Overview

Dataset statistics

Number of variables56
Number of observations2629
Missing cells65387
Missing cells (%)44.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory483.1 B

Variable types

Categorical20
Text8
DateTime4
Unsupported19
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-17900/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
제작취급품목내용 has constant value ""Constant
인허가취소일자 is highly imbalanced (99.5%)Imbalance
영업상태코드 is highly imbalanced (52.9%)Imbalance
영업상태명 is highly imbalanced (52.9%)Imbalance
상세영업상태코드 is highly imbalanced (65.1%)Imbalance
상세영업상태명 is highly imbalanced (65.1%)Imbalance
휴업시작일자 is highly imbalanced (99.4%)Imbalance
휴업종료일자 is highly imbalanced (99.1%)Imbalance
데이터갱신구분 is highly imbalanced (53.7%)Imbalance
주변환경명 is highly imbalanced (98.1%)Imbalance
지하층수 is highly imbalanced (78.5%)Imbalance
건물용도명 is highly imbalanced (92.1%)Imbalance
통로너비 is highly imbalanced (78.1%)Imbalance
조명시설조도 is highly imbalanced (78.1%)Imbalance
노래방실수 is highly imbalanced (78.1%)Imbalance
청소년실수 is highly imbalanced (78.1%)Imbalance
총게임기수 is highly imbalanced (78.1%)Imbalance
지역구분명 is highly imbalanced (97.1%)Imbalance
폐업일자 has 1862 (70.8%) missing valuesMissing
재개업일자 has 2629 (100.0%) missing valuesMissing
전화번호 has 1848 (70.3%) missing valuesMissing
소재지면적 has 2629 (100.0%) missing valuesMissing
소재지우편번호 has 1232 (46.9%) missing valuesMissing
도로명주소 has 33 (1.3%) missing valuesMissing
도로명우편번호 has 987 (37.5%) missing valuesMissing
업태구분명 has 2629 (100.0%) missing valuesMissing
좌표정보(X) has 88 (3.3%) missing valuesMissing
좌표정보(Y) has 88 (3.3%) missing valuesMissing
총층수 has 2345 (89.2%) missing valuesMissing
제작취급품목내용 has 2628 (> 99.9%) missing valuesMissing
시설면적 has 1973 (75.0%) missing valuesMissing
지상층수 has 2347 (89.3%) missing valuesMissing
비상계단여부 has 2629 (100.0%) missing valuesMissing
비상구여부 has 2629 (100.0%) missing valuesMissing
자동환기여부 has 2629 (100.0%) missing valuesMissing
청소년실여부 has 2629 (100.0%) missing valuesMissing
특수조명여부 has 2629 (100.0%) missing valuesMissing
방음시설여부 has 2629 (100.0%) missing valuesMissing
비디오재생기명 has 2629 (100.0%) missing valuesMissing
조명시설유무 has 2629 (100.0%) missing valuesMissing
음향시설여부 has 2629 (100.0%) missing valuesMissing
편의시설여부 has 2629 (100.0%) missing valuesMissing
소방시설여부 has 2629 (100.0%) missing valuesMissing
기존게임업외업종명 has 2629 (100.0%) missing valuesMissing
제공게임물명 has 2629 (100.0%) missing valuesMissing
공연장형태구분명 has 2629 (100.0%) missing valuesMissing
품목명 has 2629 (100.0%) missing valuesMissing
최초등록시점 has 2629 (100.0%) missing valuesMissing
좌표정보(Y) is highly skewed (γ1 = -34.59738387)Skewed
시설면적 is highly skewed (γ1 = 20.32401278)Skewed
관리번호 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 270 (10.3%) zerosZeros
시설면적 has 622 (23.7%) zerosZeros
지상층수 has 267 (10.2%) zerosZeros

Reproduction

Analysis started2024-05-11 04:35:29.083081
Analysis finished2024-05-11 04:35:32.677530
Duration3.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
3230000
2629 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 2629
100.0%

Length

2024-05-11T04:35:33.053056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:33.482780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 2629
100.0%

관리번호
Text

UNIQUE 

Distinct2629
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2024-05-11T04:35:34.034281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters52580
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

Unique2629 ?
Unique (%)100.0%

Sample

1st rowCDFG1251001905000001
2nd rowCDFG1251001946000001
3rd rowCDFG1251001953000001
4th rowCDFG1251001953000002
5th rowCDFG1251001971000001
ValueCountFrequency (%)
cdfg1251001905000001 1
 
< 0.1%
cdfg1251002018000020 1
 
< 0.1%
cdfg1251002018000030 1
 
< 0.1%
cdfg1251002018000023 1
 
< 0.1%
cdfg1251002018000024 1
 
< 0.1%
cdfg1251002018000025 1
 
< 0.1%
cdfg1251002018000026 1
 
< 0.1%
cdfg1251002018000027 1
 
< 0.1%
cdfg1251002018000028 1
 
< 0.1%
cdfg1251002018000029 1
 
< 0.1%
Other values (2619) 2619
99.6%
2024-05-11T04:35:35.260157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19013
36.2%
1 8126
15.5%
2 6449
 
12.3%
5 3336
 
6.3%
C 2629
 
5.0%
D 2629
 
5.0%
F 2629
 
5.0%
G 2629
 
5.0%
9 1396
 
2.7%
3 898
 
1.7%
Other values (4) 2846
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42064
80.0%
Uppercase Letter 10516
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19013
45.2%
1 8126
19.3%
2 6449
 
15.3%
5 3336
 
7.9%
9 1396
 
3.3%
3 898
 
2.1%
4 785
 
1.9%
6 702
 
1.7%
8 682
 
1.6%
7 677
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
C 2629
25.0%
D 2629
25.0%
F 2629
25.0%
G 2629
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42064
80.0%
Latin 10516
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19013
45.2%
1 8126
19.3%
2 6449
 
15.3%
5 3336
 
7.9%
9 1396
 
3.3%
3 898
 
2.1%
4 785
 
1.9%
6 702
 
1.7%
8 682
 
1.6%
7 677
 
1.6%
Latin
ValueCountFrequency (%)
C 2629
25.0%
D 2629
25.0%
F 2629
25.0%
G 2629
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19013
36.2%
1 8126
15.5%
2 6449
 
12.3%
5 3336
 
6.3%
C 2629
 
5.0%
D 2629
 
5.0%
F 2629
 
5.0%
G 2629
 
5.0%
9 1396
 
2.7%
3 898
 
1.7%
Other values (4) 2846
 
5.4%
Distinct2057
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
Minimum1905-12-18 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T04:35:35.841991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:35:36.563878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
<NA>
2628 
20100907
 
