Overview

Dataset statistics

Number of variables59
Number of observations2719
Missing cells73760
Missing cells (%)46.0%
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

Description23년12월_6270000_대구광역시_04_17_01_P_출판사
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000104219&dataSetDetailId=DDI_0000104238&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
영업상태구분코드 is highly imbalanced (50.1%)Imbalance
영업상태명 is highly imbalanced (50.1%)Imbalance
상세영업상태명 is highly imbalanced (66.9%)Imbalance
주변환경명 is highly imbalanced (92.0%)Imbalance
지하층수 is highly imbalanced (66.4%)Imbalance
건물용도명 is highly imbalanced (79.0%)Imbalance
지역구분명 is highly imbalanced (83.6%)Imbalance
인허가취소일자 has 2711 (99.7%) missing valuesMissing
폐업일자 has 2025 (74.5%) missing valuesMissing
휴업시작일자 has 2718 (> 99.9%) missing valuesMissing
휴업종료일자 has 2718 (> 99.9%) missing valuesMissing
재개업일자 has 2719 (100.0%) missing valuesMissing
소재지전화 has 1267 (46.6%) missing valuesMissing
소재지면적 has 2719 (100.0%) missing valuesMissing
소재지우편번호 has 1410 (51.9%) missing valuesMissing
도로명전체주소 has 44 (1.6%) missing valuesMissing
도로명우편번호 has 412 (15.2%) missing valuesMissing
업태구분명 has 2719 (100.0%) missing valuesMissing
좌표정보(X) has 69 (2.5%) missing valuesMissing
좌표정보(Y) has 69 (2.5%) missing valuesMissing
총층수 has 2046 (75.2%) missing valuesMissing
제작취급품목내용 has 2718 (> 99.9%) missing valuesMissing
시설면적 has 1903 (70.0%) missing valuesMissing
지상층수 has 1978 (72.7%) missing valuesMissing
비상계단여부 has 2719 (100.0%) missing valuesMissing
비상구여부 has 2719 (100.0%) missing valuesMissing
자동환기여부 has 2719 (100.0%) missing valuesMissing
청소년실여부 has 2719 (100.0%) missing valuesMissing
특수조명여부 has 2719 (100.0%) missing valuesMissing
방음시설여부 has 2719 (100.0%) missing valuesMissing
비디오재생기명 has 2719 (100.0%) missing valuesMissing
조명시설유무 has 2719 (100.0%) missing valuesMissing
음향시설여부 has 2719 (100.0%) missing valuesMissing
편의시설여부 has 2719 (100.0%) missing valuesMissing
소방시설여부 has 2719 (100.0%) missing valuesMissing
기존게임업외업종명 has 2719 (100.0%) missing valuesMissing
제공게임물명 has 2719 (100.0%) missing valuesMissing
공연장형태구분명 has 2719 (100.0%) missing valuesMissing
품목명 has 2719 (100.0%) missing valuesMissing
최초등록시점 has 2719 (100.0%) missing valuesMissing
개방자치단체코드 is highly skewed (γ1 = 21.62424551)Skewed
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 507 (18.6%) zerosZeros
시설면적 has 464 (17.1%) zerosZeros
지상층수 has 507 (18.6%) zerosZeros

Reproduction

Analysis started2024-03-13 14:08:15.905609
Analysis finished2024-03-13 14:08:17.529994
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2719
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1360
Minimum1
Maximum2719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-13T23:08:17.601837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile136.9
Q1680.5
median1360
Q32039.5
95-th percentile2583.1
Maximum2719
Range2718
Interquartile range (IQR)1359

Descriptive statistics

Standard deviation785.05202
Coefficient of variation (CV)0.57724413
Kurtosis-1.2
Mean1360
Median Absolute Deviation (MAD)680
Skewness0
Sum3697840
Variance616306.67
MonotonicityStrictly increasing
2024-03-13T23:08:17.740916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1817 1
 
< 0.1%
1809 1
 
< 0.1%
1810 1
 
< 0.1%
1811 1
 
< 0.1%
1812 1
 
< 0.1%
1813 1
 
< 0.1%
1814 1
 
< 0.1%
1815 1
 
< 0.1%
1816 1
 
< 0.1%
Other values (2709) 2709
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 (%)
2719 1
< 0.1%
2718 1
< 0.1%
2717 1
< 0.1%
2716 1
< 0.1%
2715 1
< 0.1%
2714 1
< 0.1%
2713 1
< 0.1%
2712 1
< 0.1%
2711 1
< 0.1%
2710 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
출판사
2719 

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 2719
100.0%

Length

2024-03-13T23:08:17.851443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:17.954935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2719
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
04_17_01_P
2719 

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 2719
100.0%

Length

2024-03-13T23:08:18.078036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:18.192399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04_17_01_p 2719
100.0%

개방자치단체코드
Real number (ℝ)

SKEWED 

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443263.7
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-13T23:08:18.268954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3450000
Q33460000
95-th percentile3470000
Maximum5141000
Range1731000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation69314.795
Coefficient of variation (CV)0.020130551
Kurtosis527.83719
Mean3443263.7
Median Absolute Deviation (MAD)20000
Skewness21.624246
Sum9.362234 × 109
Variance4.8045408 × 109
MonotonicityIncreasing
2024-03-13T23:08:18.367395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3410000 681
25.0%
3460000 599
22.0%
3470000 371
13.6%
3420000 326
12.0%
3450000 292
10.7%
3440000 250
 
9.2%
3480000 99
 
3.6%
3430000 97
 
3.6%
5141000 4
 
0.1%
ValueCountFrequency (%)
3410000 681
25.0%
3420000 326
12.0%
3430000 97
 
3.6%
3440000 250
 
9.2%
3450000 292
10.7%
3460000 599
22.0%
3470000 371
13.6%
3480000 99
 
3.6%
5141000 4
 
0.1%
ValueCountFrequency (%)
5141000 4
 
0.1%
3480000 99
 
3.6%
3470000 371
13.6%
3460000 599
22.0%
3450000 292
10.7%
3440000 250
 
9.2%
3430000 97
 
3.6%
3420000 326
12.0%
3410000 681
25.0%

관리번호
Text

Distinct903
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
2024-03-13T23:08:18.562885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters54380
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

Unique341 ?
Unique (%)12.5%

Sample

1st rowCDFG1251002018000030
2nd rowCDFG1251002021000005
3rd rowCDFG1251002020000028
4th rowCDFG1251002021000004
5th rowCDFG1251002021000001
ValueCountFrequency (%)
cdfg1251002020000001 9
 
