Overview

Dataset statistics

Number of variables32
Number of observations43
Missing cells441
Missing cells (%)32.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory280.1 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_0000075416&dataSetDetailId=DDI_0000075451&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
데이터갱신구분 is highly imbalanced (55.4%)Imbalance
전문인력총수 is highly imbalanced (52.3%)Imbalance
인허가취소일자 has 32 (74.4%) missing valuesMissing
폐업일자 has 43 (100.0%) missing valuesMissing
휴업시작일자 has 43 (100.0%) missing valuesMissing
휴업종료일자 has 43 (100.0%) missing valuesMissing
재개업일자 has 43 (100.0%) missing valuesMissing
소재지전화 has 43 (100.0%) missing valuesMissing
소재지면적 has 43 (100.0%) missing valuesMissing
소재지우편번호 has 43 (100.0%) missing valuesMissing
소재지전체주소 has 5 (11.6%) missing valuesMissing
도로명전체주소 has 3 (7.0%) missing valuesMissing
도로명우편번호 has 35 (81.4%) missing valuesMissing
업태구분명 has 43 (100.0%) missing valuesMissing
좌표정보(X) has 2 (4.7%) missing valuesMissing
좌표정보(Y) has 2 (4.7%) missing valuesMissing
시설장비 has 18 (41.9%) 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 (2.3%) zerosZeros

Reproduction

Analysis started2024-04-22 00:16:35.255938
Analysis finished2024-04-22 00:16:35.653026
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-22T09:16:35.720990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q111.5
median22
Q332.5
95-th percentile40.9
Maximum43
Range42
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.556539
Coefficient of variation (CV)0.57075176
Kurtosis-1.2
Mean22
Median Absolute Deviation (MAD)11
Skewness0
Sum946
Variance157.66667
MonotonicityStrictly increasing
2024-04-22T09:16:35.845608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 1
 
2.3%
2 1
 
2.3%
25 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%
34 1
2.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
지하수시공업체
43 

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 43
100.0%

Length

2024-04-22T09:16:35.960209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:16:36.057800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하수시공업체 43
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
09_29_01_P
43 

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 43
100.0%

Length

2024-04-22T09:16:36.152719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:16:36.243149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_29_01_p 43
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3463023.3
Minimum3420000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-22T09:16:36.326046image/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 deviation21551.144
Coefficient of variation (CV)0.0062232168
Kurtosis-0.28595062
Mean3463023.3
Median Absolute Deviation (MAD)0
Skewness-1.0106467
Sum1.4891 × 108
Variance4.6445183 × 108
MonotonicityIncreasing
2024-04-22T09:16:36.421841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3480000 22
51.2%
3420000 6
 
14.0%
3460000 6
 
14.0%
3450000 5
 
11.6%
3440000 2
 
4.7%
3470000 2
 
4.7%
ValueCountFrequency (%)
3420000 6
 
14.0%
3440000 2
 
4.7%
3450000 5
 
11.6%
3460000 6
 
14.0%
3470000 2
 
4.7%
3480000 22
51.2%
ValueCountFrequency (%)
3480000 22
51.2%
3470000 2
 
4.7%
3460000 6
 
14.0%
3450000 5
 
11.6%
3440000 2
 
4.7%
3420000 6
 
14.0%

관리번호
Text

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-04-22T09:16:36.625029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters817
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

Unique39 ?
Unique (%)90.7%

Sample

1st rowC007202151767711000
2nd rowC001760110053360L00
3rd rowC001752110004691L00
4th rowC005011467044000000
5th rowC001748110011934L00
ValueCountFrequency (%)
c001701110060799l00 2
 
4.7%
c001751110023057l00 2
 
4.7%
c001743110010184l00 1
 
2.3%
c005142388902000000 1
 
2.3%
c007404202682714000 1
 
2.3%
c001701110217267l00 1
 
2.3%
c007202151767711000 1
 
2.3%
c002301110069623l00 1
 
2.3%
c001701110347163l00 1
 
2.3%
c001701110522989l00 1
 
2.3%
Other values (31) 31
72.1%
2024-04-22T09:16:36.976060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 330
40.4%
1 145
17.7%
7 60
 
7.3%
C 43
 
5.3%
4 42
 
5.1%
2 36
 
4.4%
5 33
 
4.0%
6 32
 
3.9%
L 29
 
3.5%
3 29
 
3.5%
Other values (2) 38
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 745
91.2%
Uppercase Letter 72
 
8.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 330
44.3%
1 145
19.5%
7 60
 
8.1%
4 42
 
5.6%
2 36
 
4.8%
5 33
 
4.4%
6 32
 
4.3%
3 29
 
3.9%
8 21
 
2.8%
9 17
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
C 43
59.7%
L 29
40.3%

