Overview

Dataset statistics

Number of variables56
Number of observations1290
Missing cells34397
Missing cells (%)47.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory611.1 KiB
Average record size in memory485.1 B

Variable types

Numeric9
Text7
DateTime4
Categorical15
Unsupported21

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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16039/S/1/datasetView.do

Alerts

인허가취소일자 is highly imbalanced (98.8%)Imbalance
영업상태코드 is highly imbalanced (50.5%)Imbalance
영업상태명 is highly imbalanced (50.5%)Imbalance
상세영업상태명 is highly imbalanced (64.2%)Imbalance
주변환경명 is highly imbalanced (93.9%)Imbalance
건물용도명 is highly imbalanced (92.7%)Imbalance
지역구분명 is highly imbalanced (92.1%)Imbalance
폐업일자 has 978 (75.8%) missing valuesMissing
휴업시작일자 has 1290 (100.0%) missing valuesMissing
휴업종료일자 has 1290 (100.0%) missing valuesMissing
재개업일자 has 1290 (100.0%) missing valuesMissing
전화번호 has 598 (46.4%) missing valuesMissing
소재지면적 has 1290 (100.0%) missing valuesMissing
소재지우편번호 has 976 (75.7%) missing valuesMissing
도로명주소 has 34 (2.6%) missing valuesMissing
도로명우편번호 has 430 (33.3%) missing valuesMissing
업태구분명 has 1290 (100.0%) missing valuesMissing
좌표정보(X) has 29 (2.2%) missing valuesMissing
좌표정보(Y) has 29 (2.2%) missing valuesMissing
총층수 has 1059 (82.1%) missing valuesMissing
제작취급품목내용 has 421 (32.6%) missing valuesMissing
시설면적 has 646 (50.1%) missing valuesMissing
지상층수 has 1043 (80.9%) missing valuesMissing
지하층수 has 1064 (82.5%) missing valuesMissing
비상계단여부 has 1290 (100.0%) missing valuesMissing
비상구여부 has 1290 (100.0%) missing valuesMissing
자동환기여부 has 1290 (100.0%) missing valuesMissing
청소년실여부 has 1290 (100.0%) missing valuesMissing
특수조명여부 has 1290 (100.0%) missing valuesMissing
방음시설여부 has 1290 (100.0%) missing valuesMissing
비디오재생기명 has 1290 (100.0%) missing valuesMissing
조명시설유무 has 1290 (100.0%) missing valuesMissing
음향시설여부 has 1290 (100.0%) missing valuesMissing
편의시설여부 has 1290 (100.0%) missing valuesMissing
소방시설여부 has 1290 (100.0%) missing valuesMissing
기존게임업외업종명 has 1290 (100.0%) missing valuesMissing
제공게임물명 has 1290 (100.0%) missing valuesMissing
공연장형태구분명 has 1290 (100.0%) missing valuesMissing
품목명 has 1290 (100.0%) missing valuesMissing
최초등록시점 has 1290 (100.0%) missing valuesMissing
시설면적 is highly skewed (γ1 = 25.33618354)Skewed
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 189 (14.7%) zerosZeros
시설면적 has 118 (9.1%) zerosZeros
지상층수 has 187 (14.5%) zerosZeros
지하층수 has 192 (14.9%) zerosZeros

Reproduction

Analysis started2024-05-11 04:38:16.634497
Analysis finished2024-05-11 04:38:19.562203
Duration2.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3154558.1
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T04:38:19.785163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13130000
median3180000
Q33220000
95-th percentile3220000
Maximum3240000
Range240000
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation75804.443
Coefficient of variation (CV)0.02403013
Kurtosis-0.55480133
Mean3154558.1
Median Absolute Deviation (MAD)40000
Skewness-0.94233402
Sum4.06938 × 109
Variance5.7463135 × 109
MonotonicityNot monotonic
2024-05-11T04:38:20.274183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 326
25.3%
3210000 169
13.1%
3180000 115
 
8.9%
3130000 111
 
8.6%
3020000 75
 
5.8%
3010000 69
 
5.3%
3170000 66
 
5.1%
3160000 64
 
5.0%
3230000 46
 
3.6%
3000000 44
 
3.4%
Other values (15) 205
15.9%
ValueCountFrequency (%)
3000000 44
3.4%
3010000 69
5.3%
3020000 75
5.8%
3030000 39
3.0%
3040000 17
 
1.3%
3050000 7
 
0.5%
3060000 5
 
0.4%
3070000 8
 
0.6%
3080000 6
 
0.5%
3090000 2
 
0.2%
ValueCountFrequency (%)
3240000 10
 
0.8%
3230000 46
 
3.6%
3220000 326
25.3%
3210000 169
13.1%
3200000 16
 
1.2%
3190000 10
 
0.8%
3180000 115
 
8.9%
3170000 66
 
5.1%
3160000 64
 
5.0%
3150000 39
 
3.0%
Distinct421
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2024-05-11T04:38:20.815890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters25800
Distinct characters13
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

Unique209 ?
Unique (%)16.2%

Sample

1st rowCDFF1241112022000001
2nd rowCDFF1241112020000002
3rd rowCDFF1241112023000001
4th rowCDFF1241112022000001
5th rowCDFF1241112023000003
ValueCountFrequency (%)
cdff1241112022000001 17
 
1.3%
cdff1241112021000001 16
 
1.2%
cdff1241112006000001 15
 
1.2%
cdff1241112007000001 15
 
1.2%
cdff1241112015000001 14
 
1.1%
cdff1241112018000001 14
 
1.1%
cdff1241112011000001 14
 
1.1%
cdff1241112020000001 14
 
1.1%
cdff1241112011000002 13
 
1.0%
cdff1241112009000001 13
 
1.0%
Other values (411) 1145
88.8%
2024-05-11T04:38:21.849215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8144
31.6%
1 6407
24.8%
2 3290
12.8%
F 2580
 
10.0%
4 1508
 
5.8%
C 1290
 
5.0%
D 1290
 
5.0%
3 328
 
1.3%
6 234
 
0.9%
9 234
 
0.9%
Other values (3) 495
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20640
80.0%
Uppercase Letter 5160
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8144
39.5%
1 6407
31.0%
2 3290
15.9%
4 1508
 