0.3%
cdfg1251002023000008 8
 
0.3%
cdfg1251002023000011 8
 
0.3%
cdfg1251002023000005 8
 
0.3%
cdfg1251002020000003 8
 
0.3%
cdfg1251002022000004 8
 
0.3%
cdfg1251002022000008 8
 
0.3%
cdfg1251002022000006 8
 
0.3%
cdfg1251002009000001 8
 
0.3%
cdfg1251002019000006 8
 
0.3%
Other values (893) 2638
97.0%
2024-03-13T23:08:18.880657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21054
38.7%
1 8497
15.6%
2 7109
 
13.1%
5 3221
 
5.9%
C 2719
 
5.0%
D 2719
 
5.0%
F 2719
 
5.0%
G 2719
 
5.0%
9 905
 
1.7%
3 847
 
1.6%
Other values (4) 1871
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43504
80.0%
Uppercase Letter 10876
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21054
48.4%
1 8497
19.5%
2 7109
 
16.3%
5 3221
 
7.4%
9 905
 
2.1%
3 847
 
1.9%
4 498
 
1.1%
6 468
 
1.1%
8 465
 
1.1%
7 440
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 2719
25.0%
D 2719
25.0%
F 2719
25.0%
G 2719
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43504
80.0%
Latin 10876
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21054
48.4%
1 8497
19.5%
2 7109
 
16.3%
5 3221
 
7.4%
9 905
 
2.1%
3 847
 
1.9%
4 498
 
1.1%
6 468
 
1.1%
8 465
 
1.1%
7 440
 
1.0%
Latin
ValueCountFrequency (%)
C 2719
25.0%
D 2719
25.0%
F 2719
25.0%
G 2719
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21054
38.7%
1 8497
15.6%
2 7109
 
13.1%
5 3221
 
5.9%
C 2719
 
5.0%
D 2719
 
5.0%
F 2719
 
5.0%
G 2719
 
5.0%
9 905
 
1.7%
3 847
 
1.6%
Other values (4) 1871
 
3.4%

인허가일자
Date

Distinct2165
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
Minimum1964-10-12 00:00:00
Maximum2023-12-28 00:00:00
2024-03-13T23:08:19.028085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:08:19.175089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing2711
Missing (%)99.7%
Memory size21.4 KiB
Minimum2009-11-03 00:00:00
Maximum2022-11-03 00:00:00
2024-03-13T23:08:19.319853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:08:19.421202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
1
1991 
3
626 
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 1991
73.2%
3 626
 
23.0%
4 101
 
3.7%
2 1
 
< 0.1%

Length

2024-03-13T23:08:19.519584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:19.612472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1991
73.2%
3 626
 
23.0%
4 101
 
3.7%
2 1
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
영업/정상
1991 
폐업
626 
취소/말소/만료/정지/중지
 
101
휴업
 
1

Length

Max length14
Median length5
Mean length4.6425156
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 1991
73.2%
폐업 626
 
23.0%
취소/말소/만료/정지/중지 101
 
3.7%
휴업 1
 
< 0.1%

Length

2024-03-13T23:08:19.771431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:19.873757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1991
73.2%
폐업 626
 
23.0%
취소/말소/만료/정지/중지 101
 
3.7%
휴업 1
 
< 0.1%

상세영업상태코드
Real number (ℝ)

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.477381
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-13T23:08:19.956693image/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 deviation6.0896648
Coefficient of variation (CV)0.53057963
Kurtosis4.9477204
Mean11.477381
Median Absolute Deviation (MAD)0
Skewness1.2787073
Sum31207
Variance37.084017
MonotonicityNot monotonic
2024-03-13T23:08:20.051988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13 1990
73.2%
3 625
 
23.0%
35 73
 
2.7%
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%
3 625
 
23.0%
13 1990
73.2%
14 1
 
< 0.1%
30 19
 
0.7%
31 1
 
< 0.1%
32 8
 
0.3%
34 1
 
< 0.1%
35 73
 
2.7%
ValueCountFrequency (%)
35 73
 
2.7%
34 1
 
< 0.1%
32 8
 
0.3%
31 1
 
< 0.1%
30 19
 
0.7%
14 1
 
< 0.1%
13 1990
73.2%
3 625
 
23.0%
2 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
영업중
1990 
폐업
625 
직권말소
 
73
허가취소
 
19
신고취소
 
8
Other values (4)
 
4

Length

Max length5
Median length3
Mean length2.8072821
Min length2

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1990
73.2%
폐업 625
 
23.0%
직권말소 73
 
2.7%
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

2024-03-13T23:08:20.180819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:20.310380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1990
73.2%
폐업 625
 
23.0%
직권말소 73
 
2.7%
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 

Distinct559
Distinct (%)80.5%
Missing2025
Missing (%)74.5%
Memory size21.4 KiB
Minimum1998-12-23 00:00:00
Maximum2023-12-29 00:00:00
2024-03-13T23:08:20.436877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:08:20.573676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2718
Missing (%)> 99.9%
Memory size21.4 KiB
Minimum2020-04-01 00:00:00
Maximum2020-04-01 00:00:00
2024-03-13T23:08:20.711498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:08:20.798130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2718
Missing (%)> 99.9%
Memory size21.4 KiB
Minimum2020-09-30 00:00:00
Maximum2020-09-30 00:00:00
2024-03-13T23:08:20.889806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:08:20.976321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

소재지전화
Text

MISSING 

Distinct1394
Distinct (%)96.0%
Missing1267
Missing (%)46.6%
Memory size21.4 KiB
2024-03-13T23:08:21.197168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.587466
Min length6

Characters and Unicode

Total characters15373
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

Unique1353 ?
Unique (%)93.2%

Sample

1st row053-746-4321
2nd row053-255-9056
3rd row053-252-6737
4th row053-242-0807
5th row0532570228
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%
1800-6505 2
 
0.1%
053-572-9400 2
 
0.1%
053-250-1240 2
 
0.1%
070-4220-8473 2
 
0.1%
053-324-9824 2
 
0.1%
Other values (1384) 1415
97.5%
2024-03-13T23:08:21.605269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2205
14.3%
5 2184
14.2%
0 2099
13.7%
3 1727
11.2%
2 1478
9.6%
7 1102
7.2%
4 1090
7.1%
6 1025
6.7%
1 910
5.9%
8 768
 
5.0%
Other values (5) 785
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13115
85.3%
Dash Punctuation 2205
 
14.3%
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 2184
16.7%
0 2099
16.0%
3 1727
13.2%
2 1478
11.3%
7 1102
8.4%
4 1090
8.3%
6 1025
7.8%
1 910
6.9%
8 768
 