Most occurring scripts

ValueCountFrequency (%)
Common 745
91.2%
Latin 72
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 330
44.3%
1 145
19.5%
7 60
 
8.1%
4 42
 
5.6%
2 36
 
4.8%
5 33
 
4.4%
6 32
 
4.3%
3 29
 
3.9%
8 21
 
2.8%
9 17
 
2.3%
Latin
ValueCountFrequency (%)
C 43
59.7%
L 29
40.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 817
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 330
40.4%
1 145
17.7%
7 60
 
7.3%
C 43
 
5.3%
4 42
 
5.1%
2 36
 
4.4%
5 33
 
4.0%
6 32
 
3.9%
L 29
 
3.5%
3 29
 
3.5%
Other values (2) 38
 
4.7%

인허가일자
Real number (ℝ)

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20079204
Minimum19980124
Maximum20180622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-22T09:16:37.111697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980124
5-th percentile19980233
Q120020208
median20090128
Q320141066
95-th percentile20169342
Maximum20180622
Range200498
Interquartile range (IQR)120858

Descriptive statistics

Standard deviation68267.442
Coefficient of variation (CV)0.0033999078
Kurtosis-1.3658639
Mean20079204
Median Absolute Deviation (MAD)69297
Skewness-0.1864279
Sum8.6340577 × 108
Variance4.6604436 × 109
MonotonicityNot monotonic
2024-04-22T09:16:37.243635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
19980408 2
 
4.7%
20160405 1
 
2.3%
19980213 1
 
2.3%
20080324 1
 
2.3%
20141203 1
 
2.3%
20091130 1
 
2.3%
20100528 1
 
2.3%
19980402 1
 
2.3%
20020311 1
 
2.3%
20180330 1
 
2.3%
Other values (32) 32
74.4%
ValueCountFrequency (%)
19980124 1
2.3%
19980213 1
2.3%
19980224 1
2.3%
19980317 1
2.3%
19980402 1
2.3%
19980408 2
4.7%
19990826 1
2.3%
19991215 1
2.3%
20001208 1
2.3%
20020105 1
2.3%
ValueCountFrequency (%)
20180622 1
2.3%
20180330 1
2.3%
20170301 1
2.3%
20160708 1
2.3%
20160608 1
2.3%
20160607 1
2.3%
20160405 1
2.3%
20160308 1
2.3%
20150918 1
2.3%
20141205 1
2.3%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing32
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean20114125
Minimum20070612
Maximum20170317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-22T09:16:37.361677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070612
5-th percentile20075458
Q120100420
median20110825
Q320125467
95-th percentile20160314
Maximum20170317
Range99705
Interquartile range (IQR)25047.5

Descriptive statistics

Standard deviation28667.29
Coefficient of variation (CV)0.0014252317
Kurtosis0.37148864
Mean20114125
Median Absolute Deviation (MAD)10409
Skewness0.53394534
Sum2.2125538 × 108
Variance8.218135 × 108
MonotonicityNot monotonic
2024-04-22T09:16:37.469016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20120709 1
 
2.3%
20110920 1
 
2.3%
20130225 1
 
2.3%
20100416 1
 
2.3%
20070612 1
 
2.3%
20080304 1
 
2.3%
20110314 1
 
2.3%
20110825 1
 
2.3%
20150311 1
 
2.3%
20100423 1
 
2.3%
(Missing) 32
74.4%
ValueCountFrequency (%)
20070612 1
2.3%
20080304 1
2.3%
20100416 1
2.3%
20100423 1
2.3%
20110314 1
2.3%
20110825 1
2.3%
20110920 1
2.3%
20120709 1
2.3%
20130225 1
2.3%
20150311 1
2.3%
ValueCountFrequency (%)
20170317 1
2.3%
20150311 1
2.3%
20130225 1
2.3%
20120709 1
2.3%
20110920 1
2.3%
20110825 1
2.3%
20110314 1
2.3%
20100423 1
2.3%
20100416 1
2.3%
20080304 1
2.3%

영업상태구분코드
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
32 
3
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
74.4%
3 11
 
25.6%

Length

2024-04-22T09:16:37.585092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:16:37.678920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
74.4%
3 11
 
25.6%

영업상태명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
영업/정상
32 
폐업
11 

Length

Max length5
Median length5
Mean length4.2325581
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 32
74.4%
폐업 11
 
25.6%

Length

2024-04-22T09:16:37.832161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:16:37.938593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 32
74.4%
폐업 11
 
25.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
32 
2
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
74.4%
2 11
 
25.6%

Length

2024-04-22T09:16:38.029741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:16:38.119003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
74.4%
2 11
 
