Overview

Dataset statistics

Number of variables32
Number of observations48
Missing cells490
Missing cells (%)31.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.1 KiB
Average record size in memory279.7 B

Variable types

Numeric9
Categorical9
Text5
Unsupported8
DateTime1

Dataset

Description6270000_대구광역시_09_29_01_P_지하수시공업체_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000091586&dataSetDetailId=DDI_0000091621&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
전문인력총수 is highly imbalanced (52.5%)Imbalance
인허가취소일자 has 37 (77.1%) missing valuesMissing
폐업일자 has 48 (100.0%) missing valuesMissing
휴업시작일자 has 48 (100.0%) missing valuesMissing
휴업종료일자 has 48 (100.0%) missing valuesMissing
재개업일자 has 48 (100.0%) missing valuesMissing
소재지전화 has 48 (100.0%) missing valuesMissing
소재지면적 has 48 (100.0%) missing valuesMissing
소재지우편번호 has 48 (100.0%) missing valuesMissing
소재지전체주소 has 6 (12.5%) missing valuesMissing
도로명전체주소 has 3 (6.2%) missing valuesMissing
도로명우편번호 has 35 (72.9%) missing valuesMissing
업태구분명 has 48 (100.0%) missing valuesMissing
좌표정보(X) has 2 (4.2%) missing valuesMissing
좌표정보(Y) has 2 (4.2%) missing valuesMissing
시설장비 has 21 (43.8%) 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 1 (2.1%) zerosZeros

Reproduction

Analysis started2024-04-21 03:23:29.282427
Analysis finished2024-04-21 03:23:29.973824
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size560.0 B
2024-04-21T12:23:30.167809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2024-04-21T12:23:30.606724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size512.0 B
지하수시공업체
48 

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 48
100.0%

Length

2024-04-21T12:23:31.010691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:23:31.292946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하수시공업체 48
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size512.0 B
09_29_01_P
48 

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 48
100.0%

Length

2024-04-21T12:23:31.597648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:23:31.880725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_29_01_p 48
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3463958.3
Minimum3420000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size560.0 B
2024-04-21T12:23:32.142859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3420000
5-th percentile3420000
Q13450000
median3480000
Q33480000
95-th percentile3480000
Maximum3480000
Range60000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation20807.076
Coefficient of variation (CV)0.0060067338
Kurtosis0.011775458
Mean3463958.3
Median Absolute Deviation (MAD)0
Skewness-1.1031911
Sum1.6627 × 108
Variance4.329344 × 108
MonotonicityIncreasing
2024-04-21T12:23:32.493233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3480000 25
52.1%
3460000 8
 
16.7%
3420000 6
 
12.5%
3450000 5
 
10.4%
3440000 2
 
4.2%
3470000 2
 
4.2%
ValueCountFrequency (%)
3420000 6
 
12.5%
3440000 2
 
4.2%
3450000 5
 
10.4%
3460000 8
 
16.7%
3470000 2
 
4.2%
3480000 25
52.1%
ValueCountFrequency (%)
3480000 25
52.1%
3470000 2
 
4.2%
3460000 8
 
16.7%
3450000 5
 
10.4%
3440000 2
 
4.2%
3420000 6
 
12.5%

관리번호
Text

Distinct46
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size512.0 B
2024-04-21T12:23:33.322318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters912
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

Unique44 ?
Unique (%)91.7%

Sample

1st rowC001752110004691L00
2nd rowC001701110367426L00
3rd rowC001748110011934L00
4th rowC001760110053360L00
5th rowC005011467044000000
ValueCountFrequency (%)
c001701110060799l00 2
 
4.2%
c001751110023057l00 2
 
4.2%
c005140245437000000 1
 
2.1%
c001701110217267l00 1
 
2.1%
c001752110004691l00 1
 
2.1%
c002301110069623l00 1
 
2.1%
c007404202682714000 1
 
2.1%
c006009211691513000 1
 
2.1%
c001747110006119l00 1
 
2.1%
c001743110010184l00 1
 
2.1%
Other values (36) 36
75.0%
2024-04-21T12:23:34.376828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 364
39.9%
1 162
17.8%
7 64
 
7.0%
4 51
 
5.6%
C 48
 
5.3%
5 40
 
4.4%
2 39
 
4.3%
6 36
 
3.9%
L 33
 
3.6%
3 32
 
3.5%
Other values (2) 43
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 831
91.1%
Uppercase Letter 81
 
8.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 364
43.8%
1 162
19.5%
7 64
 
7.7%
4 51
 
6.1%
5 40
 
4.8%
2 39
 
4.7%
6 36
 
4.3%
3 32
 
3.9%
8 23
 
2.8%
9 20
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
C 48
59.3%
L 33
40.7%

Most occurring scripts

ValueCountFrequency (%)
Common 831
91.1%
Latin 81
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 364
43.8%
1 162
19.5%
7 64
 
7.7%
4 51
 
6.1%
5 40
 
4.8%
2 39
 
4.7%
6 36
 
4.3%
3 32
 
3.9%
8 23
 
2.8%
9 20
 
2.4%
Latin
ValueCountFrequency (%)
C 48
59.3%
L 33
40.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 364
39.9%
1 162
17.8%
7 64
 
