Overview

Dataset statistics

Number of variables56
Number of observations528
Missing cells11776
Missing cells (%)39.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory250.2 KiB
Average record size in memory485.2 B

Variable types

Categorical19
Text7
DateTime4
Numeric7
Unsupported19

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-16692/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 has a high cardinality: 51 distinct valuesHigh cardinality
인허가취소일자 is highly imbalanced (98.0%)Imbalance
영업상태코드 is highly imbalanced (58.9%)Imbalance
영업상태명 is highly imbalanced (58.9%)Imbalance
상세영업상태명 is highly imbalanced (67.4%)Imbalance
휴업시작일자 is highly imbalanced (97.5%)Imbalance
휴업종료일자 is highly imbalanced (97.5%)Imbalance
소재지우편번호 is highly imbalanced (58.6%)Imbalance
데이터갱신구분 is highly imbalanced (59.3%)Imbalance
문화체육업종명 is highly imbalanced (75.0%)Imbalance
문화사업자구분명 is highly imbalanced (75.0%)Imbalance
지하층수 is highly imbalanced (83.2%)Imbalance
건물용도명 is highly imbalanced (93.9%)Imbalance
통로너비 is highly imbalanced (75.0%)Imbalance
조명시설조도 is highly imbalanced (75.0%)Imbalance
노래방실수 is highly imbalanced (75.0%)Imbalance
청소년실수 is highly imbalanced (75.0%)Imbalance
총게임기수 is highly imbalanced (75.0%)Imbalance
지역구분명 is highly imbalanced (93.2%)Imbalance
폐업일자 has 425 (80.5%) missing valuesMissing
재개업일자 has 528 (100.0%) missing valuesMissing
전화번호 has 165 (31.2%) missing valuesMissing
소재지면적 has 528 (100.0%) missing valuesMissing
도로명주소 has 53 (10.0%) missing valuesMissing
도로명우편번호 has 373 (70.6%) missing valuesMissing
업태구분명 has 528 (100.0%) missing valuesMissing
좌표정보(X) has 48 (9.1%) missing valuesMissing
좌표정보(Y) has 48 (9.1%) missing valuesMissing
총층수 has 22 (4.2%) missing valuesMissing
주변환경명 has 524 (99.2%) missing valuesMissing
제작취급품목내용 has 42 (8.0%) missing valuesMissing
시설면적 has 22 (4.2%) missing valuesMissing
지상층수 has 22 (4.2%) missing valuesMissing
비상계단여부 has 528 (100.0%) missing valuesMissing
비상구여부 has 528 (100.0%) missing valuesMissing
자동환기여부 has 528 (100.0%) missing valuesMissing
청소년실여부 has 528 (100.0%) missing valuesMissing
특수조명여부 has 528 (100.0%) missing valuesMissing
방음시설여부 has 528 (100.0%) missing valuesMissing
비디오재생기명 has 528 (100.0%) missing valuesMissing
조명시설유무 has 528 (100.0%) missing valuesMissing
음향시설여부 has 528 (100.0%) missing valuesMissing
편의시설여부 has 528 (100.0%) missing valuesMissing
소방시설여부 has 528 (100.0%) missing valuesMissing
기존게임업외업종명 has 528 (100.0%) missing valuesMissing
제공게임물명 has 528 (100.0%) missing valuesMissing
공연장형태구분명 has 528 (100.0%) missing valuesMissing
품목명 has 528 (100.0%) missing valuesMissing
최초등록시점 has 528 (100.0%) missing valuesMissing
시설면적 is highly skewed (γ1 = 21.62246368)Skewed
관리번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 498 (94.3%) zerosZeros
시설면적 has 335 (63.4%) zerosZeros
지상층수 has 488 (92.4%) zerosZeros

Reproduction

Analysis started2024-04-29 19:06:36.389894
Analysis finished2024-04-29 19:06:37.427073
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
3010000
528 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 528
100.0%

Length

2024-04-30T04:06:37.493347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:37.564687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 528
100.0%

관리번호
Text

UNIQUE 

Distinct528
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-04-30T04:06:37.697942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters10560
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

Unique528 ?
Unique (%)100.0%

Sample

1st rowCDFF2241081999000001
2nd rowCDFF2241081999000002
3rd rowCDFF2241081999000003
4th rowCDFF2241081999000004
5th rowCDFF2241081999000005
ValueCountFrequency (%)
cdff2241081999000001 1
 
0.2%
cdff2241082008000037 1
 
0.2%
cdff2241082009000008 1
 
0.2%
cdff2241082009000007 1
 
0.2%
cdff2241082009000005 1
 
0.2%
cdff2241082009000004 1
 
0.2%
cdff2241082009000003 1
 
0.2%
cdff2241082009000002 1
 
0.2%
cdff2241082009000001 1
 
0.2%
cdff2241082008000045 1
 
0.2%
Other values (518) 518
98.1%
2024-04-30T04:06:37.990940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3809
36.1%
2 1832
17.3%
F 1056
 
10.0%
1 921
 
8.7%
4 661
 
6.3%
8 625
 
5.9%
C 528
 
5.0%
D 528
 
5.0%
3 167
 
1.6%
9 146
 
1.4%
Other values (3) 287
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8448
80.0%
Uppercase Letter 2112
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3809
45.1%
2 1832
21.7%
1 921
 
10.9%
4 661
 
7.8%
8 625
 
7.4%
3 167
 
2.0%
9 146
 
1.7%
5 133
 
1.6%
6 84
 
1.0%
7 70
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 1056
50.0%
C 528
25.0%
D 528
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8448
80.0%
Latin 2112
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3809
45.1%
2 1832
21.7%
1 921
 
10.9%
4 661
 
7.8%
8 625
 
7.4%
3 167
 
2.0%
9 146
 
1.7%
5 133
 
1.6%
6 84
 
1.0%
7 70
 
0.8%
Latin
ValueCountFrequency (%)
F 1056
50.0%
C 528
25.0%
D 528
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3809
36.1%
2 1832
17.3%
F 1056
 
10.0%
1 921
 
8.7%
4 661
 
6.3%
8 625
 
5.9%
C 528
 
5.0%
D 528
 
5.0%
3 167
 
1.6%
9 146
 
1.4%
Other values (3) 287
 
2.7%

인허가일자
Date

Distinct461
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum1999-06-25 00:00:00
Maximum2024-04-05 00:00:00
2024-04-30T04:06:38.108055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:06:38.246291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
527 
20100721
 
