
8 23
 
2.7%
Other values (2) 41
 
4.9%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1176
58.3%
ASCII 840
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
410
48.8%
1 84
 
10.0%
- 63
 
7.5%
2 60
 
7.1%
3 39
 
4.6%
6 37
 
4.4%
4 33
 
3.9%
5 25
 
3.0%
9 24
 
2.9%
8 23
 
2.7%
Other values (3) 42
 
5.0%
Hangul
ValueCountFrequency (%)
구 109
 
9.3%
군 104
 
8.8%
대 81
 
6.9%
시 80
 
6.8%
역 79
 
6.7%
광 77
 
6.5%
리 54
 
4.6%
위 52
 
4.4%
동 43
 
3.7%
성 36
 
3.1%
Other values (108) 461
39.2%

도로명전체주소
Text

MISSING 

Distinct81
Distinct (%)84.4%
Missing9
Missing (%)8.6%
Memory size972.0 B
2023-11-11T23:12:37.879018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length24.40625
Min length20

Characters and Unicode

Total characters2343
Distinct characters148
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

Unique69 ?
Unique (%)71.9%

Sample

1st row대구광역시 동구 화랑로9길 61 (신천동)
2nd row대구광역시 동구 공항로 190-1 (불로동)
3rd row대구광역시 동구 아양로47길 45, 102호 (신암동)
4th row대구광역시 동구 효목로7길 31 (효목동)
5th row대구광역시 동구 율암로 149-6 (상매동)
ValueCountFrequency (%)
대구광역시 92
 
18.0%
군위군 39
 
7.6%
군위읍 29
 
5.7%
달성군 26
 
5.1%
수성구 10
 
2.0%
중앙길 9
 
1.8%
가창면 7
 
1.4%
화원읍 6
 
1.2%
북구 6
 
1.2%
동구 6
 
1.2%
Other values (202) 282
55.1%
2023-11-11T23:12:39.105999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
416
 
17.8%
군 142
 
6.1%
구 124
 
5.3%
대 102
 
4.4%
시 95
 
4.1%
역 94
 
4.0%
광 92
 
3.9%
1 81
 
3.5%
위 69
 
2.9%
로 63
 
2.7%
Other values (138) 1065
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1453
62.0%
Space Separator 416
 
17.8%
Decimal Number 366
 
15.6%
Open Punctuation 30
 
1.3%
Close Punctuation 30
 
1.3%
Dash Punctuation 27
 
1.2%
Other Punctuation 20
 
0.9%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 142
 
9.8%
구 124
 
8.5%
대 102
 
7.0%
시 95
 
6.5%
역 94
 
6.5%
광 92
 
6.3%
위 69
 
4.7%
로 63
 
4.3%
동 54
 
3.7%
성 53
 
3.6%
Other values (122) 565
38.9%
Decimal Number
ValueCountFrequency (%)
1 81
22.1%
2 51
13.9%
5 44
12.0%
4 38
10.4%
0 32
 
8.7%
3 28
 
7.7%
6 26
 
7.1%
9 24
 
6.6%
7 23
 
6.3%
8 19
 
5.2%
Space Separator
ValueCountFrequency (%)
416
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1453
62.0%
Common 889
37.9%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 142
 
9.8%
구 124
 
8.5%
대 102
 
7.0%
시 95
 
6.5%
역 94
 
6.5%
광 92
 
6.3%
위 69
 
4.7%
로 63
 
4.3%
동 54
 
3.7%
성 53
 
3.6%
Other values (122) 565
38.9%
Common
ValueCountFrequency (%)
416
46.8%
1 81
 
9.1%
2 51
 
5.7%
5 44
 
4.9%
4 38
 
4.3%
0 32
 
3.6%
( 30
 
3.4%
) 30
 
3.4%
3 28
 
3.1%
- 27
 
3.0%
Other values (5) 112
 
12.6%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1453
62.0%
ASCII 890
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
416
46.7%
1 81
 
