Overview

Dataset statistics

Number of variables19
Number of observations7282
Missing cells58479
Missing cells (%)42.3%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory1.1 MiB
Average record size in memory161.0 B

Variable types

Categorical3
Text6
DateTime2
Unsupported4
Numeric4

Dataset

Description유료 직업소개소 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=M6V6J5TML1J4XDN9HJ79252632&infSeq=1

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
영업상태명 is highly overall correlated with 영업상태구분코드High correlation
영업상태구분코드 is highly overall correlated with 영업상태명High correlation
WGS84위도 is highly overall correlated with Y좌표값 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with X좌표값 and 1 other fieldsHigh correlation
X좌표값 is highly overall correlated with WGS84경도 and 1 other fieldsHigh correlation
Y좌표값 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
시군명 is highly overall correlated with WGS84위도 and 3 other fieldsHigh correlation
영업상태구분코드 is highly imbalanced (62.3%)Imbalance
인허가취소일자 has 7282 (100.0%) missing valuesMissing
폐업일자 has 3675 (50.5%) missing valuesMissing
소재지시설전화번호 has 6812 (93.5%) missing valuesMissing
소재지면적정보 has 7282 (100.0%) missing valuesMissing
도로명우편번호 has 5919 (81.3%) missing valuesMissing
소재지도로명주소 has 294 (4.0%) missing valuesMissing
소재지우편번호 has 153 (2.1%) missing valuesMissing
WGS84위도 has 323 (4.4%) missing valuesMissing
WGS84경도 has 323 (4.4%) missing valuesMissing
업태구분명정보 has 7282 (100.0%) missing valuesMissing
X좌표값 has 5918 (81.3%) missing valuesMissing
Y좌표값 has 5918 (81.3%) missing valuesMissing
법인구분명 has 7282 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:02:33.870975
Analysis finished2023-12-10 22:02:38.295854
Duration4.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size57.0 KiB
수원시
836 
성남시
515 
고양시
503 
안산시
466 
화성시
 
450
Other values (28)
4512 

Length

Max length4
Median length3
Mean length3.0715463
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 836
 
11.5%
성남시 515
 
7.1%
고양시 503
 
6.9%
안산시 466
 
6.4%
화성시 450
 
6.2%
평택시 445
 
6.1%
부천시 434
 
6.0%
용인시 359
 
4.9%
안양시 294
 
4.0%
김포시 281
 
3.9%
Other values (23) 2699
37.1%

Length

2023-12-11T07:02:38.393784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 836
 
11.5%
성남시 515
 
7.1%
고양시 503
 
6.9%
안산시 466
 
6.4%
화성시 450
 
6.2%
평택시 445
 
6.1%
부천시 434
 
6.0%
용인시 359
 
4.9%
안양시 294
 
4.0%
김포시 281
 
3.9%
Other values (23) 2699
37.1%

사업장명
Text

Distinct5262
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size57.0 KiB
2023-12-11T07:02:38.668923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length6.5634441
Min length1

Characters and Unicode

Total characters47795
Distinct characters681
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4242 ?
Unique (%)58.3%

Sample

1st row성화인력사무소
2nd row가평도우미인력사무소
3rd row에어인력사무소
4th row태신인력
5th row가평인력
ValueCountFrequency (%)
직업소개소 276
 
3.3%
주식회사 140
 
1.7%
인력 52
 
0.6%
동양인력 43
 
0.5%
우리인력 32
 
0.4%
현대인력 27
 
0.3%
파출부 24
 
0.3%
개미인력개발 22
 
0.3%
하나인력 22
 
0.3%
황소인력 20
 
0.2%
Other values (5316) 7702
92.1%
2023-12-11T07:02:39.037453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 3930
 
8.2%
소 3708
 
7.8%
력 3664
 
7.7%
개 2334
 
4.9%
업 1933
 
4.0%
직 1686
 
3.5%
1080
 
2.3%
사 771
 
1.6%
주 687
 
1.4%
파 669
 
1.4%
Other values (671) 27333
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44364
92.8%
Space Separator 1080
 
2.3%
Uppercase Letter 656
 
1.4%
Close Punctuation 565
 
1.2%
Open Punctuation 558
 
1.2%
Lowercase Letter 279
 
0.6%
Decimal Number 171
 
0.4%
Other Punctuation 102
 
0.2%
Dash Punctuation 9
 
< 0.1%
Math Symbol 6
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 3930
 
8.9%
소 3708
 
8.4%
력 3664
 
8.3%
개 2334
 
5.3%
업 1933
 
4.4%
직 1686
 
3.8%
사 771
 
1.7%
주 687
 
1.5%
파 669
 
1.5%
발 572
 
1.3%
Other values (596) 24410
55.0%
Uppercase Letter
ValueCountFrequency (%)
S 72
 
11.0%
K 62
 
9.5%
O 54
 
8.2%
E 44
 
6.7%
H 42
 
6.4%
M 42
 
6.4%
A 40
 
6.1%
C 39
 
5.9%
J 35
 
5.3%
R 33
 
5.0%
Other values (15) 193
29.4%
Lowercase Letter
ValueCountFrequency (%)
o 43
15.4%
e 27
 
9.7%
a 26
 
9.3%
m 22
 
7.9%
r 18
 
6.5%
s 15
 
5.4%
n 14
 
5.0%
t 13
 
4.7%
i 12
 
4.3%
c 11
 
3.9%
Other values (14) 78
28.0%
Decimal Number
ValueCountFrequency (%)
1 71
41.5%
4 25
 
