Overview

Dataset statistics

Number of variables59
Number of observations2772
Missing cells75088
Missing cells (%)45.9%
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

Description24년03월_6270000_대구광역시_04_17_01_P_출판사
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106615&dataSetDetailId=DDI_0000106634&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 (50.2%)Imbalance
영업상태명 is highly imbalanced (50.2%)Imbalance
상세영업상태명 is highly imbalanced (67.0%)Imbalance
주변환경명 is highly imbalanced (92.1%)Imbalance
지하층수 is highly imbalanced (65.0%)Imbalance
건물용도명 is highly imbalanced (79.8%)Imbalance
지역구분명 is highly imbalanced (83.7%)Imbalance
인허가취소일자 has 2764 (99.7%) missing valuesMissing
폐업일자 has 2062 (74.4%) missing valuesMissing
휴업시작일자 has 2771 (> 99.9%) missing valuesMissing
휴업종료일자 has 2771 (> 99.9%) missing valuesMissing
재개업일자 has 2772 (100.0%) missing valuesMissing
소재지전화 has 1307 (47.2%) missing valuesMissing
소재지면적 has 2772 (100.0%) missing valuesMissing
소재지우편번호 has 1467 (52.9%) missing valuesMissing
도로명전체주소 has 44 (1.6%) missing valuesMissing
도로명우편번호 has 411 (14.8%) missing valuesMissing
업태구분명 has 2772 (100.0%) missing valuesMissing
좌표정보(X) has 68 (2.5%) missing valuesMissing
좌표정보(Y) has 68 (2.5%) missing valuesMissing
총층수 has 2039 (73.6%) missing valuesMissing
제작취급품목내용 has 2771 (> 99.9%) missing valuesMissing
시설면적 has 1896 (68.4%) missing valuesMissing
지상층수 has 1971 (71.1%) missing valuesMissing
비상계단여부 has 2772 (100.0%) missing valuesMissing
비상구여부 has 2772 (100.0%) missing valuesMissing
자동환기여부 has 2772 (100.0%) missing valuesMissing
청소년실여부 has 2772 (100.0%) missing valuesMissing
특수조명여부 has 2772 (100.0%) missing valuesMissing
방음시설여부 has 2772 (100.0%) missing valuesMissing
비디오재생기명 has 2772 (100.0%) missing valuesMissing
조명시설유무 has 2772 (100.0%) missing valuesMissing
음향시설여부 has 2772 (100.0%) missing valuesMissing
편의시설여부 has 2772 (100.0%) missing valuesMissing
소방시설여부 has 2772 (100.0%) missing valuesMissing
기존게임업외업종명 has 2772 (100.0%) missing valuesMissing
제공게임물명 has 2772 (100.0%) missing valuesMissing
공연장형태구분명 has 2772 (100.0%) missing valuesMissing
품목명 has 2772 (100.0%) missing valuesMissing
최초등록시점 has 2772 (100.0%) missing valuesMissing
개방자치단체코드 is highly skewed (γ1 = 20.16727005)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 566 (20.4%) zerosZeros
시설면적 has 522 (18.8%) zerosZeros
지상층수 has 565 (20.4%) zerosZeros

Reproduction

Analysis started2024-04-29 12:23:36.583111
Analysis finished2024-04-29 12:23:38.283962
Duration1.7 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2772
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1386.5
Minimum1
Maximum2772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-04-29T21:23:38.534491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile139.55
Q1693.75
median1386.5
Q32079.25
95-th percentile2633.45
Maximum2772
Range2771
Interquartile range (IQR)1385.5

Descriptive statistics

Standard deviation800.3518
Coefficient of variation (CV)0.57724616
Kurtosis-1.2
Mean1386.5
Median Absolute Deviation (MAD)693
Skewness0
Sum3843378
Variance640563
MonotonicityStrictly increasing
2024-04-29T21:23:38.668852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1854 1
 
< 0.1%
1846 1
 
< 0.1%
1847 1
 
< 0.1%
1848 1
 
< 0.1%
1849 1
 
< 0.1%
1850 1
 
< 0.1%
1851 1
 
< 0.1%
1852 1
 
< 0.1%
1853 1
 
< 0.1%
Other values (2762) 2762
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 (%)
2772 1
< 0.1%
2771 1
< 0.1%
2770 1
< 0.1%
2769 1
< 0.1%
2768 1
< 0.1%
2767 1
< 0.1%
2766 1
< 0.1%
2765 1
< 0.1%
2764 1
< 0.1%
2763 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
출판사
2772 

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 2772
100.0%

Length

2024-04-29T21:23:38.792496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:38.885441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2772
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
04_17_01_P
2772 

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 2772
100.0%

Length

2024-04-29T21:23:38.982790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:39.071431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04_17_01_p 2772
100.0%

개방자치단체코드
Real number (ℝ)

SKEWED 

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443952
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-04-29T21:23:39.156311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3470000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation75902.392
Coefficient of variation (CV)0.022039329
Kurtosis448.89772
Mean3443952
Median Absolute Deviation (MAD)20000
Skewness20.16727
Sum9.546635 × 109
Variance5.7611731 × 109
MonotonicityIncreasing
2024-04-29T21:23:39.263955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3410000 688
24.8%
3460000 614
22.2%
3470000 383
13.8%
3420000 332
12.0%
3450000 299
10.8%
3440000 253
 