9.1%
2 51
 
5.7%
5 44
 
4.9%
4 38
 
4.3%
0 32
 
3.6%
( 30
 
3.4%
) 30
 
3.4%
3 28
 
3.1%
- 27
 
3.0%
Other values (6) 113
 
12.7%
Hangul
ValueCountFrequency (%)
군 142
 
9.8%
구 124
 
8.5%
대 102
 
7.0%
시 95
 
6.5%
역 94
 
6.5%
광 92
 
6.3%
위 69
 
4.7%
로 63
 
4.3%
동 54
 
3.7%
성 53
 
3.6%
Other values (122) 565
38.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)80.0%
Missing70
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean41648.829
Minimum39006
Maximum43158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-11-11T23:12:39.356729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39006
5-th percentile39006
Q139030
median42691
Q342989
95-th percentile43128.7
Maximum43158
Range4152
Interquartile range (IQR)3959

Descriptive statistics

Standard deviation1750.6182
Coefficient of variation (CV)0.042032831
Kurtosis-1.2463262
Mean41648.829
Median Absolute Deviation (MAD)431
Skewness-0.79016926
Sum1457709
Variance3064664
MonotonicityNot monotonic
2023-11-11T23:12:39.570196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
39006 4
 
3.8%
42929 2
 
1.9%
39017 2
 
1.9%
39018 2
 
1.9%
41587 2
 
1.9%
42721 1
 
1.0%
43120 1
 
1.0%
43113 1
 
1.0%
42260 1
 
1.0%
42072 1
 
1.0%
Other values (18) 18
 
17.1%
(Missing) 70
66.7%
ValueCountFrequency (%)
39006 4
3.8%
39015 1
 
1.0%
39017 2
1.9%
39018 2
1.9%
39042 1
 
1.0%
41413 1
 
1.0%
41587 2
1.9%
42037 1
 
1.0%
42072 1
 
1.0%
42260 1
 
1.0%
ValueCountFrequency (%)
43158 1
1.0%
43149 1
1.0%
43120 1
1.0%
43119 1
1.0%
43117 1
1.0%
43113 1
1.0%
43110 1
1.0%
43108 1
1.0%
43004 1
1.0%
42974 1
1.0%

사업장명
Text

Distinct97
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-11-11T23:12:39.951839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.7809524
Min length3

Characters and Unicode

Total characters712
Distinct characters121
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)84.8%

Sample

1st row㈜경창지오컨설탄트
2nd row한일수중펌프
3rd row우진개발
4th row㈜거암
5th row범환지오텍 주식회사
ValueCountFrequency (%)
주식회사 9
 
7.8%
주)성수개발 2
 
1.7%
주)정안 2
 
1.7%
동방지질㈜ 2
 
1.7%
향진건설(주 2
 
1.7%
㈜국제지오컨설팅 2
 
1.7%
한일수중펌프 2
 
1.7%
주)용현건설 2
 
1.7%
주)정우개발 2
 
1.7%
주)회덕산업개발 1
 
0.9%
Other values (89) 89
77.4%
2023-11-11T23:12:40.689241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 67
 
9.4%
( 53
 
7.4%
) 53
 
7.4%
건 37
 
5.2%
설 35
 
4.9%
개 27
 
3.8%
발 27
 
3.8%
지 25
 
3.5%
사 18
 
2.5%
회 15
 
2.1%
Other values (111) 355
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 582
81.7%
Open Punctuation 53
 
7.4%
Close Punctuation 53
 
7.4%
Other Symbol 14
 
2.0%
Space Separator 10
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 67
 
11.5%
건 37
 
6.4%
설 35
 
6.0%
개 27
 
4.6%
발 27
 
4.6%
지 25
 
4.3%
사 18
 
3.1%
회 15
 
2.6%
수 14
 
2.4%
식 14
 
2.4%
Other values (107) 303
52.1%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 596
83.7%
Common 116
 
