Overview

Dataset statistics

Number of variables27
Number of observations10000
Missing cells86853
Missing cells (%)32.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory236.0 B

Variable types

Numeric4
DateTime4
Unsupported6
Categorical7
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),법인구분명,구분명
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16156/S/1/datasetView.do

Alerts

인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 5555 (55.5%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
전화번호 has 5961 (59.6%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 7839 (78.4%) missing valuesMissing
지번주소 has 179 (1.8%) missing valuesMissing
도로명주소 has 1388 (13.9%) missing valuesMissing
도로명우편번호 has 4817 (48.2%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(X) has 557 (5.6%) missing valuesMissing
좌표정보(Y) has 557 (5.6%) missing valuesMissing
관리번호 is highly skewed (γ1 = -63.04208783)Skewed
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 07:17:47.224167
Analysis finished2024-05-11 07:17:51.354366
Duration4.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3148495
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:17:51.544961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13090000
median3170000
Q33220000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)130000

Descriptive statistics

Standard deviation74405.501
Coefficient of variation (CV)0.023632085
Kurtosis-0.90190882
Mean3148495
Median Absolute Deviation (MAD)50000
Skewness-0.66104926
Sum3.148495 × 1010
Variance5.5361786 × 109
MonotonicityNot monotonic
2024-05-11T07:17:51.989606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 1682
16.8%
3180000 931
 
9.3%
3210000 801
 
8.0%
3160000 664
 
6.6%
3010000 455
 
4.5%
3240000 449
 
4.5%
3230000 413
 
4.1%
3150000 412
 
4.1%
3130000 393
 
3.9%
3200000 380
 
3.8%
Other values (15) 3420
34.2%
ValueCountFrequency (%)
3000000 357
3.6%
3010000 455
4.5%
3020000 183
1.8%
3030000 197
2.0%
3040000 317
3.2%
3050000 342
3.4%
3060000 220
2.2%
3070000 151
 
1.5%
3080000 220
2.2%
3090000 166
 
1.7%
ValueCountFrequency (%)
3240000 449
 
4.5%
3230000 413
 
4.1%
3220000 1682
16.8%
3210000 801
8.0%
3200000 380
 
3.8%
3190000 230
 
2.3%
3180000 931
9.3%
3170000 278
 
2.8%
3160000 664
 
6.6%
3150000 412
 
4.1%

관리번호
Real number (ℝ)

SKEWED  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0098182 × 1018
Minimum2.0000811 × 1014
Maximum2.024324 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:17:52.472382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0000811 × 1014
5-th percentile1.999318 × 1018
Q12.0043 × 1018
median2.009315 × 1018
Q32.017318 × 1018
95-th percentile2.023301 × 1018
Maximum2.024324 × 1018
Range2.024124 × 1018
Interquartile range (IQR)1.3018012 × 1016

Descriptive statistics

Standard deviation2.953161 × 1016
Coefficient of variation (CV)0.014693672
Kurtosis4288.8157
Mean2.0098182 × 1018
Median Absolute Deviation (MAD)6.0070054 × 1015
Skewness-63.042088
Sum-8.7686571 × 1018
Variance8.72116 × 1032
MonotonicityNot monotonic
2024-05-11T07:17:52.952273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2003321007311500008 1
 
< 0.1%
2008318012114500007 1
 
< 0.1%
2012307018814500001 1
 
< 0.1%
2010300015914500013 1
 
< 0.1%
2014310018414500012 1
 
< 0.1%
2014307021614500003 1
 
< 0.1%
2007321011411500017 1
 
< 0.1%
2005303007411500016 1
 
< 0.1%
2016321015514500009 1
 
< 0.1%
2016313020114500002 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
200008111500001 1
< 0.1%
200308211500001 1
< 0.1%
1969301007111500001 1
< 0.1%
1971301007111500001 1
< 0.1%
1971301007111500003 1
< 0.1%
1971301007111500004 1
< 0.1%
1971301007111500005 1
< 0.1%
1971301007111500006 1
< 0.1%
1971301007111500007 1
< 0.1%
1971301007111500008 1
< 0.1%
ValueCountFrequency (%)
2024324028914500005 1
< 0.1%
2024324028914500004 1
< 0.1%
2024324028914500003 1
< 0.1%
2024324028914500001 1
< 0.1%
2024323029114500007 1
< 0.1%
2024323029114500006 1
< 0.1%
2024323029114500005 1
< 0.1%
2024323029114500004 1
< 0.1%
2024323029114500003 1
< 0.1%
2024323029114500002 1
< 0.1%

인허가일자
Date

Distinct4994
Distinct (%)49.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1900-01-01 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T07:17:53.403253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:17:53.874300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
6829 
1
2483 
5
 
445
4
 
243

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row5
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 6829
68.3%
1 2483
 
24.8%
5 445
 
4.5%
4 243
 
2.4%

Length

2024-05-11T07:17:54.312364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:17:54.741034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 6829
68.3%
1 2483
 
24.8%
5 445
 
4.5%
4 243
 
2.4%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6829 
영업/정상
2483 
제외/삭제/전출
 