9.1%
3430000 99
 
3.6%
3480000 99
 
3.6%
5141000 5
 
0.2%
ValueCountFrequency (%)
3410000 688
24.8%
3420000 332
12.0%
3430000 99
 
3.6%
3440000 253
 
9.1%
3450000 299
10.8%
3460000 614
22.2%
3470000 383
13.8%
3480000 99
 
3.6%
5141000 5
 
0.2%
ValueCountFrequency (%)
5141000 5
 
0.2%
3480000 99
 
3.6%
3470000 383
13.8%
3460000 614
22.2%
3450000 299
10.8%
3440000 253
 
9.1%
3430000 99
 
3.6%
3420000 332
12.0%
3410000 688
24.8%
Distinct919
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
2024-04-29T21:23:39.452276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters55440
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

Unique344 ?
Unique (%)12.4%

Sample

1st rowCDFG1251002012000011
2nd rowCDFG1251002015000019
3rd rowCDFG1251002015000020
4th rowCDFG1251002016000002
5th rowCDFG1251002015000014
ValueCountFrequency (%)
cdfg1251002024000001 9
 
0.3%
cdfg1251002020000001 9
 
0.3%
cdfg1251002021000009 8
 
0.3%
cdfg1251002021000005 8
 
0.3%
cdfg1251002020000003 8
 
0.3%
cdfg1251002022000008 8
 
0.3%
cdfg1251002019000006 8
 
0.3%
cdfg1251002009000001 8
 
0.3%
cdfg1251002023000003 8
 
0.3%
cdfg1251002023000010 8
 
0.3%
Other values (909) 2690
97.0%
2024-04-29T21:23:39.819709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21472
38.7%
1 8618
15.5%
2 7278
 
13.1%
5 3279
 
5.9%
C 2772
 
5.0%
D 2772
 
5.0%
F 2772
 
5.0%
G 2772
 
5.0%
9 907
 
1.6%
3 853
 
1.5%
Other values (4) 1945
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44352
80.0%
Uppercase Letter 11088
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21472
48.4%
1 8618
19.4%
2 7278
 
16.4%
5 3279
 
7.4%
9 907
 
2.0%
3 853
 
1.9%
4 563
 
1.3%
6 473
 
1.1%
8 466
 
1.1%
7 443
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 2772
25.0%
D 2772
25.0%
F 2772
25.0%
G 2772
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44352
80.0%
Latin 11088
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21472
48.4%
1 8618
19.4%
2 7278
 
16.4%
5 3279
 
7.4%
9 907
 
2.0%
3 853
 
1.9%
4 563
 
1.3%
6 473
 
1.1%
8 466
 
1.1%
7 443
 
1.0%
Latin
ValueCountFrequency (%)
C 2772
25.0%
D 2772
25.0%
F 2772
25.0%
G 2772
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 55440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21472
38.7%
1 8618
15.5%
2 7278
 
13.1%
5 3279
 
5.9%
C 2772
 
5.0%
D 2772
 
5.0%
F 2772
 
5.0%
G 2772
 
5.0%
9 907
 
1.6%
3 853
 
1.5%
Other values (4) 1945
 
3.5%
Distinct2195
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
Minimum1964-10-12 00:00:00
Maximum2024-03-29 00:00:00
2024-04-29T21:23:39.968572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:23:40.107711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing2764
Missing (%)99.7%
Memory size21.8 KiB
Minimum2009-11-03 00:00:00
Maximum2022-11-03 00:00:00
2024-04-29T21:23:40.239602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:23:40.357492image/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 size21.8 KiB
1
2028 
3
642 
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 2028
73.2%
3 642
 
23.2%
4 101
 
3.6%
2 1
 
< 0.1%

Length

2024-04-29T21:23:40.457054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:40.546431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2028
73.2%
3 642
 
23.2%
4 101
 
3.6%
2 1
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
영업/정상
2028 
폐업
642 
취소/말소/만료/정지/중지
 
101
휴업
 
1

Length

Max length14
Median length5
Mean length4.6320346
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 2028
73.2%
폐업 642
 
23.2%
취소/말소/만료/정지/중지 101
 
3.6%
휴업 1
 
< 0.1%

Length

2024-04-29T21:23:40.651460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:40.747788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2028
73.2%
폐업 642
 
23.2%
취소/말소/만료/정지/중지 101
 
3.6%
휴업 1
 
< 0.1%

상세영업상태코드
Real number (ℝ)

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.448773
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-04-29T21:23:40.847859image/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 deviation6.0679339
Coefficient of variation (CV)0.53000733
Kurtosis4.9535757
Mean11.448773
Median Absolute Deviation (MAD)0
Skewness1.2663645
Sum31736
Variance36.819822
MonotonicityNot monotonic
2024-04-29T21:23:40.946290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13 2027
73.1%
3 641
 
23.1%
35 73
 
2.6%
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%
3 641
 
23.1%
13 2027
73.1%
14 1
 
< 0.1%
30 19
 
0.7%
31 1
 
< 0.1%
32 8
 
0.3%
34 1
 
< 0.1%
35 73
 
2.6%
ValueCountFrequency (%)
35 73
 
2.6%
34 1
 
< 0.1%
32 8
 
0.3%
31 1
 
< 0.1%
30 19
 
0.7%
14 1
 
< 0.1%
13 2027
73.1%
3 641
 
23.1%
2 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
영업중
2027 
폐업
641 
직권말소
 
