Overview

Dataset statistics

Number of variables36
Number of observations324
Missing cells4299
Missing cells (%)36.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory97.3 KiB
Average record size in memory307.4 B

Variable types

Numeric6
Categorical10
DateTime6
Unsupported9
Text5

Dataset

Description23년09월_6270000_대구광역시_09_30_14_P_저수조청소업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000100975&dataSetDetailId=DDI_0000101003&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업무구분 has constant value ""Constant
업무구분명 has constant value ""Constant
인허가취소일자 has 324 (100.0%) missing valuesMissing
폐업일자 has 234 (72.2%) missing valuesMissing
휴업시작일자 has 320 (98.8%) missing valuesMissing
휴업종료일자 has 320 (98.8%) missing valuesMissing
재개업일자 has 324 (100.0%) missing valuesMissing
소재지전화 has 49 (15.1%) missing valuesMissing
소재지면적 has 324 (100.0%) missing valuesMissing
소재지우편번호 has 324 (100.0%) missing valuesMissing
도로명전체주소 has 52 (16.0%) missing valuesMissing
도로명우편번호 has 220 (67.9%) missing valuesMissing
업태구분명 has 324 (100.0%) missing valuesMissing
좌표정보(X) has 6 (1.9%) missing valuesMissing
좌표정보(Y) has 6 (1.9%) missing valuesMissing
건축물명 has 324 (100.0%) missing valuesMissing
건축물상태명 has 324 (100.0%) missing valuesMissing
청소대상시작일자 has 324 (100.0%) missing valuesMissing
청소대상종료일자 has 324 (100.0%) missing valuesMissing
휴업폐지사유 has 173 (53.4%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
건축물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물상태명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소대상시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소대상종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-10-21 06:07:16.679148
Analysis finished2023-10-21 06:07:19.355484
Duration2.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct324
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.5
Minimum1
Maximum324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-10-21T06:07:19.830750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.15
Q181.75
median162.5
Q3243.25
95-th percentile307.85
Maximum324
Range323
Interquartile range (IQR)161.5

Descriptive statistics

Standard deviation93.67497
Coefficient of variation (CV)0.57646135
Kurtosis-1.2
Mean162.5
Median Absolute Deviation (MAD)81
Skewness0
Sum52650
Variance8775
MonotonicityStrictly increasing
2023-10-21T06:07:20.966479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
205 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
Other values (314) 314
96.9%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%
320 1
0.3%
319 1
0.3%
318 1
0.3%
317 1
0.3%
316 1
0.3%
315 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
저수조청소업
324 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 324
100.0%

Length

2023-10-21T06:07:21.856334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:07:22.580692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 324
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
09_30_14_P
324 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_30_14_P
2nd row09_30_14_P
3rd row09_30_14_P
4th row09_30_14_P
5th row09_30_14_P

Common Values

ValueCountFrequency (%)
09_30_14_P 324
100.0%

Length

2023-10-21T06:07:23.112108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:07:23.750490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_30_14_p 324
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3472854.9
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-10-21T06:07:24.372354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation210264.94
Coefficient of variation (CV)0.060545269
Kurtosis59.447949
Mean3472854.9
Median Absolute Deviation (MAD)20000
Skewness7.7717837
Sum1.125205 × 109
Variance4.4211344 × 1010
MonotonicityIncreasing
2023-10-21T06:07:25.143535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3420000 64
19.8%
3460000 64
19.8%
3470000 61
18.8%
3440000 36
11.1%
3450000 30
9.3%
3430000 23
 
7.1%
3480000 21
 
6.5%
3410000 20
 
6.2%
5141000 5
 
1.5%
ValueCountFrequency (%)
3410000 20
 
6.2%
3420000 64
19.8%
3430000 23
 
7.1%
3440000 36
11.1%
3450000 30
9.3%
3460000 64
19.8%
3470000 61
18.8%
3480000 21
 
6.5%
5141000 5
 
1.5%
ValueCountFrequency (%)
5141000 5
 
1.5%
3480000 21
 
6.5%
3470000 61
18.8%
3460000 64
19.8%
3450000 30
9.3%
3440000 36
11.1%
3430000 23
 
7.1%
3420000 64
19.8%
3410000 20
 
6.2%

관리번호
Real number (ℝ)

UNIQUE 

Distinct324
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4728553 × 1017
Minimum3.4100003 × 1017
Maximum5.1410003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-10-21T06:07:26.146952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4100003 × 1017
5-th percentile3.4100003 × 1017
Q13.4200003 × 1017
median3.4500003 × 1017
Q33.4700003 × 1017
95-th percentile3.4800003 × 1017
Maximum5.1410003 × 1017
Range1.731 × 1017
Interquartile range (IQR)5 × 1015