7.0%
4 51
 
5.6%
C 48
 
5.3%
5 40
 
4.4%
2 39
 
4.3%
6 36
 
3.9%
L 33
 
3.6%
3 32
 
3.5%
Other values (2) 43
 
4.7%

인허가일자
Real number (ℝ)

Distinct46
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20090995
Minimum19980124
Maximum20210122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size560.0 B
2024-04-21T12:23:34.719894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980124
5-th percentile19980257
Q120020343
median20090727
Q320160332
95-th percentile20200115
Maximum20210122
Range229998
Interquartile range (IQR)139989.5

Descriptive statistics

Standard deviation75634.466
Coefficient of variation (CV)0.0037645953
Kurtosis-1.2815599
Mean20090995
Median Absolute Deviation (MAD)69880.5
Skewness-0.19325144
Sum9.6436776 × 108
Variance5.7205724 × 109
MonotonicityNot monotonic
2024-04-21T12:23:34.980899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
20200122 2
 
4.2%
19980408 2
 
4.2%
20160608 1
 
2.1%
20160308 1
 
2.1%
20200102 1
 
2.1%
20131112 1
 
2.1%
20170301 1
 
2.1%
20160708 1
 
2.1%
20140929 1
 
2.1%
20080123 1
 
2.1%
Other values (36) 36
75.0%
ValueCountFrequency (%)
19980124 1
2.1%
19980213 1
2.1%
19980224 1
2.1%
19980317 1
2.1%
19980402 1
2.1%
19980408 2
4.2%
19980605 1
2.1%
19990826 1
2.1%
19991215 1
2.1%
20001208 1
2.1%
ValueCountFrequency (%)
20210122 1
2.1%
20200122 2
4.2%
20200102 1
2.1%
20191231 1
2.1%
20180622 1
2.1%
20180330 1
2.1%
20170301 1
2.1%
20160708 1
2.1%
20160608 1
2.1%
20160607 1
2.1%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing37
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean20116862
Minimum20070612
Maximum20200428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size560.0 B
2024-04-21T12:23:35.188131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070612
5-th percentile20075458
Q120100420
median20110825
Q320125467
95-th percentile20175370
Maximum20200428
Range129816
Interquartile range (IQR)25047.5

Descriptive statistics

Standard deviation35251.059
Coefficient of variation (CV)0.001752314
Kurtosis2.5487711
Mean20116862
Median Absolute Deviation (MAD)10409
Skewness1.3002909
Sum2.2128549 × 108
Variance1.2426372 × 109
MonotonicityNot monotonic
2024-04-21T12:23:35.397305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20110920 1
 
2.1%
20120709 1
 
2.1%
20070612 1
 
2.1%
20130225 1
 
2.1%
20100416 1
 
2.1%
20110314 1
 
2.1%
20110825 1
 
2.1%
20080304 1
 
2.1%
20150311 1
 
2.1%
20200428 1
 
2.1%
(Missing) 37
77.1%
ValueCountFrequency (%)
20070612 1
2.1%
20080304 1
2.1%
20100416 1
2.1%
20100423 1
2.1%
20110314 1
2.1%
20110825 1
2.1%
20110920 1
2.1%
20120709 1
2.1%
20130225 1
2.1%
20150311 1
2.1%
ValueCountFrequency (%)
20200428 1
2.1%
20150311 1
2.1%
20130225 1
2.1%
20120709 1
2.1%
20110920 1
2.1%
20110825 1
2.1%
20110314 1
2.1%
20100423 1
2.1%
20100416 1
2.1%
20080304 1
2.1%

영업상태구분코드
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size512.0 B
1
37 
3
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 37
77.1%
3 11
 
22.9%

Length

2024-04-21T12:23:35.616389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:23:35.773216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 37
77.1%
3 11
 
22.9%

영업상태명
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size512.0 B
영업/정상
37 
폐업
11 

Length

Max length5
Median length5
Mean length4.3125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 37
77.1%
폐업 11
 
22.9%

Length

2024-04-21T12:23:35.960657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:23:36.245315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 37
77.1%
폐업 11
 
22.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size512.0 B
1
37 
2
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 37
77.1%
2 11
 
22.9%

Length

2024-04-21T12:23:36.579109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:23:36.756451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 37
77.1%
2 11
 
22.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size512.0 B
영업
37 
취소정지업체
11 

Length

Max length6
Median length2
Mean length2.9166667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 37
77.1%
취소정지업체 11
 
22.9%

Length

2024-04-21T12:23:36.953227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:23:37.138406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 37
77.1%
취소정지업체 11
 
22.9%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size560.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size560.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size560.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size560.0 B

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size560.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size560.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size560.0 B

소재지전체주소
Text

MISSING 

Distinct40
Distinct (%)95.2%
Missing6
Missing (%)12.5%
Memory size512.0 B
2024-04-21T12:23:38.071837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length28
Mean length24.714286
Min length19

Characters and Unicode

Total characters1038
Distinct characters95
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)90.5%