445
취소/말소/만료/정지/중지
 
243

Length

Max length14
Median length2
Mean length3.3035
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row제외/삭제/전출
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 6829
68.3%
영업/정상 2483
 
24.8%
제외/삭제/전출 445
 
4.5%
취소/말소/만료/정지/중지 243
 
2.4%

Length

2024-05-11T07:17:55.437388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:17:55.953846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6829
68.3%
영업/정상 2483
 
24.8%
제외/삭제/전출 445
 
4.5%
취소/말소/만료/정지/중지 243
 
2.4%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
40
6829 
20
2481 
50
 
445
70
 
243
10
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40
2nd row40
3rd row50
4th row40
5th row40

Common Values

ValueCountFrequency (%)
40 6829
68.3%
20 2481
 
24.8%
50 445
 
4.5%
70 243
 
2.4%
10 2
 
< 0.1%

Length

2024-05-11T07:17:56.439193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:17:57.103020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 6829
68.3%
20 2481
 
24.8%
50 445
 
4.5%
70 243
 
2.4%
10 2
 
< 0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6829 
영업중
2481 
타시군구이관
 
445
등록취소
 
243
<NA>
 
2

Length

Max length6
Median length2
Mean length2.4751
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6829
68.3%
영업중 2481
 
24.8%
타시군구이관 445
 
4.5%
등록취소 243
 
2.4%
<NA> 2
 
< 0.1%

Length

2024-05-11T07:17:58.017079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:17:58.893641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6829
68.3%
영업중 2481
 
24.8%
타시군구이관 445
 
4.5%
등록취소 243
 
2.4%
na 2
 
< 0.1%

폐업일자
Date

MISSING 

Distinct2750
Distinct (%)61.9%
Missing5555
Missing (%)55.5%
Memory size156.2 KiB
Minimum1991-01-18 00:00:00
Maximum2024-05-17 00:00:00
2024-05-11T07:17:59.376691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:18:00.154877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전화번호
Text

MISSING 

Distinct3791
Distinct (%)93.9%
Missing5961
Missing (%)59.6%
Memory size156.2 KiB
2024-05-11T07:18:01.363113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.151027
Min length3

Characters and Unicode

Total characters45039
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

Unique3569 ?
Unique (%)88.4%

Sample

1st row02 864 7688
2nd row02 16614938
3rd row02 20383232
4th row02 69527084
5th row02 989 2100
ValueCountFrequency (%)
02 2638
31.0%
070 97
 
1.1%
556 21
 
0.2%
031 19
 
0.2%
515 19
 
0.2%
511 18
 
0.2%
555 17
 
0.2%
1919 16
 
0.2%
545 16
 
0.2%
866 15
 
0.2%
Other values (3936) 5621
66.2%
2024-05-11T07:18:02.729119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7764
17.2%
7088
15.7%
2 6726
14.9%
5 3555
7.9%
3 3018
 
6.7%
4 2953
 
6.6%
1 2944
 
6.5%
8 2920
 
6.5%
7 2849
 
6.3%
6 2795
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37951
84.3%
Space Separator 7088
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7764
20.5%
2 6726
17.7%
5 3555
9.4%
3 3018
 
8.0%
4 2953
 
7.8%
1 2944
 
7.8%
8 2920
 
7.7%
7 2849
 
7.5%
6 2795
 
7.4%
9 2427
 
6.4%
Space Separator
ValueCountFrequency (%)
7088
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45039
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7764
17.2%
7088
15.7%
2 6726
14.9%
5 3555
7.9%
3 3018
 
6.7%
4 2953
 
6.6%
1 2944
 
6.5%
8 2920
 
6.5%
7 2849
 
6.3%
6 2795
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45039
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7764
17.2%
7088
15.7%
2 6726
14.9%
5 3555
7.9%
3 3018
 
6.7%
4 2953
 
6.6%
1 2944
 
6.5%
8 2920
 
6.5%
7 2849
 
6.3%
6 2795
 
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지우편번호
Text

MISSING 

Distinct955
Distinct (%)44.2%
Missing7839
Missing (%)78.4%
Memory size156.2 KiB
2024-05-11T07:18:03.633185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.9875058
Min length3

Characters and Unicode

Total characters12939
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique551 ?
Unique (%)25.5%

Sample

1st row150815
2nd row150010
3rd row139202
4th row110814
5th row000
ValueCountFrequency (%)
000 152
 
7.0%
135081 31
 
1.4%
152800 26
 
1.2%
135080 17
 
0.8%
135010 16
 
0.7%
150043 15
 
0.7%
153801 14
 
0.6%
150010 14
 
0.6%
137856 13
 
0.6%
137030 12
 
0.6%
Other values (944) 1851
85.7%
2024-05-11T07:18:05.129808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2936
22.7%
0 2262
17.5%
5 1495
11.6%
3 1420
11.0%
8 1414
10.9%
2 911
 
7.0%
7 630
 
4.9%
4 571
 
4.4%
9 490
 
3.8%
420
 
3.2%
Other values (2) 390
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12510
96.7%
Space Separator 420
 
3.2%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2936
23.5%
0 2262
18.1%
5 1495
12.0%
3 1420
11.4%
8 1414
11.3%
2 911
 