25.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
영업
32 
취소정지업체
11 

Length

Max length6
Median length2
Mean length3.0232558
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 32
74.4%
취소정지업체 11
 
25.6%

Length

2024-04-22T09:16:38.232074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:16:38.340982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 32
74.4%
취소정지업체 11
 
25.6%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소재지전화
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소재지전체주소
Text

MISSING 

Distinct36
Distinct (%)94.7%
Missing5
Missing (%)11.6%
Memory size476.0 B
2024-04-22T09:16:38.554463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length27.5
Mean length24.973684
Min length21

Characters and Unicode

Total characters949
Distinct characters96
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

Unique34 ?
Unique (%)89.5%

Sample

1st row대구광역시 동구 지묘동 333번지 801호
2nd row대구광역시 동구 상매동 521-2번지
3rd row대구광역시 동구 효목동 441-1번지
4th row대구광역시 동구 불로동 823-1번지
5th row대구광역시 동구 신천동 366-6번지
ValueCountFrequency (%)
대구광역시 36
 
20.1%
달성군 16
 
8.9%
수성구 6
 
3.4%
동구 6
 
3.4%
북구 5
 
2.8%
하빈면 5
 
2.8%
가창면 5
 
2.8%
용계리 4
 
2.2%
관음동 3
 
1.7%
달서구 2
 
1.1%
Other values (80) 91
50.8%
2024-04-22T09:16:38.947307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
181
19.1%
구 56
 
5.9%
지 41
 
4.3%
1 40
 
4.2%
시 38
 
4.0%
대 37
 
3.9%
번 37
 
3.9%
역 36
 
3.8%
광 36
 
3.8%
- 30
 
3.2%
Other values (86) 417
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 557
58.7%
Space Separator 181
 
19.1%
Decimal Number 181
 
19.1%
Dash Punctuation 30
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 56
 
10.1%
지 41
 
7.4%
시 38
 
6.8%
대 37
 
6.6%
번 37
 
6.6%
역 36
 
6.5%
광 36
 
6.5%
동 29
 
5.2%
성 27
 
4.8%
군 18
 
3.2%
Other values (74) 202
36.3%
Decimal Number
ValueCountFrequency (%)
1 40
22.1%
2 30
16.6%
3 21
11.6%
4 16
 
8.8%
5 15
 
8.3%
8 14
 
7.7%
6 14
 
7.7%
7 12
 
6.6%
9 11
 
6.1%
0 8
 
4.4%
Space Separator
ValueCountFrequency (%)
181
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 557
58.7%
Common 392
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 56
 
10.1%
지 41
 
7.4%
시 38
 
6.8%
대 37
 
6.6%
번 37
 
6.6%
역 36
 
6.5%
광 36
 
6.5%
동 29
 
5.2%
성 27
 
4.8%
군 18
 
3.2%
Other values (74) 202
36.3%
Common
ValueCountFrequency (%)
181
46.2%
1 40
 
10.2%
- 30
 
7.7%
2 30
 
7.7%
3 21
 
5.4%
4 16
 
4.1%
5 15
 
3.8%
8 14
 
3.6%
6 14
 
3.6%
7 12
 
3.1%
Other values (2) 19
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 557
58.7%
ASCII 392
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
181
46.2%
1 40
 
10.2%
- 30
 
7.7%
2 30
 
7.7%
3 21
 
5.4%
4 16
 
4.1%
5 15
 
3.8%
8 14
 
3.6%
6 14
 
3.6%
7 12
 
3.1%
Other values (2) 19
 
4.8%
Hangul
ValueCountFrequency (%)
구 56
 
10.1%
지 41
 
7.4%
시 38
 
6.8%
대 37
 
6.6%
번 37
 
6.6%
역 36
 
6.5%
광 36
 
6.5%
동 29
 
5.2%
성 27
 
4.8%
군 18
 
3.2%
Other values (74) 202
36.3%

도로명전체주소
Text

MISSING 

Distinct38
Distinct (%)95.0%
Missing3
Missing (%)7.0%
Memory size476.0 B
2024-04-22T09:16:39.266626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length28
Mean length25.125
Min length20

Characters and Unicode

Total characters1005
Distinct characters107
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

Unique36 ?
Unique (%)90.0%

Sample

1st row대구광역시 동구 아양로47길 45, 102호 (신암동)
2nd row대구광역시 동구 율암로 149-6 (상매동)
3rd row대구광역시 동구 효목로7길 31 (효목동)
4th row대구광역시 동구 공항로 190-1 (불로동)
5th row대구광역시 동구 화랑로9길 61 (신천동)
ValueCountFrequency (%)
대구광역시 38
 
