Overview

Dataset statistics

Number of variables56
Number of observations925
Missing cells22879
Missing cells (%)44.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory438.2 KiB
Average record size in memory485.1 B

Variable types

Categorical20
Text7
DateTime1
Unsupported20
Numeric8

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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-16748/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
최종수정일자 is highly imbalanced (95.0%)Imbalance
데이터갱신구분 is highly imbalanced (92.1%)Imbalance
데이터갱신일자 is highly imbalanced (96.5%)Imbalance
문화체육업종명 is highly imbalanced (95.2%)Imbalance
문화사업자구분명 is highly imbalanced (95.2%)Imbalance
주변환경명 is highly imbalanced (55.4%)Imbalance
통로너비 is highly imbalanced (98.8%)Imbalance
조명시설조도 is highly imbalanced (98.8%)Imbalance
노래방실수 is highly imbalanced (98.8%)Imbalance
청소년실수 is highly imbalanced (98.8%)Imbalance
총게임기수 is highly imbalanced (98.5%)Imbalance
제공게임물명 is highly imbalanced (91.4%)Imbalance
지역구분명 is highly imbalanced (85.2%)Imbalance
인허가취소일자 has 925 (100.0%) missing valuesMissing
폐업일자 has 445 (48.1%) missing valuesMissing
휴업시작일자 has 925 (100.0%) missing valuesMissing
휴업종료일자 has 925 (100.0%) missing valuesMissing
재개업일자 has 925 (100.0%) missing valuesMissing
전화번호 has 54 (5.8%) missing valuesMissing
소재지면적 has 925 (100.0%) missing valuesMissing
소재지우편번호 has 16 (1.7%) missing valuesMissing
도로명주소 has 84 (9.1%) missing valuesMissing
도로명우편번호 has 912 (98.6%) missing valuesMissing
업태구분명 has 925 (100.0%) missing valuesMissing
좌표정보(X) has 42 (4.5%) missing valuesMissing
좌표정보(Y) has 42 (4.5%) missing valuesMissing
총층수 has 469 (50.7%) missing valuesMissing
제작취급품목내용 has 921 (99.6%) missing valuesMissing
지상층수 has 469 (50.7%) missing valuesMissing
비상계단여부 has 925 (100.0%) missing valuesMissing
비상구여부 has 925 (100.0%) missing valuesMissing
자동환기여부 has 925 (100.0%) missing valuesMissing
청소년실여부 has 925 (100.0%) missing valuesMissing
특수조명여부 has 925 (100.0%) missing valuesMissing
방음시설여부 has 925 (100.0%) missing valuesMissing
비디오재생기명 has 925 (100.0%) missing valuesMissing
조명시설유무 has 925 (100.0%) missing valuesMissing
음향시설여부 has 925 (100.0%) missing valuesMissing
편의시설여부 has 925 (100.0%) missing valuesMissing
소방시설여부 has 925 (100.0%) missing valuesMissing
기존게임업외업종명 has 919 (99.4%) missing valuesMissing
공연장형태구분명 has 925 (100.0%) missing valuesMissing
품목명 has 925 (100.0%) missing valuesMissing
최초등록시점 has 925 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
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 325 (35.1%) zerosZeros
시설면적 has 816 (88.2%) zerosZeros
지상층수 has 327 (35.4%) zerosZeros

Reproduction

Analysis started2024-05-11 03:22:35.828309
Analysis finished2024-05-11 03:22:37.746967
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
3060000
925 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 925
100.0%

Length

2024-05-11T03:22:38.078990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:22:38.394548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 925
100.0%

관리번호
Text

UNIQUE 

Distinct925
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-05-11T03:22:38.886990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters18500
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

Unique925 ?
Unique (%)100.0%

Sample

1st rowCDFF2241031985000001
2nd rowCDFF2241031985000002
3rd rowCDFF2241031985000003
4th rowCDFF2241031985000004
5th rowCDFF2241031985000005
ValueCountFrequency (%)
cdff2241031985000001 1
 
0.1%
cdff2241031999000117 1
 
0.1%
cdff2241031999000088 1
 
0.1%
cdff2241031999000089 1
 
0.1%
cdff2241031999000090 1
 
0.1%
cdff2241031999000091 1
 
0.1%
cdff2241031999000092 1
 
0.1%
cdff2241031999000093 1
 
0.1%
cdff2241031999000094 1
 
0.1%
cdff2241031999000095 1
 
0.1%
Other values (915) 915
98.9%
2024-05-11T03:22:40.051431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5541
30.0%
2 2389
12.9%
1 2063
 
11.2%
F 1850
 
10.0%
9 1452
 
7.8%
3 1165
 
6.3%
4 1148
 
6.2%
C 925
 
5.0%
D 925
 
5.0%
8 343
 
1.9%
Other values (3) 699
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14800
80.0%
Uppercase Letter 3700
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5541
37.4%
2 2389
16.1%
1 2063
 
13.9%
9 1452
 
9.8%
3 1165
 
7.9%
4 1148
 
7.8%
8 343
 
2.3%
6 248
 
1.7%
5 235
 
1.6%
7 216
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
F 1850
50.0%
C 925
25.0%
D 925
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14800
80.0%
Latin 3700
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5541
37.4%
2 2389
16.1%
1 2063
 
13.9%
9 1452
 
9.8%
3 1165
 
7.9%
4 1148
 
7.8%
8 343
 
2.3%
6 248
 
1.7%
5 235
 
1.6%
7 216
 
1.5%
Latin
ValueCountFrequency (%)
F 1850
50.0%
C 925
25.0%
D 925
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5541
30.0%
2 2389
12.9%
1 2063
 
11.2%
F 1850
 
10.0%
9 1452
 
7.8%
3 1165
 
6.3%
4 1148
 
6.2%
C 925
 
5.0%
D 925
 
5.0%
8 343
 
1.9%
Other values (3) 699
 
3.8%

인허가일자
Date

Distinct685
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum1985-03-27 00:00:00
Maximum2022-02-18 00:00:00
2024-05-11T03:22:40.693797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:22:41.256301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
3
480 
1
445 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 480
51.9%
1 445
48.1%

Length

2024-05-11T03:22:42.193861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:22:42.703923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 480
51.9%
1 445
48.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
폐업
480 
영업/정상
445 

Length

Max length5
Median length2
Mean length3.4432432
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 480
51.9%
영업/정상 445
48.1%

Length

2024-05-11T03:22:43.599113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:22:44.000704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 480
51.9%
영업/정상 445
48.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
3
480 
13
445 

Length

Max length2
Median length1
Mean length1.4810811
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row13
3rd row13
4th row13
5th row3