1

Length

Max length8
Median length4
Mean length4.0075758
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 527
99.8%
20100721 1
 
0.2%

Length

2024-04-30T04:06:38.377923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:38.471034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 527
99.8%
20100721 1
 
0.2%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
1
422 
3
96 
4
 
9
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 422
79.9%
3 96
 
18.2%
4 9
 
1.7%
5 1
 
0.2%

Length

2024-04-30T04:06:38.554333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:38.642050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 422
79.9%
3 96
 
18.2%
4 9
 
1.7%
5 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
영업/정상
422 
폐업
96 
취소/말소/만료/정지/중지
 
9
제외/삭제/전출
 
1

Length

Max length14
Median length5
Mean length4.6136364
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 422
79.9%
폐업 96
 
18.2%
취소/말소/만료/정지/중지 9
 
1.7%
제외/삭제/전출 1
 
0.2%

Length

2024-04-30T04:06:38.747833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:38.831148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 422
79.9%
폐업 96
 
18.2%
취소/말소/만료/정지/중지 9
 
1.7%
제외/삭제/전출 1
 
0.2%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.515152
Minimum3
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-30T04:06:38.913694image/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 deviation4.7630533
Coefficient of variation (CV)0.41363358
Kurtosis6.4632525
Mean11.515152
Median Absolute Deviation (MAD)0
Skewness0.56707396
Sum6080
Variance22.686677
MonotonicityNot monotonic
2024-04-30T04:06:38.999815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13 422
79.9%
3 96
 
18.2%
35 6
 
1.1%
25 2
 
0.4%
31 1
 
0.2%
15 1
 
0.2%
ValueCountFrequency (%)
3 96
 
18.2%
13 422
79.9%
15 1
 
0.2%
25 2
 
0.4%
31 1
 
0.2%
35 6
 
1.1%
ValueCountFrequency (%)
35 6
 
1.1%
31 1
 
0.2%
25 2
 
0.4%
15 1
 
0.2%
13 422
79.9%
3 96
 
18.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
영업중
422 
폐업
96 
직권말소
 
6
영업정지
 
2
등록취소
 
1

Length

Max length4
Median length3
Mean length2.8333333
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 422
79.9%
폐업 96
 
18.2%
직권말소 6
 
1.1%
영업정지 2
 
0.4%
등록취소 1
 
0.2%
전출 1
 
0.2%

Length

2024-04-30T04:06:39.117232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:39.217282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 422
79.9%
폐업 96
 
18.2%
직권말소 6
 
1.1%
영업정지 2
 
0.4%
등록취소 1
 
0.2%
전출 1
 
0.2%

폐업일자
Date

MISSING 

Distinct99
Distinct (%)96.1%
Missing425
Missing (%)80.5%
Memory size4.3 KiB
Minimum2005-10-27 00:00:00
Maximum2024-02-22 00:00:00
2024-04-30T04:06:39.325941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:06:39.437360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
526 
20060926
 
1
20081117
 
1

Length

Max length8
Median length4
Mean length4.0151515
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 526
99.6%
20060926 1
 
0.2%
20081117 1
 
0.2%

Length

2024-04-30T04:06:39.548540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:39.649577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 526
99.6%
20060926 1
 
0.2%
20081117 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
526 
20061224
 
1
20081216
 
1

Length

Max length8
Median length4
Mean length4.0151515
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 526
99.6%
20061224 1
 
0.2%
20081216 1
 
0.2%

Length

2024-04-30T04:06:39.766919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:39.872527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 526
99.6%
20061224 1
 
0.2%
20081216 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

전화번호
Text

MISSING 

Distinct337
Distinct (%)92.8%
Missing165
Missing (%)31.2%
Memory size4.3 KiB
2024-04-30T04:06:40.104788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.3168044
Min length7

Characters and Unicode

Total characters3382
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique316 ?
Unique (%)87.1%

Sample

1st row2271-2531
2nd row2264-6488
3rd row2272-9397
4th row2278-1572
5th row2271-2425
ValueCountFrequency (%)
2278-2283 4
 
1.1%
2272-0712 3
 
0.8%
2278-0118 3
 
0.8%
2278-4704 3
 
0.8%
2260-2800 2
 
0.6%
2285-1105 2
 
0.6%
2265-3085 2
 
0.6%
2271-2845 2
 
0.6%
2285-0410 2
 
0.6%
2277-7773 2
 
0.6%
Other values (327) 338
93.1%
2024-04-30T04:06:40.476115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 792
23.4%
7 410
12.1%
- 399
11.8%
6 301
 
8.9%
0 261
 
7.7%
5 235
 
6.9%
4 216
 
6.4%
8 209
 
6.2%
3 197
 
5.8%
1 196
 
5.8%
Other values (3) 166
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2975
88.0%
Dash Punctuation 399
 
11.8%
Math Symbol 5
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 792
26.6%
7 410
13.8%
6 301
 
10.1%
0 261
 
8.8%
5 235
 
7.9%
4 216
 
7.3%
8 209
 
7.0%
3 197
 
6.6%
1 196
 
6.6%
9 158
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 399
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3382
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 792
23.4%
7 410
12.1%
- 399
11.8%
6 301
 
8.9%
0 261
 
7.7%
5 235
 
6.9%
4 216
 
6.4%
8 209
 
6.2%
3 197
 
5.8%
1 196
 
5.8%
Other values (3) 166
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3382
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 792
23.4%
7 410
12.1%
- 399
11.8%
6 301
 
8.9%
0 261
 
7.7%
5 235
 
6.9%
4 216
 
6.4%
8 209
 
6.2%
3 197
 
5.8%
1 196
 
5.8%
Other values (3) 166
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

소재지우편번호
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct51
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
243 
100340
184 
100848
36 
100272
 
4
100032
 
3
Other values (46)
58 

Length

Max length7
Median length6
Mean length5.0814394
Min length4

Unique

Unique37 ?
Unique (%)7.0%

Sample

1st row100340
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row100340

Common Values

ValueCountFrequency (%)
<NA> 243
46.0%
100340 184
34.8%
100848 36
 
6.8%
100272 4
 
0.8%
100032 3
 
0.6%
100330 3
 
0.6%
100031 3
 
0.6%
100080 3
 
0.6%
100798 2
 
0.4%
100715 2
 
0.4%
Other values (41) 45
 
8.5%

Length

2024-04-30T04:06:40.603325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 243
46.0%
100340 184
34.8%
100848 36
 