17.8%
달성군 20
 
9.4%
수성구 6
 
2.8%
동구 6
 
2.8%
가창면 6
 
2.8%
화원읍 5
 
2.3%
가창로 5
 
2.3%
하빈면 5
 
2.3%
북구 3
 
1.4%
달서구 2
 
0.9%
Other values (104) 117
54.9%
2024-04-22T09:16:39.721925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
173
 
17.2%
구 58
 
5.8%
대 44
 
4.4%
1 40
 
4.0%
시 40
 
4.0%
역 38
 
3.8%
광 38
 
3.8%
성 37
 
3.7%
로 37
 
3.7%
동 33
 
3.3%
Other values (97) 467
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 605
60.2%
Space Separator 173
 
17.2%
Decimal Number 165
 
16.4%
Open Punctuation 21
 
2.1%
Close Punctuation 21
 
2.1%
Dash Punctuation 12
 
1.2%
Other Punctuation 8
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 58
 
9.6%
대 44
 
7.3%
시 40
 
6.6%
역 38
 
6.3%
광 38
 
6.3%
성 37
 
6.1%
로 37
 
6.1%
동 33
 
5.5%
달 24
 
4.0%
군 21
 
3.5%
Other values (82) 235
38.8%
Decimal Number
ValueCountFrequency (%)
1 40
24.2%
2 24
14.5%
4 19
11.5%
0 18
10.9%
5 17
10.3%
9 11
 
6.7%
6 11
 
6.7%
8 9
 
5.5%
3 8
 
4.8%
7 8
 
4.8%
Space Separator
ValueCountFrequency (%)
173
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 605
60.2%
Common 400
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 58
 
9.6%
대 44
 
7.3%
시 40
 
6.6%
역 38
 
6.3%
광 38
 
6.3%
성 37
 
6.1%
로 37
 
6.1%
동 33
 
5.5%
달 24
 
4.0%
군 21
 
3.5%
Other values (82) 235
38.8%
Common
ValueCountFrequency (%)
173
43.2%
1 40
 
10.0%
2 24
 
6.0%
( 21
 
5.2%
) 21
 
5.2%
4 19
 
4.8%
0 18
 
4.5%
5 17
 
4.2%
- 12
 
3.0%
9 11
 
2.8%
Other values (5) 44
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 605
60.2%
ASCII 400
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
173
43.2%
1 40
 
10.0%
2 24
 
6.0%
( 21
 
5.2%
) 21
 
5.2%
4 19
 
4.8%
0 18
 
4.5%
5 17
 
4.2%
- 12
 
3.0%
9 11
 
2.8%
Other values (5) 44
 
11.0%
Hangul
ValueCountFrequency (%)
구 58
 
9.6%
대 44
 
7.3%
시 40
 
6.6%
역 38
 
6.3%
광 38
 
6.3%
성 37
 
6.1%
로 37
 
6.1%
동 33
 
5.5%
달 24
 
4.0%
군 21
 
3.5%
Other values (82) 235
38.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing35
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean42185.25
Minimum41059
Maximum42966
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-22T09:16:39.843957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41059
5-th percentile41103.45
Q141491.25
median42422
Q342908.5
95-th percentile42954.8
Maximum42966
Range1907
Interquartile range (IQR)1417.25

Descriptive statistics

Standard deviation803.51402
Coefficient of variation (CV)0.019047274
Kurtosis-1.8365491
Mean42185.25
Median Absolute Deviation (MAD)528
Skewness-0.46614336
Sum337482
Variance645634.79
MonotonicityNot monotonic
2024-04-22T09:16:40.326738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
41186 1
 
2.3%
41059 1
 
2.3%
41593 1
 
2.3%
42189 1
 
2.3%
42655 1
 
2.3%
42966 1
 
2.3%
42934 1
 
2.3%
42900 1
 
2.3%
(Missing) 35
81.4%
ValueCountFrequency (%)
41059 1
2.3%
41186 1
2.3%
41593 1
2.3%
42189 1
2.3%
42655 1
2.3%
42900 1
2.3%
42934 1
2.3%
42966 1
2.3%
ValueCountFrequency (%)
42966 1
2.3%
42934 1
2.3%
42900 1
2.3%
42655 1
2.3%
42189 1
2.3%
41593 1
2.3%
41186 1
2.3%
41059 1
2.3%

사업장명
Text

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-04-22T09:16:40.558699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.5813953
Min length3

Characters and Unicode

Total characters283
Distinct characters89
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

Unique39 ?
Unique (%)90.7%

Sample

1st row우진개발
2nd row범환지오텍 주식회사
3rd row㈜거암
4th row한일수중펌프
5th row㈜경창지오컨설탄트
ValueCountFrequency (%)
㈜국제지오컨설팅 2
 
