Overview

Dataset statistics

Number of variables41
Number of observations73
Missing cells1238
Missing cells (%)41.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.5 KiB
Average record size in memory357.8 B

Variable types

Categorical13
Numeric6
DateTime2
Unsupported14
Text6

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-16152/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (89.6%)Imbalance
휴업종료일자 is highly imbalanced (89.6%)Imbalance
제조책임기술인력수 is highly imbalanced (67.7%)Imbalance
총직원수 is highly imbalanced (54.2%)Imbalance
인허가취소일자 has 73 (100.0%) missing valuesMissing
폐업일자 has 64 (87.7%) missing valuesMissing
재개업일자 has 73 (100.0%) missing valuesMissing
전화번호 has 2 (2.7%) missing valuesMissing
소재지면적 has 73 (100.0%) missing valuesMissing
소재지우편번호 has 27 (37.0%) missing valuesMissing
업태구분명 has 73 (100.0%) missing valuesMissing
좌표정보(X) has 5 (6.8%) missing valuesMissing
좌표정보(Y) has 5 (6.8%) missing valuesMissing
관리업구분명 has 59 (80.8%) missing valuesMissing
자본금 has 54 (74.0%) missing valuesMissing
자산 has 73 (100.0%) missing valuesMissing
보수범위 has 73 (100.0%) missing valuesMissing
유지관리책임인력수 has 73 (100.0%) missing valuesMissing
실무기술인력수 has 73 (100.0%) missing valuesMissing
임원수 has 73 (100.0%) missing valuesMissing
기술직직원수 has 73 (100.0%) missing valuesMissing
기능직직원수 has 73 (100.0%) missing valuesMissing
사무직직원수 has 73 (100.0%) missing valuesMissing
기타인원수 has 73 (100.0%) missing valuesMissing
회사구분명 has 73 (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
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보수범위 is an unsupported type, check if it needs cleaning or further analysisUnsupported
유지관리책임인력수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실무기술인력수 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
회사구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 11:01:06.704107
Analysis finished2024-04-06 11:01:07.715159
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
6110000
73 

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 73
100.0%

Length

2024-04-06T20:01:07.869131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:08.026852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6110000 73
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct73
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 size789.0 B
2024-04-06T20:01:08.201866image/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
Range72
Interquartile range (IQR)36

Descriptive statistics

Standard deviation21.217131
Coefficient of variation (CV)3.4725256 × 10-11
Kurtosis-1.2
Mean6.11 × 1011
Median Absolute Deviation (MAD)18
Skewness0
Sum4.4603 × 1013
Variance450.16667
MonotonicityNot monotonic
2024-04-06T20:01:08.451197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
611000000016 1
 
1.4%
611000000033 1
 
1.4%
611000000047 1
 
1.4%
611000000029 1
 
1.4%
611000000030 1
 
1.4%
611000000031 1
 
1.4%
611000000034 1
 
1.4%
611000000028 1
 
1.4%
611000000024 1
 
1.4%
611000000032 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
611000000001 1
1.4%
611000000002 1
1.4%
611000000003 1
1.4%
611000000004 1
1.4%
611000000005 1
1.4%
611000000006 1
1.4%
611000000007 1
1.4%
611000000008 1
1.4%
611000000009 1
1.4%
611000000010 1
1.4%
ValueCountFrequency (%)
611000000073 1
1.4%
611000000072 1
1.4%
611000000071 1
1.4%
611000000070 1
1.4%
611000000069 1
1.4%
611000000068 1
1.4%
611000000067 1
1.4%
611000000066 1
1.4%
611000000065 1
1.4%
611000000064 1
1.4%

인허가일자
Date

Distinct65
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
Minimum2013-03-05 00:00:00
Maximum2024-02-15 00:00:00
2024-04-06T20:01:08.691417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:01:08.945003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

영업상태코드
Categorical

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size716.0 B
1
54 
3
10 
5
6 
4
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 54
74.0%
3 10
 
13.7%
5 6
 
8.2%
4 2
 
2.7%
2 1
 
1.4%

Length

2024-04-06T20:01:09.161736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:09.370200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 54
74.0%
3 10
 
13.7%
5 6
 
8.2%
4 2
 
2.7%
2 1
 
1.4%

영업상태명
Categorical

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size716.0 B
영업/정상
54 
폐업
10 
제외/삭제/전출
6 
취소/말소/만료/정지/중지
 
2
휴업
 
1

Length

Max length14
Median length5
Mean length5.0410959
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 54
74.0%
폐업 10
 
13.7%
제외/삭제/전출 6
 
8.2%
취소/말소/만료/정지/중지 2
 
2.7%
휴업 1
 
1.4%

Length

2024-04-06T20:01:09.567651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:09.791106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 54
74.0%
폐업 10
 
13.7%
제외/삭제/전출 6
 
8.2%
취소/말소/만료/정지/중지 2
 
2.7%
휴업 1
 
1.4%

상세영업상태코드
Categorical

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size716.0 B
1
54 
2
10 
7
6 
5
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 54
74.0%
2 10
 
13.7%
7 6
 
8.2%
5 2
 
2.7%
3 1
 
1.4%

Length

2024-04-06T20:01:10.032118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:10.245563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 54
74.0%
2 10
 
13.7%
7 6
 
8.2%
5 2
 
2.7%
3 1
 
1.4%

상세영업상태명
Categorical

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size716.0 B
인허가
54 
폐지
10 
타시도 소재지변경에 의한 말소
6 
등록취소
 
2
휴지
 
1

Length

Max length16
Median length3
Mean length3.9452055
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
인허가 54
74.0%
폐지 10
 
13.7%
타시도 소재지변경에 의한 말소 6
 
8.2%
등록취소 2
 
2.7%
휴지 1
 
1.4%

Length

2024-04-06T20:01:10.525145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:10.740381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인허가 54
59.3%
폐지 10
 