Common Values

ValueCountFrequency (%)
3 480
51.9%
13 445
48.1%

Length

2024-05-11T03:22:44.748044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:22:45.275329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 480
51.9%
13 445
48.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
폐업
480 
영업중
445 

Length

Max length3
Median length2
Mean length2.4810811
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 480
51.9%
영업중 445
48.1%

Length

2024-05-11T03:22:45.869787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:22:46.236288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 480
51.9%
영업중 445
48.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct326
Distinct (%)67.9%
Missing445
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean19999647
Minimum19960923
Maximum20230110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-05-11T03:22:46.580920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960923
5-th percentile19980514
Q119990583
median20000330
Q320010222
95-th percentile20010922
Maximum20230110
Range269187
Interquartile range (IQR)19639.25

Descriptive statistics

Standard deviation25192.976
Coefficient of variation (CV)0.001259671
Kurtosis47.606962
Mean19999647
Median Absolute Deviation (MAD)9813
Skewness6.1516613
Sum9.5998306 × 109
Variance6.3468604 × 108
MonotonicityNot monotonic
2024-05-11T03:22:47.266122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19980804 12
 
1.3%
20010703 7
 
0.8%
19990703 7
 
0.8%
19990729 6
 
0.6%
19990731 6
 
0.6%
19991026 5
 
0.5%
19981025 4
 
0.4%
20010704 4
 
0.4%
20000630 4
 
0.4%
20000529 4
 
0.4%
Other values (316) 421
45.5%
(Missing) 445
48.1%
ValueCountFrequency (%)
19960923 1
0.1%
19961105 1
0.1%
19961210 1
0.1%
19970205 1
0.1%
19970214 1
0.1%
19970306 1
0.1%
19970709 1
0.1%
19970714 1
0.1%
19970728 1
0.1%
19970808 1
0.1%
ValueCountFrequency (%)
20230110 1
 
0.1%
20220907 1
 
0.1%
20200813 1
 
0.1%
20181128 1
 
0.1%
20180530 1
 
0.1%
20140915 1
 
0.1%
20120507 1
 
0.1%
20011221 1
 
0.1%
20011220 3
0.3%
20011217 1
 
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

전화번호
Text

MISSING 

Distinct822
Distinct (%)94.4%
Missing54
Missing (%)5.8%
Memory size7.4 KiB
2024-05-11T03:22:48.073323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.1228473
Min length2

Characters and Unicode

Total characters7075
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique784 ?
Unique (%)90.0%

Sample

1st row0433-2257
2nd row493-8224
3rd row0439-4467
4th row2209-2921
5th row492-6497
ValueCountFrequency (%)
0 7
 
0.8%
434-5640 3
 
0.3%
0962-4752 3
 
0.3%
494-3826 3
 
0.3%
435-8585 3
 
0.3%
0000-0000 3
 
0.3%
495-7727 3
 
0.3%
432-2006 2
 
0.2%
973-8116 2
 
0.2%
495-3117 2
 
0.2%
Other values (812) 840
96.4%
2024-05-11T03:22:49.392115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1138
16.1%
- 871
12.3%
3 863
12.2%
9 791
11.2%
2 621
8.8%
0 541
7.6%
7 500
7.1%
5 475
6.7%
6 447
 
6.3%
8 417
 
5.9%
Other values (2) 411
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6203
87.7%
Dash Punctuation 871
 
12.3%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1138
18.3%
3 863
13.9%
9 791
12.8%
2 621
10.0%
0 541
8.7%
7 500
8.1%
5 475
7.7%
6 447
 
7.2%
8 417
 
6.7%
1 410
 
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 871
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7075
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1138
16.1%
- 871
12.3%
3 863
12.2%
9 791
11.2%
2 621
8.8%
0 541
7.6%
7 500
7.1%
5 475
6.7%
6 447
 
6.3%
8 417
 
5.9%
Other values (2) 411
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1138
16.1%
- 871
12.3%
3 863
12.2%
9 791
11.2%
2 621
8.8%
0 541
7.6%
7 500
7.1%
5 475
6.7%
6 447
 
6.3%
8 417
 
5.9%
Other values (2) 411
 
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)8.8%
Missing16
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean131831.82
Minimum131120
Maximum131883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-05-11T03:22:49.845926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131120
5-th percentile131803
Q1131815
median131829
Q3131860
95-th percentile131880
Maximum131883
Range763
Interquartile range (IQR)45

Descriptive statistics

Standard deviation69.778177
Coefficient of variation (CV)0.00052929691
Kurtosis81.995244
Mean131831.82
Median Absolute Deviation (MAD)20
Skewness-8.4564206
Sum1.1983513 × 108
Variance4868.9939
MonotonicityNot monotonic
2024-05-11T03:22:50.439882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131848 29
 
3.1%
131823 29
 
3.1%
131802 27
 
2.9%
131813 27
 
2.9%
131811 27
 
2.9%
131860 27
 
2.9%
131879 26
 
2.8%
131820 24
 
2.6%
131831 24
 
2.6%
131815 24
 
2.6%
Other values (70) 645
69.7%
ValueCountFrequency (%)
131120 5
 
0.5%
131130 1
 
0.1%
131200 1
 
0.1%
131230 1
 
0.1%
131781 1
 
0.1%
131800 3
 
0.3%
131801 4
 
0.4%
131802 27
2.9%
131803 8
 
0.9%
131804 4
 
0.4%
ValueCountFrequency (%)
131883 9
 
1.0%
131882 14
1.5%
131881 20
2.2%
131880 15
1.6%
131879 26
2.8%
131878 21
2.3%
131877 13
1.4%
131876 6
 
0.6%
131875 11
1.2%
131874 1
 
0.1%

지번주소
Text

Distinct812
Distinct (%)87.9%
Missing1
Missing (%)0.1%
Memory size7.4 KiB
2024-05-11T03:22:51.268605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length40
Mean length23.253247
Min length19

Characters and Unicode

Total characters21486
Distinct characters109
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique715 ?
Unique (%)77.4%

Sample

1st row서울특별시 중랑구 중화동 312-119번지
2nd row서울특별시 중랑구 망우동 207-1번지
3rd row서울특별시 중랑구 면목동 501-4번지
4th row서울특별시 중랑구 면목동 147-6번지
5th row서울특별시 중랑구 면목동 617-2번지
ValueCountFrequency (%)
서울특별시 924
23.9%
중랑구 924
23.9%
면목동 395
 
10.2%
중화동 140
 
3.6%
망우동 126
 
3.3%
상봉동 116
 
3.0%
묵동 99
 
2.6%
신내동 48
 
1.2%
산 12
 
0.3%
상가 9
 
0.2%
Other values (903) 1068
27.7%
2024-05-11T03:22:52.679471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3841
17.9%
중 1065
 