16.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 67
 
11.2%
건 37
 
6.2%
설 35
 
5.9%
개 27
 
4.5%
발 27
 
4.5%
지 25
 
4.2%
사 18
 
3.0%
회 15
 
2.5%
수 14
 
2.3%
식 14
 
2.3%
Other values (108) 317
53.2%
Common
ValueCountFrequency (%)
( 53
45.7%
) 53
45.7%
10
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 582
81.7%
ASCII 116
 
16.3%
None 14
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 67
 
11.5%
건 37
 
6.4%
설 35
 
6.0%
개 27
 
4.6%
발 27
 
4.6%
지 25
 
4.3%
사 18
 
3.1%
회 15
 
2.6%
수 14
 
2.4%
식 14
 
2.4%
Other values (107) 303
52.1%
ASCII
ValueCountFrequency (%)
( 53
45.7%
) 53
45.7%
10
 
8.6%
None
ValueCountFrequency (%)
㈜ 14
100.0%

최종수정시점
Date

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
Minimum2004-10-29 14:19:53
Maximum2023-10-27 11:17:34
2023-11-11T23:12:40.993091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:12:41.201300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
I
79 
U
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 79
75.2%
U 26
 
24.8%

Length

2023-11-11T23:12:41.420080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:41.582160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 79
75.2%
u 26
 
24.8%

데이터갱신일자
Categorical

Distinct37
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-07-01 16:42:10
33 
2018-08-31 23:59:59
29 
2023-07-01 15:23:19
6 
2021-01-24 00:23:04
 
2
2023-09-24 02:40:00
 
2
Other values (32)
33 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique31 ?
Unique (%)29.5%

Sample

1st row2018-08-31 23:59:59
2nd row2018-08-31 23:59:59
3rd row2022-07-12 02:40:00
4th row2018-08-31 23:59:59
5th row2023-05-13 02:40:00

Common Values

ValueCountFrequency (%)
2023-07-01 16:42:10 33
31.4%
2018-08-31 23:59:59 29
27.6%
2023-07-01 15:23:19 6
 
5.7%
2021-01-24 00:23:04 2
 
1.9%
2023-09-24 02:40:00 2
 
1.9%
2022-07-29 02:40:00 2
 
1.9%
2022-11-17 00:22:24 1
 
1.0%
2022-01-21 00:22:39 1
 
1.0%
2022-12-22 00:40:33 1
 
1.0%
2022-07-20 02:40:00 1
 
1.0%
Other values (27) 27
25.7%

Length

2023-11-11T23:12:41.775408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-07-01 39
18.6%
16:42:10 33
15.7%
2018-08-31 29
13.8%
23:59:59 29
13.8%
02:40:00 26
12.4%
15:23:19 6
 
2.9%
2021-01-24 3
 
1.4%
2022-07-29 2
 
1.0%
2023-09-24 2
 
1.0%
00:23:04 2
 
1.0%
Other values (39) 39
18.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)78.2%
Missing4
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean340527.08
Minimum202060.63
Maximum381317.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-11-11T23:12:42.013653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202060.63
5-th percentile327254.93
Q1338192.34
median340772.78
Q3346669.88
95-th percentile354396.96
Maximum381317.13
Range179256.5
Interquartile range (IQR)8477.5411

Descriptive statistics

Standard deviation16123.814
Coefficient of variation (CV)0.047349579
Kurtosis55.213171
Mean340527.08
Median Absolute Deviation (MAD)5303.426
Skewness-6.2663744
Sum34393235
Variance2.5997737 × 108
MonotonicityNot monotonic
2023-11-11T23:12:42.376317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340731.177368659 5
 