11.0%
타시도 6
 
6.6%
소재지변경에 6
 
6.6%
의한 6
 
6.6%
말소 6
 
6.6%
등록취소 2
 
2.2%
휴지 1
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing64
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean20190614
Minimum20150828
Maximum20210930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T20:01:10.927137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150828
5-th percentile20162549
Q120190228
median20190826
Q320200302
95-th percentile20210770
Maximum20210930
Range60102
Interquartile range (IQR)10074

Descriptive statistics

Standard deviation18015.404
Coefficient of variation (CV)0.0008922663
Kurtosis2.686567
Mean20190614
Median Absolute Deviation (MAD)9476
Skewness-1.2900634
Sum1.8171552 × 108
Variance3.2455479 × 108
MonotonicityNot monotonic
2024-04-06T20:01:11.128769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20150828 1
 
1.4%
20190228 1
 
1.4%
20210531 1
 
1.4%
20200302 1
 
1.4%
20210930 1
 
1.4%
20180131 1
 
1.4%
20190822 1
 
1.4%
20190826 1
 
1.4%
20190927 1
 
1.4%
(Missing) 64
87.7%
ValueCountFrequency (%)
20150828 1
1.4%
20180131 1
1.4%
20190228 1
1.4%
20190822 1
1.4%
20190826 1
1.4%
20190927 1
1.4%
20200302 1
1.4%
20210531 1
1.4%
20210930 1
1.4%
ValueCountFrequency (%)
20210930 1
1.4%
20210531 1
1.4%
20200302 1
1.4%
20190927 1
1.4%
20190826 1
1.4%
20190822 1
1.4%
20190228 1
1.4%
20180131 1
1.4%
20150828 1
1.4%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
72 
20220913
 
1

Length

Max length8
Median length4
Mean length4.0547945
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 72
98.6%
20220913 1
 
1.4%

Length

2024-04-06T20:01:11.395562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:11.637710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
98.6%
20220913 1
 
1.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
72 
20221231
 
1

Length

Max length8
Median length4
Mean length4.0547945
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 72
98.6%
20221231 1
 
1.4%

Length

2024-04-06T20:01:11.877180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:12.072446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
98.6%
20221231 1
 
1.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

전화번호
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)98.6%
Missing2
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean7.3768507 × 108
Minimum23224399
Maximum7.0773938 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T20:01:12.301242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23224399
5-th percentile24030656
Q128461896
median2.260561 × 108
Q32.3662612 × 108
95-th percentile7.0464686 × 109
Maximum7.0773938 × 109
Range7.0541694 × 109
Interquartile range (IQR)2.0816423 × 108

Descriptive statistics

Standard deviation1.9361642 × 109
Coefficient of variation (CV)2.6246487
Kurtosis7.4711945
Mean7.3768507 × 108
Median Absolute Deviation (MAD)43456191
Skewness3.0370236
Sum5.237564 × 1010
Variance3.7487317 × 1018
MonotonicityNot monotonic
2024-04-06T20:01:12.570470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264647234 2
 
2.7%
7040474151 1
 
1.4%
25829060 1
 
1.4%
222578500 1
 
1.4%
27040123 1
 
1.4%
23350897 1
 
1.4%
226786256 1
 
1.4%
24032539 1
 
1.4%
28578772 1
 
1.4%
215441140 1
 
1.4%
Other values (60) 60
82.2%
(Missing) 2
 
2.7%
ValueCountFrequency (%)
23224399 1
1.4%
23319900 1
1.4%
23350897 1
1.4%
24028772 1
1.4%
24032539 1
1.4%
24065072 1
1.4%
24096134 1
1.4%
24252859 1
1.4%
24634900 1
1.4%
24829707 1
1.4%
ValueCountFrequency (%)
7077393800 1
1.4%
7077103061 1
1.4%
7050881089 1
1.4%
7048884500 1
1.4%
7044052695 1
1.4%
7040474151 1
1.4%
328118723 1
1.4%
319841561 1
1.4%
269591470 1
1.4%
269512291 1
1.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

소재지우편번호
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing27
Missing (%)37.0%
Memory size716.0 B
2024-04-06T20:01:12.913620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4130435
Min length5

Characters and Unicode

Total characters249
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

Unique46 ?
Unique (%)100.0%

Sample

1st row132-904
2nd row138854
3rd row153789
4th row150037
5th row05744
ValueCountFrequency (%)
07801 1
 
2.2%
153771 1
 
2.2%
138826 1
 
2.2%
08225 1
 
2.2%
07294 1
 
2.2%
05836 1
 
2.2%
06127 1
 
2.2%
07573 1
 
2.2%
07582 1
 
2.2%
06265 1
 
2.2%
Other values (36) 36
78.3%
2024-04-06T20:01:13.486906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44
17.7%
5 36
14.5%
1 31
12.4%
8 25
10.0%
7 24
9.6%
3 21
8.4%
9 20
8.0%
2 19
7.6%
4 15
 
6.0%
6 12
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 247
99.2%
Dash Punctuation 2
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
17.8%
5 36
14.6%
1 31
12.6%
8 25
10.1%
7 24
9.7%
3 21
8.5%
9 20
8.1%
2 19
7.7%
4 15
 
6.1%
6 12
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 249
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 44
17.7%
5 36
14.5%
1 31
12.4%
8 25
10.0%
7 24
9.6%
3 21
8.4%
9 20
8.0%
2 19
7.6%
4 15
 
6.0%
6 12
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 249
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44
17.7%
5 36
14.5%
1 31
12.4%
8 25
10.0%
7 24
9.6%
3 21
8.4%
9 20
8.0%
2 19
7.6%
4 15
 
6.0%
6 12
 
4.8%

지번주소
Text

Distinct72
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size716.0 B
2024-04-06T20:01:13.974657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length30.712329
Min length18

Characters and Unicode

Total characters2242
Distinct characters190
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