6.8%
100272 4
 
0.8%
100032 3
 
0.6%
100330 3
 
0.6%
100031 3
 
0.6%
100080 3
 
0.6%
100273 2
 
0.4%
100070 2
 
0.4%
Other values (41) 45
 
8.5%

지번주소
Text

Distinct332
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-04-30T04:06:40.766094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length30.702652
Min length17

Characters and Unicode

Total characters16211
Distinct characters196
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique262 ?
Unique (%)49.6%

Sample

1st row서울특별시 중구 산림동 ***-*번지 대림상가 ***-*
2nd row서울특별시 중구 산림동 ***-*번지 청계 ***
3rd row서울특별시 중구 산림동 ***-*번지 청계상가 ***호
4th row서울특별시 중구 산림동 ***-*번지 청계상가 ***-*
5th row서울특별시 중구 산림동 ***-*번지 대림상가 라열 ***호
ValueCountFrequency (%)
서울특별시 528
16.5%
중구 528
16.5%
번지 471
14.7%
산림동 340
10.6%
호 276
8.6%
대림상가 200
 
6.3%
144
 
4.5%
청계상가 104
 
3.3%
층 78
 
2.4%
을지로*가 52
 
1.6%
Other values (189) 477
14.9%
2024-04-30T04:06:41.053279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3499
21.6%
3139
19.4%
림 570
 
3.5%
- 561
 
3.5%
서 540
 
3.3%
울 535
 
3.3%
시 534
 
3.3%
중 533
 
3.3%
지 530
 
3.3%
별 529
 
3.3%
Other values (186) 5241
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8965
55.3%
Other Punctuation 3510
 
21.7%
Space Separator 3139
 
19.4%
Dash Punctuation 561
 
3.5%
Uppercase Letter 15
 
0.1%
Decimal Number 8
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
림 570
 
6.4%
서 540
 
6.0%
울 535
 
6.0%
시 534
 
6.0%
중 533
 
5.9%
지 530
 
5.9%
별 529
 
5.9%
특 528
 
5.9%
구 528
 
5.9%
가 494
 
5.5%
Other values (159) 3644
40.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
20.0%
A 2
13.3%
T 2
13.3%
D 1
 
6.7%
K 1
 
6.7%
C 1
 
6.7%
L 1
 
6.7%
P 1
 
6.7%
G 1
 
6.7%
I 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
0 2
25.0%
5 1
 
12.5%
7 1
 
12.5%
6 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
* 3499
99.7%
, 8
 
0.2%
. 2
 
0.1%
/ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
i 2
66.7%
n 1
33.3%
Space Separator
ValueCountFrequency (%)
3139
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 561
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8965
55.3%
Common 7228
44.6%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
림 570
 
6.4%
서 540
 
6.0%
울 535
 
6.0%
시 534
 
6.0%
중 533
 
5.9%
지 530
 
5.9%
별 529
 
5.9%
특 528
 
5.9%
구 528
 
5.9%
가 494
 
5.5%
Other values (159) 3644
40.6%
Common
ValueCountFrequency (%)
* 3499
48.4%
3139
43.4%
- 561
 
7.8%
, 8
 
0.1%
) 4
 
0.1%
( 4
 
0.1%
1 3
 
< 0.1%
. 2
 
< 0.1%
0 2
 
< 0.1%
~ 2
 
< 0.1%
Other values (4) 4
 
0.1%
Latin
ValueCountFrequency (%)
B 3
16.7%
i 2
11.1%
A 2
11.1%
T 2
11.1%
D 1
 
5.6%
K 1
 
5.6%
C 1
 
5.6%
L 1
 
5.6%
P 1
 
5.6%
G 1
 
5.6%
Other values (3) 3
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8965
55.3%
ASCII 7246
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3499
48.3%
3139
43.3%
- 561
 
7.7%
, 8
 
0.1%
) 4
 
0.1%
( 4
 
0.1%
1 3
 
< 0.1%
B 3
 
< 0.1%
. 2
 
< 0.1%
0 2
 
< 0.1%
Other values (17) 21
 
0.3%
Hangul
ValueCountFrequency (%)
림 570
 
6.4%
서 540
 
6.0%
울 535
 
6.0%
시 534
 
6.0%
중 533
 
5.9%
지 530
 
5.9%
별 529
 
5.9%
특 528
 
5.9%
구 528
 
5.9%
가 494
 
5.5%
Other values (159) 3644
40.6%

도로명주소
Text

MISSING 

Distinct311
Distinct (%)65.5%
Missing53
Missing (%)10.0%
Memory size4.3 KiB
2024-04-30T04:06:41.257511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length34.766316
Min length22

Characters and Unicode

Total characters16514
Distinct characters204
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique256 ?
Unique (%)53.9%

Sample

1st row서울특별시 중구 을지로 *** (산림동,대림상가 ***-*)
2nd row서울특별시 중구 청계천로 ***, ***호 (산림동, 청계상가)
3rd row서울특별시 중구 청계천로 *** (산림동,청계상가 ***호)
4th row서울특별시 중구 청계천로 *** (산림동,청계상가 ***-*)
5th row서울특별시 중구 을지로 *** (산림동,대림상가 라열 ***호)
ValueCountFrequency (%)
542
17.5%
서울특별시 475
15.3%
중구 475
15.3%
호 263
8.5%
을지로 238
 
7.7%
청계천로 121
 
3.9%
산림동,대림상가 112
 
3.6%
층 94
 
3.0%
산림동 81
 
2.6%
산림동,청계상가 66
 
2.1%
Other values (252) 631
20.4%
2024-04-30T04:06:41.573268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2995
18.1%
2940
17.8%
로 540
 
3.3%
림 526
 
3.2%
, 514
 
3.1%
서 495
 
3.0%
울 484
 
2.9%
시 482
 
2.9%
중 482
 
2.9%
( 478
 
2.9%
Other values (194) 6578
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8972
54.3%
Other Punctuation 3512
 
21.3%
Space Separator 2940
 
17.8%
Open Punctuation 478
 
2.9%
Close Punctuation 478
 
2.9%
Dash Punctuation 106
 
0.6%
Uppercase Letter 17
 
0.1%
Decimal Number 5
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 540
 
6.0%
림 526
 
5.9%
서 495
 
5.5%
울 484
 
5.4%
시 482
 
5.4%
중 482
 
5.4%
구 477
 
5.3%
별 476
 
5.3%
특 475
 
5.3%
가 447
 
5.0%
Other values (170) 4088
45.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
17.6%
T 3
17.6%
K 2
11.8%
A 2
11.8%
F 1
 