14.6%
0 21
 
12.3%
2 20
 
11.7%
9 11
 
6.4%
8 9
 
5.3%
3 6
 
3.5%
5 4
 
2.3%
7 2
 
1.2%
6 2
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 40
39.2%
& 34
33.3%
, 16
 
15.7%
/ 5
 
4.9%
· 5
 
4.9%
" 2
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 563
99.6%
] 2
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 556
99.6%
[ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
1080
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44363
92.8%
Common 2492
 
5.2%
Latin 936
 
2.0%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 3930
 
8.9%
소 3708
 
8.4%
력 3664
 
8.3%
개 2334
 
5.3%
업 1933
 
4.4%
직 1686
 
3.8%
사 771
 
1.7%
주 687
 
1.5%
파 669
 
1.5%
발 572
 
1.3%
Other values (594) 24409
55.0%
Latin
ValueCountFrequency (%)
S 72
 
7.7%
K 62
 
6.6%
O 54
 
5.8%
E 44
 
4.7%
o 43
 
4.6%
H 42
 
4.5%
M 42
 
4.5%
A 40
 
4.3%
C 39
 
4.2%
J 35
 
3.7%
Other values (40) 463
49.5%
Common
ValueCountFrequency (%)
1080
43.3%
) 563
22.6%
( 556
22.3%
1 71
 
2.8%
. 40
 
1.6%
& 34
 
1.4%
4 25
 
1.0%
0 21
 
0.8%
2 20
 
0.8%
, 16
 
0.6%
Other values (14) 66
 
2.6%
Han
ValueCountFrequency (%)
信 2
50.0%
人 1
25.0%
福 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44358
92.8%
ASCII 3422
 
7.2%
None 8
 
< 0.1%
CJK 4
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 3930
 
8.9%
소 3708
 
8.4%
력 3664
 
8.3%
개 2334
 
5.3%
업 1933
 
4.4%
직 1686
 
3.8%
사 771
 
1.7%
주 687
 
1.5%
파 669
 
1.5%
발 572
 
1.3%
Other values (592) 24404
55.0%
ASCII
ValueCountFrequency (%)
1080
31.6%
) 563
16.5%
( 556
16.2%
S 72
 
2.1%
1 71
 
2.1%
K 62
 
1.8%
O 54
 
1.6%
E 44
 
1.3%
o 43
 
1.3%
H 42
 
1.2%
Other values (62) 835
24.4%
None
ValueCountFrequency (%)
· 5
62.5%
㈜ 3
37.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
CJK
ValueCountFrequency (%)
信 2
50.0%
人 1
25.0%
福 1
25.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

인허가일자
Date

Distinct3611
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Memory size57.0 KiB
Minimum1900-01-01 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T07:02:39.156959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:39.273334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7282
Missing (%)100.0%
Memory size64.1 KiB

영업상태구분코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.0 KiB
<NA>
5881 
20
1110 
40
 
249
50
 
34
70
 
8

Length

Max length4
Median length4
Mean length3.6152156
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20
2nd row20
3rd row20
4th row20
5th row20

Common Values

ValueCountFrequency (%)
<NA> 5881
80.8%
20 1110
 
15.2%
40 249
 
3.4%
50 34
 
0.5%
70 8
 
0.1%

Length

2023-12-11T07:02:39.464670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:02:39.578997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5881
80.8%
20 1110
 
15.2%
40 249
 
3.4%
50 34
 
0.5%
70 8
 
0.1%

영업상태명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.0 KiB
폐업 등
3295 
운영중
2586 
영업중
1110 
폐업
 
249
타시군구이관
 
34

Length

Max length6
Median length3
Mean length3.4333974
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 등 3295
45.2%
운영중 2586
35.5%
영업중 1110
 
15.2%
폐업 249
 
3.4%
타시군구이관 34
 
0.5%
등록취소 8
 
0.1%

Length

2023-12-11T07:02:39.720242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:02:39.860582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3544
33.5%
등 3295
31.2%
운영중 2586
24.4%
영업중 1110
 
10.5%
타시군구이관 34
 
0.3%
등록취소 8
 
0.1%

폐업일자
Date

MISSING 

Distinct2090
Distinct (%)57.9%
Missing3675
Missing (%)50.5%
Memory size57.0 KiB
Minimum1998-06-05 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T07:02:39.965358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:40.075770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct463
Distinct (%)98.5%
Missing6812
Missing (%)93.5%
Memory size57.0 KiB
2023-12-11T07:02:40.289583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.425532
Min length7

Characters and Unicode

Total characters5370
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

Unique456 ?
Unique (%)97.0%

Sample

1st row0315846655
2nd row031 584 5527
3rd row031 581 8511
4th row0315847081
5th row0315855828
ValueCountFrequency (%)
031 301
 
26.7%
032 20
 
1.8%
02 16
 
1.4%
070 9
 
0.8%
399 5
 
0.4%
444 5
 
0.4%
375 4
 
0.4%
354 4
 
0.4%
543 4
 
0.4%
977 4
 
0.4%
Other values (648) 757
67.1%
2023-12-11T07:02:40.823036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 801
14.9%
3 797
14.8%
1 750
14.0%
682
12.7%
5 399
7.4%
7 356
6.6%
4 345
6.4%
2 336
6.3%
9 316
 