Descriptive statistics

Standard deviation2.1026494 × 1016
Coefficient of variation (CV)0.060545264
Kurtosis59.447949
Mean3.4728553 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness7.7717837
Sum1.8400457 × 1018
Variance4.4211344 × 1032
MonotonicityNot monotonic
2023-10-21T06:07:26.891545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000031200100001 1
 
0.3%
346000031201100002 1
 
0.3%
346000031202000006 1
 
0.3%
346000031202000005 1
 
0.3%
346000031202000004 1
 
0.3%
346000031202000003 1
 
0.3%
346000031202000002 1
 
0.3%
346000031202000001 1
 
0.3%
346000031201900002 1
 
0.3%
346000031201900001 1
 
0.3%
Other values (314) 314
96.9%
ValueCountFrequency (%)
341000031200100001 1
0.3%
341000031200200001 1
0.3%
341000031200200002 1
0.3%
341000031200300001 1
0.3%
341000031200300002 1
0.3%
341000031200400001 1
0.3%
341000031200400002 1
0.3%
341000031200400003 1
0.3%
341000031200400004 1
0.3%
341000031200500001 1
0.3%
ValueCountFrequency (%)
514100031202300001 1
0.3%
514100031201500003 1
0.3%
514100031201500002 1
0.3%
514100031201300001 1
0.3%
514100031201200001 1
0.3%
348000031202300003 1
0.3%
348000031202300002 1
0.3%
348000031202300001 1
0.3%
348000031202000001 1
0.3%
348000031201800001 1
0.3%

인허가일자
Date

Distinct281
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum1999-02-01 00:00:00
Maximum2023-08-03 00:00:00
2023-10-21T06:07:27.507264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:07:28.057570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
167 
3
152 
2
 
3
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 167
51.5%
3 152
46.9%
2 3
 
0.9%
4 2
 
0.6%

Length

2023-10-21T06:07:28.710161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:07:29.177004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 167
51.5%
3 152
46.9%
2 3
 
0.9%
4 2
 
0.6%

영업상태명
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업/정상
167 
폐업
152 
휴업
 
3
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length3.6203704
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 167
51.5%
폐업 152
46.9%
휴업 3
 
0.9%
취소/말소/만료/정지/중지 2
 
0.6%

Length

2023-10-21T06:07:29.870637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:07:30.427315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 167
51.5%
폐업 152
46.9%
휴업 3
 
0.9%
취소/말소/만료/정지/중지 2
 
0.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
11
167 
2
152 
1
 
3
4
 
2

Length

Max length2
Median length2
Mean length1.5154321
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row11
3rd row11
4th row2
5th row2

Common Values

ValueCountFrequency (%)
11 167
51.5%
2 152
46.9%
1 3
 
0.9%
4 2
 
0.6%

Length

2023-10-21T06:07:31.159860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:07:31.734605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 167
51.5%
2 152
46.9%
1 3
 
0.9%
4 2
 
0.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
정상
167 
폐업
152 
휴업
 
3
폐쇄
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 167
51.5%
폐업 152
46.9%
휴업 3
 
0.9%
폐쇄 2
 
0.6%

Length

2023-10-21T06:07:32.296145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:07:32.680045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 167
51.5%
폐업 152
46.9%
휴업 3
 
0.9%
폐쇄 2
 
0.6%

폐업일자
Date

MISSING 

Distinct86
Distinct (%)95.6%
Missing234
Missing (%)72.2%
Memory size2.7 KiB
Minimum2008-07-01 00:00:00
Maximum2023-09-19 00:00:00
2023-10-21T06:07:33.379730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:07:34.040856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing320
Missing (%)98.8%
Memory size2.7 KiB
Minimum2010-03-25 00:00:00
Maximum2019-07-06 00:00:00
2023-10-21T06:07:34.484324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:07:34.888280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업종료일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing320
Missing (%)98.8%
Memory size2.7 KiB
Minimum2010-09-24 00:00:00
Maximum2019-12-31 00:00:00
2023-10-21T06:07:35.252000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:07:35.627069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

소재지전화
Text

MISSING 

Distinct261
Distinct (%)94.9%
Missing49
Missing (%)15.1%
Memory size2.7 KiB
2023-10-21T06:07:36.596592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.956364
Min length7

Characters and Unicode

Total characters3013
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique247 ?
Unique (%)89.8%

Sample

1st row053-252-1421
2nd row053-423-0337
3rd row053-425-9934
4th row053-473-0005
5th row053-421-1205
ValueCountFrequency (%)
053-526-4377 2
 