Unique71 ?
Unique (%)97.3%

Sample

1st row서울특별시 도봉구 창동 826번지 북한산한신휴플러스상가 103동 202호
2nd row서울특별시 송파구 송파동 102번지 27호
3rd row서울특별시 동작구 신대방동 395번지 67호 롯데타워
4th row서울특별시 금천구 가산동 371-17 BYCHIGHCITY 비동 1505-가호
5th row서울특별시 금천구 가산동 470번지 5호 에이스테크노타워10차 802호
ValueCountFrequency (%)
서울특별시 73
 
17.5%
가산동 13
 
3.1%
금천구 11
 
2.6%
영등포구 11
 
2.6%
강서구 8
 
1.9%
송파구 8
 
1.9%
마포구 6
 
1.4%
0호 6
 
1.4%
강남구 5
 
1.2%
중구 4
 
1.0%
Other values (225) 273
65.3%
2024-04-06T20:01:14.797380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
350
 
15.6%
1 99
 
4.4%
서 88
 
3.9%
동 87
 
3.9%
구 78
 
3.5%
시 75
 
3.3%
울 74
 
3.3%
특 73
 
3.3%
별 73
 
3.3%
2 70
 
3.1%
Other values (180) 1175
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1338
59.7%
Decimal Number 482
 
21.5%
Space Separator 350
 
15.6%
Dash Punctuation 44
 
2.0%
Uppercase Letter 23
 
1.0%
Lowercase Letter 3
 
0.1%
Other Punctuation 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 88
 
6.6%
동 87
 
6.5%
구 78
 
5.8%
시 75
 
5.6%
울 74
 
5.5%
특 73
 
5.5%
별 73
 
5.5%
호 64
 
4.8%
가 38
 
2.8%
지 37
 
2.8%
Other values (153) 651
48.7%
Decimal Number
ValueCountFrequency (%)
1 99
20.5%
2 70
14.5%
0 70
14.5%
3 47
9.8%
4 43
8.9%
6 41
8.5%
7 34
 
7.1%
8 30
 
6.2%
5 25
 
5.2%
9 23
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
C 5
21.7%
B 3
13.0%
M 2
 
8.7%
D 2
 
8.7%
H 2
 
8.7%
S 2
 
8.7%
Y 2
 
8.7%
G 2
 
8.7%
I 2
 
8.7%
T 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
i 1
33.3%
t 1
33.3%
y 1
33.3%
Space Separator
ValueCountFrequency (%)
350
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1338
59.7%
Common 877
39.1%
Latin 27
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 88
 
6.6%
동 87
 
6.5%
구 78
 
5.8%
시 75
 
5.6%
울 74
 
5.5%
특 73
 
5.5%
별 73
 
5.5%
호 64
 
4.8%
가 38
 
2.8%
지 37
 
2.8%
Other values (153) 651
48.7%
Latin
ValueCountFrequency (%)
C 5
18.5%
B 3
11.1%
M 2
 
7.4%
D 2
 
7.4%
H 2
 
7.4%
S 2
 
7.4%
Y 2
 
7.4%
G 2
 
7.4%
I 2
 
7.4%
i 1
 
3.7%
Other values (4) 4
14.8%
Common
ValueCountFrequency (%)
350
39.9%
1 99
 
11.3%
2 70
 
8.0%
0 70
 
8.0%
3 47
 
5.4%
- 44
 
5.0%
4 43
 
4.9%
6 41
 
4.7%
7 34
 
3.9%
8 30
 
3.4%
Other values (3) 49
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1338
59.7%
ASCII 903
40.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
350
38.8%
1 99
 
11.0%
2 70
 
7.8%
0 70
 
7.8%
3 47
 
5.2%
- 44
 
4.9%
4 43
 
4.8%
6 41
 
4.5%
7 34
 
3.8%
8 30
 
3.3%
Other values (16) 75
 
8.3%
Hangul
ValueCountFrequency (%)
서 88
 
6.6%
동 87
 
6.5%
구 78
 
5.8%
시 75
 
5.6%
울 74
 
5.5%
특 73
 
5.5%
별 73
 
5.5%
호 64
 
4.8%
가 38
 
2.8%
지 37
 
2.8%
Other values (153) 651
48.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명주소
Text

Distinct72
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size716.0 B
2024-04-06T20:01:15.289787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length36.794521
Min length21

Characters and Unicode

Total characters2686
Distinct characters222
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

Unique71 ?
Unique (%)97.3%

Sample

1st row서울특별시 도봉구 도봉로136가길 73, 103동 202호 (창동,북한산한신휴플러스상가)
2nd row서울특별시 송파구 송이로 6 (송파동)
3rd row서울특별시 동작구 보라매로5길 51, 9~11층 (신대방동,롯데타워)
4th row서울특별시 금천구 가산디지털1로 131, BYCHIGHCITY 비동 1505-가호 (가산동)
5th row서울특별시 금천구 가산디지털1로 196, 802호 (가산동,에이스테크노타워10차)
ValueCountFrequency (%)
서울특별시 73
 
15.8%
금천구 11
 
2.4%
영등포구 11
 
2.4%
강서구 8
 
1.7%
송파구 8
 
1.7%
가산동 7
 
1.5%
마포구 6
 
1.3%
가산디지털1로 6
 
1.3%
강남구 5
 
1.1%
2층 4
 
0.9%
Other values (268) 323
69.9%
2024-04-06T20:01:15.960984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
389
 
14.5%
1 104
 
3.9%
서 93
 
3.5%
동 93
 
3.5%
, 82
 
3.1%
로 82
 
3.1%
구 78
 
2.9%
시 75
 
2.8%
울 74
 
2.8%
특 73
 
2.7%
Other values (212) 1543
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1580
58.8%
Decimal Number 447
 
