Overview

Dataset statistics

Number of variables59
Number of observations2602
Missing cells70795
Missing cells (%)46.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory506.0 B

Variable types

Numeric8
Categorical17
Text8
DateTime7
Unsupported19

Dataset

Description23년05월_6270000_대구광역시_04_17_01_P_출판사
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098190&dataSetDetailId=DDI_0000098187&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
제작취급품목내용 has constant value ""Constant
상세영업상태명 is highly imbalanced (66.5%)Imbalance
주변환경명 is highly imbalanced (92.0%)Imbalance
지하층수 is highly imbalanced (69.8%)Imbalance
건물용도명 is highly imbalanced (78.6%)Imbalance
지역구분명 is highly imbalanced (83.3%)Imbalance
인허가취소일자 has 2594 (99.7%) missing valuesMissing
폐업일자 has 1929 (74.1%) missing valuesMissing
휴업시작일자 has 2601 (> 99.9%) missing valuesMissing
휴업종료일자 has 2601 (> 99.9%) missing valuesMissing
재개업일자 has 2602 (100.0%) missing valuesMissing
소재지전화 has 1177 (45.2%) missing valuesMissing
소재지면적 has 2602 (100.0%) missing valuesMissing
소재지우편번호 has 1292 (49.7%) missing valuesMissing
도로명전체주소 has 44 (1.7%) missing valuesMissing
도로명우편번호 has 410 (15.8%) missing valuesMissing
업태구분명 has 2602 (100.0%) missing valuesMissing
좌표정보(X) has 69 (2.7%) missing valuesMissing
좌표정보(Y) has 69 (2.7%) missing valuesMissing
총층수 has 2057 (79.1%) missing valuesMissing
제작취급품목내용 has 2601 (> 99.9%) missing valuesMissing
시설면적 has 1914 (73.6%) missing valuesMissing
지상층수 has 1988 (76.4%) missing valuesMissing
비상계단여부 has 2602 (100.0%) missing valuesMissing
비상구여부 has 2602 (100.0%) missing valuesMissing
자동환기여부 has 2602 (100.0%) missing valuesMissing
청소년실여부 has 2602 (100.0%) missing valuesMissing
특수조명여부 has 2602 (100.0%) missing valuesMissing
방음시설여부 has 2602 (100.0%) missing valuesMissing
비디오재생기명 has 2602 (100.0%) missing valuesMissing
조명시설유무 has 2602 (100.0%) missing valuesMissing
음향시설여부 has 2602 (100.0%) missing valuesMissing
편의시설여부 has 2602 (100.0%) missing valuesMissing
소방시설여부 has 2602 (100.0%) missing valuesMissing
기존게임업외업종명 has 2602 (100.0%) missing valuesMissing
제공게임물명 has 2602 (100.0%) missing valuesMissing
공연장형태구분명 has 2602 (100.0%) missing valuesMissing
품목명 has 2602 (100.0%) missing valuesMissing
최초등록시점 has 2602 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 382 (14.7%) zerosZeros
시설면적 has 340 (13.1%) zerosZeros
지상층수 has 382 (14.7%) zerosZeros

Reproduction

Analysis started2024-04-21 19:47:16.547755
Analysis finished2024-04-21 19:47:19.041506
Duration2.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2602
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1301.5
Minimum1
Maximum2602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2024-04-22T04:47:19.172272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile131.05
Q1651.25
median1301.5
Q31951.75
95-th percentile2471.95
Maximum2602
Range2601
Interquartile range (IQR)1300.5

Descriptive statistics

Standard deviation751.27702
Coefficient of variation (CV)0.57723936
Kurtosis-1.2
Mean1301.5
Median Absolute Deviation (MAD)650.5
Skewness0
Sum3386503
Variance564417.17
MonotonicityStrictly increasing
2024-04-22T04:47:19.433602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1749 1
 
< 0.1%
1731 1
 
< 0.1%
1732 1
 
< 0.1%
1733 1
 
< 0.1%
1734 1
 
< 0.1%
1735 1
 
< 0.1%
1736 1
 
< 0.1%
1737 1
 
< 0.1%
1738 1
 
< 0.1%
Other values (2592) 2592
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2602 1
< 0.1%
2601 1
< 0.1%
2600 1
< 0.1%
2599 1
< 0.1%
2598 1
< 0.1%
2597 1
< 0.1%
2596 1
< 0.1%
2595 1
< 0.1%
2594 1
< 0.1%
2593 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
출판사
2602 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판사 2602
100.0%

Length

2024-04-22T04:47:19.658990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:19.814750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2602
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
04_17_01_P
2602 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row04_17_01_P
2nd row04_17_01_P
3rd row04_17_01_P
4th row04_17_01_P
5th row04_17_01_P

Common Values

ValueCountFrequency (%)
04_17_01_P 2602
100.0%

Length

2024-04-22T04:47:19.979825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:20.135496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04_17_01_p 2602
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3440522.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2024-04-22T04:47:20.280024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3440000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation23592.148
Coefficient of variation (CV)0.0068571407
Kurtosis-1.5146394
Mean3440522.7
Median Absolute Deviation (MAD)20000
Skewness-0.078715306
Sum8.95224 × 109
Variance5.5658945 × 108
MonotonicityIncreasing
2024-04-22T04:47:20.478931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 661
25.4%
3460000 578
22.2%
3470000 353
13.6%
3420000 318
12.2%
3450000 277
10.6%
3440000 238
 
9.1%
3430000 89
 
3.4%
3480000 88
 
3.4%
ValueCountFrequency (%)
3410000 661
25.4%
3420000 318
12.2%
3430000 89
 
3.4%
3440000 238
 
9.1%
3450000 277
10.6%
3460000 578
22.2%
3470000 353
13.6%
3480000 88
 
3.4%
ValueCountFrequency (%)
3480000 88
 
3.4%
3470000 353
13.6%
3460000 578
22.2%
3450000 277
10.6%
3440000 238
 
9.1%
3430000 89
 
3.4%
3420000 318
12.2%
3410000 661
25.4%
Distinct877
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
2024-04-22T04:47:21.113902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters52040
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique329 ?
Unique (%)12.6%

Sample

1st rowCDFG1251002022000016
2nd rowCDFG1251002022000017
3rd rowCDFG1251002022000018
4th rowCDFG1251002022000013
5th rowCDFG1251002022000014
ValueCountFrequency (%)
cdfg1251002022000008 8
 