5.9%
8 305
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4688
87.3%
Space Separator 682
 
12.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 801
17.1%
3 797
17.0%
1 750
16.0%
5 399
8.5%
7 356
7.6%
4 345
7.4%
2 336
7.2%
9 316
 
6.7%
8 305
 
6.5%
6 283
 
6.0%
Space Separator
ValueCountFrequency (%)
682
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5370
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 801
14.9%
3 797
14.8%
1 750
14.0%
682
12.7%
5 399
7.4%
7 356
6.6%
4 345
6.4%
2 336
6.3%
9 316
 
5.9%
8 305
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5370
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 801
14.9%
3 797
14.8%
1 750
14.0%
682
12.7%
5 399
7.4%
7 356
6.6%
4 345
6.4%
2 336
6.3%
9 316
 
5.9%
8 305
 
5.7%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7282
Missing (%)100.0%
Memory size64.1 KiB

도로명우편번호
Text

MISSING 

Distinct850
Distinct (%)62.4%
Missing5919
Missing (%)81.3%
Memory size57.0 KiB
2023-12-11T07:02:41.092388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1467351
Min length5

Characters and Unicode

Total characters7015
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

Unique594 ?
Unique (%)43.6%

Sample

1st row12467
2nd row12422
3rd row12466
4th row12467
5th row12420
ValueCountFrequency (%)
18593 16
 
1.2%
15811 10
 
0.7%
15431 10
 
0.7%
14548 9
 
0.7%
10387 8
 
0.6%
18469 7
 
0.5%
14092 7
 
0.5%
12180 7
 
0.5%
15049 7
 
0.5%
18585 7
 
0.5%
Other values (840) 1275
93.5%
2023-12-11T07:02:41.471802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1872
26.7%
4 721
 
10.3%
0 647
 
9.2%
5 639
 
9.1%
3 537
 
7.7%
2 521
 
7.4%
6 513
 
7.3%
8 504
 
7.2%
7 495
 
7.1%
9 466
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6915
98.6%
Dash Punctuation 100
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1872
27.1%
4 721
 
10.4%
0 647
 
9.4%
5 639
 
9.2%
3 537
 
7.8%
2 521
 
7.5%
6 513
 
7.4%
8 504
 
7.3%
7 495
 
7.2%
9 466
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1872
26.7%
4 721
 
10.3%
0 647
 
9.2%
5 639
 
9.1%
3 537
 
7.7%
2 521
 
7.4%
6 513
 
7.3%
8 504
 
7.2%
7 495
 
7.1%
9 466
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1872
26.7%
4 721
 
10.3%
0 647
 
9.2%
5 639
 
9.1%
3 537
 
7.7%
2 521
 
7.4%
6 513
 
7.3%
8 504
 
7.2%
7 495
 
7.1%
9 466
 
6.6%

소재지도로명주소
Text

MISSING 

Distinct6351
Distinct (%)90.9%
Missing294
Missing (%)4.0%
Memory size57.0 KiB
2023-12-11T07:02:41.756983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length50
Mean length29.651975
Min length11

Characters and Unicode

Total characters207208
Distinct characters596
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5779 ?
Unique (%)82.7%

Sample

1st row경기도 가평군 설악면 신천중앙로 80 (성화알미늄)
2nd row경기도 가평군 가평읍 호반로 2582, 도우미공인중개사
3rd row경기도 가평군 설악면 유명로 1714-8
4th row경기도 가평군 설악면 신천중앙로 141-5
5th row경기도 가평군 가평읍 굴다리길 1, 지하1층
ValueCountFrequency (%)
경기도 6981
 
15.7%
수원시 824
 
1.9%
2층 781
 
1.8%
성남시 506
 
1.1%
고양시 483
 
1.1%
안산시 451
 
1.0%
부천시 429
 
1.0%
평택시 428
 
1.0%
화성시 426
 
1.0%
팔달구 405
 
0.9%
Other values (7214) 32726
73.6%
2023-12-11T07:02:42.183803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37534
 
18.1%
1 7693
 
3.7%
경 7363
 
3.6%
기 7246
 
3.5%
시 7232
 
3.5%
도 7167
 
3.5%
로 6717
 
3.2%
동 6611
 
3.2%
2 5812
 
2.8%
) 5607
 
2.7%
Other values (586) 108226
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116393
56.2%
Space Separator 37534
 
18.1%
Decimal Number 34751
 
16.8%
Close Punctuation 5607
 
2.7%
Open Punctuation 5607
 
2.7%
Other Punctuation 5493
 
2.7%
Dash Punctuation 1490
 
0.7%
Uppercase Letter 289
 
0.1%
Lowercase Letter 27
 
< 0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 7363
 
6.3%
기 7246
 
6.2%
시 7232
 
6.2%
도 7167
 
6.2%
로 6717
 
5.8%
동 6611
 
5.7%
구 3190
 
2.7%
호 2974
 
2.6%
길 2308
 
2.0%
원 2155
 
1.9%
Other values (522) 63430
54.5%
Uppercase Letter
ValueCountFrequency (%)
B 82
28.4%
A 55
19.0%
C 34
11.8%
I 22
 