1

Length

Max length8
Median length4
Mean length4.0015215
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> 2628
> 99.9%
20100907 1
 
< 0.1%

Length

2024-05-11T04:35:37.390432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:37.839753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2628
> 99.9%
20100907 1
 
< 0.1%

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
1
1734 
3
813 
5
 
74
4
 
6
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1734
66.0%
3 813
30.9%
5 74
 
2.8%
4 6
 
0.2%
2 2
 
0.1%

Length

2024-05-11T04:35:38.296216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:38.747640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1734
66.0%
3 813
30.9%
5 74
 
2.8%
4 6
 
0.2%
2 2
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
영업/정상
1734 
폐업
813 
제외/삭제/전출
 
74
취소/말소/만료/정지/중지
 
6
휴업
 
2

Length

Max length14
Median length5
Mean length4.1749715
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1734
66.0%
폐업 813
30.9%
제외/삭제/전출 74
 
2.8%
취소/말소/만료/정지/중지 6
 
0.2%
휴업 2
 
0.1%

Length

2024-05-11T04:35:39.405567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:40.019644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1734
66.0%
폐업 813
30.9%
제외/삭제/전출 74
 
2.8%
취소/말소/만료/정지/중지 6
 
0.2%
휴업 2
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
13
1732 
03
813 
15
 
74
31
 
3
25
 
2
Other values (4)
 
5

Length

Max length4
Median length2
Mean length2.0007607
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row03
2nd row03
3rd row13
4th row03
5th row13

Common Values

ValueCountFrequency (%)
13 1732
65.9%
03 813
30.9%
15 74
 
2.8%
31 3
 
0.1%
25 2
 
0.1%
02 2
 
0.1%
BBBB 1
 
< 0.1%
14 1
 
< 0.1%
32 1
 
< 0.1%

Length

2024-05-11T04:35:40.643735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:41.013112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 1732
65.9%
03 813
30.9%
15 74
 
2.8%
31 3
 
0.1%
25 2
 
0.1%
02 2
 
0.1%
bbbb 1
 
< 0.1%
14 1
 
< 0.1%
32 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
영업중
1732 
폐업
813 
전출
 
74
등록취소
 
3
영업정지
 
2
Other values (4)
 
5

Length

Max length4
Median length3
Mean length2.6641308
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1732
65.9%
폐업 813
30.9%
전출 74
 
2.8%
등록취소 3
 
0.1%
영업정지 2
 
0.1%
휴업 2
 
0.1%
<NA> 1
 
< 0.1%
전입 1
 
< 0.1%
신고취소 1
 
< 0.1%

Length

2024-05-11T04:35:41.626230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:42.171033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1732
65.9%
폐업 813
30.9%
전출 74
 
2.8%
등록취소 3
 
0.1%
영업정지 2
 
0.1%
휴업 2
 
0.1%
na 1
 
< 0.1%
전입 1
 
< 0.1%
신고취소 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct622
Distinct (%)81.1%
Missing1862
Missing (%)70.8%
Memory size20.7 KiB
Minimum1996-08-23 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T04:35:42.779767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:35:43.307320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
<NA>
2627 
20220120
 
1
20210827
 
1

Length

Max length8
Median length4
Mean length4.003043
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> 2627
99.9%
20220120 1
 
< 0.1%
20210827 1
 
< 0.1%

Length

2024-05-11T04:35:43.961166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:44.421001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2627
99.9%
20220120 1
 
< 0.1%
20210827 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
<NA>
2625 
20190715
 
2
20221220
 
1
20220826
 
1

Length

Max length8
Median length4
Mean length4.006086
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> 2625
99.8%
20190715 2
 
0.1%
20221220 1
 
< 0.1%
20220826 1
 
< 0.1%

Length

2024-05-11T04:35:44.821202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:45.236675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2625
99.8%
20190715 2
 
0.1%
20221220 1
 
< 0.1%
20220826 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

전화번호
Text

MISSING 

Distinct731
Distinct (%)93.6%
Missing1848
Missing (%)70.3%
Memory size20.7 KiB
2024-05-11T04:35:45.877733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.074264
Min length1

Characters and Unicode

Total characters7868
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique712 ?
Unique (%)91.2%

Sample

1st row0
2nd row02-409-8058
3rd row0
4th row02-2202-7878
5th row0
ValueCountFrequency (%)
0 29
 
3.7%
02 4
 
0.5%
02-448-9661 4
 
0.5%
02-525-7627 3
 
0.4%
00-0000-0000 3
 
0.4%
02-333-9535 2
 
0.3%
02-418-1315 2
 
0.3%
02-421-1443 2
 
0.3%
029717347 2
 
0.3%
02-470-3510 2
 
0.3%
Other values (722) 731
93.2%
2024-05-11T04:35:47.567432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1410
17.9%
2 1120
14.2%
- 991
12.6%
4 816
10.4%
1 626
8.0%
7 558
 
7.1%
3 537
 
6.8%
5 515
 
6.5%
8 445
 
5.7%
6 428
 
5.4%
Other values (4) 422
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6832
86.8%
Dash Punctuation 991
 
12.6%
Close Punctuation 41
 
0.5%
Space Separator 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1410
20.6%
2 1120
16.4%
4 816
11.9%
1 626
9.2%
7 558
 
8.2%
3 537
 
7.9%
5 515
 
7.5%
8 445
 
6.5%
6 428
 
6.3%
9 377
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 991
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7868
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1410
17.9%
2 1120
14.2%
- 991
12.6%
4 816
10.4%
1 626
8.0%
7 558
 
7.1%
3 537
 
6.8%
5 515
 
6.5%
8 445
 
5.7%
6 428
 
5.4%
Other values (4) 422
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7868
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1410
17.9%
2 1120
14.2%
- 991
12.6%
4 816
10.4%
1 626
8.0%
7 558
 
7.1%
3 537
 
6.8%
5 515
 
6.5%
8 445
 
5.7%
6 428
 
5.4%
Other values (4) 422
 
5.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

소재지우편번호
Text

MISSING 

Distinct212
Distinct (%)15.2%
Missing1232
Missing (%)46.9%
Memory size20.7 KiB
2024-05-11T04:35:48.664411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0164639
Min length6

Characters and Unicode

Total characters8405
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

Unique71 ?
Unique (%)5.1%

Sample

1st row138713
2nd row138845
3rd row138806
4th row138834
5th row138858
ValueCountFrequency (%)
138828 39
 