5.9%
9 732
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 2205
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 15373
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2205
14.3%
5 2184
14.2%
0 2099
13.7%
3 1727
11.2%
2 1478
9.6%
7 1102
7.2%
4 1090
7.1%
6 1025
6.7%
1 910
5.9%
8 768
 
5.0%
Other values (5) 785
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15373
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2205
14.3%
5 2184
14.2%
0 2099
13.7%
3 1727
11.2%
2 1478
9.6%
7 1102
7.2%
4 1090
7.1%
6 1025
6.7%
1 910
5.9%
8 768
 
5.0%
Other values (5) 785
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

소재지우편번호
Text

MISSING 

Distinct507
Distinct (%)38.7%
Missing1410
Missing (%)51.9%
Memory size21.4 KiB
2024-03-13T23:08:21.923028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters9163
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

Unique265 ?
Unique (%)20.2%

Sample

1st row700-804
2nd row700-803
3rd row700-421
4th row700-423
5th row700-440
ValueCountFrequency (%)
700-440 91
 
7.0%
700-823 36
 
2.8%
700-803 29
 
2.2%
700-831 25
 
1.9%
700-413 14
 
1.1%
700-802 14
 
1.1%
700-813 12
 
0.9%
706-822 11
 
0.8%
700-821 11
 
0.8%
700-809 9
 
0.7%
Other values (497) 1057
80.7%
2024-03-13T23:08:22.377069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2317
25.3%
7 1580
17.2%
- 1309
14.3%
8 857
 
9.4%
4 611
 
6.7%
1 574
 
6.3%
2 550
 
6.0%
3 449
 
4.9%
6 437
 
4.8%
5 281
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7854
85.7%
Dash Punctuation 1309
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2317
29.5%
7 1580
20.1%
8 857
 
10.9%
4 611
 
7.8%
1 574
 
7.3%
2 550
 
7.0%
3 449
 
5.7%
6 437
 
5.6%
5 281
 
3.6%
9 198
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 1309
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9163
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2317
25.3%
7 1580
17.2%
- 1309
14.3%
8 857
 
9.4%
4 611
 
6.7%
1 574
 
6.3%
2 550
 
6.0%
3 449
 
4.9%
6 437
 
4.8%
5 281
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9163
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2317
25.3%
7 1580
17.2%
- 1309
14.3%
8 857
 
9.4%
4 611
 
6.7%
1 574
 
6.3%
2 550
 
6.0%
3 449
 
4.9%
6 437
 
4.8%
5 281
 
3.1%

소재지전체주소
Text

Distinct1520
Distinct (%)56.1%
Missing11
Missing (%)0.4%
Memory size21.4 KiB
2024-03-13T23:08:22.906902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length25.09712
Min length13

Characters and Unicode

Total characters67963
Distinct characters387
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

Unique1161 ?
Unique (%)42.9%

Sample

1st row대구광역시 중구 남산동 ***-*번지
2nd row대구광역시 중구 공평동 **-** 우원빌딩
3rd row대구광역시 중구 대안동 **-*
4th row대구광역시 중구 서문로*가 **-*
5th row대구광역시 중구 남산동 ****-*
ValueCountFrequency (%)
대구광역시 2708
20.9%
번지 1811
 
14.0%
884
 
6.8%
중구 681
 
5.3%
수성구 597
 
4.6%
호 465
 
3.6%
달서구 370
 
2.9%
동구 326
 
2.5%
남산동 294
 
2.3%
북구 292
 
2.3%
Other values (956) 4533
35.0%
2024-03-13T23:08:23.379608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 14234
20.9%
12526
18.4%
구 5421
 
8.0%
동 3375
 
5.0%
대 3163
 
4.7%
시 2770
 
4.1%
역 2731
 
4.0%
광 2718
 
4.0%
- 2071
 
3.0%
지 2017
 
3.0%
Other values (377) 16937
24.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38903
57.2%
Other Punctuation 14255
 
21.0%
Space Separator 12526
 
18.4%
Dash Punctuation 2071
 
3.0%
Uppercase Letter 108
 
0.2%
Open Punctuation 38
 
0.1%
Close Punctuation 38
 
0.1%
Lowercase Letter 23
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5421
13.9%
동 3375
 
8.7%
대 3163
 
8.1%
시 2770
 
7.1%
역 2731
 
7.0%
광 2718
 
7.0%
지 2017
 
5.2%
번 1811
 
4.7%
성 1037
 
2.7%
중 740
 
1.9%
Other values (341) 13120
33.7%
Uppercase Letter
ValueCountFrequency (%)
B 13
12.0%
A 13
12.0%
I 9
 
8.3%
S 8
 
7.4%
L 8
 
7.4%
C 8
 
7.4%
H 7
 
6.5%
E 6
 
5.6%
W 6
 
5.6%
K 6
 
5.6%
Other values (10) 24
22.2%
Lowercase Letter
ValueCountFrequency (%)
e 17
73.9%
a 2
 
8.7%
c 1
 
4.3%
p 1
 
4.3%
r 1
 
4.3%
k 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
* 14234
99.9%
, 12
 
0.1%
/ 5
 
< 0.1%
. 3
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
12526
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2071
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38903
57.2%
Common 28929
42.6%
Latin 131
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5421
13.9%
동 3375
 
8.7%
대 3163
 
8.1%
시 2770
 
7.1%
역 2731
 
7.0%
광 2718
 
7.0%
지 2017
 
5.2%
번 1811
 
4.7%
성 1037
 
2.7%
중 740
 
1.9%
Other values (341) 13120
33.7%
Latin
ValueCountFrequency (%)
e 17
13.0%
B 13
 
9.9%
A 13
 
9.9%
I 9
 
6.9%
S 8
 
6.1%
L 8
 
6.1%
C 8
 
6.1%
H 7
 
5.3%
E 6
 
4.6%
W 6
 
4.6%
Other values (16) 36
27.5%
Common
ValueCountFrequency (%)
* 14234
49.2%
12526
43.3%
- 2071
 
7.2%
( 38
 
0.1%
) 38
 
0.1%
, 12
 
< 0.1%
/ 5
 
< 0.1%
. 3
 
< 0.1%
& 1
 
< 0.1%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38903
57.2%
ASCII 29060
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 14234
49.0%
12526
43.1%
- 2071
 
7.1%
( 38
 
0.1%
) 38
 
0.1%
e 17
 
0.1%
B 13
 
< 0.1%
A 13
 
< 0.1%
, 12
 
< 0.1%
I 9
 
< 0.1%
Other values (26) 89
 
0.3%
Hangul
ValueCountFrequency (%)
구 5421
13.9%
동 3375
 
8.7%
대 3163
 
8.1%
시 2770
 
7.1%
역 2731
 
7.0%
광 2718
 
7.0%
지 2017
 
5.2%
번 1811
 
4.7%
성 1037
 
2.7%
중 740
 
1.9%
Other values (341) 13120
33.7%

도로명전체주소
Text

MISSING 

Distinct2087
Distinct (%)78.0%
Missing44
Missing (%)1.6%
Memory size21.4 KiB
2024-03-13T23:08:23.689473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length52
Mean length31.490093
Min length19