0.3%
cdfg1251002022000006 8
 
0.3%
cdfg1251002019000002 8
 
0.3%
cdfg1251002023000002 8
 
0.3%
cdfg1251002019000007 8
 
0.3%
cdfg1251002016000003 8
 
0.3%
cdfg1251002021000009 8
 
0.3%
cdfg1251002020000001 8
 
0.3%
cdfg1251002019000006 8
 
0.3%
cdfg1251002022000004 8
 
0.3%
Other values (867) 2522
96.9%
2024-04-22T04:47:22.164434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20213
38.8%
1 8211
15.8%
2 6698
 
12.9%
5 3090
 
5.9%
C 2602
 
5.0%
D 2602
 
5.0%
F 2602
 
5.0%
G 2602
 
5.0%
9 893
 
1.7%
3 700
 
1.3%
Other values (4) 1827
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41632
80.0%
Uppercase Letter 10408
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20213
48.6%
1 8211
19.7%
2 6698
 
16.1%
5 3090
 
7.4%
9 893
 
2.1%
3 700
 
1.7%
4 483
 
1.2%
6 460
 
1.1%
8 454
 
1.1%
7 430
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 2602
25.0%
D 2602
25.0%
F 2602
25.0%
G 2602
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41632
80.0%
Latin 10408
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20213
48.6%
1 8211
19.7%
2 6698
 
16.1%
5 3090
 
7.4%
9 893
 
2.1%
3 700
 
1.7%
4 483
 
1.2%
6 460
 
1.1%
8 454
 
1.1%
7 430
 
1.0%
Latin
ValueCountFrequency (%)
C 2602
25.0%
D 2602
25.0%
F 2602
25.0%
G 2602
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20213
38.8%
1 8211
15.8%
2 6698
 
12.9%
5 3090
 
5.9%
C 2602
 
5.0%
D 2602
 
5.0%
F 2602
 
5.0%
G 2602
 
5.0%
9 893
 
1.7%
3 700
 
1.3%
Other values (4) 1827
 
3.5%
Distinct2075
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
Minimum1964-10-12 00:00:00
Maximum2023-05-19 00:00:00
2024-04-22T04:47:22.562083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T04:47:23.012259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing2594
Missing (%)99.7%
Memory size20.5 KiB
Minimum2009-11-03 00:00:00
Maximum2022-11-03 00:00:00
2024-04-22T04:47:23.377193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T04:47:23.680528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
1
1895 
3
605 
4
 
101
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 1895
72.8%
3 605
 
23.3%
4 101
 
3.9%
2 1
 
< 0.1%

Length

2024-04-22T04:47:24.036377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:24.349456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1895
72.8%
3 605
 
23.3%
4 101
 
3.9%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
영업/정상
1895 
폐업
605 
취소/말소/만료/정지/중지
 
101
휴업
 
1

Length

Max length14
Median length5
Mean length4.6506533
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1895
72.8%
폐업 605
 
23.3%
취소/말소/만료/정지/중지 101
 
3.9%
휴업 1
 
< 0.1%

Length

2024-04-22T04:47:24.721013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:25.048377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1895
72.8%
폐업 605
 
23.3%
취소/말소/만료/정지/중지 101
 
3.9%
휴업 1
 
< 0.1%

상세영업상태코드
Real number (ℝ)

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.489623
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2024-04-22T04:47:25.345918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q113
median13
Q313
95-th percentile13
Maximum35
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.1714022
Coefficient of variation (CV)0.53712833
Kurtosis4.8352095
Mean11.489623
Median Absolute Deviation (MAD)0
Skewness1.2983095
Sum29896
Variance38.086205
MonotonicityNot monotonic
2024-04-22T04:47:25.692161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13 1894
72.8%
3 604
 
23.2%
35 73
 
2.8%
30 19
 
0.7%
32 8
 
0.3%
2 1
 
< 0.1%
31 1
 
< 0.1%
14 1
 
< 0.1%
34 1
 
< 0.1%
ValueCountFrequency (%)
2 1
 
< 0.1%
3 604
 
23.2%
13 1894
72.8%
14 1
 
< 0.1%
30 19
 
0.7%
31 1
 
< 0.1%
32 8
 
0.3%
34 1
 
< 0.1%
35 73
 
2.8%
ValueCountFrequency (%)
35 73
 
2.8%
34 1
 
< 0.1%
32 8
 
0.3%
31 1
 
< 0.1%
30 19
 
0.7%
14 1
 
< 0.1%
13 1894
72.8%
3 604
 
23.2%
2 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
영업중
1894 
폐업
604 
직권말소
 
73
허가취소
 
19
신고취소
 
8
Other values (4)
 
4

Length

Max length5
Median length3
Mean length2.8066872
Min length2

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1894
72.8%
폐업 604
 
23.2%
직권말소 73
 
2.8%
허가취소 19
 
0.7%
신고취소 8
 
0.3%
휴업 1
 
< 0.1%
등록취소 1
 
< 0.1%
전입 1
 
< 0.1%
영업장폐쇄 1
 
< 0.1%

Length

2024-04-22T04:47:26.119113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:26.479813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1894
72.8%
폐업 604
 
23.2%
직권말소 73
 
2.8%
허가취소 19
 
0.7%
신고취소 8
 
0.3%
휴업 1
 
< 0.1%
등록취소 1
 
< 0.1%
전입 1
 
< 0.1%
영업장폐쇄 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct539
Distinct (%)80.1%
Missing1929
Missing (%)74.1%
Memory size20.5 KiB
Minimum1998-12-23 00:00:00
Maximum2023-05-19 00:00:00
2024-04-22T04:47:26.873042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T04:47:27.333223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2601
Missing (%)> 99.9%
Memory size20.5 KiB
Minimum2020-04-01 00:00:00
Maximum2020-04-01 00:00:00
2024-04-22T04:47:27.696596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T04:47:27.994005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2601
Missing (%)> 99.9%
Memory size20.5 KiB
Minimum2020-09-30 00:00:00
Maximum2020-09-30 00:00:00
2024-04-22T04:47:28.281320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T04:47:28.579365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

소재지전화
Text

MISSING 

Distinct1369
Distinct (%)96.1%
Missing1177
Missing (%)45.2%
Memory size20.5 KiB
2024-04-22T04:47:29.400453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.579649
Min length6

