Overview

Dataset statistics

Number of variables41
Number of observations342
Missing cells6150
Missing cells (%)43.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory117.4 KiB
Average record size in memory351.4 B

Variable types

Categorical9
Numeric10
DateTime6
Unsupported11
Text5

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),업종구분명,관리업구분명,자본금,자산,보수범위,유지관리책임인력수,실무기술인력수,설계책임기술인력수,제조책임기술인력수,임원수,총직원수,기술직직원수,기능직직원수,사무직직원수,기타인원수,회사구분명
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16151/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
재개업일자 has constant value ""Constant
관리업구분명 is highly imbalanced (59.6%)Imbalance
회사구분명 is highly imbalanced (61.6%)Imbalance
인허가취소일자 has 342 (100.0%) missing valuesMissing
폐업일자 has 269 (78.7%) missing valuesMissing
휴업시작일자 has 331 (96.8%) missing valuesMissing
휴업종료일자 has 331 (96.8%) missing valuesMissing
재개업일자 has 341 (99.7%) missing valuesMissing
전화번호 has 4 (1.2%) missing valuesMissing
소재지면적 has 342 (100.0%) missing valuesMissing
소재지우편번호 has 91 (26.6%) missing valuesMissing
도로명주소 has 7 (2.0%) missing valuesMissing
도로명우편번호 has 127 (37.1%) missing valuesMissing
업태구분명 has 342 (100.0%) missing valuesMissing
좌표정보(X) has 13 (3.8%) missing valuesMissing
좌표정보(Y) has 13 (3.8%) missing valuesMissing
자본금 has 186 (54.4%) missing valuesMissing
자산 has 342 (100.0%) missing valuesMissing
유지관리책임인력수 has 186 (54.4%) missing valuesMissing
실무기술인력수 has 187 (54.7%) missing valuesMissing
설계책임기술인력수 has 342 (100.0%) missing valuesMissing
제조책임기술인력수 has 342 (100.0%) missing valuesMissing
임원수 has 342 (100.0%) missing valuesMissing
총직원수 has 302 (88.3%) missing valuesMissing
기술직직원수 has 342 (100.0%) missing valuesMissing
기능직직원수 has 342 (100.0%) missing valuesMissing
사무직직원수 has 342 (100.0%) missing valuesMissing
기타인원수 has 342 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
자산 is an unsupported type, check if it needs cleaning or further analysisUnsupported
설계책임기술인력수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제조책임기술인력수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
임원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기술직직원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기능직직원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사무직직원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기타인원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실무기술인력수 has 20 (5.8%) zerosZeros
총직원수 has 18 (5.3%) zerosZeros

Reproduction

Analysis started2024-04-06 12:16:31.958769
Analysis finished2024-04-06 12:16:33.215940
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
6110000
342 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6110000
2nd row6110000
3rd row6110000
4th row6110000
5th row6110000

Common Values

ValueCountFrequency (%)
6110000 342
100.0%

Length

2024-04-06T21:16:33.333067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:33.487732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6110000 342
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct342
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.11 × 1011
Minimum6.11 × 1011
Maximum6.11 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:16:33.704436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.11 × 1011
5-th percentile6.11 × 1011
Q16.11 × 1011
median6.11 × 1011
Q36.11 × 1011
95-th percentile6.11 × 1011
Maximum6.11 × 1011
Range529
Interquartile range (IQR)195.5

Descriptive statistics

Standard deviation141.29116
Coefficient of variation (CV)2.3124575 × 10-10
Kurtosis-0.44405732
Mean6.11 × 1011
Median Absolute Deviation (MAD)96
Skewness-0.67917296
Sum2.08962 × 1014
Variance19963.191
MonotonicityNot monotonic
2024-04-06T21:16:33.993981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
611000000290 1
 
0.3%
611000000519 1
 
0.3%
611000000501 1
 
0.3%
611000000191 1
 
0.3%
611000000194 1
 
0.3%
611000000106 1
 
0.3%
611000000103 1
 
0.3%
611000000500 1
 
0.3%
611000000504 1
 
0.3%
611000000268 1
 
0.3%
Other values (332) 332
97.1%
ValueCountFrequency (%)
611000000001 1
0.3%
611000000002 1
0.3%
611000000004 1
0.3%
611000000006 1
0.3%
611000000007 1
0.3%
611000000009 1
0.3%
611000000011 1
0.3%
611000000018 1
0.3%
611000000020 1
0.3%
611000000023 1
0.3%
ValueCountFrequency (%)
611000000530 1
0.3%
611000000529 1
0.3%
611000000528 1
0.3%
611000000527 1
0.3%
611000000526 1
0.3%
611000000525 1
0.3%
611000000524 1
0.3%
611000000523 1
0.3%
611000000522 1
0.3%
611000000521 1
0.3%

인허가일자
Date

Distinct309
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1992-11-06 00:00:00
Maximum2023-06-19 00:00:00
2024-04-06T21:16:34.271596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:16:34.560247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
1
164 
3
133 
4
35 
2
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 164
48.0%
3 133
38.9%
4 35
 
10.2%
2 10
 
2.9%

Length

2024-04-06T21:16:34.828154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:35.018119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 164
48.0%
3 133
38.9%
4 35
 
10.2%
2 10
 
2.9%

영업상태명
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
영업/정상
164 
폐업
133 
취소/말소/만료/정지/중지
35 
휴업
 
10

Length

Max length14
Median length5
Mean length4.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 164
48.0%
폐업 133
38.9%
취소/말소/만료/정지/중지 35
 
10.2%
휴업 10
 
2.9%

Length

2024-04-06T21:16:35.369537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:35.638721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 164
48.0%
폐업 133
38.9%
취소/말소/만료/정지/중지 35
 
10.2%
휴업 10
 
2.9%

상세영업상태코드
Real number (ℝ)

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9298246
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:16:35.902225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile5.95
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3830942
Coefficient of variation (CV)0.71669426
Kurtosis3.6200395
Mean1.9298246
Median Absolute Deviation (MAD)1
Skewness2.0597273
Sum660
Variance1.9129495
MonotonicityNot monotonic
2024-04-06T21:16:36.184448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 163
47.7%
2 133
38.9%
5 17
 