5.9%
D 1
 
5.9%
I 1
 
5.9%
G 1
 
5.9%
P 1
 
5.9%
L 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
* 2995
85.3%
, 514
 
14.6%
. 2
 
0.1%
/ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%
Lowercase Letter
ValueCountFrequency (%)
i 2
66.7%
n 1
33.3%
Space Separator
ValueCountFrequency (%)
2940
100.0%
Open Punctuation
ValueCountFrequency (%)
( 478
100.0%
Close Punctuation
ValueCountFrequency (%)
) 478
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8972
54.3%
Common 7522
45.5%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 540
 
6.0%
림 526
 
5.9%
서 495
 
5.5%
울 484
 
5.4%
시 482
 
5.4%
중 482
 
5.4%
구 477
 
5.3%
별 476
 
5.3%
특 475
 
5.3%
가 447
 
5.0%
Other values (170) 4088
45.6%
Latin
ValueCountFrequency (%)
B 3
15.0%
T 3
15.0%
K 2
10.0%
A 2
10.0%
i 2
10.0%
n 1
 
5.0%
F 1
 
5.0%
D 1
 
5.0%
I 1
 
5.0%
G 1
 
5.0%
Other values (3) 3
15.0%
Common
ValueCountFrequency (%)
* 2995
39.8%
2940
39.1%
, 514
 
6.8%
( 478
 
6.4%
) 478
 
6.4%
- 106
 
1.4%
2 3
 
< 0.1%
~ 3
 
< 0.1%
. 2
 
< 0.1%
1 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8972
54.3%
ASCII 7542
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2995
39.7%
2940
39.0%
, 514
 
6.8%
( 478
 
6.3%
) 478
 
6.3%
- 106
 
1.4%
2 3
 
< 0.1%
~ 3
 
< 0.1%
B 3
 
< 0.1%
T 3
 
< 0.1%
Other values (14) 19
 
0.3%
Hangul
ValueCountFrequency (%)
로 540
 
6.0%
림 526
 
5.9%
서 495
 
5.5%
울 484
 
5.4%
시 482
 
5.4%
중 482
 
5.4%
구 477
 
5.3%
별 476
 
5.3%
특 475
 
5.3%
가 447
 
5.0%
Other values (170) 4088
45.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)32.3%
Missing373
Missing (%)70.6%
Infinite0
Infinite (%)0.0%
Mean8877.3032
Minimum4501
Maximum100340
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-30T04:06:41.703696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4501
5-th percentile4516
Q14545
median4545
Q34556.5
95-th percentile4637
Maximum100340
Range95839
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation19951.205
Coefficient of variation (CV)2.2474398
Kurtosis17.797508
Mean8877.3032
Median Absolute Deviation (MAD)4
Skewness4.423568
Sum1375982
Variance3.9805058 × 108
MonotonicityNot monotonic
2024-04-30T04:06:41.825773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4545 74
 
14.0%
4521 9
 
1.7%
100340 6
 
1.1%
4559 4
 
0.8%
4516 4
 
0.8%
4554 3
 
0.6%
4637 3
 
0.6%
4534 2
 
0.4%
4541 2
 
0.4%
4557 2
 
0.4%
Other values (40) 46
 
8.7%
(Missing) 373
70.6%
ValueCountFrequency (%)
4501 1
 
0.2%
4502 1
 
0.2%
4507 1
 
0.2%
4513 2
 
0.4%
4516 4
0.8%
4519 1
 
0.2%
4520 1
 
0.2%
4521 9
1.7%
4522 1
 
0.2%
4534 2
 
0.4%
ValueCountFrequency (%)
100340 6
1.1%
100194 1
 
0.2%
4637 3
0.6%
4633 2
 
0.4%
4631 1
 
0.2%
4630 1
 
0.2%
4628 1
 
0.2%
4626 1
 
0.2%
4623 2
 
0.4%
4622 1
 
0.2%

사업장명
Text

Distinct502
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-04-30T04:06:42.199868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length6.2518939
Min length2

Characters and Unicode

Total characters3301
Distinct characters364
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

Unique476 ?
Unique (%)90.2%

Sample

1st row일출전자
2nd row유니언버드(UNIONBIRD)
3rd row대덕전자
4th row범우전자
5th row명동전자
ValueCountFrequency (%)
주식회사 11
 
1.9%
소프트 6
 
1.0%
soft 3
 
0.5%
스튜디오 3
 
0.5%
엔터테인먼트 2
 
0.3%
inc 2
 
0.3%
화성전자 2
 
0.3%
시스템 2
 
0.3%
유한회사 2
 
0.3%
전자 2
 
0.3%
Other values (524) 551
94.0%
2024-04-30T04:06:42.550462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 144
 
4.4%
주 144
 
4.4%
) 144
 
4.4%
전 141
 
4.3%
자 141
 
4.3%
이 119
 
3.6%
스 97
 
2.9%
트 90
 
2.7%
아 59
 
1.8%
58
 
1.8%
Other values (354) 2164
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2731
82.7%
Uppercase Letter 145
 
4.4%
Open Punctuation 144
 
4.4%
Close Punctuation 144
 
4.4%
Space Separator 58
 
1.8%
Lowercase Letter 48
 
1.5%
Other Punctuation 19
 
0.6%
Decimal Number 6
 
0.2%
Dash Punctuation 4
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 144
 
5.3%
전 141
 
5.2%
자 141
 
5.2%
이 119
 
4.4%
스 97
 
3.6%
트 90
 
3.3%
아 59
 
2.2%
프 57
 
2.1%
테 48
 
1.8%
소 46
 
1.7%
Other values (303) 1789
65.5%
Uppercase Letter
ValueCountFrequency (%)
S 15
 
10.3%
O 12
 
8.3%
G 11
 
7.6%
E 10
 
6.9%
T 9
 
6.2%
I 9
 
6.2%
N 8
 
5.5%
M 7
 
4.8%
Y 7
 
4.8%
C 6
 
4.1%
Other values (13) 51
35.2%
Lowercase Letter
ValueCountFrequency (%)
a 7
14.6%
e 5
10.4%
m 4
 