Characters and Unicode

Total characters15076
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

Unique1330 ?
Unique (%)93.3%

Sample

1st row053-242-0807
2nd row253-9878
3rd row257-5669
4th row256-4028
5th row256-3355
ValueCountFrequency (%)
000-0000 14
 
1.0%
952-5252 4
 
0.3%
053-794-7022 3
 
0.2%
053-246-9344 3
 
0.2%
053-961-6126 3
 
0.2%
053-626-4228 2
 
0.1%
053-587-0815 2
 
0.1%
000000 2
 
0.1%
053-291-8773 2
 
0.1%
053-421-6700 2
 
0.1%
Other values (1359) 1388
97.4%
2024-04-22T04:47:30.696296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2168
14.4%
5 2146
14.2%
0 2049
13.6%
3 1690
11.2%
2 1450
9.6%
7 1081
7.2%
4 1072
7.1%
6 1007
6.7%
1 889
5.9%
8 749
 
5.0%
Other values (5) 775
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12855
85.3%
Dash Punctuation 2168
 
14.4%
Close Punctuation 24
 
0.2%
Open Punctuation 14
 
0.1%
Other Punctuation 10
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2146
16.7%
0 2049
15.9%
3 1690
13.1%
2 1450
11.3%
7 1081
8.4%
4 1072
8.3%
6 1007
7.8%
1 889
6.9%
8 749
 
5.8%
9 722
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 2168
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15076
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2168
14.4%
5 2146
14.2%
0 2049
13.6%
3 1690
11.2%
2 1450
9.6%
7 1081
7.2%
4 1072
7.1%
6 1007
6.7%
1 889
5.9%
8 749
 
5.0%
Other values (5) 775
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15076
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2168
14.4%
5 2146
14.2%
0 2049
13.6%
3 1690
11.2%
2 1450
9.6%
7 1081
7.2%
4 1072
7.1%
6 1007
6.7%
1 889
5.9%
8 749
 
5.0%
Other values (5) 775
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

소재지우편번호
Text

MISSING 

Distinct509
Distinct (%)38.9%
Missing1292
Missing (%)49.7%
Memory size20.5 KiB
2024-04-22T04:47:31.753028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters9170
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique268 ?
Unique (%)20.5%

Sample

1st row700-804
2nd row700-803
3rd row700-421
4th row700-423
5th row700-440
ValueCountFrequency (%)
700-440 91
 
6.9%
700-823 36
 
2.7%
700-803 29
 
2.2%
700-831 24
 
1.8%
700-413 14
 
1.1%
700-802 13
 
1.0%
700-813 12
 
0.9%
706-822 11
 
0.8%
700-821 11
 
0.8%
700-421 9
 
0.7%
Other values (499) 1060
80.9%
2024-04-22T04:47:33.041115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2318
25.3%
7 1582
17.3%
- 1310
14.3%
8 858
 
9.4%
4 611
 
6.7%
1 576
 
6.3%
2 549
 
6.0%
3 448
 
4.9%
6 438
 
4.8%
5 282
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7860
85.7%
Dash Punctuation 1310
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2318
29.5%
7 1582
20.1%
8 858
 
10.9%
4 611
 
7.8%
1 576
 
7.3%
2 549
 
7.0%
3 448
 
5.7%
6 438
 
5.6%
5 282
 
3.6%
9 198
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 1310
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9170
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2318
25.3%
7 1582
17.3%
- 1310
14.3%
8 858
 
9.4%
4 611
 
6.7%
1 576
 
6.3%
2 549
 
6.0%
3 448
 
4.9%
6 438
 
4.8%
5 282
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9170
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2318
25.3%
7 1582
17.3%
- 1310
14.3%
8 858
 
9.4%
4 611
 
6.7%
1 576
 
6.3%
2 549
 
6.0%
3 448
 
4.9%
6 438
 
4.8%
5 282
 
3.1%
Distinct1447
Distinct (%)55.8%
Missing11
Missing (%)0.4%
Memory size20.5 KiB
2024-04-22T04:47:34.149920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length45
Mean length25.12582
Min length13

Characters and Unicode

Total characters65101
Distinct characters384
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1111 ?
Unique (%)42.9%

Sample

1st row대구광역시 중구 봉산동 ***-** 우손갤러리
2nd row대구광역시 중구 대봉동 **-* 새마을금고
3rd row대구광역시 중구 동인동*가 ***-*
4th row대구광역시 중구 동성로*가 *-*
5th row대구광역시 중구 남산동 ***-*
ValueCountFrequency (%)
대구광역시 2591
20.9%
번지 1836
14.8%
741
 
6.0%
중구 661
 
5.3%
수성구 576
 
4.7%
457
 
3.7%
달서구 352
 
2.8%
동구 318
 
2.6%
남산동 288
 
2.3%
북구 277
 
2.2%
Other values (903) 4278
34.6%
2024-04-22T04:47:35.765212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 13680
21.0%
11949
18.4%
5191
 
8.0%
3258
 
5.0%
3020
 
4.6%
2651
 
4.1%
2608
 
4.0%
2599
 
4.0%
2034
 
3.1%
- 1990
 
3.1%
Other values (374) 16121
24.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37265
57.2%
Other Punctuation 13699
 
21.0%
Space Separator 11949
 
18.4%
Dash Punctuation 1990
 
3.1%
Uppercase Letter 104
 
0.2%
Close Punctuation 36
 
0.1%
Open Punctuation 36
 
0.1%
Lowercase Letter 21
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5191
13.9%
3258
 
8.7%
3020
 
8.1%
2651
 
7.1%
2608
 
7.0%
2599
 
7.0%
2034
 
5.5%
1836
 
4.9%
979
 
2.6%
713
 
1.9%
Other values (338) 12376
33.2%
Uppercase Letter
ValueCountFrequency (%)
A 13
12.5%
B 12
11.5%
I 9
 
8.7%
C 8
 
7.7%
S 8
 
7.7%
L 7
 
6.7%
W 6
 
5.8%
K 6
 
5.8%
E 6
 
5.8%
H 6
 
5.8%
Other values (10) 23
22.1%
Lowercase Letter
ValueCountFrequency (%)
e 15
71.4%
a 2
 