Characters and Unicode

Total characters84236
Distinct characters429
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

Unique1777 ?
Unique (%)66.4%

Sample

1st row대구광역시 중구 남산로*길 *** (남산동)
2nd row대구광역시 중구 공평로 **, 우원빌딩 *층 (공평동)
3rd row대구광역시 중구 종로 **, *층 (대안동)
4th row대구광역시 중구 서성로**길 ** (서문로*가)
5th row대구광역시 중구 남산로*길 **-*, ***호 (남산동)
ValueCountFrequency (%)
2687
 
16.3%
대구광역시 2675
 
16.2%
호 952
 
5.8%
중구 660
 
4.0%
수성구 598
 
3.6%
동 549
 
3.3%
층 480
 
2.9%
달서구 370
 
2.2%
동구 325
 
2.0%
남산동 285
 
1.7%
Other values (1571) 6926
42.0%
2024-03-13T23:08:24.182095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 14922
17.7%
14090
16.7%
구 5660
 
6.7%
동 3960
 
4.7%
대 3677
 
4.4%
시 2758
 
3.3%
역 2718
 
3.2%
광 2685
 
3.2%
( 2639
 
3.1%
) 2639
 
3.1%
Other values (419) 28488
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47048
55.9%
Other Punctuation 17059
 
20.3%
Space Separator 14090
 
16.7%
Open Punctuation 2639
 
3.1%
Close Punctuation 2639
 
3.1%
Dash Punctuation 599
 
0.7%
Uppercase Letter 132
 
0.2%
Lowercase Letter 27
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5660
 
12.0%
동 3960
 
8.4%
대 3677
 
7.8%
시 2758
 
5.9%
역 2718
 
5.8%
광 2685
 
5.7%
로 2548
 
5.4%
길 1291
 
2.7%
성 1226
 
2.6%
호 1099
 
2.3%
Other values (381) 19426
41.3%
Uppercase Letter
ValueCountFrequency (%)
B 17
12.9%
A 16
12.1%
I 12
 
9.1%
C 11
 
8.3%
S 9
 
6.8%
T 9
 
6.8%
L 8
 
6.1%
H 8
 
6.1%
E 6
 
4.5%
D 6
 
4.5%
Other values (11) 30
22.7%
Other Punctuation
ValueCountFrequency (%)
* 14922
87.5%
, 2123
 
12.4%
· 6
 
< 0.1%
/ 3
 
< 0.1%
. 3
 
< 0.1%
& 2
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 18
66.7%
a 3
 
11.1%
r 2
 
7.4%
k 2
 
7.4%
c 1
 
3.7%
p 1
 
3.7%
Space Separator
ValueCountFrequency (%)
14090
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2639
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2639
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 599
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47048
55.9%
Common 37029
44.0%
Latin 159
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5660
 
12.0%
동 3960
 
8.4%
대 3677
 
7.8%
시 2758
 
5.9%
역 2718
 
5.8%
광 2685
 
5.7%
로 2548
 
5.4%
길 1291
 
2.7%
성 1226
 
2.6%
호 1099
 
2.3%
Other values (381) 19426
41.3%
Latin
ValueCountFrequency (%)
e 18
 
11.3%
B 17
 
10.7%
A 16
 
10.1%
I 12
 
7.5%
C 11
 
6.9%
S 9
 
5.7%
T 9
 
5.7%
L 8
 
5.0%
H 8
 
5.0%
E 6
 
3.8%
Other values (17) 45
28.3%
Common
ValueCountFrequency (%)
* 14922
40.3%
14090
38.1%
( 2639
 
7.1%
) 2639
 
7.1%
, 2123
 
5.7%
- 599
 
1.6%
· 6
 
< 0.1%
~ 3
 
< 0.1%
/ 3
 
< 0.1%
. 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47048
55.9%
ASCII 37182
44.1%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 14922
40.1%
14090
37.9%
( 2639
 
7.1%
) 2639
 
7.1%
, 2123
 
5.7%
- 599
 
1.6%
e 18
 
< 0.1%
B 17
 
< 0.1%
A 16
 
< 0.1%
I 12
 
< 0.1%
Other values (27) 107
 
0.3%
Hangul
ValueCountFrequency (%)
구 5660
 
12.0%
동 3960
 
8.4%
대 3677
 
7.8%
시 2758
 
5.9%
역 2718
 
5.8%
광 2685
 
5.7%
로 2548
 
5.4%
길 1291
 
2.7%
성 1226
 
2.6%
호 1099
 
2.3%
Other values (381) 19426
41.3%
None
ValueCountFrequency (%)
· 6
100.0%

도로명우편번호
Text

MISSING 

Distinct1118
Distinct (%)48.5%
Missing412
Missing (%)15.2%
Memory size21.4 KiB
2024-03-13T23:08:24.571062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.7837018
Min length5

Characters and Unicode

Total characters13343
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

Unique662 ?
Unique (%)28.7%

Sample

1st row41969
2nd row41938
3rd row41919
4th row41919
5th row41972
ValueCountFrequency (%)
700-831 58
 
2.5%
700-823 36
 
1.6%
700-802 27
 
1.2%
41965 23
 
1.0%
42699 21
 
0.9%
41260 16
 
0.7%
41966 15
 
0.7%
700-832 14
 
0.6%
41958 13
 
0.6%
41959 12
 
0.5%
Other values (1108) 2072
89.8%
2024-03-13T23:08:25.073901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 2178
16.3%
0 2058
15.4%
1 1604
12.0%
2 1523
11.4%
7 1488
11.2%
8 921
6.9%
- 904
6.8%
9 727
 
5.4%
6 691
 
5.2%
3 661
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12439
93.2%
Dash Punctuation 904
 
6.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 2178
17.5%
0 2058
16.5%
1 1604
12.9%
2 1523
12.2%
7 1488
12.0%
8 921
7.4%
9 727
 
5.8%
6 691
 
5.6%
3 661
 
5.3%
5 588
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 904
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13343
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 2178
16.3%
0 2058
15.4%
1 1604
12.0%
2 1523
11.4%
7 1488
11.2%
8 921
6.9%
- 904
6.8%
9 727
 
5.4%
6 691
 
5.2%
3 661
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13343
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 2178
16.3%
0 2058
15.4%
1 1604
12.0%
2 1523
11.4%
7 1488
11.2%
8 921
6.9%
- 904
6.8%
9 727
 