5.0%
6 14
 
4.1%
3 10
 
2.9%
7 4
 
1.2%
4 1
 
0.3%
ValueCountFrequency (%)
1 163
47.7%
2 133
38.9%
3 10
 
2.9%
4 1
 
0.3%
5 17
 
5.0%
6 14
 
4.1%
7 4
 
1.2%
ValueCountFrequency (%)
7 4
 
1.2%
6 14
 
4.1%
5 17
 
5.0%
4 1
 
0.3%
3 10
 
2.9%
2 133
38.9%
1 163
47.7%

상세영업상태명
Categorical

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
인허가
163 
폐지
133 
등록취소
17 
법 개정에 의한 등록 말소
 
14
휴지
 
10
Other values (2)
 
5

Length

Max length16
Median length14
Mean length3.2368421
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
인허가 163
47.7%
폐지 133
38.9%
등록취소 17
 
5.0%
법 개정에 의한 등록 말소 14
 
4.1%
휴지 10
 
2.9%
타시도 소재지변경에 의한 말소 4
 
1.2%
사업재개 1
 
0.3%

Length

2024-04-06T21:16:36.516094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:36.775102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인허가 163
39.8%
폐지 133
32.4%
의한 18
 
4.4%
말소 18
 
4.4%
등록취소 17
 
4.1%
법 14
 
3.4%
개정에 14
 
3.4%
등록 14
 
3.4%
휴지 10
 
2.4%
타시도 4
 
1.0%
Other values (2) 5
 
1.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)98.6%
Missing269
Missing (%)78.7%
Infinite0
Infinite (%)0.0%
Mean20169442
Minimum20130131
Maximum20220831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:16:37.029936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130131
5-th percentile20130428
Q120140721
median20170616
Q320200302
95-th percentile20220443
Maximum20220831
Range90700
Interquartile range (IQR)59581

Descriptive statistics

Standard deviation30892.924
Coefficient of variation (CV)0.0015316697
Kurtosis-1.2868979
Mean20169442
Median Absolute Deviation (MAD)29895
Skewness0.30165475
Sum1.4723693 × 109
Variance9.5437275 × 108
MonotonicityNot monotonic
2024-04-06T21:16:37.313935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140822 2
 
0.6%
20181231 1
 
0.3%
20220307 1
 
0.3%
20130430 1
 
0.3%
20130819 1
 
0.3%
20140901 1
 
0.3%
20140520 1
 
0.3%
20180731 1
 
0.3%
20161130 1
 
0.3%
20200511 1
 
0.3%
Other values (62) 62
 
18.1%
(Missing) 269
78.7%
ValueCountFrequency (%)
20130131 1
0.3%
20130215 1
0.3%
20130424 1
0.3%
20130425 1
0.3%
20130430 1
0.3%
20130506 1
0.3%
20130703 1
0.3%
20130731 1
0.3%
20130819 1
0.3%
20130927 1
0.3%
ValueCountFrequency (%)
20220831 1
0.3%
20220711 1
0.3%
20220629 1
0.3%
20220610 1
0.3%
20220331 1
0.3%
20220307 1
0.3%
20220101 1
0.3%
20211216 1
0.3%
20211201 1
0.3%
20211001 1
0.3%

휴업시작일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing331
Missing (%)96.8%
Memory size2.8 KiB
Minimum2015-09-20 00:00:00
Maximum2023-12-01 00:00:00
2024-04-06T21:16:37.569055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:16:37.788041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업종료일자
Date

MISSING 

Distinct10
Distinct (%)90.9%
Missing331
Missing (%)96.8%
Memory size2.8 KiB
Minimum2016-09-01 00:00:00
Maximum2025-11-30 00:00:00
2024-04-06T21:16:37.963737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:16:38.177830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

재개업일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing341
Missing (%)99.7%
Memory size2.8 KiB
Minimum2013-12-17 00:00:00
Maximum2013-12-17 00:00:00
2024-04-06T21:16:38.364417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:16:38.543308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

전화번호
Real number (ℝ)

MISSING 

Distinct325
Distinct (%)96.2%
Missing4
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean1.7982992 × 108
Minimum23033345
Maximum7.0762201 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:16:38.830302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23033345
5-th percentile23742466
Q125624752
median29343868
Q32.2637301 × 108
95-th percentile2.6018248 × 108
Maximum7.0762201 × 109
Range7.0531868 × 109
Interquartile range (IQR)2.0074826 × 108

Descriptive statistics

Standard deviation6.617465 × 108
Coefficient of variation (CV)3.6798465
Kurtosis103.12417
Mean1.7982992 × 108
Median Absolute Deviation (MAD)5326471.5
Skewness10.078277
Sum6.0782513 × 1010
Variance4.3790844 × 1017
MonotonicityNot monotonic
2024-04-06T21:16:39.142669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28725890 3
 
0.9%
23881561 2
 
0.6%
234832000 2
 
0.6%
25110845 2
 
0.6%
28345020 2
 
0.6%
237853063 2
 
0.6%
226319285 2
 
0.6%
222693820 2
 
0.6%
226115304 2
 
0.6%
28352514 2
 
0.6%
Other values (315) 317
92.7%
(Missing) 4
 
1.2%
ValueCountFrequency (%)
23033345 1
0.3%
23046620 1
0.3%
23069483 1
0.3%
23236431 1
0.3%
23243567 1
0.3%
23263011 1
0.3%
23263495 1
0.3%
23319910 1
0.3%
23333215 1
0.3%
23333842 1
0.3%
ValueCountFrequency (%)
7076220118 1
0.3%
7075693182 1
0.3%
7040474151 1
0.3%
623656363 1
0.3%
612427372 1
0.3%
559457971 1
0.3%
328170160 1
0.3%
269898881 1
0.3%
269537577 1
0.3%
269252477 1
0.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

소재지우편번호
Text

MISSING 

Distinct225
Distinct (%)89.6%
Missing91
Missing (%)26.6%
Memory size2.8 KiB
2024-04-06T21:16:39.827818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0996016
Min length5

Characters and Unicode

Total characters1531
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)83.7%

Sample

1st row137-160
2nd row139-807
3rd row05770
4th row150-037
5th row153-793
ValueCountFrequency (%)
138200 5
 