73
허가취소
 
19
신고취소
 
8
Other values (4)
 
4

Length

Max length5
Median length3
Mean length2.8051948
Min length2

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 2027
73.1%
폐업 641
 
23.1%
직권말소 73
 
2.6%
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

2024-04-29T21:23:41.103261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:41.216341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 2027
73.1%
폐업 641
 
23.1%
직권말소 73
 
2.6%
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 

Distinct572
Distinct (%)80.6%
Missing2062
Missing (%)74.4%
Memory size21.8 KiB
Minimum1998-12-23 00:00:00
Maximum2024-03-25 00:00:00
2024-04-29T21:23:41.347258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:23:41.491951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2771
Missing (%)> 99.9%
Memory size21.8 KiB
Minimum2020-04-01 00:00:00
Maximum2020-04-01 00:00:00
2024-04-29T21:23:41.621747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:23:41.703862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2771
Missing (%)> 99.9%
Memory size21.8 KiB
Minimum2020-09-30 00:00:00
Maximum2020-09-30 00:00:00
2024-04-29T21:23:41.788846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:23:41.873327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

소재지전화
Text

MISSING 

Distinct1405
Distinct (%)95.9%
Missing1307
Missing (%)47.2%
Memory size21.8 KiB
2024-04-29T21:23:42.056883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.597952
Min length6

Characters and Unicode

Total characters15526
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

Unique1362 ?
Unique (%)93.0%

Sample

1st row253-3221
2nd row053-246-5478
3rd row053-425-1476
4th row070-8182-2709
5th row070-4100-9328
ValueCountFrequency (%)
000-0000 14
 
1.0%
952-5252 4
 
0.3%
053-246-9344 3
 
0.2%
053-794-7022 3
 
0.2%
053-961-6126 3
 
0.2%
070-4220-8473 2
 
0.1%
053-214-4365 2
 
0.1%
1800-6505 2
 
0.1%
000000 2
 
0.1%
053-291-8773 2
 
0.1%
Other values (1395) 1428
97.5%
2024-04-29T21:23:42.401560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2227
14.3%
5 2203
14.2%
0 2121
13.7%
3 1751
11.3%
2 1482
9.5%
7 1125
7.2%
4 1100
7.1%
6 1028
6.6%
1 920
5.9%
8 782
 
5.0%
Other values (5) 787
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13248
85.3%
Dash Punctuation 2227
 
14.3%
Close Punctuation 23
 
0.1%
Open Punctuation 13
 
0.1%
Other Punctuation 10
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2203
16.6%
0 2121
16.0%
3 1751
13.2%
2 1482
11.2%
7 1125
8.5%
4 1100
8.3%
6 1028
7.8%
1 920
6.9%
8 782
 
5.9%
9 736
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 2227
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15526
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2227
14.3%
5 2203
14.2%
0 2121
13.7%
3 1751
11.3%
2 1482
9.5%
7 1125
7.2%
4 1100
7.1%
6 1028
6.6%
1 920
5.9%
8 782
 
5.0%
Other values (5) 787
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15526
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2227
14.3%
5 2203
14.2%
0 2121
13.7%
3 1751
11.3%
2 1482
9.5%
7 1125
7.2%
4 1100
7.1%
6 1028
6.6%
1 920
5.9%
8 782
 
5.0%
Other values (5) 787
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

소재지우편번호
Text

MISSING 

Distinct507
Distinct (%)38.9%
Missing1467
Missing (%)52.9%
Memory size21.8 KiB
2024-04-29T21:23:42.674221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters9135
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 (%)20.3%

Sample

1st row700-831
2nd row700-442
3rd row700-809
4th row700-413
5th row700-804
ValueCountFrequency (%)
700-440 91
 
7.0%
700-823 35
 
2.7%
700-803 29
 
2.2%
700-831 25
 
1.9%
700-802 14
 
1.1%
700-413 14
 
1.1%
700-813 12
 
0.9%
706-822 11
 
0.8%
700-821 11
 
0.8%
700-421 9
 
0.7%
Other values (497) 1054
80.8%
2024-04-29T21:23:43.054712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2309
25.3%
7 1575
17.2%
- 1305
14.3%
8 853
 
9.3%
4 611
 
6.7%
1 571
 
6.3%
2 548
 
6.0%
3 448
 
4.9%
6 436
 
4.8%
5 281
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7830
85.7%
Dash Punctuation 1305
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2309
29.5%
7 1575
20.1%
8 853
 
10.9%
4 611
 
7.8%
1 571
 
7.3%
2 548
 
7.0%
3 448
 
5.7%
6 436
 
5.6%
5 281
 
3.6%
9 198
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 1305
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9135
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2309
25.3%
7 1575
17.2%
- 1305
14.3%
8 853
 
9.3%
4 611
 
6.7%
1 571
 
6.3%
2 548
 
6.0%
3 448
 
4.9%
6 436
 
4.8%
5 281
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9135
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2309
25.3%
7 1575
17.2%
- 1305
14.3%
8 853
 
