Overview

Dataset statistics

Number of variables60
Number of observations387
Missing cells12908
Missing cells (%)55.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory198.2 KiB
Average record size in memory524.3 B

Variable types

Numeric11
Categorical12
Text6
Unsupported30
DateTime1

Dataset

Description2021-02-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123063

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (61.6%)Imbalance
영업상태명 is highly imbalanced (61.6%)Imbalance
상세영업상태코드 is highly imbalanced (61.6%)Imbalance
상세영업상태명 is highly imbalanced (61.6%)Imbalance
주변환경명 is highly imbalanced (80.8%)Imbalance
지하층수 is highly imbalanced (71.9%)Imbalance
건물용도명 is highly imbalanced (76.0%)Imbalance
지역구분명 is highly imbalanced (78.5%)Imbalance
인허가취소일자 has 387 (100.0%) missing valuesMissing
폐업일자 has 334 (86.3%) missing valuesMissing
휴업시작일자 has 387 (100.0%) missing valuesMissing
휴업종료일자 has 387 (100.0%) missing valuesMissing
재개업일자 has 387 (100.0%) missing valuesMissing
소재지전화 has 197 (50.9%) missing valuesMissing
소재지면적 has 387 (100.0%) missing valuesMissing
소재지우편번호 has 387 (100.0%) missing valuesMissing
도로명전체주소 has 6 (1.6%) missing valuesMissing
도로명우편번호 has 70 (18.1%) missing valuesMissing
업태구분명 has 387 (100.0%) missing valuesMissing
좌표정보(x) has 5 (1.3%) missing valuesMissing
좌표정보(y) has 5 (1.3%) missing valuesMissing
문화사업자구분명 has 387 (100.0%) missing valuesMissing
총층수 has 320 (82.7%) missing valuesMissing
시설면적 has 73 (18.9%) missing valuesMissing
지상층수 has 288 (74.4%) missing valuesMissing
통로너비 has 387 (100.0%) missing valuesMissing
조명시설조도 has 387 (100.0%) missing valuesMissing
노래방실수 has 387 (100.0%) missing valuesMissing
청소년실수 has 387 (100.0%) missing valuesMissing
비상계단여부 has 387 (100.0%) missing valuesMissing
비상구여부 has 387 (100.0%) missing valuesMissing
자동환기여부 has 387 (100.0%) missing valuesMissing
청소년실여부 has 387 (100.0%) missing valuesMissing
특수조명여부 has 387 (100.0%) missing valuesMissing
방음시설여부 has 387 (100.0%) missing valuesMissing
비디오재생기명 has 387 (100.0%) missing valuesMissing
조명시설유무 has 387 (100.0%) missing valuesMissing
음향시설여부 has 387 (100.0%) missing valuesMissing
편의시설여부 has 387 (100.0%) missing valuesMissing
소방시설여부 has 387 (100.0%) missing valuesMissing
총게임기수 has 387 (100.0%) missing valuesMissing
기존게임업외업종명 has 387 (100.0%) missing valuesMissing
제공게임물명 has 387 (100.0%) missing valuesMissing
공연장형태구분명 has 387 (100.0%) missing valuesMissing
품목명 has 387 (100.0%) missing valuesMissing
최초등록시점 has 387 (100.0%) missing valuesMissing
Unnamed: 59 has 387 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 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
소재지우편번호 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
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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
총게임기수 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
Unnamed: 59 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 03:49:54.574211
Analysis finished2024-04-17 03:49:55.356091
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct387
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194
Minimum1
Maximum387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T12:49:55.414510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.3
Q197.5
median194
Q3290.5
95-th percentile367.7
Maximum387
Range386
Interquartile range (IQR)193

Descriptive statistics

Standard deviation111.86152
Coefficient of variation (CV)0.57660578
Kurtosis-1.2
Mean194
Median Absolute Deviation (MAD)97
Skewness0
Sum75078
Variance12513
MonotonicityStrictly increasing
2024-04-17T12:49:55.531924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
244 1
 
0.3%
266 1
 
0.3%
265 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
260 1
 
0.3%
259 1
 
0.3%
Other values (377) 377
97.4%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
387 1
0.3%
386 1
0.3%
385 1
0.3%
384 1
0.3%
383 1
0.3%
382 1
0.3%
381 1
0.3%
380 1
0.3%
379 1
0.3%
378 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
비디오물제작업
387 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 387
100.0%

Length

2024-04-17T12:49:55.633083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:55.703050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 387
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
03_10_05_P
387 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_10_05_P
2nd row03_10_05_P
3rd row03_10_05_P
4th row03_10_05_P
5th row03_10_05_P

Common Values

ValueCountFrequency (%)
03_10_05_P 387
100.0%

Length

2024-04-17T12:49:55.775529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:55.846959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_10_05_p 387
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3329043.9
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T12:49:55.916439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13300000
median3330000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation38567.156
Coefficient of variation (CV)0.011585055
Kurtosis-0.60034159
Mean3329043.9
Median Absolute Deviation (MAD)30000
Skewness-0.1224711
Sum1.28834 × 109
Variance1.4874255 × 109
MonotonicityNot monotonic
2024-04-17T12:49:56.015111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 113
29.2%
3290000 35
 
9.0%
3380000 35
 
9.0%
3310000 33
 
8.5%
3370000 28
 
7.2%
3350000 25
 
6.5%
3270000 19
 
4.9%
3390000 19
 
4.9%
3250000 18
 
4.7%
3300000 18
 
4.7%
Other values (6) 44
 
11.4%
ValueCountFrequency (%)
3250000 18
 
4.7%
3260000 5
 
1.3%
3270000 19
 
4.9%
3280000 5
 
1.3%
3290000 35
 
9.0%
3300000 18
 
4.7%
3310000 33
 
8.5%
3320000 7
 
1.8%
3330000 113
29.2%
3340000 14
 
3.6%
ValueCountFrequency (%)
3400000 11
 
2.8%
3390000 19
 
4.9%
3380000 35
 
9.0%
3370000 28
 
7.2%
3360000 2
 
0.5%
3350000 25
 
6.5%
3340000 14
 
3.6%
3330000 113
29.2%
3320000 7
 
1.8%
3310000 33
 
8.5%

관리번호
Text

Distinct136
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-04-17T12:49:56.172634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters7740
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

Unique72 ?
Unique (%)18.6%

Sample

1st rowCDFF1241072000000001
2nd rowCDFF1241072015000002
3rd rowCDFF1241072017000001
4th rowCDFF1241072000000002
5th rowCDFF1241072004000001
ValueCountFrequency (%)
cdff1241072019000001 12
 
3.1%
cdff1241072020000001 12
 
3.1%
cdff1241072018000001 12
 
3.1%
cdff1241072020000002 11
 
2.8%
cdff1241072017000001 11
 
2.8%
cdff1241072016000001 10
 
2.6%
cdff1241072015000001 10
 
2.6%
cdff1241072012000001 9
 
2.3%
cdff1241072011000001 9
 
2.3%
cdff1241072013000001 8
 
2.1%
Other values (126) 283
73.1%
2024-04-17T12:49:56.434287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2830
36.6%
1 1247
16.1%
2 933
 