7.6%
D 15
 
5.2%
S 9
 
3.1%
L 9
 
3.1%
E 9
 
3.1%
T 8
 
2.8%
R 7
 
2.4%
Other values (15) 39
13.5%
Lowercase Letter
ValueCountFrequency (%)
a 4
14.8%
c 4
14.8%
s 3
11.1%
e 3
11.1%
i 2
7.4%
n 2
7.4%
b 2
7.4%
p 1
 
3.7%
d 1
 
3.7%
r 1
 
3.7%
Other values (4) 4
14.8%
Decimal Number
ValueCountFrequency (%)
1 7693
22.1%
2 5812
16.7%
3 4072
11.7%
0 3933
11.3%
4 2934
 
8.4%
5 2551
 
7.3%
6 2147
 
6.2%
7 2139
 
6.2%
9 1736
 
5.0%
8 1734
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 5449
99.2%
. 33
 
0.6%
/ 5
 
0.1%
& 3
 
0.1%
· 1
 
< 0.1%
# 1
 
< 0.1%
@ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅰ 1
 
20.0%
Ⅲ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
37534
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5607
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5607
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1490
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116393
56.2%
Common 90494
43.7%
Latin 321
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 7363
 
6.3%
기 7246
 
6.2%
시 7232
 
6.2%
도 7167
 
6.2%
로 6717
 
5.8%
동 6611
 
5.7%
구 3190
 
2.7%
호 2974
 
2.6%
길 2308
 
2.0%
원 2155
 
1.9%
Other values (522) 63430
54.5%
Latin
ValueCountFrequency (%)
B 82
25.5%
A 55
17.1%
C 34
10.6%
I 22
 
6.9%
D 15
 
4.7%
S 9
 
2.8%
L 9
 
2.8%
E 9
 
2.8%
T 8
 
2.5%
R 7
 
2.2%
Other values (32) 71
22.1%
Common
ValueCountFrequency (%)
37534
41.5%
1 7693
 
8.5%
2 5812
 
6.4%
) 5607
 
6.2%
( 5607
 
6.2%
, 5449
 
6.0%
3 4072
 
4.5%
0 3933
 
4.3%
4 2934
 
3.2%
5 2551
 
2.8%
Other values (12) 9302
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116391
56.2%
ASCII 90809
43.8%
Number Forms 5
 
< 0.1%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37534
41.3%
1 7693
 
8.5%
2 5812
 
6.4%
) 5607
 
6.2%
( 5607
 
6.2%
, 5449
 
6.0%
3 4072
 
4.5%
0 3933
 
4.3%
4 2934
 
3.2%
5 2551
 
2.8%
Other values (50) 9617
 
10.6%
Hangul
ValueCountFrequency (%)
경 7363
 
6.3%
기 7246
 
6.2%
시 7232
 
6.2%
도 7167
 
6.2%
로 6717
 
5.8%
동 6611
 
5.7%
구 3190
 
2.7%
호 2974
 
2.6%
길 2308
 
2.0%
원 2155
 
1.9%
Other values (521) 63428
54.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅰ 1
 
20.0%
Ⅲ 1
 
20.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지지번주소
Text

Distinct6613
Distinct (%)91.0%
Missing16
Missing (%)0.2%
Memory size57.0 KiB
2023-12-11T07:02:42.490088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length51
Mean length26.927608
Min length10

Characters and Unicode

Total characters195656
Distinct characters564
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6030 ?
Unique (%)83.0%

Sample

1st row경기도 가평군 설악면 신천리 158번지 1통 1반
2nd row경기도 가평군 가평읍 달전리 405-59 도우미공인중개사
3rd row경기도 가평군 설악면 선촌리 6통 1반
4th row경기도 가평군 설악면 신천리 391번지 5호
5th row서울특별시 양천구 신정동 66통 3반 신정이펜하우스5단지 503동 1204호
ValueCountFrequency (%)
경기도 7224
 
15.9%
수원시 704
 
1.5%
1호 675
 
1.5%
2호 471
 
1.0%
2층 465
 
1.0%
화성시 451
 
1.0%
평택시 442
 
1.0%
성남시 434
 
1.0%
고양시 431
 
0.9%
안산시 410
 
0.9%
Other values (6463) 33843
74.3%
2023-12-11T07:02:42.986434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38746
19.8%
1 8574
 
4.4%
도 7437
 
3.8%
시 7403
 
3.8%
기 7385
 
3.8%
경 7278
 
3.7%
호 6810
 
3.5%
동 6644
 
3.4%
지 6464
 
3.3%
2 6079
 
3.1%
Other values (554) 92836
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113655
58.1%
Decimal Number 41560
 
21.2%
Space Separator 38746
 
19.8%
Dash Punctuation 1213
 
0.6%
Uppercase Letter 233
 
0.1%
Open Punctuation 78
 
< 0.1%
Close Punctuation 78
 
< 0.1%
Other Punctuation 58
 
< 0.1%
Lowercase Letter 24
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 7437
 
6.5%
시 7403
 
6.5%
기 7385
 
6.5%
경 7278
 
6.4%
호 6810
 
6.0%
동 6644
 
5.8%
지 6464
 
5.7%
번 5949
 
5.2%
구 3214
 
2.8%
양 1975
 
1.7%
Other values (493) 53096
46.7%
Uppercase Letter
ValueCountFrequency (%)
A 52
22.3%
B 50
21.5%
C 28
12.0%
I 16
 
