Overview

Dataset statistics

Number of variables4
Number of observations954
Missing cells9
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.9 KiB
Average record size in memory33.1 B

Variable types

Categorical1
Numeric1
Text2

Dataset

Description경기부동산포털_물류창고 정보
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=IGWXJ7MIXD75GKHDF8X733808997&infSeq=1

Reproduction

Analysis started2023-12-10 21:24:34.384245
Analysis finished2023-12-10 21:24:35.000050
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체구분
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
물류창고
485 
국제물류주선업
456 
물류단지
 
13

Length

Max length7
Median length4
Mean length5.4339623
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물류창고 485
50.8%
국제물류주선업 456
47.8%
물류단지 13
 
1.4%

Length

2023-12-11T06:24:35.063356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:24:35.159553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물류창고 485
50.8%
국제물류주선업 456
47.8%
물류단지 13
 
1.4%

고유번호
Real number (ℝ)

Distinct757
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1390928 × 1018
Minimum4.111113 × 1018
Maximum4.183033 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2023-12-11T06:24:35.263571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.111113 × 1018
5-th percentile4.1135108 × 1018
Q14.1271104 × 1018
median4.1410103 × 1018
Q34.150035 × 1018
95-th percentile4.161033 × 1018
Maximum4.183033 × 1018
Range7.1920024 × 1016
Interquartile range (IQR)2.2924625 × 1016

Descriptive statistics

Standard deviation1.5804847 × 1016
Coefficient of variation (CV)0.0038184327
Kurtosis-1.1075544
Mean4.1390928 × 1018
Median Absolute Deviation (MAD)1.36999 × 1016
Skewness-0.026428369
Sum1.0913294 × 1018
Variance2.497932 × 1032
MonotonicityNot monotonic
2023-12-11T06:24:35.388496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4141010300104510000 30
 
3.1%
4128510600113230000 8
 
0.8%
4128510400108680000 8
 
0.8%
4128510400108690000 7
 
0.7%
4167025032106980003 5
 
0.5%
4122025624105700000 5
 
0.5%
4128510600113240000 4
 
0.4%
4146134024106730001 4
 
0.4%
4111312800108860050 4
 
0.4%
4157025325107370000 4
 
0.4%
Other values (747) 875
91.7%
ValueCountFrequency (%)
4111113000103830000 1
 
0.1%
4111113100108970000 1
 
0.1%
4111113200104330069 1
 
0.1%
4111113400103060001 1
 
0.1%
4111113500101880000 1
 
0.1%
4111312800108860050 4
0.4%
4111312800109280000 1
 
0.1%
4111313400111090000 1
 
0.1%
4111313700109940014 1
 
0.1%
4111313700110280006 1
 
0.1%
ValueCountFrequency (%)
4183033024106000015 1
0.1%
4180038021112810000 1
0.1%
4180034025103960000 1
0.1%
4180031026101060002 1
0.1%
4180025021102090008 1
0.1%
4167035024102250001 1
0.1%
4167034033103290000 1
0.1%
4167034032101580001 1
0.1%
4167031024102040006 1
0.1%
4167025035106120000 1
0.1%

주소
Text

Distinct853
Distinct (%)90.3%
Missing9
Missing (%)0.9%
Memory size7.6 KiB
2023-12-11T06:24:35.656235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length24.765079
Min length7

Characters and Unicode

Total characters23403
Distinct characters414
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique800 ?
Unique (%)84.7%

Sample

1st row경기도 성남시 분당구 분당내곡로 159, 에이동 507호(삼평동, 판교역케이씨씨웰츠타워)
2nd row경기도 성남시 분당구 판교역로192번길 16, 7층(삼평동, 판교타워)
3rd row경기도 성남시 분당구 판교역로 240, 에이동 509호(삼평동, 삼환하이펙스)
4th row경기도 성남시 분당구 판교역로 240, 에이동 608호(삼평동, 삼환하이펙스)
5th row경기도 성남시 분당구 대왕판교로 670, 7층 704호(삼평동, 유스페이스2 비동)
ValueCountFrequency (%)
경기도 451
 