2.0%
137070 4
 
1.6%
153030 4
 
1.6%
153023 4
 
1.6%
150044 3
 
1.2%
152050 3
 
1.2%
153775 2
 
0.8%
06118 2
 
0.8%
153777 2
 
0.8%
157030 2
 
0.8%
Other values (215) 220
87.6%
2024-04-06T21:16:40.899996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 319
20.8%
0 258
16.9%
8 181
11.8%
5 174
11.4%
3 170
11.1%
2 112
 
7.3%
7 107
 
7.0%
4 67
 
4.4%
6 54
 
3.5%
9 45
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1487
97.1%
Dash Punctuation 44
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 319
21.5%
0 258
17.4%
8 181
12.2%
5 174
11.7%
3 170
11.4%
2 112
 
7.5%
7 107
 
7.2%
4 67
 
4.5%
6 54
 
3.6%
9 45
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1531
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 319
20.8%
0 258
16.9%
8 181
11.8%
5 174
11.4%
3 170
11.1%
2 112
 
7.3%
7 107
 
7.0%
4 67
 
4.4%
6 54
 
3.5%
9 45
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1531
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 319
20.8%
0 258
16.9%
8 181
11.8%
5 174
11.4%
3 170
11.1%
2 112
 
7.3%
7 107
 
7.0%
4 67
 
4.4%
6 54
 
3.5%
9 45
 
2.9%

지번주소
Text

Distinct340
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-06T21:16:41.500973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length30.453216
Min length17

Characters and Unicode

Total characters10415
Distinct characters290
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

Unique338 ?
Unique (%)98.8%

Sample

1st row서울특별시 서초구 신원동 271번지 23호 내곡드림시티2차 501호
2nd row서울특별시 양천구 신정동 1026-2 성원빌딩 303호
3rd row서울특별시 서대문구 북가좌동 487번지 성공타워1 506호
4th row서울특별시 금천구 가산동 660번지 에이스하이엔드타워10차 809호
5th row서울특별시 마포구 도화동 553번지 마스터즈타워빌딩 2104호
ValueCountFrequency (%)
서울특별시 338
 
16.4%
영등포구 35
 
1.7%
송파구 34
 
1.6%
금천구 30
 
1.5%
강서구 29
 
1.4%
강남구 29
 
1.4%
1호 25
 
1.2%
가산동 25
 
1.2%
서초구 23
 
1.1%
구로구 21
 
1.0%
Other values (854) 1473
71.4%
2024-04-06T21:16:42.798623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2079
20.0%
서 415
 
4.0%
동 410
 
3.9%
1 392
 
3.8%
호 382
 
3.7%
구 379
 
3.6%
시 361
 
3.5%
울 339
 
3.3%
별 338
 
3.2%
특 338
 
3.2%
Other values (280) 4982
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6108
58.6%
Decimal Number 2104
 
20.2%
Space Separator 2079
 
20.0%
Dash Punctuation 77
 
0.7%
Uppercase Letter 31
 
0.3%
Other Punctuation 9
 
0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%
Letter Number 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 415
 
6.8%
동 410
 
6.7%
호 382
 
6.3%
구 379
 
6.2%
시 361
 
5.9%
울 339
 
5.6%
별 338
 
5.5%
특 338
 
5.5%
지 295
 
4.8%
번 273
 
4.5%
Other values (246) 2578
42.2%
Uppercase Letter
ValueCountFrequency (%)
C 4
12.9%
B 4
12.9%
S 3
9.7%
G 3
9.7%
A 3
9.7%
T 3
9.7%
H 2
6.5%
I 2
6.5%
Y 2
6.5%
K 2
6.5%
Other values (3) 3
9.7%
Decimal Number
ValueCountFrequency (%)
1 392
18.6%
2 333
15.8%
0 254
12.1%
3 228
10.8%
4 198
9.4%
5 167
7.9%
6 166
7.9%
7 137
 
6.5%
9 118
 
5.6%
8 111
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
y 1
33.3%
i 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
/ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
2079
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6108
58.6%
Common 4272
41.0%
Latin 35
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 415
 
6.8%
동 410
 
6.7%
호 382
 
6.3%
구 379
 
6.2%
시 361
 
5.9%
울 339
 
5.6%
별 338
 
5.5%
특 338
 
5.5%
지 295
 
4.8%
번 273
 
4.5%
Other values (246) 2578
42.2%
Common
ValueCountFrequency (%)
2079
48.7%
1 392
 
9.2%
2 333
 
7.8%
0 254
 
5.9%
3 228
 
5.3%
4 198
 
4.6%
5 167
 
3.9%
6 166
 
3.9%
7 137
 
3.2%
9 118
 
2.8%
Other values (7) 200
 
4.7%
Latin
ValueCountFrequency (%)
C 4
11.4%
B 4
11.4%
S 3
8.6%
G 3
8.6%
A 3
8.6%
T 3
8.6%
H 2
 
5.7%
I 2
 
5.7%
Y 2
 
5.7%
K 2
 
5.7%
Other values (7) 7
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6108
58.6%
ASCII 4306
41.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2079
48.3%
1 392
 
9.1%
2 333
 
7.7%
0 254
 
5.9%
3 228
 
5.3%
4 198
 
4.6%
5 167
 
3.9%
6 166
 
3.9%
7 137
 
3.2%
9 118
 
2.7%
Other values (23) 234
 
5.4%
Hangul
ValueCountFrequency (%)
서 415
 
6.8%
동 410
 
6.7%
호 382
 
6.3%
구 379
 
6.2%
시 361
 
5.9%
울 339
 
5.6%
별 338
 
5.5%
특 338
 
5.5%
지 295
 
4.8%
번 273
 
4.5%
Other values (246) 2578
42.2%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명주소
Text

MISSING 

Distinct333
Distinct (%)99.4%
Missing7
Missing (%)2.0%
Memory size2.8 KiB
2024-04-06T21:16:43.313775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43
Mean length33.934328
Min length19

Characters and Unicode

Total characters11368
Distinct characters330
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