2.8%
138200 39
 
2.8%
138240 37
 
2.6%
138850 30
 
2.1%
138830 29
 
2.1%
138862 28
 
2.0%
138861 28
 
2.0%
138849 27
 
1.9%
138827 27
 
1.9%
138855 26
 
1.9%
Other values (202) 1087
77.8%
2024-05-11T04:35:50.480381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 2521
30.0%
1 1728
20.6%
3 1671
19.9%
0 505
 
6.0%
2 476
 
5.7%
4 365
 
4.3%
5 323
 
3.8%
7 287
 
3.4%
6 267
 
3.2%
9 239
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8382
99.7%
Dash Punctuation 23
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 2521
30.1%
1 1728
20.6%
3 1671
19.9%
0 505
 
6.0%
2 476
 
5.7%
4 365
 
4.4%
5 323
 
3.9%
7 287
 
3.4%
6 267
 
3.2%
9 239
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8405
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 2521
30.0%
1 1728
20.6%
3 1671
19.9%
0 505
 
6.0%
2 476
 
5.7%
4 365
 
4.3%
5 323
 
3.8%
7 287
 
3.4%
6 267
 
3.2%
9 239
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8405
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 2521
30.0%
1 1728
20.6%
3 1671
19.9%
0 505
 
6.0%
2 476
 
5.7%
4 365
 
4.3%
5 323
 
3.8%
7 287
 
3.4%
6 267
 
3.2%
9 239
 
2.8%
Distinct1703
Distinct (%)64.9%
Missing5
Missing (%)0.2%
Memory size20.7 KiB
2024-05-11T04:35:51.208981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length41
Mean length27.323933
Min length14

Characters and Unicode

Total characters71698
Distinct characters399
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1366 ?
Unique (%)52.1%

Sample

1st row서울특별시 송파구 가락동 **-*번지 밀리아나* ***호
2nd row서울특별시 송파구 석촌동 ***-*번지 고암BD ***호
3rd row서울특별시 송파구 가락동 ***-**번지 지하
4th row서울특별시 송파구 방이동 ***-**번지 *층
5th row서울특별시 송파구 오금동 **번지
ValueCountFrequency (%)
서울특별시 2623
18.9%
송파구 2610
18.8%
번지 1797
12.9%
831
 
6.0%
813
 
5.8%
문정동 431
 
3.1%
가락동 370
 
2.7%
방이동 368
 
2.6%
잠실동 345
 
2.5%
317
 
2.3%
Other values (1048) 3409
24.5%
2024-05-11T04:35:52.731496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 13240
18.5%
12811
17.9%
3433
 
4.8%
3091
 
4.3%
2987
 
4.2%
2700
 
3.8%
2654
 
3.7%
2633
 
3.7%
2632
 
3.7%
2625
 
3.7%
Other values (389) 22892
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43361
60.5%
Other Punctuation 13275
 
18.5%
Space Separator 12811
 
17.9%
Dash Punctuation 1826
 
2.5%
Uppercase Letter 249
 
0.3%
Decimal Number 99
 
0.1%
Lowercase Letter 39
 
0.1%
Close Punctuation 19
 
< 0.1%
Open Punctuation 17
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3433
 
7.9%
3091
 
7.1%
2987
 
6.9%
2700
 
6.2%
2654
 
6.1%
2633
 
6.1%
2632
 
6.1%
2625
 
6.1%
2623
 
6.0%
2022
 
4.7%
Other values (331) 15961
36.8%
Uppercase Letter
ValueCountFrequency (%)
B 62
24.9%
A 40
16.1%
S 21
 
8.4%
C 21
 
8.4%
D 21
 
8.4%
T 14
 
5.6%
E 9
 
3.6%
L 8
 
3.2%
K 7
 
2.8%
M 6
 
2.4%
Other values (13) 40
16.1%
Lowercase Letter
ValueCountFrequency (%)
e 11
28.2%
t 4
 
10.3%
i 4
 
10.3%
r 3
 
7.7%
o 3
 
7.7%
n 2
 
5.1%
s 2
 
5.1%
c 2
 
5.1%
a 2
 
5.1%
h 1
 
2.6%
Other values (5) 5
12.8%
Decimal Number
ValueCountFrequency (%)
1 19
19.2%
2 15
15.2%
4 12
12.1%
8 11
11.1%
3 9
9.1%
6 9
9.1%
7 8
8.1%
9 8
8.1%
0 5
 
5.1%
5 3
 
3.0%
Other Punctuation
ValueCountFrequency (%)
* 13240
99.7%
, 27
 
0.2%
/ 4
 
< 0.1%
. 2
 
< 0.1%
? 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
12811
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1826
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43360
60.5%
Common 28049
39.1%
Latin 288
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3433
 
7.9%
3091
 
7.1%
2987
 
6.9%
2700
 
6.2%
2654
 
6.1%
2633
 
6.1%
2632
 
6.1%
2625
 
6.1%
2623
 
6.0%
2022
 
4.7%
Other values (330) 15960
36.8%
Latin
ValueCountFrequency (%)
B 62
21.5%
A 40
13.9%
S 21
 
7.3%
C 21
 
7.3%
D 21
 
7.3%
T 14
 
4.9%
e 11
 
3.8%
E 9
 
3.1%
L 8
 
2.8%
K 7
 
2.4%
Other values (28) 74
25.7%
Common
ValueCountFrequency (%)
* 13240
47.2%
12811
45.7%
- 1826
 
6.5%
, 27
 
0.1%
1 19
 
0.1%
) 19
 
0.1%
( 17
 
0.1%
2 15
 
0.1%
4 12
 
< 0.1%
8 11
 
< 0.1%
Other values (10) 52
 
0.2%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43360
60.5%
ASCII 28337
39.5%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 13240
46.7%
12811
45.2%
- 1826
 
6.4%
B 62
 
0.2%
A 40
 
0.1%
, 27
 
0.1%
S 21
 
0.1%
C 21
 
0.1%
D 21
 
0.1%
1 19
 
0.1%
Other values (48) 249
 
0.9%
Hangul
ValueCountFrequency (%)
3433
 
7.9%
3091
 
7.1%
2987
 
6.9%
2700
 
6.2%
2654
 
6.1%
2633
 
6.1%
2632
 
6.1%
2625
 
6.1%
2623
 
6.0%
2022
 
4.7%
Other values (330) 15960
36.8%
CJK
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct2078
Distinct (%)80.0%
Missing33
Missing (%)1.3%
Memory size20.7 KiB
2024-05-11T04:35:53.426158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length51
Mean length36.511171
Min length22

Characters and Unicode

Total characters94783
Distinct characters407
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1770 ?
Unique (%)68.2%