0.7%
053-201-8112 2
 
0.7%
053-781-3667 2
 
0.7%
053-766-8234 2
 
0.7%
752-8820 2
 
0.7%
053-765-1212 2
 
0.7%
355-7083 2
 
0.7%
053-558-3600 2
 
0.7%
053-651-8586 2
 
0.7%
053-953-2221 2
 
0.7%
Other values (251) 255
92.7%
2023-10-21T06:07:38.218523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 457
15.2%
- 448
14.9%
3 400
13.3%
0 369
12.2%
6 232
7.7%
2 228
7.6%
7 202
6.7%
4 192
6.4%
8 170
 
5.6%
1 168
 
5.6%
Other values (5) 147
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2554
84.8%
Dash Punctuation 448
 
14.9%
Close Punctuation 8
 
0.3%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 457
17.9%
3 400
15.7%
0 369
14.4%
6 232
9.1%
2 228
8.9%
7 202
7.9%
4 192
7.5%
8 170
 
6.7%
1 168
 
6.6%
9 136
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 448
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3013
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 457
15.2%
- 448
14.9%
3 400
13.3%
0 369
12.2%
6 232
7.7%
2 228
7.6%
7 202
6.7%
4 192
6.4%
8 170
 
5.6%
1 168
 
5.6%
Other values (5) 147
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3013
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 457
15.2%
- 448
14.9%
3 400
13.3%
0 369
12.2%
6 232
7.7%
2 228
7.6%
7 202
6.7%
4 192
6.4%
8 170
 
5.6%
1 168
 
5.6%
Other values (5) 147
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

소재지전체주소
Text

Distinct215
Distinct (%)67.0%
Missing3
Missing (%)0.9%
Memory size2.7 KiB
2023-10-21T06:07:39.624234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length39
Mean length21.700935
Min length13

Characters and Unicode

Total characters6966
Distinct characters167
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)51.4%

Sample

1st row대구광역시 중구 남산동 ****-*
2nd row대구광역시 중구 달성동 ***-* 부광빌딩
3rd row대구광역시 중구 남산동 ***-**
4th row대구광역시 중구 서문로*가 **-*
5th row대구광역시 중구 대봉동 **-** 한양가든 ***동 *호
ValueCountFrequency (%)
대구광역시 321
22.7%
321
22.7%
동구 64
 
4.5%
수성구 63
 
4.4%
달서구 61
 
4.3%
남구 35
 
2.5%
북구 30
 
2.1%
서구 23
 
1.6%
대명동 21
 
1.5%
달성군 21
 
1.5%
Other values (158) 457
32.3%
2023-10-21T06:07:41.821088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1550
22.3%
1400
20.1%
구 624
9.0%
동 387
 
5.6%
대 353
 
5.1%
시 324
 
4.7%
광 323
 
4.6%
역 321
 
4.6%
- 281
 
4.0%
성 108
 
1.6%
Other values (157) 1295
18.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3718
53.4%
Other Punctuation 1552
22.3%
Space Separator 1400
 
20.1%
Dash Punctuation 281
 
4.0%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 624
16.8%
동 387
 
10.4%
대 353
 
9.5%
시 324
 
8.7%
광 323
 
8.7%
역 321
 
8.6%
성 108
 
2.9%
서 97
 
2.6%
달 85
 
2.3%
수 76
 
2.0%
Other values (148) 1020
27.4%
Uppercase Letter
ValueCountFrequency (%)
A 3
60.0%
B 1
 
20.0%
F 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
* 1550
99.9%
, 2
 
0.1%
Space Separator
ValueCountFrequency (%)
1400
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 281
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3718
53.4%
Common 3243
46.6%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 624
16.8%
동 387
 
10.4%
대 353
 
9.5%
시 324
 
8.7%
광 323
 
8.7%
역 321
 
8.6%
성 108
 
2.9%
서 97
 
2.6%
달 85
 
2.3%
수 76
 
2.0%
Other values (148) 1020
27.4%
Common
ValueCountFrequency (%)
* 1550
47.8%
1400
43.2%
- 281
 
8.7%
) 5
 
0.2%
( 5
 
0.2%
, 2
 
0.1%
Latin
ValueCountFrequency (%)
A 3
60.0%
B 1
 
20.0%
F 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3718
53.4%
ASCII 3248
46.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1550
47.7%
1400
43.1%
- 281
 
8.7%
) 5
 
0.2%
( 5
 
0.2%
A 3
 
0.1%
, 2
 
0.1%
B 1
 
< 0.1%
F 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 624
16.8%
동 387
 
10.4%
대 353
 
9.5%
시 324
 
8.7%
광 323
 
8.7%
역 321
 
8.6%
성 108
 
2.9%
서 97
 
2.6%
달 85
 
2.3%
수 76
 
2.0%
Other values (148) 1020
27.4%

도로명전체주소
Text

MISSING 

Distinct246
Distinct (%)90.4%
Missing52
Missing (%)16.0%
Memory size2.7 KiB
2023-10-21T06:07:42.736369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length27.132353
Min length20