Sample

1st row대구광역시 동구 효목동 441-1번지
2nd row대구광역시 동구 괴전동 133-4번지
3rd row대구광역시 동구 신천동 366-6번지
4th row대구광역시 동구 상매동 521-2번지
5th row대구광역시 동구 불로동 823-1번지
ValueCountFrequency (%)
대구광역시 39
 
19.5%
달성군 17
 
8.5%
수성구 8
 
4.0%
동구 6
 
3.0%
북구 5
 
2.5%
가창면 5
 
2.5%
하빈면 5
 
2.5%
용계리 4
 
2.0%
경상북도 3
 
1.5%
다사읍 3
 
1.5%
Other values (91) 105
52.5%
2024-04-21T12:23:39.210911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200
19.3%
구 61
 
5.9%
1 46
 
4.4%
대 41
 
3.9%
시 41
 
3.9%
광 39
 
3.8%
역 39
 
3.8%
지 39
 
3.8%
2 38
 
3.7%
번 35
 
3.4%
Other values (85) 459
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 602
58.0%
Decimal Number 202
 
19.5%
Space Separator 200
 
19.3%
Dash Punctuation 34
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 61
 
10.1%
대 41
 
6.8%
시 41
 
6.8%
광 39
 
6.5%
역 39
 
6.5%
지 39
 
6.5%
번 35
 
5.8%
동 32
 
5.3%
성 31
 
5.1%
군 20
 
3.3%
Other values (73) 224
37.2%
Decimal Number
ValueCountFrequency (%)
1 46
22.8%
2 38
18.8%
3 22
10.9%
5 18
 
8.9%
6 17
 
8.4%
8 14
 
6.9%
4 14
 
6.9%
7 12
 
5.9%
9 11
 
5.4%
0 10
 
5.0%
Space Separator
ValueCountFrequency (%)
200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 602
58.0%
Common 436
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 61
 
10.1%
대 41
 
6.8%
시 41
 
6.8%
광 39
 
6.5%
역 39
 
6.5%
지 39
 
6.5%
번 35
 
5.8%
동 32
 
5.3%
성 31
 
5.1%
군 20
 
3.3%
Other values (73) 224
37.2%
Common
ValueCountFrequency (%)
200
45.9%
1 46
 
10.6%
2 38
 
8.7%
- 34
 
7.8%
3 22
 
5.0%
5 18
 
4.1%
6 17
 
3.9%
8 14
 
3.2%
4 14
 
3.2%
7 12
 
2.8%
Other values (2) 21
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 602
58.0%
ASCII 436
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200
45.9%
1 46
 
10.6%
2 38
 
8.7%
- 34
 
7.8%
3 22
 
5.0%
5 18
 
4.1%
6 17
 
3.9%
8 14
 
3.2%
4 14
 
3.2%
7 12
 
2.8%
Other values (2) 21
 
4.8%
Hangul
ValueCountFrequency (%)
구 61
 
10.1%
대 41
 
6.8%
시 41
 
6.8%
광 39
 
6.5%
역 39
 
6.5%
지 39
 
6.5%
번 35
 
5.8%
동 32
 
5.3%
성 31
 
5.1%
군 20
 
3.3%
Other values (73) 224
37.2%

도로명전체주소
Text

MISSING 

Distinct41
Distinct (%)91.1%
Missing3
Missing (%)6.2%
Memory size512.0 B
2024-04-21T12:23:40.202446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length30
Mean length25.244444
Min length20

Characters and Unicode

Total characters1136
Distinct characters111
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)84.4%

Sample

1st row대구광역시 동구 효목로7길 31 (효목동)
2nd row대구광역시 동구 동내로 6 (괴전동)
3rd row대구광역시 동구 화랑로9길 61 (신천동)
4th row대구광역시 동구 율암로 149-6 (상매동)
5th row대구광역시 동구 공항로 190-1 (불로동)
ValueCountFrequency (%)
대구광역시 43
 
17.8%
달성군 23
 
9.5%
수성구 8
 
3.3%
가창면 6
 
2.5%
동구 6
 
2.5%
하빈면 6
 
2.5%
화원읍 5
 
2.1%
가창로 5
 
2.1%
하빈남로 3
 
1.2%
다사읍 3
 
1.2%
Other values (110) 133
55.2%
2024-04-21T12:23:41.418901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
 
17.3%
구 66
 
5.8%
대 50
 
4.4%
시 45
 
4.0%
광 43
 
3.8%
역 43
 
3.8%
성 42
 
3.7%
1 41
 
3.6%
로 40
 
3.5%
동 35
 
3.1%
Other values (101) 535
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 684
60.2%
Space Separator 196
 
17.3%
Decimal Number 186
 
16.4%
Close Punctuation 23
 
2.0%
Open Punctuation 23
 
2.0%
Dash Punctuation 13
 
1.1%
Other Punctuation 11
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 66
 
9.6%
대 50
 
7.3%
시 45
 
6.6%
광 43
 
6.3%
역 43
 
6.3%
성 42
 
6.1%
로 40
 
5.8%
동 35
 
5.1%
달 28
 
4.1%
군 24
 
3.5%
Other values (86) 268
39.2%
Decimal Number
ValueCountFrequency (%)
1 41
22.0%
2 27
14.5%
5 23
12.4%
4 21
11.3%
0 20
10.8%
3 12
 