Sample

1st row서울특별시 송파구 송파대로**길 **, ***호 (가락동,밀리아나*)
2nd row서울특별시 송파구 백제고분로**길 *, ***호 (석촌동,고암BD)
3rd row서울특별시 송파구 동남로 *** (가락동)
4th row서울특별시 송파구 위례성대로**길 * (방이동,*층)
5th row서울특별시 송파구 중대로**길 ** (오금동)
ValueCountFrequency (%)
서울특별시 2596
14.9%
2594
14.9%
송파구 2585
14.9%
1451
 
8.3%
610
 
3.5%
467
 
2.7%
문정동 386
 
2.2%
가락동 265
 
1.5%
백제고분로**길 246
 
1.4%
잠실동 244
 
1.4%
Other values (1377) 5946
34.2%
2024-05-11T04:35:54.473951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 16579
17.5%
15576
16.4%
3765
 
4.0%
3463
 
3.7%
3347
 
3.5%
, 3301
 
3.5%
2674
 
2.8%
2630
 
2.8%
2618
 
2.8%
) 2615
 
2.8%
Other values (397) 38215
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52967
55.9%
Other Punctuation 19889
 
21.0%
Space Separator 15576
 
16.4%
Close Punctuation 2615
 
2.8%
Open Punctuation 2614
 
2.8%
Dash Punctuation 570
 
0.6%
Uppercase Letter 344
 
0.4%
Decimal Number 171
 
0.2%
Lowercase Letter 35
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3765
 
7.1%
3463
 
6.5%
3347
 
6.3%
2674
 
5.0%
2630
 
5.0%
2618
 
4.9%
2606
 
4.9%
2604
 
4.9%
2596
 
4.9%
2596
 
4.9%
Other values (341) 24068
45.4%
Uppercase Letter
ValueCountFrequency (%)
B 101
29.4%
A 75
21.8%
C 47
13.7%
D 21
 
6.1%
S 19
 
5.5%
T 11
 
3.2%
L 9
 
2.6%
G 9
 
2.6%
E 9
 
2.6%
F 7
 
2.0%
Other values (11) 36
 
10.5%
Lowercase Letter
ValueCountFrequency (%)
e 11
31.4%
i 4
 
11.4%
r 3
 
8.6%
t 3
 
8.6%
n 2
 
5.7%
s 2
 
5.7%
a 2
 
5.7%
b 1
 
2.9%
u 1
 
2.9%
c 1
 
2.9%
Other values (5) 5
14.3%
Decimal Number
ValueCountFrequency (%)
1 37
21.6%
0 25
14.6%
3 23
13.5%
2 19
11.1%
8 14
 
8.2%
6 12
 
7.0%
4 12
 
7.0%
5 12
 
7.0%
9 9
 
5.3%
7 8
 
4.7%
Other Punctuation
ValueCountFrequency (%)
* 16579
83.4%
, 3301
 
16.6%
/ 4
 
< 0.1%
? 3
 
< 0.1%
. 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
15576
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2615
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2614
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 570
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52966
55.9%
Common 41437
43.7%
Latin 379
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3765
 
7.1%
3463
 
6.5%
3347
 
6.3%
2674
 
5.0%
2630
 
5.0%
2618
 
4.9%
2606
 
4.9%
2604
 
4.9%
2596
 
4.9%
2596
 
4.9%
Other values (340) 24067
45.4%
Latin
ValueCountFrequency (%)
B 101
26.6%
A 75
19.8%
C 47
12.4%
D 21
 
5.5%
S 19
 
5.0%
T 11
 
2.9%
e 11
 
2.9%
L 9
 
2.4%
G 9
 
2.4%
E 9
 
2.4%
Other values (26) 67
17.7%
Common
ValueCountFrequency (%)
* 16579
40.0%
15576
37.6%
, 3301
 
8.0%
) 2615
 
6.3%
( 2614
 
6.3%
- 570
 
1.4%
1 37
 
0.1%
0 25
 
0.1%
3 23
 
0.1%
2 19
 
< 0.1%
Other values (10) 78
 
0.2%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52966
55.9%
ASCII 41816
44.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 16579
39.6%
15576
37.2%
, 3301
 
7.9%
) 2615
 
6.3%
( 2614
 
6.3%
- 570
 
1.4%
B 101
 
0.2%
A 75
 
0.2%
C 47
 
0.1%
1 37
 
0.1%
Other values (46) 301
 
0.7%
Hangul
ValueCountFrequency (%)
3765
 
7.1%
3463
 
6.5%
3347
 
6.3%
2674
 
5.0%
2630
 
5.0%
2618
 
4.9%
2606
 
4.9%
2604
 
4.9%
2596
 
4.9%
2596
 
4.9%
Other values (340) 24067
45.4%
CJK
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Text

MISSING 

Distinct439
Distinct (%)26.7%
Missing987
Missing (%)37.5%
Memory size20.7 KiB
2024-05-11T04:35:55.357288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2563946
Min length5

Characters and Unicode

Total characters8631
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

Unique144 ?
Unique (%)8.8%

Sample

1st row138806
2nd row138863
3rd row05719
4th row05629
5th row138240
ValueCountFrequency (%)
05854 65
 
4.0%
05855 45
 
2.7%
05836 41
 
2.5%
05838 29
 
1.8%
05510 24
 
1.5%
05719 21
 
1.3%
138962 21
 
1.3%
05698 19
 
1.2%
05502 19
 
1.2%
05649 18
 
1.1%
Other values (429) 1340
81.6%
2024-05-11T04:35:56.579007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1971
22.8%
0 1662
19.3%
8 1202
13.9%
1 783
 
9.1%
3 778
 
9.0%
6 640
 
7.4%
7 544
 
6.3%
4 439
 
5.1%
9 306
 
3.5%
2 296
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8621
99.9%
Dash Punctuation 10
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1971
22.9%
0 1662
19.3%
8 1202
13.9%
1 783
 
9.1%
3 778
 
9.0%
6 640
 
7.4%
7 544
 
6.3%
4 439
 
5.1%
9 306
 
3.5%
2 296
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8631
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1971
22.8%
0 1662
19.3%
8 1202
13.9%
1 783
 
9.1%
3 778
 
9.0%
6 640
 
7.4%
7 544
 
6.3%
4 439
 
5.1%
9 306
 
3.5%
2 296
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8631
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1971
22.8%
0 1662
19.3%
8 1202
13.9%
1 783
 
9.1%
3 778
 
9.0%
6 640
 
7.4%
7 544
 
6.3%
4 439
 
5.1%
9 306
 
3.5%
2 296
 
3.4%
Distinct2573
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2024-05-11T04:35:57.293001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length28
Mean length7.2932674
Min length1