12.1%
F 774
 
10.0%
4 446
 
5.8%
7 442
 
5.7%
C 387
 
5.0%
D 387
 
5.0%
9 76
 
1.0%
3 65
 
0.8%
Other values (3) 153
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6192
80.0%
Uppercase Letter 1548
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2830
45.7%
1 1247
20.1%
2 933
 
15.1%
4 446
 
7.2%
7 442
 
7.1%
9 76
 
1.2%
3 65
 
1.0%
6 55
 
0.9%
8 52
 
0.8%
5 46
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 774
50.0%
C 387
25.0%
D 387
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6192
80.0%
Latin 1548
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2830
45.7%
1 1247
20.1%
2 933
 
15.1%
4 446
 
7.2%
7 442
 
7.1%
9 76
 
1.2%
3 65
 
1.0%
6 55
 
0.9%
8 52
 
0.8%
5 46
 
0.7%
Latin
ValueCountFrequency (%)
F 774
50.0%
C 387
25.0%
D 387
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2830
36.6%
1 1247
16.1%
2 933
 
12.1%
F 774
 
10.0%
4 446
 
5.8%
7 442
 
5.7%
C 387
 
5.0%
D 387
 
5.0%
9 76
 
1.0%
3 65
 
0.8%
Other values (3) 153
 
2.0%

인허가일자
Real number (ℝ)

Distinct361
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20136560
Minimum19820629
Maximum20201221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T12:49:56.548661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19820629
5-th percentile20013896
Q120110113
median20150409
Q320181126
95-th percentile20200718
Maximum20201221
Range380592
Interquartile range (IQR)71012.5

Descriptive statistics

Standard deviation58690.452
Coefficient of variation (CV)0.0029146216
Kurtosis2.6585221
Mean20136560
Median Absolute Deviation (MAD)39910
Skewness-1.3129185
Sum7.7928486 × 109
Variance3.4445691 × 109
MonotonicityNot monotonic
2024-04-17T12:49:56.673097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200610 3
 
0.8%
20190322 2
 
0.5%
20051219 2
 
0.5%
20200327 2
 
0.5%
20080314 2
 
0.5%
20090623 2
 
0.5%
20140416 2
 
0.5%
20191128 2
 
0.5%
20131025 2
 
0.5%
20031126 2
 
0.5%
Other values (351) 366
94.6%
ValueCountFrequency (%)
19820629 1
0.3%
19870318 1
0.3%
19950215 1
0.3%
19991029 1
0.3%
19991126 1
0.3%
19991230 1
0.3%
20000616 1
0.3%
20000619 1
0.3%
20000630 1
0.3%
20000721 1
0.3%
ValueCountFrequency (%)
20201221 1
0.3%
20201216 1
0.3%
20201215 1
0.3%
20201127 1
0.3%
20201125 1
0.3%
20201113 1
0.3%
20201105 1
0.3%
20201104 1
0.3%
20201029 1
0.3%
20201028 1
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
1
334 
3
51 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 334
86.3%
3 51
 
13.2%
4 2
 
0.5%

Length

2024-04-17T12:49:56.776057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:56.855562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 334
86.3%
3 51
 
13.2%
4 2
 
0.5%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
영업/정상
334 
폐업
51 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.6511628
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 334
86.3%
폐업 51
 
13.2%
취소/말소/만료/정지/중지 2
 
0.5%

Length

2024-04-17T12:49:56.943284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:57.027293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 334
86.3%
폐업 51
 
13.2%
취소/말소/만료/정지/중지 2
 
0.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
13
334 
3
51 
35
 
2

Length

Max length2
Median length2
Mean length1.8682171
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 334
86.3%
3 51
 
13.2%
35 2
 
0.5%

Length

2024-04-17T12:49:57.117187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:57.195630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 334
86.3%
3 51
 
13.2%
35 2
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
영업중
334 
폐업
51 
직권말소
 
2

Length

Max length4
Median length3
Mean length2.873385
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 334
86.3%
폐업 51
 
13.2%
직권말소 2
 
0.5%

Length

2024-04-17T12:49:57.293326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:49:57.379821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 334
86.3%
폐업 51
 
13.2%
직권말소 2
 
0.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)100.0%
Missing334
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean20150867
Minimum20091118
Maximum20201222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T12:49:57.476184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091118
5-th percentile20091178
Q120130108
median20160311
Q320180713
95-th percentile20194860
Maximum20201222
Range110104
Interquartile range (IQR)50605

Descriptive statistics

Standard deviation35240.28
Coefficient of variation (CV)0.001748822
Kurtosis-1.0950606
Mean20150867
Median Absolute Deviation (MAD)20899
Skewness-0.41724184
Sum1.067996 × 109
Variance1.2418774 × 109
MonotonicityNot monotonic
2024-04-17T12:49:57.594947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111212 1
 
0.3%
20201109 1
 
0.3%
20191223 1
 
0.3%
20100118 1
 
0.3%
20170331 1
 
0.3%
20140430 1
 
0.3%
20190422 1
 
0.3%
20200304 1
 
0.3%
20161207 1
 
0.3%
20171120 1
 
0.3%
Other values (43) 43
 
11.1%
(Missing) 334
86.3%
ValueCountFrequency (%)
20091118 1
0.3%
20091119 1
0.3%
20091124 1
0.3%
20091214 1
0.3%
20091228 1
0.3%
20100118 1
0.3%
20100201 1
0.3%
20100303 1
0.3%
20100329 1
0.3%
20100407 1
0.3%
ValueCountFrequency (%)
20201222 1
0.3%
20201109 1
0.3%
20200304 1
0.3%
20191231 1
0.3%
20191223 1
0.3%
20191206 1
0.3%
20190611 1
0.3%
20190422 1
0.3%
20190201 1
0.3%
20190117 1
0.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

소재지전화
Text

MISSING 

Distinct187
Distinct (%)98.4%
Missing197
Missing (%)50.9%
Memory size3.2 KiB
2024-04-17T12:49:57.830139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length11.205263
Min length8

Characters and Unicode

Total characters2129
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

Unique184 ?
Unique (%)96.8%

Sample

1st row245-5253
2nd row243-8633
3rd row0513613373
4th row051-463-7741
5th row051-441-8288
ValueCountFrequency (%)
070-4866-6148 2
 
1.1%
051-744-3619 2
 
1.1%
626-0633 2
 
1.1%
051-1688-5187 1
 
0.5%
051-808-5205 1
 
0.5%
070-8632-2291 1
 
0.5%
051-958-3650 1
 
0.5%
070-4187-0270 1
 
0.5%
051-611-3323 1
 
0.5%
365-3774 1
 
0.5%
Other values (177) 177
93.2%
2024-04-17T12:49:58.148729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 336
15.8%
- 309
14.5%
1 269
12.6%
5 247
11.6%
7 185
8.7%
4 168
7.9%
2 134
 
6.3%
8 129
 
6.1%
6 128
 
6.0%
3 126
 
5.9%
Other values (3) 98
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1812
85.1%
Dash Punctuation 309
 
14.5%
Close Punctuation 6
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 336
18.5%
1 269
14.8%
5 247
13.6%
7 185
10.2%
4 168
9.3%
2 134
 