7.3%
3 328
 
1.6%
6 234
 
1.1%
9 234
 
1.1%
5 192
 
0.9%
7 168
 
0.8%
8 135
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 2580
50.0%
C 1290
25.0%
D 1290
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20640
80.0%
Latin 5160
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8144
39.5%
1 6407
31.0%
2 3290
15.9%
4 1508
 
7.3%
3 328
 
1.6%
6 234
 
1.1%
9 234
 
1.1%
5 192
 
0.9%
7 168
 
0.8%
8 135
 
0.7%
Latin
ValueCountFrequency (%)
F 2580
50.0%
C 1290
25.0%
D 1290
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8144
31.6%
1 6407
24.8%
2 3290
12.8%
F 2580
 
10.0%
4 1508
 
5.8%
C 1290
 
5.0%
D 1290
 
5.0%
3 328
 
1.3%
6 234
 
0.9%
9 234
 
0.9%
Other values (3) 495
 
1.9%
Distinct1101
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum1998-09-29 00:00:00
Maximum2024-04-16 00:00:00
2024-05-11T04:38:22.500745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:38:23.050811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1288 
20090128
 
1
20200217
 
1

Length

Max length8
Median length4
Mean length4.0062016
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1288
99.8%
20090128 1
 
0.1%
20200217 1
 
0.1%

Length

2024-05-11T04:38:23.619289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:24.265404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1288
99.8%
20090128 1
 
0.1%
20200217 1
 
0.1%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
1
972 
3
265 
5
 
46
4
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row1
3rd row1
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 972
75.3%
3 265
 
20.5%
5 46
 
3.6%
4 7
 
0.5%

Length

2024-05-11T04:38:25.337399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:26.034741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 972
75.3%
3 265
 
20.5%
5 46
 
3.6%
4 7
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
영업/정상
972 
폐업
265 
제외/삭제/전출
 
46
취소/말소/만료/정지/중지
 
7

Length

Max length14
Median length5
Mean length4.5395349
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 972
75.3%
폐업 265
 
20.5%
제외/삭제/전출 46
 
3.6%
취소/말소/만료/정지/중지 7
 
0.5%

Length

2024-05-11T04:38:26.550314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:27.062898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 972
75.3%
폐업 265
 
20.5%
제외/삭제/전출 46
 
3.6%
취소/말소/만료/정지/중지 7
 
0.5%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.121705
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T04:38:27.366851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q113
median13
Q313
95-th percentile13
Maximum35
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.3783348
Coefficient of variation (CV)0.39367477
Kurtosis2.4502411
Mean11.121705
Median Absolute Deviation (MAD)0
Skewness-0.62115378
Sum14347
Variance19.169816
MonotonicityNot monotonic
2024-05-11T04:38:27.793549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
13 971
75.3%
3 265
 
20.5%
15 46
 
3.6%
32 4
 
0.3%
31 2
 
0.2%
14 1
 
0.1%
35 1
 
0.1%
ValueCountFrequency (%)
3 265
 
20.5%
13 971
75.3%
14 1
 
0.1%
15 46
 
3.6%
31 2
 
0.2%
32 4
 
0.3%
35 1
 
0.1%
ValueCountFrequency (%)
35 1
 
0.1%
32 4
 
0.3%
31 2
 
0.2%
15 46
 
3.6%
14 1
 
0.1%
13 971
75.3%
3 265
 
20.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
영업중
971 
폐업
265 
전출
 
46
신고취소
 
4
등록취소
 
2
Other values (2)
 
2

Length

Max length4
Median length3
Mean length2.7635659
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 971
75.3%
폐업 265
 
20.5%
전출 46
 
3.6%
신고취소 4
 
0.3%
등록취소 2
 
0.2%
전입 1
 
0.1%
직권말소 1
 
0.1%

Length

2024-05-11T04:38:28.430355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:28.951792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 971
75.3%
폐업 265
 
20.5%
전출 46
 
3.6%
신고취소 4
 
0.3%
등록취소 2
 
0.2%
전입 1
 
0.1%
직권말소 1
 
0.1%

폐업일자
Date

MISSING 

Distinct298
Distinct (%)95.5%
Missing978
Missing (%)75.8%
Memory size10.2 KiB
Minimum2000-11-15 00:00:00
Maximum2024-04-22 00:00:00
2024-05-11T04:38:29.631120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:38:30.125293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

전화번호
Text

MISSING 

Distinct669
Distinct (%)96.7%
Missing598
Missing (%)46.4%
Memory size10.2 KiB
2024-05-11T04:38:30.984174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.251445
Min length8

Characters and Unicode

Total characters7094
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

Unique647 ?
Unique (%)93.5%

Sample

1st row02-597-2342
2nd row02-6032-5270
3rd row02-471-7908
4th row0502-1925-5710
5th row02-416-0376
ValueCountFrequency (%)
02-3490-9300 3
 
0.4%
02 3
 
0.4%
02-979-2210 2
 
0.3%
02-517-9192 2
 
0.3%
2279-7712 2
 
0.3%
070-8670-2618 2
 
0.3%
02-565-1015 2
 
0.3%
02-3444-0105 2
 
0.3%
02-2257-7760 2
 
0.3%
02-2264-8845 2
 
0.3%
Other values (663) 676
96.8%
2024-05-11T04:38:32.685336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1062
15.0%
- 1047
14.8%
2 916
12.9%
5 610
8.6%
7 597
8.4%
1 551
7.8%
3 529
7.5%
4 515
7.3%
6 480
6.8%
8 445
6.3%
Other values (5) 342
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6033
85.0%
Dash Punctuation 1047
 
14.8%
Space Separator 7
 
0.1%
Close Punctuation 5
 
0.1%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1062
17.6%
2 916
15.2%
5 610
10.1%
7 597
9.9%
1 551
9.1%
3 529
8.8%
4 515
8.5%
6 480
8.0%
8 445
7.4%
9 328
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 1047
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7094
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1062
15.0%
- 1047
14.8%
2 916
12.9%
5 610
8.6%
7 597
8.4%
1 551
7.8%
3 529
7.5%
4 515
7.3%
6 480
6.8%
8 445
6.3%
Other values (5) 342
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7094
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1062
15.0%
- 1047
14.8%
2 916
12.9%
5 610
8.6%
7 597
8.4%
1 551
7.8%
3 529
7.5%
4 515
7.3%
6 480
6.8%
8 445
6.3%
Other values (5) 342
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct218
Distinct (%)69.4%
Missing976
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean138653.67
Minimum100042
Maximum158860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T04:38:33.222143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100042
5-th percentile110492.5
Q1135921.75
median137888.5
Q3140882
95-th percentile157867.25
Maximum158860
Range58818
Interquartile range (IQR)4960.25