Characters and Unicode

Total characters19174
Distinct characters800
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2521 ?
Unique (%)95.9%

Sample

1st row인터넷월드
2nd row인테리어유통정보
3rd row도서출판산아강아
4th row한국불교대학출판부
5th row문사미디어
ValueCountFrequency (%)
도서출판 188
 
5.2%
주식회사 181
 
5.0%
출판사 32
 
0.9%
사단법인 15
 
0.4%
연구소 14
 
0.4%
11
 
0.3%
북스 11
 
0.3%
book 11
 
0.3%
books 9
 
0.3%
미디어 9
 
0.3%
Other values (2904) 3116
86.6%
2024-05-11T04:35:58.230257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
969
 
5.1%
609
 
3.2%
605
 
3.2%
570
 
3.0%
508
 
2.6%
468
 
2.4%
458
 
2.4%
449
 
2.3%
) 423
 
2.2%
( 420
 
2.2%
Other values (790) 13695
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15202
79.3%
Lowercase Letter 1037
 
5.4%
Uppercase Letter 978
 
5.1%
Space Separator 969
 
5.1%
Close Punctuation 423
 
2.2%
Open Punctuation 420
 
2.2%
Other Punctuation 65
 
0.3%
Decimal Number 57
 
0.3%
Dash Punctuation 16
 
0.1%
Other Symbol 5
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
609
 
4.0%
605
 
4.0%
570
 
3.7%
508
 
3.3%
468
 
3.1%
458
 
3.0%
449
 
3.0%
406
 
2.7%
266
 
1.7%
240
 
1.6%
Other values (718) 10623
69.9%
Uppercase Letter
ValueCountFrequency (%)
A 78
 
8.0%
O 76
 
7.8%
S 75
 
7.7%
E 66
 
6.7%
B 60
 
6.1%
I 58
 
5.9%
C 55
 
5.6%
N 53
 
5.4%
T 51
 
5.2%
M 47
 
4.8%
Other values (16) 359
36.7%
Lowercase Letter
ValueCountFrequency (%)
o 139
13.4%
e 102
 
9.8%
a 93
 
9.0%
n 87
 
8.4%
i 87
 
8.4%
s 70
 
6.8%
l 59
 
5.7%
r 50
 
4.8%
k 45
 
4.3%
t 42
 
4.1%
Other values (15) 263
25.4%
Decimal Number
ValueCountFrequency (%)
2 20
35.1%
1 20
35.1%
0 10
17.5%
3 3
 
5.3%
7 1
 
1.8%
5 1
 
1.8%
6 1
 
1.8%
9 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 35
53.8%
& 18
27.7%
, 5
 
7.7%
' 3
 
4.6%
? 2
 
3.1%
/ 2
 
3.1%
Space Separator
ValueCountFrequency (%)
969
100.0%
Close Punctuation
ValueCountFrequency (%)
) 423
100.0%
Open Punctuation
ValueCountFrequency (%)
( 420
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Symbol
ValueCountFrequency (%)
5
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15181
79.2%
Latin 2015
 
10.5%
Common 1952
 
10.2%
Han 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
609
 
4.0%
605
 
4.0%
570
 
3.8%
508
 
3.3%
468
 
3.1%
458
 
3.0%
449
 
3.0%
406
 
2.7%
266
 
1.8%
240
 
1.6%
Other values (698) 10602
69.8%
Latin
ValueCountFrequency (%)
o 139
 
6.9%
e 102
 
5.1%
a 93
 
4.6%
n 87
 
4.3%
i 87
 
4.3%
A 78
 
3.9%
O 76
 
3.8%
S 75
 
3.7%
s 70
 
3.5%
E 66
 
3.3%
Other values (41) 1142
56.7%
Han
ValueCountFrequency (%)
3
 
11.5%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (11) 11
42.3%
Common
ValueCountFrequency (%)
969
49.6%
) 423
21.7%
( 420
21.5%
. 35
 
1.8%
2 20
 
1.0%
1 20
 
1.0%
& 18
 
0.9%
- 16
 
0.8%
0 10
 
0.5%
, 5
 
0.3%
Other values (10) 16
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15176
79.1%
ASCII 3966
 
20.7%
CJK 25
 
0.1%
None 5
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
969
24.4%
) 423
 
10.7%
( 420
 
10.6%
o 139
 
3.5%
e 102
 
2.6%
a 93
 
2.3%
n 87
 
2.2%
i 87
 
2.2%
A 78
 
2.0%
O 76
 
1.9%
Other values (60) 1492
37.6%
Hangul
ValueCountFrequency (%)
609
 
4.0%
605
 
4.0%
570
 
3.8%
508
 
3.3%
468
 
3.1%
458
 
3.0%
449
 
3.0%
406
 
2.7%
266
 
1.8%
240
 
1.6%
Other values (697) 10597
69.8%
None
ValueCountFrequency (%)
5
100.0%
CJK
ValueCountFrequency (%)
3
 
12.0%
2
 
8.0%
2
 
8.0%
2
 
8.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
Other values (10) 10
40.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%
Distinct2167
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
Minimum2003-02-17 15:40:06
Maximum2024-05-07 09:46:09
2024-05-11T04:35:58.633533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:35:58.892745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
I
2104 
U
521 
D
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2104
80.0%
U 521
 
19.8%
D 4
 
0.2%

Length

2024-05-11T04:35:59.201056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:59.514105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2104
80.0%
u 521
 
19.8%
d 4
 
0.2%
Distinct729
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T04:35:59.787122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:36:00.230419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1444
Distinct (%)56.8%
Missing88
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean209944.39
Minimum193092.93
Maximum238399.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.2 KiB
2024-05-11T04:36:00.656335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193092.93
5-th percentile207109.96
Q1209074.9
median210155.05
Q3210986.46
95-th percentile212587.48
Maximum238399.66
Range45306.738
Interquartile range (IQR)1911.5599

Descriptive statistics

Standard deviation1801.7212
Coefficient of variation (CV)0.0085818974
Kurtosis33.20547
Mean209944.39
Median Absolute Deviation (MAD)903.15218
Skewness0.20717496
Sum5.3346868 × 108
Variance3246199.2
MonotonicityNot monotonic
2024-05-11T04:36:01.093120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210986.460698452 33
 