6.5%
6 12
 
6.5%
9 12
 
6.5%
8 9
 
4.8%
7 9
 
4.8%
Space Separator
ValueCountFrequency (%)
196
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 684
60.2%
Common 452
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 66
 
9.6%
대 50
 
7.3%
시 45
 
6.6%
광 43
 
6.3%
역 43
 
6.3%
성 42
 
6.1%
로 40
 
5.8%
동 35
 
5.1%
달 28
 
4.1%
군 24
 
3.5%
Other values (86) 268
39.2%
Common
ValueCountFrequency (%)
196
43.4%
1 41
 
9.1%
2 27
 
6.0%
) 23
 
5.1%
5 23
 
5.1%
( 23
 
5.1%
4 21
 
4.6%
0 20
 
4.4%
- 13
 
2.9%
3 12
 
2.7%
Other values (5) 53
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 684
60.2%
ASCII 452
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
43.4%
1 41
 
9.1%
2 27
 
6.0%
) 23
 
5.1%
5 23
 
5.1%
( 23
 
5.1%
4 21
 
4.6%
0 20
 
4.4%
- 13
 
2.9%
3 12
 
2.7%
Other values (5) 53
 
11.7%
Hangul
ValueCountFrequency (%)
구 66
 
9.6%
대 50
 
7.3%
시 45
 
6.6%
광 43
 
6.3%
역 43
 
6.3%
성 42
 
6.1%
로 40
 
5.8%
동 35
 
5.1%
달 28
 
4.1%
군 24
 
3.5%
Other values (86) 268
39.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing35
Missing (%)72.9%
Infinite0
Infinite (%)0.0%
Mean42423.769
Minimum41059
Maximum43004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size560.0 B
2024-04-21T12:23:41.626203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41059
5-th percentile41135.2
Q142189
median42900
Q342929
95-th percentile42981.2
Maximum43004
Range1945
Interquartile range (IQR)740

Descriptive statistics

Standard deviation711.81472
Coefficient of variation (CV)0.016778677
Kurtosis-0.27391192
Mean42423.769
Median Absolute Deviation (MAD)104
Skewness-1.1063924
Sum551509
Variance506680.19
MonotonicityNot monotonic
2024-04-21T12:23:41.833950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
42929 2
 
4.2%
41059 1
 
2.1%
41186 1
 
2.1%
41593 1
 
2.1%
42189 1
 
2.1%
42260 1
 
2.1%
42655 1
 
2.1%
43004 1
 
2.1%
42900 1
 
2.1%
42905 1
 
2.1%
Other values (2) 2
 
4.2%
(Missing) 35
72.9%
ValueCountFrequency (%)
41059 1
2.1%
41186 1
2.1%
41593 1
2.1%
42189 1
2.1%
42260 1
2.1%
42655 1
2.1%
42900 1
2.1%
42905 1
2.1%
42929 2
4.2%
42934 1
2.1%
ValueCountFrequency (%)
43004 1
2.1%
42966 1
2.1%
42934 1
2.1%
42929 2
4.2%
42905 1
2.1%
42900 1
2.1%
42655 1
2.1%
42260 1
2.1%
42189 1
2.1%
41593 1
2.1%

사업장명
Text

Distinct46
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size512.0 B
2024-04-21T12:23:42.551042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9.5
Mean length6.6666667
Min length3

Characters and Unicode

Total characters320
Distinct characters95
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

Unique44 ?
Unique (%)91.7%

Sample

1st row㈜거암
2nd row(주)신서
3rd row㈜경창지오컨설탄트
4th row범환지오텍 주식회사
5th row한일수중펌프
ValueCountFrequency (%)
주식회사 3
 
5.8%
㈜국제지오컨설팅 2
 
3.8%
주)성수개발 2
 
3.8%
우림지질(주 1
 
1.9%
지앤에이치(주 1
 
1.9%
㈜서창이엔지 1
 
1.9%
㈜거암 1
 
1.9%
주)용현건설 1
 
1.9%
송윤성 1
 
1.9%
우림종합중기 1
 
1.9%
Other values (38) 38
73.1%
2024-04-21T12:23:43.535626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 24
 
7.5%
) 21
 
6.6%
( 21
 
6.6%
지 18
 
5.6%
발 14
 
4.4%
개 14
 
4.4%
㈜ 10
 
3.1%
수 9
 
2.8%
건 7
 
2.2%
이 7
 
2.2%
Other values (85) 175
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 264
82.5%
Close Punctuation 21
 
6.6%
Open Punctuation 21
 
6.6%
Other Symbol 10
 
3.1%
Space Separator 4
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 24
 
9.1%
지 18
 
6.8%
발 14
 
5.3%
개 14
 
5.3%
수 9
 
3.4%
건 7
 
2.7%
이 7
 
2.7%
사 6
 
2.3%
설 6
 
2.3%
오 6
 
2.3%
Other values (81) 153
58.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 274
85.6%
Common 46
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 24
 