9.3%
4 611
 
6.7%
1 571
 
6.3%
2 548
 
6.0%
3 448
 
4.9%
6 436
 
4.8%
5 281
 
3.1%
Distinct1554
Distinct (%)56.3%
Missing10
Missing (%)0.4%
Memory size21.8 KiB
2024-04-29T21:23:43.383917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length25.109703
Min length13

Characters and Unicode

Total characters69353
Distinct characters390
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

Unique1182 ?
Unique (%)42.8%

Sample

1st row대구광역시 중구 남산동 ***-*번지
2nd row대구광역시 중구 남산동 ***-**번지
3rd row대구광역시 중구 남산동 ***-*번지
4th row대구광역시 중구 북성로*가 **번지
5th row대구광역시 중구 대봉동 **-**번지
ValueCountFrequency (%)
대구광역시 2762
20.9%
번지 1794
 
13.5%
955
 
7.2%
중구 688
 
5.2%
수성구 612
 
4.6%
475
 
3.6%
달서구 382
 
2.9%
동구 332
 
2.5%
북구 299
 
2.3%
남산동 298
 
2.2%
Other values (969) 4648
35.1%
2024-04-29T21:23:43.808772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 14539
21.0%
12799
18.5%
5532
 
8.0%
3445
 
5.0%
3225
 
4.7%
2825
 
4.1%
2786
 
4.0%
2772
 
4.0%
- 2102
 
3.0%
2012
 
2.9%
Other values (380) 17316
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39681
57.2%
Other Punctuation 14560
 
21.0%
Space Separator 12799
 
18.5%
Dash Punctuation 2102
 
3.0%
Uppercase Letter 110
 
0.2%
Close Punctuation 38
 
0.1%
Open Punctuation 38
 
0.1%
Lowercase Letter 24
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5532
13.9%
3445
 
8.7%
3225
 
8.1%
2825
 
7.1%
2786
 
7.0%
2772
 
7.0%
2012
 
5.1%
1794
 
4.5%
1067
 
2.7%
751
 
1.9%
Other values (344) 13472
34.0%
Uppercase Letter
ValueCountFrequency (%)
A 13
11.8%
B 13
11.8%
S 9
 
8.2%
I 9
 
8.2%
L 8
 
7.3%
C 8
 
7.3%
K 7
 
6.4%
H 7
 
6.4%
E 6
 
5.5%
W 6
 
5.5%
Other values (10) 24
21.8%
Lowercase Letter
ValueCountFrequency (%)
e 18
75.0%
a 2
 
8.3%
r 1
 
4.2%
k 1
 
4.2%
c 1
 
4.2%
p 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
* 14539
99.9%
, 12
 
0.1%
/ 5
 
< 0.1%
. 3
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
12799
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39681
57.2%
Common 29538
42.6%
Latin 134
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5532
13.9%
3445
 
8.7%
3225
 
8.1%
2825
 
7.1%
2786
 
7.0%
2772
 
7.0%
2012
 
5.1%
1794
 
4.5%
1067
 
2.7%
751
 
1.9%
Other values (344) 13472
34.0%
Latin
ValueCountFrequency (%)
e 18
13.4%
A 13
 
9.7%
B 13
 
9.7%
S 9
 
6.7%
I 9
 
6.7%
L 8
 
6.0%
C 8
 
6.0%
K 7
 
5.2%
H 7
 
5.2%
E 6
 
4.5%
Other values (16) 36
26.9%
Common
ValueCountFrequency (%)
* 14539
49.2%
12799
43.3%
- 2102
 
7.1%
) 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 39681
57.2%
ASCII 29672
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 14539
49.0%
12799
43.1%
- 2102
 
7.1%
) 38
 
0.1%
( 38
 
0.1%
e 18
 
0.1%
A 13
 
< 0.1%
B 13
 
< 0.1%
, 12
 
< 0.1%
S 9
 
< 0.1%
Other values (26) 91
 
0.3%
Hangul
ValueCountFrequency (%)
5532
13.9%
3445
 
8.7%
3225
 
8.1%
2825
 
7.1%
2786
 
7.0%
2772
 
7.0%
2012
 
5.1%
1794
 
4.5%
1067
 
2.7%
751
 
1.9%
Other values (344) 13472
34.0%

도로명전체주소
Text

MISSING 

Distinct2126
Distinct (%)77.9%
Missing44
Missing (%)1.6%
Memory size21.8 KiB
2024-04-29T21:23:44.071743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length52
Mean length31.58761
Min length19

Characters and Unicode

Total characters86171
Distinct characters432
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

Unique1805 ?
Unique (%)66.2%

Sample

1st row대구광역시 중구 명륜로 **-* (남산동)
2nd row대구광역시 중구 명륜로**길 ** (남산동)
3rd row대구광역시 중구 명륜로**길 ** (남산동)
4th row대구광역시 중구 태평로 ***-* (북성로*가)
5th row대구광역시 중구 달구벌대로***길 **-** (대봉동)
ValueCountFrequency (%)
2740
 
16.2%
대구광역시 2728
 
16.2%
980
 
5.8%
중구 667
 
4.0%
수성구 613
 
3.6%
570
 
3.4%
494
 
2.9%
달서구 382
 
2.3%
동구 331
 
2.0%
남산동 289
 
1.7%
Other values (1590) 7089
42.0%
2024-04-29T21:23:44.519062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 15296
17.8%
14413
16.7%
5775
 