9.4%
용인시 134
 
2.8%
고양시 122
 
2.5%
평택시 109
 
2.3%
이천시 91
 
1.9%
처인구 84
 
1.7%
일산동구 83
 
1.7%
포승읍 61
 
1.3%
김포시 54
 
1.1%
마장면 48
 
1.0%
Other values (1897) 3575
74.3%
2023-12-11T06:24:36.062070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3962
 
16.9%
시 995
 
4.3%
1 926
 
4.0%
동 717
 
3.1%
2 593
 
2.5%
기 520
 
2.2%
, 514
 
2.2%
도 494
 
2.1%
3 485
 
2.1%
경 474
 
2.0%
Other values (404) 13723
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13233
56.5%
Decimal Number 4519
 
19.3%
Space Separator 3962
 
16.9%
Other Punctuation 515
 
2.2%
Dash Punctuation 459
 
2.0%
Open Punctuation 342
 
1.5%
Close Punctuation 342
 
1.5%
Uppercase Letter 25
 
0.1%
Lowercase Letter 5
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 995
 
7.5%
동 717
 
5.4%
기 520
 
3.9%
도 494
 
3.7%
경 474
 
3.6%
로 422
 
3.2%
구 408
 
3.1%
리 344
 
2.6%
호 308
 
2.3%
면 274
 
2.1%
Other values (372) 8277
62.5%
Decimal Number
ValueCountFrequency (%)
1 926
20.5%
2 593
13.1%
3 485
10.7%
0 450
10.0%
5 427
9.4%
4 414
9.2%
7 351
 
7.8%
6 331
 
7.3%
8 281
 
6.2%
9 261
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 9
36.0%
C 3
 
12.0%
A 3
 
12.0%
D 2
 
8.0%
I 2
 
8.0%
T 2
 
8.0%
M 1
 
4.0%
U 1
 
4.0%
H 1
 
4.0%
G 1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
20.0%
w 1
20.0%
e 1
20.0%
o 1
20.0%
c 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 514
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3962
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 459
100.0%
Open Punctuation
ValueCountFrequency (%)
( 342
100.0%
Close Punctuation
ValueCountFrequency (%)
) 342
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13233
56.5%
Common 10139
43.3%
Latin 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 995
 
7.5%
동 717
 
5.4%
기 520
 
3.9%
도 494
 
3.7%
경 474
 
3.6%
로 422
 
3.2%
구 408
 
3.1%
리 344
 
2.6%
호 308
 
2.3%
면 274
 
2.1%
Other values (372) 8277
62.5%
Common
ValueCountFrequency (%)
3962
39.1%
1 926
 
9.1%
2 593
 
5.8%
, 514
 
5.1%
3 485
 
4.8%
- 459
 
4.5%
0 450
 
4.4%
5 427
 
4.2%
4 414
 
4.1%
7 351
 
3.5%
Other values (6) 1558
 
15.4%
Latin
ValueCountFrequency (%)
B 9
29.0%
C 3
 
9.7%
A 3
 
9.7%
D 2
 
6.5%
I 2
 
6.5%
T 2
 
6.5%
r 1
 
3.2%
M 1
 
3.2%
Ⅱ 1
 
3.2%
w 1
 
3.2%
Other values (6) 6
19.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13233
56.5%
ASCII 10169
43.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3962
39.0%
1 926
 
9.1%
2 593
 
5.8%
, 514
 
5.1%
3 485
 
4.8%
- 459
 
4.5%
0 450
 
4.4%
5 427
 
4.2%
4 414
 
4.1%
7 351
 
3.5%
Other values (21) 1588
15.6%
Hangul
ValueCountFrequency (%)
시 995
 
7.5%
동 717
 
5.4%
기 520
 
3.9%
도 494
 
3.7%
경 474
 
3.6%
로 422
 
3.2%
구 408
 
3.1%
리 344
 
2.6%
호 308
 
2.3%
면 274
 
2.1%
Other values (372) 8277
62.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