8.8%
지 18
 
6.6%
발 14
 
5.1%
개 14
 
5.1%
㈜ 10
 
3.6%
수 9
 
3.3%
건 7
 
2.6%
이 7
 
2.6%
사 6
 
2.2%
설 6
 
2.2%
Other values (82) 159
58.0%
Common
ValueCountFrequency (%)
) 21
45.7%
( 21
45.7%
4
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 264
82.5%
ASCII 46
 
14.4%
None 10
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 24
 
9.1%
지 18
 
6.8%
발 14
 
5.3%
개 14
 
5.3%
수 9
 
3.4%
건 7
 
2.7%
이 7
 
2.7%
사 6
 
2.3%
설 6
 
2.3%
오 6
 
2.3%
Other values (81) 153
58.0%
ASCII
ValueCountFrequency (%)
) 21
45.7%
( 21
45.7%
4
 
8.7%
None
ValueCountFrequency (%)
㈜ 10
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0153508 × 1013
Minimum2.0091207 × 1013
Maximum2.0210303 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size560.0 B
2024-04-21T12:23:43.779596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0091207 × 1013
5-th percentile2.010041 × 1013
Q12.0110701 × 1013
median2.0160805 × 1013
Q32.0190297 × 1013
95-th percentile2.0210122 × 1013
Maximum2.0210303 × 1013
Range1.1909596 × 1011
Interquartile range (IQR)7.9596303 × 1010

Descriptive statistics

Standard deviation4.045849 × 1010
Coefficient of variation (CV)0.002007516
Kurtosis-1.5144449
Mean2.0153508 × 1013
Median Absolute Deviation (MAD)3.9656985 × 1010
Skewness-0.15797723
Sum9.6736838 × 1014
Variance1.6368894 × 1021
MonotonicityNot monotonic
2024-04-21T12:23:44.033243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20160704163144 1
 
2.1%
20210122110603 1
 
2.1%
20200102113713 1
 
2.1%
20131213190937 1
 
2.1%
20170307180113 1
 
2.1%
20160906140656 1
 
2.1%
20170925094307 1
 
2.1%
20100423102257 1
 
2.1%
20121115143417 1
 
2.1%
20180827085428 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
20091207134008 1
2.1%
20100108103432 1
2.1%
20100407165657 1
2.1%
20100416141535 1
2.1%
20100423101658 1
2.1%
20100423102134 1
2.1%
20100423102257 1
2.1%
20100423103017 1
2.1%
20100908132447 1
2.1%
20100913090347 1
2.1%
ValueCountFrequency (%)
20210303093425 1
2.1%
20210122152228 1
2.1%
20210122141606 1
2.1%
20210122110603 1
2.1%
20201118111013 1
2.1%
20201015110854 1
2.1%
20200721135433 1
2.1%
20200429112716 1
2.1%
20200226134617 1
2.1%
20200102113713 1
2.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size512.0 B
I
38 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 38
79.2%
U 10
 
20.8%

Length

2024-04-21T12:23:44.259890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:23:44.419187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 38
79.2%
u 10
 
20.8%

데이터갱신일자
Date

Distinct14
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size512.0 B
Minimum2018-08-31 23:59:59
Maximum2021-03-05 00:23:00
2024-04-21T12:23:44.563299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:45.032696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size560.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)91.3%
Missing2
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean337943.66
Minimum202057
Maximum356476.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size560.0 B
2024-04-21T12:23:45.417948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202057
5-th percentile326126.02
Q1335055.53
median341595.94
Q3347363.6
95-th percentile353710.59
Maximum356476.35
Range154419.35
Interquartile range (IQR)12308.07

Descriptive statistics

Standard deviation22203.892
Coefficient of variation (CV)0.06570294
Kurtosis32.47052
Mean337943.66
Median Absolute Deviation (MAD)6236.3136
Skewness-5.274954
Sum15545409
Variance4.9301284 × 108
MonotonicityNot monotonic
2024-04-21T12:23:45.860866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
327254.926809 2
 
4.2%
336337.15808 2
 
4.2%
326126.020934 2
 
4.2%
335091.359493 2
 
4.2%
336278.478987 1
 
2.1%
326088.0 1
 
2.1%
354396.957671108 1
 
2.1%
328528.282371 1
 
2.1%
346693.084827 1
 
2.1%
346594.974213 1
 
2.1%
Other values (32) 32
66.7%
(Missing) 2
 
4.2%
ValueCountFrequency (%)
202057.0 1
2.1%
326088.0 1
2.1%
326126.020934 2
4.2%
327254.926809 2
4.2%
327779.952612 1
2.1%
328528.282371 1
2.1%
330334.973904 1
2.1%
330791.0 1
2.1%
334703.341974 1
2.1%
335043.586174 1
2.1%
ValueCountFrequency (%)
356476.348442 1
2.1%
354396.957671108 1
2.1%
353814.465572 1
2.1%
353398.94358 1
2.1%
350924.05011 1
2.1%
348571.853503 1
2.1%
348355.00624 1
2.1%
348073.107864 1
2.1%
347900.495986 1
2.1%
347764.014973 1
2.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)91.3%
Missing2
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean265833.95
Minimum244374
Maximum418616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size560.0 B
2024-04-21T12:23:46.274555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244374
5-th percentile251568.64
Q1256967.37
median263325.02
Q3265438.33
95-th percentile272570.96
Maximum418616
Range174242
Interquartile range (IQR)8470.9643