8.3%
r 4
 
8.3%
c 4
 
8.3%
y 3
 
6.2%
t 3
 
6.2%
n 3
 
6.2%
h 2
 
4.2%
o 2
 
4.2%
Other values (8) 11
22.9%
Other Punctuation
ValueCountFrequency (%)
. 11
57.9%
& 8
42.1%
Decimal Number
ValueCountFrequency (%)
2 4
66.7%
1 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 144
100.0%
Close Punctuation
ValueCountFrequency (%)
) 144
100.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2732
82.8%
Common 376
 
11.4%
Latin 193
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 144
 
5.3%
전 141
 
5.2%
자 141
 
5.2%
이 119
 
4.4%
스 97
 
3.6%
트 90
 
3.3%
아 59
 
2.2%
프 57
 
2.1%
테 48
 
1.8%
소 46
 
1.7%
Other values (304) 1790
65.5%
Latin
ValueCountFrequency (%)
S 15
 
7.8%
O 12
 
6.2%
G 11
 
5.7%
E 10
 
5.2%
T 9
 
4.7%
I 9
 
4.7%
N 8
 
4.1%
M 7
 
3.6%
a 7
 
3.6%
Y 7
 
3.6%
Other values (31) 98
50.8%
Common
ValueCountFrequency (%)
( 144
38.3%
) 144
38.3%
58
15.4%
. 11
 
2.9%
& 8
 
2.1%
2 4
 
1.1%
- 4
 
1.1%
1 2
 
0.5%
+ 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2731
82.7%
ASCII 569
 
17.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 144
25.3%
) 144
25.3%
58
 
10.2%
S 15
 
2.6%
O 12
 
2.1%
G 11
 
1.9%
. 11
 
1.9%
E 10
 
1.8%
T 9
 
1.6%
I 9
 
1.6%
Other values (40) 146
25.7%
Hangul
ValueCountFrequency (%)
주 144
 
5.3%
전 141
 
5.2%
자 141
 
5.2%
이 119
 
4.4%
스 97
 
3.6%
트 90
 
3.3%
아 59
 
2.2%
프 57
 
2.1%
테 48
 
1.8%
소 46
 
1.7%
Other values (303) 1789
65.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

Distinct525
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum2006-03-03 14:30:23
Maximum2024-04-25 08:57:32
2024-04-30T04:06:42.662281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:06:42.777044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
I
485 
U
 
43

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 485
91.9%
U 43
 
8.1%

Length

2024-04-30T04:06:42.878086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:42.963442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 485
91.9%
u 43
 
8.1%

데이터갱신일자
Date

Distinct62
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T04:06:43.048720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:06:43.156909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)24.0%
Missing48
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean199417.49
Minimum196864.94
Maximum201781.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-30T04:06:43.278756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196864.94
5-th percentile198068.09
Q1199521.2
median199526.42
Q3199526.42
95-th percentile200661.83
Maximum201781.41
Range4916.4639
Interquartile range (IQR)5.2153301

Descriptive statistics

Standard deviation649.09783
Coefficient of variation (CV)0.0032549694
Kurtosis4.1070674
Mean199417.49
Median Absolute Deviation (MAD)5.2153301
Skewness-0.72753488
Sum95720395
Variance421328
MonotonicityNot monotonic
2024-04-30T04:06:43.411114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199526.416139264 191
36.2%
199521.200809167 110
20.8%
199534.329650967 38
 
7.2%
198306.905839189 9
 
1.7%
199378.798616193 3
 
0.6%
199810.591813598 3
 
0.6%
201749.522310148 2
 
0.4%
199598.615023569 2
 
0.4%
199018.466688723 2
 
0.4%
197791.105095409 2
 
0.4%
Other values (105) 118
22.3%
(Missing) 48
 
9.1%
ValueCountFrequency (%)
196864.942838297 1
0.2%
196957.591458473 1
0.2%
197118.982921493 1
0.2%
197174.591536243 1
0.2%
197195.560435667 1
0.2%
197279.328436862 1
0.2%
197346.664858178 2
0.4%
197424.712852952 1
0.2%
197546.591214324 1
0.2%
197566.862311117 1
0.2%
ValueCountFrequency (%)
201781.406712018 1
0.2%
201749.522310148 2
0.4%
201426.358954644 1
0.2%
201288.51002001 1
0.2%
201040.352596045 1
0.2%
201016.89007232 1
0.2%
200918.320331305 1
0.2%
200912.763957462 2
0.4%
200875.959598982 2
0.4%
200845.70437932 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)24.0%
Missing48
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean451531.25
Minimum449562.22
Maximum451864.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-30T04:06:43.526371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449562.22
5-th percentile450590.03
Q1451608.22
median451693.21
Q3451751.42
95-th percentile451751.42
Maximum451864.75
Range2302.5343
Interquartile range (IQR)143.20128

Descriptive statistics

Standard deviation396.4494
Coefficient of variation (CV)0.00087801098
Kurtosis6.232768
Mean451531.25
Median Absolute Deviation (MAD)58.212876
Skewness-2.5155337
Sum2.16735 × 108
Variance157172.13
MonotonicityNot monotonic
2024-04-30T04:06:43.644877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451693.211256949 191
36.2%
451751.424132583 110
20.8%
451608.222852119 38
 
7.2%
451808.098341971 9
 
1.7%
450888.785362222 3
 
0.6%
451300.59780961 3
 
0.6%
451261.910140064 2
 
0.4%
450641.555963439 2
 
0.4%
451463.482685622 2
 
0.4%
450173.966697254 2
 
0.4%
Other values (105) 118
22.3%
(Missing) 48
 
9.1%
ValueCountFrequency (%)
449562.218888591 1
0.2%
449597.665114778 1
0.2%
449638.824308081 1
0.2%
449975.690020504 1
0.2%
450052.301315633 1
0.2%
450078.855010335 2
0.4%
450100.127638921 1
0.2%
450173.966697254 2
0.4%
450183.509346463 1
0.2%
450245.124860792 1
0.2%
ValueCountFrequency (%)
451864.753229706 1
 
0.2%
451852.142613352 1
 
0.2%
451836.458256618 1
 
0.2%
451808.098341971 9
 
1.7%
451765.426505347 1
 
0.2%
451765.135412175 1
 
0.2%
451751.424132583 110
20.8%
451733.939840894 1
 
0.2%
451705.306153084 1
 
0.2%
451694.941155517 2
 
0.4%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
게임물제작업
506 
<NA>
 
22

Length

Max length6
Median length6
Mean length5.9166667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 506
95.8%
<NA> 22
 