4.4%
주)성수개발 2
 
4.4%
주)정우개발 1
 
2.2%
이앤씨 1
 
2.2%
송윤성 1
 
2.2%
㈜서창이엔지 1
 
2.2%
우진개발 1
 
2.2%
주)용현건설 1
 
2.2%
우림지질(주 1
 
2.2%
지앤에이치(주 1
 
2.2%
Other values (33) 33
73.3%
2024-04-22T09:16:40.934409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 20
 
7.1%
( 19
 
6.7%
) 19
 
6.7%
지 16
 
5.7%
발 13
 
4.6%
개 13
 
4.6%
㈜ 10
 
3.5%
수 9
 
3.2%
건 7
 
2.5%
이 7
 
2.5%
Other values (79) 150
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
82.3%
Open Punctuation 19
 
6.7%
Close Punctuation 19
 
6.7%
Other Symbol 10
 
3.5%
Space Separator 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 20
 
8.6%
지 16
 
6.9%
발 13
 
5.6%
개 13
 
5.6%
수 9
 
3.9%
건 7
 
3.0%
이 7
 
3.0%
설 6
 
2.6%
성 5
 
2.1%
오 5
 
2.1%
Other values (75) 132
56.7%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
85.9%
Common 40
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 20
 
8.2%
지 16
 
6.6%
발 13
 
5.3%
개 13
 
5.3%
㈜ 10
 
4.1%
수 9
 
3.7%
건 7
 
2.9%
이 7
 
2.9%
설 6
 
2.5%
성 5
 
2.1%
Other values (76) 137
56.4%
Common
ValueCountFrequency (%)
( 19
47.5%
) 19
47.5%
2
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233
82.3%
ASCII 40
 
14.1%
None 10
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 20
 
8.6%
지 16
 
6.9%
발 13
 
5.6%
개 13
 
5.6%
수 9
 
3.9%
건 7
 
3.0%
이 7
 
3.0%
설 6
 
2.6%
성 5
 
2.1%
오 5
 
2.1%
Other values (75) 132
56.7%
ASCII
ValueCountFrequency (%)
( 19
47.5%
) 19
47.5%
2
 
5.0%
None
ValueCountFrequency (%)
㈜ 10
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0141532 × 1013
Minimum2.0091207 × 1013
Maximum2.0190925 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-22T09:16:41.096003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0091207 × 1013
5-th percentile2.0100408 × 1013
Q12.0100919 × 1013
median2.0150312 × 1013
Q32.0170707 × 1013
95-th percentile2.0190209 × 1013
Maximum2.0190925 × 1013
Range9.9717968 × 1010
Interquartile range (IQR)6.9788531 × 1010

Descriptive statistics

Standard deviation3.445717 × 1010
Coefficient of variation (CV)0.0017107522
Kurtosis-1.6766891
Mean2.0141532 × 1013
Median Absolute Deviation (MAD)3.0310053 × 1010
Skewness-0.038205664
Sum8.6608588 × 1014
Variance1.1872965 × 1021
MonotonicityNot monotonic
2024-04-22T09:16:41.231663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
20190530081636 1
 
2.3%
20181207110947 1
 
2.3%
20100423101658 1
 
2.3%
20170118165924 1
 
2.3%
20160406103420 1
 
2.3%
20171116183151 1
 
2.3%
20100528105137 1
 
2.3%
20100423102134 1
 
2.3%
20170613152201 1
 
2.3%
20190925101932 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
20091207134008 1
2.3%
20100108103432 1
2.3%
20100407165657 1
2.3%
20100416141535 1
2.3%
20100423101658 1
2.3%
20100423102134 1
2.3%
20100423102257 1
2.3%
20100423103017 1
2.3%
20100528105137 1
2.3%
20100908132447 1
2.3%
ValueCountFrequency (%)
20190925101932 1
2.3%
20190530081636 1
2.3%
20190219173325 1
2.3%
20190114141742 1
2.3%
20181207110947 1
2.3%
20180827085428 1
2.3%
20180622153256 1
2.3%
20180612113157 1
2.3%
20171116183151 1
2.3%
20170925094307 1
2.3%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
I
39 
U
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 39
90.7%
U 4
 
9.3%

Length

2024-04-22T09:16:41.359768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:16:41.467308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 39
90.7%
u 4
 
9.3%

데이터갱신일자
Date

Distinct6
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2018-08-31 23:59:59
Maximum2019-09-27 02:40:00
2024-04-22T09:16:41.556504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:16:41.671671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)92.7%
Missing2
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean337918.84
Minimum202057
Maximum356476.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-22T09:16:41.792853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202057
5-th percentile326126.02
Q1335134.32
median343260.64
Q3347127.4
95-th percentile353814.47
Maximum356476.35
Range154419.35
Interquartile range (IQR)11993.079