4.8%
340655.429025767 4
 
3.8%
332546.834202673 3
 
2.9%
354396.957671288 3
 
2.9%
326126.020933788 3
 
2.9%
336337.158080472 3
 
2.9%
340923.473029312 2
 
1.9%
340780.500901957 2
 
1.9%
343680.311177891 2
 
1.9%
327254.926809402 2
 
1.9%
Other values (69) 72
68.6%
(Missing) 4
 
3.8%
ValueCountFrequency (%)
202060.629594656 1
 
1.0%
326126.020933788 3
2.9%
327254.926809402 2
1.9%
327779.952612243 1
 
1.0%
328528.282370598 1
 
1.0%
330218.927904054 1
 
1.0%
330334.973903611 1
 
1.0%
330659.113916432 1
 
1.0%
332546.834202673 3
2.9%
332857.253539932 1
 
1.0%
ValueCountFrequency (%)
381317.132922812 1
 
1.0%
357673.487223672 1
 
1.0%
356476.34844211 1
 
1.0%
354577.742223633 1
 
1.0%
354396.957671288 3
2.9%
353834.52435443 1
 
1.0%
353398.943579583 1
 
1.0%
352686.114991241 1
 
1.0%
351682.914002646 1
 
1.0%
350924.050110143 1
 
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)78.2%
Missing4
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean281205.83
Minimum239763.45
Maximum418612.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-11-11T23:12:42.617567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239763.45
5-th percentile254401.79
Q1262101.29
median270015.2
Q3304696.71
95-th percentile307003.75
Maximum418612.45
Range178849
Interquartile range (IQR)42595.42

Descriptive statistics

Standard deviation25648.106
Coefficient of variation (CV)0.091207591
Kurtosis6.3491428
Mean281205.83
Median Absolute Deviation (MAD)15281.178
Skewness1.5351339
Sum28401789
Variance6.5782536 × 108
MonotonicityNot monotonic
2023-11-11T23:12:42.865433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
304703.342649259 5
 
4.8%
304696.708392185 4
 
3.8%
307003.747277955 3
 
2.9%
298253.092977175 3
 
2.9%
264094.226270191 3
 
2.9%
256834.407500578 3
 
2.9%
306612.90754905 2
 
1.9%
304063.285465733 2
 
1.9%
265487.375030167 2
 
1.9%
265496.191813374 2
 
1.9%
Other values (69) 72
68.6%
(Missing) 4
 
3.8%
ValueCountFrequency (%)
239763.447814941 1
1.0%
244379.819416086 1
1.0%
248746.71847821 1
1.0%
251030.651508496 1
1.0%
253182.624097527 1
1.0%
254401.793424696 1
1.0%
254734.026286956 1
1.0%
256487.780188493 1
1.0%
256543.731992305 1
1.0%
256670.659941703 1
1.0%
ValueCountFrequency (%)
418612.448566571 1
 
1.0%
307274.032926678 1
 
1.0%
307067.921895896 1
 
1.0%
307015.961789212 1
 
1.0%
307003.747277955 3
2.9%
306941.554637619 2
1.9%
306612.90754905 2
1.9%
305629.723209101 1
 
1.0%
305346.090355331 1
 
1.0%
305328.855804299 1
 
1.0%

전문인력총수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
2
86 
3
10 
4
 
8
0
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row3
2nd row2
3rd row3
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 86
81.9%
3 10
 
9.5%
4 8
 
7.6%
0 1
 
1.0%

Length

2023-11-11T23:12:43.193106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:43.397032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 86
81.9%
3 10
 
9.5%
4 8
 
7.6%
0 1
 
1.0%

자본금
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5582599 × 108
Minimum0
Maximum1.56 × 109
Zeros2
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-11-11T23:12:43.696261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30000000
Q157155000
median2.05 × 108
Q33.05 × 108
95-th percentile6.116 × 108
Maximum1.56 × 109
Range1.56 × 109
Interquartile range (IQR)2.47845 × 108

Descriptive statistics

Standard deviation2.5779517 × 108
Coefficient of variation (CV)1.0076973
Kurtosis9.5228289
Mean2.5582599 × 108
Median Absolute Deviation (MAD)1.2775 × 108
Skewness2.6232603
Sum2.6861729 × 1010
Variance6.6458349 × 1016
MonotonicityNot monotonic
2023-11-11T23:12:43.952182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
200000000 11
 
