Overview

Dataset statistics

Number of variables11
Number of observations21
Missing cells2
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory97.1 B

Variable types

Categorical2
Text6
Numeric3

Dataset

Description경기도 소재 여성이 대표인 기업현황에 대한 데이터로써 업종, 업체명, 주생산품, 업체주소, 전화번호 등의 정보를 제공합니다.
Author경기주택도시공사
URLhttps://www.data.go.kr/data/15037014/fileData.do

Alerts

우편번호 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 우편번호High correlation
등록일 is highly imbalanced (53.3%)Imbalance
홈페이지 has 2 (9.5%) missing valuesMissing
업체명 has unique valuesUnique
주생산품 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:56:57.954349
Analysis finished2024-03-14 12:57:01.752481
Duration3.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size296.0 B
제조
10 
건설
3 
용역
2 
에어컨
 
1
청소, 소독업
 
1
Other values (4)
4 

Length

Max length9
Median length2
Mean length3.1428571
Min length2

Unique

Unique6 ?
Unique (%)28.6%

Sample

1st row제조
2nd row제조
3rd row제조
4th row에어컨
5th row건설

Common Values

ValueCountFrequency (%)
제조 10
47.6%
건설 3
 
14.3%
용역 2
 
9.5%
에어컨 1
 
4.8%
청소, 소독업 1
 
4.8%
품질, 인증 1
 
4.8%
도소매 1
 
4.8%
디자인 및 서비스 1
 
4.8%
제조업, 석재품 1
 
4.8%

Length

2024-03-14T21:57:01.990899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:57:02.283744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 10
38.5%
건설 3
 
11.5%
용역 2
 
7.7%
에어컨 1
 
3.8%
청소 1
 
3.8%
소독업 1
 
3.8%
품질 1
 
3.8%
인증 1
 
3.8%
도소매 1
 
3.8%
디자인 1
 
3.8%
Other values (4) 4
 
15.4%

업체명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-14T21:57:03.002172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length7.2380952
Min length3

Characters and Unicode

Total characters152
Distinct characters84
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row㈜풍림정공
2nd row(주)지앤아이테크
3rd row주식회사 엘파워
4th row한인공조
5th row지성산업개발(주)
ValueCountFrequency (%)
㈜풍림정공 1
 
4.5%
주)지앤아이테크 1
 
4.5%
주)하이드로코리아 1
 
4.5%
주)희망 1
 
4.5%
테스토닉 1
 
4.5%
주)오리엔탈드림 1
 
4.5%
주)활기찬중부관광 1
 
4.5%
백두환경산업 1
 
4.5%
주)이앤이솔루션 1
 
4.5%
에벤에셀유통 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T21:57:03.900081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 13
 
8.6%
) 11
 
7.2%
( 10
 
6.6%
이 8
 
5.3%
산 4
 
2.6%
업 3
 
2.0%
아 3
 
2.0%
코 3
 
2.0%
에 3
 
2.0%
리 3
 
2.0%
Other values (74) 91
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129
84.9%
Close Punctuation 11
 
7.2%
Open Punctuation 10
 
6.6%
Other Symbol 1
 
0.7%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
10.1%
이 8
 
6.2%
산 4
 
3.1%
업 3
 
2.3%
아 3
 
2.3%
코 3
 
2.3%
에 3
 
2.3%
리 3
 
2.3%
지 3
 
2.3%
앤 2
 
1.6%
Other values (70) 84
65.1%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130
85.5%
Common 22
 
14.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
10.0%
이 8
 
6.2%
산 4
 
3.1%
업 3
 
2.3%
아 3
 
2.3%
코 3
 
2.3%
에 3
 
2.3%
리 3
 
2.3%
지 3
 
2.3%
앤 2
 
1.5%
Other values (71) 85
65.4%
Common
ValueCountFrequency (%)
) 11
50.0%
( 10
45.5%
1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129
84.9%
ASCII 22
 
14.5%
None 1
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 13
 
10.1%
이 8
 
6.2%
산 4
 
3.1%
업 3
 
2.3%
아 3
 
2.3%
코 3
 
2.3%
에 3
 
2.3%
리 3
 
2.3%
지 3
 
2.3%
앤 2
 
1.6%
Other values (70) 84
65.1%
ASCII
ValueCountFrequency (%)
) 11
50.0%
( 10
45.5%
1
 
4.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주생산품
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-14T21:57:04.732643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length22
Mean length25
Min length4

Characters and Unicode

Total characters525
Distinct characters172
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row수중펌프
2nd row태양광 LED교통안전제품, 경관조명기구
3rd rowLED실내조명등, LED가로등기구, LED다운라이트, LED보안등기구, LED터널용등기구, LED투광등기구
4th row냉난방기기 구매 및 설치공사
5th row친환경수로형집수정, 소규모저류형집수정
ValueCountFrequency (%)
및 3
 
3.7%
2
 
2.5%
하이드로 2
 
2.5%
쿨링 2
 
2.5%
mbr공법(하수재이용 1
 
1.2%
국내/해외 1
 
1.2%
전세버스 1
 
1.2%
오수처리시설 1
 
1.2%
정화조 1
 
1.2%
콘크리트 1
 
1.2%
Other values (66) 66
81.5%
2024-03-14T21:57:06.046263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
 