16.6%
Space Separator 389
 
14.5%
Other Punctuation 82
 
3.1%
Close Punctuation 73
 
2.7%
Open Punctuation 73
 
2.7%
Uppercase Letter 23
 
0.9%
Dash Punctuation 13
 
0.5%
Lowercase Letter 3
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 93
 
5.9%
동 93
 
5.9%
로 82
 
5.2%
구 78
 
4.9%
시 75
 
4.7%
울 74
 
4.7%
특 73
 
4.6%
별 73
 
4.6%
가 50
 
3.2%
호 45
 
2.8%
Other values (182) 844
53.4%
Decimal Number
ValueCountFrequency (%)
1 104
23.3%
0 62
13.9%
2 57
12.8%
3 44
9.8%
6 40
 
8.9%
8 32
 
7.2%
4 32
 
7.2%
5 29
 
6.5%
7 26
 
5.8%
9 21
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
C 5
21.7%
B 3
13.0%
M 2
 
8.7%
D 2
 
8.7%
Y 2
 
8.7%
G 2
 
8.7%
I 2
 
8.7%
S 2
 
8.7%
H 2
 
8.7%
T 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
y 1
33.3%
t 1
33.3%
i 1
33.3%
Space Separator
ValueCountFrequency (%)
389
100.0%
Other Punctuation
ValueCountFrequency (%)
, 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1580
58.8%
Common 1079
40.2%
Latin 27
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 93
 
5.9%
동 93
 
5.9%
로 82
 
5.2%
구 78
 
4.9%
시 75
 
4.7%
울 74
 
4.7%
특 73
 
4.6%
별 73
 
4.6%
가 50
 
3.2%
호 45
 
2.8%
Other values (182) 844
53.4%
Common
ValueCountFrequency (%)
389
36.1%
1 104
 
9.6%
, 82
 
7.6%
) 73
 
6.8%
( 73
 
6.8%
0 62
 
5.7%
2 57
 
5.3%
3 44
 
4.1%
6 40
 
3.7%
8 32
 
3.0%
Other values (6) 123
 
11.4%
Latin
ValueCountFrequency (%)
C 5
18.5%
B 3
11.1%
M 2
 
7.4%
D 2
 
7.4%
Y 2
 
7.4%
G 2
 
7.4%
I 2
 
7.4%
S 2
 
7.4%
H 2
 
7.4%
y 1
 
3.7%
Other values (4) 4
14.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1580
58.8%
ASCII 1105
41.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
389
35.2%
1 104
 
9.4%
, 82
 
7.4%
) 73
 
6.6%
( 73
 
6.6%
0 62
 
5.6%
2 57
 
5.2%
3 44
 
4.0%
6 40
 
3.6%
8 32
 
2.9%
Other values (19) 149
 
13.5%
Hangul
ValueCountFrequency (%)
서 93
 
5.9%
동 93
 
5.9%
로 82
 
5.2%
구 78
 
4.9%
시 75
 
4.7%
울 74
 
4.7%
특 73
 
4.6%
별 73
 
4.6%
가 50
 
3.2%
호 45
 
2.8%
Other values (182) 844
53.4%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명우편번호
Text

Distinct70
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size716.0 B
2024-04-06T20:01:16.394235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.260274
Min length5

Characters and Unicode

Total characters384
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

Unique67 ?
Unique (%)91.8%

Sample

1st row132-904
2nd row138854
3rd row07071
4th row08506
5th row153789
ValueCountFrequency (%)
05836 2
 
2.7%
08507 2
 
2.7%
04795 2
 
2.7%
07345 1
 
1.4%
07255 1
 
1.4%
07645 1
 
1.4%
153771 1
 
1.4%
08591 1
 
1.4%
07282 1
 
1.4%
05546 1
 
1.4%
Other values (60) 60
82.2%
2024-04-06T20:01:17.080585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 76
19.8%
5 56
14.6%
8 41
10.7%
7 41
10.7%
1 41
10.7%
3 29
 
7.6%
9 28
 
7.3%
2 28
 
7.3%
6 21
 
5.5%
4 21
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 382
99.5%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 76
19.9%
5 56
14.7%
8 41
10.7%
7 41
10.7%
1 41
10.7%
3 29
 
7.6%
9 28
 
7.3%
2 28
 
7.3%
6 21
 
5.5%
4 21
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 76
19.8%
5 56
14.6%
8 41
10.7%
7 41
10.7%
1 41
10.7%
3 29
 
7.6%
9 28
 
7.3%
2 28
 
7.3%
6 21
 
5.5%
4 21
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 76
19.8%
5 56
14.6%
8 41
10.7%
7 41
10.7%
1 41
10.7%
3 29
 
7.6%
9 28
 
7.3%
2 28
 
7.3%
6 21
 
5.5%
4 21
 
5.5%

사업장명
Text

Distinct72
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size716.0 B
2024-04-06T20:01:17.486965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length14
Mean length10.876712
Min length3

Characters and Unicode

Total characters794
Distinct characters142
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)97.3%

Sample

1st row(주)한양테크엘리베이터
2nd row유원엘리베이터(주)
3rd row롯데알미늄(주)
4th row(주)유원이엠티
5th row미주이앤씨(주)
ValueCountFrequency (%)
주식회사 13
 
14.0%
유한회사 4
 
4.3%
한선엘리베이터 2
 
2.2%
주)욘넷츠코리아 1
 
1.1%
오티스엘리베이터 1
 
1.1%
주)신성노바파크 1
 
1.1%
신성엘리베이터(주 1
 
1.1%
주)우성아이디에스엘리베이터 1
 
1.1%
주)한성씨티엘리베이터 1
 
1.1%
주)태성에스컬레이터 1
 
1.1%
Other values (67) 67
72.0%
2024-04-06T20:01:18.049860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 66
 
8.3%
이 56
 
7.1%
) 53
 
6.7%
( 53
 
6.7%
리 50
 
6.3%
터 41
 
5.2%
베 40
 
5.0%
엘 39
 
4.9%
사 20
 
2.5%
20
 
2.5%
Other values (132) 356
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 643
81.0%
Close Punctuation 53
 