5.0%
1 970
 
4.5%
동 946
 
4.4%
지 937
 
4.4%
시 928
 
4.3%
서 924
 
4.3%
특 924
 
4.3%
별 924
 
4.3%
랑 924
 
4.3%
Other values (99) 9103
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12311
57.3%
Decimal Number 4414
 
20.5%
Space Separator 3841
 
17.9%
Dash Punctuation 900
 
4.2%
Lowercase Letter 6
 
< 0.1%
Uppercase Letter 5
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 1065
 
8.7%
동 946
 
7.7%
지 937
 
7.6%
시 928
 
7.5%
서 924
 
7.5%
특 924
 
7.5%
별 924
 
7.5%
랑 924
 
7.5%
구 924
 
7.5%
울 924
 
7.5%
Other values (78) 2891
23.5%
Decimal Number
ValueCountFrequency (%)
1 970
22.0%
2 537
12.2%
3 499
11.3%
4 465
10.5%
0 379
 
8.6%
5 370
 
8.4%
6 351
 
8.0%
7 314
 
7.1%
8 267
 
6.0%
9 262
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
A 1
20.0%
P 1
20.0%
T 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
a 4
66.7%
b 2
33.3%
Space Separator
ValueCountFrequency (%)
3841
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 900
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12311
57.3%
Common 9164
42.7%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 1065
 
8.7%
동 946
 
7.7%
지 937
 
7.6%
시 928
 
7.5%
서 924
 
7.5%
특 924
 
7.5%
별 924
 
7.5%
랑 924
 
7.5%
구 924
 
7.5%
울 924
 
7.5%
Other values (78) 2891
23.5%
Common
ValueCountFrequency (%)
3841
41.9%
1 970
 
10.6%
- 900
 
9.8%
2 537
 
5.9%
3 499
 
5.4%
4 465
 
5.1%
0 379
 
4.1%
5 370
 
4.0%
6 351
 
3.8%
7 314
 
3.4%
Other values (5) 538
 
5.9%
Latin
ValueCountFrequency (%)
a 4
36.4%
B 2
18.2%
b 2
18.2%
A 1
 
9.1%
P 1
 
9.1%
T 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12311
57.3%
ASCII 9175
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3841
41.9%
1 970
 
10.6%
- 900
 
9.8%
2 537
 
5.9%
3 499
 
5.4%
4 465
 
5.1%
0 379
 
4.1%
5 370
 
4.0%
6 351
 
3.8%
7 314
 
3.4%
Other values (11) 549
 
6.0%
Hangul
ValueCountFrequency (%)
중 1065
 
8.7%
동 946
 
7.7%
지 937
 
7.6%
시 928
 
7.5%
서 924
 
7.5%
특 924
 
7.5%
별 924
 
7.5%
랑 924
 
7.5%
구 924
 
7.5%
울 924
 
7.5%
Other values (78) 2891
23.5%

도로명주소
Text

MISSING 

Distinct725
Distinct (%)86.2%
Missing84
Missing (%)9.1%
Memory size7.4 KiB
2024-05-11T03:22:53.347088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length26.116528
Min length22

Characters and Unicode

Total characters21964
Distinct characters115
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique625 ?
Unique (%)74.3%

Sample

1st row서울특별시 중랑구 망우로 474 (망우동)
2nd row서울특별시 중랑구 면목로 361 (면목동)
3rd row서울특별시 중랑구 겸재로 115 (면목동)
4th row서울특별시 중랑구 면목로 308 (면목동)
5th row서울특별시 중랑구 공릉로12가길 18 (묵동)
ValueCountFrequency (%)
서울특별시 841
19.8%
중랑구 841
19.8%
면목동 356
 
8.4%
중화동 121
 
2.9%
망우동 115
 
2.7%
상봉동 103
 
2.4%
묵동 84
 
2.0%
망우로 56
 
1.3%
중랑역로 46
 
1.1%
면목로 38
 
0.9%
Other values (571) 1642
38.7%
2024-05-11T03:22:54.777700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4226
19.2%
중 1059
 
4.8%
동 987
 
4.5%
랑 921
 
4.2%
시 844
 
3.8%
) 844
 
3.8%
( 844
 
3.8%
서 841
 
3.8%
울 841
 
3.8%
특 841
 
3.8%
Other values (105) 9716
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12796
58.3%
Space Separator 4226
 
19.2%
Decimal Number 3137
 
14.3%
Close Punctuation 844
 
3.8%
Open Punctuation 844
 
3.8%
Other Punctuation 57
 
0.3%
Dash Punctuation 53
 
0.2%
Uppercase Letter 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 1059
 
8.3%
동 987
 
7.7%
랑 921
 
7.2%
시 844
 
6.6%
서 841
 
6.6%
울 841
 
6.6%
특 841
 
6.6%
별 841
 
6.6%
구 841
 
6.6%
로 840
 
6.6%
Other values (83) 3940
30.8%
Decimal Number
ValueCountFrequency (%)
1 653
20.8%
2 453
14.4%
3 393
12.5%
4 324
10.3%
5 259
 
8.3%
9 230
 
7.3%
6 219
 
7.0%
0 217
 
6.9%
7 195
 
6.2%
8 194
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
P 1
25.0%
T 1
25.0%
B 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
g 1
33.3%
a 1
33.3%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
4226
100.0%
Close Punctuation
ValueCountFrequency (%)
) 844
100.0%
Open Punctuation
ValueCountFrequency (%)
( 844
100.0%
Other Punctuation
ValueCountFrequency (%)
, 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12796
58.3%
Common 9161
41.7%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 1059
 
8.3%
동 987
 
7.7%
랑 921
 
7.2%
시 844
 
6.6%
서 841
 
6.6%
울 841
 
6.6%
특 841
 
6.6%
별 841
 
6.6%
구 841
 
6.6%
로 840
 
6.6%
Other values (83) 3940
30.8%
Common
ValueCountFrequency (%)
4226
46.1%
) 844
 
9.2%
( 844
 
9.2%
1 653
 
7.1%
2 453
 
4.9%
3 393
 
4.3%
4 324
 
3.5%
5 259
 
2.8%
9 230
 
2.5%
6 219
 
2.4%
Other values (5) 716
 
7.8%
Latin
ValueCountFrequency (%)
A 1
14.3%
P 1
14.3%
T 1
14.3%
g 1
14.3%
B 1
14.3%
a 1
14.3%
s 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12796
58.3%
ASCII 9168
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4226
46.1%
) 844
 