10.5%
50000000 9
 
8.6%
30000000 6
 
5.7%
305000000 5
 
4.8%
300000000 5
 
4.8%
205000000 4
 
3.8%
210000000 4
 
3.8%
410000000 4
 
3.8%
255000000 3
 
2.9%
105000000 3
 
2.9%
Other values (39) 51
48.6%
ValueCountFrequency (%)
0 2
 
1.9%
305000 1
 
1.0%
30000000 6
5.7%
30093000 1
 
1.0%
31000000 1
 
1.0%
33303856 1
 
1.0%
34800000 1
 
1.0%
36760000 1
 
1.0%
46158516 1
 
1.0%
50000000 9
8.6%
ValueCountFrequency (%)
1560000000 1
1.0%
1360000000 1
1.0%
1210000000 1
1.0%
800000000 1
1.0%
619000000 1
1.0%
612000000 1
1.0%
610000000 1
1.0%
605000000 1
1.0%
600003856 1
1.0%
505000000 2
1.9%

시설장비
Text

MISSING 

Distinct44
Distinct (%)89.8%
Missing56
Missing (%)53.3%
Memory size972.0 B
2023-11-11T23:12:44.432331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length39
Mean length23.204082
Min length6

Characters and Unicode

Total characters1137
Distinct characters115
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)81.6%

Sample

1st row1. 시추기 1
2nd row시추기 : HI-1001 1대 임대 공기압축기 : XRVS487CD(29.8㎥/min) 1대 임대
3rd row· 시추기 SD600 1대, TBM 1대 보유 · 공기압축기 27㎡/min 임대 · 5t 2대, 3.5t 1대, 1t 트럭 1대 보유 · 사무실 116.2㎡ 임대
4th row1. 시추기 2 2. 공기압축기 1
5th row천공기-등록번호:대구22-5125 형식:17W 규격:30M/min
ValueCountFrequency (%)
1대 30
 
14.5%
1 23
 
11.1%
공기압축기 21
 
10.1%
시추기 15
 
7.2%
2 10
 
4.8%
10
 
4.8%
천공기 8
 
3.9%
임대 6
 
2.9%
· 4
 
1.9%
250mm 2
 
1.0%
Other values (72) 78
37.7%
2023-11-11T23:12:45.214369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
14.8%
기 106
 
9.3%
1 83
 
7.3%
대 52
 
4.6%
2 49
 
4.3%
공 45
 
4.0%
0 36
 
3.2%
. 34
 
3.0%
33
 
2.9%
압 29
 
2.6%
Other values (105) 502
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 445
39.1%
Decimal Number 241
21.2%
Space Separator 168
 
14.8%
Uppercase Letter 78
 
6.9%
Other Punctuation 68
 
6.0%
Control 33
 
2.9%
Lowercase Letter 31
 
2.7%
Close Punctuation 24
 
2.1%
Open Punctuation 24
 
2.1%
Dash Punctuation 18
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 106
23.8%
대 52
11.7%
공 45
10.1%
압 29
 
6.5%
축 26
 
5.8%
추 22
 
4.9%
시 22
 
4.9%
천 17
 
3.8%
임 14
 
3.1%
착 11
 
2.5%
Other values (54) 101
22.7%
Uppercase Letter
ValueCountFrequency (%)
T 9
11.5%
B 9
11.5%
D 8
10.3%
H 7
 
9.0%
M 7
 
9.0%
C 5
 
6.4%
S 5
 
6.4%
A 4
 
5.1%
O 3
 
3.8%
X 3
 
3.8%
Other values (12) 18
23.1%
Decimal Number
ValueCountFrequency (%)
1 83
34.4%
2 49
20.3%
0 36
14.9%
5 23
 
9.5%
7 11
 
4.6%
4 9
 
3.7%
8 9
 
3.7%
3 8
 
3.3%
6 7
 
2.9%
9 6
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 34
50.0%
, 11
 
16.2%
/ 11
 
16.2%
: 7
 
10.3%
· 4
 
5.9%
* 1
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
m 13
41.9%
i 7
22.6%
n 6
19.4%
t 3
 