Characters and Unicode

Total characters7380
Distinct characters203
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique223 ?
Unique (%)82.0%

Sample

1st row대구광역시 중구 중앙대로 *** (남산동)
2nd row대구광역시 중구 태평로 **, 부광빌딩 ***호 (달성동)
3rd row대구광역시 중구 명륜로 **-**, *층 (남산동)
4th row대구광역시 중구 대봉로 ***-** (대봉동)
5th row대구광역시 중구 동덕로**길 *** (동인동*가)
ValueCountFrequency (%)
276
18.3%
대구광역시 272
18.0%
달서구 60
 
4.0%
동구 60
 
4.0%
층 42
 
2.8%
남구 36
 
2.4%
호 36
 
2.4%
수성구 35
 
2.3%
북구 24
 
1.6%
서구 22
 
1.5%
Other values (314) 647
42.8%
2023-10-21T06:07:44.466446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1286
17.4%
* 1151
15.6%
구 537
 
7.3%
동 362
 
4.9%
대 337
 
4.6%
시 275
 
3.7%
광 274
 
3.7%
역 272
 
3.7%
( 252
 
3.4%
로 252
 
3.4%
Other values (193) 2382
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4258
57.7%
Space Separator 1286
 
17.4%
Other Punctuation 1254
 
17.0%
Open Punctuation 252
 
3.4%
Close Punctuation 251
 
3.4%
Dash Punctuation 74
 
1.0%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 537
 
12.6%
동 362
 
8.5%
대 337
 
7.9%
시 275
 
6.5%
광 274
 
6.4%
역 272
 
6.4%
로 252
 
5.9%
길 159
 
3.7%
서 109
 
2.6%
성 100
 
2.3%
Other values (184) 1581
37.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
60.0%
F 1
 
20.0%
B 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
* 1151
91.8%
, 103
 
8.2%
Space Separator
ValueCountFrequency (%)
1286
100.0%
Open Punctuation
ValueCountFrequency (%)
( 252
100.0%
Close Punctuation
ValueCountFrequency (%)
) 251
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4258
57.7%
Common 3117
42.2%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 537
 
12.6%
동 362
 
8.5%
대 337
 
7.9%
시 275
 
6.5%
광 274
 
6.4%
역 272
 
6.4%
로 252
 
5.9%
길 159
 
3.7%
서 109
 
2.6%
성 100
 
2.3%
Other values (184) 1581
37.1%
Common
ValueCountFrequency (%)
1286
41.3%
* 1151
36.9%
( 252
 
8.1%
) 251
 
8.1%
, 103
 
3.3%
- 74
 
2.4%
Latin
ValueCountFrequency (%)
A 3
60.0%
F 1
 
20.0%
B 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4258
57.7%
ASCII 3122
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1286
41.2%
* 1151
36.9%
( 252
 
8.1%
) 251
 
8.0%
, 103
 
3.3%
- 74
 
2.4%
A 3
 
0.1%
F 1
 
< 0.1%
B 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
구 537
 
12.6%
동 362
 
8.5%
대 337
 
7.9%
시 275
 
6.5%
광 274
 
6.4%
역 272
 
6.4%
로 252
 
5.9%
길 159
 
3.7%
서 109
 
2.6%
성 100
 
2.3%
Other values (184) 1581
37.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)90.4%
Missing220
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean41987.077
Minimum41046
Maximum43122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-10-21T06:07:45.040739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41046
5-th percentile41119.45
Q141438.25
median41957.5
Q342476.5
95-th percentile42958.1
Maximum43122
Range2076
Interquartile range (IQR)1038.25

Descriptive statistics

Standard deviation626.7265
Coefficient of variation (CV)0.014926652
Kurtosis-1.2802517
Mean41987.077
Median Absolute Deviation (MAD)520
Skewness0.15191291
Sum4366656
Variance392786.11
MonotonicityNot monotonic
2023-10-21T06:07:45.740274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42733 3
 
0.9%
41465 3
 
0.9%
42173 3
 
0.9%
41408 2
 
0.6%
42440 2
 
0.6%
42420 2
 
0.6%
42498 2
 
0.6%
42112 1
 
0.3%
42052 1
 
0.3%
42209 1
 
0.3%
Other values (84) 84
 
25.9%
(Missing) 220
67.9%
ValueCountFrequency (%)
41046 1
0.3%
41075 1
0.3%
41078 1
0.3%
41092 1
0.3%
41108 1
0.3%
41119 1
0.3%
41122 1
0.3%
41123 1
0.3%
41171 1
0.3%
41176 1
0.3%
ValueCountFrequency (%)
43122 1
0.3%
43116 1
0.3%
43113 1
0.3%
43008 1
0.3%
42985 1
0.3%
42959 1
0.3%
42953 1
0.3%
42946 1
0.3%
42938 1
0.3%
42936 1
0.3%