Unique331 ?
Unique (%)98.8%

Sample

1st row서울특별시 서초구 청계산로 189, 501호 (신원동,내곡드림시티2차)
2nd row서울특별시 양천구 신월로 340, 성원빌딩 303호(신정동)
3rd row서울특별시 서대문구 수색로 56, 5층 506호 (북가좌동,성공타워1)
4th row서울특별시 금천구 가산디지털1로 30, 809호 (가산동,에이스하이엔드타워10차)
5th row서울특별시 마포구 독막로 331, 마스터즈타워빌딩 2104호 (도화동)
ValueCountFrequency (%)
서울특별시 331
 
16.5%
송파구 33
 
1.6%
영등포구 32
 
1.6%
금천구 30
 
1.5%
강남구 29
 
1.4%
강서구 28
 
1.4%
2층 25
 
1.2%
서초구 23
 
1.1%
구로구 21
 
1.0%
마포구 18
 
0.9%
Other values (942) 1435
71.6%
2024-04-06T21:16:44.127185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1670
 
14.7%
동 425
 
3.7%
서 423
 
3.7%
, 377
 
3.3%
구 376
 
3.3%
로 376
 
3.3%
1 367
 
3.2%
시 360
 
3.2%
) 335
 
2.9%
( 335
 
2.9%
Other values (320) 6324
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6707
59.0%
Decimal Number 1867
 
16.4%
Space Separator 1670
 
14.7%
Other Punctuation 378
 
3.3%
Close Punctuation 335
 
2.9%
Open Punctuation 335
 
2.9%
Dash Punctuation 38
 
0.3%
Uppercase Letter 31
 
0.3%
Math Symbol 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 425
 
6.3%
서 423
 
6.3%
구 376
 
5.6%
로 376
 
5.6%
시 360
 
5.4%
울 333
 
5.0%
특 331
 
4.9%
별 331
 
4.9%
호 180
 
2.7%
길 174
 
2.6%
Other values (286) 3398
50.7%
Uppercase Letter
ValueCountFrequency (%)
C 4
12.9%
A 4
12.9%
B 4
12.9%
G 3
9.7%
S 3
9.7%
Y 2
6.5%
H 2
6.5%
I 2
6.5%
T 2
6.5%
K 2
6.5%
Other values (3) 3
9.7%
Decimal Number
ValueCountFrequency (%)
1 367
19.7%
2 302
16.2%
0 227
12.2%
3 212
11.4%
5 168
9.0%
4 155
8.3%
6 131
 
7.0%
7 107
 
5.7%
9 103
 
5.5%
8 95
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
i 1
33.3%
t 1
33.3%
y 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 377
99.7%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1670
100.0%
Close Punctuation
ValueCountFrequency (%)
) 335
100.0%
Open Punctuation
ValueCountFrequency (%)
( 335
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6707
59.0%
Common 4626
40.7%
Latin 35
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 425
 
6.3%
서 423
 
6.3%
구 376
 
5.6%
로 376
 
5.6%
시 360
 
5.4%
울 333
 
5.0%
특 331
 
4.9%
별 331
 
4.9%
호 180
 
2.7%
길 174
 
2.6%
Other values (286) 3398
50.7%
Common
ValueCountFrequency (%)
1670
36.1%
, 377
 
8.1%
1 367
 
7.9%
) 335
 
7.2%
( 335
 
7.2%
2 302
 
6.5%
0 227
 
4.9%
3 212
 
4.6%
5 168
 
3.6%
4 155
 
3.4%
Other values (7) 478
 
10.3%
Latin
ValueCountFrequency (%)
C 4
11.4%
A 4
11.4%
B 4
11.4%
G 3
8.6%
S 3
8.6%
Y 2
 
5.7%
H 2
 
5.7%
I 2
 
5.7%
T 2
 
5.7%
K 2
 
5.7%
Other values (7) 7
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6707
59.0%
ASCII 4660
41.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1670
35.8%
, 377
 
8.1%
1 367
 
7.9%
) 335
 
7.2%
( 335
 
7.2%
2 302
 
6.5%
0 227
 
4.9%
3 212
 
4.5%
5 168
 
3.6%
4 155
 
3.3%
Other values (23) 512
 
11.0%
Hangul
ValueCountFrequency (%)
동 425
 
6.3%
서 423
 
6.3%
구 376
 
5.6%
로 376
 
5.6%
시 360
 
5.4%
울 333
 
5.0%
특 331
 
4.9%
별 331
 
4.9%
호 180
 
2.7%
길 174
 
2.6%
Other values (286) 3398
50.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명우편번호
Text

MISSING 

Distinct203
Distinct (%)94.4%
Missing127
Missing (%)37.1%
Memory size2.8 KiB
2024-04-06T21:16:44.811177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.6418605
Min length5

Characters and Unicode

Total characters1213
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)89.8%

Sample

1st row137-160
2nd row08086
3rd row03709
4th row08591
5th row04156
ValueCountFrequency (%)
138200 4
 
1.9%
05349 2
 
0.9%
07345 2
 
0.9%
06118 2
 
0.9%
06725 2
 
0.9%
08214 2
 
0.9%
04156 2
 
0.9%
03973 2
 
0.9%
07222 2
 
0.9%
153777 2
 
0.9%
Other values (193) 193
89.8%
2024-04-06T21:16:45.905969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 225
18.5%
1 174
14.3%
8 138
11.4%
5 134
11.0%
7 130
10.7%
3 115
9.5%
2 91
7.5%
6 72
 
5.9%
9 51
 
4.2%
4 50
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1180
97.3%
Dash Punctuation 33
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 225
19.1%
1 174
14.7%
8 138
11.7%
5 134
11.4%
7 130
11.0%
3 115
9.7%
2 91
7.7%
6 72
 
6.1%
9 51
 
4.3%
4 50
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1213
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 225
18.5%
1 174
14.3%
8 138
11.4%
5 134
11.0%
7 130
10.7%
3 115
9.5%
2 91
7.5%
6 72
 
5.9%
9 51
 
4.2%
4 50
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1213
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 225
18.5%
1 174
14.3%
8 138
11.4%
5 134
11.0%
7 130
10.7%
3 115
9.5%
2 91
7.5%
6 72
 
5.9%
9 51
 
4.2%
4 50
 
4.1%

사업장명
Text

Distinct333
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-06T21:16:46.386167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length17
Mean length9.3596491
Min length4