9.5%
k 1
 
4.8%
r 1
 
4.8%
p 1
 
4.8%
c 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
* 13680
99.9%
, 11
 
0.1%
/ 5
 
< 0.1%
. 2
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
11949
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1990
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37265
57.2%
Common 27711
42.6%
Latin 125
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5191
13.9%
3258
 
8.7%
3020
 
8.1%
2651
 
7.1%
2608
 
7.0%
2599
 
7.0%
2034
 
5.5%
1836
 
4.9%
979
 
2.6%
713
 
1.9%
Other values (338) 12376
33.2%
Latin
ValueCountFrequency (%)
e 15
12.0%
A 13
 
10.4%
B 12
 
9.6%
I 9
 
7.2%
C 8
 
6.4%
S 8
 
6.4%
L 7
 
5.6%
W 6
 
4.8%
K 6
 
4.8%
E 6
 
4.8%
Other values (16) 35
28.0%
Common
ValueCountFrequency (%)
* 13680
49.4%
11949
43.1%
- 1990
 
7.2%
) 36
 
0.1%
( 36
 
0.1%
, 11
 
< 0.1%
/ 5
 
< 0.1%
. 2
 
< 0.1%
& 1
 
< 0.1%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37265
57.2%
ASCII 27836
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 13680
49.1%
11949
42.9%
- 1990
 
7.1%
) 36
 
0.1%
( 36
 
0.1%
e 15
 
0.1%
A 13
 
< 0.1%
B 12
 
< 0.1%
, 11
 
< 0.1%
I 9
 
< 0.1%
Other values (26) 85
 
0.3%
Hangul
ValueCountFrequency (%)
5191
13.9%
3258
 
8.7%
3020
 
8.1%
2651
 
7.1%
2608
 
7.0%
2599
 
7.0%
2034
 
5.5%
1836
 
4.9%
979
 
2.6%
713
 
1.9%
Other values (338) 12376
33.2%

도로명전체주소
Text

MISSING 

Distinct1992
Distinct (%)77.9%
Missing44
Missing (%)1.7%
Memory size20.5 KiB
2024-04-22T04:47:36.857790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length51
Mean length31.293589
Min length19

Characters and Unicode

Total characters80049
Distinct characters425
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1692 ?
Unique (%)66.1%

Sample

1st row대구광역시 중구 봉산문화길 **, 우손갤러리 (봉산동)
2nd row대구광역시 중구 달구벌대로 ****-**, 새마을금고 *층 (대봉동)
3rd row대구광역시 중구 동덕로**길 ** (동인동*가)
4th row대구광역시 중구 경상감영길 ***, *층 (동성로*가)
5th row대구광역시 중구 명륜로 **, *층 *호 (남산동)
ValueCountFrequency (%)
2569
 
16.4%
대구광역시 2558
 
16.3%
889
 
5.7%
중구 640
 
4.1%
수성구 577
 
3.7%
512
 
3.3%
436
 
2.8%
달서구 352
 
2.2%
동구 317
 
2.0%
남산동 279
 
1.8%
Other values (1489) 6554
41.8%
2024-04-22T04:47:38.236299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 14118
17.6%
13383
16.7%
5418
 
6.8%
3798
 
4.7%
3507
 
4.4%
2639
 
3.3%
2591
 
3.2%
2567
 
3.2%
( 2531
 
3.2%
) 2531
 
3.2%
Other values (415) 26966
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44771
55.9%
Other Punctuation 16111
 
20.1%
Space Separator 13383
 
16.7%
Open Punctuation 2531
 
3.2%
Close Punctuation 2531
 
3.2%
Dash Punctuation 570
 
0.7%
Uppercase Letter 124
 
0.2%
Lowercase Letter 25
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5418
 
12.1%
3798
 
8.5%
3507
 
7.8%
2639
 
5.9%
2591
 
5.8%
2567
 
5.7%
2439
 
5.4%
1231
 
2.7%
1160
 
2.6%
1027
 
2.3%
Other values (377) 18394
41.1%
Uppercase Letter
ValueCountFrequency (%)
B 15
12.1%
A 14
11.3%
I 12
9.7%
C 11
 
8.9%
S 9
 
7.3%
T 9
 
7.3%
L 7
 
5.6%
H 7
 
5.6%
D 6
 
4.8%
E 6
 
4.8%
Other values (11) 28
22.6%
Other Punctuation
ValueCountFrequency (%)
* 14118
87.6%
, 1981
 
12.3%
· 5
 
< 0.1%
/ 3
 
< 0.1%
& 2
 
< 0.1%
. 2
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 16
64.0%
a 3
 
12.0%
r 2
 
8.0%
k 2
 
8.0%
c 1
 
4.0%
p 1
 
4.0%
Space Separator
ValueCountFrequency (%)
13383
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2531
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2531
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 570
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44771
55.9%
Common 35129
43.9%
Latin 149
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5418
 
12.1%
3798
 
8.5%
3507
 
7.8%
2639
 
5.9%
2591
 
5.8%
2567
 
5.7%
2439
 
5.4%
1231
 
2.7%
1160
 
2.6%
1027
 
2.3%
Other values (377) 18394
41.1%
Latin
ValueCountFrequency (%)
e 16
 
10.7%
B 15
 
10.1%
A 14
 
9.4%
I 12
 
8.1%
C 11
 
7.4%
S 9
 
6.0%
T 9
 
6.0%
L 7
 
4.7%
H 7
 
4.7%
D 6
 
4.0%
Other values (17) 43
28.9%
Common
ValueCountFrequency (%)
* 14118
40.2%
13383
38.1%
( 2531
 
7.2%
) 2531
 
7.2%
, 1981
 
5.6%
- 570
 
1.6%
· 5
 
< 0.1%
/ 3
 
< 0.1%
~ 3
 
< 0.1%
& 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44771
55.9%
ASCII 35273
44.1%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 14118
40.0%
13383
37.9%
( 2531
 
7.2%
) 2531
 
7.2%
, 1981
 
5.6%
- 570
 
1.6%
e 16
 
< 0.1%
B 15
 
< 0.1%
A 14
 
< 0.1%
I 12
 
< 0.1%
Other values (27) 102
 
0.3%
Hangul
ValueCountFrequency (%)
5418
 
12.1%
3798
 
8.5%
3507
 
7.8%
2639
 
5.9%
2591
 
5.8%
2567
 
5.7%
2439
 
5.4%
1231
 
2.7%
1160
 
2.6%
1027
 
2.3%
Other values (377) 18394
41.1%
None
ValueCountFrequency (%)
· 5
100.0%

도로명우편번호
Text

MISSING 

Distinct1077
Distinct (%)49.1%
Missing410
Missing (%)15.8%
Memory size20.5 KiB
2024-04-22T04:47:39.178524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.8275547
Min length5