Descriptive statistics

Standard deviation12036.575
Coefficient of variation (CV)0.086810361
Kurtosis2.3283364
Mean138653.67
Median Absolute Deviation (MAD)2371.5
Skewness-1.0841076
Sum43537251
Variance1.4487913 × 108
MonotonicityNot monotonic
2024-05-11T04:38:33.765958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
137890 6
 
0.5%
140847 5
 
0.4%
137806 5
 
0.4%
137878 5
 
0.4%
137876 5
 
0.4%
140880 5
 
0.4%
140878 5
 
0.4%
157030 4
 
0.3%
135517 4
 
0.3%
140090 4
 
0.3%
Other values (208) 266
 
20.6%
(Missing) 976
75.7%
ValueCountFrequency (%)
100042 1
0.1%
100240 1
0.1%
100250 1
0.1%
100272 2
0.2%
100273 1
0.1%
100392 1
0.1%
100440 1
0.1%
100827 1
0.1%
100851 1
0.1%
110040 1
0.1%
ValueCountFrequency (%)
158860 1
 
0.1%
158857 1
 
0.1%
158856 1
 
0.1%
158819 1
 
0.1%
158806 1
 
0.1%
158070 1
 
0.1%
158050 4
0.3%
157928 1
 
0.1%
157897 1
 
0.1%
157896 1
 
0.1%
Distinct1116
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2024-05-11T04:38:34.655041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length28.24186
Min length13

Characters and Unicode

Total characters36432
Distinct characters434
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1004 ?
Unique (%)77.8%

Sample

1st row서울특별시 금천구 가산동 ***-** 대륭테크노타운**차
2nd row서울특별시 구로구 구로동 ***-* 삼성IT밸리 ***,***호
3rd row서울특별시 은평구 대조동 ***-** ***호
4th row서울특별시 중랑구 면목동 **** 면목현대아파트
5th row서울특별시 송파구 문정동 ***-* 문정에스케이브이원지엘메트로시티
ValueCountFrequency (%)
서울특별시 1290
19.1%
번지 869
 
12.9%
418
 
6.2%
328
 
4.9%
강남구 325
 
4.8%
226
 
3.3%
서초구 169
 
2.5%
영등포구 115
 
1.7%
마포구 110
 
1.6%
논현동 96
 
1.4%
Other values (1016) 2810
41.6%
2024-05-11T04:38:35.892011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 7017
19.3%
6247
17.1%
1652
 
4.5%
1433
 
3.9%
1377
 
3.8%
1318
 
3.6%
1310
 
3.6%
1290
 
3.5%
1290
 
3.5%
- 1054
 
2.9%
Other values (424) 12444
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21821
59.9%
Other Punctuation 7041
 
19.3%
Space Separator 6247
 
17.1%
Dash Punctuation 1054
 
2.9%
Uppercase Letter 189
 
0.5%
Decimal Number 30
 
0.1%
Lowercase Letter 17
 
< 0.1%
Close Punctuation 12
 
< 0.1%
Open Punctuation 12
 
< 0.1%
Letter Number 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1652
 
7.6%
1433
 
6.6%
1377
 
6.3%
1318
 
6.0%
1310
 
6.0%
1290
 
5.9%
1290
 
5.9%
955
 
4.4%
874
 
4.0%
428
 
2.0%
Other values (370) 9894
45.3%
Uppercase Letter
ValueCountFrequency (%)
C 29
15.3%
B 24
12.7%
M 19
10.1%
D 16
 
8.5%
I 15
 
7.9%
A 10
 
5.3%
T 10
 
5.3%
O 8
 
4.2%
R 8
 
4.2%
K 8
 
4.2%
Other values (13) 42
22.2%
Lowercase Letter
ValueCountFrequency (%)
k 4
23.5%
o 3
17.6%
t 3
17.6%
r 1
 
5.9%
e 1
 
5.9%
w 1
 
5.9%
i 1
 
5.9%
y 1
 
5.9%
n 1
 
5.9%
s 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 8
26.7%
6 5
16.7%
8 5
16.7%
1 4
13.3%
9 2
 
6.7%
5 2
 
6.7%
0 2
 
6.7%
3 1
 
3.3%
7 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
* 7017
99.7%
, 21
 
0.3%
? 1
 
< 0.1%
& 1
 
< 0.1%
. 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
4
57.1%
3
42.9%
Space Separator
ValueCountFrequency (%)
6247
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1054
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21821
59.9%
Common 14398
39.5%
Latin 213
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1652
 
7.6%
1433
 
6.6%
1377
 
6.3%
1318
 
6.0%
1310
 
6.0%
1290
 
5.9%
1290
 
5.9%
955
 
4.4%
874
 
4.0%
428
 
2.0%
Other values (370) 9894
45.3%
Latin
ValueCountFrequency (%)
C 29
13.6%
B 24
 
11.3%
M 19
 
8.9%
D 16
 
7.5%
I 15
 
7.0%
A 10
 
4.7%
T 10
 
4.7%
O 8
 
3.8%
R 8
 
3.8%
K 8
 
3.8%
Other values (25) 66
31.0%
Common
ValueCountFrequency (%)
* 7017
48.7%
6247
43.4%
- 1054
 
7.3%
, 21
 
0.1%
) 12
 
0.1%
( 12
 
0.1%
2 8
 
0.1%
6 5
 
< 0.1%
8 5
 
< 0.1%
1 4
 
< 0.1%
Other values (9) 13
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21821
59.9%
ASCII 14604
40.1%
Number Forms 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 7017
48.0%
6247
42.8%
- 1054
 
7.2%
C 29
 
0.2%
B 24
 
0.2%
, 21
 
0.1%
M 19
 
0.1%
D 16
 
0.1%
I 15
 
0.1%
) 12
 
0.1%
Other values (42) 150
 
1.0%
Hangul
ValueCountFrequency (%)
1652
 
7.6%
1433
 
6.6%
1377
 
6.3%
1318
 
6.0%
1310
 
6.0%
1290
 
5.9%
1290
 
5.9%
955
 
4.4%
874
 
4.0%
428
 
2.0%
Other values (370) 9894
45.3%
Number Forms
ValueCountFrequency (%)
4
57.1%
3
42.9%