4.2%

Length

2024-04-30T04:06:43.769749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:43.865162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 506
95.8%
na 22
 
4.2%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
유통관련업
506 
<NA>
 
22

Length

Max length5
Median length5
Mean length4.9583333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 506
95.8%
<NA> 22
 
4.2%

Length

2024-04-30T04:06:43.951529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:44.031065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 506
95.8%
na 22
 
4.2%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.2%
Missing22
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean0.088932806
Minimum0
Maximum15
Zeros498
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-30T04:06:44.102949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.84314125
Coefficient of variation (CV)9.480655
Kurtosis205.29339
Mean0.088932806
Median Absolute Deviation (MAD)0
Skewness13.084575
Sum45
Variance0.71088718
MonotonicityNot monotonic
2024-04-30T04:06:44.186809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 498
94.3%
4 3
 
0.6%
5 2
 
0.4%
15 1
 
0.2%
2 1
 
0.2%
6 1
 
0.2%
(Missing) 22
 
4.2%
ValueCountFrequency (%)
0 498
94.3%
2 1
 
0.2%
4 3
 
0.6%
5 2
 
0.4%
6 1
 
0.2%
15 1
 
0.2%
ValueCountFrequency (%)
15 1
 
0.2%
6 1
 
0.2%
5 2
 
0.4%
4 3
 
0.6%
2 1
 
0.2%
0 498
94.3%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing524
Missing (%)99.2%
Memory size4.3 KiB
2024-04-30T04:06:44.289573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length3.5
Min length2

Characters and Unicode

Total characters14
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)25.0%

Sample

1st row유흥업소밀집지역
2nd row기타
3rd row기타
4th row기타
ValueCountFrequency (%)
기타 3
75.0%
유흥업소밀집지역 1
 
25.0%
2024-04-30T04:06:44.517517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 3
21.4%
타 3
21.4%
유 1
 
7.1%
흥 1
 
7.1%
업 1
 
7.1%
소 1
 
7.1%
밀 1
 
7.1%
집 1
 
7.1%
지 1
 
7.1%
역 1
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3
21.4%
타 3
21.4%
유 1
 
7.1%
흥 1
 
7.1%
업 1
 
7.1%
소 1
 
7.1%
밀 1
 
7.1%
집 1
 
7.1%
지 1
 
7.1%
역 1
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3
21.4%
타 3
21.4%
유 1
 
7.1%
흥 1
 
7.1%
업 1
 
7.1%
소 1
 
7.1%
밀 1
 
7.1%
집 1
 
7.1%
지 1
 
7.1%
역 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 3
21.4%
타 3
21.4%
유 1
 
7.1%
흥 1
 
7.1%
업 1
 
7.1%
소 1
 
7.1%
밀 1
 
7.1%
집 1
 
7.1%
지 1
 
7.1%
역 1
 
7.1%

제작취급품목내용
Text

MISSING 

Distinct101
Distinct (%)20.8%
Missing42
Missing (%)8.0%
Memory size4.3 KiB
2024-04-30T04:06:44.706735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length3
Mean length4.7613169
Min length2

Characters and Unicode

Total characters2314
Distinct characters119
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)16.7%

Sample

1st row게임물
2nd row게임물
3rd row게임물
4th row게임물
5th row게임물
ValueCountFrequency (%)
게임물 279
49.6%
게임기 36
 
6.4%
아케이드 30
 
5.3%
업소용게임 27
 
4.8%
게임 20
 
3.6%
오락기 11
 
2.0%
모바일 11
 
2.0%
및 9
 
1.6%
게임제작업 7
 
1.2%
게임물(아케이드 6
 
1.1%
Other values (94) 126
22.4%
2024-04-30T04:06:45.030771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 450
19.4%
임 450
19.4%
물 302
13.1%
기 95
 
4.1%
77
 
3.3%
이 63
 
2.7%
드 62
 
2.7%
케 61
 
2.6%
아 60
 
2.6%
소 45
 
1.9%
Other values (109) 649
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2097
90.6%
Space Separator 77
 
3.3%
Other Punctuation 44
 
1.9%
Uppercase Letter 40
 
1.7%
Open Punctuation 27
 
1.2%
Close Punctuation 27
 
1.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 450
21.5%
임 450
21.5%
물 302
14.4%
기 95
 
4.5%
이 63
 
3.0%
드 62
 
3.0%
케 61
 
2.9%
아 60
 
2.9%
소 45
 
2.1%
업 43
 
2.1%
Other values (92) 466
22.2%
Uppercase Letter
ValueCountFrequency (%)
C 13
32.5%
P 13
32.5%
B 4
 
10.0%
D 4
 
10.0%
V 3
 
7.5%
R 2
 
5.0%
A 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 37
84.1%
. 4
 
9.1%
: 1
 
2.3%
？ 1
 
2.3%
/ 1
 
2.3%
Decimal Number
ValueCountFrequency (%)
8 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2097
90.6%
Common 177
 
7.6%
Latin 40
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 450
21.5%
임 450
21.5%
물 302
14.4%
기 95
 
4.5%
이 63
 
3.0%
드 62
 
3.0%
케 61
 
2.9%
아 60
 
2.9%
소 45
 
2.1%
업 43
 
2.1%
Other values (92) 466
22.2%
Common
ValueCountFrequency (%)
77
43.5%
, 37
20.9%
( 27
 
15.3%
) 27
 
15.3%
. 4
 
2.3%
: 1
 
0.6%
8 1
 
0.6%
？ 1
 
0.6%
2 1
 
0.6%
/ 1
 
0.6%
Latin
ValueCountFrequency (%)
C 13
32.5%
P 13
32.5%
B 4
 
10.0%
D 4
 
10.0%
V 3
 
7.5%
R 2
 
5.0%
A 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2097
90.6%
ASCII 216
 
9.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 450
21.5%
임 450
21.5%
물 302
14.4%
기 95
 
4.5%
이 63
 
3.0%
드 62
 
3.0%
케 61
 
2.9%
아 60
 
2.9%
소 45
 
2.1%
업 43
 
2.1%
Other values (92) 466
22.2%
ASCII
ValueCountFrequency (%)
77
35.6%
, 37
17.1%
( 27
 