사업장명
Text

Distinct287
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-10-21T06:07:46.838477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length6.8117284
Min length1

Characters and Unicode

Total characters2207
Distinct characters231
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

Unique253 ?
Unique (%)78.1%

Sample

1st row(주)고신
2nd row에코환경
3rd row덕우환경
4th row(주)대영기업
5th row그린종합관리
ValueCountFrequency (%)
주식회사 15
 
4.3%
동일주식회사 4
 
1.1%
태경종합관리 3
 
0.9%
주)태성메인터넌스 2
 
0.6%
주)고신 2
 
0.6%
청보티엠 2
 
0.6%
남경종합관리(주 2
 
0.6%
주)백운 2
 
0.6%
명진티엠에스 2
 
0.6%
주)원경건설 2
 
0.6%
Other values (287) 312
89.7%
2023-10-21T06:07:48.766439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 187
 
8.5%
( 162
 
7.3%
) 162
 
7.3%
경 68
 
3.1%
리 58
 
2.6%
종 54
 
2.4%
합 54
 
2.4%
관 54
 
2.4%
환 50
 
2.3%
대 45
 
2.0%
Other values (221) 1313
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1829
82.9%
Open Punctuation 162
 
7.3%
Close Punctuation 162
 
7.3%
Space Separator 24
 
1.1%
Uppercase Letter 18
 
0.8%
Lowercase Letter 6
 
0.3%
Other Punctuation 5
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 187
 
10.2%
경 68
 
3.7%
리 58
 
3.2%
종 54
 
3.0%
합 54
 
3.0%
관 54
 
3.0%
환 50
 
2.7%
대 45
 
2.5%
업 39
 
2.1%
스 38
 
2.1%
Other values (201) 1182
64.6%
Uppercase Letter
ValueCountFrequency (%)
S 4
22.2%
C 4
22.2%
E 2
11.1%
O 2
11.1%
G 1
 
5.6%
M 1
 
5.6%
B 1
 
5.6%
T 1
 
5.6%
I 1
 
5.6%
Z 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 3
50.0%
h 1
 
16.7%
o 1
 
16.7%
n 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
& 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 162
100.0%
Close Punctuation
ValueCountFrequency (%)
) 162
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1829
82.9%
Common 354
 
16.0%
Latin 24
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 187
 
10.2%
경 68
 
3.7%
리 58
 
3.2%
종 54
 
3.0%
합 54
 
3.0%
관 54
 
3.0%
환 50
 
2.7%
대 45
 
2.5%
업 39
 
2.1%
스 38
 
2.1%
Other values (201) 1182
64.6%
Latin
ValueCountFrequency (%)
S 4
16.7%
C 4
16.7%
e 3
12.5%
E 2
8.3%
O 2
8.3%
G 1
 
4.2%
M 1
 
4.2%
B 1
 
4.2%
h 1
 
4.2%
T 1
 
4.2%
Other values (4) 4
16.7%
Common
ValueCountFrequency (%)
( 162
45.8%
) 162
45.8%
24
 
6.8%
. 4
 
1.1%
- 1
 
0.3%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1829
82.9%
ASCII 378
 
17.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 187
 
10.2%
경 68
 
3.7%
리 58
 
3.2%
종 54
 
3.0%
합 54
 
3.0%
관 54
 
3.0%
환 50
 
2.7%
대 45
 
2.5%
업 39
 
2.1%
스 38
 
2.1%
Other values (201) 1182
64.6%
ASCII
ValueCountFrequency (%)
( 162
42.9%
) 162
42.9%
24
 
6.3%
. 4
 
1.1%
S 4
 
1.1%
C 4
 
1.1%
e 3
 
0.8%
E 2
 
0.5%
O 2
 
0.5%
G 1
 
0.3%
Other values (10) 10
 
2.6%

최종수정시점
Date

Distinct229
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2015-01-05 20:53:24
Maximum2023-09-21 15:33:35
2023-10-21T06:07:49.222983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:07:49.944593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
U
169 
I
155 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 169
52.2%
I 155
47.8%

Length

2023-10-21T06:07:50.748735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:07:51.401379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 169
52.2%
i 155
47.8%

데이터갱신일자
Date

Distinct109
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-09-23 02:40:00
2023-10-21T06:07:52.664155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:07:53.651338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct287
Distinct (%)90.3%
Missing6
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean343702.78
Minimum328727.08
Maximum356519.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-10-21T06:07:54.417671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328727.08
5-th percentile335014.63
Q1340105.84
median344142.18
Q3347123.46
95-th percentile352831.31
Maximum356519.72
Range27792.634
Interquartile range (IQR)7017.6236