1.3%
207750.499013776 28
 
1.1%
211986.297245596 28
 
1.1%
210627.0 25
 
1.0%
210045.748264305 25
 
1.0%
210480.282018702 25
 
1.0%
207125.178244289 21
 
0.8%
209140.885315651 21
 
0.8%
209314.259995755 20
 
0.8%
208317.419891103 20
 
0.8%
Other values (1434) 2295
87.3%
(Missing) 88
 
3.3%
ValueCountFrequency (%)
193092.926625941 1
< 0.1%
194530.535390096 1
< 0.1%
194561.746032498 1
< 0.1%
196532.11697068 1
< 0.1%
197617.394056614 1
< 0.1%
199917.22023781 1
< 0.1%
201850.422584163 1
< 0.1%
202099.252780012 1
< 0.1%
202310.771956466 1
< 0.1%
202835.924249933 1
< 0.1%
ValueCountFrequency (%)
238399.66484 1
 
< 0.1%
214185.037966 1
 
< 0.1%
213999.956783491 3
0.1%
213977.355937651 2
0.1%
213958.836948497 1
 
< 0.1%
213922.126135051 1
 
< 0.1%
213896.170001486 1
 
< 0.1%
213884.399352724 1
 
< 0.1%
213842.444758266 1
 
< 0.1%
213786.176760741 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING  SKEWED 

Distinct1442
Distinct (%)56.7%
Missing88
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean444506.08
Minimum314894.33
Maximum455862.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.2 KiB
2024-05-11T04:36:01.494055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum314894.33
5-th percentile442038.14
Q1443647.9
median444699.75
Q3445412.66
95-th percentile446364.32
Maximum455862.46
Range140968.12
Interquartile range (IQR)1764.7629

Descriptive statistics

Standard deviation2914.8969
Coefficient of variation (CV)0.0065576087
Kurtosis1539.9407
Mean444506.08
Median Absolute Deviation (MAD)835.29905
Skewness-34.597384
Sum1.1294899 × 109
Variance8496624
MonotonicityNot monotonic
2024-05-11T04:36:01.939736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441725.293491662 33
 
1.3%
445762.808120998 28
 
1.1%
446156.529775445 28
 
1.1%
442875.0 25
 
1.0%
442930.687284628 25
 
1.0%
441833.16323518 25
 
1.0%
445763.360184076 22
 
0.8%
446042.592367722 21
 
0.8%
446483.316079239 20
 
0.8%
445894.98085039 20
 
0.8%
Other values (1432) 2294
87.3%
(Missing) 88
 
3.3%
ValueCountFrequency (%)
314894.333656 1
 
< 0.1%
441534.957797015 1
 
< 0.1%
441586.029967716 1
 
< 0.1%
441609.522612664 1
 
< 0.1%
441716.229439967 1
 
< 0.1%
441725.293491662 33
1.3%
441730.920486073 5
 
0.2%
441742.326114848 1
 
< 0.1%
441783.925940161 2
 
0.1%
441825.545193972 1
 
< 0.1%
ValueCountFrequency (%)
455862.456880803 1
< 0.1%
452390.167805309 1
< 0.1%
450939.336299479 1
< 0.1%
449389.320472752 1
< 0.1%
448601.324644324 2
0.1%
448597.467155192 1
< 0.1%
448563.154431644 1
< 0.1%
448499.494831757 1
< 0.1%
448453.385865678 1
< 0.1%
448444.819008131 1
< 0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
출판사
2115 
<NA>
514 

Length

Max length4
Median length3
Mean length3.1955116
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판사 2115
80.4%
<NA> 514
 
19.6%

Length

2024-05-11T04:36:02.372745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:36:02.687267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판사 2115
80.4%
na 514
 
19.6%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
출판인쇄업
2115 
<NA>
514 

Length

Max length5
Median length5
Mean length4.8044884
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 2115
80.4%
<NA> 514
 
19.6%

Length

2024-05-11T04:36:03.026703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:36:03.413381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 2115
80.4%
na 514
 
19.6%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)3.9%
Missing2345
Missing (%)89.2%
Infinite0
Infinite (%)0.0%
Mean0.54929577
Minimum0
Maximum41
Zeros270
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size23.2 KiB
2024-05-11T04:36:03.715453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.7868612
Coefficient of variation (CV)6.8940293
Kurtosis93.884014
Mean0.54929577
Median Absolute Deviation (MAD)0
Skewness9.3292938
Sum156
Variance14.340318
MonotonicityNot monotonic
2024-05-11T04:36:04.065624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 270
 
10.3%
5 2
 
0.1%
1 2
 
0.1%
4 2
 
0.1%
41 2
 
0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%
(Missing) 2345
89.2%
ValueCountFrequency (%)
0 270
10.3%
1 2
 
0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 2
 
0.1%
5 2
 
0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
41 2
0.1%
20 1
< 0.1%
11 1
< 0.1%
10 1
< 0.1%
8 1
< 0.1%
5 2
0.1%
4 2
0.1%
3 1
< 0.1%
2 1
< 0.1%
1 2
0.1%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
<NA>
2620 
아파트지역
 
6
주택가주변
 
2
기타
 
1

Length

Max length5
Median length4
Mean length4.0022822
Min length2

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> 2620
99.7%
아파트지역 6
 
0.2%
주택가주변 2
 
0.1%
기타 1
 
< 0.1%

Length

2024-05-11T04:36:04.472436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:36:04.809150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2620
99.7%
아파트지역 6
 
0.2%
주택가주변 2
 
0.1%
기타 1
 
< 0.1%

제작취급품목내용
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing2628
Missing (%)> 99.9%
Memory size20.7 KiB
2024-05-11T04:36:05.062993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories2 ?
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 row학원용 서적
ValueCountFrequency (%)
학원용 1
50.0%
서적 1
50.0%
2024-05-11T04:36:05.742682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
83.3%
Space Separator 1
 
16.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
83.3%
Common 1
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
83.3%
ASCII 1
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
ASCII
ValueCountFrequency (%)
1
100.0%

시설면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct31
Distinct (%)4.7%
Missing1973
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean28.250976
Minimum0
Maximum9967
Zeros622
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size23.2 KiB
2024-05-11T04:36:05.983211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10.2575
Maximum9967
Range9967
Interquartile range (IQR)0

Descriptive statistics

Standard deviation434.13124
Coefficient of variation (CV)15.366947
Kurtosis440.77861
Mean28.250976
Median Absolute Deviation (MAD)0
Skewness20.324013
Sum18532.64
Variance188469.94
MonotonicityNot monotonic
2024-05-11T04:36:06.238660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 622
 