12.5%
) 27
 
12.5%
C 13
 
6.0%
P 13
 
6.0%
B 4
 
1.9%
D 4
 
1.9%
. 4
 
1.9%
V 3
 
1.4%
Other values (6) 7
 
3.2%
None
ValueCountFrequency (%)
？ 1
100.0%

시설면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct105
Distinct (%)20.8%
Missing22
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean121.44611
Minimum0
Maximum41598.11
Zeros335
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-30T04:06:45.147416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314.17
95-th percentile83.5575
Maximum41598.11
Range41598.11
Interquartile range (IQR)14.17

Descriptive statistics

Standard deviation1873.7928
Coefficient of variation (CV)15.429007
Kurtosis478.1943
Mean121.44611
Median Absolute Deviation (MAD)0
Skewness21.622464
Sum61451.73
Variance3511099.4
MonotonicityNot monotonic
2024-04-30T04:06:45.251895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 335
63.4%
33.0 10
 
1.9%
1.0 8
 
1.5%
16.15 8
 
1.5%
10.0 6
 
1.1%
14.17 6
 
1.1%
21.0 6
 
1.1%
12.0 4
 
0.8%
30.0 3
 
0.6%
16.5 3
 
0.6%
Other values (95) 117
 
22.2%
(Missing) 22
 
4.2%
ValueCountFrequency (%)
0.0 335
63.4%
1.0 8
 
1.5%
1.5 1
 
0.2%
1.65 1
 
0.2%
2.0 2
 
0.4%
4.76 1
 
0.2%
5.75 3
 
0.6%
6.27 1
 
0.2%
6.61 1
 
0.2%
7.2 2
 
0.4%
ValueCountFrequency (%)
41598.11 1
0.2%
5227.26 1
0.2%
4144.25 1
0.2%
1471.8 1
0.2%
1386.0 1
0.2%
766.94 1
0.2%
489.0 1
0.2%
472.05 1
0.2%
436.35 1
0.2%
168.0 1
0.2%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.2%
Missing22
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean0.11067194
Minimum0
Maximum5
Zeros488
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-30T04:06:45.347434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.60656862
Coefficient of variation (CV)5.4807807
Kurtosis32.719869
Mean0.11067194
Median Absolute Deviation (MAD)0
Skewness5.7157064
Sum56
Variance0.36792549
MonotonicityNot monotonic
2024-04-30T04:06:45.449378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 488
92.4%
3 6
 
1.1%
4 6
 
1.1%
2 4
 
0.8%
5 1
 
0.2%
1 1
 
0.2%
(Missing) 22
 
4.2%
ValueCountFrequency (%)
0 488
92.4%
1 1
 
0.2%
2 4
 
0.8%
3 6
 
1.1%
4 6
 
1.1%
5 1
 
0.2%
ValueCountFrequency (%)
5 1
 
0.2%
4 6
 
1.1%
3 6
 
1.1%
2 4
 
0.8%
1 1
 
0.2%
0 488
92.4%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
501 
<NA>
 
22
1
 
3
2
 
2

Length

Max length4
Median length1
Mean length1.125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 501
94.9%
<NA> 22
 
4.2%
1 3
 
0.6%
2 2
 
0.4%

Length

2024-04-30T04:06:45.559273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:45.639179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 501
94.9%
na 22
 
4.2%
1 3
 
0.6%
2 2
 
0.4%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
522 
사무실
 
5
근린생활시설
 
1

Length

Max length6
Median length4
Mean length3.9943182
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 522
98.9%
사무실 5
 
0.9%
근린생활시설 1
 
0.2%

Length

2024-04-30T04:06:45.726582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:45.805151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 522
98.9%
사무실 5
 
0.9%
근린생활시설 1
 
0.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
506 
<NA>
 
22

Length

Max length4
Median length1
Mean length1.125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 506
95.8%
<NA> 22
 
4.2%

Length

2024-04-30T04:06:45.898726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:45.987080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 506
95.8%
na 22
 
4.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
506 
<NA>
 
22

Length

Max length4
Median length1
Mean length1.125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 506
95.8%
<NA> 22
 
4.2%

Length

2024-04-30T04:06:46.083172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:46.163366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 506
95.8%
na 22
 
4.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
506 
<NA>
 
22

Length

Max length4
Median length1
Mean length1.125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 506
95.8%
<NA> 22
 
4.2%

Length

2024-04-30T04:06:46.247631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:46.331568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 506
95.8%
na 22
 
4.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
506 
<NA>
 
22

Length

Max length4
Median length1
Mean length1.125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 506
95.8%
<NA> 22
 
4.2%

Length

2024-04-30T04:06:46.427161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:46.508485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 506
95.8%
na 22
 
4.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
506 
<NA>
 
22

Length

Max length4
Median length1
Mean length1.125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 506
95.8%
<NA> 22
 
4.2%

Length

2024-04-30T04:06:46.594852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:46.671563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 506
95.8%
na 22
 
4.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
519 
상업지역
 
3
주거지역
 
3
준주거지역
 
2
일반주거지역
 
1

Length

Max length6
Median length4
Mean length4.0075758
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 519
98.3%
상업지역 3
 
0.6%
주거지역 3
 
0.6%
준주거지역 2
 
0.4%
일반주거지역 1
 
0.2%

Length

2024-04-30T04:06:46.762190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:46.858794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 519
98.3%
상업지역 3
 