6.9%
D 11
 
4.7%
T 10
 
4.3%
L 10
 
4.3%
E 8
 
3.4%
S 8
 
3.4%
M 6
 
2.6%
Other values (13) 34
14.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
16.7%
a 3
12.5%
c 3
12.5%
s 3
12.5%
i 2
8.3%
n 2
8.3%
p 1
 
4.2%
r 1
 
4.2%
w 1
 
4.2%
t 1
 
4.2%
Other values (3) 3
12.5%
Decimal Number
ValueCountFrequency (%)
1 8574
20.6%
2 6079
14.6%
3 4673
11.2%
0 4207
10.1%
4 3918
9.4%
5 3366
 
8.1%
7 3021
 
7.3%
6 2993
 
7.2%
8 2494
 
6.0%
9 2235
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 37
63.8%
. 6
 
10.3%
/ 6
 
10.3%
@ 3
 
5.2%
& 3
 
5.2%
· 2
 
3.4%
# 1
 
1.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅰ 1
25.0%
Ⅲ 1
25.0%
Space Separator
ValueCountFrequency (%)
38746
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1213
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113655
58.1%
Common 81740
41.8%
Latin 261
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7437
 
6.5%
시 7403
 
6.5%
기 7385
 
6.5%
경 7278
 
6.4%
호 6810
 
6.0%
동 6644
 
5.8%
지 6464
 
5.7%
번 5949
 
5.2%
구 3214
 
2.8%
양 1975
 
1.7%
Other values (493) 53096
46.7%
Latin
ValueCountFrequency (%)
A 52
19.9%
B 50
19.2%
C 28
10.7%
I 16
 
6.1%
D 11
 
4.2%
T 10
 
3.8%
L 10
 
3.8%
E 8
 
3.1%
S 8
 
3.1%
M 6
 
2.3%
Other values (29) 62
23.8%
Common
ValueCountFrequency (%)
38746
47.4%
1 8574
 
10.5%
2 6079
 
7.4%
3 4673
 
5.7%
0 4207
 
5.1%
4 3918
 
4.8%
5 3366
 
4.1%
7 3021
 
3.7%
6 2993
 
3.7%
8 2494
 
3.1%
Other values (12) 3669
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113652
58.1%
ASCII 81995
41.9%
Number Forms 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38746
47.3%
1 8574
 
10.5%
2 6079
 
7.4%
3 4673
 
5.7%
0 4207
 
5.1%
4 3918
 
4.8%
5 3366
 
4.1%
7 3021
 
3.7%
6 2993
 
3.7%
8 2494
 
3.0%
Other values (47) 3924
 
4.8%
Hangul
ValueCountFrequency (%)
도 7437
 
6.5%
시 7403
 
6.5%
기 7385
 
6.5%
경 7278
 
6.4%
호 6810
 
6.0%
동 6644
 
5.8%
지 6464
 
5.7%
번 5949
 
5.2%
구 3214
 
2.8%
양 1975
 
1.7%
Other values (492) 53093
46.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅰ 1
25.0%
Ⅲ 1
25.0%

소재지우편번호
Text

MISSING 

Distinct2717
Distinct (%)38.1%
Missing153
Missing (%)2.1%
Memory size57.0 KiB
2023-12-11T07:02:43.312920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3036892
Min length3

Characters and Unicode

Total characters37810
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

Unique1428 ?
Unique (%)20.0%

Sample

1st row12467
2nd row12422
3rd row12466
4th row12467
5th row12420
ValueCountFrequency (%)
000 289
 
4.1%
13376 31
 
0.4%
15431 29
 
0.4%
18593 29
 
0.4%
442081 28
 
0.4%
15811 27
 
0.4%
445390 26
 
0.4%
10059 24
 
0.3%
435040 24
 
0.3%
464807 23
 
0.3%
Other values (2707) 6599
92.6%
2023-12-11T07:02:44.179168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7633
20.2%
4 5939
15.7%
0 4696
12.4%
8 3271
8.7%
2 3269
8.6%
5 3045
 
8.1%
3 2945
 
7.8%
6 2622
 
6.9%
7 2495
 
6.6%
9 1892
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37807
> 99.9%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7633
20.2%
4 5939
15.7%
0 4696
12.4%
8 3271
8.7%
2 3269
8.6%
5 3045
 
8.1%
3 2945
 
7.8%
6 2622
 
6.9%
7 2495
 
6.6%
9 1892
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37810
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 7633
20.2%
4 5939
15.7%
0 4696
12.4%
8 3271
8.7%
2 3269
8.6%
5 3045
 
8.1%
3 2945
 
7.8%
6 2622
 
6.9%
7 2495
 
6.6%
9 1892
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37810
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7633
20.2%
4 5939
15.7%
0 4696
12.4%
8 3271
8.7%
2 3269
8.6%
5 3045
 
8.1%
3 2945
 
7.8%
6 2622
 
6.9%
7 2495
 
6.6%
9 1892
 
5.0%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5393
Distinct (%)77.5%
Missing323
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean37.41492
Minimum34.993705
Maximum38.226265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.1 KiB
2023-12-11T07:02:44.462113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.993705
5-th percentile37.007967
Q137.268888
median37.372051
Q337.620191
95-th percentile37.827366
Maximum38.226265
Range3.2325605
Interquartile range (IQR)0.35130258