Characters and Unicode

Total characters3201
Distinct characters243
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique324 ?
Unique (%)94.7%

Sample

1st row원엘리베이터(주)
2nd row신흥이엘 주식회사
3rd row(주)가경엘리베이터
4th row(주)코어엘리베이터
5th row(주)하나엘에스
ValueCountFrequency (%)
주식회사 22
 
5.8%
대한엘리베이터 4
 
1.1%
유한회사 3
 
0.8%
한불에너지관리(주 2
 
0.5%
신동양엘리베이터(주 2
 
0.5%
주 2
 
0.5%
신한엘리베이터(주 2
 
0.5%
주)비와이엘리베이터 2
 
0.5%
원일엘리베이터 2
 
0.5%
주)광원엘리베이터 2
 
0.5%
Other values (332) 335
88.6%
2024-04-06T21:16:47.074673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 305
 
9.5%
( 272
 
8.5%
) 271
 
8.5%
이 225
 
7.0%
엘 189
 
5.9%
리 189
 
5.9%
터 166
 
5.2%
베 164
 
5.1%
스 55
 
1.7%
한 48
 
1.5%
Other values (233) 1317
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2600
81.2%
Open Punctuation 272
 
8.5%
Close Punctuation 271
 
8.5%
Space Separator 36
 
1.1%
Uppercase Letter 12
 
0.4%
Lowercase Letter 8
 
0.2%
Other Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 305
 
11.7%
이 225
 
8.7%
엘 189
 
7.3%
리 189
 
7.3%
터 166
 
6.4%
베 164
 
6.3%
스 55
 
2.1%
한 48
 
1.8%
지 44
 
1.7%
성 37
 
1.4%
Other values (212) 1178
45.3%
Uppercase Letter
ValueCountFrequency (%)
S 3
25.0%
K 2
16.7%
I 1
 
8.3%
N 1
 
8.3%
Q 1
 
8.3%
C 1
 
8.3%
E 1
 
8.3%
Y 1
 
8.3%
G 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
r 1
12.5%
t 1
12.5%
a 1
12.5%
v 1
12.5%
e 1
12.5%
l 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 272
100.0%
Close Punctuation
ValueCountFrequency (%)
) 271
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2601
81.3%
Common 580
 
18.1%
Latin 20
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 305
 
11.7%
이 225
 
8.7%
엘 189
 
7.3%
리 189
 
7.3%
터 166
 
6.4%
베 164
 
6.3%
스 55
 
2.1%
한 48
 
1.8%
지 44
 
1.7%
성 37
 
1.4%
Other values (213) 1179
45.3%
Latin
ValueCountFrequency (%)
S 3
15.0%
o 2
 
10.0%
K 2
 
10.0%
I 1
 
5.0%
N 1
 
5.0%
Q 1
 
5.0%
C 1
 
5.0%
r 1
 
5.0%
t 1
 
5.0%
a 1
 
5.0%
Other values (6) 6
30.0%
Common
ValueCountFrequency (%)
( 272
46.9%
) 271
46.7%
36
 
6.2%
: 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2600
81.2%
ASCII 600
 
18.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 305
 
11.7%
이 225
 
8.7%
엘 189
 
7.3%
리 189
 
7.3%
터 166
 
6.4%
베 164
 
6.3%
스 55
 
2.1%
한 48
 
1.8%
지 44
 
1.7%
성 37
 
1.4%
Other values (212) 1178
45.3%
ASCII
ValueCountFrequency (%)
( 272
45.3%
) 271
45.2%
36
 
6.0%
S 3
 
0.5%
o 2
 
0.3%
K 2
 
0.3%
I 1
 
0.2%
N 1
 
0.2%
Q 1
 
0.2%
C 1
 
0.2%
Other values (10) 10
 
1.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct342
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2009-04-09 19:53:25
Maximum2024-04-04 15:05:28
2024-04-06T21:16:47.414586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:16:47.797105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
U
188 
I
154 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 188
55.0%
I 154
45.0%

Length

2024-04-06T21:16:48.034896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:48.210370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 188
55.0%
i 154
45.0%

데이터갱신일자
Date

Distinct89
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T21:16:48.396016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:16:48.659384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct302
Distinct (%)91.8%
Missing13
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean197743.08
Minimum145231.32
Maximum284067.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:16:48.934996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum145231.32
5-th percentile185756.42
Q1190107.3
median197177.78
Q3204709.71
95-th percentile211679.03
Maximum284067.64
Range138836.32
Interquartile range (IQR)14602.409

Descriptive statistics

Standard deviation10148.618
Coefficient of variation (CV)0.051322244
Kurtosis16.379536
Mean197743.08
Median Absolute Deviation (MAD)7212.0948
Skewness1.5164467
Sum65057473
Variance1.0299446 × 108
MonotonicityNot monotonic
2024-04-06T21:16:49.213153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189748.024164036 3
 
0.9%
191294.888798759 3
 
0.9%
190364.652010662 2
 
0.6%
187496.753603391 2
 
0.6%
194561.746032498 2
 
0.6%
205729.347626245 2
 
0.6%
202463.533784979 2
 
0.6%
200654.249279478 2
 
0.6%
190496.447846852 2
 
0.6%
197177.783094547 2
 
0.6%
Other values (292) 307
89.8%
(Missing) 13
 
3.8%
ValueCountFrequency (%)
145231.318153 1
0.3%
173817.236442044 1
0.3%
183315.556652953 2
0.6%
183320.163451081 1
0.3%
183437.014823346 1
0.3%
183750.864431049 1
0.3%
183753.970850626 1
0.3%
184258.245268635 1
0.3%
184258.906263226 1
0.3%
184443.12135918 1
0.3%
ValueCountFrequency (%)
284067.636326631 1
0.3%
215037.586724456 1
0.3%
212994.727886798 1
0.3%
212978.137709539 1
0.3%
212882.366775249 1
0.3%
212836.421377377 2
0.6%
212721.851392853 1
0.3%
212496.814538424 1
0.3%
212431.387866129 1
0.3%
212374.880706323 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct302
Distinct (%)91.8%
Missing13
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean445283.9
Minimum143808.92
Maximum463712.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:16:49.477588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143808.92
5-th percentile441001.99
Q1443595.23
median446816.4
Q3450710.18
95-th percentile459468.6
Maximum463712.7
Range319903.78
Interquartile range (IQR)7114.9511