도로명주소
Text

MISSING 

Distinct1187
Distinct (%)94.5%
Missing34
Missing (%)2.6%
Memory size10.2 KiB
2024-05-11T04:38:36.634425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length52.5
Mean length35.968153
Min length22

Characters and Unicode

Total characters45176
Distinct characters476
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1129 ?
Unique (%)89.9%

Sample

1st row서울특별시 금천구 가산디지털*로 **, 대륭테크노타운**차 ****-*호 (가산동)
2nd row서울특별시 구로구 디지털로**길 **, 삼성IT밸리 ***, ***호 (구로동)
3rd row서울특별시 은평구 연서로**길 *, ***호 (대조동)
4th row서울특별시 중랑구 용마산로 ***, ***동 ****호 (면목동, 면목현대아파트)
5th row서울특별시 송파구 법원로 ***, 문정에스케이브이원지엘메트로시티 B동 G***호 (문정동)
ValueCountFrequency (%)
1277
 
15.7%
서울특별시 1256
 
15.4%
536
 
6.6%
441
 
5.4%
강남구 324
 
4.0%
서초구 164
 
2.0%
영등포구 114
 
1.4%
마포구 108
 
1.3%
논현동 82
 
1.0%
금천구 66
 
0.8%
Other values (1536) 3790
46.5%
2024-05-11T04:38:37.977643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 7398
 
16.4%
7302
 
16.2%
1674
 
3.7%
, 1502
 
3.3%
1493
 
3.3%
1480
 
3.3%
1420
 
3.1%
1287
 
2.8%
1280
 
2.8%
( 1271
 
2.8%
Other values (466) 19069
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25961
57.5%
Other Punctuation 8907
 
19.7%
Space Separator 7302
 
16.2%
Open Punctuation 1271
 
2.8%
Close Punctuation 1271
 
2.8%
Uppercase Letter 228
 
0.5%
Dash Punctuation 158
 
0.3%
Decimal Number 36
 
0.1%
Lowercase Letter 29
 
0.1%
Letter Number 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1674
 
6.4%
1493
 
5.8%
1480
 
5.7%
1420
 
5.5%
1287
 
5.0%
1280
 
4.9%
1256
 
4.8%
1256
 
4.8%
642
 
2.5%
626
 
2.4%
Other values (408) 13547
52.2%
Uppercase Letter
ValueCountFrequency (%)
B 41
18.0%
C 31
13.6%
I 19
8.3%
A 17
 
7.5%
M 17
 
7.5%
D 15
 
6.6%
T 13
 
5.7%
S 11
 
4.8%
K 9
 
3.9%
R 8
 
3.5%
Other values (13) 47
20.6%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.2%
r 4
13.8%
o 3
10.3%
a 2
 
6.9%
l 2
 
6.9%
k 2
 
6.9%
t 2
 
6.9%
c 2
 
6.9%
n 2
 
6.9%
y 1
 
3.4%
Other values (4) 4
13.8%
Decimal Number
ValueCountFrequency (%)
1 8
22.2%
2 7
19.4%
5 5
13.9%
3 5
13.9%
6 4
11.1%
0 3
 
8.3%
9 2
 
5.6%
8 1
 
2.8%
7 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
* 7398
83.1%
, 1502
 
16.9%
. 5
 
0.1%
? 1
 
< 0.1%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
5
62.5%
3
37.5%
Space Separator
ValueCountFrequency (%)
7302
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1271
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 158
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25961
57.5%
Common 18950
41.9%
Latin 265
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1674
 
6.4%
1493
 
5.8%
1480
 
5.7%
1420
 
5.5%
1287
 
5.0%
1280
 
4.9%
1256
 
4.8%
1256
 
4.8%
642
 
2.5%
626
 
2.4%
Other values (408) 13547
52.2%
Latin
ValueCountFrequency (%)
B 41
15.5%
C 31
 
11.7%
I 19
 
7.2%
A 17
 
6.4%
M 17
 
6.4%
D 15
 
5.7%
T 13
 
4.9%
S 11
 
4.2%
K 9
 
3.4%
R 8
 
3.0%
Other values (29) 84
31.7%
Common
ValueCountFrequency (%)
* 7398
39.0%
7302
38.5%
, 1502
 
7.9%
( 1271
 
6.7%
) 1271
 
6.7%
- 158
 
0.8%
1 8
 
< 0.1%
2 7
 
< 0.1%
. 5
 
< 0.1%
~ 5
 
< 0.1%
Other values (9) 23
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25961
57.5%
ASCII 19207
42.5%
Number Forms 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 7398
38.5%
7302
38.0%
, 1502
 
7.8%
( 1271
 
6.6%
) 1271
 
6.6%
- 158
 
0.8%
B 41
 
0.2%
C 31
 
0.2%
I 19
 
0.1%
A 17
 
0.1%
Other values (46) 197
 
1.0%
Hangul
ValueCountFrequency (%)
1674
 
6.4%
1493
 
5.8%
1480
 
5.7%
1420
 
5.5%
1287
 
5.0%
1280
 
4.9%
1256
 
4.8%
1256
 
4.8%
642
 
2.5%
626
 
2.4%
Other values (408) 13547
52.2%
Number Forms
ValueCountFrequency (%)
5
62.5%
3
37.5%

도로명우편번호
Text

MISSING 

Distinct520
Distinct (%)60.5%
Missing430
Missing (%)33.3%
Memory size10.2 KiB
2024-05-11T04:38:38.809126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0383721
Min length5

Characters and Unicode

Total characters4333
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

Unique336 ?
Unique (%)39.1%

Sample

1st row08589
2nd row08380
3rd row03387
4th row02258
5th row05854
ValueCountFrequency (%)
03925 13
 
1.5%
08381 11
 
1.3%
08390 8
 
0.9%
08589 7
 
0.8%
06049 7
 
0.8%
07238 7
 
0.8%
08389 7
 
0.8%
08380 6
 
0.7%
03908 6
 
0.7%
04709 6
 
0.7%
Other values (510) 782
90.9%
2024-05-11T04:38:40.548109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1167
26.9%
6 479
11.1%
3 408
 
9.4%
5 358
 
8.3%
8 346
 
8.0%
7 333
 
7.7%
4 331
 
7.6%
1 320
 
7.4%
2 308
 
7.1%
9 282
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4332
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1167
26.9%
6 479
11.1%
3 408
 