7.4%
8 129
 
7.1%
6 128
 
7.1%
3 126
 
7.0%
9 90
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 309
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2129
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 336
15.8%
- 309
14.5%
1 269
12.6%
5 247
11.6%
7 185
8.7%
4 168
7.9%
2 134
 
6.3%
8 129
 
6.1%
6 128
 
6.0%
3 126
 
5.9%
Other values (3) 98
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2129
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 336
15.8%
- 309
14.5%
1 269
12.6%
5 247
11.6%
7 185
8.7%
4 168
7.9%
2 134
 
6.3%
8 129
 
6.1%
6 128
 
6.0%
3 126
 
5.9%
Other values (3) 98
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

소재지전체주소
Text

Distinct369
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-04-17T12:49:58.362163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length26.963824
Min length12

Characters and Unicode

Total characters10435
Distinct characters285
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

Unique354 ?
Unique (%)91.5%

Sample

1st row부산광역시 중구 동광동2가 12-6번지 세동빌딩2층
2nd row부산광역시 중구 대청동1가 37-1번지
3rd row부산광역시 중구 영주동 23-3번지
4th row부산광역시 중구 중앙동2가 24번지 선박빌딩4층
5th row부산광역시 중구 중앙동3가 부산우체국 12층
ValueCountFrequency (%)
부산광역시 387
 
19.8%
해운대구 113
 
5.8%
우동 74
 
3.8%
수영구 35
 
1.8%
부산진구 35
 
1.8%
남구 33
 
1.7%
연제구 28
 
1.4%
재송동 27
 
1.4%
금정구 25
 
1.3%
대연동 20
 
1.0%
Other values (670) 1174
60.2%
2024-04-17T12:49:58.905070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1565
 
15.0%
산 497
 
4.8%
1 497
 
4.8%
부 466
 
4.5%
동 454
 
4.4%
광 406
 
3.9%
시 396
 
3.8%
역 388
 
3.7%
구 384
 
3.7%
지 355
 
3.4%
Other values (275) 5027
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6426
61.6%
Decimal Number 2123
 
20.3%
Space Separator 1565
 
15.0%
Dash Punctuation 281
 
2.7%
Uppercase Letter 25
 
0.2%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 497
 
7.7%
부 466
 
7.3%
동 454
 
7.1%
광 406
 
6.3%
시 396
 
6.2%
역 388
 
6.0%
구 384
 
6.0%
지 355
 
5.5%
번 340
 
5.3%
대 170
 
2.6%
Other values (246) 2570
40.0%
Decimal Number
ValueCountFrequency (%)
1 497
23.4%
2 270
12.7%
0 229
10.8%
4 224
10.6%
6 185
 
8.7%
5 179
 
8.4%
3 179
 
8.4%
7 147
 
6.9%
9 107
 
5.0%
8 106
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 8
32.0%
T 3
 
12.0%
A 3
 
12.0%
E 2
 
8.0%
S 2
 
8.0%
C 2
 
8.0%
N 2
 
8.0%
K 1
 
4.0%
I 1
 
4.0%
G 1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
n 1
33.3%
b 1
33.3%
Space Separator
ValueCountFrequency (%)
1565
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 281
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6426
61.6%
Common 3981
38.2%
Latin 28
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 497
 
7.7%
부 466
 
7.3%
동 454
 
7.1%
광 406
 
6.3%
시 396
 
6.2%
역 388
 
6.0%
구 384
 
6.0%
지 355
 
5.5%
번 340
 
5.3%
대 170
 
2.6%
Other values (246) 2570
40.0%
Common
ValueCountFrequency (%)
1565
39.3%
1 497
 
12.5%
- 281
 
7.1%
2 270
 
6.8%
0 229
 
5.8%
4 224
 
5.6%
6 185
 
4.6%
5 179
 
4.5%
3 179
 
4.5%
7 147
 
3.7%
Other values (6) 225
 
5.7%
Latin
ValueCountFrequency (%)
B 8
28.6%
T 3
 
10.7%
A 3
 
10.7%
E 2
 
7.1%
S 2
 
7.1%
C 2
 
7.1%
N 2
 
7.1%
K 1
 
3.6%
I 1
 
3.6%
e 1
 
3.6%
Other values (3) 3
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6426
61.6%
ASCII 4009
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1565
39.0%
1 497
 
12.4%
- 281
 
7.0%
2 270
 
6.7%
0 229
 
5.7%
4 224
 
5.6%
6 185
 
4.6%
5 179
 
4.5%
3 179
 
4.5%
7 147
 
3.7%
Other values (19) 253
 
6.3%
Hangul
ValueCountFrequency (%)
산 497
 
7.7%
부 466
 
7.3%
동 454
 
7.1%
광 406
 
6.3%
시 396
 
6.2%
역 388
 
6.0%
구 384
 
6.0%
지 355
 
5.5%
번 340
 
5.3%
대 170
 
2.6%
Other values (246) 2570
40.0%

도로명전체주소
Text

MISSING 

Distinct376
Distinct (%)98.7%
Missing6
Missing (%)1.6%
Memory size3.2 KiB
2024-04-17T12:49:59.178785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length34.923885
Min length21

Characters and Unicode

Total characters13306
Distinct characters330
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

Unique371 ?
Unique (%)97.4%

Sample

1st row부산광역시 중구 광복로97번길 19 (동광동2가,세동빌딩2층)
2nd row부산광역시 중구 대청로 121-1, 101동 1208호 (대청동1가)
3rd row부산광역시 중구 대영로 235, 8층 803호 (영주동)
4th row부산광역시 중구 중앙대로 63 (중앙동3가)
5th row부산광역시 중구 대청로 91-7 (대청동3가,매일빌딩3층)
ValueCountFrequency (%)
부산광역시 381
 
15.3%
해운대구 112
 
4.5%
우동 71
 
2.8%
수영구 35
 
1.4%
부산진구 35
 
1.4%
남구 33
 
1.3%
3층 29
 
1.2%
연제구 28
 
1.1%
센텀동로 26
 
1.0%
재송동 24
 
1.0%
Other values (830) 1719
69.0%
2024-04-17T12:49:59.575077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2170
 
16.3%
동 507
 
3.8%
산 503
 
3.8%
부 469
 
3.5%
1 438
 
3.3%
, 431
 
3.2%
광 416
 
3.1%
시 401
 
3.0%
로 386
 
2.9%
구 386
 
2.9%
Other values (320) 7199
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7770
58.4%
Space Separator 2170
 
16.3%
Decimal Number 2091
 
15.7%
Other Punctuation 431
 
3.2%
Open Punctuation 375
 
2.8%
Close Punctuation 375
 
2.8%
Dash Punctuation 48
 
0.4%
Uppercase Letter 41
 
0.3%
Lowercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 507
 
6.5%
산 503
 
6.5%
부 469
 
6.0%
광 416
 
5.4%
시 401
 
5.2%
로 386
 
5.0%
구 386
 
5.0%
역 384
 
4.9%
대 277
 
3.6%
호 219
 
2.8%
Other values (289) 3822
49.2%
Uppercase Letter
ValueCountFrequency (%)
B 8
19.5%
A 6
14.6%
C 5
12.2%
E 5
12.2%
T 5
12.2%
P 3
 