5.4%
6 691
 
5.2%
3 661
 
5.0%

사업장명
Text

Distinct2631
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
2024-03-13T23:08:25.487317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length6.6818683
Min length1

Characters and Unicode

Total characters18168
Distinct characters790
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

Unique2548 ?
Unique (%)93.7%

Sample

1st row디더블유디기획출판사
2nd row도서출판 지아이
3rd row인디생존연구소
4th row그레타책방
5th row애드가
ValueCountFrequency (%)
도서출판 247
 
6.7%
주식회사 122
 
3.3%
출판사 51
 
1.4%
디자인 23
 
0.6%
출판 12
 
0.3%
사단법인 12
 
0.3%
press 8
 
0.2%
books 8
 
0.2%
커뮤니케이션 7
 
0.2%
미디어 7
 
0.2%
Other values (2907) 3174
86.5%
2024-03-13T23:08:26.031342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
952
 
5.2%
사 640
 
3.5%
판 630
 
3.5%
출 629
 
3.5%
서 382
 
2.1%
주 375
 
2.1%
도 359
 
2.0%
) 341
 
1.9%
( 338
 
1.9%
인 337
 
1.9%
Other values (780) 13185
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14722
81.0%
Space Separator 952
 
5.2%
Lowercase Letter 866
 
4.8%
Uppercase Letter 788
 
4.3%
Close Punctuation 341
 
1.9%
Open Punctuation 338
 
1.9%
Decimal Number 82
 
0.5%
Other Punctuation 68
 
0.4%
Dash Punctuation 7
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 640
 
4.3%
판 630
 
4.3%
출 629
 
4.3%
서 382
 
2.6%
주 375
 
2.5%
도 359
 
2.4%
인 337
 
2.3%
이 330
 
2.2%
스 326
 
2.2%
디 214
 
1.5%
Other values (706) 10500
71.3%
Uppercase Letter
ValueCountFrequency (%)
S 66
 
8.4%
O 57
 
7.2%
A 56
 
7.1%
M 50
 
6.3%
E 49
 
6.2%
C 43
 
5.5%
L 41
 
5.2%
I 40
 
5.1%
B 40
 
5.1%
T 39
 
4.9%
Other values (15) 307
39.0%
Lowercase Letter
ValueCountFrequency (%)
o 97
11.2%
e 91
10.5%
i 70
 
8.1%
s 68
 
7.9%
a 66
 
7.6%
n 64
 
7.4%
t 54
 
6.2%
r 53
 
6.1%
l 49
 
5.7%
u 34
 
3.9%
Other values (13) 220
25.4%
Decimal Number
ValueCountFrequency (%)
1 21
25.6%
2 14
17.1%
3 13
15.9%
5 10
12.2%
0 8
 
9.8%
9 6
 
7.3%
8 5
 
6.1%
4 2
 
2.4%
7 2
 
2.4%
6 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 33
48.5%
& 18
26.5%
, 7
 
10.3%
' 3
 
4.4%
" 2
 
2.9%
% 2
 
2.9%
· 2
 
2.9%
/ 1
 
1.5%
Math Symbol
ValueCountFrequency (%)
+ 1
33.3%
< 1
33.3%
> 1
33.3%
Space Separator
ValueCountFrequency (%)
952
100.0%
Close Punctuation
ValueCountFrequency (%)
) 341
100.0%
Open Punctuation
ValueCountFrequency (%)
( 338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14691
80.9%
Common 1792
 
9.9%
Latin 1654
 
9.1%
Han 31
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 640
 
4.4%
판 630
 
4.3%
출 629
 
4.3%
서 382
 
2.6%
주 375
 
2.6%
도 359
 
2.4%
인 337
 
2.3%
이 330
 
2.2%
스 326
 
2.2%
디 214
 
1.5%
Other values (681) 10469
71.3%
Latin
ValueCountFrequency (%)
o 97
 
5.9%
e 91
 
5.5%
i 70
 
4.2%
s 68
 
4.1%
a 66
 
4.0%
S 66
 
4.0%
n 64
 
3.9%
O 57
 
3.4%
A 56
 
3.4%
t 54
 
3.3%
Other values (38) 965
58.3%
Common
ValueCountFrequency (%)
952
53.1%
) 341
 
19.0%
( 338
 
18.9%
. 33
 
1.8%
1 21
 
1.2%
& 18
 
1.0%
2 14
 
0.8%
3 13
 
0.7%
5 10
 
0.6%
0 8
 
0.4%
Other values (16) 44
 
2.5%
Han
ValueCountFrequency (%)
文 3
 
9.7%
靑 2
 
6.5%
印 2
 
6.5%
堂 2
 
6.5%
自 2
 
6.5%
鳳 1
 
3.2%
岡 1
 
3.2%
齋 1
 
3.2%
圓 1
 
3.2%
明 1
 
3.2%
Other values (15) 15
48.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14688
80.8%
ASCII 3444
 
19.0%
CJK 30
 
0.2%
Compat Jamo 3
 
< 0.1%
None 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
952
27.6%
) 341
 
9.9%
( 338
 
9.8%
o 97
 
2.8%
e 91
 
2.6%
i 70
 
2.0%
s 68
 
2.0%
a 66
 
1.9%
S 66
 
1.9%
n 64
 
1.9%
Other values (63) 1291
37.5%
Hangul
ValueCountFrequency (%)
사 640
 
4.4%
판 630
 
4.3%
출 629
 
4.3%
서 382
 
2.6%
주 375
 
2.6%
도 359
 
2.4%
인 337
 
2.3%
이 330
 
2.2%
스 326
 
2.2%
디 214
 
1.5%
Other values (678) 10466
71.3%
CJK
ValueCountFrequency (%)
文 3
 
10.0%
靑 2
 
6.7%
印 2
 
6.7%
堂 2
 
6.7%
自 2
 
6.7%
鳳 1
 
3.3%
岡 1
 
3.3%
齋 1
 
3.3%
圓 1
 
3.3%
明 1
 
3.3%
Other values (14) 14
46.7%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
33.3%
ㄱ 1
33.3%
ㆍ 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
龍 1
100.0%

최종수정시점
Date

UNIQUE 

Distinct2719
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
Minimum2002-12-09 14:41:12
Maximum2023-12-30 16:19:35
2024-03-13T23:08:26.164267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:08:26.285728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
I
2223 
U
496 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2223
81.8%
U 496
 
18.2%

Length

2024-03-13T23:08:26.446141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:26.541994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2223
81.8%
u 496
 