7.3%
7 630
 
5.0%
4 571
 
4.6%
9 490
 
3.9%
6 381
 
3.0%
Space Separator
ValueCountFrequency (%)
420
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12939
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2936
22.7%
0 2262
17.5%
5 1495
11.6%
3 1420
11.0%
8 1414
10.9%
2 911
 
7.0%
7 630
 
4.9%
4 571
 
4.4%
9 490
 
3.8%
420
 
3.2%
Other values (2) 390
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12939
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2936
22.7%
0 2262
17.5%
5 1495
11.6%
3 1420
11.0%
8 1414
10.9%
2 911
 
7.0%
7 630
 
4.9%
4 571
 
4.4%
9 490
 
3.8%
420
 
3.2%
Other values (2) 390
 
3.0%

지번주소
Text

MISSING 

Distinct9255
Distinct (%)94.2%
Missing179
Missing (%)1.8%
Memory size156.2 KiB
2024-05-11T07:18:06.038999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length46
Mean length30.687201
Min length8

Characters and Unicode

Total characters301379
Distinct characters605
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

Unique8787 ?
Unique (%)89.5%

Sample

1st row경기도 수원시권선구 구운동 960번지 7호 2통 1반 서원홈타운 A 402
2nd row서울특별시 영등포구 대림3동 740번지 11호 2층
3rd row서울특별시 강동구 길동 389-9 광남캐스빌
4th row서울특별시 강동구 천호동 297-2
5th row서울특별시 영등포구 대림동 746번지 15호 7통 2반
ValueCountFrequency (%)
서울특별시 8625
 
13.3%
강남구 1202
 
1.9%
1호 838
 
1.3%
경기도 825
 
1.3%
영등포구 776
 
1.2%
서초구 634
 
1.0%
구로구 503
 
0.8%
송파구 456
 
0.7%
2반 449
 
0.7%
3반 434
 
0.7%
Other values (9067) 49905
77.2%
2024-05-11T07:18:07.425227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59087
 
19.6%
1 14983
 
5.0%
동 11295
 
3.7%
서 10502
 
3.5%
구 10293
 
3.4%
시 9961
 
3.3%
호 9833
 
3.3%
2 9804
 
3.3%
울 8679
 
2.9%
별 8655
 
2.9%
Other values (595) 148287
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169537
56.3%
Decimal Number 69968
23.2%
Space Separator 59087
 
19.6%
Dash Punctuation 1701
 
0.6%
Uppercase Letter 631
 
0.2%
Lowercase Letter 126
 
< 0.1%
Open Punctuation 109
 
< 0.1%
Close Punctuation 109
 
< 0.1%
Other Punctuation 85
 
< 0.1%
Letter Number 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11295
 
6.7%
서 10502
 
6.2%
구 10293
 
6.1%
시 9961
 
5.9%
호 9833
 
5.8%
울 8679
 
5.1%
별 8655
 
5.1%
특 8627
 
5.1%
지 7230
 
4.3%
번 6778
 
4.0%
Other values (528) 77684
45.8%
Uppercase Letter
ValueCountFrequency (%)
B 135
21.4%
A 100
15.8%
C 40
 
6.3%
K 37
 
5.9%
S 34
 
5.4%
E 32
 
5.1%
T 30
 
4.8%
L 27
 
4.3%
R 24
 
3.8%
G 24
 
3.8%
Other values (14) 148
23.5%
Lowercase Letter
ValueCountFrequency (%)
e 28
22.2%
i 15
11.9%
n 12
9.5%
r 11
 
8.7%
s 10
 
7.9%
t 7
 
5.6%
a 7
 
5.6%
b 6
 
4.8%
o 6
 
4.8%
k 5
 
4.0%
Other values (8) 19
15.1%
Decimal Number
ValueCountFrequency (%)
1 14983
21.4%
2 9804
14.0%
0 8390
12.0%
3 7914
11.3%
4 6498
9.3%
5 5648
 
8.1%
6 4701
 
6.7%
7 4449
 
6.4%
8 4028
 
5.8%
9 3553
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 53
62.4%
. 18
 
21.2%
@ 6
 
7.1%
/ 5
 
5.9%
' 2
 
2.4%
? 1
 
1.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 14
63.6%
Ⅲ 6
27.3%
Ⅴ 1
 
4.5%
Ⅳ 1
 
4.5%
Space Separator
ValueCountFrequency (%)
59087
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1701
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 109
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169537
56.3%
Common 131063
43.5%
Latin 779
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11295
 
6.7%
서 10502
 
6.2%
구 10293
 
6.1%
시 9961
 
5.9%
호 9833
 
5.8%
울 8679
 
5.1%
별 8655
 
5.1%
특 8627
 
5.1%
지 7230
 
4.3%
번 6778
 
4.0%
Other values (528) 77684
45.8%
Latin
ValueCountFrequency (%)
B 135
17.3%
A 100
 
12.8%
C 40
 
5.1%
K 37
 
4.7%
S 34
 
4.4%
E 32
 
4.1%
T 30
 
3.9%
e 28
 
3.6%
L 27
 
3.5%
R 24
 
3.1%
Other values (36) 292
37.5%
Common
ValueCountFrequency (%)
59087
45.1%
1 14983
 