Descriptive statistics

Standard deviation24397.425
Coefficient of variation (CV)0.091776935
Kurtosis35.95249
Mean265833.95
Median Absolute Deviation (MAD)4023.502
Skewness5.7146653
Sum12228362
Variance5.9523436 × 108
MonotonicityNot monotonic
2024-04-21T12:23:46.705402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
265496.191813 2
 
4.2%
256834.407501 2
 
4.2%
264094.22627 2
 
4.2%
264527.918012 2
 
4.2%
256678.726194 1
 
2.1%
264046.0 1
 
2.1%
298253.092977182 1
 
2.1%
251030.651509 1
 
2.1%
256487.780188 1
 
2.1%
256965.783085 1
 
2.1%
Other values (32) 32
66.7%
(Missing) 2
 
4.2%
ValueCountFrequency (%)
244374.0 1
2.1%
248747.854959 1
2.1%
251030.651509 1
2.1%
253182.624098 1
2.1%
254734.026287 1
2.1%
256487.780188 1
2.1%
256670.659942 1
2.1%
256678.726194 1
2.1%
256834.407501 2
4.2%
256941.545138 1
2.1%
ValueCountFrequency (%)
418616.0 1
2.1%
298253.092977182 1
2.1%
272641.451378 1
2.1%
272359.486675 1
2.1%
272038.257658 1
2.1%
271949.097056 1
2.1%
267828.470136 1
2.1%
267759.588837 1
2.1%
266715.697771 1
2.1%
266077.818455 1
2.1%

전문인력총수
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size512.0 B
2
39 
4
5 
3
 
3
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
2 39
81.2%
4 5
 
10.4%
3 3
 
6.2%
7 1
 
2.1%

Length

2024-04-21T12:23:47.119844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:23:47.429840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 39
81.2%
4 5
 
10.4%
3 3
 
6.2%
7 1
 
2.1%

자본금
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9615257 × 108
Minimum0
Maximum6.19 × 108
Zeros1
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size560.0 B
2024-04-21T12:23:47.748506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30000000
Q150000000
median1.8 × 108
Q32.6679875 × 108
95-th percentile5.05 × 108
Maximum6.19 × 108
Range6.19 × 108
Interquartile range (IQR)2.1679875 × 108

Descriptive statistics

Standard deviation1.676195 × 108
Coefficient of variation (CV)0.85453632
Kurtosis0.013074149
Mean1.9615257 × 108
Median Absolute Deviation (MAD)1.2973195 × 108
Skewness0.92379751
Sum9.4153234 × 109
Variance2.8096295 × 1016
MonotonicityNot monotonic
2024-04-21T12:23:48.155239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
200000000 4
 
8.3%
30000000 4
 
8.3%
50000000 4
 
8.3%
105000000 3
 
6.2%
250000000 3
 
6.2%
100000000 2
 
4.2%
210000000 2
 
4.2%
505000000 2
 
4.2%
400000000 2
 
4.2%
310000000 2
 
4.2%
Other values (20) 20
41.7%
ValueCountFrequency (%)
0 1
 
2.1%
305000 1
 
2.1%
30000000 4
8.3%
30093000 1
 
2.1%
31000000 1
 
2.1%
34800000 1
 
2.1%
50000000 4
8.3%
50536103 1
 
2.1%
57155000 1
 
2.1%
63000000 1
 
2.1%
ValueCountFrequency (%)
619000000 1
2.1%
600003856 1
2.1%
505000000 2
4.2%
500000000 1
2.1%
410000000 1
2.1%
405000000 1
2.1%
400000000 2
4.2%
310000000 2
4.2%
302195000 1
2.1%
255000000 1
2.1%

시설장비
Text

MISSING 

Distinct25
Distinct (%)92.6%
Missing21
Missing (%)43.8%
Memory size512.0 B
2024-04-21T12:23:48.885793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length26
Mean length22.62963
Min length8

Characters and Unicode

Total characters611
Distinct characters91
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)85.2%

Sample

1st row1. 시추기 2 2. 공기압축기 1
2nd row천공기-등록번호:대구22-5125 형식:17W 규격:30M/min
3rd row1. 시추기 1
4th row시추기 : HI-1001 1대 임대 공기압축기 : XRVS487CD(29.8㎥/min) 1대 임대
5th row1. 시추기 1 2. 공기압축기 1
ValueCountFrequency (%)
1 19
16.5%
1대 15
13.0%
공기압축기 14
12.2%
시추기 10
 
8.7%
2 8
 
7.0%
6
 
5.2%
천공기 4
 
3.5%
임대 3
 
2.6%
o 2
 
1.7%
관정착정기 1
 
0.9%
Other values (33) 33
28.7%
2024-04-21T12:23:50.057662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
11.5%
기 64
 