Descriptive statistics

Standard deviation23300.712
Coefficient of variation (CV)0.068953577
Kurtosis30.388479
Mean337918.84
Median Absolute Deviation (MAD)4812.4685
Skewness-5.1627719
Sum13854672
Variance5.429232 × 108
MonotonicityNot monotonic
2024-04-22T09:16:41.923920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
326126.020934 2
 
4.7%
336337.15808 2
 
4.7%
327254.926809 2
 
4.7%
335134.317675 1
 
2.3%
335459.259018 1
 
2.3%
348571.853503 1
 
2.3%
346954.000598 1
 
2.3%
335043.586174 1
 
2.3%
346547.013083 1
 
2.3%
347065.258082 1
 
2.3%
Other values (28) 28
65.1%
(Missing) 2
 
4.7%
ValueCountFrequency (%)
202057.0 1
2.3%
326126.020934 2
4.7%
327254.926809 2
4.7%
327779.952612 1
2.3%
328528.282371 1
2.3%
330334.973904 1
2.3%
334703.341974 1
2.3%
335043.586174 1
2.3%
335134.317675 1
2.3%
335459.259018 1
2.3%
ValueCountFrequency (%)
356476.348442 1
2.3%
354396.957671108 1
2.3%
353814.465572 1
2.3%
353398.94358 1
2.3%
348571.853503 1
2.3%
348073.107864 1
2.3%
347900.495986 1
2.3%
347764.014973 1
2.3%
347526.586815 1
2.3%
347442.333238 1
2.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)92.7%
Missing2
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean266570.08
Minimum248747.85
Maximum418616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-22T09:16:42.060725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum248747.85
5-th percentile253182.62
Q1256941.55
median263418.22
Q3265496.19
95-th percentile272641.45
Maximum418616
Range169868.15
Interquartile range (IQR)8554.6467

Descriptive statistics

Standard deviation25636.724
Coefficient of variation (CV)0.096172549
Kurtosis32.789392
Mean266570.08
Median Absolute Deviation (MAD)4410.2509
Skewness5.4965666
Sum10929373
Variance6.5724159 × 108
MonotonicityNot monotonic
2024-04-22T09:16:42.203078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
264094.22627 2
 
4.7%
256834.407501 2
 
4.7%
265496.191813 2
 
4.7%
264492.687343 1
 
2.3%
257310.573882 1
 
2.3%
254734.026287 1
 
2.3%
248747.854959 1
 
2.3%
264551.182967 1
 
2.3%
256972.131063 1
 
2.3%
256293.424664 1
 
2.3%
Other values (28) 28
65.1%
(Missing) 2
 
4.7%
ValueCountFrequency (%)
248747.854959 1
2.3%
251030.651509 1
2.3%
253182.624098 1
2.3%
254734.026287 1
2.3%
256293.424664 1
2.3%
256487.780188 1
2.3%
256670.659942 1
2.3%
256678.726194 1
2.3%
256834.407501 2
4.7%
256941.545138 1
2.3%
ValueCountFrequency (%)
418616.0 1
2.3%
298253.092977182 1
2.3%
272641.451378 1
2.3%
272359.486675 1
2.3%
272038.257658 1
2.3%
271949.097056 1
2.3%
267828.470136 1
2.3%
267759.588837 1
2.3%
266715.697771 1
2.3%
266077.818455 1
2.3%

전문인력총수
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2
35 
4
4 
3
 
3
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
2 35
81.4%
4 4
 
9.3%
3 3
 
7.0%
7 1
 
2.3%

Length

2024-04-22T09:16:42.348865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:16:42.457449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 35
81.4%
4 4
 
9.3%
3 3
 
7.0%
7 1
 
2.3%

자본금
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9872845 × 108
Minimum0
Maximum6.19 × 108
Zeros1
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-04-22T09:16:42.563804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30000000
Q150000000
median1.6 × 108
Q32.785975 × 108
95-th percentile5.05 × 108
Maximum6.19 × 108
Range6.19 × 108
Interquartile range (IQR)2.285975 × 108

Descriptive statistics

Standard deviation1.7433321 × 108
Coefficient of variation (CV)0.87724334
Kurtosis-0.18581736
Mean1.9872845 × 108
Median Absolute Deviation (MAD)1.1 × 108
Skewness0.88899181
Sum8.5453234 × 109
Variance3.0392069 × 1016
MonotonicityNot monotonic
2024-04-22T09:16:42.684446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
30000000 4
 