9.7%
w 1
 
3.2%
c 1
 
3.2%
Other Symbol
ValueCountFrequency (%)
㎥ 5
71.4%
㎡ 2
 
28.6%
Space Separator
ValueCountFrequency (%)
168
100.0%
Control
ValueCountFrequency (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 583
51.3%
Hangul 445
39.1%
Latin 109
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 106
23.8%
대 52
11.7%
공 45
10.1%
압 29
 
6.5%
축 26
 
5.8%
추 22
 
4.9%
시 22
 
4.9%
천 17
 
3.8%
임 14
 
3.1%
착 11
 
2.5%
Other values (54) 101
22.7%
Latin
ValueCountFrequency (%)
m 13
 
11.9%
T 9
 
8.3%
B 9
 
8.3%
D 8
 
7.3%
H 7
 
6.4%
i 7
 
6.4%
M 7
 
6.4%
n 6
 
5.5%
C 5
 
4.6%
S 5
 
4.6%
Other values (18) 33
30.3%
Common
ValueCountFrequency (%)
168
28.8%
1 83
14.2%
2 49
 
8.4%
0 36
 
6.2%
. 34
 
5.8%
33
 
5.7%
) 24
 
4.1%
( 24
 
4.1%
5 23
 
3.9%
- 18
 
3.1%
Other values (13) 91
15.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 681
59.9%
Hangul 445
39.1%
CJK Compat 7
 
0.6%
None 4
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
24.7%
1 83
12.2%
2 49
 
7.2%
0 36
 
5.3%
. 34
 
5.0%
33
 
4.8%
) 24
 
3.5%
( 24
 
3.5%
5 23
 
3.4%
- 18
 
2.6%
Other values (38) 189
27.8%
Hangul
ValueCountFrequency (%)
기 106
23.8%
대 52
11.7%
공 45
10.1%
압 29
 
6.5%
축 26
 
5.8%
추 22
 
4.9%
시 22
 
4.9%
천 17
 
3.8%
임 14
 
3.1%
착 11
 
2.5%
Other values (54) 101
22.7%
CJK Compat
ValueCountFrequency (%)
㎥ 5
71.4%
㎡ 2
 
28.6%
None
ValueCountFrequency (%)
· 4
100.0%

타기관이전여부
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
0
90 
1
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 90
85.7%
1 15
 
14.3%

Length

2023-11-11T23:12:45.442947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:45.611581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 90
85.7%
1 15
 