9.4%
5 358
 
8.3%
8 346
 
8.0%
7 333
 
7.7%
4 331
 
7.6%
1 320
 
7.4%
2 308
 
7.1%
9 282
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4333
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1167
26.9%
6 479
11.1%
3 408
 
9.4%
5 358
 
8.3%
8 346
 
8.0%
7 333
 
7.7%
4 331
 
7.6%
1 320
 
7.4%
2 308
 
7.1%
9 282
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4333
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1167
26.9%
6 479
11.1%
3 408
 
9.4%
5 358
 
8.3%
8 346
 
8.0%
7 333
 
7.7%
4 331
 
7.6%
1 320
 
7.4%
2 308
 
7.1%
9 282
 
6.5%
Distinct1223
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2024-05-11T04:38:41.196287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length28
Mean length9.1062016
Min length1

Characters and Unicode

Total characters11747
Distinct characters567
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1162 ?
Unique (%)90.1%

Sample

1st row㈜메이크앤무브
2nd row(주)넷마루
3rd row㈜메이크앤무브
4th row베리픽쳐스
5th row(주)두리컴미디어
ValueCountFrequency (%)
주식회사 235
 
14.3%
미디어 12
 
0.7%
5
 
0.3%
유한회사 4
 
0.2%
영화사안다미로 4
 
0.2%
엔터테인먼트 4
 
0.2%
코리아 3
 
0.2%
co 3
 
0.2%
media 3
 
0.2%
tv 3
 
0.2%
Other values (1295) 1370
83.2%
2024-05-11T04:38:42.760806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
986
 
8.4%
) 777
 
6.6%
( 771
 
6.6%
457
 
3.9%
398
 
3.4%
356
 
3.0%
302
 
2.6%
298
 
2.5%
261
 
2.2%
248
 
2.1%
Other values (557) 6893
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9396
80.0%
Close Punctuation 777
 
6.6%
Open Punctuation 771
 
6.6%
Space Separator 356
 
3.0%
Uppercase Letter 228
 
1.9%
Lowercase Letter 168
 
1.4%
Decimal Number 18
 
0.2%
Other Punctuation 17
 
0.1%
Dash Punctuation 12
 
0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
986
 
10.5%
457
 
4.9%
398
 
4.2%
302
 
3.2%
298
 
3.2%
261
 
2.8%
248
 
2.6%
218
 
2.3%
210
 
2.2%
198
 
2.1%
Other values (496) 5820
61.9%
Uppercase Letter
ValueCountFrequency (%)
E 26
 
11.4%
M 16
 
7.0%
D 15
 
6.6%
A 15
 
6.6%
C 13
 
5.7%
I 13
 
5.7%
R 12
 
5.3%
T 12
 
5.3%
L 12
 
5.3%
O 11
 
4.8%
Other values (14) 83
36.4%
Lowercase Letter
ValueCountFrequency (%)
t 20
11.9%
i 20
11.9%
o 19
11.3%
e 17
10.1%
n 15
8.9%
r 12
 
7.1%
d 11
 
6.5%
u 8
 
4.8%
a 8
 
4.8%
c 8
 
4.8%
Other values (11) 30
17.9%
Decimal Number
ValueCountFrequency (%)
2 5
27.8%
1 4
22.2%
0 4
22.2%
3 2
 
11.1%
9 1
 
5.6%
4 1
 
5.6%
7 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 10
58.8%
, 5
29.4%
& 1
 
5.9%
: 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 777
100.0%
Open Punctuation
ValueCountFrequency (%)
( 771
100.0%
Space Separator
ValueCountFrequency (%)
356
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9400
80.0%
Common 1951
 
16.6%
Latin 396
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
986
 
10.5%
457
 
4.9%
398
 
4.2%
302
 
3.2%
298
 
3.2%
261
 
2.8%
248
 
2.6%
218
 
2.3%
210
 
2.2%
198
 
2.1%
Other values (497) 5824
62.0%
Latin
ValueCountFrequency (%)
E 26
 
6.6%
t 20
 
5.1%
i 20
 
5.1%
o 19
 
4.8%
e 17
 
4.3%
M 16
 
4.0%
D 15
 
3.8%
n 15
 
3.8%
A 15
 
3.8%
C 13
 
3.3%
Other values (35) 220
55.6%
Common
ValueCountFrequency (%)
) 777
39.8%
( 771
39.5%
356
18.2%
- 12
 
0.6%
. 10
 
0.5%
, 5
 
0.3%
2 5
 
0.3%
1 4
 
0.2%
0 4
 
0.2%
3 2
 
0.1%
Other values (5) 5
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9395
80.0%
ASCII 2347
 
20.0%
None 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
986
 
10.5%
457
 
4.9%
398
 
4.2%
302
 
3.2%
298
 
3.2%
261
 
2.8%
248
 
2.6%
218
 
2.3%
210
 
2.2%
198
 
2.1%
Other values (495) 5819
61.9%
ASCII
ValueCountFrequency (%)
) 777
33.1%
( 771
32.9%
356
15.2%
E 26
 
1.1%
t 20
 
0.9%
i 20
 
0.9%
o 19
 
0.8%
e 17
 
0.7%
M 16
 
0.7%
D 15
 
0.6%
Other values (50) 310
 
13.2%
None
ValueCountFrequency (%)
4
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

최종수정일자
Date

UNIQUE 

Distinct1290
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum2006-02-09 11:31:46
Maximum2024-04-30 09:44:08
2024-05-11T04:38:43.194605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:38:43.665957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
I
988 
U
302 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 988
76.6%
U 302
 
23.4%

Length

2024-05-11T04:38:44.097282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:44.422907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 988
76.6%
u 302
 
23.4%
Distinct426
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T04:38:44.915422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:38:45.417457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1059
Distinct (%)84.0%
Missing29
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean198518.75
Minimum184290.89
Maximum214947.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T04:38:45.918901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184290.89
5-th percentile189127.98
Q1192671.93
median200072.38
Q3203163.86
95-th percentile207918.32
Maximum214947.53
Range30656.639
Interquartile range (IQR)10491.928

Descriptive statistics

Standard deviation6232.3706
Coefficient of variation (CV)0.031394367
Kurtosis-0.96338536
Mean198518.75
Median Absolute Deviation (MAD)4150.5148
Skewness-0.18006767
Sum2.5033215 × 108
Variance38842443
MonotonicityNot monotonic
2024-05-11T04:38:46.486269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190250.875091908 7
 