Descriptive statistics

Standard deviation25490.453
Coefficient of variation (CV)0.057245396
Kurtosis105.18716
Mean445283.9
Median Absolute Deviation (MAD)3486.2431
Skewness-9.9678654
Sum1.464984 × 108
Variance6.4976318 × 108
MonotonicityNot monotonic
2024-04-06T21:16:49.756948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442174.424111843 3
 
0.9%
448194.634931258 3
 
0.9%
447158.946262059 2
 
0.6%
447163.623642728 2
 
0.6%
446364.318286465 2
 
0.6%
456761.672987092 2
 
0.6%
445000.698645674 2
 
0.6%
450004.623949461 2
 
0.6%
442645.330573628 2
 
0.6%
448718.318428195 2
 
0.6%
Other values (292) 307
89.8%
(Missing) 13
 
3.8%
ValueCountFrequency (%)
143808.922609 1
0.3%
183987.839934 1
0.3%
239595.349283883 1
0.3%
432845.388005308 1
0.3%
437560.573323753 1
0.3%
437676.252420606 1
0.3%
437813.272630955 1
0.3%
437914.06299827 1
0.3%
438463.510444768 1
0.3%
438754.021156394 1
0.3%
ValueCountFrequency (%)
463712.698662981 1
0.3%
463539.466013739 1
0.3%
463517.966210349 1
0.3%
462787.189725519 1
0.3%
462599.820725101 1
0.3%
462242.989953514 1
0.3%
462207.753031038 1
0.3%
462076.151207778 1
0.3%
462068.962750519 1
0.3%
461942.419198518 1
0.3%

업종구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
186 
유지관리
156 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 186
54.4%
유지관리 156
45.6%

Length

2024-04-06T21:16:49.995089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:50.170966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
54.4%
유지관리 156
45.6%

관리업구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
268 
없음
53 
중저속엘리베이터,휠체어리프트
 
9
중저속엘리베이터
 
7
중저속엘리베이터,에스컬레이터,휠체어리프트
 
4

Length

Max length22
Median length4
Mean length4.3040936
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> 268
78.4%
없음 53
 
15.5%
중저속엘리베이터,휠체어리프트 9
 
2.6%
중저속엘리베이터 7
 
2.0%
중저속엘리베이터,에스컬레이터,휠체어리프트 4
 
1.2%
중저속엘리베이터,에스컬레이터 1
 
0.3%

Length

2024-04-06T21:16:50.385350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:50.623113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 268
78.4%
없음 53
 
15.5%
중저속엘리베이터,휠체어리프트 9
 
2.6%
중저속엘리베이터 7
 
2.0%
중저속엘리베이터,에스컬레이터,휠체어리프트 4
 
1.2%
중저속엘리베이터,에스컬레이터 1
 
0.3%

자본금
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)27.6%
Missing186
Missing (%)54.4%
Infinite0
Infinite (%)0.0%
Mean7.3462738 × 109
Minimum10000000
Maximum1.0663677 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:16:50.912072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000000
5-th percentile1 × 108
Q11 × 108
median1.325 × 108
Q35 × 108
95-th percentile3 × 109
Maximum1.0663677 × 1012
Range1.0663577 × 1012
Interquartile range (IQR)4 × 108

Descriptive statistics

Standard deviation8.5342161 × 1010
Coefficient of variation (CV)11.617068
Kurtosis155.9586
Mean7.3462738 × 109
Median Absolute Deviation (MAD)42000000
Skewness12.487531
Sum1.1460187 × 1012
Variance7.2832844 × 1021
MonotonicityNot monotonic
2024-04-06T21:16:51.155300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
100000000 53
 
15.5%
200000000 20
 
5.8%
300000000 13
 
3.8%
500000000 9
 
2.6%
1000000000 9
 
2.6%
110000000 4
 
1.2%
3000000000 4
 
1.2%
120000000 3
 
0.9%
105000000 3
 
0.9%
800000000 2
 
0.6%
Other values (33) 36
 
10.5%
(Missing) 186
54.4%
ValueCountFrequency (%)
10000000 1
 
0.3%
10500000 1
 
0.3%
100000000 53
15.5%
102000000 1
 
0.3%
103000000 1
 
0.3%
103018000 1
 
0.3%
105000000 3
 
0.9%
105242380 1
 
0.3%
106000000 1
 
0.3%
107000000 1
 
0.3%
ValueCountFrequency (%)
1066367745589 1
 
0.3%
6000000000 1
 
0.3%
5189200000 1
 
0.3%
5000000000 1
 
0.3%
4320000000 1
 
0.3%
3860000000 1
 
0.3%
3000000000 4
1.2%
2000000000 1
 
0.3%
1800000000 1
 
0.3%
1500000000 1
 
0.3%

자산
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

보수범위
Categorical

Distinct12
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
186 
100
69 
500
30 
200
 
16
700
 
16
Other values (7)
25 

Length

Max length5
Median length4
Mean length3.5614035
Min length3

Unique

Unique4 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 186
54.4%
100 69
 
20.2%
500 30
 
8.8%
200 16
 
4.7%
700 16
 
4.7%
300 12
 
3.5%
400 5
 
1.5%
600 4
 
1.2%
2,000 1
 
0.3%
800 1
 
0.3%
Other values (2) 2
 
0.6%

Length

2024-04-06T21:16:51.434641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 186
54.4%
100 69
 
20.2%
500 30
 
8.8%
200 16
 
4.7%
700 16
 
4.7%
300 12
 
3.5%
400 5
 
1.5%
600 4
 
1.2%
2,000 1
 
0.3%
800 1
 
0.3%
Other values (2) 2
 
0.6%

유지관리책임인력수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)6.4%
Missing186
Missing (%)54.4%
Infinite0
Infinite (%)0.0%
Mean2.4807692
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:16:51.640469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum21
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2244134
Coefficient of variation (CV)0.89666276
Kurtosis31.855814
Mean2.4807692
Median Absolute Deviation (MAD)1
Skewness4.6074358
Sum387
Variance4.9480149
MonotonicityNot monotonic
2024-04-06T21:16:51.846721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 70
 