Descriptive statistics

Standard deviation0.2361435
Coefficient of variation (CV)0.0063114795
Kurtosis1.117155
Mean37.41492
Median Absolute Deviation (MAD)0.12445264
Skewness0.17393531
Sum260370.43
Variance0.055763753
MonotonicityNot monotonic
2023-12-11T07:02:44.703994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2662767721 14
 
0.2%
37.26888797 13
 
0.2%
37.4310446605 12
 
0.2%
37.2912941364 12
 
0.2%
37.2069095625 10
 
0.1%
37.6717770287 9
 
0.1%
37.6687556041 9
 
0.1%
37.317162652 9
 
0.1%
37.2659405145 8
 
0.1%
37.3143552753 8
 
0.1%
Other values (5383) 6855
94.1%
(Missing) 323
 
4.4%
ValueCountFrequency (%)
34.993704636 1
< 0.1%
36.9310045847 1
< 0.1%
36.9439616432 2
< 0.1%
36.9561730145 2
< 0.1%
36.9583407124 1
< 0.1%
36.9587707063 1
< 0.1%
36.9590474814 1
< 0.1%
36.9594389602 1
< 0.1%
36.959508969 1
< 0.1%
36.9599639293 1
< 0.1%
ValueCountFrequency (%)
38.2262651806 1
< 0.1%
38.1833373267 1
< 0.1%
38.101688224 1
< 0.1%
38.1009097881 2
< 0.1%
38.1003715395 1
< 0.1%
38.0990563342 1
< 0.1%
38.0982091102 1
< 0.1%
38.0941370495 1
< 0.1%
38.0940019032 1
< 0.1%
38.0929077274 1
< 0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5394
Distinct (%)77.5%
Missing323
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean127.00439
Minimum126.47158
Maximum127.93564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.1 KiB
2023-12-11T07:02:44.843384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.47158
5-th percentile126.73803
Q1126.82255
median127.01399
Q3127.12736
95-th percentile127.43747
Maximum127.93564
Range1.4640587
Interquartile range (IQR)0.30481775

Descriptive statistics

Standard deviation0.20878076
Coefficient of variation (CV)0.0016438862
Kurtosis0.38582013
Mean127.00439
Median Absolute Deviation (MAD)0.14734285
Skewness0.58567977
Sum883823.53
Variance0.043589406
MonotonicityNot monotonic
2023-12-11T07:02:44.978930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0023523514 14
 
0.2%
127.0059781882 13
 
0.2%
127.1286373101 12
 
0.2%
127.0119127454 12
 
0.2%
127.0353563258 10
 
0.1%
126.7593648793 9
 
0.1%
126.7633634925 9
 
0.1%
126.8389926577 9
 
0.1%
127.0017004249 8
 
0.1%
126.8398749315 8
 
0.1%
Other values (5384) 6855
94.1%
(Missing) 323
 
4.4%
ValueCountFrequency (%)
126.4715795108 1
 
< 0.1%
126.5373874904 1
 
< 0.1%
126.5536529883 1
 
< 0.1%
126.5538628027 1
 
< 0.1%
126.5543027257 1
 
< 0.1%
126.5546514259 3
< 0.1%
126.5551563238 2
< 0.1%
126.5553206573 1
 
< 0.1%
126.5580754201 1
 
< 0.1%
126.5592967746 1
 
< 0.1%
ValueCountFrequency (%)
127.9356381821 1
< 0.1%
127.7510251437 1
< 0.1%
127.7325714042 1
< 0.1%
127.6642792342 2
< 0.1%
127.662786482 1
< 0.1%
127.6610392888 1
< 0.1%
127.6566740849 1
< 0.1%
127.6515527265 1
< 0.1%
127.6500267103 1
< 0.1%
127.6458142559 1
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7282
Missing (%)100.0%
Memory size64.1 KiB

X좌표값
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1250
Distinct (%)91.6%
Missing5918
Missing (%)81.3%
Infinite0
Infinite (%)0.0%
Mean199361.62
Minimum151681.78
Maximum412996.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.1 KiB
2023-12-11T07:02:45.150103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151681.78
5-th percentile175238.97
Q1181572.14
median200089
Q3211374.58
95-th percentile238984.09
Maximum412996.65
Range261314.87
Interquartile range (IQR)29802.439

Descriptive statistics

Standard deviation20699.924
Coefficient of variation (CV)0.10383104
Kurtosis8.1384898
Mean199361.62
Median Absolute Deviation (MAD)15746.21
Skewness1.3421127
Sum2.7192926 × 108
Variance4.2848687 × 108
MonotonicityNot monotonic
2023-12-11T07:02:45.306594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208287.379532243 5
 
0.1%
212411.871636034 4
 
0.1%
185736.057614723 3
 
< 0.1%
207822.739588256 3
 
< 0.1%
178801.264295062 3
 
< 0.1%
183487.725821016 3
 
< 0.1%
186812.00600677 3
 
< 0.1%
181258.71259879 3
 
< 0.1%
181034.70168025 3
 
< 0.1%
181250.587435324 3
 
< 0.1%
Other values (1240) 1331
 
18.3%
(Missing) 5918
81.3%
ValueCountFrequency (%)
151681.783567819 1
< 0.1%
159156.996079611 1
< 0.1%
160581.896059998 1
< 0.1%
160674.10717665 1
< 0.1%
160722.108156023 1
< 0.1%
162407.727398109 1
< 0.1%
162946.976693971 1
< 0.1%
163140.424359851 1
< 0.1%
163147.526901882 1
< 0.1%
163294.729154322 1
< 0.1%
ValueCountFrequency (%)
412996.649358412 1
< 0.1%
283249.638229498 1
< 0.1%
264647.547580051 1
< 0.1%
258777.924471151 1
< 0.1%
257657.91063134 1
< 0.1%
257347.50210785 1
< 0.1%
257193.182728149 1
< 0.1%
257062.478495179 1
< 0.1%
256976.501529327 1
< 0.1%
256506.705579738 1
< 0.1%