9.2%
( 844
 
9.2%
1 653
 
7.1%
2 453
 
4.9%
3 393
 
4.3%
4 324
 
3.5%
5 259
 
2.8%
9 230
 
2.5%
6 219
 
2.4%
Other values (12) 723
 
7.9%
Hangul
ValueCountFrequency (%)
중 1059
 
8.3%
동 987
 
7.7%
랑 921
 
7.2%
시 844
 
6.6%
서 841
 
6.6%
울 841
 
6.6%
특 841
 
6.6%
별 841
 
6.6%
구 841
 
6.6%
로 840
 
6.6%
Other values (83) 3940
30.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)84.6%
Missing912
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean12086.692
Minimum2006
Maximum131831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-05-11T03:22:55.463656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2006
5-th percentile2006
Q12066
median2119
Q32172
95-th percentile54067.4
Maximum131831
Range129825
Interquartile range (IQR)106

Descriptive statistics

Standard deviation35978.749
Coefficient of variation (CV)2.9767242
Kurtosis12.999885
Mean12086.692
Median Absolute Deviation (MAD)53
Skewness3.6055291
Sum157127
Variance1.2944704 × 109
MonotonicityNot monotonic
2024-05-11T03:22:55.920433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2119 2
 
0.2%
2006 2
 
0.2%
131831 1
 
0.1%
2172 1
 
0.1%
2225 1
 
0.1%
2120 1
 
0.1%
2148 1
 
0.1%
2054 1
 
0.1%
2066 1
 
0.1%
2069 1
 
0.1%
(Missing) 912
98.6%
ValueCountFrequency (%)
2006 2
0.2%
2054 1
0.1%
2066 1
0.1%
2069 1
0.1%
2119 2
0.2%
2120 1
0.1%
2148 1
0.1%
2172 1
0.1%
2192 1
0.1%
2225 1
0.1%
ValueCountFrequency (%)
131831 1
0.1%
2225 1
0.1%
2192 1
0.1%
2172 1
0.1%
2148 1
0.1%
2120 1
0.1%
2119 2
0.2%
2069 1
0.1%
2066 1
0.1%
2054 1
0.1%

사업장명
Text

Distinct727
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-05-11T03:22:56.845381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length5.2443243
Min length1

Characters and Unicode

Total characters4851
Distinct characters432
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique609 ?
Unique (%)65.8%

Sample

1st row윤영
2nd row부흥오락실
3rd row반도
4th row신세대게임랜드
5th row극장
ValueCountFrequency (%)
영화마을 9
 
0.9%
영화천국 8
 
0.8%
인형세상 6
 
0.6%
비디오여행 6
 
0.6%
게임랜드 6
 
0.6%
대성비디오 6
 
0.6%
현비디오 6
 
0.6%
솔로몬 6
 
0.6%
둘리비디오 5
 
0.5%
현대 5
 
0.5%
Other values (733) 904
93.5%
2024-05-11T03:22:58.154669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
오 355
 
7.3%
비 298
 
6.1%
디 295
 
6.1%
게 161
 
3.3%
임 160
 
3.3%
드 123
 
2.5%
영 93
 
1.9%
화 78
 
1.6%
랜 70
 
1.4%
대 69
 
1.4%
Other values (422) 3149
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4605
94.9%
Decimal Number 69
 
1.4%
Uppercase Letter 66
 
1.4%
Space Separator 42
 
0.9%
Close Punctuation 35
 
0.7%
Open Punctuation 24
 
0.5%
Other Punctuation 8
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
오 355
 
7.7%
비 298
 
6.5%
디 295
 
6.4%
게 161
 
3.5%
임 160
 
3.5%
드 123
 
2.7%
영 93
 
2.0%
화 78
 
1.7%
랜 70
 
1.5%
대 69
 
1.5%
Other values (383) 2903
63.0%
Uppercase Letter
ValueCountFrequency (%)
C 16
24.2%
P 13
19.7%
N 4
 
6.1%
T 4
 
6.1%
D 3
 
4.5%
L 3
 
4.5%
R 2
 
3.0%
U 2
 
3.0%
E 2
 
3.0%
M 2
 
3.0%
Other values (11) 15
22.7%
Decimal Number
ValueCountFrequency (%)
2 21
30.4%
1 11
15.9%
0 8
 
11.6%
3 8
 
11.6%
8 6
 
8.7%
7 6
 
8.7%
5 4
 
5.8%
6 2
 
2.9%
4 2
 
2.9%
9 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 4
50.0%
! 2
25.0%
& 2
25.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
d 1
50.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4605
94.9%
Common 178
 
3.7%
Latin 68
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
오 355
 
7.7%
비 298
 
6.5%
디 295
 
6.4%
게 161
 
3.5%
임 160
 
3.5%
드 123
 
2.7%
영 93
 
2.0%
화 78
 
1.7%
랜 70
 
1.5%
대 69
 
1.5%
Other values (383) 2903
63.0%
Latin
ValueCountFrequency (%)
C 16
23.5%
P 13
19.1%
N 4
 
5.9%
T 4
 
5.9%
D 3
 
4.4%
L 3
 
4.4%
R 2
 
2.9%
U 2
 
2.9%
E 2
 
2.9%
M 2
 
2.9%
Other values (13) 17
25.0%
Common
ValueCountFrequency (%)
42
23.6%
) 35
19.7%
( 24
13.5%
2 21
11.8%
1 11
 
6.2%
0 8
 
4.5%
3 8
 
4.5%
8 6
 
3.4%
7 6
 
3.4%
. 4
 
2.2%
Other values (6) 13
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4605
94.9%
ASCII 246
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
오 355
 
7.7%
비 298
 
6.5%
디 295
 
6.4%
게 161
 
3.5%
임 160
 
3.5%
드 123
 
2.7%
영 93
 
2.0%
화 78
 
1.7%
랜 70
 
1.5%
대 69
 
1.5%
Other values (383) 2903
63.0%
ASCII
ValueCountFrequency (%)
42
17.1%
) 35
14.2%
( 24
 
9.8%
2 21
 
8.5%
C 16
 
6.5%
P 13
 
5.3%
1 11
 
4.5%
0 8
 
3.3%
3 8
 
3.3%
8 6
 
2.4%
Other values (29) 62
25.2%

최종수정일자
Categorical

IMBALANCE 

Distinct18
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2003-04-18 17:03:26
908 
2015-08-05 14:32:00
 
1
2006-02-22 19:09:56
 
1
2014-09-16 13:12:28
 
1
2023-12-29 14:23:52
 
1
Other values (13)
 
13

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique17 ?
Unique (%)1.8%

Sample

1st row2003-04-18 17:03:26
2nd row2003-04-18 17:03:26
3rd row2003-04-18 17:03:26
4th row2003-04-18 17:03:26
5th row2003-04-18 17:03:26