10.5%
1 46
 
7.5%
공 27
 
4.4%
2 26
 
4.3%
대 25
 
4.1%
. 21
 
3.4%
0 21
 
3.4%
19
 
3.1%
압 17
 
2.8%
Other values (81) 275
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
41.9%
Decimal Number 132
21.6%
Space Separator 70
 
11.5%
Uppercase Letter 40
 
6.5%
Other Punctuation 37
 
6.1%
Control 19
 
3.1%
Close Punctuation 15
 
2.5%
Open Punctuation 15
 
2.5%
Lowercase Letter 14
 
2.3%
Dash Punctuation 11
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 64
25.0%
공 27
10.5%
대 25
 
9.8%
압 17
 
6.6%
축 16
 
6.2%
추 13
 
5.1%
시 13
 
5.1%
천 10
 
3.9%
착 8
 
3.1%
정 7
 
2.7%
Other values (37) 56
21.9%
Uppercase Letter
ValueCountFrequency (%)
D 5
 
12.5%
C 3
 
7.5%
O 3
 
7.5%
T 3
 
7.5%
H 3
 
7.5%
P 2
 
5.0%
A 2
 
5.0%
W 2
 
5.0%
X 2
 
5.0%
M 2
 
5.0%
Other values (11) 13
32.5%
Decimal Number
ValueCountFrequency (%)
1 46
34.8%
2 26
19.7%
0 21
15.9%
5 12
 
9.1%
3 10
 
7.6%
7 5
 
3.8%
4 4
 
3.0%
8 4
 
3.0%
9 4
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 21
56.8%
: 7
 
18.9%
/ 4
 
10.8%
, 4
 
10.8%
* 1
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
m 8
57.1%
i 3
 
21.4%
n 3
 
21.4%
Space Separator
ValueCountFrequency (%)
70
100.0%
Control
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Symbol
ValueCountFrequency (%)
㎥ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 301
49.3%
Hangul 256
41.9%
Latin 54
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 64
25.0%
공 27
10.5%
대 25
 
9.8%
압 17
 
6.6%
축 16
 
6.2%
추 13
 
5.1%
시 13
 
5.1%
천 10
 
3.9%
착 8
 
3.1%
정 7
 
2.7%
Other values (37) 56
21.9%
Latin
ValueCountFrequency (%)
m 8
14.8%
D 5
 
9.3%
i 3
 
5.6%
n 3
 
5.6%
C 3
 
5.6%
O 3
 
5.6%
T 3
 
5.6%
H 3
 
5.6%
P 2
 
3.7%
A 2
 
3.7%
Other values (14) 19
35.2%
Common
ValueCountFrequency (%)
70
23.3%
1 46
15.3%
2 26
 
8.6%
. 21
 
7.0%
0 21
 
7.0%
19
 
6.3%
) 15
 
5.0%
( 15
 
5.0%
5 12
 
4.0%
- 11
 
3.7%
Other values (10) 45
15.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 353
57.8%
Hangul 256
41.9%
CJK Compat 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
19.8%
1 46
13.0%
2 26
 
7.4%
. 21
 
5.9%
0 21
 
5.9%
19
 
5.4%
) 15
 
4.2%
( 15
 
4.2%
5 12
 
3.4%
- 11
 
3.1%
Other values (33) 97
27.5%
Hangul
ValueCountFrequency (%)
기 64
25.0%
공 27
10.5%
대 25
 
9.8%
압 17
 
6.6%
축 16
 
6.2%
추 13
 
5.1%
시 13
 
5.1%
천 10
 
3.9%
착 8
 
3.1%
정 7
 
2.7%
Other values (37) 56
21.9%
CJK Compat
ValueCountFrequency (%)
㎥ 2
100.0%

타기관이전여부
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size512.0 B
0
39 
1
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 39
81.2%
1 9
 
18.8%

Length

2024-04-21T12:23:50.271212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:23:50.431674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 39
81.2%
1 9
 