Descriptive statistics

Standard deviation5036.0702
Coefficient of variation (CV)0.014652399
Kurtosis0.18991862
Mean343702.78
Median Absolute Deviation (MAD)3533.8033
Skewness-0.11565557
Sum1.0929748 × 108
Variance25362003
MonotonicityNot monotonic
2023-10-21T06:07:55.463631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342691.059464689 3
 
0.9%
338880.044416023 3
 
0.9%
347178.425128659 2
 
0.6%
340921.489846194 2
 
0.6%
343372.286819313 2
 
0.6%
337093.983894794 2
 
0.6%
347566.508344575 2
 
0.6%
345598.819186941 2
 
0.6%
338428.16384201 2
 
0.6%
334163.662028604 2
 
0.6%
Other values (277) 296
91.4%
(Missing) 6
 
1.9%
ValueCountFrequency (%)
328727.083337633 1
0.3%
330443.155542946 1
0.3%
330475.101956033 1
0.3%
330952.383590045 1
0.3%
331160.850743369 1
0.3%
331926.347477128 1
0.3%
333174.636746313 1
0.3%
333418.806114413 2
0.6%
334163.662028604 2
0.6%
334185.843984146 1
0.3%
ValueCountFrequency (%)
356519.717420602 1
0.3%
355875.12286884 2
0.6%
355857.357218327 1
0.3%
355595.530398256 1
0.3%
355575.488027599 2
0.6%
354719.11022081 1
0.3%
354533.405410056 1
0.3%
354423.754796481 1
0.3%
353735.043317414 1
0.3%
353487.031299094 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct287
Distinct (%)90.3%
Missing6
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean263560.12
Minimum239689.77
Maximum305346.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-10-21T06:07:56.476111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239689.77
5-th percentile257261.64
Q1261023.96
median263369.92
Q3265310.24
95-th percentile270763.64
Maximum305346.09
Range65656.318
Interquartile range (IQR)4286.2781

Descriptive statistics

Standard deviation6711.1223
Coefficient of variation (CV)0.025463345
Kurtosis20.696791
Mean263560.12
Median Absolute Deviation (MAD)2163.6638
Skewness3.0818802
Sum83812117
Variance45039162
MonotonicityNot monotonic
2023-10-21T06:07:57.327280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265975.072752894 3
 
0.9%
260454.397716774 3
 
0.9%
266572.281587348 2
 
0.6%
260440.127841144 2
 
0.6%
265533.584397662 2
 
0.6%
263201.443498819 2
 
0.6%
259810.137204551 2
 
0.6%
267727.459685726 2
 
0.6%
262411.345522226 2
 
0.6%
262208.018310715 2
 
0.6%
Other values (277) 296
91.4%
(Missing) 6
 
1.9%
ValueCountFrequency (%)
239689.772134149 1
0.3%
240800.459746776 1
0.3%
244640.763000725 1
0.3%
245097.395631996 1
0.3%
248101.726815932 1
0.3%
248847.463810558 1
0.3%
249068.647134084 1
0.3%
255293.27220732 1
0.3%
256102.197384657 1
0.3%
256357.152972424 1
0.3%
ValueCountFrequency (%)
305346.090355331 1
0.3%
304913.189154821 1
0.3%
304843.21130352 1
0.3%
303697.648984537 1
0.3%
302741.558078507 1
0.3%
275545.485507691 2
0.6%
272948.795548551 1
0.3%
272889.980551914 1
0.3%
272580.856586619 1
0.3%
272109.077470125 1
0.3%

업무구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
31
324 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31
2nd row31
3rd row31
4th row31
5th row31

Common Values

ValueCountFrequency (%)
31 324
100.0%

Length

2023-10-21T06:07:58.441473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:07:58.999664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 324
100.0%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

건축물연면적
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
218 
0
106 

Length

Max length4
Median length4
Mean length3.0185185
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 218
67.3%
0 106
32.7%

Length

2023-10-21T06:07:59.734239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:08:00.251227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 218
67.3%
0 106
32.7%

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing324
Missing (%)100.0%
Memory size3.0 KiB

휴업폐지사유
Text

MISSING 

Distinct81
Distinct (%)53.6%
Missing173
Missing (%)53.4%
Memory size2.7 KiB
2023-10-21T06:08:01.054106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length125
Median length37
Mean length7.7748344
Min length2

Characters and Unicode

Total characters1174
Distinct characters155
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)45.7%

Sample

1st row대구시 수성구로 이전
2nd row자진반납
3rd row자진반납
4th row자진반납
5th row자진폐업
ValueCountFrequency (%)
이전 26
 