0.6%
주거지역 3
 
0.6%
준주거지역 2
 
0.4%
일반주거지역 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF224108199900000119990625<NA>1영업/정상13영업중<NA><NA><NA><NA>2271-2531<NA>100340서울특별시 중구 산림동 ***-*번지 대림상가 ***-*서울특별시 중구 을지로 *** (산림동,대림상가 ***-*)<NA>일출전자2007-02-13 11:04:48I2018-08-31 23:59:59.0<NA>199526.416139451693.211257게임물제작업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13010000CDFF224108199900000219990625<NA>1영업/정상13영업중<NA><NA><NA><NA>2264-6488<NA><NA>서울특별시 중구 산림동 ***-*번지 청계 ***서울특별시 중구 청계천로 ***, ***호 (산림동, 청계상가)4545유니언버드(UNIONBIRD)2014-01-03 10:55:51I2018-08-31 23:59:59.0<NA>199521.200809451751.424133게임물제작업유통관련업0<NA>게임물33.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23010000CDFF224108199900000319990625<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 산림동 ***-*번지 청계상가 ***호서울특별시 중구 청계천로 *** (산림동,청계상가 ***호)<NA>대덕전자2014-01-03 15:54:45I2018-08-31 23:59:59.0<NA>199521.200809451751.424133게임물제작업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33010000CDFF224108199900000419990625<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 산림동 ***-*번지 청계상가 ***-*서울특별시 중구 청계천로 *** (산림동,청계상가 ***-*)<NA>범우전자2014-01-03 15:55:35I2018-08-31 23:59:59.0<NA>199521.200809451751.424133게임물제작업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43010000CDFF224108199900000519991112<NA>3폐업3폐업20120423<NA><NA><NA>2272-9397<NA>100340서울특별시 중구 산림동 ***-*번지 대림상가 라열 ***호서울특별시 중구 을지로 *** (산림동,대림상가 라열 ***호)<NA>명동전자2012-04-24 09:49:30I2018-08-31 23:59:59.0<NA>199526.416139451693.211257게임물제작업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53010000CDFF224108199900000619991210<NA>3폐업3폐업20130321<NA><NA><NA>2278-1572<NA>100340서울특별시 중구 산림동 ***-*번지 대림상가 ***호서울특별시 중구 을지로 *** (산림동,대림상가 ***호)<NA>알파소프트2013-03-26 17:11:50I2018-08-31 23:59:59.0<NA>199526.416139451693.211257게임물제작업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63010000CDFF224108199900000719991221<NA>1영업/정상13영업중<NA><NA><NA><NA>2271-2425<NA><NA>서울특별시 중구 산림동 ***-*번지 청계상가 ***호서울특별시 중구 청계천로 *** (산림동,청계상가 ***호)<NA>대성전자2014-01-03 15:38:26I2018-08-31 23:59:59.0<NA>199521.200809451751.424133게임물제작업유통관련업0<NA>오락기기 및 프로그램0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73010000CDFF224108199900000819991206<NA>1영업/정상13영업중<NA><NA><NA><NA>2274-0172<NA>100340서울특별시 중구 산림동 ***-*번지 *층 ***호서울특별시 중구 을지로 *** (산림동,*층 ***호)<NA>(주)위캔산업2007-02-09 10:19:45I2018-08-31 23:59:59.0<NA>199526.416139451693.211257게임물제작업유통관련업0<NA>게임기0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83010000CDFF224108199900000919991126<NA>3폐업3폐업20190408<NA><NA><NA>2263-2667<NA><NA>서울특별시 중구 산림동 ***-*번지 대림상가 가열 ***호서울특별시 중구 을지로 ***, 가열***호 (산림동, 대림상가)4545삼우영상시스템2019-04-08 09:43:55U2019-04-10 02:40:00.0<NA>199526.416139451693.211257게임물제작업유통관련업0<NA>아케이드게임물30.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93010000CDFF224108199900001019991126<NA>1영업/정상13영업중<NA><NA><NA><NA>2278-1555<NA>100848서울특별시 중구 을지로*가 *-*번지 대림상가 라열 ***호서울특별시 중구 을지로 *** (을지로*가,대림상가 라열 ***호)<NA>골드전자2007-04-11 17:04:01I2018-08-31 23:59:59.0<NA>199534.329651451608.222852게임물제작업유통관련업0<NA>게임물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
5183010000CDFF22410820220000072022-08-30<NA>5제외/삭제/전출15전출2024-02-22<NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 ***-*서울특별시 중구 동호로**길 **, *층 ***호 (신당동)4607U2 Games2024-02-22 17:15:25U2023-12-01 22:04:00.0<NA>200875.959599450475.271042<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>
5193010000CDFF224108202200000820220830<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 ***-*서울특별시 중구 동호로**길 **, *층 ***호 (신당동)4607U2 Games2022-08-30 10:49:09I2021-12-09 00:01:00.0<NA>200875.959599450475.271042<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>
5203010000CDFF224108202200001020221026<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 예관동 **-** 동림비즈센터서울특별시 중구 창경궁로 **-*, 동림비즈센터 ***호 (예관동)4559플레이파이 스튜디오2022-10-26 09:13:39I2021-10-30 22:08:00.0<NA>199810.591814451300.59781<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>
5213010000CDFF22410820230000012011-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로*가 **-** 롯데 FiTin서울특별시 중구 을지로 ***, 롯데 FiTin **층 ****호 (을지로*가)4561(주)에이스프로젝트2023-02-24 20:22:05I2022-12-01 22:06:00.0<NA>200548.038848451497.626572<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>
5223010000CDFF22410820230000022020-07-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 ** 한국관광공사 서울센터서울특별시 중구 청계천로 **, 한국관광공사 서울센터 *층 ***호 (다동)4521주식회사 위라이드2023-02-27 20:09:04I2022-12-03 00:01:00.0<NA>198306.905839451808.098342<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>
5233010000CDFF22410820230000032004-06-29<NA>3폐업3폐업2023-10-31<NA><NA><NA>6292-6789<NA><NA>서울특별시 중구 명동*가 **-* 타임워크명동빌딩서울특별시 중구 남대문로 **, 타임워크명동빌딩 *층 (명동*가)4534(주)에이블씨엔씨2023-10-31 10:12:42U2022-11-01 00:02:00.0<NA>198433.903212451323.21629<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>
5243010000CDFF22410820230000042023-11-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 저동*가 ** 비즈센터서울특별시 중구 수표로 **, 비즈센터 ***~***호 (저동*가)4551(주)비즈아이솔루션2023-11-06 10:26:27I2022-11-01 00:08:00.0<NA>199018.466689451463.482686<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>
5253010000CDFF22410820230000052019-10-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로*가 **-* 부성빌딩서울특별시 중구 창경궁로 *, 부성빌딩 ****호 (충무로*가)4559유한회사 체리츠2023-11-08 17:32:10I2022-10-31 23:00:00.0<NA>199822.109797451182.266913<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>
5263010000CDFF22410820240000012019-06-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 다동 ** 한국관광공사 서울센터서울특별시 중구 청계천로 **, 한국관광공사 서울센터 **층 ****호 (다동)4521주식회사 카셀게임즈2024-03-11 09:49:59U2023-12-02 23:03:00.0<NA>198306.905839451808.098342<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>
5273010000CDFF22410820240000022024-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 장교동 * 장교빌딩서울특별시 중구 삼일대로 ***, 장교빌딩 ***호 (장교동)4541주식회사 디스켓2024-04-05 17:27:33I2023-12-04 00:07:00.0<NA>198744.433229451677.065126<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>