18.2%

데이터갱신일자
Date

Distinct909
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
Minimum2018-08-31 23:59:59
Maximum2024-01-01 02:40:00
2024-03-13T23:08:26.659715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:08:26.797680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2107
Distinct (%)79.5%
Missing69
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean344045.93
Minimum327220.13
Maximum365715.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-13T23:08:26.931167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327220.13
5-th percentile335707.74
Q1341920.49
median344076.61
Q3346674.98
95-th percentile353409.16
Maximum365715.23
Range38495.101
Interquartile range (IQR)4754.483

Descriptive statistics

Standard deviation4738.384
Coefficient of variation (CV)0.013772533
Kurtosis1.2347219
Mean344045.93
Median Absolute Deviation (MAD)2506.6891
Skewness-0.11802291
Sum9.1172173 × 108
Variance22452283
MonotonicityNot monotonic
2024-03-13T23:08:27.106974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342632.844134809 16
 
0.6%
337648.965009121 9
 
0.3%
346942.691096638 9
 
0.3%
345299.742438478 8
 
0.3%
346674.97751655 7
 
0.3%
338899.41279497 6
 
0.2%
343201.760779929 6
 
0.2%
344686.25933796 6
 
0.2%
343232.770826323 6
 
0.2%
346678.067968752 5
 
0.2%
Other values (2097) 2572
94.6%
(Missing) 69
 
2.5%
ValueCountFrequency (%)
327220.130902183 1
< 0.1%
327735.044523737 1
< 0.1%
327783.070078798 1
< 0.1%
327853.173808645 2
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%
ValueCountFrequency (%)
365715.232035858 1
 
< 0.1%
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%
357646.727977937 1
 
< 0.1%
356881.723507738 1
 
< 0.1%
356698.367083593 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2107
Distinct (%)79.5%
Missing69
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean263313.25
Minimum239218.02
Maximum307054.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-13T23:08:27.246288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239218.02
5-th percentile258390.06
Q1261699.31
median263479.39
Q3264683.83
95-th percentile269862.34
Maximum307054.15
Range67836.133
Interquartile range (IQR)2984.5208

Descriptive statistics

Standard deviation3970.6805
Coefficient of variation (CV)0.015079684
Kurtosis15.455188
Mean263313.25
Median Absolute Deviation (MAD)1390.0339
Skewness-0.033223509
Sum6.977801 × 108
Variance15766303
MonotonicityNot monotonic
2024-03-13T23:08:27.410764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262643.90217311 16
 
0.6%
261472.280465309 9
 
0.3%
263989.847736771 9
 
0.3%
266806.443246079 8
 
0.3%
264766.863984298 7
 
0.3%
257234.537084558 6
 
0.2%
263954.780466089 6
 
0.2%
263958.880864104 6
 
0.2%
264151.658395369 6
 
0.2%
264683.827138794 5
 
0.2%
Other values (2097) 2572
94.6%
(Missing) 69
 
2.5%
ValueCountFrequency (%)
239218.020982809 1
< 0.1%
240358.722944009 2
0.1%
240890.879287638 1
< 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%
ValueCountFrequency (%)
307054.153887814 1
< 0.1%
295183.160492808 1
< 0.1%
292585.288941117 1
< 0.1%
291503.417370896 1
< 0.1%
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%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
출판사
2719 

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 2719
100.0%

Length

2024-03-13T23:08:27.545661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:27.643933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2719
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
출판인쇄업
2719 

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 2719
100.0%

Length

2024-03-13T23:08:27.751565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:27.882201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 2719
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)2.1%
Missing2046
Missing (%)75.2%
Infinite0
Infinite (%)0.0%
Mean1.0579495
Minimum0
Maximum21
Zeros507
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-13T23:08:27.978413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.4
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4738934
Coefficient of variation (CV)2.3383852
Kurtosis20.459297
Mean1.0579495
Median Absolute Deviation (MAD)0
Skewness3.7991865
Sum712
Variance6.1201488
MonotonicityNot monotonic
2024-03-13T23:08:28.091324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 507
 
18.6%
4 31
 
1.1%
2 27
 
1.0%
5 26
 
1.0%
3 26
 
1.0%
1 22
 
0.8%
6 12
 
0.4%
7 7
 
0.3%
8 5
 
0.2%
10 4
 
0.1%
Other values (4) 6
 
0.2%
(Missing) 2046
75.2%
ValueCountFrequency (%)
0 507
18.6%
1 22
 
0.8%
2 27
 
1.0%
3 26
 
1.0%
4 31
 
1.1%
5 26
 
1.0%
6 12
 
0.4%
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
 
0.1%
9 1
 
< 0.1%
8 5
 
0.2%
7 7
 
0.3%
6 12
 
0.4%
5 26
1.0%
4 31
1.1%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
<NA>
2654 
기타
 
32
아파트지역
 
15
주택가주변
 
13
학교정화(절대)
 
3

Length

Max length8
Median length4
Mean length3.9941155
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> 2654
97.6%
기타 32
 
1.2%
아파트지역 15
 
0.6%
주택가주변 13
 
0.5%
학교정화(절대) 3
 
0.1%
학교정화(상대) 2
 
0.1%

Length

2024-03-13T23:08:28.206046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:28.320389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2654
97.6%
기타 32
 
1.2%
아파트지역 15
 
0.6%
주택가주변 13
 
0.5%
학교정화(절대 3
 
0.1%
학교정화(상대 2
 
0.1%

제작취급품목내용
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2718
Missing (%)> 99.9%
Memory size21.4 KiB
2024-03-13T23:08:28.469326image/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%
2024-03-13T23:08:28.804856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
20.0%
1 1
10.0%
인 1
10.0%
무 1
10.0%
점 1
10.0%
포 1
10.0%
출 1
10.0%
판 1
10.0%
사 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 (%)
인 1
14.3%
무 1
14.3%
점 1
14.3%
포 1
14.3%
출 1
14.3%
판 1
14.3%
사 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 (%)
인 1
14.3%
무 1
14.3%
점 1
14.3%
포 1
14.3%
출 1
14.3%
판 1
14.3%
사 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 (%)
인 1
14.3%
무 1
14.3%
점 1
14.3%
포 1
14.3%
출 1
14.3%
판 1
14.3%
사 1
14.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct312
Distinct (%)38.2%
Missing1903
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean66.471728
Minimum0
Maximum1835.29
Zeros464
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-13T23:08:28.935192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q383.595
95-th percentile296.25
Maximum1835.29
Range1835.29
Interquartile range (IQR)83.595

Descriptive statistics

Standard deviation143.75029
Coefficient of variation (CV)2.1625779
Kurtosis37.848092
Mean66.471728
Median Absolute Deviation (MAD)0
Skewness4.8742914
Sum54240.93
Variance20664.146
MonotonicityNot monotonic
2024-03-13T23:08:29.071840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 464
 