7.3%
S 2
 
4.9%
K 2
 
4.9%
N 2
 
4.9%
I 1
 
2.4%
Other values (2) 2
 
4.9%
Decimal Number
ValueCountFrequency (%)
1 438
20.9%
0 298
14.3%
2 258
12.3%
3 222
10.6%
4 182
8.7%
6 159
 
7.6%
5 155
 
7.4%
7 138
 
6.6%
9 133
 
6.4%
8 108
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
b 1
25.0%
n 1
25.0%
Space Separator
ValueCountFrequency (%)
2170
100.0%
Other Punctuation
ValueCountFrequency (%)
, 431
100.0%
Open Punctuation
ValueCountFrequency (%)
( 375
100.0%
Close Punctuation
ValueCountFrequency (%)
) 375
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7770
58.4%
Common 5491
41.3%
Latin 45
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 507
 
6.5%
산 503
 
6.5%
부 469
 
6.0%
광 416
 
5.4%
시 401
 
5.2%
로 386
 
5.0%
구 386
 
5.0%
역 384
 
4.9%
대 277
 
3.6%
호 219
 
2.8%
Other values (289) 3822
49.2%
Common
ValueCountFrequency (%)
2170
39.5%
1 438
 
8.0%
, 431
 
7.8%
( 375
 
6.8%
) 375
 
6.8%
0 298
 
5.4%
2 258
 
4.7%
3 222
 
4.0%
4 182
 
3.3%
6 159
 
2.9%
Other values (6) 583
 
10.6%
Latin
ValueCountFrequency (%)
B 8
17.8%
A 6
13.3%
C 5
11.1%
E 5
11.1%
T 5
11.1%
P 3
 
6.7%
S 2
 
4.4%
K 2
 
4.4%
e 2
 
4.4%
N 2
 
4.4%
Other values (5) 5
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7770
58.4%
ASCII 5536
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2170
39.2%
1 438
 
7.9%
, 431
 
7.8%
( 375
 
6.8%
) 375
 
6.8%
0 298
 
5.4%
2 258
 
4.7%
3 222
 
4.0%
4 182
 
3.3%
6 159
 
2.9%
Other values (21) 628
 
11.3%
Hangul
ValueCountFrequency (%)
동 507
 
6.5%
산 503
 
6.5%
부 469
 
6.0%
광 416
 
5.4%
시 401
 
5.2%
로 386
 
5.0%
구 386
 
5.0%
역 384
 
4.9%
대 277
 
3.6%
호 219
 
2.8%
Other values (289) 3822
49.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct183
Distinct (%)57.7%
Missing70
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean65690.17
Minimum46010
Maximum616845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T12:49:59.684769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46010
5-th percentile46227
Q147512
median48059
Q348316
95-th percentile49343
Maximum616845
Range570835
Interquartile range (IQR)804

Descriptive statistics

Standard deviation98873.248
Coefficient of variation (CV)1.5051452
Kurtosis27.178174
Mean65690.17
Median Absolute Deviation (MAD)434
Skewness5.3855081
Sum20823784
Variance9.7759191 × 109
MonotonicityNot monotonic
2024-04-17T12:49:59.788001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 44
 
11.4%
48058 33
 
8.5%
48060 8
 
2.1%
48547 6
 
1.6%
48222 4
 
1.0%
47011 4
 
1.0%
47209 4
 
1.0%
47583 3
 
0.8%
48093 3
 
0.8%
46918 3
 
0.8%
Other values (173) 205
53.0%
(Missing) 70
 
18.1%
ValueCountFrequency (%)
46010 1
0.3%
46019 2
0.5%
46021 2
0.5%
46023 2
0.5%
46059 1
0.3%
46072 1
0.3%
46075 1
0.3%
46080 1
0.3%
46201 1
0.3%
46206 1
0.3%
ValueCountFrequency (%)
616845 1
0.3%
616830 1
0.3%
614860 1
0.3%
614843 1
0.3%
612725 1
0.3%
612020 1
0.3%
611840 1
0.3%
608818 1
0.3%
608806 1
0.3%
608743 1
0.3%

사업장명
Text

Distinct383
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-04-17T12:49:59.971113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length8.0413437
Min length2

Characters and Unicode

Total characters3112
Distinct characters387
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

Unique379 ?
Unique (%)97.9%

Sample

1st row새미프로덕션
2nd row제이에이치미디어
3rd row초록우주선
4th row(주)엠엘미디어
5th row(주)피케이티
ValueCountFrequency (%)
주식회사 45
 
8.9%
주 8
 
1.6%
커뮤니케이션 4
 
0.8%
media 4
 
0.8%
미디어 3
 
0.6%
프로덕션 3
 
0.6%
필름 2
 
0.4%
부산지사 2
 
0.4%
메디온 2
 
0.4%
디 2
 
0.4%
Other values (419) 429
85.1%
2024-04-17T12:50:00.268148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 190
 
6.1%
( 160
 
5.1%
) 160
 
5.1%
117
 
3.8%
이 104
 
3.3%
디 94
 
3.0%
스 89
 
2.9%
사 61
 
2.0%
어 54
 
1.7%
미 51
 
1.6%
Other values (377) 2032
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2352
75.6%
Open Punctuation 160
 
5.1%
Close Punctuation 160
 
5.1%
Uppercase Letter 159
 
5.1%
Lowercase Letter 133
 
4.3%
Space Separator 117
 
3.8%
Other Punctuation 8
 
0.3%
Decimal Number 8
 
0.3%
Dash Punctuation 7
 
0.2%
Other Symbol 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 190
 
8.1%
이 104
 
4.4%
디 94
 
4.0%
스 89
 
3.8%
사 61
 
2.6%
어 54
 
2.3%
미 51
 
2.2%
회 50
 
2.1%
식 49
 
2.1%
션 46
 
2.0%
Other values (318) 1564
66.5%
Lowercase Letter
ValueCountFrequency (%)
e 16
12.0%
n 15
11.3%
o 13
 
9.8%
i 11
 
8.3%
a 11
 
8.3%
t 9
 
6.8%
r 7
 
5.3%
s 6
 
4.5%
u 6
 
4.5%
d 5
 
3.8%
Other values (13) 34
25.6%
Uppercase Letter
ValueCountFrequency (%)
O 16
 
10.1%
A 13
 
8.2%
M 13
 
8.2%
I 11
 
6.9%
J 11
 
6.9%
D 10
 
6.3%
S 10
 
6.3%
E 9
 
5.7%
C 8
 
5.0%
R 8
 
5.0%
Other values (13) 50
31.4%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
1 3
37.5%
4 1
 
12.5%
9 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
& 2
 
25.0%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 160
100.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2358
75.8%
Common 462
 
14.8%
Latin 292
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 190
 
8.1%
이 104
 
4.4%
디 94
 
4.0%
스 89
 
3.8%
사 61
 
2.6%
어 54
 
2.3%
미 51
 
2.2%
회 50
 
2.1%
식 49
 
2.1%
션 46
 
2.0%
Other values (319) 1570
66.6%
Latin
ValueCountFrequency (%)
e 16
 
5.5%
O 16
 
5.5%
n 15
 
5.1%
A 13
 
4.5%
M 13
 
4.5%
o 13
 
4.5%
I 11
 
3.8%
i 11
 
3.8%
a 11
 
3.8%
J 11
 
3.8%
Other values (36) 162
55.5%
Common
ValueCountFrequency (%)
( 160
34.6%
) 160
34.6%
117
25.3%
- 7
 