Characters and Unicode

Total characters12774
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique649 ?
Unique (%)29.6%

Sample

1st row41959
2nd row41951
3rd row41905
4th row41909
5th row41966
ValueCountFrequency (%)
700-831 57
 
2.6%
700-823 36
 
1.6%
700-802 27
 
1.2%
41965 22
 
1.0%
42699 20
 
0.9%
41966 15
 
0.7%
41260 15
 
0.7%
700-832 14
 
0.6%
41958 13
 
0.6%
41919 12
 
0.5%
Other values (1067) 1961
89.5%
2024-04-22T04:47:40.353158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 2022
15.8%
0 2018
15.8%
1 1523
11.9%
7 1467
11.5%
2 1428
11.2%
- 907
7.1%
8 898
7.0%
9 674
 
5.3%
6 664
 
5.2%
3 615
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11867
92.9%
Dash Punctuation 907
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 2022
17.0%
0 2018
17.0%
1 1523
12.8%
7 1467
12.4%
2 1428
12.0%
8 898
7.6%
9 674
 
5.7%
6 664
 
5.6%
3 615
 
5.2%
5 558
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 907
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12774
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 2022
15.8%
0 2018
15.8%
1 1523
11.9%
7 1467
11.5%
2 1428
11.2%
- 907
7.1%
8 898
7.0%
9 674
 
5.3%
6 664
 
5.2%
3 615
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12774
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 2022
15.8%
0 2018
15.8%
1 1523
11.9%
7 1467
11.5%
2 1428
11.2%
- 907
7.1%
8 898
7.0%
9 674
 
5.3%
6 664
 
5.2%
3 615
 
4.8%
Distinct2520
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
2024-04-22T04:47:41.384077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length6.6921599
Min length1

Characters and Unicode

Total characters17413
Distinct characters775
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2443 ?
Unique (%)93.9%

Sample

1st row우손갤러리
2nd row디지털경제
3rd row샤샤
4th row출판사 결
5th row마키즈
ValueCountFrequency (%)
도서출판 237
 
6.8%
주식회사 113
 
3.2%
출판사 48
 
1.4%
디자인 23
 
0.7%
사단법인 12
 
0.3%
출판 12
 
0.3%
press 8
 
0.2%
커뮤니케이션 7
 
0.2%
books 7
 
0.2%
미디어 7
 
0.2%
Other values (2787) 3037
86.5%
2024-04-22T04:47:42.916767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
909
 
5.2%
622
 
3.6%
612
 
3.5%
611
 
3.5%
371
 
2.1%
357
 
2.1%
348
 
2.0%
) 330
 
1.9%
( 327
 
1.9%
324
 
1.9%
Other values (765) 12602
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14114
81.1%
Space Separator 909
 
5.2%
Lowercase Letter 830
 
4.8%
Uppercase Letter 756
 
4.3%
Close Punctuation 330
 
1.9%
Open Punctuation 327
 
1.9%
Decimal Number 72
 
0.4%
Other Punctuation 64
 
0.4%
Dash Punctuation 7
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
622
 
4.4%
612
 
4.3%
611
 
4.3%
371
 
2.6%
357
 
2.5%
348
 
2.5%
324
 
2.3%
318
 
2.3%
308
 
2.2%
205
 
1.5%
Other values (691) 10038
71.1%
Uppercase Letter
ValueCountFrequency (%)
S 62
 
8.2%
O 56
 
7.4%
A 53
 
7.0%
E 48
 
6.3%
M 48
 
6.3%
C 42
 
5.6%
I 39
 
5.2%
B 39
 
5.2%
P 37
 
4.9%
T 37
 
4.9%
Other values (15) 295
39.0%
Lowercase Letter
ValueCountFrequency (%)
o 94
11.3%
e 87
10.5%
s 67
 
8.1%
i 66
 
8.0%
n 64
 
7.7%
a 63
 
7.6%
r 50
 
6.0%
t 49
 
5.9%
l 45
 
5.4%
u 31
 
3.7%
Other values (13) 214
25.8%
Decimal Number
ValueCountFrequency (%)
1 18
25.0%
2 12
16.7%
3 11
15.3%
5 10
13.9%
0 8
11.1%
9 6
 
8.3%
4 2
 
2.8%
7 2
 
2.8%
8 2
 
2.8%
6 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 33
51.6%
& 17
26.6%
, 5
 
7.8%
' 3
 
4.7%
" 2
 
3.1%
% 2
 
3.1%
/ 1
 
1.6%
· 1
 
1.6%
Math Symbol
ValueCountFrequency (%)
> 1
33.3%
< 1
33.3%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
909
100.0%
Close Punctuation
ValueCountFrequency (%)
) 330
100.0%
Open Punctuation
ValueCountFrequency (%)
( 327
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14083
80.9%
Common 1713
 
9.8%
Latin 1586
 
9.1%
Han 31
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
622
 
4.4%
612
 
4.3%
611
 
4.3%
371
 
2.6%
357
 
2.5%
348
 
2.5%
324
 
2.3%
318
 
2.3%
308
 
2.2%
205
 
1.5%
Other values (666) 10007
71.1%
Latin
ValueCountFrequency (%)
o 94
 
5.9%
e 87
 
5.5%
s 67
 
4.2%
i 66
 
4.2%
n 64
 
4.0%
a 63
 
4.0%
S 62
 
3.9%
O 56
 
3.5%
A 53
 
3.3%
r 50
 
3.2%
Other values (38) 924
58.3%
Common
ValueCountFrequency (%)
909
53.1%
) 330
 
19.3%
( 327
 
19.1%
. 33
 
1.9%
1 18
 
1.1%
& 17
 
1.0%
2 12
 
0.7%
3 11
 
0.6%
5 10
 
0.6%
0 8
 
0.5%
Other values (16) 38
 
2.2%
Han
ValueCountFrequency (%)
3
 
9.7%
2
 
6.5%
2
 
6.5%
2
 
6.5%
2
 
6.5%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
Other values (15) 15
48.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14080
80.9%
ASCII 3298
 