20.5%
1 46
 
13.5%
4 13
 
3.8%
3 12
 
3.5%
5 5
 
1.5%
8 3
 
0.9%
6 3
 
0.9%
7 2
 
0.6%
21 1
 
0.3%
11 1
 
0.3%
(Missing) 186
54.4%
ValueCountFrequency (%)
1 46
13.5%
2 70
20.5%
3 12
 
3.5%
4 13
 
3.8%
5 5
 
1.5%
6 3
 
0.9%
7 2
 
0.6%
8 3
 
0.9%
11 1
 
0.3%
21 1
 
0.3%
ValueCountFrequency (%)
21 1
 
0.3%
11 1
 
0.3%
8 3
 
0.9%
7 2
 
0.6%
6 3
 
0.9%
5 5
 
1.5%
4 13
 
3.8%
3 12
 
3.5%
2 70
20.5%
1 46
13.5%

실무기술인력수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)4.5%
Missing187
Missing (%)54.7%
Infinite0
Infinite (%)0.0%
Mean2.7032258
Minimum0
Maximum10
Zeros20
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:16:52.083188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median3
Q33
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2388421
Coefficient of variation (CV)0.45828288
Kurtosis8.6461541
Mean2.7032258
Median Absolute Deviation (MAD)0
Skewness0.20925089
Sum419
Variance1.5347298
MonotonicityNot monotonic
2024-04-06T21:16:52.296438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 127
37.1%
0 20
 
5.8%
5 2
 
0.6%
2 2
 
0.6%
4 2
 
0.6%
10 1
 
0.3%
6 1
 
0.3%
(Missing) 187
54.7%
ValueCountFrequency (%)
0 20
 
5.8%
2 2
 
0.6%
3 127
37.1%
4 2
 
0.6%
5 2
 
0.6%
6 1
 
0.3%
10 1
 
0.3%
ValueCountFrequency (%)
10 1
 
0.3%
6 1
 
0.3%
5 2
 
0.6%
4 2
 
0.6%
3 127
37.1%
2 2
 
0.6%
0 20
 
5.8%

설계책임기술인력수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

제조책임기술인력수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

임원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

총직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)15.0%
Missing302
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean3.4
Minimum0
Maximum14
Zeros18
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:16:52.466677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q35.25
95-th percentile8
Maximum14
Range14
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation3.4626209
Coefficient of variation (CV)1.0184179
Kurtosis0.28544343
Mean3.4
Median Absolute Deviation (MAD)3
Skewness0.64253165
Sum136
Variance11.989744
MonotonicityNot monotonic
2024-04-06T21:16:52.660017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 18
 
5.3%
5 12
 
3.5%
6 4
 
1.2%
8 3
 
0.9%
7 2
 
0.6%
14 1
 
0.3%
(Missing) 302
88.3%
ValueCountFrequency (%)
0 18
5.3%
5 12
3.5%
6 4
 
1.2%
7 2
 
0.6%
8 3
 
0.9%
14 1
 
0.3%
ValueCountFrequency (%)
14 1
 
0.3%
8 3
 
0.9%
7 2
 
0.6%
6 4
 
1.2%
5 12
3.5%
0 18
5.3%

기술직직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

기능직직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

사무직직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

기타인원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

회사구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
297 
본점
42 
지점
 
3

Length

Max length4
Median length4
Mean length3.7368421
Min length2

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> 297
86.8%
본점 42
 
12.3%
지점 3
 
0.9%

Length

2024-04-06T21:16:52.930506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:53.236685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 297
86.8%
본점 42
 