Common Values

ValueCountFrequency (%)
2003-04-18 17:03:26 908
98.2%
2015-08-05 14:32:00 1
 
0.1%
2006-02-22 19:09:56 1
 
0.1%
2014-09-16 13:12:28 1
 
0.1%
2023-12-29 14:23:52 1
 
0.1%
2013-10-23 17:44:52 1
 
0.1%
2020-08-14 18:45:28 1
 
0.1%
2023-01-10 13:13:08 1
 
0.1%
2012-05-07 16:29:23 1
 
0.1%
2018-11-28 17:28:55 1
 
0.1%
Other values (8) 8
 
0.9%

Length

2024-05-11T03:22:58.693162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2003-04-18 908
49.1%
17:03:26 908
49.1%
2023-07-03 1
 
0.1%
11:13:31 1
 
0.1%
2019-12-06 1
 
0.1%
17:12:01 1
 
0.1%
2020-08-13 1
 
0.1%
17:12:38 1
 
0.1%
2018-05-31 1
 
0.1%
10:54:04 1
 
0.1%
Other values (26) 26
 
1.4%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
I
916 
U
 
9

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 916
99.0%
U 9
 
1.0%

Length

2024-05-11T03:22:59.080808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:22:59.399321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 916
99.0%
u 9
 
1.0%

데이터갱신일자
Categorical

IMBALANCE 

Distinct11
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2018-08-31 23:59:59.0
915 
2022-11-01 21:01:00.0
 
1
2020-08-16 02:40:00.0
 
1
2022-11-30 23:02:00.0
 
1
2018-11-30 02:40:00.0
 
1
Other values (6)
 
6

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique10 ?
Unique (%)1.1%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 915
98.9%
2022-11-01 21:01:00.0 1
 
0.1%
2020-08-16 02:40:00.0 1
 
0.1%
2022-11-30 23:02:00.0 1
 
0.1%
2018-11-30 02:40:00.0 1
 
0.1%
2022-12-07 00:05:00.0 1
 
0.1%
2019-12-08 02:40:00.0 1
 
0.1%
2020-08-15 02:40:00.0 1
 
0.1%
2021-12-05 00:05:00.0 1
 
0.1%
2021-12-09 00:09:00.0 1
 
0.1%

Length

2024-05-11T03:22:59.748388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 915
49.5%
23:59:59.0 915
49.5%
02:40:00.0 4
 
0.2%
00:05:00.0 2
 
0.1%
2022-02-20 1
 
0.1%
00:09:00.0 1
 
0.1%
2021-12-09 1
 
0.1%
2021-12-05 1
 
0.1%
2020-08-15 1
 
0.1%
2019-12-08 1
 
0.1%
Other values (8) 8
 
0.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct742
Distinct (%)84.0%
Missing42
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean207556.7
Minimum206264.85
Maximum209611.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-05-11T03:23:00.180120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206264.85
5-th percentile206559.97
Q1206855.28
median207497.45
Q3208160.88
95-th percentile208900.26
Maximum209611.16
Range3346.3077
Interquartile range (IQR)1305.6057

Descriptive statistics

Standard deviation773.31399
Coefficient of variation (CV)0.0037257964
Kurtosis-0.83201232
Mean207556.7
Median Absolute Deviation (MAD)649.47499
Skewness0.41017
Sum1.8327256 × 108
Variance598014.53
MonotonicityNot monotonic
2024-05-11T03:23:00.680852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207978.489613092 4
 
0.4%
206886.228138314 4
 
0.4%
207929.607402131 4
 
0.4%
207759.193444531 4
 
0.4%
208489.86186808 3
 
0.3%
208294.257367707 3
 
0.3%
208057.437370858 3
 
0.3%
207091.49869583 3
 
0.3%
207157.305029209 3
 
0.3%
208295.099818379 3
 
0.3%
Other values (732) 849
91.8%
(Missing) 42
 
4.5%
ValueCountFrequency (%)
206264.85197789 1
0.1%
206281.995703937 2
0.2%
206290.445840268 1
0.1%
206314.828218712 1
0.1%
206315.621494545 1
0.1%
206316.270834781 1
0.1%
206324.614588608 1
0.1%
206337.956942004 1
0.1%
206350.234734438 1
0.1%
206358.589180365 1
0.1%
ValueCountFrequency (%)
209611.159654036 1
0.1%
209499.121728645 2
0.2%
209494.169530519 1
0.1%
209481.672616843 1
0.1%
209479.161719823 1
0.1%
209474.190548079 1
0.1%
209442.055533533 1
0.1%
209434.936710026 1
0.1%
209420.600469117 1
0.1%
209353.326092817 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct742
Distinct (%)84.0%
Missing42
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean454651.62
Minimum452075.95
Maximum457300.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-05-11T03:23:01.274994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452075.95
5-th percentile452935.74
Q1453877.2
median454649.66
Q3455337.17
95-th percentile456672.07
Maximum457300.59
Range5224.6422
Interquartile range (IQR)1459.9705

Descriptive statistics

Standard deviation1126.564
Coefficient of variation (CV)0.0024778619
Kurtosis-0.42587329
Mean454651.62
Median Absolute Deviation (MAD)735.21555
Skewness0.19185316
Sum4.0145738 × 108
Variance1269146.4
MonotonicityNot monotonic
2024-05-11T03:23:01.967099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455897.218274738 4
 
0.4%
453633.24746458 4
 
0.4%
453335.88487932 4
 
0.4%
454943.982853578 4
 
0.4%
454101.91135596 3
 
0.3%
456632.108607443 3
 
0.3%
454845.243765481 3
 
0.3%
454412.940276084 3
 
0.3%
453453.04273544 3
 
0.3%
456014.999180519 3
 
0.3%
Other values (732) 849
91.8%
(Missing) 42
 
4.5%
ValueCountFrequency (%)
452075.948613979 2
0.2%
452102.965513448 1
0.1%
452139.898151971 1
0.1%
452153.414412476 1
0.1%
452154.985968336 1
0.1%
452223.74834322 1
0.1%
452228.650626046 1
0.1%
452239.304224215 2
0.2%
452430.188459236 2
0.2%
452430.203678931 1
0.1%
ValueCountFrequency (%)
457300.590845829 1
0.1%
457257.587601293 2
0.2%
457229.891781643 1
0.1%
457221.511649406 1
0.1%
457174.958326298 1
0.1%
457166.194413166 1
0.1%
457161.235106711 2
0.2%
457160.207840878 1
0.1%
457150.22870364 2
0.2%
457122.700436003 1
0.1%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
복합유통게임제공업
920 
<NA>
 