11.4%
2 9804
 
7.5%
0 8390
 
6.4%
3 7914
 
6.0%
4 6498
 
5.0%
5 5648
 
4.3%
6 4701
 
3.6%
7 4449
 
3.4%
8 4028
 
3.1%
Other values (11) 5561
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169537
56.3%
ASCII 131820
43.7%
Number Forms 22
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59087
44.8%
1 14983
 
11.4%
2 9804
 
7.4%
0 8390
 
6.4%
3 7914
 
6.0%
4 6498
 
4.9%
5 5648
 
4.3%
6 4701
 
3.6%
7 4449
 
3.4%
8 4028
 
3.1%
Other values (53) 6318
 
4.8%
Hangul
ValueCountFrequency (%)
동 11295
 
6.7%
서 10502
 
6.2%
구 10293
 
6.1%
시 9961
 
5.9%
호 9833
 
5.8%
울 8679
 
5.1%
별 8655
 
5.1%
특 8627
 
5.1%
지 7230
 
4.3%
번 6778
 
4.0%
Other values (528) 77684
45.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 14
63.6%
Ⅲ 6
27.3%
Ⅴ 1
 
4.5%
Ⅳ 1
 
4.5%

도로명주소
Text

MISSING 

Distinct8194
Distinct (%)95.1%
Missing1388
Missing (%)13.9%
Memory size156.2 KiB
2024-05-11T07:18:08.241949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length51
Mean length33.792034
Min length16

Characters and Unicode

Total characters291017
Distinct characters630
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

Unique7829 ?
Unique (%)90.9%

Sample

1st row서울특별시 영등포구 대림로35가길 3 (대림동,2층)
2nd row서울특별시 강동구 천중로44길 75, 2층 204호 (길동, 광남캐스빌)
3rd row서울특별시 강동구 구천면로 279, 3층 302호 (천호동)
4th row서울특별시 영등포구 도림로47나길 19 (대림동)
5th row서울특별시 중랑구 봉화산로3길 131, 중랑제일교회 2층 (묵동)
ValueCountFrequency (%)
서울특별시 8016
 
14.6%
강남구 1173
 
2.1%
영등포구 752
 
1.4%
서초구 621
 
1.1%
2층 599
 
1.1%
3층 535
 
1.0%
구로구 506
 
0.9%
경기도 414
 
0.8%
송파구 414
 
0.8%
강서구 393
 
0.7%
Other values (10148) 41326
75.5%
2024-05-11T07:18:10.051727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46170
 
15.9%
동 11437
 
3.9%
1 10967
 
3.8%
서 10173
 
3.5%
로 9843
 
3.4%
구 9597
 
3.3%
, 9210
 
3.2%
시 8965
 
3.1%
) 8601
 
3.0%
( 8600
 
3.0%
Other values (620) 157454
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 165080
56.7%
Decimal Number 50788
 
17.5%
Space Separator 46170
 
15.9%
Other Punctuation 9235
 
3.2%
Close Punctuation 8601
 
3.0%
Open Punctuation 8600
 
3.0%
Dash Punctuation 1634
 
0.6%
Uppercase Letter 725
 
0.2%
Lowercase Letter 148
 
0.1%
Letter Number 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11437
 
6.9%
서 10173
 
6.2%
로 9843
 
6.0%
구 9597
 
5.8%
시 8965
 
5.4%
울 8083
 
4.9%
별 8032
 
4.9%
특 8018
 
4.9%
호 5161
 
3.1%
길 4279
 
2.6%
Other values (552) 81492
49.4%
Uppercase Letter
ValueCountFrequency (%)
B 175
24.1%
A 103
14.2%
C 47
 
6.5%
K 38
 
5.2%
S 38
 
5.2%
E 38
 
5.2%
T 32
 
4.4%
R 32
 
4.4%
L 24
 
3.3%
I 24
 
3.3%
Other values (14) 174
24.0%
Lowercase Letter
ValueCountFrequency (%)
e 35
23.6%
n 16
10.8%
i 16
10.8%
r 14
 
9.5%
t 10
 
6.8%
s 10
 
6.8%
o 8
 
5.4%
a 8
 
5.4%
c 7
 
4.7%
b 6
 
4.1%
Other values (10) 18
12.2%
Decimal Number
ValueCountFrequency (%)
1 10967
21.6%
2 7805
15.4%
0 6532
12.9%
3 6399
12.6%
4 4559
9.0%
5 3910
 
7.7%
6 3155
 
6.2%
7 2780
 
5.5%
8 2458
 
4.8%
9 2223
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 9210
99.7%
. 14
 
0.2%
/ 5
 
0.1%
? 4
 
< 0.1%
' 2
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 15
65.2%
Ⅲ 6
 
26.1%
Ⅴ 1
 
4.3%
Ⅳ 1
 
4.3%
Space Separator
ValueCountFrequency (%)
46170
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8601
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8600
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1634
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 165080
56.7%
Common 125041
43.0%
Latin 896
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11437
 