6.7%
Open Punctuation 53
 
6.7%
Space Separator 20
 
2.5%
Lowercase Letter 13
 
1.6%
Uppercase Letter 8
 
1.0%
Other Punctuation 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 66
 
10.3%
이 56
 
8.7%
리 50
 
7.8%
터 41
 
6.4%
베 40
 
6.2%
엘 39
 
6.1%
사 20
 
3.1%
회 17
 
2.6%
한 17
 
2.6%
스 17
 
2.6%
Other values (111) 280
43.5%
Lowercase Letter
ValueCountFrequency (%)
t 3
23.1%
o 2
15.4%
r 2
15.4%
e 2
15.4%
n 1
 
7.7%
d 1
 
7.7%
c 1
 
7.7%
i 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
L 1
12.5%
D 1
12.5%
U 1
12.5%
I 1
12.5%
T 1
12.5%
V 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 643
81.0%
Common 130
 
16.4%
Latin 21
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 66
 
10.3%
이 56
 
8.7%
리 50
 
7.8%
터 41
 
6.4%
베 40
 
6.2%
엘 39
 
6.1%
사 20
 
3.1%
회 17
 
2.6%
한 17
 
2.6%
스 17
 
2.6%
Other values (111) 280
43.5%
Latin
ValueCountFrequency (%)
t 3
14.3%
C 2
 
9.5%
o 2
 
9.5%
r 2
 
9.5%
e 2
 
9.5%
L 1
 
4.8%
n 1
 
4.8%
D 1
 
4.8%
U 1
 
4.8%
d 1
 
4.8%
Other values (5) 5
23.8%
Common
ValueCountFrequency (%)
) 53
40.8%
( 53
40.8%
20
 
15.4%
. 2
 
1.5%
, 1
 
0.8%
- 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 643
81.0%
ASCII 151
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 66
 
10.3%
이 56
 
8.7%
리 50
 
7.8%
터 41
 
6.4%
베 40
 
6.2%
엘 39
 
6.1%
사 20
 
3.1%
회 17
 
2.6%
한 17
 
2.6%
스 17
 
2.6%
Other values (111) 280
43.5%
ASCII
ValueCountFrequency (%)
) 53
35.1%
( 53
35.1%
20
 
13.2%
t 3
 
2.0%
C 2
 
1.3%
o 2
 
1.3%
r 2
 
1.3%
. 2
 
1.3%
e 2
 
1.3%
L 1
 
0.7%
Other values (11) 11
 
7.3%

최종수정일자
Date

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
Minimum2015-07-06 09:46:00
Maximum2024-03-18 10:52:18
2024-04-06T20:01:18.322678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:01:18.567421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
U
50 
I
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 50
68.5%
I 23
31.5%

Length

2024-04-06T20:01:18.827572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:19.020029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 50
68.5%
i 23
31.5%

데이터갱신일자
Categorical

Distinct19
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
2021-12-08 22:08:00.0
41 
2018-08-31 23:59:59.0
12 
2019-03-23 02:40:00.0
 
3
2022-11-01 00:09:00.0
 
2
2019-11-21 00:23:19.0
 
1
Other values (14)
14 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique15 ?
Unique (%)20.5%

Sample

1st row2022-12-03 00:01:00.0
2nd row2018-08-31 23:59:59.0
3rd row2019-03-23 02:40:00.0
4th row2019-03-23 02:40:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2021-12-08 22:08:00.0 41
56.2%
2018-08-31 23:59:59.0 12
 
16.4%
2019-03-23 02:40:00.0 3
 
4.1%
2022-11-01 00:09:00.0 2
 
2.7%
2019-11-21 00:23:19.0 1
 
1.4%
2021-12-06 00:02:00.0 1
 
1.4%
2021-11-01 23:08:00.0 1
 
1.4%
2022-10-30 22:06:00.0 1
 
1.4%
2023-12-01 23:07:00.0 1
 
1.4%
2022-01-07 00:22:51.0 1
 
1.4%
Other values (9) 9
 
12.3%

Length

2024-04-06T20:01:19.340530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-12-08 41
28.1%
22:08:00.0 41
28.1%
2018-08-31 12
 
8.2%
23:59:59.0 12
 
8.2%
2019-03-23 3
 
2.1%
02:40:00.0 3
 
2.1%
2022-11-01 3
 
2.1%
00:09:00.0 2
 
1.4%
2021-11-01 2
 
1.4%
2022-12-03 2
 
1.4%
Other values (25) 25
17.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)92.6%
Missing5
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean195107.94
Minimum183750.86
Maximum212721.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T20:01:19.743174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183750.86
5-th percentile186043.08
Q1189534.1
median191075.24
Q3202239.35
95-th percentile210669.96
Maximum212721.85
Range28970.987
Interquartile range (IQR)12705.253

Descriptive statistics

Standard deviation8036.842
Coefficient of variation (CV)0.041191773
Kurtosis-0.65494157
Mean195107.94
Median Absolute Deviation (MAD)3434.3123
Skewness0.78884624
Sum13267340
Variance64590830
MonotonicityNot monotonic
2024-04-06T20:01:20.068249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189538.020935968 3
 
4.1%
189472.091898625 2
 
2.7%
190364.652010662 2
 
2.7%
187831.720345753 2
 
2.7%
200597.940803088 1
 
1.4%
185931.619682845 1
 
1.4%
185894.50946257 1
 
1.4%
202880.352622758 1
 
1.4%
211077.334794202 1
 
1.4%
205013.206755565 1
 
1.4%
Other values (53) 53
72.6%
(Missing) 5
 
6.8%
ValueCountFrequency (%)
183750.864431049 1
1.4%
184805.681473385 1
1.4%
185894.50946257 1
1.4%
185931.619682845 1
1.4%
186250.073955984 1
1.4%
186634.157135749 1
1.4%
187619.596959162 1
1.4%
187636.232572465 1
1.4%
187645.622009373 1
1.4%
187831.720345753 2
2.7%
ValueCountFrequency (%)
212721.851392853 1
1.4%
212431.387866129 1
1.4%
211077.334794202 1
1.4%
210820.576958193 1
1.4%
210390.244592978 1
1.4%
210096.105038958 1
1.4%
209987.757527416 1
1.4%
206244.831623123 1
1.4%
205576.031422395 1
1.4%
205013.206755565 1
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)92.6%
Missing5
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean446627.18
Minimum440742.22
Maximum461483.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T20:01:20.696037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440742.22
5-th percentile441303.32
Q1442730.61
median446448.06
Q3449329.43
95-th percentile452382.32
Maximum461483.04
Range20740.818
Interquartile range (IQR)6598.8128