업체명
Text

Distinct811
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2023-12-11T06:24:36.234976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length8.3322851
Min length2

Characters and Unicode

Total characters7949
Distinct characters384
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique752 ?
Unique (%)78.8%

Sample

1st row㈜하멕스
2nd row㈜에이치엘라인
3rd row㈜엔비전교역
4th row트래비스글로벌㈜
5th row이트너스㈜
ValueCountFrequency (%)
주식회사 38
 
3.5%
씨제이대한통운(주 17
 
1.6%
씨제이대한통운㈜ 15
 
1.4%
롯데로지스틱스㈜ 15
 
1.4%
롯데로지스틱스(주 12
 
1.1%
씨제이대한통운 7
 
0.7%
롯데글로벌로지스(주 6
 
0.6%
㈜태은물류 5
 
0.5%
주)비지에프로지스 5
 
0.5%
㈜판토스 5
 
0.5%
Other values (858) 948
88.4%
2023-12-11T06:24:36.512243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 617
 
7.8%
㈜ 583
 
7.3%
지 353
 
4.4%
로 336
 
4.2%
주 319
 
4.0%
( 289
 
3.6%
) 289
 
3.6%
이 240
 
3.0%
물 187
 
2.4%
류 183
 
2.3%
Other values (374) 4553
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6572
82.7%
Other Symbol 583
 
7.3%
Open Punctuation 289
 
3.6%
Close Punctuation 289
 
3.6%
Space Separator 121
 
1.5%
Uppercase Letter 55
 
0.7%
Decimal Number 21
 
0.3%
Other Punctuation 12
 
0.2%
Lowercase Letter 4
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 617
 
9.4%
지 353
 
5.4%
로 336
 
5.1%
주 319
 
4.9%
이 240
 
3.7%
물 187
 
2.8%
류 183
 
2.8%
에 180
 
2.7%
틱 140
 
2.1%
운 119
 
1.8%
Other values (336) 3898
59.3%
Uppercase Letter
ValueCountFrequency (%)
C 7
12.7%
K 6
10.9%
B 5
9.1%
H 4
 
7.3%
E 4
 
7.3%
S 4
 
7.3%
G 4
 
7.3%
F 4
 
7.3%
A 4
 
7.3%
L 3
 
5.5%
Other values (8) 10
18.2%
Decimal Number
ValueCountFrequency (%)
1 7
33.3%
8 3
14.3%
2 3
14.3%
7 2
 
9.5%
3 2
 
9.5%
5 1
 
4.8%
6 1
 
4.8%
9 1
 
4.8%
4 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
s 1
25.0%
k 1
25.0%
b 1
25.0%
u 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 9
75.0%
· 3
 
25.0%
Other Symbol
ValueCountFrequency (%)
㈜ 583
100.0%
Open Punctuation
ValueCountFrequency (%)
( 289
100.0%
Close Punctuation
ValueCountFrequency (%)
) 289
100.0%
Space Separator
ValueCountFrequency (%)
121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7155
90.0%
Common 735
 
9.2%
Latin 59
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 617
 
8.6%
㈜ 583
 
8.1%
지 353
 
4.9%
로 336
 
4.7%
주 319
 
4.5%
이 240
 
3.4%
물 187
 
2.6%
류 183
 
2.6%
에 180
 
2.5%
틱 140
 
2.0%
Other values (337) 4017
56.1%
Latin
ValueCountFrequency (%)
C 7
11.9%
K 6
10.2%
B 5
 
8.5%
H 4
 
6.8%
E 4
 
6.8%
S 4
 
6.8%
G 4
 
6.8%
F 4
 
6.8%
A 4
 
6.8%
L 3
 
5.1%
Other values (12) 14
23.7%
Common
ValueCountFrequency (%)
( 289
39.3%
) 289
39.3%
121
16.5%
, 9
 