17.1%
33.0 7
 
0.3%
66.0 4
 
0.1%
30.0 3
 
0.1%
84.99 3
 
0.1%
115.0 3
 
0.1%
42.0 3
 
0.1%
165.0 2
 
0.1%
26.4 2
 
0.1%
127.06 2
 
0.1%
Other values (302) 323
 
11.9%
(Missing) 1903
70.0%
ValueCountFrequency (%)
0.0 464
17.1%
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%
13.5 1
 
< 0.1%
15.0 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 (%)2.4%
Missing1978
Missing (%)72.7%
Infinite0
Infinite (%)0.0%
Mean1.2307692
Minimum0
Maximum24
Zeros507
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size24.0 KiB
2024-03-13T23:08:29.200046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum24
Range24
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.6287235
Coefficient of variation (CV)2.1358378
Kurtosis21.163595
Mean1.2307692
Median Absolute Deviation (MAD)0
Skewness3.8830775
Sum912
Variance6.9101871
MonotonicityNot monotonic
2024-03-13T23:08:29.314455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 507
 
18.6%
2 52
 
1.9%
3 46
 
1.7%
4 43
 
1.6%
1 35
 
1.3%
5 26
 
1.0%
6 7
 
0.3%
7 6
 
0.2%
8 4
 
0.1%
10 3
 
0.1%
Other values (8) 12
 
0.4%
(Missing) 1978
72.7%
ValueCountFrequency (%)
0 507
18.6%
1 35
 
1.3%
2 52
 
1.9%
3 46
 
1.7%
4 43
 
1.6%
5 26
 
1.0%
6 7
 
0.3%
7 6
 
0.2%
8 4
 
0.1%
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
0.1%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
<NA>
2137 
0
517 
1
 
60
3
 
2
2
 
2

Length

Max length4
Median length4
Mean length3.3578522
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2137
78.6%
0 517
 
19.0%
1 60
 
2.2%
3 2
 
0.1%
2 2
 
0.1%
4 1
 
< 0.1%

Length

2024-03-13T23:08:29.426221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:29.532944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2137
78.6%
0 517
 
19.0%
1 60
 
2.2%
3 2
 
0.1%
2 2
 
0.1%
4 1
 
< 0.1%

건물용도명
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
<NA>
2366 
근린생활시설
240 
아파트
 
41
사무실
 
26
단독주택
 
24
Other values (8)
 
22

Length

Max length15
Median length4
Mean length4.1853623
Min length3

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2366
87.0%
근린생활시설 240
 
8.8%
아파트 41
 
1.5%
사무실 26
 
1.0%
단독주택 24
 
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

2024-03-13T23:08:29.652529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2366
86.8%
근린생활시설 240
 
8.8%
아파트 41
 
1.5%
사무실 26
 
1.0%
단독주택 24
 
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
 
0.1%

통로너비
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
<NA>
2200 
0
519 

Length

Max length4
Median length4
Mean length3.427363
Min length1

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> 2200
80.9%
0 519
 
19.1%

Length

2024-03-13T23:08:29.766695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:29.871423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2200
80.9%
0 519
 
19.1%

조명시설조도
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
<NA>
2200 
0
519 

Length

Max length4
Median length4
Mean length3.427363
Min length1

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> 2200
80.9%
0 519
 
19.1%

Length

2024-03-13T23:08:29.984085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:30.077285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2200
80.9%
0 519
 
19.1%

노래방실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
<NA>
2200 
0
519 

Length

Max length4
Median length4
Mean length3.427363
Min length1

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> 2200
80.9%
0 519
 
19.1%

Length

2024-03-13T23:08:30.490491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:30.580327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2200
80.9%
0 519
 
19.1%

청소년실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
<NA>
2200 
0
519 

Length

Max length4
Median length4
Mean length3.427363
Min length1

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> 2200
80.9%
0 519
 
19.1%

Length

2024-03-13T23:08:30.676463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:30.791779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2200
80.9%
0 519
 
19.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
<NA>
2200 
0
519 

Length

Max length4
Median length4
Mean length3.427363
Min length1

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> 2200
80.9%
0 519
 
19.1%

Length

2024-03-13T23:08:30.925833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:08:31.039447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2200
80.9%
0 519
 
19.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2719
Missing (%)100.0%
Memory size24.0 KiB

지역구분명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
<NA>
2487 
일반주거지역
 
107
주거지역
 
35
근린상업지역
 
25
일반상업지역
 
21
Other values (10)
 
44

Length

Max length6
Median length4
Mean length4.1346083
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2487
91.5%
일반주거지역 107
 
3.9%
주거지역 35
 
1.3%
근린상업지역 25
 
0.9%
일반상업지역 21
 
0.8%
중심상업지역 12
 
0.4%
준주거지역 11
 
0.4%
자연녹지지역 4
 
0.1%
전용주거지역 4
 
0.1%
상업지역 4
 
0.1%
Other values (5) 9
 
0.3%

Length

2024-03-13T23:08:31.176358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2487
91.5%
일반주거지역 107
 