6.9%
서 10173
 
6.2%
로 9843
 
6.0%
구 9597
 
5.8%
시 8965
 
5.4%
울 8083
 
4.9%
별 8032
 
4.9%
특 8018
 
4.9%
호 5161
 
3.1%
길 4279
 
2.6%
Other values (552) 81492
49.4%
Latin
ValueCountFrequency (%)
B 175
19.5%
A 103
 
11.5%
C 47
 
5.2%
K 38
 
4.2%
S 38
 
4.2%
E 38
 
4.2%
e 35
 
3.9%
T 32
 
3.6%
R 32
 
3.6%
L 24
 
2.7%
Other values (38) 334
37.3%
Common
ValueCountFrequency (%)
46170
36.9%
1 10967
 
8.8%
, 9210
 
7.4%
) 8601
 
6.9%
( 8600
 
6.9%
2 7805
 
6.2%
0 6532
 
5.2%
3 6399
 
5.1%
4 4559
 
3.6%
5 3910
 
3.1%
Other values (10) 12288
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 165080
56.7%
ASCII 125914
43.3%
Number Forms 23
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46170
36.7%
1 10967
 
8.7%
, 9210
 
7.3%
) 8601
 
6.8%
( 8600
 
6.8%
2 7805
 
6.2%
0 6532
 
5.2%
3 6399
 
5.1%
4 4559
 
3.6%
5 3910
 
3.1%
Other values (54) 13161
 
10.5%
Hangul
ValueCountFrequency (%)
동 11437
 
6.9%
서 10173
 
6.2%
로 9843
 
6.0%
구 9597
 
5.8%
시 8965
 
5.4%
울 8083
 
4.9%
별 8032
 
4.9%
특 8018
 
4.9%
호 5161
 
3.1%
길 4279
 
2.6%
Other values (552) 81492
49.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 15
65.2%
Ⅲ 6
 
26.1%
Ⅴ 1
 
4.3%
Ⅳ 1
 
4.3%

도로명우편번호
Text

MISSING 

Distinct2475
Distinct (%)47.8%
Missing4817
Missing (%)48.2%
Memory size156.2 KiB
2024-05-11T07:18:11.056744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3191202
Min length5

Characters and Unicode

Total characters27569
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

Unique1468 ?
Unique (%)28.3%

Sample

1st row05353
2nd row05320
3rd row02011
4th row07239
5th row06129
ValueCountFrequency (%)
07415 41
 
0.8%
06151 35
 
0.7%
06211 27
 
0.5%
07333 26
 
0.5%
152800 22
 
0.4%
08320 19
 
0.4%
07802 18
 
0.3%
06132 18
 
0.3%
07788 18
 
0.3%
153801 16
 
0.3%
Other values (2465) 4943
95.4%
2024-05-11T07:18:12.570654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5730
20.8%
1 3875
14.1%
5 2736
9.9%
3 2697
9.8%
8 2573
9.3%
6 2341
8.5%
2 2207
 
8.0%
7 2186
 
7.9%
4 1866
 
6.8%
9 1202
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27413
99.4%
Dash Punctuation 156
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5730
20.9%
1 3875
14.1%
5 2736
10.0%
3 2697
9.8%
8 2573
9.4%
6 2341
8.5%
2 2207
 
8.1%
7 2186
 
8.0%
4 1866
 
6.8%
9 1202
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27569
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5730
20.8%
1 3875
14.1%
5 2736
9.9%
3 2697
9.8%
8 2573
9.3%
6 2341
8.5%
2 2207
 
8.0%
7 2186
 
7.9%
4 1866
 
6.8%
9 1202
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27569
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5730
20.8%
1 3875
14.1%
5 2736
9.9%
3 2697
9.8%
8 2573
9.3%
6 2341
8.5%
2 2207
 
8.0%
7 2186
 
7.9%
4 1866
 
6.8%
9 1202
 
4.4%

사업장명
Text

Distinct7995
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T07:18:13.502967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length32
Mean length7.4496
Min length1

Characters and Unicode

Total characters74496
Distinct characters783
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6908 ?
Unique (%)69.1%

Sample

1st row통인케어직업소개소
2nd row메이소CJ취업정보
3rd row에스에이치파트너스
4th row성호건설인력
5th row만점사랑
ValueCountFrequency (%)
주식회사 408
 
3.5%
직업소개소 347
 
3.0%
세화파출박사 35
 
0.3%
인력 29
 
0.2%
컨설팅 24
 
0.2%
우리직업소개소 23
 
0.2%
코리아 23
 
0.2%
제일직업소개소 21
 
0.2%
현대직업소개소 21
 
0.2%
동양인력 20
 
0.2%
Other values (8107) 10692
91.8%
2024-05-11T07:18:14.857368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 5331
 
7.2%
업 3214
 
4.3%
개 3140
 
4.2%
인 2825
 
3.8%
직 2576
 
3.5%
주 2445
 
3.3%
력 2148
 
2.9%
) 2115
 
2.8%
( 2110
 
2.8%
1644
 
2.2%
Other values (773) 46948
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66428
89.2%
Close Punctuation 2115
 
2.8%
Open Punctuation 2110
 
2.8%
Space Separator 1644
 
2.2%
Uppercase Letter 1137
 
1.5%
Lowercase Letter 571
 
0.8%
Decimal Number 313
 
0.4%
Other Punctuation 132
 
0.2%
Dash Punctuation 35
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 5331
 