18.9%
CJK 30
 
0.2%
Compat Jamo 3
 
< 0.1%
None 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
909
27.6%
) 330
 
10.0%
( 327
 
9.9%
o 94
 
2.9%
e 87
 
2.6%
s 67
 
2.0%
i 66
 
2.0%
n 64
 
1.9%
a 63
 
1.9%
S 62
 
1.9%
Other values (63) 1229
37.3%
Hangul
ValueCountFrequency (%)
622
 
4.4%
612
 
4.3%
611
 
4.3%
371
 
2.6%
357
 
2.5%
348
 
2.5%
324
 
2.3%
318
 
2.3%
308
 
2.2%
205
 
1.5%
Other values (663) 10004
71.1%
CJK
ValueCountFrequency (%)
3
 
10.0%
2
 
6.7%
2
 
6.7%
2
 
6.7%
2
 
6.7%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
Other values (14) 14
46.7%
Compat Jamo
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
None
ValueCountFrequency (%)
· 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

최종수정시점
Date

UNIQUE 

Distinct2602
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
Minimum2002-12-09 14:41:12
Maximum2023-05-31 10:54:17
2024-04-22T04:47:43.145711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T04:47:43.389818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
I
2149 
U
453 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2149
82.6%
U 453
 
17.4%

Length

2024-04-22T04:47:43.621049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:43.782161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2149
82.6%
u 453
 
17.4%
Distinct815
Distinct (%)31.3%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-06-02 02:40:00
2024-04-22T04:47:43.963536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T04:47:44.210538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2018
Distinct (%)79.7%
Missing69
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean344104.31
Minimum327220.13
Maximum358275.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2024-04-22T04:47:44.460001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327220.13
5-th percentile335763.28
Q1342144.24
median344111.45
Q3346678.07
95-th percentile353452.75
Maximum358275.31
Range31055.177
Interquartile range (IQR)4533.8242

Descriptive statistics

Standard deviation4705.8942
Coefficient of variation (CV)0.013675778
Kurtosis1.1608052
Mean344104.31
Median Absolute Deviation (MAD)2472.5293
Skewness-0.14644758
Sum8.7161623 × 108
Variance22145441
MonotonicityNot monotonic
2024-04-22T04:47:44.705503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342632.844134809 16
 
0.6%
345299.742438478 9
 
0.3%
337648.965009121 8
 
0.3%
346942.691096638 7
 
0.3%
338899.41279497 6
 
0.2%
343201.760779929 6
 
0.2%
344686.25933796 6
 
0.2%
346674.97751655 6
 
0.2%
343232.770826323 6
 
0.2%
346678.067968752 5
 
0.2%
Other values (2008) 2458
94.5%
(Missing) 69
 
2.7%
ValueCountFrequency (%)
327220.130902183 1
 
< 0.1%
327735.044523737 1
 
< 0.1%
327853.173808645 3
0.1%
328096.87628034 1
 
< 0.1%
328822.571709171 1
 
< 0.1%
329247.390016457 1
 
< 0.1%
329282.731288444 1
 
< 0.1%
329781.136341095 1
 
< 0.1%
329807.357341146 1
 
< 0.1%
329865.142852919 1
 
< 0.1%
ValueCountFrequency (%)
358275.307432689 1
 
< 0.1%
358213.056494159 1
 
< 0.1%
357975.880928076 1
 
< 0.1%
357888.724162031 3
0.1%
357835.663302828 1
 
< 0.1%
357672.591920251 1
 
< 0.1%
356881.723507738 1
 
< 0.1%
356698.367083593 1
 
< 0.1%
356563.295271177 1
 
< 0.1%
356548.114071857 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2018
Distinct (%)79.7%
Missing69
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean263282.76
Minimum239218.02
Maximum277949.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2024-04-22T04:47:44.956913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239218.02
5-th percentile258436.6
Q1261692.98
median263479.39
Q3264679.62
95-th percentile269657.55
Maximum277949.2
Range38731.182
Interquartile range (IQR)2986.634

Descriptive statistics

Standard deviation3703.8239
Coefficient of variation (CV)0.014067856
Kurtosis8.7058356
Mean263282.76
Median Absolute Deviation (MAD)1371.9444
Skewness-1.1270936
Sum6.6689524 × 108
Variance13718311
MonotonicityNot monotonic
2024-04-22T04:47:45.213964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262643.90217311 16
 
0.6%
266806.443246079 9
 
0.3%
261472.280465309 8
 
0.3%
263989.847736771 7
 
0.3%
257234.537084558 6
 
0.2%
263954.780466089 6
 
0.2%
263958.880864104 6
 
0.2%
264766.863984298 6
 
0.2%
264151.658395369 6
 
0.2%
264683.827138794 5
 
0.2%
Other values (2008) 2458
94.5%
(Missing) 69
 
2.7%
ValueCountFrequency (%)
239218.020982809 1
 
< 0.1%
240358.722944009 3
0.1%
241089.878751321 1
 
< 0.1%
244377.337529059 1
 
< 0.1%
244381.844596492 1
 
< 0.1%
244467.090015024 1
 
< 0.1%
244503.866743982 1
 
< 0.1%
244588.625975144 1
 
< 0.1%
244614.169050611 1
 
< 0.1%
244623.565628627 1
 
< 0.1%
ValueCountFrequency (%)
277949.20287308 1
< 0.1%
277837.416974049 1
< 0.1%
277799.708684077 1
< 0.1%
277700.900956561 1
< 0.1%
277649.808631725 1
< 0.1%
277397.284319935 1
< 0.1%
276507.553135584 1
< 0.1%
275303.582391456 1
< 0.1%
274473.154015239 1
< 0.1%
274156.338863801 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
출판사
2602 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판사 2602
100.0%

Length

2024-04-22T04:47:45.450306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:45.608126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2602
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
출판인쇄업
2602 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 2602
100.0%

Length

2024-04-22T04:47:45.769061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:45.927920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 2602
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)2.6%
Missing2057
Missing (%)79.1%
Infinite0
Infinite (%)0.0%
Mean1.2972477
Minimum0
Maximum21
Zeros382
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2024-04-22T04:47:46.076295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum21
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.691164
Coefficient of variation (CV)2.0745182
Kurtosis16.463381
Mean1.2972477
Median Absolute Deviation (MAD)0
Skewness3.3936789
Sum707
Variance7.2423637
MonotonicityNot monotonic
2024-04-22T04:47:46.261980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 382
 