3.9%
주거지역 35
 
1.3%
근린상업지역 25
 
0.9%
일반상업지역 21
 
0.8%
중심상업지역 12
 
0.4%
준주거지역 11
 
0.4%
자연녹지지역 4
 
0.1%
전용주거지역 4
 
0.1%
상업지역 4
 
0.1%
Other values (5) 9
 
0.3%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01출판사04_17_01_P3410000CDFG12510020180000302018-12-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 ***-*번지대구광역시 중구 남산로*길 *** (남산동)41969디더블유디기획출판사2019-04-03 14:09:00U2019-04-05 02:40:00<NA>343221.52878263697.108261출판사출판인쇄업<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>
12출판사04_17_01_P3410000CDFG12510020210000052021-01-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 공평동 **-** 우원빌딩대구광역시 중구 공평로 **, 우원빌딩 *층 (공평동)41938도서출판 지아이2022-06-07 11:35:19U2022-06-09 02:40:00<NA>344417.802132264430.537922출판사출판인쇄업<NA><NA><NA>149.7<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23출판사04_17_01_P3410000CDFG12510020200000282020-12-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대안동 **-*대구광역시 중구 종로 **, *층 (대안동)41919인디생존연구소2020-12-18 17:52:31I2020-12-20 00:23:06<NA>343578.21602264884.250185출판사출판인쇄업<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>
34출판사04_17_01_P3410000CDFG12510020210000042019-01-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 서문로*가 **-*대구광역시 중구 서성로**길 ** (서문로*가)41919그레타책방2021-01-25 14:34:42I2021-01-27 00:23:03<NA>343368.759101264738.992096출판사출판인쇄업<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>
45출판사04_17_01_P3410000CDFG12510020210000012009-04-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 ****-*대구광역시 중구 남산로*길 **-*, ***호 (남산동)41972애드가2021-01-13 14:43:24I2021-01-15 00:23:04<NA>343120.966078263093.317946출판사출판인쇄업<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>
56출판사04_17_01_P3410000CDFG12510020210000022011-02-16<NA>1영업/정상13영업중<NA><NA><NA><NA>053-746-4321<NA><NA>대구광역시 중구 봉산동 ***-** 봉산동 수필문학관대구광역시 중구 명륜로**길 *, 봉산동 수필문학관 (봉산동)41958수필세계사2021-01-13 15:37:49I2021-01-15 00:23:04<NA>344139.834362263417.195388출판사출판인쇄업<NA><NA><NA>60.02<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
67출판사04_17_01_P3410000CDFG12510020210000062021-02-03<NA>1영업/정상13영업중<NA><NA><NA><NA>053-255-9056<NA><NA>대구광역시 중구 남산동 ***-*대구광역시 중구 명륜로 * (남산동)41966세영애드2021-02-03 10:04:58I2021-02-05 00:23:13<NA>343389.270663263980.038608출판사출판인쇄업<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>
78출판사04_17_01_P3410000CDFG12510020200000272020-12-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 수동 *-*대구광역시 중구 국채보상로 *** (수동)41919대구문화예술현장실무자정책네트워크2020-12-09 11:25:09I2020-12-11 00:23:07<NA>343471.439211264558.069261출판사출판인쇄업<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>
89출판사04_17_01_P3410000CDFG12510020210000032021-01-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 ***-* 진석타워, ***호 내 ***대구광역시 중구 동덕로 ***, 진석타워, ***호 내 *** (삼덕동*가)41940책읽어주는남자2021-01-15 17:38:23I2021-01-17 00:23:04<NA>344686.259338263958.880864출판사출판인쇄업<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>
910출판사04_17_01_P3410000CDFG12510020220000152022-06-08<NA>1영업/정상13영업중<NA><NA><NA><NA>053-252-6737<NA><NA>대구광역시 중구 남산동 ***-*대구광역시 중구 남산로*길 *** (남산동)41969주)대건인쇄출판사2022-06-08 11:57:58I2022-06-10 00:22:45<NA>343221.52878263697.108261출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
27092710출판사04_17_01_P3480000CDFG12510020070000012007-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA>053-768-3900<NA>711-865대구광역시 달성군 가창면 용계리 ***대구광역시 달성군 가창면 헐티로 ****711-865교회생활사2022-11-29 17:31:33U2022-12-01 02:40:00<NA>346525.783537256475.075022출판사출판인쇄업<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>
27102711출판사04_17_01_P3480000CDFG12510020070000022007-06-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>711-832대구광역시 달성군 화원읍 명곡리 ***번지대구광역시 달성군 화원읍 명곡로 *711-832도서출판 바로선2013-11-18 16:46:44I2018-08-31 23:59:59<NA>335197.916723256463.132683출판사출판인쇄업<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>
27112712출판사04_17_01_P3480000CDFG12510020120000022012-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA>053-616-6225<NA><NA>대구광역시 달성군 현풍읍 중리 ***번지대구광역시 달성군 현풍읍 테크노공원로 **, 대구테크비즈센터 ***호43017(주)창의공간2019-10-11 10:47:02U2019-10-13 02:40:00<NA>331597.518855244377.337529출판사출판인쇄업<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>자연녹지지역
27122713출판사04_17_01_P3480000CDFG12510020120000032012-06-12<NA>1영업/정상13영업중<NA><NA><NA><NA>053-583-9386<NA>711-811대구광역시 달성군 다사읍 문산리 ***번지 **통대구광역시 달성군 다사읍 문산*길 **-*711-811장기시매쓰출판2012-06-12 14:45:40I2018-08-31 23:59:59<NA>329247.390016262648.644196출판사출판인쇄업<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>주거지역
27132714출판사04_17_01_P3480000CDFG12510020120000042012-07-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>711-787대구광역시 달성군 다사읍 매곡리 ***번지 **통다사e-편한세상 ***동 ****호대구광역시 달성군 다사읍 다사역로 **, ***동 ****호 (다사e-편한세상)711-787KHRenglish2012-07-20 15:41:02I2018-08-31 23:59:59<NA>331550.638998264131.547202출판사출판인쇄업<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>주거지역
27142715출판사04_17_01_P3480000CDFG12510020120000062012-11-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>711-796대구광역시 달성군 다사읍 죽곡리 **통죽곡청아람리슈빌*단지 ***동 ****호대구광역시 달성군 다사읍 대실역남로 **, ***동 ****호 (죽곡청아람리슈빌*단지)711-796수드림2012-11-21 10:21:18I2018-08-31 23:59:59<NA>332500.875668262575.421494출판사출판인쇄업<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>일반주거지역
27152716출판사04_17_01_P5141000CDFG12510019950000011995-07-22<NA>1영업/정상13영업중<NA><NA><NA><NA>054-382-1020<NA>716-872대구광역시 군위군 삼국유사면 인곡리 ***대구광역시 군위군 삼국유사면 인곡*길 ***<NA>동국불교출판사2007-05-30 09:34:37I2023-07-01 16:42:10<NA>365715.232036295183.160493출판사출판인쇄업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
27162717출판사04_17_01_P5141000CDFG12510020210000012021-01-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 효령면 장군리 ***-*대구광역시 군위군 효령면 장군당*길 **-*, 고지바위권역 다목적센터43133협동조합 위2021-01-20 19:08:52I2023-07-01 16:42:10<NA>341690.24793292585.288941출판사출판인쇄업0<NA><NA>13.500근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>관리지역
27172718출판사04_17_01_P5141000CDFG12510020200000012020-03-04<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8952-5375<NA><NA>대구광역시 군위군 군위읍 광현리 ***대구광역시 군위군 군위읍 장대길 **43112(주)실반트리2020-03-04 11:55:38I2023-07-01 16:42:10<NA>345567.347312307054.153888출판사출판인쇄업1<NA><NA>72.5600사무실0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
27182719출판사04_17_01_P5141000CDFG12510020170000012017-11-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 군위군 효령면 마시리 ****대구광역시 군위군 효령면 교수촌동길 **43134고원GLB2017-11-12 14:57:39I2023-07-01 16:42:10<NA>344355.568482291503.417371출판사출판인쇄업0<NA><NA>0.000단독주택0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>