Descriptive statistics

Standard deviation4366.9741
Coefficient of variation (CV)0.009777672
Kurtosis1.468125
Mean446627.18
Median Absolute Deviation (MAD)3470.3754
Skewness1.0376011
Sum30370648
Variance19070463
MonotonicityNot monotonic
2024-04-06T20:01:20.973004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441982.427934953 3
 
4.1%
441483.675018356 2
 
2.7%
447158.946262059 2
 
2.7%
450994.213236731 2
 
2.7%
448069.782121815 1
 
1.4%
451668.023528774 1
 
1.4%
451570.248347401 1
 
1.4%
442776.692188896 1
 
1.4%
442449.471818862 1
 
1.4%
449538.234799943 1
 
1.4%
Other values (53) 53
72.6%
(Missing) 5
 
6.8%
ValueCountFrequency (%)
440742.223479611 1
 
1.4%
440870.092608694 1
 
1.4%
441127.322443807 1
 
1.4%
441206.211378107 1
 
1.4%
441483.675018356 2
2.7%
441654.010373182 1
 
1.4%
441982.427934953 3
4.1%
442174.424111843 1
 
1.4%
442309.174987731 1
 
1.4%
442337.458957919 1
 
1.4%
ValueCountFrequency (%)
461483.041003935 1
1.4%
458313.370671975 1
1.4%
458289.069882291 1
1.4%
452766.947714027 1
1.4%
451668.023528774 1
1.4%
451570.248347401 1
1.4%
451453.497370975 1
1.4%
451220.258478781 1
1.4%
450994.213236731 2
2.7%
450977.857003116 1
1.4%

업종구분명
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
54 
제조수입
19 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
74.0%
제조수입 19
 
26.0%

Length

2024-04-06T20:01:21.247293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:21.445193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
74.0%
제조수입 19
 
26.0%

관리업구분명
Text

MISSING 

Distinct11
Distinct (%)78.6%
Missing59
Missing (%)80.8%
Memory size716.0 B
2024-04-06T20:01:21.707486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length36
Mean length24.214286
Min length10

Characters and Unicode

Total characters339
Distinct characters24
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)64.3%

Sample

1st row엘리베이터조립제조업,
2nd row엘리베이터조립제조업,
3rd row엘리베이터조립제조업, 에스컬레이터조립제조업, 휠체어리프트조립제조업,
4th row엘리베이터수입업,
5th row에스컬레이터일반제조업,
ValueCountFrequency (%)
엘리베이터조립제조업 8
27.6%
엘리베이터수입업 6
20.7%
엘리베이터일반제조업 4
13.8%
에스컬레이터일반제조업 3
 
10.3%
에스컬레이터조립제조업 2
 
6.9%
휠체어리프트조립제조업 2
 
6.9%
에스컬레이터수입업 2
 
6.9%
휠체어리프트수입업 2
 
6.9%
2024-04-06T20:01:22.320543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
조 31
 
9.1%
업 29
 
8.6%
, 29
 
8.6%
29
 
8.6%
이 25
 
7.4%
터 25
 
7.4%
리 22
 
6.5%
제 19
 
5.6%
엘 18
 
5.3%
베 18
 
5.3%
Other values (14) 94
27.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
82.9%
Other Punctuation 29
 
8.6%
Space Separator 29
 
8.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 31
11.0%
업 29
10.3%
이 25
 
8.9%
터 25
 
8.9%
리 22
 
7.8%
제 19
 
6.8%
엘 18
 
6.4%
베 18
 
6.4%
립 12
 
4.3%
수 10
 
3.6%
Other values (12) 72
25.6%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
82.9%
Common 58
 
17.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 31
11.0%
업 29
10.3%
이 25
 
8.9%
터 25
 
8.9%
리 22
 
7.8%
제 19
 
6.8%
엘 18
 
6.4%
베 18
 
6.4%
립 12
 
4.3%
수 10
 
3.6%
Other values (12) 72
25.6%
Common
ValueCountFrequency (%)
, 29
50.0%
29
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
82.9%
ASCII 58
 
17.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
조 31
11.0%
업 29
10.3%
이 25
 
8.9%
터 25
 
8.9%
리 22
 
7.8%
제 19
 
6.8%
엘 18
 
6.4%
베 18
 
6.4%
립 12
 
4.3%
수 10
 
3.6%
Other values (12) 72
25.6%
ASCII
ValueCountFrequency (%)
, 29
50.0%
29
50.0%

자본금
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)42.1%
Missing54
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean2.8897283 × 1010
Minimum2 × 108
Maximum5.3254642 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T20:01:22.523680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2 × 108
5-th percentile2 × 108
Q12 × 108
median5 × 108
Q35 × 108
95-th percentile5.7924922 × 1010
Maximum5.3254642 × 1011
Range5.3234642 × 1011
Interquartile range (IQR)3 × 108

Descriptive statistics

Standard deviation1.2197235 × 1011
Coefficient of variation (CV)4.2208934
Kurtosis18.994027
Mean2.8897283 × 1010
Median Absolute Deviation (MAD)3 × 108
Skewness4.3579272
Sum5.4904837 × 1011
Variance1.4877254 × 1022
MonotonicityNot monotonic
2024-04-06T20:01:22.723243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
500000000 6
 