1.5%
. 6
 
1.3%
2 3
 
0.6%
1 3
 
0.6%
& 2
 
0.4%
< 1
 
0.2%
4 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2352
75.6%
ASCII 754
 
24.2%
None 6
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 190
 
8.1%
이 104
 
4.4%
디 94
 
4.0%
스 89
 
3.8%
사 61
 
2.6%
어 54
 
2.3%
미 51
 
2.2%
회 50
 
2.1%
식 49
 
2.1%
션 46
 
2.0%
Other values (318) 1564
66.5%
ASCII
ValueCountFrequency (%)
( 160
21.2%
) 160
21.2%
117
15.5%
e 16
 
2.1%
O 16
 
2.1%
n 15
 
2.0%
A 13
 
1.7%
M 13
 
1.7%
o 13
 
1.7%
I 11
 
1.5%
Other values (48) 220
29.2%
None
ValueCountFrequency (%)
㈜ 6
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct387
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0160806 × 1013
Minimum2.0091113 × 1013
Maximum2.0201229 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T12:50:00.396154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0091113 × 1013
5-th percentile2.0091119 × 1013
Q12.0131221 × 1013
median2.0170614 × 1013
Q32.0190865 × 1013
95-th percentile2.0200983 × 1013
Maximum2.0201229 × 1013
Range1.10116 × 1011
Interquartile range (IQR)5.9643991 × 1010

Descriptive statistics

Standard deviation3.6715892 × 1010
Coefficient of variation (CV)0.001821152
Kurtosis-0.90113965
Mean2.0160806 × 1013
Median Absolute Deviation (MAD)2.9697022 × 1010
Skewness-0.64494019
Sum7.8022321 × 1015
Variance1.3480567 × 1021
MonotonicityNot monotonic
2024-04-17T12:50:00.507852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100202090726 1
 
0.3%
20131230153225 1
 
0.3%
20190402171217 1
 
0.3%
20190611132018 1
 
0.3%
20190304105422 1
 
0.3%
20170221181208 1
 
0.3%
20131121090504 1
 
0.3%
20160202172802 1
 
0.3%
20131219101300 1
 
0.3%
20111213132604 1
 
0.3%
Other values (377) 377
97.4%
ValueCountFrequency (%)
20091113134726 1
0.3%
20091113142545 1
0.3%
20091113143243 1
0.3%
20091113160002 1
0.3%
20091113160616 1
0.3%
20091113161648 1
0.3%
20091113162717 1
0.3%
20091113162935 1
0.3%
20091113163858 1
0.3%
20091113165245 1
0.3%
ValueCountFrequency (%)
20201229130708 1
0.3%
20201222160622 1
0.3%
20201221094212 1
0.3%
20201218093739 1
0.3%
20201218093656 1
0.3%
20201216133741 1
0.3%
20201215151628 1
0.3%
20201207130210 1
0.3%
20201201105146 1
0.3%
20201127101411 1
0.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
I
330 
U
57 

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 330
85.3%
U 57
 
14.7%

Length

2024-04-17T12:50:00.613005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:50:00.702963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 330
85.3%
u 57
 
14.7%

데이터갱신일자
Date

Distinct138
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2018-08-31 23:59:59
Maximum2020-12-31 00:23:05
2024-04-17T12:50:00.794967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T12:50:00.899939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct283
Distinct (%)74.1%
Missing5
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean390078.37
Minimum371436.66
Maximum401955.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T12:50:01.018813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum371436.66
5-th percentile380701.57
Q1387526.08
median390581.48
Q3393605.93
95-th percentile396706.98
Maximum401955.6
Range30518.937
Interquartile range (IQR)6079.8512

Descriptive statistics

Standard deviation4735.4117
Coefficient of variation (CV)0.012139642
Kurtosis0.78315005
Mean390078.37
Median Absolute Deviation (MAD)3024.455
Skewness-0.61196549
Sum1.4900994 × 108
Variance22424124
MonotonicityNot monotonic
2024-04-17T12:50:01.133893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393573.517296519 12
 
3.1%
394038.562998688 11
 
2.8%
393674.032955782 8
 
2.1%
393527.757337839 8
 
2.1%
393605.930358633 7
 
1.8%
393503.395720953 5
 
1.3%
390581.475369707 5
 
1.3%
393963.840834294 5
 
1.3%
393790.344709358 4
 
1.0%
393553.326853219 3
 
0.8%
Other values (273) 314
81.1%
(Missing) 5
 
1.3%
ValueCountFrequency (%)
371436.66179464 1
0.3%
371867.502458034 1
0.3%
378338.393294752 1
0.3%
378509.419845814 1
0.3%
378825.874128872 1
0.3%
379036.726115948 1
0.3%
379180.841823154 1
0.3%
379278.438594921 1
0.3%
379287.397315288 1
0.3%
379626.0276343 1
0.3%
ValueCountFrequency (%)
401955.599106516 1
0.3%
401727.024238188 1
0.3%
401539.592821636 1
0.3%
401071.52105582 1
0.3%
399621.427009571 1
0.3%
399100.445446232 1
0.3%
399044.865298391 1
0.3%
399016.647007495 1
0.3%
398571.069434432 1
0.3%
398517.165834892 1
0.3%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct283
Distinct (%)74.1%
Missing5
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean187406.12
Minimum174683.07
Maximum205783.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T12:50:01.239176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174683.07
5-th percentile180001.27
Q1184357.46
median187931.76
Q3188610.16
95-th percentile197190.14
Maximum205783.3
Range31100.231
Interquartile range (IQR)4252.6998

Descriptive statistics

Standard deviation4945.7065
Coefficient of variation (CV)0.026390315
Kurtosis2.1517816
Mean187406.12
Median Absolute Deviation (MAD)2321.1427
Skewness0.8938607
Sum71589137
Variance24460013
MonotonicityNot monotonic
2024-04-17T12:50:01.358533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188018.687138009 12
 
3.1%
188042.384551855 11
 
2.8%
187973.297243244 8
 
2.1%
188440.756376893 8
 
2.1%
188324.973749177 7
 
1.8%
188279.474831569 5
 
1.3%
181723.441355382 5
 
1.3%
188061.35516256 5
 
1.3%
188235.889521484 4
 
1.0%
188402.465080284 3
 
0.8%
Other values (273) 314
81.1%
(Missing) 5
 
1.3%
ValueCountFrequency (%)
174683.069423816 1
0.3%
176878.908698951 1
0.3%
176954.562659915 1
0.3%
177885.551502853 1
0.3%
178402.652356076 1
0.3%
178476.553591488 1
0.3%
178508.293113873 2
0.5%
178796.08382171 1
0.3%
179408.725624905 1
0.3%
179499.862558123 1
0.3%
ValueCountFrequency (%)
205783.300431754 1
0.3%
205323.471777248 1
0.3%
205152.05176001 1
0.3%
204605.613363097 1
0.3%
204566.648874729 1
0.3%
204553.925900752 1
0.3%
204497.870904435 1
0.3%
201940.124037617 1
0.3%
199822.498546904 1
0.3%
199722.629799 1
0.3%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
비디오물제작업
387 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 387
100.0%