23.7%
30.0 3
 
0.1%
33.0 2
 
0.1%
16.2 2
 
0.1%
66.0 1
 
< 0.1%
395.47 1
 
< 0.1%
102.5 1
 
< 0.1%
134.89 1
 
< 0.1%
84.0 1
 
< 0.1%
33.07 1
 
< 0.1%
Other values (21) 21
 
0.8%
(Missing) 1973
75.0%
ValueCountFrequency (%)
0.0 622
23.7%
9.0 1
 
< 0.1%
14.03 1
 
< 0.1%
16.2 2
 
0.1%
20.68 1
 
< 0.1%
21.4 1
 
< 0.1%
27.35 1
 
< 0.1%
30.0 3
 
0.1%
30.3 1
 
< 0.1%
30.87 1
 
< 0.1%
ValueCountFrequency (%)
9967.0 1
< 0.1%
4681.95 1
< 0.1%
1518.0 1
< 0.1%
395.47 1
< 0.1%
309.06 1
< 0.1%
191.4 1
< 0.1%
148.0 1
< 0.1%
134.89 1
< 0.1%
117.14 1
< 0.1%
102.5 1
< 0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.5%
Missing2347
Missing (%)89.3%
Infinite0
Infinite (%)0.0%
Mean0.29787234
Minimum0
Maximum16
Zeros267
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size23.2 KiB
2024-05-11T04:36:06.448287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.95
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6128694
Coefficient of variation (CV)5.4146331
Kurtosis53.699422
Mean0.29787234
Median Absolute Deviation (MAD)0
Skewness6.9650181
Sum84
Variance2.6013478
MonotonicityNot monotonic
2024-05-11T04:36:06.799055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 267
 
10.2%
3 5
 
0.2%
4 2
 
0.1%
2 2
 
0.1%
1 1
 
< 0.1%
13 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
8 1
 
< 0.1%
16 1
 
< 0.1%
(Missing) 2347
89.3%
ValueCountFrequency (%)
0 267
10.2%
1 1
 
< 0.1%
2 2
 
0.1%
3 5
 
0.2%
4 2
 
0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
13 1
 
< 0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
13 1
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
4 2
 
0.1%
3 5
 
0.2%
2 2
 
0.1%
1 1
 
< 0.1%
0 267
10.2%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
<NA>
2355 
0
269 
1
 
3
3
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.6873336
Min length1

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> 2355
89.6%
0 269
 
10.2%
1 3
 
0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%

Length

2024-05-11T04:36:07.183864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:36:07.389891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2355
89.6%
0 269
 
10.2%
1 3
 
0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%

건물용도명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
<NA>
2541 
근린생활시설
 
71
아파트
 
6
사무실
 
4
기타
 
2
Other values (4)
 
5

Length

Max length12
Median length4
Mean length4.0524914
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2541
96.7%
근린생활시설 71
 
2.7%
아파트 6
 
0.2%
사무실 4
 
0.2%
기타 2
 
0.1%
종교시설 2
 
0.1%
단독주택 1
 
< 0.1%
다중주택(공동주택적용) 1
 
< 0.1%
교육연구시설 1
 
< 0.1%

Length

2024-05-11T04:36:07.650000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:36:07.873001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2541
96.7%
근린생활시설 71
 
2.7%
아파트 6
 
0.2%
사무실 4
 
0.2%
기타 2
 
0.1%
종교시설 2
 
0.1%
단독주택 1
 
< 0.1%
다중주택(공동주택적용 1
 
< 0.1%
교육연구시설 1
 
< 0.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
<NA>
2537 
0
 
92

Length

Max length4
Median length4
Mean length3.8950171
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> 2537
96.5%
0 92
 
3.5%

Length

2024-05-11T04:36:08.262920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:36:08.451152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2537
96.5%
0 92
 
3.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
<NA>
2537 
0
 
92

Length

Max length4
Median length4
Mean length3.8950171
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> 2537
96.5%
0 92
 
3.5%

Length

2024-05-11T04:36:08.652908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:36:08.844748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2537
96.5%
0 92
 
3.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
<NA>
2537 
0
 
92

Length

Max length4
Median length4
Mean length3.8950171
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> 2537
96.5%
0 92
 
3.5%

Length

2024-05-11T04:36:09.047001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:36:09.257131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2537
96.5%
0 92
 
3.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
<NA>
2537 
0
 
92

Length

Max length4
Median length4
Mean length3.8950171
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> 2537
96.5%
0 92
 
3.5%

Length

2024-05-11T04:36:09.591903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:36:09.824580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2537
96.5%
0 92
 
3.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
<NA>
2537 
0
 
92

Length

Max length4
Median length4
Mean length3.8950171
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> 2537
96.5%
0 92
 
3.5%

Length

2024-05-11T04:36:10.023581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:36:10.269328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2537
96.5%
0 92
 
3.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2629
Missing (%)100.0%
Memory size23.2 KiB

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
<NA>
2607 
주거지역
 
8
일반주거지역
 
4
일반상업지역
 
3
상업지역
 
2
Other values (4)
 
5

Length

Max length6
Median length4
Mean length4.0076075
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2607
99.2%
주거지역 8
 
0.3%
일반주거지역 4
 
0.2%
일반상업지역 3
 
0.1%
상업지역 2
 
0.1%
준공업지역 2
 
0.1%
공업지역 1
 
< 0.1%
중심상업지역 1
 
< 0.1%
전용주거지역 1
 
< 0.1%

Length

2024-05-11T04:36:10.653394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:36:11.120141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2607
99.2%
주거지역 8
 