5

Length

Max length9
Median length9
Mean length8.972973
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
복합유통게임제공업 920
99.5%
<NA> 5
 
0.5%

Length

2024-05-11T03:23:02.516030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:02.916296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합유통게임제공업 920
99.5%
na 5
 
0.5%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
유통관련업
920 
<NA>
 
5

Length

Max length5
Median length5
Mean length4.9945946
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 920
99.5%
<NA> 5
 
0.5%

Length

2024-05-11T03:23:03.418123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:03.837463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 920
99.5%
na 5
 
0.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)2.4%
Missing469
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean1.1469298
Minimum0
Maximum18
Zeros325
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-05-11T03:23:04.215889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0950783
Coefficient of variation (CV)1.826684
Kurtosis9.1153084
Mean1.1469298
Median Absolute Deviation (MAD)0
Skewness2.2831446
Sum523
Variance4.3893532
MonotonicityNot monotonic
2024-05-11T03:23:04.843706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 325
35.1%
4 43
 
4.6%
5 28
 
3.0%
3 23
 
2.5%
1 15
 
1.6%
6 11
 
1.2%
2 6
 
0.6%
7 2
 
0.2%
9 1
 
0.1%
18 1
 
0.1%
(Missing) 469
50.7%
ValueCountFrequency (%)
0 325
35.1%
1 15
 
1.6%
2 6
 
0.6%
3 23
 
2.5%
4 43
 
4.6%
5 28
 
3.0%
6 11
 
1.2%
7 2
 
0.2%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
18 1
 
0.1%
9 1
 
0.1%
8 1
 
0.1%
7 2
 
0.2%
6 11
 
1.2%
5 28
3.0%
4 43
4.6%
3 23
2.5%
2 6
 
0.6%
1 15
 
1.6%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
<NA>
670 
주택가주변
219 
기타
 
32
유흥업소밀집지역
 
2
아파트지역
 
2

Length

Max length8
Median length4
Mean length4.1783784
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 670
72.4%
주택가주변 219
 
23.7%
기타 32
 
3.5%
유흥업소밀집지역 2
 
0.2%
아파트지역 2
 
0.2%

Length

2024-05-11T03:23:05.331040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:05.811866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 670
72.4%
주택가주변 219
 
23.7%
기타 32
 
3.5%
유흥업소밀집지역 2
 
0.2%
아파트지역 2
 
0.2%

제작취급품목내용
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing921
Missing (%)99.6%
Memory size7.4 KiB
2024-05-11T03:23:06.301258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length7
Min length3

Characters and Unicode

Total characters28
Distinct characters20
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

Unique4 ?
Unique (%)100.0%

Sample

1st row당구장
2nd row노래연습장
3rd row청소년게임제공업,노래연습장업
4th row휴게음식점
ValueCountFrequency (%)
당구장 1
25.0%
노래연습장 1
25.0%
청소년게임제공업,노래연습장업 1
25.0%
휴게음식점 1
25.0%
2024-05-11T03:23:07.431953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 3
 
10.7%
게 2
 
7.1%
노 2
 
7.1%
래 2
 
7.1%
연 2
 
7.1%
습 2
 
7.1%
업 2
 
7.1%
공 1
 
3.6%
식 1
 
3.6%
음 1
 
3.6%
Other values (10) 10
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27
96.4%
Other Punctuation 1
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3
 
11.1%
게 2
 
7.4%
노 2
 
7.4%
래 2
 
7.4%
연 2
 
7.4%
습 2
 
7.4%
업 2
 
7.4%
공 1
 
3.7%
식 1
 
3.7%
음 1
 
3.7%
Other values (9) 9
33.3%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27
96.4%
Common 1
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3
 
11.1%
게 2
 
7.4%
노 2
 
7.4%
래 2
 
7.4%
연 2
 
7.4%
습 2
 
7.4%
업 2
 
7.4%
공 1
 
3.7%
식 1
 
3.7%
음 1
 
3.7%
Other values (9) 9
33.3%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27
96.4%
ASCII 1
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 3
 
11.1%
게 2
 
7.4%
노 2
 
7.4%
래 2
 
7.4%
연 2
 
7.4%
습 2
 
7.4%
업 2
 
7.4%
공 1
 
3.7%
식 1
 
3.7%
음 1
 
3.7%
Other values (9) 9
33.3%
ASCII
ValueCountFrequency (%)
, 1
100.0%

시설면적
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)11.0%
Missing5
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean32.941891
Minimum0
Maximum4051.35
Zeros816
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-05-11T03:23:07.964239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile160.217
Maximum4051.35
Range4051.35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation223.69566
Coefficient of variation (CV)6.7906137
Kurtosis235.34811
Mean32.941891
Median Absolute Deviation (MAD)0
Skewness14.462245
Sum30306.54
Variance50039.748
MonotonicityNot monotonic
2024-05-11T03:23:08.545818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 816
88.2%
33.0 4
 
0.4%
90.0 2
 
0.2%
105.59 1
 
0.1%
99.16 1
 
0.1%
55.8 1
 
0.1%
78.54 1
 
0.1%
86.58 1
 
0.1%
28.0 1
 
0.1%
113.4 1
 
0.1%
Other values (91) 91
 
9.8%
(Missing) 5
 
0.5%
ValueCountFrequency (%)
0.0 816
88.2%
22.0 1
 
0.1%
22.68 1
 
0.1%
26.4 1
 
0.1%
28.0 1
 
0.1%
29.9 1
 
0.1%
32.14 1
 
0.1%
33.0 4
 
0.4%
37.0 1
 
0.1%
42.56 1
 
0.1%
ValueCountFrequency (%)
4051.35 1
0.1%
3765.72 1
0.1%
3098.55 1
0.1%
999.03 1
0.1%
666.3 1
0.1%
595.5 1
0.1%
584.85 1
0.1%
577.82 1
0.1%
494.84 1
0.1%
492.11 1
0.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)2.0%
Missing469
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean0.93859649
Minimum0
Maximum15
Zeros327
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-05-11T03:23:09.055521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum15
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6956834
Coefficient of variation (CV)1.806616
Kurtosis10.350261
Mean0.93859649
Median Absolute Deviation (MAD)0
Skewness2.3593538
Sum428
Variance2.8753422
MonotonicityNot monotonic
2024-05-11T03:23:09.559008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 327
35.4%
3 52
 