6.7%
4049
 
4.7%
3748
 
4.3%
2813
 
3.3%
2771
 
3.2%
2738
 
3.2%
) 2692
 
3.1%
( 2692
 
3.1%
Other values (422) 29184
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48106
55.8%
Other Punctuation 17496
 
20.3%
Space Separator 14413
 
16.7%
Close Punctuation 2692
 
3.1%
Open Punctuation 2692
 
3.1%
Dash Punctuation 605
 
0.7%
Uppercase Letter 136
 
0.2%
Lowercase Letter 28
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5775
 
12.0%
4049
 
8.4%
3748
 
7.8%
2813
 
5.8%
2771
 
5.8%
2738
 
5.7%
2599
 
5.4%
1318
 
2.7%
1258
 
2.6%
1134
 
2.4%
Other values (384) 19903
41.4%
Uppercase Letter
ValueCountFrequency (%)
B 18
13.2%
A 17
12.5%
I 12
 
8.8%
C 11
 
8.1%
S 10
 
7.4%
T 9
 
6.6%
H 8
 
5.9%
L 8
 
5.9%
D 6
 
4.4%
E 6
 
4.4%
Other values (11) 31
22.8%
Other Punctuation
ValueCountFrequency (%)
* 15296
87.4%
, 2186
 
12.5%
· 6
 
< 0.1%
/ 3
 
< 0.1%
. 3
 
< 0.1%
& 2
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 19
67.9%
a 3
 
10.7%
k 2
 
7.1%
r 2
 
7.1%
c 1
 
3.6%
p 1
 
3.6%
Space Separator
ValueCountFrequency (%)
14413
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2692
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2692
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 605
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48106
55.8%
Common 37901
44.0%
Latin 164
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5775
 
12.0%
4049
 
8.4%
3748
 
7.8%
2813
 
5.8%
2771
 
5.8%
2738
 
5.7%
2599
 
5.4%
1318
 
2.7%
1258
 
2.6%
1134
 
2.4%
Other values (384) 19903
41.4%
Latin
ValueCountFrequency (%)
e 19
11.6%
B 18
 
11.0%
A 17
 
10.4%
I 12
 
7.3%
C 11
 
6.7%
S 10
 
6.1%
T 9
 
5.5%
H 8
 
4.9%
L 8
 
4.9%
D 6
 
3.7%
Other values (17) 46
28.0%
Common
ValueCountFrequency (%)
* 15296
40.4%
14413
38.0%
) 2692
 
7.1%
( 2692
 
7.1%
, 2186
 
5.8%
- 605
 
1.6%
· 6
 
< 0.1%
/ 3
 
< 0.1%
. 3
 
< 0.1%
~ 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48106
55.8%
ASCII 38059
44.2%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 15296
40.2%
14413
37.9%
) 2692
 
7.1%
( 2692
 
7.1%
, 2186
 
5.7%
- 605
 
1.6%
e 19
 
< 0.1%
B 18
 
< 0.1%
A 17
 
< 0.1%
I 12
 
< 0.1%
Other values (27) 109
 
0.3%
Hangul
ValueCountFrequency (%)
5775
 
12.0%
4049
 
8.4%
3748
 
7.8%
2813
 
5.8%
2771
 
5.8%
2738
 
5.7%
2599
 
5.4%
1318
 
2.7%
1258
 
2.6%
1134
 
2.4%
Other values (384) 19903
41.4%
None
ValueCountFrequency (%)
· 6
100.0%

도로명우편번호
Text

MISSING 

Distinct1131
Distinct (%)47.9%
Missing411
Missing (%)14.8%
Memory size21.8 KiB
2024-04-29T21:23:44.825475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.7632359
Min length5

Characters and Unicode

Total characters13607
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

Unique656 ?
Unique (%)27.8%

Sample

1st row700-831
2nd row700-442
3rd row41957
4th row41917
5th row700-809
ValueCountFrequency (%)
700-831 58
 
2.5%
700-823 35
 
1.5%
700-802 27
 
1.1%
41965 24
 
1.0%
42699 22
 
0.9%
41966 16
 
0.7%
41260 16
 
0.7%
700-832 14
 
0.6%
41969 13
 
0.6%
41958 13
 
0.6%
Other values (1121) 2123
89.9%
2024-04-29T21:23:45.248198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 2250
16.5%
0 2080
15.3%
1 1640
12.1%
2 1565
11.5%
7 1499
11.0%
8 932
6.8%
- 901
6.6%
9 747
 
5.5%
6 711
 
5.2%
3 670
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12706
93.4%
Dash Punctuation 901
 
6.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 2250
17.7%
0 2080
16.4%
1 1640
12.9%
2 1565
12.3%
7 1499
11.8%
8 932
7.3%
9 747
 
5.9%
6 711
 
5.6%
3 670
 
5.3%
5 612
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 901
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13607
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 2250
16.5%
0 2080
15.3%
1 1640
12.1%
2 1565
11.5%
7 1499
11.0%
8 932
6.8%
- 901
6.6%
9 747
 
5.5%
6 711
 
5.2%
3 670
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13607
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 2250
16.5%
0 2080
15.3%
1 1640
12.1%
2 1565
11.5%
7 1499
11.0%
8 932
6.8%
- 901
6.6%
9 747
 