0.5%
190528.450104488 6
 
0.5%
190555.768991595 5
 
0.4%
189538.020935968 5
 
0.4%
196678.783699399 5
 
0.4%
190335.496775957 5
 
0.4%
192959.271161366 4
 
0.3%
190415.331312828 4
 
0.3%
204437.7 4
 
0.3%
196727.535753619 4
 
0.3%
Other values (1049) 1212
94.0%
(Missing) 29
 
2.2%
ValueCountFrequency (%)
184290.893400642 1
0.1%
184655.264279055 1
0.1%
184685.391570804 1
0.1%
184733.0 1
0.1%
185523.730351846 1
0.1%
185648.451580562 1
0.1%
185826.16159447 1
0.1%
185851.053632398 1
0.1%
185875.875759586 1
0.1%
185926.715920448 1
0.1%
ValueCountFrequency (%)
214947.532397575 1
 
0.1%
214202.035389784 1
 
0.1%
212028.322974846 1
 
0.1%
211986.297245596 1
 
0.1%
211896.331971303 2
0.2%
211834.106255522 1
 
0.1%
211680.853759912 2
0.2%
211255.759612505 1
 
0.1%
211154.18803842 1
 
0.1%
211053.119518 3
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1059
Distinct (%)84.0%
Missing29
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean446756.56
Minimum439379.27
Maximum463579.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T04:38:47.124631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439379.27
5-th percentile441664.15
Q1443714.18
median446256.38
Q3449326.56
95-th percentile453090.15
Maximum463579.87
Range24200.599
Interquartile range (IQR)5612.3846

Descriptive statistics

Standard deviation3836.2839
Coefficient of variation (CV)0.0085869671
Kurtosis0.68287511
Mean446756.56
Median Absolute Deviation (MAD)2773.2321
Skewness0.76445014
Sum5.6336002 × 108
Variance14717074
MonotonicityNot monotonic
2024-05-11T04:38:47.759857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453017.867202928 7
 
0.5%
442352.770364667 6
 
0.5%
446698.814322782 5
 
0.4%
441982.427934953 5
 
0.4%
447045.206052439 5
 
0.4%
452758.642764785 5
 
0.4%
447637.656082358 4
 
0.3%
442596.203831363 4
 
0.3%
446211.640000001 4
 
0.3%
447868.128308607 4
 
0.3%
Other values (1049) 1212
94.0%
(Missing) 29
 
2.2%
ValueCountFrequency (%)
439379.272866954 1
0.1%
439885.941303087 1
0.1%
439905.009975417 1
0.1%
440339.08607943 1
0.1%
440372.599505029 1
0.1%
440416.170972838 1
0.1%
440513.410373111 1
0.1%
440609.209534256 1
0.1%
440693.311634096 1
0.1%
440742.223479611 1
0.1%
ValueCountFrequency (%)
463579.872056086 1
0.1%
462947.98386823 1
0.1%
462071.049647988 1
0.1%
461730.955043154 1
0.1%
461292.646459301 1
0.1%
460007.527285804 1
0.1%
459845.52075532 1
0.1%
459642.405730108 1
0.1%
459411.940883021 1
0.1%
459033.484171083 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
비디오물배급업
1026 
<NA>
264 

Length

Max length7
Median length7
Mean length6.3860465
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물배급업 1026
79.5%
<NA> 264
 
20.5%

Length

2024-05-11T04:38:48.365573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:48.797866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물배급업 1026
79.5%
na 264
 
20.5%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
956 
유통관련업
334 

Length

Max length5
Median length4
Mean length4.2589147
Min length4

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> 956
74.1%
유통관련업 334
 
25.9%

Length

2024-05-11T04:38:49.415970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:50.079838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 956
74.1%
유통관련업 334
 
25.9%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)8.7%
Missing1059
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean2.3290043
Minimum0
Maximum30
Zeros189
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T04:38:50.551831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.6848371
Coefficient of variation (CV)2.4408873
Kurtosis5.8900682
Mean2.3290043
Median Absolute Deviation (MAD)0
Skewness2.5542261
Sum538
Variance32.317372
MonotonicityNot monotonic
2024-05-11T04:38:51.032926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 189
 
14.7%
14 6
 
0.5%
6 4
 
0.3%
10 4
 
0.3%
5 3
 
0.2%
23 3
 
0.2%
11 2
 
0.2%
12 2
 
0.2%
18 2
 
0.2%
9 2
 
0.2%
Other values (10) 14
 
1.1%
(Missing) 1059
82.1%
ValueCountFrequency (%)
0 189
14.7%
1 1
 
0.1%
3 2
 
0.2%
5 3
 
0.2%
6 4
 
0.3%
8 1
 
0.1%
9 2
 
0.2%
10 4
 
0.3%
11 2
 
0.2%
12 2
 
0.2%
ValueCountFrequency (%)
30 1
 
0.1%
23 3
0.2%
22 2
 
0.2%
20 2
 
0.2%
19 1
 
0.1%
18 2
 
0.2%
17 1
 
0.1%
15 1
 
0.1%
14 6
0.5%
13 2
 
0.2%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1269 
기타
 
15
주택가주변
 
3
유흥업소밀집지역
 
2
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.9883721
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> 1269
98.4%
기타 15
 
1.2%
주택가주변 3
 
0.2%
유흥업소밀집지역 2
 
0.2%
학교정화(상대) 1
 
0.1%

Length

2024-05-11T04:38:51.618229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:51.977869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1269
98.4%
기타 15
 
1.2%
주택가주변 3
 
0.2%
유흥업소밀집지역 2
 
0.2%
학교정화(상대 1
 
0.1%
Distinct318
Distinct (%)36.6%
Missing421
Missing (%)32.6%
Memory size10.2 KiB
2024-05-11T04:38:52.639849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length49
Mean length7.2117376
Min length2

Characters and Unicode

Total characters6267
Distinct characters247
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

Unique283 ?
Unique (%)32.6%

Sample

1st row비디오물
2nd row독립영화, 다큐 등
3rd row비디오물
4th row다큐, 영화, 예능, 광고, 홍보 외 각종 영상물 배급
5th row영화DVD, 드라마DVD 등
ValueCountFrequency (%)
비디오물 442
33.3%
영상물 62
 