14.7%
4 31
 
1.2%
5 26
 
1.0%
3 26
 
1.0%
2 25
 
1.0%
1 21
 
0.8%
6 12
 
0.5%
7 7
 
0.3%
8 5
 
0.2%
10 4
 
0.2%
Other values (4) 6
 
0.2%
(Missing) 2057
79.1%
ValueCountFrequency (%)
0 382
14.7%
1 21
 
0.8%
2 25
 
1.0%
3 26
 
1.0%
4 31
 
1.2%
5 26
 
1.0%
6 12
 
0.5%
7 7
 
0.3%
8 5
 
0.2%
9 1
 
< 0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
19 3
 
0.1%
16 1
 
< 0.1%
10 4
 
0.2%
9 1
 
< 0.1%
8 5
 
0.2%
7 7
 
0.3%
6 12
 
0.5%
5 26
1.0%
4 31
1.2%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
<NA>
2540 
기타
 
30
아파트지역
 
14
주택가주변
 
13
학교정화(절대)
 
3

Length

Max length8
Median length4
Mean length3.9950038
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2540
97.6%
기타 30
 
1.2%
아파트지역 14
 
0.5%
주택가주변 13
 
0.5%
학교정화(절대) 3
 
0.1%
학교정화(상대) 2
 
0.1%

Length

2024-04-22T04:47:46.472793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:46.665619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2540
97.6%
기타 30
 
1.2%
아파트지역 14
 
0.5%
주택가주변 13
 
0.5%
학교정화(절대 3
 
0.1%
학교정화(상대 2
 
0.1%

제작취급품목내용
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2601
Missing (%)> 99.9%
Memory size20.5 KiB
2024-04-22T04:47:47.082066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10
Distinct characters9
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row1인 무점포 출판사
ValueCountFrequency (%)
1인 1
33.3%
무점포 1
33.3%
출판사 1
33.3%
2024-04-22T04:47:47.706805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
20.0%
1 1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
70.0%
Space Separator 2
 
20.0%
Decimal Number 1
 
10.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
70.0%
Common 3
30.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Common
ValueCountFrequency (%)
2
66.7%
1 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
70.0%
ASCII 3
30.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2
66.7%
1 1
33.3%
Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct309
Distinct (%)44.9%
Missing1914
Missing (%)73.6%
Infinite0
Infinite (%)0.0%
Mean78.39
Minimum0
Maximum1835.29
Zeros340
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2024-04-22T04:47:47.932823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.16
Q395.3275
95-th percentile338.9025
Maximum1835.29
Range1835.29
Interquartile range (IQR)95.3275

Descriptive statistics

Standard deviation153.44917
Coefficient of variation (CV)1.9575095
Kurtosis32.90786
Mean78.39
Median Absolute Deviation (MAD)5.16
Skewness4.5358967
Sum53932.32
Variance23546.649
MonotonicityNot monotonic
2024-04-22T04:47:48.181742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 340
 
13.1%
33.0 6
 
0.2%
66.0 4
 
0.2%
42.0 3
 
0.1%
84.99 3
 
0.1%
115.0 3
 
0.1%
30.0 3
 
0.1%
72.0 2
 
0.1%
83.0 2
 
0.1%
84.0 2
 
0.1%
Other values (299) 320
 
12.3%
(Missing) 1914
73.6%
ValueCountFrequency (%)
0.0 340
13.1%
2.19 1
 
< 0.1%
3.0 2
 
0.1%
3.32 1
 
< 0.1%
7.0 1
 
< 0.1%
8.8 2
 
0.1%
9.0 1
 
< 0.1%
10.0 1
 
< 0.1%
15.0 1
 
< 0.1%
15.25 1
 
< 0.1%
ValueCountFrequency (%)
1835.29 1
< 0.1%
1039.13 1
< 0.1%
989.93 1
< 0.1%
957.24 1
< 0.1%
757.12 1
< 0.1%
755.58 1
< 0.1%
749.9 1
< 0.1%
727.17 1
< 0.1%
645.36 1
< 0.1%
644.1 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)2.9%
Missing1988
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean1.4788274
Minimum0
Maximum24
Zeros382
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size23.0 KiB
2024-04-22T04:47:48.404420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum24
Range24
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.8230075
Coefficient of variation (CV)1.90895
Kurtosis17.658299
Mean1.4788274
Median Absolute Deviation (MAD)0
Skewness3.5386793
Sum908
Variance7.9693715
MonotonicityNot monotonic
2024-04-22T04:47:48.606141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 382
 
14.7%
2 50
 
1.9%
3 46
 
1.8%
4 43
 
1.7%
1 35
 
1.3%
5 26
 
1.0%
6 7
 
0.3%
7 6
 
0.2%
8 4
 
0.2%
15 3
 
0.1%
Other values (8) 12
 
0.5%
(Missing) 1988
76.4%
ValueCountFrequency (%)
0 382
14.7%
1 35
 
1.3%
2 50
 
1.9%
3 46
 
1.8%
4 43
 
1.7%
5 26
 
1.0%
6 7
 
0.3%
7 6
 
0.2%
8 4
 
0.2%
9 2
 
0.1%
ValueCountFrequency (%)
24 1
 
< 0.1%
20 1
 
< 0.1%
19 1
 
< 0.1%
18 2
0.1%
15 3
0.1%
14 1
 
< 0.1%
11 1
 
< 0.1%
10 3
0.1%
9 2
0.1%
8 4
0.2%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
<NA>
2149 
0
389 
1
 
59
3
 
2
2
 
2

Length

Max length4
Median length4
Mean length3.4777095
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2149
82.6%
0 389
 
15.0%
1 59
 
2.3%
3 2
 
0.1%
2 2
 
0.1%
4 1
 
< 0.1%

Length

2024-04-22T04:47:48.817821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:49.009873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2149
82.6%
0 389
 
15.0%
1 59
 
2.3%
3 2
 
0.1%
2 2
 
0.1%
4 1
 
< 0.1%

건물용도명
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
<NA>
2254 
근린생활시설
237 
아파트
 