9.3%
200000000 3
 
7.0%
50000000 3
 
7.0%
105000000 3
 
7.0%
250000000 3
 
7.0%
400000000 2
 
4.7%
505000000 2
 
4.7%
405000000 1
 
2.3%
302195000 1
 
2.3%
50536103 1
 
2.3%
Other values (20) 20
46.5%
ValueCountFrequency (%)
0 1
 
2.3%
305000 1
 
2.3%
30000000 4
9.3%
30093000 1
 
2.3%
31000000 1
 
2.3%
34800000 1
 
2.3%
50000000 3
7.0%
50536103 1
 
2.3%
57155000 1
 
2.3%
63000000 1
 
2.3%
ValueCountFrequency (%)
619000000 1
2.3%
600003856 1
2.3%
505000000 2
4.7%
500000000 1
2.3%
410000000 1
2.3%
405000000 1
2.3%
400000000 2
4.7%
310000000 1
2.3%
302195000 1
2.3%
255000000 1
2.3%

시설장비
Text

MISSING 

Distinct23
Distinct (%)92.0%
Missing18
Missing (%)41.9%
Memory size476.0 B
2024-04-22T09:16:42.872916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length31
Mean length23
Min length3

Characters and Unicode

Total characters575
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

Unique21 ?
Unique (%)84.0%

Sample

1st row1. 시추기 2 2. 공기압축기 1
2nd row시추기 : HI-1001 1대 임대 공기압축기 : XRVS487CD(29.8㎥/min) 1대 임대
3rd row1. 시추기 1
4th row천공기-등록번호:대구22-5125 형식:17W 규격:30M/min
5th row1. 시추기 1 2. 공기압축기 1
ValueCountFrequency (%)
1 19
17.1%
1대 15
13.5%
공기압축기 13
11.7%
시추기 11
 
9.9%
2 8
 
7.2%
6
 
5.4%
임대 3
 
2.7%
천공기 3
 
2.7%
o 2
 
1.8%
27.7㎥/min 1
 
0.9%
Other values (30) 30
27.0%
2024-04-22T09:16:43.211201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
 
12.0%
기 59
 
10.3%
1 46
 
8.0%
대 24
 
4.2%
공 23
 
4.0%
2 22
 
3.8%
. 21
 
3.7%
0 19
 
3.3%
18
 
3.1%
압 16
 
2.8%
Other values (81) 258
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
41.7%
Decimal Number 122
21.2%
Space Separator 69
 
12.0%
Uppercase Letter 38
 
6.6%
Other Punctuation 36
 
6.3%
Control 18
 
3.1%
Lowercase Letter 14
 
2.4%
Open Punctuation 13
 
2.3%
Close Punctuation 13
 
2.3%
Dash Punctuation 10
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 59
24.6%
대 24
10.0%
공 23
 
9.6%
압 16
 
6.7%
축 15
 
6.2%
추 13
 
5.4%
시 13
 
5.4%
착 8
 
3.3%
정 7
 
2.9%
천 7
 
2.9%
Other values (37) 55
22.9%
Uppercase Letter
ValueCountFrequency (%)
D 5
13.2%
C 3
 
7.9%
T 3
 
7.9%
O 3
 
7.9%
H 3
 
7.9%
E 2
 
5.3%
M 2
 
5.3%
W 2
 
5.3%
X 2
 
5.3%
A 2
 
5.3%
Other values (11) 11
28.9%
Decimal Number
ValueCountFrequency (%)
1 46
37.7%
2 22
18.0%
0 19
15.6%
5 11
 
9.0%
3 10
 
8.2%
8 4
 
3.3%
7 4
 
3.3%
9 3
 
2.5%
4 3
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 21
58.3%
: 7
 
19.4%
/ 4
 
11.1%
, 3
 
8.3%
* 1
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
m 8
57.1%
n 3
 
21.4%
i 3
 
21.4%
Space Separator
ValueCountFrequency (%)
69
100.0%
Control
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Symbol
ValueCountFrequency (%)
㎥ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 283
49.2%
Hangul 240
41.7%
Latin 52
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 59
24.6%
대 24
10.0%
공 23
 
9.6%
압 16
 
6.7%
축 15
 
6.2%
추 13
 
5.4%
시 13
 
5.4%
착 8
 
3.3%
정 7
 
2.9%
천 7
 
2.9%
Other values (37) 55
22.9%
Latin
ValueCountFrequency (%)
m 8
15.4%
D 5
 
9.6%
C 3
 
5.8%
T 3
 
5.8%
n 3
 
5.8%
i 3
 
5.8%
O 3
 
5.8%
H 3
 
5.8%
E 2
 
3.8%
M 2
 
3.8%
Other values (14) 17
32.7%
Common
ValueCountFrequency (%)
69
24.4%
1 46
16.3%
2 22
 