4.7%
39
 
2.9%
비디오물배급업 35
 
2.6%
31
 
2.3%
dvd 28
 
2.1%
영화 28
 
2.1%
배급 27
 
2.0%
비디오 25
 
1.9%
광고 15
 
1.1%
Other values (345) 595
44.8%
2024-05-11T04:38:54.561106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
680
 
10.9%
588
 
9.4%
582
 
9.3%
580
 
9.3%
460
 
7.3%
339
 
5.4%
274
 
4.4%
, 273
 
4.4%
D 147
 
2.3%
V 88
 
1.4%
Other values (237) 2256
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5044
80.5%
Space Separator 460
 
7.3%
Uppercase Letter 339
 
5.4%
Other Punctuation 300
 
4.8%
Decimal Number 45
 
0.7%
Open Punctuation 31
 
0.5%
Close Punctuation 31
 
0.5%
Lowercase Letter 16
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
680
 
13.5%
588
 
11.7%
582
 
11.5%
580
 
11.5%
339
 
6.7%
274
 
5.4%
83
 
1.6%
81
 
1.6%
70
 
1.4%
64
 
1.3%
Other values (195) 1703
33.8%
Uppercase Letter
ValueCountFrequency (%)
D 147
43.4%
V 88
26.0%
C 20
 
5.9%
T 14
 
4.1%
R 11
 
3.2%
P 10
 
2.9%
O 9
 
2.7%
I 7
 
2.1%
S 6
 
1.8%
F 4
 
1.2%
Other values (9) 23
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
d 6
37.5%
v 3
18.8%
c 2
 
12.5%
y 1
 
6.2%
a 1
 
6.2%
r 1
 
6.2%
u 1
 
6.2%
l 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
3 18
40.0%
0 7
 
15.6%
2 7
 
15.6%
4 5
 
11.1%
6 4
 
8.9%
1 3
 
6.7%
8 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 273
91.0%
. 11
 
3.7%
/ 10
 
3.3%
? 6
 
2.0%
Space Separator
ValueCountFrequency (%)
460
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5044
80.5%
Common 868
 
13.9%
Latin 355
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
680
 
13.5%
588
 
11.7%
582
 
11.5%
580
 
11.5%
339
 
6.7%
274
 
5.4%
83
 
1.6%
81
 
1.6%
70
 
1.4%
64
 
1.3%
Other values (195) 1703
33.8%
Latin
ValueCountFrequency (%)
D 147
41.4%
V 88
24.8%
C 20
 
5.6%
T 14
 
3.9%
R 11
 
3.1%
P 10
 
2.8%
O 9
 
2.5%
I 7
 
2.0%
S 6
 
1.7%
d 6
 
1.7%
Other values (17) 37
 
10.4%
Common
ValueCountFrequency (%)
460
53.0%
, 273
31.5%
( 31
 
3.6%
) 31
 
3.6%
3 18
 
2.1%
. 11
 
1.3%
/ 10
 
1.2%
0 7
 
0.8%
2 7
 
0.8%
? 6
 
0.7%
Other values (5) 14
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5043
80.5%
ASCII 1223
 
19.5%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
680
 
13.5%
588
 
11.7%
582
 
11.5%
580
 
11.5%
339
 
6.7%
274
 
5.4%
83
 
1.6%
81
 
1.6%
70
 
1.4%
64
 
1.3%
Other values (194) 1702
33.7%
ASCII
ValueCountFrequency (%)
460
37.6%
, 273
22.3%
D 147
 
12.0%
V 88
 
7.2%
( 31
 
2.5%
) 31
 
2.5%
C 20
 
1.6%
3 18
 
1.5%
T 14
 
1.1%
R 11
 
0.9%
Other values (32) 130
 
10.6%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

시설면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct396
Distinct (%)61.5%
Missing646
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean513.5487
Minimum0
Maximum247577
Zeros118
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T04:38:55.228641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.3
median50
Q3137.435
95-th percentile468.473
Maximum247577
Range247577
Interquartile range (IQR)134.135

Descriptive statistics

Standard deviation9756.0806
Coefficient of variation (CV)18.997382
Kurtosis642.60168
Mean513.5487
Median Absolute Deviation (MAD)50
Skewness25.336184
Sum330725.36
Variance95181109
MonotonicityNot monotonic
2024-05-11T04:38:55.882422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 118
 
9.1%
1.0 35
 
2.7%
10.0 16
 
1.2%
50.0 6
 
0.5%
20.0 6
 
0.5%
30.0 5
 
0.4%
15.0 5
 
0.4%
33.0 5
 
0.4%
3.3 5
 
0.4%
132.0 4
 
0.3%
Other values (386) 439
34.0%
(Missing) 646
50.1%
ValueCountFrequency (%)
0.0 118
9.1%
1.0 35
 
2.7%
1.44 2
 
0.2%
1.82 1
 
0.1%
2.5 1
 
0.1%
3.0 1
 
0.1%
3.03 1
 
0.1%
3.3 5
 
0.4%
4.0 1
 
0.1%
4.65 2
 
0.2%
ValueCountFrequency (%)
247577.0 1
0.1%
4328.15 1
0.1%
3901.0 1
0.1%
3152.0 1
0.1%
2355.2 1
0.1%
2150.67 1
0.1%
1219.09 1
0.1%
975.21 1
0.1%
969.0 1
0.1%
853.65 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)7.7%
Missing1043
Missing (%)80.9%
Infinite0
Infinite (%)0.0%
Mean1.7651822
Minimum0
Maximum23
Zeros187
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T04:38:56.437343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.0496816
Coefficient of variation (CV)2.2942004
Kurtosis8.3240822
Mean1.7651822
Median Absolute Deviation (MAD)0
Skewness2.8380958
Sum436
Variance16.399921
MonotonicityNot monotonic
2024-05-11T04:38:56.949273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 187
 
14.5%
4 10
 
0.8%
3 9
 
0.7%
5 7
 
0.5%
6 4
 
0.3%
10 4
 
0.3%
7 4
 
0.3%
2 4
 
0.3%
14 3
 
0.2%
11 2
 
0.2%
Other values (9) 13
 
1.0%
(Missing) 1043
80.9%
ValueCountFrequency (%)
0 187
14.5%
1 2
 
0.2%
2 4
 
0.3%
3 9
 
0.7%
4 10
 
0.8%
5 7
 
0.5%
6 4
 
0.3%
7 4
 
0.3%
8 2
 
0.2%
10 4
 
0.3%
ValueCountFrequency (%)
23 1
 
0.1%
20 2
0.2%
18 1
 
0.1%
16 1
 
0.1%
15 2
0.2%
14 3
0.2%
13 1
 
0.1%
12 1
 
0.1%
11 2
0.2%
10 4
0.3%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.5%
Missing1064
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean0.35840708
Minimum0
Maximum14
Zeros192
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2024-05-11T04:38:57.407136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2507225
Coefficient of variation (CV)3.4896702
Kurtosis65.427082
Mean0.35840708
Median Absolute Deviation (MAD)0
Skewness6.9264563
Sum81
Variance1.5643068
MonotonicityNot monotonic
2024-05-11T04:38:57.869000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 192
 