5.5%
6 711
 
5.2%
3 670
 
4.9%
Distinct2684
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
2024-04-29T21:23:45.538534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length6.6890332
Min length1

Characters and Unicode

Total characters18542
Distinct characters795
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

Unique2601 ?
Unique (%)93.8%

Sample

1st row문화인쇄
2nd row한국C&D
3rd row중앙인쇄기획
4th row더폴락
5th row컴퍼스
ValueCountFrequency (%)
도서출판 249
 
6.7%
주식회사 124
 
3.3%
출판사 52
 
1.4%
디자인 23
 
0.6%
사단법인 13
 
0.3%
출판 12
 
0.3%
press 9
 
0.2%
books 8
 
0.2%
미디어 7
 
0.2%
7
 
0.2%
Other values (2965) 3237
86.5%
2024-04-29T21:23:45.952709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
969
 
5.2%
650
 
3.5%
636
 
3.4%
635
 
3.4%
385
 
2.1%
382
 
2.1%
362
 
2.0%
) 348
 
1.9%
346
 
1.9%
( 345
 
1.9%
Other values (785) 13484
72.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15011
81.0%
Space Separator 969
 
5.2%
Lowercase Letter 898
 
4.8%
Uppercase Letter 811
 
4.4%
Close Punctuation 348
 
1.9%
Open Punctuation 345
 
1.9%
Decimal Number 81
 
0.4%
Other Punctuation 68
 
0.4%
Dash Punctuation 7
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
650
 
4.3%
636
 
4.2%
635
 
4.2%
385
 
2.6%
382
 
2.5%
362
 
2.4%
346
 
2.3%
343
 
2.3%
343
 
2.3%
217
 
1.4%
Other values (711) 10712
71.4%
Uppercase Letter
ValueCountFrequency (%)
S 68
 
8.4%
A 58
 
7.2%
O 57
 
7.0%
M 52
 
6.4%
E 51
 
6.3%
C 46
 
5.7%
I 42
 
5.2%
B 42
 
5.2%
T 41
 
5.1%
L 41
 
5.1%
Other values (15) 313
38.6%
Lowercase Letter
ValueCountFrequency (%)
o 101
11.2%
e 93
10.4%
s 74
 
8.2%
i 70
 
7.8%
a 70
 
7.8%
n 68
 
7.6%
t 57
 
6.3%
r 54
 
6.0%
l 49
 
5.5%
u 36
 
4.0%
Other values (13) 226
25.2%
Decimal Number
ValueCountFrequency (%)
1 20
24.7%
2 14
17.3%
3 13
16.0%
5 9
11.1%
0 8
 
9.9%
8 6
 
7.4%
9 6
 
7.4%
4 2
 
2.5%
7 2
 
2.5%
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 (%)
969
100.0%
Close Punctuation
ValueCountFrequency (%)
) 348
100.0%
Open Punctuation
ValueCountFrequency (%)
( 345
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14980
80.8%
Common 1822
 
9.8%
Latin 1709
 
9.2%
Han 31
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
650
 
4.3%
636
 
4.2%
635
 
4.2%
385
 
2.6%
382
 
2.6%
362
 
2.4%
346
 
2.3%
343
 
2.3%
343
 
2.3%
217
 
1.4%
Other values (686) 10681
71.3%
Latin
ValueCountFrequency (%)
o 101
 
5.9%
e 93
 
5.4%
s 74
 
4.3%
i 70
 
4.1%
a 70
 
4.1%
n 68
 
4.0%
S 68
 
4.0%
A 58
 
3.4%
t 57
 
3.3%
O 57
 
3.3%
Other values (38) 993
58.1%
Common
ValueCountFrequency (%)
969
53.2%
) 348
 
19.1%
( 345
 
18.9%
. 33
 
1.8%
1 20
 
1.1%
& 18
 
1.0%
2 14
 
0.8%
3 13
 
0.7%
5 9
 
0.5%
0 8
 
0.4%
Other values (16) 45
 
2.5%
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 14977
80.8%
ASCII 3529
 
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 (%)
969
27.5%
) 348
 
9.9%
( 345
 
9.8%
o 101
 
2.9%
e 93
 
2.6%
s 74
 
2.1%
i 70
 
2.0%
a 70
 
2.0%
n 68
 
1.9%
S 68
 
1.9%
Other values (63) 1323
37.5%
Hangul
ValueCountFrequency (%)
650
 
4.3%
636
 
4.2%
635
 
4.2%
385
 
2.6%
382
 
2.6%
362
 
2.4%
346
 
2.3%
343
 
2.3%
343
 
2.3%
217
 
1.4%
Other values (683) 10678
71.3%
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%
None
ValueCountFrequency (%)
· 2
100.0%
Compat Jamo
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

최종수정시점
Date

UNIQUE 

Distinct2772
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
Minimum2002-12-09 14:41:12
Maximum2024-03-29 09:16:36
2024-04-29T21:23:46.077655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:23:46.199513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
I
2244 
U
528 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2244
81.0%
U 528
 
19.0%

Length

2024-04-29T21:23:46.318896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:46.404381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2244
81.0%
u 528
 