8.0%
업 3214
 
4.8%
개 3140
 
4.7%
인 2825
 
4.3%
직 2576
 
3.9%
주 2445
 
3.7%
력 2148
 
3.2%
이 1528
 
2.3%
스 1366
 
2.1%
사 1150
 
1.7%
Other values (698) 40705
61.3%
Uppercase Letter
ValueCountFrequency (%)
S 90
 
7.9%
O 89
 
7.8%
C 85
 
7.5%
H 77
 
6.8%
K 76
 
6.7%
R 74
 
6.5%
I 66
 
5.8%
A 64
 
5.6%
E 64
 
5.6%
J 58
 
5.1%
Other values (16) 394
34.7%
Lowercase Letter
ValueCountFrequency (%)
e 70
12.3%
o 56
 
9.8%
n 53
 
9.3%
a 51
 
8.9%
r 50
 
8.8%
i 36
 
6.3%
t 32
 
5.6%
l 25
 
4.4%
h 24
 
4.2%
s 24
 
4.2%
Other values (14) 150
26.3%
Decimal Number
ValueCountFrequency (%)
1 89
28.4%
2 74
23.6%
8 34
 
10.9%
4 33
 
10.5%
5 20
 
6.4%
3 17
 
5.4%
6 15
 
4.8%
9 14
 
4.5%
0 13
 
4.2%
7 4
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 58
43.9%
& 41
31.1%
/ 11
 
8.3%
, 10
 
7.6%
? 7
 
5.3%
# 2
 
1.5%
＆ 1
 
0.8%
？ 1
 
0.8%
: 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 2115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2110
100.0%
Space Separator
ValueCountFrequency (%)
1644
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Math Symbol
ValueCountFrequency (%)
+ 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66425
89.2%
Common 6358
 
8.5%
Latin 1708
 
2.3%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 5331
 
8.0%
업 3214
 
4.8%
개 3140
 
4.7%
인 2825
 
4.3%
직 2576
 
3.9%
주 2445
 
3.7%
력 2148
 
3.2%
이 1528
 
2.3%
스 1366
 
2.1%
사 1150
 
1.7%
Other values (696) 40702
61.3%
Latin
ValueCountFrequency (%)
S 90
 
5.3%
O 89
 
5.2%
C 85
 
5.0%
H 77
 
4.5%
K 76
 
4.4%
R 74
 
4.3%
e 70
 
4.1%
I 66
 
3.9%
A 64
 
3.7%
E 64
 
3.7%
Other values (40) 953
55.8%
Common
ValueCountFrequency (%)
) 2115
33.3%
( 2110
33.2%
1644
25.9%
1 89
 
1.4%
2 74
 
1.2%
. 58
 
0.9%
& 41
 
0.6%
- 35
 
0.6%
8 34
 
0.5%
4 33
 
0.5%
Other values (14) 125
 
2.0%
Han
ValueCountFrequency (%)
株 2
40.0%
人 2
40.0%
愛 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66422
89.2%
ASCII 8064
 
10.8%
CJK 5
 
< 0.1%
None 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 5331
 
8.0%
업 3214
 
4.8%
개 3140
 
4.7%
인 2825
 
4.3%
직 2576
 
3.9%
주 2445
 
3.7%
력 2148
 
3.2%
이 1528
 
2.3%
스 1366
 
2.1%
사 1150
 
1.7%
Other values (694) 40699
61.3%
ASCII
ValueCountFrequency (%)
) 2115
26.2%
( 2110
26.2%
1644
20.4%
S 90
 
1.1%
1 89
 
1.1%
O 89
 
1.1%
C 85
 
1.1%
H 77
 
1.0%
K 76
 
0.9%
2 74
 
0.9%
Other values (62) 1615
20.0%
None
ValueCountFrequency (%)
㈜ 2
50.0%
＆ 1
25.0%
？ 1
25.0%
CJK
ValueCountFrequency (%)
株 2
40.0%
人 2
40.0%
愛 1
20.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

최종수정일자
Date

Distinct9999
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2002-11-14 14:33:58
Maximum2024-05-09 18:04:46
2024-05-11T07:18:15.631299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:18:16.241536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
6402 
U
3598 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 6402
64.0%
U 3598
36.0%

Length

2024-05-11T07:18:16.810003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:18:17.217927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 6402
64.0%
u 3598
36.0%

데이터갱신일자
Date

Distinct1177
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T07:18:17.614968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:18:18.242954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct7004
Distinct (%)74.2%
Missing557
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean200264.87
Minimum113095.08
Maximum542882.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:18:18.838962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum113095.08
5-th percentile185883.86
Q1191908.63
median200886.33
Q3204866.81
95-th percentile211966.76
Maximum542882.72
Range429787.65
Interquartile range (IQR)12958.178

Descriptive statistics

Standard deviation16811.909
Coefficient of variation (CV)0.08394837
Kurtosis87.778078
Mean200264.87
Median Absolute Deviation (MAD)6501.9751
Skewness7.6244649
Sum1.8911012 × 109
Variance2.826403 × 108
MonotonicityNot monotonic
2024-05-11T07:18:19.494455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203931.098064589 20
 