1.2%
1 7
 
1.0%
· 3
 
0.4%
8 3
 
0.4%
2 3
 
0.4%
- 3
 
0.4%
7 2
 
0.3%
Other values (5) 6
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6572
82.7%
ASCII 791
 
10.0%
None 586
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 617
 
9.4%
지 353
 
5.4%
로 336
 
5.1%
주 319
 
4.9%
이 240
 
3.7%
물 187
 
2.8%
류 183
 
2.8%
에 180
 
2.7%
틱 140
 
2.1%
운 119
 
1.8%
Other values (336) 3898
59.3%
None
ValueCountFrequency (%)
㈜ 583
99.5%
· 3
 
0.5%
ASCII
ValueCountFrequency (%)
( 289
36.5%
) 289
36.5%
121
15.3%
, 9
 
1.1%
C 7
 
0.9%
1 7
 
0.9%
K 6
 
0.8%
B 5
 
0.6%
H 4
 
0.5%
E 4
 
0.5%
Other values (26) 50
 
6.3%

Interactions

2023-12-11T06:24:34.765864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:24:36.584046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체구분고유번호
업체구분1.0000.692
고유번호0.6921.000
2023-12-11T06:24:36.642300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호업체구분
고유번호1.0000.400
업체구분0.4001.000

Missing values

2023-12-11T06:24:34.879927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:24:34.971446image/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.

Sample

업체구분고유번호주소업체명
0국제물류주선업4113510900106580000경기도 성남시 분당구 분당내곡로 159, 에이동 507호(삼평동, 판교역케이씨씨웰츠타워)㈜하멕스
1국제물류주선업4113510900106620000경기도 성남시 분당구 판교역로192번길 16, 7층(삼평동, 판교타워)㈜에이치엘라인
2국제물류주선업4113510900106780000경기도 성남시 분당구 판교역로 240, 에이동 509호(삼평동, 삼환하이펙스)㈜엔비전교역
3국제물류주선업4113510900106780000경기도 성남시 분당구 판교역로 240, 에이동 608호(삼평동, 삼환하이펙스)트래비스글로벌㈜
4국제물류주선업4113510900106820000경기도 성남시 분당구 대왕판교로 670, 7층 704호(삼평동, 유스페이스2 비동)이트너스㈜
5국제물류주선업4113511100102100000경기도 성남시 분당구 정자일로 1, 디동 218호(금곡동, 트리폴리스상가)㈜비씨엘
6국제물류주선업4113511400100070002경기도 성남시 분당구 돌마로 46, 407-38호(구미동, 광천프라자)명진종합물류㈜
7국제물류주선업4113511400100180000경기도 성남시 분당구 탄천상로 164, 비동 605호(구미동, 시그마오피스텔2)㈜이노트란스
8국제물류주선업4113511400101890001경기도 성남시 분당구 구미로 16, 858호(구미동, 성우스타하우스오피스텔)코아쉬핑㈜
9국제물류주선업4113511500109640000경기도 성남시 분당구 운중로 131, 스타식스메트로 902호(운중동)㈜송현엘에스
업체구분고유번호주소업체명
944물류창고4146310800103680034용인시 기흥구 고매동 368-34(주)유엘에스
945물류창고4146310800105460012용인시 기흥구 고매동 546-12(주)코업로지스틱스
946물류창고4146311600104630000용인시 기흥구 중동 461-3(주)에스에이엠티
947물류창고4146510200113510000용인시 수지구 죽전동 1351SK네트웍스(주) 서울지사
948물류창고4148012000107250013경기도 파주시 신촌동 721-5㈜서브원 파주Hub
949물류창고4150031030105130000이천시 신둔면 용면리 513번지 외 1필지(주)유한로지스틱스
950물류창고4161033028110070000광주시 도척면 진우리 1007씨제이대한통운㈜
951물류창고4163011700104630001양주시 평화로 1597번길 41-1(회정동)씨제이대한통운㈜
952물류창고4165031022100010002포천시 군내면 용정리㈜아소리빙
953물류창고4167011300104440005여주시 하거동 444-5뱅뱅비앤지