19.0%
Distinct953
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
Minimum2018-08-31 23:59:59
Maximum2024-03-31 00:15:17
2024-04-29T21:23:46.775672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:23:46.919540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2142
Distinct (%)79.2%
Missing68
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean344050.36
Minimum327220.13
Maximum365715.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-04-29T21:23:47.045828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327220.13
5-th percentile335707.74
Q1341915.63
median344075.73
Q3346675.7
95-th percentile353465.1
Maximum365715.23
Range38495.101
Interquartile range (IQR)4760.0748

Descriptive statistics

Standard deviation4750.9862
Coefficient of variation (CV)0.013808985
Kurtosis1.206043
Mean344050.36
Median Absolute Deviation (MAD)2510.3433
Skewness-0.10841672
Sum9.3031217 × 108
Variance22571870
MonotonicityNot monotonic
2024-04-29T21:23:47.174315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342632.844134809 16
 
0.6%
346942.691096638 9
 
0.3%
345299.742438478 8
 
0.3%
337648.965009121 8
 
0.3%
346674.97751655 7
 
0.3%
343232.770826323 6
 
0.2%
343201.760779929 6
 
0.2%
338899.41279497 6
 
0.2%
344686.25933796 6
 
0.2%
341316.891342365 5
 
0.2%
Other values (2132) 2627
94.8%
(Missing) 68
 
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%
358228.205268963 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%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2142
Distinct (%)79.2%
Missing68
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean263316.3
Minimum239218.02
Maximum307054.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-04-29T21:23:47.307624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239218.02
5-th percentile258392.81
Q1261699.77
median263478.68
Q3264683.83
95-th percentile269870.46
Maximum307054.15
Range67836.133
Interquartile range (IQR)2984.0529

Descriptive statistics

Standard deviation4024.557
Coefficient of variation (CV)0.015284117
Kurtosis15.765394
Mean263316.3
Median Absolute Deviation (MAD)1390.745
Skewness0.068228231
Sum7.1200727 × 108
Variance16197059
MonotonicityNot monotonic
2024-04-29T21:23:47.438495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262643.90217311 16
 
0.6%
263989.847736771 9
 
0.3%
266806.443246079 8
 
0.3%
261472.280465309 8
 
0.3%
264766.863984298 7
 
0.3%
264151.658395369 6
 
0.2%
263954.780466089 6
 
0.2%
257234.537084558 6
 
0.2%
263958.880864104 6
 
0.2%
263332.034502933 5
 
0.2%
Other values (2132) 2627
94.8%
(Missing) 68
 
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 2
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%
294125.145194758 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%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
출판사
2772 

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 2772
100.0%

Length

2024-04-29T21:23:47.576675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:47.661452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2772
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
출판인쇄업
2772 

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 2772
100.0%

Length

2024-04-29T21:23:47.754095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:47.844235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 2772
100.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)1.9%
Missing2039
Missing (%)73.6%
Infinite0
Infinite (%)0.0%
Mean0.97544338
Minimum0
Maximum21
Zeros566
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-04-29T21:23:47.926997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2.3889425
Coefficient of variation (CV)2.4490837
Kurtosis22.298728
Mean0.97544338
Median Absolute Deviation (MAD)0
Skewness3.9699488
Sum715
Variance5.7070464
MonotonicityNot monotonic
2024-04-29T21:23:48.036202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 566
 
20.4%
4 31
 
1.1%
3 27
 
1.0%
2 27
 
1.0%
5 26
 
0.9%
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) 2039
73.6%
ValueCountFrequency (%)
0 566
20.4%
1 22
 
0.8%
2 27
 
1.0%
3 27
 
1.0%
4 31
 
1.1%
5 26
 
0.9%
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
0.9%
4 31
1.1%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
<NA>
2706 
기타
 
33
아파트지역
 
15
주택가주변
 
13
학교정화(절대)
 
3

Length

Max length8
Median length4
Mean length3.9935065
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> 2706
97.6%
기타 33
 
1.2%
아파트지역 15
 
0.5%
주택가주변 13
 
0.5%
학교정화(절대) 3
 
0.1%
학교정화(상대) 2
 
0.1%

Length

2024-04-29T21:23:48.162392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:48.270290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2706
97.6%
기타 33
 
1.2%
아파트지역 15
 
0.5%
주택가주변 13
 
0.5%
학교정화(절대 3
 
0.1%
학교정화(상대 2
 
0.1%

제작취급품목내용
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2771
Missing (%)> 99.9%
Memory size21.8 KiB
2024-04-29T21:23:48.396621image/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%
2024-04-29T21:23:48.654753image/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 

Distinct314
Distinct (%)35.8%
Missing1896
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean62.965263
Minimum0
Maximum1835.29
Zeros522
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-04-29T21:23:48.790120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q377.935
95-th percentile283.2225
Maximum1835.29
Range1835.29
Interquartile range (IQR)77.935

Descriptive statistics

Standard deviation143.10608
Coefficient of variation (CV)2.2727783
Kurtosis38.139908
Mean62.965263
Median Absolute Deviation (MAD)0
Skewness4.9680821
Sum55157.57
Variance20479.351
MonotonicityNot monotonic
2024-04-29T21:23:48.931013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 522
 
18.8%
33.0 7
 
0.3%
66.0 4
 
0.1%
84.99 3
 
0.1%
42.0 3
 
0.1%
30.0 3
 
0.1%
115.0 3
 
0.1%
84.0 2
 
0.1%
51.66 2
 
0.1%
3.0 2
 
0.1%
Other values (304) 325
 
11.7%
(Missing) 1896
68.4%
ValueCountFrequency (%)
0.0 522
18.8%
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%
9.9 1
 