Y좌표값
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1250
Distinct (%)91.6%
Missing5918
Missing (%)81.3%
Infinite0
Infinite (%)0.0%
Mean436446.17
Minimum166216.38
Maximum510841.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.1 KiB
2023-12-11T07:02:45.439502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum166216.38
5-th percentile395363.86
Q1418373.03
median431554.21
Q3460983.37
95-th percentile481454.59
Maximum510841.46
Range344625.08
Interquartile range (IQR)42610.345

Descriptive statistics

Standard deviation27885.152
Coefficient of variation (CV)0.063891388
Kurtosis6.0702459
Mean436446.17
Median Absolute Deviation (MAD)19226.606
Skewness-0.56243353
Sum5.9531258 × 108
Variance7.7758168 × 108
MonotonicityNot monotonic
2023-12-11T07:02:45.596832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
412327.600339293 5
 
0.1%
455806.456688572 4
 
0.1%
423607.180837891 3
 
< 0.1%
410789.35102542 3
 
< 0.1%
463099.663234694 3
 
< 0.1%
397775.29592123 3
 
< 0.1%
441358.410644991 3
 
< 0.1%
424761.274007584 3
 
< 0.1%
424985.683162494 3
 
< 0.1%
425364.1937793 3
 
< 0.1%
Other values (1240) 1331
 
18.3%
(Missing) 5918
81.3%
ValueCountFrequency (%)
166216.375475463 1
< 0.1%
283032.245045712 1
< 0.1%
382513.368265218 1
< 0.1%
383846.011913211 1
< 0.1%
384206.250052547 1
< 0.1%
384412.953724685 1
< 0.1%
384548.479215706 1
< 0.1%
384911.919127582 1
< 0.1%
385500.76280008 1
< 0.1%
387026.454168247 1
< 0.1%
ValueCountFrequency (%)
510841.459186141 1
< 0.1%
509823.395881772 1
< 0.1%
503170.9363293 1
< 0.1%
502955.289409783 1
< 0.1%
501941.807904491 1
< 0.1%
501699.298197598 1
< 0.1%
500036.724226558 1
< 0.1%
499710.090613351 1
< 0.1%
497597.530728178 1
< 0.1%
496287.192628676 1
< 0.1%

법인구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7282
Missing (%)100.0%
Memory size64.1 KiB

Interactions

2023-12-11T07:02:36.973506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:35.823439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:36.203201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:36.613587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:37.223627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:35.911756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:36.312529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:36.702514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:37.466719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:36.017916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:36.416625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:36.801210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:37.560922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:36.104139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:36.510610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:02:36.890108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:02:45.735725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명영업상태구분코드영업상태명WGS84위도WGS84경도X좌표값Y좌표값
시군명1.0000.2440.1900.9280.9300.8930.941
영업상태구분코드0.2441.0001.0000.0020.0000.0000.039
영업상태명0.1901.0001.0000.0510.0580.0000.039
WGS84위도0.9280.0020.0511.0000.3190.2660.721
WGS84경도0.9300.0000.0580.3191.0000.9370.503
X좌표값0.8930.0000.0000.2660.9371.0000.684
Y좌표값0.9410.0390.0390.7210.5030.6841.000
2023-12-11T07:02:45.881733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태명시군명영업상태구분코드
영업상태명1.0000.0841.000
시군명0.0841.0000.127
영업상태구분코드1.0000.1271.000
2023-12-11T07:02:45.986014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
WGS84위도WGS84경도X좌표값Y좌표값시군명영업상태구분코드영업상태명
WGS84위도1.000-0.195-0.1841.0000.7530.0010.019
WGS84경도-0.1951.0000.999-0.1810.6730.0000.030
X좌표값-0.1840.9991.000-0.1830.6360.0000.000
Y좌표값1.000-0.181-0.1831.0000.7710.0190.019
시군명0.7530.6730.6360.7711.0000.1270.084
영업상태구분코드0.0010.0000.0000.0190.1271.0001.000
영업상태명0.0190.0300.0000.0190.0841.0001.000