Length

2024-04-17T12:50:01.455081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:50:01.532052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 387
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

총층수
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)22.4%
Missing320
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean6.5671642
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T12:50:01.601743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3
Q14
median5
Q37.5
95-th percentile15
Maximum28
Range27
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation5.0609134
Coefficient of variation (CV)0.77063909
Kurtosis4.6676306
Mean6.5671642
Median Absolute Deviation (MAD)2
Skewness1.9734731
Sum440
Variance25.612845
MonotonicityNot monotonic
2024-04-17T12:50:01.686768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
5 15
 
3.9%
4 11
 
2.8%
3 9
 
2.3%
7 5
 
1.3%
1 4
 
1.0%
15 4
 
1.0%
9 3
 
0.8%
6 3
 
0.8%
2 3
 
0.8%
11 2
 
0.5%
Other values (5) 8
 
2.1%
(Missing) 320
82.7%
ValueCountFrequency (%)
1 4
 
1.0%
2 3
 
0.8%
3 9
2.3%
4 11
2.8%
5 15
3.9%
6 3
 
0.8%
7 5
 
1.3%
8 2
 
0.5%
9 3
 
0.8%
11 2
 
0.5%
ValueCountFrequency (%)
28 1
 
0.3%
20 2
 
0.5%
15 4
1.0%
13 2
 
0.5%
12 1
 
0.3%
11 2
 
0.5%
9 3
0.8%
8 2
 
0.5%
7 5
1.3%
6 3
0.8%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
359 
기타
 
16
주택가주변
 
7
아파트지역
 
2
학교정화(상대)
 
2

Length

Max length8
Median length4
Mean length3.9715762
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 359
92.8%
기타 16
 
4.1%
주택가주변 7
 
1.8%
아파트지역 2
 
0.5%
학교정화(상대) 2
 
0.5%
학교정화(절대) 1
 
0.3%

Length

2024-04-17T12:50:01.781729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:50:01.872404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 359
92.8%
기타 16
 
4.1%
주택가주변 7
 
1.8%
아파트지역 2
 
0.5%
학교정화(상대 2
 
0.5%
학교정화(절대 1
 
0.3%

제작취급품목내용
Text

Distinct227
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-04-17T12:50:02.047244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length27
Mean length9.7416021
Min length2

Characters and Unicode

Total characters3770
Distinct characters194
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)53.5%

Sample

1st row비디오물
2nd row비디오파일, DVD
3rd row방송프로그램,기업 및 관공서 홍보영상
4th row비디오물
5th row비디오물
ValueCountFrequency (%)
비디오물 105
 
13.5%
홍보영상 53
 
6.8%
제작 43
 
5.5%
등 42
 
5.4%
및 41
 
5.3%
영상물 28
 
3.6%
비디오 25
 
3.2%
비디오물제작 21
 
2.7%
광고 19
 
2.4%
영상 18
 
2.3%
Other values (228) 383
49.2%
2024-04-17T12:50:02.347823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
390
 
10.3%
영 294
 
7.8%
상 266
 
7.1%
물 240
 
6.4%
, 201
 
5.3%
디 195
 
5.2%
비 190
 
5.0%
오 188
 
5.0%
제 146
 
3.9%
작 144
 
3.8%
Other values (184) 1516
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2979
79.0%
Space Separator 390
 
10.3%
Other Punctuation 212
 
5.6%
Uppercase Letter 120
 
3.2%
Lowercase Letter 24
 
0.6%
Decimal Number 19
 
0.5%
Close Punctuation 11
 
0.3%
Open Punctuation 11
 
0.3%
Dash Punctuation 3
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 294
 
9.9%
상 266
 
8.9%
물 240
 
8.1%
디 195
 
6.5%
비 190
 
6.4%
오 188
 
6.3%
제 146
 
4.9%
작 144
 
4.8%
보 129
 
4.3%
홍 128
 
4.3%
Other values (137) 1059
35.5%
Uppercase Letter
ValueCountFrequency (%)
D 32
26.7%
V 23
19.2%
C 17
14.2%
T 11
 
9.2%
R 9
 
7.5%
F 8
 
6.7%
H 3
 
2.5%
U 3
 
2.5%
G 3
 
2.5%
I 3
 
2.5%
Other values (7) 8
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
v 3
12.5%
d 3
12.5%
o 3
12.5%
a 2
8.3%
t 2
8.3%
c 2
8.3%
n 2
8.3%
f 1
 
4.2%
k 1
 
4.2%
b 1
 
4.2%
Other values (4) 4
16.7%
Decimal Number
ValueCountFrequency (%)
3 13
68.4%
2 1
 
5.3%
5 1
 
5.3%
7 1
 
5.3%
8 1
 
5.3%
1 1
 
5.3%
4 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 201
94.8%
/ 9
 
4.2%
. 1
 
0.5%
？ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
390
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2979
79.0%
Common 647
 
17.2%
Latin 144
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 294
 
9.9%
상 266
 
8.9%
물 240
 
8.1%
디 195
 
6.5%
비 190
 
6.4%
오 188
 
6.3%
제 146
 
4.9%
작 144
 
4.8%
보 129
 
4.3%
홍 128
 
4.3%
Other values (137) 1059
35.5%
Latin
ValueCountFrequency (%)
D 32
22.2%
V 23
16.0%
C 17
11.8%
T 11
 
7.6%
R 9
 
6.2%
F 8
 
5.6%
v 3
 
2.1%
d 3
 
2.1%
H 3
 
2.1%
U 3
 
2.1%
Other values (21) 32
22.2%
Common
ValueCountFrequency (%)
390
60.3%
, 201
31.1%
3 13
 
2.0%
) 11
 
1.7%
( 11
 
1.7%
/ 9
 
1.4%
- 3
 
0.5%
. 1
 
0.2%
2 1
 
0.2%
？ 1
 
0.2%
Other values (6) 6
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2979
79.0%
ASCII 790
 
21.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
390
49.4%
, 201
25.4%
D 32
 
4.1%
V 23
 
2.9%
C 17
 
2.2%
3 13
 
1.6%
T 11
 
1.4%
) 11
 
1.4%
( 11
 
1.4%
R 9
 
1.1%
Other values (36) 72
 
9.1%
Hangul
ValueCountFrequency (%)
영 294
 
9.9%
상 266
 
8.9%
물 240
 
8.1%
디 195
 
6.5%
비 190
 
6.4%
오 188
 
6.3%
제 146
 
4.9%
작 144
 
4.8%
보 129
 
4.3%
홍 128
 
4.3%
Other values (137) 1059
35.5%
None
ValueCountFrequency (%)
？ 1
100.0%

시설면적
Real number (ℝ)

MISSING 

Distinct266
Distinct (%)84.7%
Missing73
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean132.30551
Minimum0
Maximum1980
Zeros2
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T12:50:02.458838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.5195
Q146.2
median83.92
Q3149.35
95-th percentile399.777
Maximum1980
Range1980
Interquartile range (IQR)103.15