18.8%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
01지하수시공업체09_29_01_P3420000C001752110004691L0020160608<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 효목동 441-1번지대구광역시 동구 효목로7길 31 (효목동)<NA>㈜거암20160704163144I2018-08-31 23:59:59.0<NA>347764.014973265264.76225322000000001. 시추기 2 2. 공기압축기 11
12지하수시공업체09_29_01_P3420000C001701110367426L0020090128201109203폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 괴전동 133-4번지대구광역시 동구 동내로 6 (괴전동)<NA>(주)신서20120712094521I2018-08-31 23:59:59.0<NA>356476.348442264941.7601172255000000천공기-등록번호:대구22-5125 형식:17W 규격:30M/min0
23지하수시공업체09_29_01_P3420000C001748110011934L0019990826201207093폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신천동 366-6번지대구광역시 동구 화랑로9길 61 (신천동)<NA>㈜경창지오컨설탄트20120712093722I2018-08-31 23:59:59.0<NA>347127.396363264691.39183631000000001. 시추기 10
34지하수시공업체09_29_01_P3420000C001760110053360L0020141205<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 상매동 521-2번지대구광역시 동구 율암로 149-6 (상매동)41059범환지오텍 주식회사20181207110947U2018-12-09 02:40:00.0<NA>353814.465572266715.697771250000000<NA>0
45지하수시공업체09_29_01_P3420000C00501146704400000020040714<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 불로동 823-1번지대구광역시 동구 공항로 190-1 (불로동)<NA>한일수중펌프20170208172332I2018-08-31 23:59:59.0<NA>347526.586815267828.4701362600003856시추기 : HI-1001 1대 임대 공기압축기 : XRVS487CD(29.8㎥/min) 1대 임대1
56지하수시공업체09_29_01_P3420000C00720215176771100020160405<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 지묘동 333번지 801호대구광역시 동구 아양로47길 45, 102호 (신암동)41186우진개발20190530081636U2019-06-01 02:40:00.0<NA>347900.495986272359.486675277250000<NA>0
67지하수시공업체09_29_01_P3440000C001747110014211L0020020831<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>경상북도 영천시 야사동 415-1 번지<NA><NA>(주)태흥개발20100908132447I2018-08-31 23:59:59.0<NA><NA><NA>41050000001. 시추기 1 2. 공기압축기 10
78지하수시공업체09_29_01_P3440000C001714110005300L0019991215<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 남구 대명동 2033-28번지대구광역시 남구 명덕로 212-1 (대명동)<NA>수창개발(주)20100924150753I2018-08-31 23:59:59.0<NA>343857.119506262989.31777221050000001. 시추기 10
89지하수시공업체09_29_01_P3450000C001751110023057L0020160607<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>경기도 수원시 팔달구 인계로 55 (인계동)<NA>(주)성수개발20170322111906I2018-08-31 23:59:59.0<NA>202057.0418616.0250000000<NA>0
910지하수시공업체09_29_01_P3450000C00340104168431700020070612200706123폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 관음동 1343-16번지 14통2반대구광역시 북구 관음동로13길 22-1 (관음동)<NA>정석규20100108103432I2018-08-31 23:59:59.0<NA>339318.532623272038.25765820<NA>0
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
3839지하수시공업체09_29_01_P3480000C00615036153300000019980402<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 용계리 59번지대구광역시 달성군 가창면 가창로 1097-4<NA>대원지질개발20100423102134I2018-08-31 23:59:59.0<NA>346547.013083256972.1310632630000001. 시추기 1대 2. 운반차량 1대0
3940지하수시공업체09_29_01_P3480000C00514238890200000020100528<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 538 2층대구광역시 달성군 다사읍 서재본길 11 (2층)<NA>광성엔지니어링20201118111013U2020-11-20 02:40:00.0<NA>335043.586174264551.182967230000000착정기1대(임대) 공기압축기1대(임대)0
4041지하수시공업체09_29_01_P3480000C001714110012420L0020091130<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 우록리 1023-1번지대구광역시 달성군 가창면 우록길 442-6<NA>옥천개발(주)20171116183151I2018-08-31 23:59:59.0<NA>346954.000598248747.854959250536103<NA>0
4142지하수시공업체09_29_01_P3480000C001701110522989L0020141203<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 가창로 778<NA>지앤에이치(주)20160406103420I2018-08-31 23:59:59.0<NA>348571.853503254734.0262872200000000<NA>0
4243지하수시공업체09_29_01_P3480000C001701110347163L0020080324<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 하빈면 봉촌리 991-2번지대구광역시 달성군 하빈면 하빈남로 504-34<NA>우림지질(주)20200226134617U2020-02-28 02:40:00.0<NA>326126.020934264094.226272302195000<NA>0
4344지하수시공업체09_29_01_P3480000C001701110286296L0020100204<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 천내리 128-4번지대구광역시 달성군 화원읍 화원로 25<NA>(주)베스트텍건설20100423101658I2018-08-31 23:59:59.0<NA>335459.259018257310.5738822400000000<NA>0
4445지하수시공업체09_29_01_P3480000C001701110217267L0020200122<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 서재리 161-1대구광역시 달성군 다사읍 서재본길 5, 3층42929㈜서창이엔지20210122152228U2021-01-24 02:40:00.0<NA>335091.359493264527.9180122405000000<NA>0
4546지하수시공업체09_29_01_P3480000C001701110127656L0019980213<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 용계리 75번지대구광역시 달성군 가창면 가창로 1094, 3층<NA>㈜명성토건20190219173325U2019-02-21 02:40:00.0<NA>346601.694982256941.5451382160000000<NA>0
4647지하수시공업체09_29_01_P3480000C001701110060799L0019980408<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 성산리 512-13번지대구광역시 달성군 화원읍 성화로 18<NA>㈜국제지오컨설팅20150312100749I2018-08-31 23:59:59.0<NA>334703.341974256670.6599422250000000<NA>1
4748지하수시공업체09_29_01_P3480000C001750110006386L0020020422<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 금포리 1937번지대구광역시 달성군 논공읍 비슬로 1708<NA>㈜용수개발20100913090347I2018-08-31 23:59:59.0<NA>327779.952612253182.62409821050000001. 시추기 1 2. 공기압축기10