Missing values

2023-12-11T07:02:37.707369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:02:37.935287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T07:02:38.140567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값법인구분명
0가평군성화인력사무소2007-03-19<NA>20영업중<NA>0315846655<NA>12467경기도 가평군 설악면 신천중앙로 80 (성화알미늄)경기도 가평군 설악면 신천리 158번지 1통 1반1246737.675833127.49408<NA>243512.237222463836.379019<NA>
1가평군가평도우미인력사무소2023-05-01<NA>20영업중<NA><NA><NA>12422경기도 가평군 가평읍 호반로 2582, 도우미공인중개사경기도 가평군 가평읍 달전리 405-59 도우미공인중개사1242237.816331127.514906<NA>245266.623974479431.999889<NA>
2가평군에어인력사무소2011-10-20<NA>20영업중<NA><NA><NA>12466경기도 가평군 설악면 유명로 1714-8경기도 가평군 설악면 선촌리 6통 1반1246637.677436127.480438<NA>242299.018101464005.1965<NA>
3가평군태신인력2017-03-28<NA>20영업중<NA>031 584 5527<NA>12467경기도 가평군 설악면 신천중앙로 141-5경기도 가평군 설악면 신천리 391번지 5호1246737.677302127.488104<NA>242996.12628463993.568121<NA>
4가평군가평인력2015-11-11<NA>20영업중<NA>031 581 8511<NA>12420경기도 가평군 가평읍 굴다리길 1, 지하1층서울특별시 양천구 신정동 66통 3반 신정이펜하우스5단지 503동 1204호1242037.826065127.51517<NA>245284.224911480514.224415<NA>
5가평군시장인력2018-11-15<NA>20영업중<NA>0315847081<NA>12453경기도 가평군 청평면 시장중앙로 6경기도 가평군 청평면 청평리 438번지 41호1245337.735652127.41614<NA>236607.45788470434.002792<NA>
6가평군AM인력2019-05-23<NA>20영업중<NA>0315855828<NA>12453경기도 가평군 청평면 잠곡로 34경기도 가평군 청평면 청평리 387번지 4호1245337.737089127.42246<NA>237167.066465470595.649526<NA>
7가평군동양인력2017-03-16<NA>20영업중<NA>0315814511<NA>12420경기도 가평군 가평읍 가화로 41-8, 가평익스프레스경기도 가평군 가평읍 대곡리 219번지 4호 가평익스프레스1242037.823569127.515362<NA>245303.944595480235.337288<NA>
8가평군가가건축인력2005-05-24<NA>20영업중<NA>0315852987<NA>12452경기도 가평군 청평면 청평중앙로 39경기도 가평군 청평면 청평리 470번지 28호1245237.737628127.419021<NA>236865.888255470659.69396<NA>
9가평군가인인력2023-05-22<NA>20영업중<NA><NA><NA>12438경기도 가평군 조종면 현창로 28-7경기도 가평군 조종면 현리 410-521243837.817633127.349729<NA>230724.605955479515.002374<NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값법인구분명
7272화성시다다인력20110309<NA><NA>폐업 등20111107<NA><NA><NA>경기도 화성시 장안면 사랑길 62 (1호)경기도 화성시 장안면 사랑리 408번지 2호 1호44594237.076655126.821894<NA><NA><NA><NA>
7273화성시믿음인력20141002<NA><NA>폐업 등20160526<NA><NA><NA>경기도 화성시 향남읍 행정서남로 58-2, 1호<NA>18597<NA><NA><NA><NA><NA><NA>
7274화성시와우인력20141107<NA><NA>폐업 등20170620<NA><NA><NA>경기도 화성시 봉담읍 효행로 244경기도 화성시 봉담읍 동화리 91번지 1호44589337.226067126.971561<NA><NA><NA><NA>
7275화성시화성종합인력사무소20141124<NA><NA>폐업 등20170830<NA><NA><NA>경기도 화성시 떡전골로 82, 108호 (병점동)경기도 화성시 병점동 386번지 12호44536037.205815127.034371<NA><NA><NA><NA>
7276<NA>휴가 주식회사2018-11-09<NA>20영업중<NA><NA><NA>04808서울특별시 성동구 천호대로 426, 장호빌딩 301호 (용답동)서울특별시 성동구 용답동 233번지 6호 장호빌딩 301호0480837.560871127.066218<NA>205779.087397450956.84779<NA>
7277<NA>조은인력2021-09-01<NA>20영업중<NA><NA><NA>58522전라남도 무안군 무안읍 승달로 4전라남도 무안군 무안읍 성내리 272-15852234.993705126.47158<NA>151681.783568166216.375475<NA>
7278<NA>도움인력2023-08-16<NA>20영업중<NA><NA><NA>07616서울특별시 강서구 방화대로23길 49-7, 302호 (공항동)서울특별시 강서구 공항동 15-320761637.56391126.813708<NA>183472.090222451316.935574<NA>
7279<NA>케이엔(KN)기획2012-05-24<NA>20영업중2014-07-03<NA><NA>22736인천광역시 서구 중봉대로586번길 9-11, 1층 102호 (연희동, 청라매그놀리아오피스텔)인천광역시 서구 연희동 799번지 16호 매그놀리아 102호2273637.532659126.651183<NA>169061.59447876.375<NA>
7280<NA>블루포인트2006-07-14<NA>20영업중<NA><NA><NA>05340서울특별시 강동구 천호대로 1073, 힐탑프라자 622호 (천호동)서울특별시 강동구 천호동 449-49 힐탑프라자0534037.536576127.131341<NA>211542.314117448273.114107<NA>
7281<NA>국제인력2016-09-08<NA>40폐업2023-10-13<NA><NA>03634서울특별시 서대문구 통일로20길 36 (홍제동)서울특별시 서대문구 홍제동 40-37번지0363437.580524126.953969<NA>195862.293105453131.868449<NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값# duplicates
0광주시가나직업소개소20030620<NA>폐업 등20081010<NA><NA>경기도 광주시 경안로88번길 35경기도 광주시 경안동 206번지 4호 5통 황제빌라 D 4021276337.408583127.248796<NA><NA>2