Descriptive statistics

Standard deviation184.32751
Coefficient of variation (CV)1.393196
Kurtosis38.396493
Mean132.30551
Median Absolute Deviation (MAD)44.82
Skewness5.1679011
Sum41543.93
Variance33976.631
MonotonicityNot monotonic
2024-04-17T12:50:02.573245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 9
 
2.3%
20.0 3
 
0.8%
53.91 3
 
0.8%
90.0 3
 
0.8%
30.0 3
 
0.8%
49.0 3
 
0.8%
81.0 3
 
0.8%
52.89 3
 
0.8%
99.0 2
 
0.5%
84.05 2
 
0.5%
Other values (256) 280
72.4%
(Missing) 73
 
18.9%
ValueCountFrequency (%)
0.0 2
0.5%
1.8 1
0.3%
3.3 2
0.5%
3.5 1
0.3%
4.76 1
0.3%
6.55 1
0.3%
6.6 1
0.3%
8.0 1
0.3%
10.0 2
0.5%
10.34 1
0.3%
ValueCountFrequency (%)
1980.0 1
0.3%
1064.28 2
0.5%
1027.24 1
0.3%
852.13 1
0.3%
806.7 1
0.3%
741.88 1
0.3%
732.0 1
0.3%
521.85 1
0.3%
477.59 1
0.3%
470.0 1
0.3%

지상층수
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)17.2%
Missing288
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean5.9292929
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-04-17T12:50:02.671926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q13
median4
Q37.5
95-th percentile16
Maximum24
Range23
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation4.5986966
Coefficient of variation (CV)0.77558938
Kurtosis2.9744043
Mean5.9292929
Median Absolute Deviation (MAD)2
Skewness1.7027394
Sum587
Variance21.148011
MonotonicityNot monotonic
2024-04-17T12:50:02.758487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3 18
 
4.7%
4 16
 
4.1%
2 13
 
3.4%
5 12
 
3.1%
7 6
 
1.6%
8 5
 
1.3%
1 5
 
1.3%
6 4
 
1.0%
12 4
 
1.0%
13 3
 
0.8%
Other values (7) 13
 
3.4%
(Missing) 288
74.4%
ValueCountFrequency (%)
1 5
 
1.3%
2 13
3.4%
3 18
4.7%
4 16
4.1%
5 12
3.1%
6 4
 
1.0%
7 6
 
1.6%
8 5
 
1.3%
9 2
 
0.5%
10 2
 
0.5%
ValueCountFrequency (%)
24 1
 
0.3%
20 2
 
0.5%
18 1
 
0.3%
16 2
 
0.5%
13 3
0.8%
12 4
1.0%
11 3
0.8%
10 2
 
0.5%
9 2
 
0.5%
8 5
1.3%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
341 
1
 
28
0
 
7
2
 
6
3
 
3

Length

Max length4
Median length4
Mean length3.6434109
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 341
88.1%
1 28
 
7.2%
0 7
 
1.8%
2 6
 
1.6%
3 3
 
0.8%
5 2
 
0.5%

Length

2024-04-17T12:50:02.860036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:50:02.946825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 341
88.1%
1 28
 
7.2%
0 7
 
1.8%
2 6
 
1.6%
3 3
 
0.8%
5 2
 
0.5%

건물용도명
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
342 
근린생활시설
 
22
사무실
 
10
교육연구시설
 
7
기타
 
2
Other values (4)
 
4

Length

Max length15
Median length4
Mean length4.1395349
Min length2

Unique

Unique4 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 342
88.4%
근린생활시설 22
 
5.7%
사무실 10
 
2.6%
교육연구시설 7
 
1.8%
기타 2
 
0.5%
아파트 1
 
0.3%
단독주택 1
 
0.3%
다가구용 주택(공동주택적용) 1
 
0.3%
생산시설 1
 
0.3%

Length

2024-04-17T12:50:03.049005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T12:50:03.149220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 342
88.1%
근린생활시설 22
 
5.7%
사무실 10
 
2.6%
교육연구시설 7
 
1.8%
기타 2
 
0.5%
아파트 1
 
0.3%
단독주택 1
 
0.3%
다가구용 1
 
0.3%
주택(공동주택적용 1
 
0.3%
생산시설 1
 
0.3%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

지역구분명
Categorical

IMBALANCE 

Distinct11
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
<NA>
349 
일반상업지역
 
12
일반주거지역
 
7
자연녹지지역
 
5
준주거지역
 
4
Other values (6)
 
10

Length

Max length6
Median length4
Mean length4.1550388
Min length4

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 349
90.2%
일반상업지역 12
 
3.1%
일반주거지역 7
 
1.8%
자연녹지지역 5
 
1.3%
준주거지역 4
 
1.0%
상업지역 3
 
0.8%
근린상업지역 2
 
0.5%
준공업지역 2
 
0.5%
주거지역 1
 
0.3%
녹지지역 1
 
0.3%

Length

2024-04-17T12:50:03.262365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 349
90.2%
일반상업지역 12
 