0.2%
204325.143969001 18
 
0.2%
203894.031407652 18
 
0.2%
211542.314116941 17
 
0.2%
204044.789948927 16
 
0.2%
204091.578937267 15
 
0.1%
204103.04193011 14
 
0.1%
195703.425296812 14
 
0.1%
202122.980021099 12
 
0.1%
191226.287379467 12
 
0.1%
Other values (6994) 9287
92.9%
(Missing) 557
 
5.6%
ValueCountFrequency (%)
113095.075273 1
< 0.1%
121236.817949 1
< 0.1%
135433.173122 1
< 0.1%
144107.998188 1
< 0.1%
144314.133562 1
< 0.1%
145326.276027 1
< 0.1%
147837.687659 1
< 0.1%
150817.625484 1
< 0.1%
159530.70697544 1
< 0.1%
162211.611232 1
< 0.1%
ValueCountFrequency (%)
542882.722261863 1
< 0.1%
420970.675889682 1
< 0.1%
418262.589782463 1
< 0.1%
416626.678634859 1
< 0.1%
411386.370103641 1
< 0.1%
406221.945183213 1
< 0.1%
405435.938832337 1
< 0.1%
405320.296226669 1
< 0.1%
396940.652567362 1
< 0.1%
394891.32499487 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct7005
Distinct (%)74.2%
Missing557
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean444520.47
Minimum89930.455
Maximum509764.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:18:20.128732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89930.455
5-th percentile438276.23
Q1443442.06
median446477.68
Q3451267.6
95-th percentile460117.1
Maximum509764.14
Range419833.69
Interquartile range (IQR)7825.5442

Descriptive statistics

Standard deviation27073.908
Coefficient of variation (CV)0.060905875
Kurtosis70.191015
Mean444520.47
Median Absolute Deviation (MAD)3673.9799
Skewness-7.9052544
Sum4.1976068 × 109
Variance7.329965 × 108
MonotonicityNot monotonic
2024-05-11T07:18:20.751774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444622.849264371 20
 
0.2%
444689.095230482 18
 
0.2%
444624.818170279 18
 
0.2%
448273.114107211 17
 
0.2%
444529.84042741 16
 
0.2%
444708.182570037 15
 
0.1%
444558.775468448 14
 
0.1%
449330.800717721 14
 
0.1%
444254.241685558 12
 
0.1%
437914.06299827 12
 
0.1%
Other values (6995) 9287
92.9%
(Missing) 557
 
5.6%
ValueCountFrequency (%)
89930.4549583 1
< 0.1%
102102.19713 1
< 0.1%
103418.808817 1
< 0.1%
136248.133306 1
< 0.1%
137816.907209 1
< 0.1%
139015.562947 1
< 0.1%
139935.631323 1
< 0.1%
143692.420979 1
< 0.1%
144083.567347 1
< 0.1%
144166.099081 1
< 0.1%
ValueCountFrequency (%)
509764.142990641 1
< 0.1%
500476.449949497 1
< 0.1%
496723.021492734 1
< 0.1%
492903.561575535 1
< 0.1%
486074.183143946 1
< 0.1%
484178.717163437 2
< 0.1%
483786.678139003 1
< 0.1%
483263.886828912 1
< 0.1%
483129.096440038 1
< 0.1%
481239.650407762 2
< 0.1%

법인구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
개인
5641 
<NA>
2874 
법인
1485 

Length

Max length4
Median length2
Mean length2.5748
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 5641
56.4%
<NA> 2874
28.7%
법인 1485
 
14.8%

Length

2024-05-11T07:18:21.307356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:18:21.764508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 5641
56.4%
na 2874
28.7%
법인 1485
 
14.8%

구분명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
유료
7126 
<NA>
2874 

Length

Max length4
Median length2
Mean length2.5748
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 7126
71.3%
<NA> 2874
28.7%