0.3%
일반주거지역 4
 
0.2%
일반상업지역 3
 
0.1%
상업지역 2
 
0.1%
준공업지역 2
 
0.1%
공업지역 1
 
< 0.1%
중심상업지역 1
 
< 0.1%
전용주거지역 1
 
< 0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03230000CDFG125100190500000119051218<NA>3폐업03폐업19980601<NA><NA><NA><NA><NA>138713서울특별시 송파구 가락동 **-*번지 밀리아나* ***호서울특별시 송파구 송파대로**길 **, ***호 (가락동,밀리아나*)<NA>인터넷월드2003-02-17 15:40:06I2018-08-31 23:59:59.0<NA>210591.787825443574.42766출판사출판인쇄업<NA><NA><NA>0.0<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>
13230000CDFG125100194600000119460207<NA>3폐업03폐업<NA><NA><NA><NA><NA><NA>138845서울특별시 송파구 석촌동 ***-*번지 고암BD ***호서울특별시 송파구 백제고분로**길 *, ***호 (석촌동,고암BD)<NA>인테리어유통정보2003-02-17 15:40:06I2018-08-31 23:59:59.0<NA>208802.736097444494.187524출판사출판인쇄업<NA><NA><NA>0.0<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>
23230000CDFG125100195300000119530327<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138806서울특별시 송파구 가락동 ***-**번지 지하서울특별시 송파구 동남로 *** (가락동)138806도서출판산아강아2011-10-30 13:39:51I2018-08-31 23:59:59.0<NA>210865.221739443139.963929출판사출판인쇄업<NA><NA><NA>0.0<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>
33230000CDFG125100195300000219530626<NA>3폐업03폐업19981104<NA><NA><NA><NA><NA>138834서울특별시 송파구 방이동 ***-**번지 *층서울특별시 송파구 위례성대로**길 * (방이동,*층)<NA>한국불교대학출판부2003-02-17 15:40:06I2018-08-31 23:59:59.0<NA>211097.983436445493.566067출판사출판인쇄업<NA><NA><NA>0.0<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>
43230000CDFG125100197100000119710902<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138858서울특별시 송파구 오금동 **번지서울특별시 송파구 중대로**길 ** (오금동)<NA>문사미디어2006-06-13 13:20:41I2018-08-31 23:59:59.0<NA>211883.501626444946.36539출판사출판인쇄업<NA><NA><NA>0.0<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>
53230000CDFG125100197600000119760831<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138849서울특별시 송파구 송파동 **-*번지 잠실대우레이크월드 ****호서울특별시 송파구 석촌호수로 ***, ****호 (송파동,잠실대우레이크월드)<NA>한국교양문화원2005-01-21 17:19:18I2018-08-31 23:59:59.0<NA>209495.573765445486.045813출판사출판인쇄업<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>
63230000CDFG125100197600000219761216<NA>3폐업03폐업20010213<NA><NA><NA><NA><NA>138840서울특별시 송파구 삼전동 ***-*번지 은도빌딩 ***호서울특별시 송파구 석촌호수로 ***, ***호 (삼전동,은도빌딩)<NA>도서출판한성사2003-02-17 15:40:06I2018-08-31 23:59:59.0<NA>208312.220405444948.902591출판사출판인쇄업<NA><NA><NA>0.0<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>
73230000CDFG125100197900000119790802<NA>3폐업03폐업<NA><NA><NA><NA><NA><NA>138833서울특별시 송파구 방이동 ***-*번지 삼우빌딩 ***호서울특별시 송파구 가락로 ***, ***호 (방이동,삼우빌딩)<NA>도서출판한마음2003-02-17 15:40:06I2018-08-31 23:59:59.0<NA>210518.562333445568.206528출판사출판인쇄업<NA><NA><NA>0.0<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>
83230000CDFG125100197900000219790802<NA>3폐업03폐업<NA><NA><NA><NA><NA><NA>138833서울특별시 송파구 방이동 ***-*번지 삼우빌딩** *호동서울특별시 송파구 가락로 ***, *호동 (방이동,삼우빌딩**)<NA>도서출판한마음2003-02-17 15:40:06I2018-08-31 23:59:59.0<NA>210518.562333445568.206528출판사출판인쇄업<NA><NA><NA>0.0<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>
93230000CDFG125100197900000319790913<NA>3폐업03폐업19970612<NA><NA><NA>0<NA>138863서울특별시 송파구 잠실동 ***-*번지서울특별시 송파구 백제고분로 *** (잠실동)138863도서출판두림2013-12-10 10:56:01I2018-08-31 23:59:59.0<NA>207215.181626444889.462529출판사출판인쇄업<NA><NA><NA>0.0<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
26193230000CDFG12510020240000502024-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 ** 아이티벤처타워서울특별시 송파구 중대로 ***, 아이티벤처타워 비***호 A-**호 (가락동)05717크리스마스 북스2024-04-15 10:01:04I2023-12-03 23:07:00.0<NA>210758.11912443662.956402<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><NA><NA>
26203230000CDFG12510020240000512024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 *** 신구블레스밸리아파트서울특별시 송파구 위례성대로**길 **, ***동 ****호 (방이동, 신구블레스밸리아파트)05640생각하는 달팽이2024-04-17 09:59:30I2023-12-03 23:09:00.0<NA>210745.531935445469.856649<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><NA><NA>
26213230000CDFG12510020240000522019-12-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 **-* 삼원빌딩서울특별시 송파구 양재대로**길 *, *층 (가락동)05708주식회사 박세니마인드코칭연구소2024-04-18 14:49:47I2023-12-03 22:00:00.0<NA>210279.347678444049.8095<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><NA><NA>
26223230000CDFG12510020240000532024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 거여동 *** 포레나송파서울특별시 송파구 위례송파로 ***, ****동 ***호 (거여동, 포레나송파)05846스카이마인드2024-04-23 09:44:47I2023-12-03 22:05:00.0<NA>213083.043648442635.28984<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><NA><NA>
26233230000CDFG12510020240000542023-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 ***-* 해태그린피아빌라트서울특별시 송파구 위례성대로 **, *층 **호 (방이동, 해태그린피아빌라트)05627애플망고북스2024-04-24 13:59:54I2023-12-03 22:06:00.0<NA>210215.158973445957.981705<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><NA><NA>
26243230000CDFG12510020240000552021-10-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 ** 트리지움서울특별시 송파구 잠실로 **, ***동 ****호 (잠실동, 트리지움)05555소다북스2024-04-29 13:09:07I2023-12-05 00:01:00.0<NA>207849.57677445299.913591<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><NA><NA>
26253230000CDFG12510020240000562024-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 ** 트리지움서울특별시 송파구 잠실로 **, ***동 ***호 (잠실동, 트리지움)05555한국ABA행동발달연구소 경기점2024-04-29 13:44:18I2023-12-05 00:01:00.0<NA>207849.57677445299.913591<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><NA><NA>
26263230000CDFG12510020240000572023-04-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 석촌동 ***-*서울특별시 송파구 가락로 **, 서원빌딩 *층 ***호 - E***호 (석촌동)05696(주)케이에듀홀딩스2024-05-01 13:38:24I2023-12-05 00:03:00.0<NA>209275.785444251.725<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><NA><NA>
26273230000CDFG12510020240000582024-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 ** 올림픽선수기자촌아파트서울특별시 송파구 양재대로 ****, ***동 ***호 (방이동, 올림픽선수기자촌아파트)05649(주)제이와이이노배이션2024-05-02 15:33:35I2023-12-05 00:04:00.0<NA>211986.297246446156.529775<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><NA><NA>
26283230000CDFG12510020240000592024-05-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 장지동 *** 송파파인타운*단지서울특별시 송파구 송파대로*길 **, ***동 ****호 (장지동, 송파파인타운*단지)05815북인스토리2024-05-07 09:46:09I2023-12-05 00:09:00.0<NA>211310.006906441783.92594<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><NA><NA>