8.2%
200000000 6
 
8.2%
300000000 2
 
2.7%
5189200000 1
 
1.4%
1792749062 1
 
1.4%
532546420000 1
 
1.4%
400000000 1
 
1.4%
4320000000 1
 
1.4%
(Missing) 54
74.0%
ValueCountFrequency (%)
200000000 6
8.2%
300000000 2
 
2.7%
400000000 1
 
1.4%
500000000 6
8.2%
1792749062 1
 
1.4%
4320000000 1
 
1.4%
5189200000 1
 
1.4%
532546420000 1
 
1.4%
ValueCountFrequency (%)
532546420000 1
 
1.4%
5189200000 1
 
1.4%
4320000000 1
 
1.4%
1792749062 1
 
1.4%
500000000 6
8.2%
400000000 1
 
1.4%
300000000 2
 
2.7%
200000000 6
8.2%

자산
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

보수범위
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

유지관리책임인력수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

실무기술인력수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

설계책임기술인력수
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
58 
1
14 
2
 
1

Length

Max length4
Median length4
Mean length3.3835616
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 58
79.5%
1 14
 
19.2%
2 1
 
1.4%

Length

2024-04-06T20:01:22.928684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:23.123246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
79.5%
1 14
 
19.2%
2 1
 
1.4%

제조책임기술인력수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
66 
1
 
6
0
 
1

Length

Max length4
Median length4
Mean length3.7123288
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 66
90.4%
1 6
 
8.2%
0 1
 
1.4%

Length

2024-04-06T20:01:23.401483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:23.651470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
90.4%
1 6
 
8.2%
0 1
 
1.4%

임원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

총직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size716.0 B
<NA>
56 
2
9 
3
 
5
5
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.3013699
Min length1

Unique

Unique3 ?
Unique (%)4.1%

Sample

1st row<NA>
2nd row2
3rd row2
4th row3
5th row3

Common Values

ValueCountFrequency (%)
<NA> 56
76.7%
2 9
 
12.3%
3 5
 
6.8%
5 1
 
1.4%
4 1
 
1.4%
0 1
 
1.4%

Length

2024-04-06T20:01:23.845227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:01:24.052078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
76.7%
2 9
 