3.1%
일반주거지역 7
 
1.8%
자연녹지지역 5
 
1.3%
준주거지역 4
 
1.0%
상업지역 3
 
0.8%
근린상업지역 2
 
0.5%
준공업지역 2
 
0.5%
주거지역 1
 
0.3%
녹지지역 1
 
0.3%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing387
Missing (%)100.0%
Memory size3.5 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01비디오물제작업03_10_05_P3250000CDFF124107200000000120000619<NA>3폐업3폐업20100201<NA><NA><NA>245-5253<NA><NA>부산광역시 중구 동광동2가 12-6번지 세동빌딩2층부산광역시 중구 광복로97번길 19 (동광동2가,세동빌딩2층)<NA>새미프로덕션20100202090726I2018-08-31 23:59:59.0<NA>385467.464003179815.581557비디오물제작업<NA><NA><NA>비디오물<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>
12비디오물제작업03_10_05_P3250000CDFF124107201500000220150617<NA>3폐업3폐업20180725<NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동1가 37-1번지부산광역시 중구 대청로 121-1, 101동 1208호 (대청동1가)48932제이에이치미디어20180725160214I2018-08-31 23:59:59.0<NA>385306.698877180120.939471비디오물제작업<NA><NA><NA>비디오파일, DVD25.3612<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>
23비디오물제작업03_10_05_P3250000CDFF124107201700000120170116<NA>3폐업3폐업20180720<NA><NA><NA><NA><NA><NA>부산광역시 중구 영주동 23-3번지부산광역시 중구 대영로 235, 8층 803호 (영주동)48911초록우주선20180720161801I2018-08-31 23:59:59.0<NA>385585.321891181149.765236비디오물제작업<NA><NA><NA>방송프로그램,기업 및 관공서 홍보영상0.0<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><NA>
34비디오물제작업03_10_05_P3250000CDFF124107200000000220001106<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동2가 24번지 선박빌딩4층<NA><NA>(주)엠엘미디어20091119163004I2018-08-31 23:59:59.0<NA><NA><NA>비디오물제작업<NA><NA><NA>비디오물<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>
45비디오물제작업03_10_05_P3250000CDFF124107200400000120040422<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동3가 부산우체국 12층부산광역시 중구 중앙대로 63 (중앙동3가)48931(주)피케이티20120622102225I2018-08-31 23:59:59.0<NA>385561.650139180152.738082비디오물제작업<NA><NA><NA>비디오물<NA>12<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>
56비디오물제작업03_10_05_P3250000CDFF124107200600000120061211<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동3가 2번지 매일빌딩3층부산광역시 중구 대청로 91-7 (대청동3가,매일빌딩3층)<NA>데자뷰영상20091119163631I2018-08-31 23:59:59.0<NA>384996.1257180120.721061비디오물제작업<NA><NA><NA>비디오물<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>
67비디오물제작업03_10_05_P3250000CDFF124107200800000120081002<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대창동2가 31-2번지 3층부산광역시 중구 중앙대로 143 (대창동2가,3층)<NA>(주)월드시티 네트워크20091119174327I2018-08-31 23:59:59.0<NA>385671.145033180930.113505비디오물제작업<NA><NA><NA>비디오물<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>
78비디오물제작업03_10_05_P3250000CDFF124107201100000120110725<NA>1영업/정상13영업중<NA><NA><NA><NA>243-8633<NA><NA>부산광역시 중구 부평동1가 14-2번지부산광역시 중구 중구로 47 (부평동1가)<NA>문화영상기획20110725115233I2018-08-31 23:59:59.0<NA>384815.7236179991.718387비디오물제작업<NA><NA><NA>e-book,CD,DVD제작,영상편집,복사,촬영,변환171.57<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>
89비디오물제작업03_10_05_P3250000CDFF124107201300000120130326<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 신창동3가 37-1번지 3층부산광역시 중구 중구로48번길 8-1 (신창동3가)48946뉴끄레망20130326153151I2018-08-31 23:59:59.0<NA>384902.910579179998.834784비디오물제작업<NA>5기타비디오물 제작89.2641근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역<NA>
910비디오물제작업03_10_05_P3250000CDFF124107201700000220170519<NA>1영업/정상13영업중<NA><NA><NA><NA>0513613373<NA><NA>부산광역시 중구 대청동1가 36-3번지부산광역시 중구 대청로 117, 401호 (대청동1가)48932(주)이담20170519142529I2018-08-31 23:59:59.0<NA>385274.885903180100.806642비디오물제작업<NA><NA><NA>홍보영상,디지털콘텐츠53.3941<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
377378비디오물제작업03_10_05_P3330000CDFF124107202000001520200710<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 760-3 오션타워 1530호부산광역시 해운대구 해운대해변로 203, 오션타워 1530호 (우동)48093주식회사 엠피알20200710133508I2020-07-12 00:23:16.0<NA>396180.621245186522.350475비디오물제작업<NA><NA><NA>홍보영상 등 비디오물 일체145.12<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>
378379비디오물제작업03_10_05_P3330000CDFF124107201800001120180927<NA>1영업/정상13영업중<NA><NA><NA><NA>051-317-1113<NA><NA>부산광역시 해운대구 재송동 1208-2번지 센텀스카이비즈 1605호부산광역시 해운대구 센텀중앙로 97, 센텀스카이비즈 에이동 16층 1605호 (재송동)48058에스아이에이 주식회사20180927113503U2018-09-27 23:59:59.0<NA>393503.395721188279.474832비디오물제작업<NA><NA><NA>광고,홍보영상,방송93.24<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>
379380비디오물제작업03_10_05_P3330000CDFF124107202000001820200923<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1483-4 대승코아 303호부산광역시 해운대구 세실로27번길 11, 대승코아 3층 303호 (좌동)48111오스타미디어20200923165836I2020-09-25 00:23:12.0<NA>398399.945314187591.060884비디오물제작업<NA><NA><NA>홍보영상 등 비디오물 일체65.02<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>
380381비디오물제작업03_10_05_P3330000CDFF124107202000001920201113<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1460 센텀 T 타워 1203호부산광역시 해운대구 센텀중앙로 66, 센텀 T 타워 1203호 (우동)48059(주)시네포엠20201113162856I2020-11-15 00:23:30.0<NA>393828.352613188165.148419비디오물제작업<NA><NA><NA>홍보영상 등 비디오물 일체21.0<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><NA>
381382비디오물제작업03_10_05_P3330000CDFF124107201800001420181025<NA>1영업/정상13영업중<NA><NA><NA><NA>051-851-3274<NA><NA>부산광역시 해운대구 우동 1500번지 벡스코부산광역시 해운대구 APEC로 55, 벡스코 3층 351호 (우동)48060주식회사 콜링씨앤디20181025132331I2018-10-27 02:36:13.0<NA>394482.139208187606.035424비디오물제작업<NA><NA><NA>홍보영상물 제작73.83<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>
382383비디오물제작업03_10_05_P3330000CDFF124107201800001220181024<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1208-2번지 센텀스카이비즈 A동 3811호부산광역시 해운대구 센텀중앙로 97, 센텀스카이비즈 A동 3811호 (재송동)48058온플러스20181024094714I2018-10-26 02:35:59.0<NA>393503.395721188279.474832비디오물제작업<NA><NA><NA>기업홍보 및 제품홍보용 영상물158.01<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>
383384비디오물제작업03_10_05_P3330000CDFF124107201800001520181121<NA>1영업/정상13영업중<NA><NA><NA><NA>051-744-3619<NA><NA>부산광역시 해운대구 재송동 447-1 도시다온 지하1층부산광역시 해운대구 재반로11번길 56, 도시다온 지하1층 (재송동)48056주식회사 에스아이디연구소20200929144519U2020-10-01 02:40:00.0<NA>393503.395721188279.474832비디오물제작업<NA><NA><NA>2D,3D동영상제작편집.영상제작90.0<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><NA>
384385비디오물제작업03_10_05_P3330000CDFF124107202000002020201215<NA>1영업/정상13영업중<NA><NA><NA><NA>051-1688-5187<NA><NA>부산광역시 해운대구 우동 1523 더블유비씨더팔레스오피스텔 102동 2701호부산광역시 해운대구 센텀1로 28, 더블유비씨더팔레스오피스텔 102동 2701호 (우동)48060(주) 브라보소프트20201215151628I2020-12-17 00:23:06.0<NA>394115.595091187246.521205비디오물제작업<NA><NA><NA>제품 동영상 등 비디오물 일체223.53<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>
385386비디오물제작업03_10_05_P3330000CDFF124107202000002120201221<NA>1영업/정상13영업중<NA><NA><NA><NA>051-204-7879<NA><NA>부산광역시 해운대구 재송동 1212 큐비이센텀 206호부산광역시 해운대구 센텀중앙로 90, 큐비이센텀 206호 (재송동)48059코리아기획20201221094212I2020-12-23 00:23:05.0<NA>393605.930359188324.973749비디오물제작업<NA><NA><NA>비디오물 일체88.56<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>
386387비디오물제작업03_10_05_P3330000CDFF124107200300000120031126<NA>1영업/정상13영업중<NA><NA><NA><NA>051-757-7890<NA><NA>부산광역시 해운대구 우동 1475 센텀벤처타운 505호부산광역시 해운대구 센텀동로 41, 505호 (우동, 센텀벤처타운)48059(주)미디어유성20201229130708I2020-12-31 00:23:05.0<NA>394038.562999188042.384552비디오물제작업<NA><NA><NA>영상, 비디오물<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>