41
사무실
 
25
단독주택
 
23
Other values (8)
 
22

Length

Max length15
Median length4
Mean length4.1917756
Min length3

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2254
86.6%
근린생활시설 237
 
9.1%
아파트 41
 
1.6%
사무실 25
 
1.0%
단독주택 23
 
0.9%
교육연구시설 8
 
0.3%
다가구용 주택(공동주택적용) 6
 
0.2%
종교시설 2
 
0.1%
생산시설 2
 
0.1%
콘도미니엄 1
 
< 0.1%
Other values (3) 3
 
0.1%

Length

2024-04-22T04:47:49.211453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2254
86.4%
근린생활시설 237
 
9.1%
아파트 41
 
1.6%
사무실 25
 
1.0%
단독주택 23
 
0.9%
교육연구시설 8
 
0.3%
다가구용 6
 
0.2%
주택(공동주택적용 6
 
0.2%
종교시설 2
 
0.1%
생산시설 2
 
0.1%
Other values (4) 4
 
0.2%

통로너비
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
<NA>
2213 
0
389 

Length

Max length4
Median length4
Mean length3.5514988
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2213
85.0%
0 389
 
15.0%

Length

2024-04-22T04:47:49.421128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:49.590670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2213
85.0%
0 389
 
15.0%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
<NA>
2213 
0
389 

Length

Max length4
Median length4
Mean length3.5514988
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2213
85.0%
0 389
 
15.0%

Length

2024-04-22T04:47:49.773357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:49.942362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2213
85.0%
0 389
 
15.0%

노래방실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
<NA>
2213 
0
389 

Length

Max length4
Median length4
Mean length3.5514988
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2213
85.0%
0 389
 
15.0%

Length

2024-04-22T04:47:50.124548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:50.296080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2213
85.0%
0 389
 
15.0%

청소년실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
<NA>
2213 
0
389 

Length

Max length4
Median length4
Mean length3.5514988
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2213
85.0%
0 389
 
15.0%

Length

2024-04-22T04:47:50.477118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:50.646419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2213
85.0%
0 389
 
15.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
<NA>
2213 
0
389 

Length

Max length4
Median length4
Mean length3.5514988
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2213
85.0%
0 389
 
15.0%

Length

2024-04-22T04:47:50.825820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T04:47:50.999190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2213
85.0%
0 389
 
15.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2602
Missing (%)100.0%
Memory size23.0 KiB

지역구분명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
<NA>
2374 
일반주거지역
 
107
주거지역
 
34
근린상업지역
 
25
일반상업지역
 
20
Other values (10)
 
42

Length

Max length6
Median length4
Mean length4.1398924
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2374
91.2%
일반주거지역 107
 
4.1%
주거지역 34
 
1.3%
근린상업지역 25
 
1.0%
일반상업지역 20
 
0.8%
중심상업지역 12
 
0.5%
준주거지역 11
 
0.4%
전용주거지역 4
 
0.2%
자연녹지지역 4
 
0.2%
상업지역 4
 
0.2%
Other values (5) 7
 
0.3%

Length

2024-04-22T04:47:51.192713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2374
91.2%
일반주거지역 107
 
4.1%
주거지역 34
 
1.3%
근린상업지역 25
 
1.0%
일반상업지역 20
 
0.8%
중심상업지역 12
 
0.5%
준주거지역 11
 
0.4%
전용주거지역 4
 
0.2%
자연녹지지역 4
 
0.2%
상업지역 4
 
0.2%
Other values (5) 7
 
0.3%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01출판사04_17_01_P3410000CDFG12510020220000162022-06-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 봉산동 ***-** 우손갤러리대구광역시 중구 봉산문화길 **, 우손갤러리 (봉산동)41959우손갤러리2022-06-15 10:18:24I2022-06-17 00:22:30<NA>344190.098746263740.0172출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
12출판사04_17_01_P3410000CDFG12510020220000172022-06-15<NA>1영업/정상13영업중<NA><NA><NA><NA>053-242-0807<NA><NA>대구광역시 중구 대봉동 **-* 새마을금고대구광역시 중구 달구벌대로 ****-**, 새마을금고 *층 (대봉동)41951디지털경제2022-06-15 10:20:51I2022-06-17 00:22:30<NA>344876.402172263571.997368출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23출판사04_17_01_P3410000CDFG12510020220000182022-06-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동*가 ***-*대구광역시 중구 동덕로**길 ** (동인동*가)41905샤샤2022-06-22 18:15:27I2022-06-25 00:22:31<NA>344914.235305264667.743635출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
34출판사04_17_01_P3410000CDFG12510020220000132022-05-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로*가 *-*대구광역시 중구 경상감영길 ***, *층 (동성로*가)41909출판사 결2022-05-17 14:34:35I2022-05-19 00:22:31<NA>344019.839664264732.681122출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
45출판사04_17_01_P3410000CDFG12510020220000142022-05-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 ***-*대구광역시 중구 명륜로 **, *층 *호 (남산동)41966마키즈2022-05-17 14:36:55I2022-05-19 00:22:31<NA>343548.185836263714.998192출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
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78출판사04_17_01_P3410000CDFG12510020020000222002-11-28<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA><NA><NA>700-421대구광역시 중구 동인동*가 **-*번지대구광역시 중구 공평로 ** (동인동*가)<NA>옛터서적2005-01-13 13:05:12I2018-08-31 23:59:59<NA>344532.974388264743.137356출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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25932594출판사04_17_01_P3480000CDFG12510020220000042022-03-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 **** 대실역청아람 *단지 ***동 ****호대구광역시 달성군 다사읍 대실역북로 **, ***동 ****호 (대실역청아람 *단지)42912소율서당2022-03-02 19:13:00I2022-03-04 00:22:37<NA>332648.595843263288.808019출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
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25952596출판사04_17_01_P3480000CDFG12510020200000012020-02-12<NA>1영업/정상13영업중<NA><NA><NA><NA>0532631102<NA><NA>대구광역시 달성군 다사읍 세천리 ****-*대구광역시 달성군 다사읍 세천로 ***, ***호42930예술과사람2023-03-27 16:02:04U2023-03-29 02:40:00<NA>333005.246399264684.966794출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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25992600출판사04_17_01_P3480000CDFG12510020180000052018-08-22<NA>1영업/정상13영업중<NA><NA><NA><NA>053-785-6683<NA><NA>대구광역시 달성군 현풍면 상리 **-*번지 E*-***호대구광역시 달성군 현풍면 테크노중앙대로 ***, DGIST E*-***호42988DGIST Press2018-08-22 14:08:00I2018-08-31 23:59:59<NA><NA><NA>출판사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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