5.6%
4 30
 
3.2%
2 27
 
2.9%
5 13
 
1.4%
1 4
 
0.4%
6 1
 
0.1%
8 1
 
0.1%
15 1
 
0.1%
(Missing) 469
50.7%
ValueCountFrequency (%)
0 327
35.4%
1 4
 
0.4%
2 27
 
2.9%
3 52
 
5.6%
4 30
 
3.2%
5 13
 
1.4%
6 1
 
0.1%
8 1
 
0.1%
15 1
 
0.1%
ValueCountFrequency (%)
15 1
 
0.1%
8 1
 
0.1%
6 1
 
0.1%
5 13
 
1.4%
4 30
 
3.2%
3 52
 
5.6%
2 27
 
2.9%
1 4
 
0.4%
0 327
35.4%

지하층수
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
<NA>
467 
0
334 
1
120 
3
 
3
2
 
1

Length

Max length4
Median length4
Mean length2.5145946
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 467
50.5%
0 334
36.1%
1 120
 
13.0%
3 3
 
0.3%
2 1
 
0.1%

Length

2024-05-11T03:23:10.227815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:10.607024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 467
50.5%
0 334
36.1%
1 120
 
13.0%
3 3
 
0.3%
2 1
 
0.1%

건물용도명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
<NA>
764 
근린생활시설
161 

Length

Max length6
Median length4
Mean length4.3481081
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> 764
82.6%
근린생활시설 161
 
17.4%

Length

2024-05-11T03:23:11.095698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:11.650849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 764
82.6%
근린생활시설 161
 
17.4%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
<NA>
924 
0
 
1

Length

Max length4
Median length4
Mean length3.9967568
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 924
99.9%
0 1
 
0.1%

Length

2024-05-11T03:23:12.020859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:12.398400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 924
99.9%
0 1
 
0.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
<NA>
924 
0
 
1

Length

Max length4
Median length4
Mean length3.9967568
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 924
99.9%
0 1
 
0.1%

Length

2024-05-11T03:23:12.863853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:13.260823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 924
99.9%
0 1
 
0.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
<NA>
924 
0
 
1

Length

Max length4
Median length4
Mean length3.9967568
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 924
99.9%
0 1
 
0.1%

Length

2024-05-11T03:23:13.743608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:14.185135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 924
99.9%
0 1
 
0.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
<NA>
924 
0
 
1

Length

Max length4
Median length4
Mean length3.9967568
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 924
99.9%
0 1
 
0.1%

Length

2024-05-11T03:23:14.657318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:15.177091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 924
99.9%
0 1
 
0.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

총게임기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
<NA>
923 
115
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.9956757
Min length1

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> 923
99.8%
115 1
 
0.1%
0 1
 
0.1%

Length

2024-05-11T03:23:15.676652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:16.277773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 923
99.8%
115 1
 
0.1%
0 1
 
0.1%

기존게임업외업종명
Text

MISSING 

Distinct5
Distinct (%)83.3%
Missing919
Missing (%)99.4%
Memory size7.4 KiB
2024-05-11T03:23:16.936857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11.5
Mean length10.666667
Min length5

Characters and Unicode

Total characters64
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)66.7%

Sample

1st row당구장(체육시설업)
2nd row청소년게임제공업
3rd row청소년게임제공업
4th row청소년게임제공업(플레이스테이션 2대)
5th row노래연습장
ValueCountFrequency (%)
청소년게임제공업 2
22.2%
당구장(체육시설업 1
11.1%
청소년게임제공업(플레이스테이션 1
11.1%
2대 1
11.1%
노래연습장 1
11.1%
코인노래연습장 1
11.1%
룸 1
11.1%
13개 1
11.1%
2024-05-11T03:23:18.668571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 4
 
6.2%
청 3
 
4.7%
공 3
 
4.7%
소 3
 
4.7%
장 3
 
4.7%
3
 
4.7%
제 3
 
4.7%
임 3
 
4.7%
게 3
 
4.7%
년 3
 
4.7%
Other values (26) 33
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54
84.4%
Space Separator 3
 
4.7%
Decimal Number 3
 
4.7%
Close Punctuation 2
 
3.1%
Open Punctuation 2
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 4
 
7.4%
청 3
 
5.6%
공 3
 
5.6%
소 3
 
5.6%
장 3
 
5.6%
제 3
 
5.6%
임 3
 
5.6%
게 3
 
5.6%
년 3
 
5.6%
노 2
 
3.7%
Other values (20) 24
44.4%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54
84.4%
Common 10
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 4
 
7.4%
청 3
 
5.6%
공 3
 
5.6%
소 3
 
5.6%
장 3
 
5.6%
제 3
 
5.6%
임 3
 
5.6%
게 3
 
5.6%
년 3
 
5.6%
노 2
 
3.7%
Other values (20) 24
44.4%
Common
ValueCountFrequency (%)
3
30.0%
) 2
20.0%
( 2
20.0%
2 1
 
10.0%
1 1
 
10.0%
3 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54
84.4%
ASCII 10
 
15.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 4
 
7.4%
청 3
 
5.6%
공 3
 
5.6%
소 3
 
5.6%
장 3
 
5.6%
제 3
 
5.6%
임 3
 
5.6%
게 3
 
5.6%
년 3
 
5.6%
노 2
 
3.7%
Other values (20) 24
44.4%
ASCII
ValueCountFrequency (%)
3
30.0%
) 2
20.0%
( 2
20.0%
2 1
 
10.0%
1 1
 
10.0%
3 1
 
10.0%

제공게임물명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
<NA>
915 
전체이용가
 
10

Length

Max length5
Median length4
Mean length4.0108108
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> 915
98.9%
전체이용가 10
 
1.1%

Length

2024-05-11T03:23:19.167521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:19.462097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 915
98.9%
전체이용가 10
 
1.1%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing925
Missing (%)100.0%
Memory size8.3 KiB

지역구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
<NA>
892 
근린상업지역
 
31
일반주거지역
 
2

Length

Max length6
Median length4
Mean length4.0713514
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> 892
96.4%
근린상업지역 31
 
3.4%
일반주거지역 2
 
0.2%

Length

2024-05-11T03:23:19.826653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:23:20.375692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 892
96.4%
근린상업지역 31
 