7.8%
. 21
 
7.4%
0 19
 
6.7%
18
 
6.4%
( 13
 
4.6%
) 13
 
4.6%
5 11
 
3.9%
3 10
 
3.5%
Other values (10) 41
14.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 333
57.9%
Hangul 240
41.7%
CJK Compat 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
20.7%
1 46
13.8%
2 22
 
6.6%
. 21
 
6.3%
0 19
 
5.7%
18
 
5.4%
( 13
 
3.9%
) 13
 
3.9%
5 11
 
3.3%
3 10
 
3.0%
Other values (33) 91
27.3%
Hangul
ValueCountFrequency (%)
기 59
24.6%
대 24
10.0%
공 23
 
9.6%
압 16
 
6.7%
축 15
 
6.2%
추 13
 
5.4%
시 13
 
5.4%
착 8
 
3.3%
정 7
 
2.9%
천 7
 
2.9%
Other values (37) 55
22.9%
CJK Compat
ValueCountFrequency (%)
㎥ 2
100.0%

타기관이전여부
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
34 
1
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 34
79.1%
1 9
 
20.9%

Length

2024-04-22T09:16:43.338670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:16:43.431472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
79.1%
1 9
 
20.9%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
01지하수시공업체09_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
12지하수시공업체09_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
23지하수시공업체09_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
34지하수시공업체09_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
45지하수시공업체09_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
56지하수시공업체09_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
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_P3450000C00504017767200000020001208201302253폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 관음동 1245-22번지<NA><NA>경북지하수20130225161504I2018-08-31 23:59:59.0<NA>339224.243031272641.451378230093000<NA>0
910지하수시공업체09_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
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
3334지하수시공업체09_29_01_P3480000C002301110069623L0020150918<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 용계리 77-2번지대구광역시 달성군 가창면 가창로 1096-1, 2층42934(주)용현건설20180827085428I2018-08-31 23:59:59.0<NA>347065.258082256293.4246642500000000<NA>0
3435지하수시공업체09_29_01_P3480000C00502208010000000020121115<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 가창면 용계리 211-3번지대구광역시 달성군 가창면 가창로 1049-2<NA>동원지하수개발공사20121115143417I2018-08-31 23:59:59.0<NA>346693.084827256487.7801882224985480시추기(착정기) : 1대 공기압축기 : 1대0
3536지하수시공업체09_29_01_P3480000C00513147026000000020090220<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 하빈면 현내리 889-1번지대구광역시 달성군 하빈면 하빈로 409<NA>대림이앤씨20130412165324I2018-08-31 23:59:59.0<NA>330334.973904267759.588837230000000<NA>0
3637지하수시공업체09_29_01_P3480000C00514024543700000020080123<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 논공읍 상리 570번지대구광역시 달성군 논공읍 비슬로262길 140<NA>건국개발20100423102257I2018-08-31 23:59:59.0<NA>328528.282371251030.651509234800000소형화물차 포터2(1톤) 중형화물차 마이티(2.5톤) 관정착정기 공기압축기0
3738지하수시공업체09_29_01_P3480000C001715110012725L0020140929<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 하빈면 하산리 947-286번지대구광역시 달성군 하빈면 강변대로 21<NA>나견토건(주)20170925094307I2018-08-31 23:59:59.0<NA>327254.926809265496.1918132200000000<NA>0
3839지하수시공업체09_29_01_P3480000C001743110008387L0020160708<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 성암로1길 58<NA>(주)제이에이 이앤씨20160906140656I2018-08-31 23:59:59.0<NA>336337.15808256834.4075012505000000천공기 250mm, 공기압축기 27.7㎥/min0
3940지하수시공업체09_29_01_P3480000C001743110010184L0020170301<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 성암로1길 58, 202호 (대창빌딩)<NA>(주)정우개발20170307180113I2018-08-31 23:59:59.0<NA>336337.15808256834.4075012310000000착공기, 공기압축기 임대1
4041지하수시공업체09_29_01_P3480000C001747110006119L0020131112<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>경상북도 군위군 의흥면 읍내리 670-1번지경상북도 의성군 의성읍 동부로 1058<NA>한일수중개발㈜20131213190937I2018-08-31 23:59:59.0<NA>354396.957671298253.0929772205000000<NA>1
4142지하수시공업체09_29_01_P3480000C00740420268271400020160308<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 하빈면 하산리 947-286번지대구광역시 달성군 하빈면 강변대로 2142900송윤성20160308124852I2018-08-31 23:59:59.0<NA>327254.926809265496.191813230000000천공기 1대, 공기압축기 1대0
4243지하수시공업체09_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