Length

2024-05-11T07:18:22.287518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:18:22.754473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 7126
71.3%
na 2874
28.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
83833210000200332100731150000820030305<NA>3폐업40폐업20140331<NA><NA><NA><NA><NA><NA>경기도 수원시권선구 구운동 960번지 7호 2통 1반 서원홈타운 A 402<NA><NA>통인케어직업소개소2014-03-31 10:55:35I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
70143180000200931801201450000820080129<NA>3폐업40폐업20110222<NA><NA><NA>02 864 7688<NA>150815서울특별시 영등포구 대림3동 740번지 11호 2층서울특별시 영등포구 대림로35가길 3 (대림동,2층)<NA>메이소CJ취업정보2011-02-22 09:33:46I2018-08-31 23:59:59.0<NA>190885.635732444045.680094개인유료
83324000020223240289145000042022-11-18<NA>5제외/삭제/전출50타시군구이관2024-01-23<NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 389-9 광남캐스빌서울특별시 강동구 천중로44길 75, 2층 204호 (길동, 광남캐스빌)05353에스에이치파트너스2024-01-23 09:17:53U2023-11-30 22:05:00.0<NA>212246.35287448386.840617<NA><NA>
16283240000202232402811450001120220808<NA>3폐업40폐업20221109<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 297-2서울특별시 강동구 구천면로 279, 3층 302호 (천호동)05320성호건설인력2022-11-09 17:38:24U2021-10-31 23:01:00.0<NA>211677.522963449214.326663<NA><NA>
70033180000200731801211150004020070622<NA>3폐업40폐업20090113<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 대림동 746번지 15호 7통 2반서울특별시 영등포구 도림로47나길 19 (대림동)<NA>만점사랑2009-01-13 19:43:59I2018-08-31 23:59:59.0<NA>191114.992186444011.489737개인유료
73173240000200132400731150001720011120<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 이문동 243번지 23호 28통 4반<NA><NA>비자인력개발2002-12-16 14:38:59I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
36623060000202030601761450000820200907<NA>3폐업40폐업20201101<NA><NA><NA>02 16614938<NA><NA>서울특별시 중랑구 묵동 247-4 중랑제일교회서울특별시 중랑구 봉화산로3길 131, 중랑제일교회 2층 (묵동)02011보다홀딩스2020-11-03 14:17:29U2020-11-05 02:40:00.0<NA>206535.589616456131.366755개인유료
65093180000202231802391450000920220323<NA>1영업/정상20영업중<NA><NA><NA><NA>02 20383232<NA><NA>서울특별시 영등포구 여의도동 11-11 한서리버파크서울특별시 영등포구 여의서로 43, 한서리버파크 902호 (여의도동)07239(주)코리아휴먼리소시스2022-03-23 11:06:48I2022-03-25 00:22:35.0<NA>193282.654267447611.552046법인유료
55513150000200331500761150002020030118<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 427번지 9호 4통 2반서울특별시 양천구 오목로7길 28 (신월동)<NA>나래직업소개소2003-10-21 09:12:21I2018-08-31 23:59:59.0<NA>185894.395136446931.832341개인유료
31863040000200230400731150001020020809<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 562번지 1호 42통 2반 방배대우아파트 1 406서울특별시 서초구 효령로4길 56-29, 1동 406호 (방배동,방배대우아파트)<NA>우리베이비시터2005-07-25 16:51:46I2018-08-31 23:59:59.0<NA>199133.805677441557.410037개인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
91133220000201232201631450000720120116<NA>3폐업40폐업20130331<NA><NA><NA><NA><NA>135272서울특별시 강남구 도곡2동 452번지 석천빌딩 401호서울특별시 강남구 논현로26길 28 (도곡동,석천빌딩 401호)<NA>(주)이노컨설팅2013-04-03 17:02:39I2018-08-31 23:59:59.0<NA>203892.58677442314.580938법인유료
92223220000200032200811150005120000728<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 150호 5통 6반 훼밀리아파트 210 205서울특별시 송파구 중대로 24, 210동 205호 (문정동,훼밀리아파트)<NA>(주)유니에스2004-05-15 11:12:38I2018-08-31 23:59:59.0<NA>210045.748264442930.687285법인유료
24143010000200430100711150000820040714<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 534번지 141호서울특별시 노원구 월계로44길 55 (월계동)<NA>대성종합인력2006-11-13 13:11:14I2018-08-31 23:59:59.0<NA>204645.989522458145.950719개인유료
85503210000199532100731150000119951206<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1480번지 12호 32통 9반 한진빌라 1층 1호서울특별시 서초구 남부순환로315길 88-5, 1층동 1호호 (서초동,한진빌라)<NA>박종금직업소개소2005-04-08 13:43:16I2018-08-31 23:59:59.0<NA>200606.872031442250.275014개인유료
58053160000201331601601450002820131206<NA>3폐업40폐업20151027<NA><NA><NA>02 785 5555<NA>152858서울특별시 구로구 구로동 496번지서울특별시 구로구 구로동로 236, 1층 (구로동)152858세일인력2015-10-28 09:27:41I2018-08-31 23:59:59.0<NA>189548.998017444150.830614개인유료
8069321000020133210114145000362008-01-29<NA>1영업/정상20영업중<NA><NA><NA><NA>02 532 4273<NA><NA>서울특별시 서초구 서초동 1316번지 4호 팔레스빌딩 1006호서울특별시 서초구 서운로 160, 1006호 (서초동, 팔레스빌딩)137-857탑플레이스먼트(주)2023-12-01 15:31:10U2022-11-02 00:03:00.0<NA>202069.323855443943.671702<NA><NA>
78033200000200732000991150000320070314<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 고양시일산동구 백석동 1329호 32통 3반 밀레니엄리젠시 1005경기도 고양시 일산동구 호수로 340-11, 1005호 (백석동,밀레니엄리젠시)<NA>필로스골프2007-04-17 10:54:54I2018-08-31 23:59:59.0<NA>181117.37185459560.502536개인유료
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39813080000201030800971450001420100813<NA>3폐업40폐업20180504<NA><NA><NA>02 996 6677<NA><NA>서울특별시 강북구 수유동 223번지 39호 7통 5반 3층서울특별시 강북구 노해로 28, 3층 (수유동)01072칠복 직업소개소2018-05-04 16:17:27I2018-08-31 23:59:59.0<NA>201967.250463459518.431532개인유료