14.9%
2 13
 
1.0%
1 13
 
1.0%
3 3
 
0.2%
4 2
 
0.2%
5 1
 
0.1%
6 1
 
0.1%
14 1
 
0.1%
(Missing) 1064
82.5%
ValueCountFrequency (%)
0 192
14.9%
1 13
 
1.0%
2 13
 
1.0%
3 3
 
0.2%
4 2
 
0.2%
5 1
 
0.1%
6 1
 
0.1%
14 1
 
0.1%
ValueCountFrequency (%)
14 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
4 2
 
0.2%
3 3
 
0.2%
2 13
 
1.0%
1 13
 
1.0%
0 192
14.9%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1261 
근린생활시설
 
14
사무실
 
12
아파트
 
1
교육연구시설
 
1

Length

Max length6
Median length4
Mean length4.0116279
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1261
97.8%
근린생활시설 14
 
1.1%
사무실 12
 
0.9%
아파트 1
 
0.1%
교육연구시설 1
 
0.1%
기타 1
 
0.1%

Length

2024-05-11T04:38:58.740242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:38:59.390132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1261
97.8%
근린생활시설 14
 
1.1%
사무실 12
 
0.9%
아파트 1
 
0.1%
교육연구시설 1
 
0.1%
기타 1
 
0.1%

통로너비
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1096 
0
194 

Length

Max length4
Median length4
Mean length3.5488372
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> 1096
85.0%
0 194
 
15.0%

Length

2024-05-11T04:38:59.895899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:00.477043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1096
85.0%
0 194
 
15.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1096 
0
194 

Length

Max length4
Median length4
Mean length3.5488372
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> 1096
85.0%
0 194
 
15.0%

Length

2024-05-11T04:39:01.201708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:01.636879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1096
85.0%
0 194
 
15.0%

노래방실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1096 
0
194 

Length

Max length4
Median length4
Mean length3.5488372
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> 1096
85.0%
0 194
 
15.0%

Length

2024-05-11T04:39:02.207883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:02.760089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1096
85.0%
0 194
 
15.0%

청소년실수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1096 
0
194 

Length

Max length4
Median length4
Mean length3.5488372
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> 1096
85.0%
0 194
 
15.0%

Length

2024-05-11T04:39:03.322536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:03.691131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1096
85.0%
0 194
 
15.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1096 
0
194 

Length

Max length4
Median length4
Mean length3.5488372
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> 1096
85.0%
0 194
 
15.0%

Length

2024-05-11T04:39:04.051579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:04.473798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1096
85.0%
0 194
 
15.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1290
Missing (%)100.0%
Memory size11.5 KiB

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1255 
준공업지역
 
12
일반주거지역
 
8
주거지역
 
5
준주거지역
 
3
Other values (4)
 
7

Length

Max length6
Median length4
Mean length4.0333333
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1255
97.3%
준공업지역 12
 
0.9%
일반주거지역 8
 
0.6%
주거지역 5
 
0.4%
준주거지역 3
 
0.2%
일반상업지역 3
 
0.2%
일반공업지역 2
 
0.2%
중심상업지역 1
 
0.1%
상업지역 1
 
0.1%

Length

2024-05-11T04:39:04.992303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:39:05.522875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1255
97.3%
준공업지역 12
 
0.9%
일반주거지역 8
 
0.6%
주거지역 5
 
0.4%
준주거지역 3
 
0.2%
일반상업지역 3
 
0.2%
일반공업지역 2
 
0.2%
중심상업지역 1
 
0.1%
상업지역 1
 
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03170000CDFF12411120220000012022-01-11<NA>5제외/삭제/전출15전출2023-03-02<NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-** 대륭테크노타운**차서울특별시 금천구 가산디지털*로 **, 대륭테크노타운**차 ****-*호 (가산동)08589㈜메이크앤무브2023-03-02 17:12:32U2022-12-03 00:04:00.0<NA>189504.258704441390.73856<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>
13160000CDFF12411120200000022020-07-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-597-2342<NA><NA>서울특별시 구로구 구로동 ***-* 삼성IT밸리 ***,***호서울특별시 구로구 디지털로**길 **, 삼성IT밸리 ***, ***호 (구로동)08380(주)넷마루2023-03-14 17:01:15U2022-12-02 23:06:00.0<NA>190612.779366442662.421914<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>
23110000CDFF12411120230000012022-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6032-5270<NA><NA>서울특별시 은평구 대조동 ***-** ***호서울특별시 은평구 연서로**길 *, ***호 (대조동)03387㈜메이크앤무브2023-03-06 16:17:41U2022-12-03 00:08:00.0<NA>192738.984468456997.835873<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>
33060000CDFF12411120220000012022-10-31<NA>3폐업3폐업2023-01-18<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 **** 면목현대아파트서울특별시 중랑구 용마산로 ***, ***동 ****호 (면목동, 면목현대아파트)02258베리픽쳐스2023-03-22 09:42:57U2022-12-02 22:04:00.0<NA>207861.870603452666.306495<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>
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53210000CDFF12411120220000062016-12-28<NA>5제외/삭제/전출15전출2023-03-10<NA><NA><NA>0502-1925-5710<NA><NA>서울특별시 서초구 잠원동 **-*서울특별시 서초구 강남대로***안길 *, *층 (잠원동)06524주식회사 영화사안다미로2023-03-10 09:28:31U2022-12-02 23:02:00.0<NA>201541.893869446065.753966<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>
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93210000CDFF12411120120000022012-05-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-** 제일빌딩서울특별시 서초구 사임당로*길 **, 제일빌딩 *층 ***호 (서초동)06640(주)앤드플러스미디어웍스2023-07-10 10:45:43U2022-12-06 23:03:00.0<NA>202654.181046442602.079075<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>
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