3.4%
일반주거지역 2
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03060000CDFF224103198500000119850327<NA>3폐업3폐업20010622<NA><NA><NA>0433-2257<NA>131881서울특별시 중랑구 중화동 312-119번지<NA><NA>윤영2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>206732.2343455452.984823복합유통게임제공업유통관련업<NA>주택가주변<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>
13060000CDFF224103198500000219850401<NA>1영업/정상13영업중<NA><NA><NA><NA>493-8224<NA>131802서울특별시 중랑구 망우동 207-1번지서울특별시 중랑구 망우로 474 (망우동)<NA>부흥오락실2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>209177.682798455333.044482복합유통게임제공업유통관련업0주택가주변<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23060000CDFF224103198500000319850403<NA>1영업/정상13영업중<NA><NA><NA><NA>0439-4467<NA>131818서울특별시 중랑구 면목동 501-4번지서울특별시 중랑구 면목로 361 (면목동)<NA>반도2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>207722.581213453565.356093복합유통게임제공업유통관련업<NA>주택가주변<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>
33060000CDFF224103198500000419850403<NA>1영업/정상13영업중<NA><NA><NA><NA>2209-2921<NA>131820서울특별시 중랑구 면목동 147-6번지서울특별시 중랑구 겸재로 115 (면목동)<NA>신세대게임랜드2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>207047.664754453862.007333복합유통게임제공업유통관련업<NA>주택가주변<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>
43060000CDFF224103198500000519850403<NA>3폐업3폐업19970808<NA><NA><NA>492-6497<NA>131828서울특별시 중랑구 면목동 617-2번지서울특별시 중랑구 면목로 308 (면목동)<NA>극장2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>207702.839931453039.345529복합유통게임제공업유통관련업<NA>주택가주변<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>
53060000CDFF224103198500000619850403<NA>1영업/정상13영업중<NA><NA><NA><NA>976-8115<NA>131847서울특별시 중랑구 묵동 77-63번지서울특별시 중랑구 공릉로12가길 18 (묵동)<NA>테크노2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>207058.033337457160.207841복합유통게임제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63060000CDFF224103198500000719850403<NA>1영업/정상13영업중<NA><NA><NA><NA>0434-6431<NA>131803서울특별시 중랑구 망우동 342-4번지서울특별시 중랑구 망우로73길 38 (망우동)<NA>영2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>209066.470967455547.710696복합유통게임제공업유통관련업<NA>주택가주변<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>
73060000CDFF224103198500000819850403<NA>3폐업3폐업19991129<NA><NA><NA>0-0000<NA>131868서울특별시 중랑구 신내동 409-4번지<NA><NA>독수리2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>208567.356154456002.617172복합유통게임제공업유통관련업<NA>주택가주변<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>
83060000CDFF224103198500000919850408<NA>3폐업3폐업19990422<NA><NA><NA><NA><NA>131856서울특별시 중랑구 상봉동 184-1번지<NA><NA>한샘오락실2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA><NA><NA>복합유통게임제공업유통관련업0주택가주변<NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93060000CDFF224103198500001019850413<NA>1영업/정상13영업중<NA><NA><NA><NA>973-6300<NA>131853서울특별시 중랑구 묵동 245-7번지서울특별시 중랑구 동일로 859 (묵동)<NA>이티2003-04-18 17:03:26I2018-08-31 23:59:59.0<NA>206823.872242456078.392085복합유통게임제공업유통관련업<NA>주택가주변<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
9153060000CDFF224103201000000220100708<NA>3폐업3폐업20120507<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 134-2번지 2층서울특별시 중랑구 망우로 497 (망우동,2층)<NA>레인보우 멀티방2012-05-07 16:29:23I2018-08-31 23:59:59.0<NA>209420.600469455389.974367복합유통게임제공업유통관련업5<NA><NA>123.525<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반주거지역
9163060000CDFF224103201200000120120120<NA>3폐업3폐업20181128<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 130-22번지서울특별시 중랑구 망우로32길 28 (상봉동)2120제노PC방2018-11-28 17:28:55U2018-11-30 02:40:00.0<NA>206697.8745454487.769612복합유통게임제공업유통관련업3<NA><NA>373.1921<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
9173060000CDFF22410320120000022012-08-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 239-1 3층 1,2호서울특별시 중랑구 동일로 911, 1,2호 (묵동)2006불독 PC방2023-07-03 11:13:31U2022-12-07 00:05:00.0<NA>206747.044329456606.392649<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>
9183060000CDFF224103201400000120140307<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 101-15번지서울특별시 중랑구 면목로 492, 지하동 01호 (상봉동, 주연빌딩)2148찰리팝PC2019-12-06 17:12:01U2019-12-08 02:40:00.0<NA>207525.305572454847.071739복합유통게임제공업유통관련업<NA><NA><NA>418.32<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년게임제공업(플레이스테이션 2대)전체이용가<NA><NA><NA><NA>
9193060000CDFF224103201600000120160912<NA>3폐업3폐업20200813<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 239-2 지하서울특별시 중랑구 동일로 907 (묵동, 지하)2006짱 동전노래2020-08-13 17:12:38U2020-08-15 02:40:00.0<NA>206755.151729456558.081592복합유통게임제공업유통관련업<NA><NA>노래연습장206.48<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>노래연습장전체이용가<NA><NA><NA><NA>
9203060000CDFF224103201700000120170605<NA>3폐업3폐업20180530<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우로30길 8, 306호 (상봉동)2119피에스 레이싱2018-05-31 10:54:04I2018-08-31 23:59:59.0<NA>206492.087475454508.605124복합유통게임제공업유통관련업<NA><NA><NA>93.75<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
9213060000CDFF224103201800000120180719<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 613-10번지서울특별시 중랑구 봉화산로 215, 지층 (신내동)2054오썸코인노래연습장2018-07-19 17:34:02I2018-08-31 23:59:59.0<NA>208457.071353456153.414909복합유통게임제공업유통관련업<NA><NA>청소년게임제공업,노래연습장업260.0<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>코인노래연습장 룸 13개전체이용가<NA><NA><NA><NA>
9223060000CDFF224103201900000120191114<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 209-2 무궁화빌딩서울특별시 중랑구 망우로 473, 무궁화빌딩 2층 (망우동)2066엔투PC(N2PC)2022-05-03 10:49:25U2021-12-05 00:05:00.0<NA>209166.977424455394.237643<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>
9233060000CDFF224103202100000120210712<NA>3폐업3폐업20220907<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 587-4 삼영빌딩서울특별시 중랑구 신내로14길 22, 삼영빌딩 3층 (신내동)2069유지트PC 신내점2022-09-07 17:38:59U2021-12-09 00:09:00.0<NA>208475.908141455925.040627<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>
9243060000CDFF224103202200000120220218<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 51-1 2층서울특별시 중랑구 용마산로 408, gs25시 2층 (면목동)2192울랄라피씨2022-02-18 16:32:39I2022-02-20 00:22:37.0<NA>208430.677481453944.188797복합유통게임제공업유통관련업4기타휴게음식점177.331근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>전체이용가<NA><NA><NA>일반주거지역