< 0.1%
10.0 1
 
< 0.1%
13.5 1
 
< 0.1%
ValueCountFrequency (%)
1835.29 1
< 0.1%
1039.13 1
< 0.1%
989.93 1
< 0.1%
982.77 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%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)2.2%
Missing1971
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean1.1473159
Minimum0
Maximum24
Zeros565
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-04-29T21:23:49.047055image/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 deviation2.5511313
Coefficient of variation (CV)2.2235649
Kurtosis22.711603
Mean1.1473159
Median Absolute Deviation (MAD)0
Skewness4.0211325
Sum919
Variance6.5082709
MonotonicityNot monotonic
2024-04-29T21:23:49.164984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 565
 
20.4%
2 52
 
1.9%
3 47
 
1.7%
4 44
 
1.6%
1 35
 
1.3%
5 26
 
0.9%
6 7
 
0.3%
7 6
 
0.2%
8 4
 
0.1%
15 3
 
0.1%
Other values (8) 12
 
0.4%
(Missing) 1971
71.1%
ValueCountFrequency (%)
0 565
20.4%
1 35
 
1.3%
2 52
 
1.9%
3 47
 
1.7%
4 44
 
1.6%
5 26
 
0.9%
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 size21.8 KiB
<NA>
2130 
0
576 
1
 
60
2
 
3
3
 
2

Length

Max length4
Median length4
Mean length3.3051948
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> 2130
76.8%
0 576
 
20.8%
1 60
 
2.2%
2 3
 
0.1%
3 2
 
0.1%
4 1
 
< 0.1%

Length

2024-04-29T21:23:49.295798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:49.397308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2130
76.8%
0 576
 
20.8%
1 60
 
2.2%
2 3
 
0.1%
3 2
 
0.1%
4 1
 
< 0.1%

건물용도명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
<NA>
2417 
근린생활시설
 
241
아파트
 
41
사무실
 
26
단독주택
 
24
Other values (9)
 
23

Length

Max length15
Median length4
Mean length4.1818182
Min length2

Unique

Unique5 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2417
87.2%
근린생활시설 241
 
8.7%
아파트 41
 
1.5%
사무실 26
 
0.9%
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 (4) 4
 
0.1%

Length

2024-04-29T21:23:49.510275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2417
87.0%
근린생활시설 241
 
8.7%
아파트 41
 
1.5%
사무실 26
 
0.9%
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 (5) 5
 
0.2%

통로너비
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
<NA>
2192 
0
580 

Length

Max length4
Median length4
Mean length3.3722944
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> 2192
79.1%
0 580
 
20.9%

Length

2024-04-29T21:23:49.632508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:49.726168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2192
79.1%
0 580
 
20.9%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
<NA>
2192 
0
580 

Length

Max length4
Median length4
Mean length3.3722944
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> 2192
79.1%
0 580
 
20.9%

Length

2024-04-29T21:23:49.831756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:49.924700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2192
79.1%
0 580
 
20.9%

노래방실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
<NA>
2192 
0
580 

Length

Max length4
Median length4
Mean length3.3722944
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> 2192
79.1%
0 580
 
20.9%

Length

2024-04-29T21:23:50.022582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:50.116051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2192
79.1%
0 580
 
20.9%

청소년실수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
<NA>
2192 
0
580 

Length

Max length4
Median length4
Mean length3.3722944
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> 2192
79.1%
0 580
 
20.9%

Length

2024-04-29T21:23:50.214605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:50.316596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2192
79.1%
0 580
 
20.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
<NA>
2192 
0
580 

Length

Max length4
Median length4
Mean length3.3722944
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> 2192
79.1%
0 580
 
20.9%

Length

2024-04-29T21:23:50.429919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:23:50.530045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2192
79.1%
0 580
 
20.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2772
Missing (%)100.0%
Memory size24.5 KiB

지역구분명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
<NA>
2539 
일반주거지역
 
107
주거지역
 
35
근린상업지역
 
25
일반상업지역
 
21
Other values (10)
 
45

Length

Max length6
Median length4
Mean length4.1320346
Min length4

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> 2539
91.6%
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) 10
 
0.4%

Length

2024-04-29T21:23:50.634849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2539
91.6%
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) 10
 
0.4%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01출판사04_17_01_P3410000CDFG12510020120000112012-02-17<NA>1영업/정상13영업중<NA><NA><NA><NA>253-3221<NA>700-831대구광역시 중구 남산동 ***-*번지대구광역시 중구 명륜로 **-* (남산동)700-831문화인쇄2012-02-20 09:09:10I2018-08-31 23:59:59<NA>343371.25995263956.948486출판사출판인쇄업<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_P3410000CDFG12510020150000192015-06-11<NA>1영업/정상13영업중<NA><NA><NA><NA>053-246-5478<NA>700-442대구광역시 중구 남산동 ***-**번지대구광역시 중구 명륜로**길 ** (남산동)700-442한국C&D2019-03-29 15:15:13U2019-03-31 02:40:00<NA>343346.758597263718.497072출판사출판인쇄업<NA><NA><NA>77.7<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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