14.3%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
01지하수시공업체09_29_01_P3420000C001748110011934L001999-08-262012-07-093폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신천동 366-6번지대구광역시 동구 화랑로9길 61 (신천동)<NA>㈜경창지오컨설탄트2012-07-12 09:37:22I2018-08-31 23:59:59<NA>347127.396363264691.39183631000000001. 시추기 10
12지하수시공업체09_29_01_P3420000C0050114670440000002004-07-14<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 불로동 823-1번지대구광역시 동구 공항로 190-1 (불로동)<NA>한일수중펌프2017-02-08 17:23:32I2018-08-31 23:59:59<NA>347526.586815267828.4701362600003856시추기 : HI-1001 1대 임대 공기압축기 : XRVS487CD(29.8㎥/min) 1대 임대1
23지하수시공업체09_29_01_P3420000C0072021517677110002016-04-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 지묘동 333 801호대구광역시 동구 아양로47길 45, 102호 (신암동)<NA>우진개발2022-07-08 15:50:30U2022-07-12 02:40:00<NA>347900.495986272359.486675377250000· 시추기 SD600 1대, TBM 1대 보유 · 공기압축기 27㎡/min 임대 · 5t 2대, 3.5t 1대, 1t 트럭 1대 보유 · 사무실 116.2㎡ 임대0
34지하수시공업체09_29_01_P3420000C001752110004691L002016-06-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 효목동 441-1번지대구광역시 동구 효목로7길 31 (효목동)<NA>㈜거암2016-07-04 16:31:44I2018-08-31 23:59:59<NA>347764.014973265264.76225322000000001. 시추기 2 2. 공기압축기 11
45지하수시공업체09_29_01_P3420000C001760110053360L002014-12-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 상매동 521-2대구광역시 동구 율암로 149-6 (상매동)<NA>범환지오텍 주식회사2023-05-11 09:46:35U2023-05-13 02:40:00<NA>353834.524354266701.867996250000000<NA>0
56지하수시공업체09_29_01_P3420000C001701110367426L002009-01-282011-09-203폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 괴전동 133-4번지대구광역시 동구 동내로 6 (괴전동)<NA>(주)신서2012-07-12 09:45:21I2018-08-31 23:59:59<NA>356476.348442264941.7601172255000000천공기-등록번호:대구22-5125 형식:17W 규격:30M/min0
67지하수시공업체09_29_01_P3440000C001714110005300L001999-12-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 남구 대명동 2033-28번지대구광역시 남구 명덕로 212-1 (대명동)<NA>수창개발(주)2010-09-24 15:07:53I2018-08-31 23:59:59<NA>343857.119506262989.31777221050000001. 시추기 10
78지하수시공업체09_29_01_P3440000C001747110014211L002002-08-31<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>경상북도 영천시 야사동 415-1 번지<NA><NA>(주)태흥개발2010-09-08 13:24:47I2018-08-31 23:59:59<NA><NA><NA>41050000001. 시추기 1 2. 공기압축기 10
89지하수시공업체09_29_01_P3450000C0034010416843170002007-06-122007-06-123폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 관음동 1343-16번지 14통2반대구광역시 북구 관음동로13길 22-1 (관음동)<NA>정석규2010-01-08 10:34:32I2018-08-31 23:59:59<NA>339318.532623272038.25765820<NA>0
910지하수시공업체09_29_01_P3450000C001744110000703L001998-01-242010-04-163폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 서변동 1784-3 번지<NA><NA>창암건설㈜2010-04-16 14:15:35I2018-08-31 23:59:59<NA><NA><NA>23050001. 시추기 1 2. 공기압축기 10
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
9596지하수시공업체09_29_01_P5141000C001743110010176L002019-12-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 동서길 89-4343113주식회사장군이건설2023-10-27 11:17:34U2023-10-29 02:40:00<NA>341209.473256305346.0903552300000000시추기(TBM2500) 1식0
9697지하수시공업체09_29_01_P5141000C001744110000927L001999-01-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 효령면 중구리 137-6대구광역시 군위군 효령면 경북대로 2656-11<NA>대평건설㈜2020-07-31 09:25:23I2023-07-01 16:42:10<NA>342737.919351295943.5948872220000000<NA>0
9798지하수시공업체09_29_01_P5141000C0050881081790000002002-01-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 소보면 송원리 694-1대구광역시 군위군 소보면 송원3길 35-22<NA>동방지질㈜2011-10-30 09:49:30I2023-07-01 16:42:10<NA>332857.25354307274.03292731550000001. 시추기 1대1
9899지하수시공업체09_29_01_P5141000C001701110205189L002002-03-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 서부리 291-2대구광역시 군위군 군위읍 중앙길 58<NA>주식회사 유원2004-10-29 14:19:53I2023-07-01 16:42:10<NA>340746.270403304785.05537221030000001. 시추기 1대0
99100지하수시공업체09_29_01_P5141000C001743110001290L001999-10-122010-08-263폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 소보면 송원리 664-1대구광역시 군위군 소보면 송백로 1411<NA>㈜석수2010-08-27 10:47:59I2023-07-01 16:42:10<NA>332546.834203307003.74727822000000001. 시추기 1대 2. 공기압축기 1대0
100101지하수시공업체09_29_01_P5141000C001743110005531L002007-05-292015-05-063폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 동부리 664-1대구광역시 군위군 군위읍 군청로 85<NA>(주)람천건설2015-05-06 09:29:37I2023-07-01 16:42:10<NA>341027.334248304566.1269733305000000<NA>0
101102지하수시공업체09_29_01_P5141000C002052110026169L002015-07-212023-02-083폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 골안길 5-8<NA>지에프산업(주)2023-02-17 14:12:32I2023-07-01 15:23:19<NA><NA><NA>2202000000<NA>0
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