9.9%
영업부진 25
 
9.5%
사업부진 19
 
7.2%
폐업 14
 
5.3%
사업장 13
 
4.9%
소재지 7
 
2.7%
자진폐업 6
 
2.3%
자진반납 4
 
1.5%
회사 4
 
1.5%
대표자사망 3
 
1.1%
Other values (122) 142
54.0%
2023-10-21T06:08:02.592861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
 
9.6%
업 105
 
8.9%
진 64
 
5.5%
사 60
 
5.1%
부 53
 
4.5%
이 42
 
3.6%
전 37
 
3.2%
영 36
 
3.1%
폐 36
 
3.1%
. 24
 
2.0%
Other values (145) 604
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 895
76.2%
Space Separator 113
 
9.6%
Decimal Number 90
 
7.7%
Other Punctuation 28
 
2.4%
Open Punctuation 20
 
1.7%
Close Punctuation 20
 
1.7%
Dash Punctuation 6
 
0.5%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 105
 
11.7%
진 64
 
7.2%
사 60
 
6.7%
부 53
 
5.9%
이 42
 
4.7%
전 37
 
4.1%
영 36
 
4.0%
폐 36
 
4.0%
구 24
 
2.7%
소 22
 
2.5%
Other values (126) 416
46.5%
Decimal Number
ValueCountFrequency (%)
2 21
23.3%
0 20
22.2%
1 16
17.8%
7 9
10.0%
3 7
 
7.8%
8 6
 
6.7%
9 5
 
5.6%
5 3
 
3.3%
6 2
 
2.2%
4 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 24
85.7%
: 3
 
10.7%
, 1
 
3.6%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 895
76.2%
Common 279
 
23.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 105
 
11.7%
진 64
 
7.2%
사 60
 
6.7%
부 53
 
5.9%
이 42
 
4.7%
전 37
 
4.1%
영 36
 
4.0%
폐 36
 
4.0%
구 24
 
2.7%
소 22
 
2.5%
Other values (126) 416
46.5%
Common
ValueCountFrequency (%)
113
40.5%
. 24
 
8.6%
2 21
 
7.5%
0 20
 
7.2%
( 20
 
7.2%
) 20
 
7.2%
1 16
 
5.7%
7 9
 
3.2%
3 7
 
2.5%
- 6
 
2.2%
Other values (9) 23
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 895
76.2%
ASCII 279
 
23.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
40.5%
. 24
 
8.6%
2 21
 
7.5%
0 20
 
7.2%
( 20
 
7.2%
) 20
 
7.2%
1 16
 
5.7%
7 9
 
3.2%
3 7
 
2.5%
- 6
 
2.2%
Other values (9) 23
 
8.2%
Hangul
ValueCountFrequency (%)
업 105
 
11.7%
진 64
 
7.2%
사 60
 
6.7%
부 53
 
5.9%
이 42
 
4.7%
전 37
 
4.1%
영 36
 
4.0%
폐 36
 
4.0%
구 24
 
2.7%
소 22
 
2.5%
Other values (126) 416
46.5%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
저수조청소업
324 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 324
100.0%