12.3%
3 5
 
6.8%
5 1
 
1.4%
4 1
 
1.4%
0 1
 
1.4%

기술직직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

기능직직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

사무직직원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

기타인원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

회사구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing73
Missing (%)100.0%
Memory size789.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명관리업구분명자본금자산보수범위유지관리책임인력수실무기술인력수설계책임기술인력수제조책임기술인력수임원수총직원수기술직직원수기능직직원수사무직직원수기타인원수회사구분명
061100006110000000162013-11-13<NA>1영업/정상1인허가<NA><NA><NA><NA>29399568<NA>132-904서울특별시 도봉구 창동 826번지 북한산한신휴플러스상가 103동 202호서울특별시 도봉구 도봉로136가길 73, 103동 202호 (창동,북한산한신휴플러스상가)132-904(주)한양테크엘리베이터2023-02-27 06:55:58U2022-12-03 00:01:00.0<NA>203712.976468461483.041004<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1611000061100000001820140424<NA>1영업/정상1인허가<NA><NA><NA><NA>24252859<NA>138854서울특별시 송파구 송파동 102번지 27호서울특별시 송파구 송이로 6 (송파동)138854유원엘리베이터(주)2018-02-02 12:10:59I2018-08-31 23:59:59.0<NA>210096.105039444643.367268제조수입엘리베이터조립제조업,300000000<NA><NA><NA><NA>1<NA><NA>2<NA><NA><NA><NA><NA>
2611000061100000001920140508<NA>1영업/정상1인허가<NA><NA><NA><NA>232700455<NA><NA>서울특별시 동작구 신대방동 395번지 67호 롯데타워서울특별시 동작구 보라매로5길 51, 9~11층 (신대방동,롯데타워)07071롯데알미늄(주)2019-01-15 10:47:36U2019-03-23 02:40:00.0<NA>193140.052318443178.674686제조수입<NA>5189200000<NA><NA><NA><NA>1<NA><NA>2<NA><NA><NA><NA><NA>
3611000061100000000920130904<NA>1영업/정상1인허가<NA><NA><NA><NA>226359220<NA><NA>서울특별시 금천구 가산동 371-17 BYCHIGHCITY 비동 1505-가호서울특별시 금천구 가산디지털1로 131, BYCHIGHCITY 비동 1505-가호 (가산동)08506(주)유원이엠티2019-01-07 09:55:04U2019-03-23 02:40:00.0<NA>189522.336722441654.010373제조수입<NA>300000000<NA><NA><NA><NA>11<NA>3<NA><NA><NA><NA><NA>
4611000061100000001220130912<NA>1영업/정상1인허가<NA><NA><NA><NA>266700333<NA>153789서울특별시 금천구 가산동 470번지 5호 에이스테크노타워10차 802호서울특별시 금천구 가산디지털1로 196, 802호 (가산동,에이스테크노타워10차)153789미주이앤씨(주)2015-07-06 09:46:00I2018-08-31 23:59:59.0<NA>189417.708596442309.174988제조수입<NA>500000000<NA><NA><NA><NA>11<NA>3<NA><NA><NA><NA><NA>
5611000061100000001420130521<NA>3폐업2폐지20150828<NA><NA><NA>226367000<NA>150037서울특별시 영등포구 영등포동7가 79번지 2호서울특별시 영등포구 국회대로50길 3 (영등포동7가)150037효성피엠앤엘리베이터(주)2015-07-06 09:46:37I2018-08-31 23:59:59.0<NA>191653.502532446980.524534제조수입엘리베이터조립제조업,200000000<NA><NA><NA><NA>1<NA><NA>2<NA><NA><NA><NA><NA>
6611000061100000004320180614<NA>3폐업2폐지20190228<NA><NA><NA>24065072<NA>05744서울특별시 송파구 거여동 174-4서울특별시 송파구 거마로 13, 대화빌딩 5층 (거여동)05744서린엘리베이터(주)2018-06-14 16:53:43I2018-08-31 23:59:59.0<NA>212721.851393443595.751963제조수입엘리베이터조립제조업, 에스컬레이터조립제조업, 휠체어리프트조립제조업,500000000<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA>
7611000061100000007020220531<NA>1영업/정상1인허가<NA><NA><NA><NA>29355383<NA>01852서울특별시 노원구 공릉동 379-13 0호서울특별시 노원구 동일로193가길 26, 동욱빌딩 3층(공릉동)01852주식회사 원신엘리베이터2022-05-31 19:07:54I2021-12-06 00:02:00.0<NA>206244.831623458313.370672<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8611000061100000007120210722<NA>5제외/삭제/전출7타시도 소재지변경에 의한 말소<NA><NA><NA><NA>319841561<NA><NA>서울특별시 도봉구 쌍문동 708-10 0호서울특별시 도봉구 도봉로137길 48, 0호(쌍문동)01391(주)나라엘리베이터안전관리2022-12-16 11:01:02U2021-11-01 23:08:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9611000061100000006420201023<NA>4취소/말소/만료/정지/중지5등록취소<NA><NA><NA><NA><NA><NA>06097서울특별시 강남구 삼성동 38-23 위즈빌딩2층서울특별시 강남구 봉은사로 429, 위즈빌딩 2층 (삼성동)06097트윙클2022-01-13 11:06:56I2021-12-08 22:08:00.0<NA>204070.238359445477.407575<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명관리업구분명자본금자산보수범위유지관리책임인력수실무기술인력수설계책임기술인력수제조책임기술인력수임원수총직원수기술직직원수기능직직원수사무직직원수기타인원수회사구분명
63611000061100000001020130917<NA>1영업/정상1인허가<NA><NA><NA><NA>226335258<NA>150103서울특별시 영등포구 양평동3가 46번지 이앤씨드림타워 1210호서울특별시 영등포구 선유로 146, 1210호 (양평동3가,이앤씨드림타워)150103한림승강기(주)2022-07-28 09:35:19U2021-12-08 22:08:00.0<NA>190364.652011447158.946262<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
64611000061100000000720130827<NA>1영업/정상1인허가<NA><NA><NA><NA>226317781<NA>152892서울특별시 구로구 오류동 31번지 250호 102호서울특별시 구로구 고척로18길 87, 102호 (오류동)152892한진엘리베이터(주)2019-10-15 15:13:47U2021-12-08 22:08:00.0<NA>186250.073956443923.872542<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
65611000061100000000520130826<NA>4취소/말소/만료/정지/중지5등록취소<NA><NA><NA><NA>220653596<NA>157804서울특별시 강서구 가양동 449번지 4호 한화비즈메트로1차 810호서울특별시 강서구 양천로 551-17, 810호 (가양동,한화비즈메트로1차)157804안전승강기(주)2020-11-23 17:34:44U2021-12-08 22:08:00.0<NA>187645.622009450792.69558<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
66611000061100000000320130823<NA>1영업/정상1인허가<NA><NA><NA><NA>28692088<NA>157793서울특별시 강서구 가양동 1487번지 가양테크노타운 1008호서울특별시 강서구 허준로 217, 1008호 (가양동,가양테크노타운)157793(주)금호엘리베이터2019-10-14 13:16:40U2021-12-08 22:08:00.0<NA>187831.720346450994.213237<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67611000061100000000420130823<NA>1영업/정상1인허가<NA><NA><NA><NA>234421117<NA>135830서울특별시 강남구 논현동 240번지 10호서울특별시 강남구 학동로 336 (논현동)135830(주)금영제너럴2019-10-16 10:09:11U2021-12-08 22:08:00.0<NA>203436.336721446020.722282<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
68611000061100000000220130823<NA>1영업/정상1인허가<NA><NA><NA><NA>226756187<NA>150805서울특별시 영등포구 당산동4가 32번지 150호서울특별시 영등포구 당산로38길 9-8 (당산동4가)150805동양엘리베이터(주)2021-10-27 10:13:14U2021-12-08 22:08:00.0<NA>191080.53624447459.75905<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
69611000061100000000120130823<NA>1영업/정상1인허가<NA><NA><NA><NA>226107777<NA><NA>서울특별시 마포구 상암동 1596번지 상암DMC푸르지오시티,S-City서울특별시 마포구 월드컵북로54길 25, 상암DMC푸르지오시티,S-City(상암동)03924티케이엘리베이터코리아(주)2022-05-03 11:37:33U2021-12-08 22:08:00.0<NA>188538.244361447476.275718<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
70611000061100000001520130802<NA>1영업/정상1인허가<NA><NA><NA><NA>260073360<NA>150945서울특별시 영등포구 여의도동 23번지 국제금융센터 투아이에프씨빌딩 여의도동서울특별시 영등포구 국제금융로 10, 여의도동 8층 (여의도동,국제금융센터투아이에프씨빌딩)150945오티스엘리베이터 유한회사2019-11-27 10:02:21U2021-12-08 22:08:00.0<NA>193326.931019446973.91457<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
71611000061100000001320130305<NA>1영업/정상1인허가<NA><NA><NA><NA>234531965<NA><NA>서울특별시 중구 신당동 372-426 0호서울특별시 중구 동호로7길 47-25, 0호(신당동)04596(주)욘넷츠코리아2022-06-09 18:58:16U2021-12-08 22:08:00.0<NA>200597.940803448069.782122<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7261100006110000000082013-08-28<NA>1영업/정상1인허가<NA><NA><NA><NA>226484141<NA>158-885서울특별시 양천구 신정동 319번지 20호 B01호서울특별시 양천구 목동서로 301-5, 지하1층 B01호 (신정동)158-885삼정엘리베이터(주)2024-03-18 10:52:18U2023-12-02 22:00:00.0<NA>188388.652748446446.200138<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>