12.3%
지점 3
 
0.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명관리업구분명자본금자산보수범위유지관리책임인력수실무기술인력수설계책임기술인력수제조책임기술인력수임원수총직원수기술직직원수기능직직원수사무직직원수기타인원수회사구분명
061100006110000002902000-04-21<NA>1영업/정상1인허가<NA><NA><NA><NA>25768701<NA>137-160서울특별시 서초구 신원동 271번지 23호 내곡드림시티2차 501호서울특별시 서초구 청계산로 189, 501호 (신원동,내곡드림시티2차)137-160원엘리베이터(주)2024-02-16 09:52:15U2023-12-01 23:08:00.0<NA>204833.349826438463.510445<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
161100006110000005182021-04-15<NA>1영업/정상1인허가<NA><NA><NA><NA>226901566<NA><NA>서울특별시 양천구 신정동 1026-2 성원빌딩 303호서울특별시 양천구 신월로 340, 성원빌딩 303호(신정동)08086신흥이엘 주식회사2023-02-16 18:00:41U2022-12-01 23:08:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
261100006110000004162008-04-24<NA>1영업/정상1인허가<NA><NA><NA><NA>23769996<NA><NA>서울특별시 서대문구 북가좌동 487번지 성공타워1 506호서울특별시 서대문구 수색로 56, 5층 506호 (북가좌동,성공타워1)03709(주)가경엘리베이터2024-03-29 17:46:37U2023-12-02 21:01:00.0<NA>192209.323633452067.03943<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
361100006110000004952017-06-15<NA>1영업/정상1인허가<NA><NA><NA><NA>28578772<NA><NA>서울특별시 금천구 가산동 660번지 에이스하이엔드타워10차 809호서울특별시 금천구 가산디지털1로 30, 809호 (가산동,에이스하이엔드타워10차)08591(주)코어엘리베이터2023-03-03 12:18:28U2022-12-03 00:05:00.0<NA>189975.894747440742.22348<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
461100006110000005032018-06-01<NA>1영업/정상1인허가<NA><NA><NA><NA>27131173<NA><NA>서울특별시 마포구 도화동 553번지 마스터즈타워빌딩 2104호서울특별시 마포구 독막로 331, 마스터즈타워빌딩 2104호 (도화동)04156(주)하나엘에스2024-03-22 10:49:31U2023-12-02 22:04:00.0<NA>195454.875715448970.223733<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
561100006110000003812005-08-18<NA>1영업/정상1인허가<NA><NA><NA><NA>226033958<NA><NA>서울특별시 강서구 마곡동 798-14 마곡엠시그니처 910-911호서울특별시 강서구 마곡중앙1로 20, 마곡엠시그니처 9층 910-911호 (마곡동)07807대한승강에이전트(주)2024-01-26 17:10:00U2023-11-30 22:08:00.0<NA>184443.121359450710.177911<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
661100006110000003522003-11-11<NA>1영업/정상1인허가<NA><NA><NA><NA>232963918<NA>139-807서울특별시 노원구 공릉1동 573번지 22호 재진빌딩 3층서울특별시 노원구 동일로173가길 65, 3층 (공릉동,재진빌딩)139-807우신프라임(주)2024-02-23 08:55:01U2023-12-01 22:05:00.0<NA>206341.38403457650.394801<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
761100006110000005302023-06-19<NA>1영업/정상1인허가<NA><NA><NA><NA>24304020<NA>05770서울특별시 송파구 가락동 175-4 대부빌딩 0호서울특별시 송파구 오금로46길 17, 대부빌딩 5층 (가락동)05770유원승강기(주)2024-01-15 07:19:22U2023-11-30 23:07:00.0<NA>211912.869232443738.240514<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
861100006110000005292023-03-08<NA>1영업/정상1인허가<NA><NA><NA><NA>24770118<NA><NA>서울특별시 강동구 길동 142번지 재영빌2층서울특별시 강동구 명일로 206, 재영빌 2층 (길동)05349대한엘리베이터 주식회사 양주지점2023-07-25 11:01:47U2022-12-06 22:07:00.0<NA>212836.421377448312.891912<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
961100006110000002962000-08-21<NA>1영업/정상1인허가<NA><NA><NA><NA>29870363<NA><NA>서울특별시 성북구 하월곡동 90번지 1558호 대진빌딩서울특별시 성북구 오패산로3길 47, 2층 (하월곡동,대진빌딩)02739동신엘리베이터(주)2024-03-07 08:41:41U2023-12-03 00:09:00.0<NA>203042.256948455887.240351<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명관리업구분명자본금자산보수범위유지관리책임인력수실무기술인력수설계책임기술인력수제조책임기술인력수임원수총직원수기술직직원수기능직직원수사무직직원수기타인원수회사구분명
332611000061100000000219921123<NA>1영업/정상1인허가<NA><NA><NA><NA>25433977<NA><NA>서울특별시 강남구 신사동 522번지 6호 신광빌딩서울특별시 강남구 강남대로162길 21, 3층 (신사동,신광빌딩)06028남강엘리베이터(주)2022-06-09 07:41:33U2021-12-08 22:08:00.0<NA>201715.020705446446.562911<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
333611000061100000006719930308<NA>1영업/정상1인허가<NA><NA><NA><NA>24027422<NA>05731서울특별시 송파구 오금동 113-3 송학빌딩 502호서울특별시 송파구 문정로 259, 송학빌딩 502호 (오금동)05731삼우엘리베이터2022-12-08 10:13:26U2021-11-01 23:00:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33461100006110000000651993-03-08<NA>1영업/정상1인허가<NA><NA><NA><NA>25156999<NA>137-070서울특별시 서초구 서초동 1315번지서울특별시 서초구 서초대로 385, 303호 (서초동,진흥프라자)137-070태양엘리베이터(주)2024-02-08 16:18:14U2023-12-01 23:03:00.0<NA>201930.014908443904.461724<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33561100006110000000681993-03-08<NA>1영업/정상1인허가<NA><NA><NA><NA>27417293<NA><NA>서울특별시 구로구 구로동 614-50 대명벨리온지식산업센터 1106호서울특별시 구로구 경인로53가길 10, 대명벨리온지식산업센터 1106호 (구로동)08214세방엘리베이터(주)2024-01-25 10:39:23U2023-11-30 22:07:00.0<NA>188832.235055444554.302462<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33661100006110000000351993-01-19<NA>1영업/정상1인허가<NA><NA><NA><NA>234092250<NA>133-832서울특별시 성동구 성수2가3동 279번지 50호 대우프래시아 207호서울특별시 성동구 동일로 143, 207호 (성수동2가,대우프래시아)<NA>한국스토리지시스템(주)2023-09-13 14:29:59U2022-12-08 23:05:00.0<NA>205701.564885449237.534297<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33761100006110000000461993-01-19<NA>1영업/정상1인허가<NA><NA><NA><NA>24235857<NA><NA>서울특별시 송파구 송파동 84번지 7호 영빌딩 510호서울특별시 송파구 송파대로 422, 510호 (송파동,영빌딩)05667대한엘리베이터안전관리2024-01-26 13:44:21U2023-11-30 22:08:00.0<NA>209484.320725444751.414366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33861100006110000000061992-12-31<NA>1영업/정상1인허가<NA><NA><NA><NA>28391251<NA>08290서울특별시 구로구 구로동 552-60 대창빌딩 201호서울특별시 구로구 공원로11길 4, 대창빌딩 201호 (구로동)08290(주)수송엔지니어링2024-03-21 16:52:11U2023-12-02 22:03:00.0<NA>189965.68833444628.911199<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33961100006110000000291993-01-19<NA>1영업/정상1인허가<NA><NA><NA><NA>25476802<NA><NA>서울특별시 강남구 역삼동 611-2 언주빌딩2층서울특별시 강남구 논현로105길 31, 언주빌딩 2층(역삼동)06127도버엔지니어링2023-11-14 09:20:15U2022-10-31 23:06:00.0<NA>202737.871658444825.893585<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34061100006110000000711993-03-15<NA>1영업/정상1인허가<NA><NA><NA><NA>234114426<NA><NA>서울특별시 강남구 개포동 186-15 소망빌딩 304호서울특별시 강남구 개포로 508, 소망빌딩 304호 (개포동)06329영성엘리베이터(주)2024-01-18 10:46:22U2023-11-30 22:00:00.0<NA>205940.627825443003.318633<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34161100006110000000361993-01-19<NA>1영업/정상1인허가<NA><NA><NA><NA>29332354<NA><NA>서울특별시 도봉구 방학동 705번지 17호 퍼스티안 206호서울특별시 도봉구 도봉로150가길 27, 2층 206호 (방학동,퍼스티안)01333한양엘리베이터(주)2024-03-26 16:49:58U2023-12-02 22:08:00.0<NA>203802.90257462787.189726<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>