Length

2023-10-21T06:08:03.323866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:08:04.081637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 324
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
01저수조청소업09_30_14_P34100003410000312001000012019-04-30<NA>3폐업2폐업2020-12-23<NA><NA><NA>053-252-1421<NA><NA>대구광역시 중구 남산동 ****-*대구광역시 중구 중앙대로 *** (남산동)<NA>(주)고신2020-12-23 16:13:17U2020-12-25 02:40:00<NA>343570.613159263072.96430831<NA><NA><NA><NA><NA>대구시 수성구로 이전저수조청소업
12저수조청소업09_30_14_P34100003410000312022000012022-04-27<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 달성동 ***-* 부광빌딩대구광역시 중구 태평로 **, 부광빌딩 ***호 (달성동)41900에코환경2022-04-25 15:45:01I2022-04-27 00:22:42<NA>342618.637553265366.44807431<NA>0<NA><NA><NA><NA>저수조청소업
23저수조청소업09_30_14_P34100003410000312002000022007-12-31<NA>1영업/정상11정상<NA><NA><NA><NA>053-423-0337<NA><NA>대구광역시 중구 남산동 ***-**대구광역시 중구 명륜로 **-**, *층 (남산동)41961덕우환경2023-02-13 11:10:32U2023-02-15 02:40:00<NA>344061.187763263453.67786431<NA>0<NA><NA><NA><NA>저수조청소업
34저수조청소업09_30_14_P34100003410000312003000012007-11-29<NA>3폐업2폐업<NA><NA><NA><NA>053-425-9934<NA><NA>대구광역시 중구 서문로*가 **-*<NA><NA>(주)대영기업2015-01-05 20:56:40I2018-08-31 23:59:59<NA>343532.059407264616.56921931<NA><NA><NA><NA><NA>자진반납저수조청소업
45저수조청소업09_30_14_P34100003410000312003000022009-02-16<NA>3폐업2폐업2009-02-16<NA><NA><NA>053-473-0005<NA><NA>대구광역시 중구 대봉동 **-** 한양가든 ***동 *호<NA><NA>그린종합관리2015-01-05 20:56:40I2018-08-31 23:59:59<NA>344752.189474263507.62778631<NA><NA><NA><NA><NA>자진반납저수조청소업
56저수조청소업09_30_14_P34100003410000312004000012007-12-27<NA>3폐업2폐업<NA><NA><NA><NA>053-421-1205<NA><NA>대구광역시 중구 동인동*가 **<NA><NA>(주)이텍티씨엠2015-01-05 20:56:40I2018-08-31 23:59:59<NA>345180.226177264621.04893231<NA><NA><NA><NA><NA>자진반납저수조청소업
67저수조청소업09_30_14_P34100003410000312004000022007-12-31<NA>1영업/정상11정상<NA><NA><NA><NA>053-421-9512<NA><NA>대구광역시 중구 남산동 ***-** *층 **,**,**호<NA><NA>(주)우진공사2018-04-13 13:50:28I2018-08-31 23:59:59<NA>343577.657109263527.96937431<NA><NA><NA><NA><NA><NA>저수조청소업
78저수조청소업09_30_14_P34100003410000312004000032008-05-07<NA>3폐업2폐업<NA><NA><NA><NA>053-426-5551<NA><NA>대구광역시 중구 동인동*가 ***-*<NA><NA>현대환경2015-01-05 20:56:40I2018-08-31 23:59:59<NA>345551.390036264231.82814531<NA><NA><NA><NA><NA>자진폐업저수조청소업
89저수조청소업09_30_14_P34100003410000312004000042023-02-01<NA>1영업/정상11정상<NA><NA><NA><NA>053-427-9898<NA><NA>대구광역시 중구 대봉동 **-**대구광역시 중구 대봉로 ***-** (대봉동)41954한국종합관리(주)2023-02-13 10:23:32U2023-02-15 02:40:00<NA>344614.438542263320.48150931<NA>0<NA><NA><NA><NA>저수조청소업
910저수조청소업09_30_14_P34100003410000312005000012007-12-31<NA>1영업/정상11정상<NA><NA><NA><NA>053-527-8885<NA><NA>대구광역시 중구 달성동 ***-*<NA><NA>(주)삼일이엔에스2023-02-13 11:26:32U2023-02-15 02:40:00<NA>342618.637553265366.44807431<NA>0<NA><NA><NA><NA>저수조청소업
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
314315저수조청소업09_30_14_P34800003480000312018000012018-02-13<NA>1영업/정상11정상<NA><NA><NA><NA>053-284-9210<NA><NA>대구광역시 달성군 가창면 용계리 ***-**대구광역시 달성군 가창면 가창로***길 **, *층42934보문건설(주)2023-04-13 10:03:07U2023-04-15 02:40:00<NA>346732.617793257024.52276531<NA>0<NA><NA><NA><NA>저수조청소업
315316저수조청소업09_30_14_P34800003480000312020000012021-11-16<NA>1영업/정상11정상<NA><NA><NA><NA>053-643-2377<NA><NA>대구광역시 달성군 화원읍 천내리 **-**대구광역시 달성군 화원읍 비슬로***길 *-**42953(주)강인종합관리2021-12-08 16:55:43U2021-12-10 02:40:00<NA>335778.665831257265.64274131<NA>0<NA><NA><NA><NA>저수조청소업
316317저수조청소업09_30_14_P34800003480000312023000012007-10-26<NA>1영업/정상11정상<NA><NA><NA><NA>053-633-2828<NA><NA>대구광역시 달성군 구지면 응암리 ****-**대구광역시 달성군 구지면 국가산단대로**길 **43008(주)문창2023-02-27 09:23:52U2023-03-01 02:40:00<NA>328727.083338239689.77213431<NA>0<NA><NA><NA><NA>저수조청소업
317318저수조청소업09_30_14_P34800003480000312023000022023-06-30<NA>1영업/정상11정상<NA><NA><NA><NA>053-654-3400<NA><NA>대구광역시 달성군 화원읍 명곡리 ***-*대구광역시 달성군 화원읍 성화로 *, *층42946(주)거목시스템2023-07-10 16:47:34U2023-07-13 02:40:00<NA>334768.549272256648.06769231<NA>0<NA><NA><NA><NA>저수조청소업
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