11.4%
, 30
 
5.7%
기 12
 
2.3%
용 10
 
1.9%
E 10
 
1.9%
등 10
 
1.9%
L 10
 
1.9%
구 9
 
1.7%
D 9
 
1.7%
수 8
 
1.5%
Other values (162) 357
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 367
69.9%
Space Separator 60
 
11.4%
Uppercase Letter 45
 
8.6%
Other Punctuation 39
 
7.4%
Close Punctuation 6
 
1.1%
Open Punctuation 6
 
1.1%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 12
 
3.3%
용 10
 
2.7%
등 10
 
2.7%
구 9
 
2.5%
수 8
 
2.2%
품 7
 
1.9%
스 6
 
1.6%
소 6
 
1.6%
조 6
 
1.6%
건 6
 
1.6%
Other values (143) 287
78.2%
Uppercase Letter
ValueCountFrequency (%)
E 10
22.2%
L 10
22.2%
D 9
20.0%
R 4
 
8.9%
Y 2
 
4.4%
T 2
 
4.4%
B 2
 
4.4%
H 2
 
4.4%
I 1
 
2.2%
F 1
 
2.2%
Other values (2) 2
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 30
76.9%
/ 5
 
12.8%
. 4
 
10.3%
Space Separator
ValueCountFrequency (%)
60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 367
69.9%
Common 113
 
21.5%
Latin 45
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 12
 
3.3%
용 10
 
2.7%
등 10
 
2.7%
구 9
 
2.5%
수 8
 
2.2%
품 7
 
1.9%
스 6
 
1.6%
소 6
 
1.6%
조 6
 
1.6%
건 6
 
1.6%
Other values (143) 287
78.2%
Latin
ValueCountFrequency (%)
E 10
22.2%
L 10
22.2%
D 9
20.0%
R 4
 
8.9%
Y 2
 
4.4%
T 2
 
4.4%
B 2
 
4.4%
H 2
 
4.4%
I 1
 
2.2%
F 1
 
2.2%
Other values (2) 2
 
4.4%
Common
ValueCountFrequency (%)
60
53.1%
, 30
26.5%
) 6
 
5.3%
( 6
 
5.3%
/ 5
 
4.4%
. 4
 
3.5%
- 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 367
69.9%
ASCII 158
30.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
38.0%
, 30
19.0%
E 10
 
6.3%
L 10
 
6.3%
D 9
 
5.7%
) 6
 
3.8%
( 6
 
3.8%
/ 5
 
3.2%
. 4
 
2.5%
R 4
 
2.5%
Other values (9) 14
 
8.9%
Hangul
ValueCountFrequency (%)
기 12
 
3.3%
용 10
 
2.7%
등 10
 
2.7%
구 9
 
2.5%
수 8
 
2.2%
품 7
 
1.9%
스 6
 
1.6%
소 6
 
1.6%
조 6
 
1.6%
건 6
 
1.6%
Other values (143) 287
78.2%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14866.952
Minimum10022
Maximum18626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-14T21:57:06.259313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10022
5-th percentile10040
Q113508
median15422
Q316512
95-th percentile18534
Maximum18626
Range8604
Interquartile range (IQR)3004

Descriptive statistics

Standard deviation2528.744
Coefficient of variation (CV)0.17009162
Kurtosis-0.34429649
Mean14866.952
Median Absolute Deviation (MAD)1532
Skewness-0.54115008
Sum312206
Variance6394546.1
MonotonicityNot monotonic
2024-03-14T21:57:06.546044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
16954 2
 
9.5%
10857 1
 
4.8%
16463 1
 
4.8%
14995 1
 
4.8%
16512 1
 
4.8%
15616 1
 
4.8%
15610 1
 
4.8%
18534 1
 
4.8%
13506 1
 
4.8%
10022 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
10022 1
4.8%
10040 1
4.8%
10857 1
4.8%
12247 1
4.8%
13506 1
4.8%
13508 1
4.8%
13936 1
4.8%
14059 1
4.8%
14544 1
4.8%
14995 1
4.8%
ValueCountFrequency (%)
18626 1
4.8%
18534 1
4.8%
17795 1
4.8%
16954 2
9.5%
16512 1
4.8%
16463 1
4.8%
16006 1
4.8%
15616 1
4.8%
15610 1
4.8%
15422 1
4.8%

소재지도로명주소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-14T21:57:07.291349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length24
Mean length21.619048
Min length14

Characters and Unicode

Total characters454
Distinct characters95
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row경기도 파주시 탄현면 방촌로955번길 34-58
2nd row경기도 안양시 동안구 흥안대로427번길 38 성지스타위드 1206호
3rd row경기도 김포시 대곶면 소래로 104 라동 4층
4th row경기도 남양주시 진건읍 고재로 40
5th row경기도 부천시 상동로 79
ValueCountFrequency (%)
경기도 21
 
19.8%
단원구 3
 
2.8%
안산시 3
 
2.8%
흥덕1로 2
 
1.9%
성남시 2
 
1.9%
13 2
 
1.9%
40 2
 
1.9%
화성시 2
 
1.9%
수원시 2
 
1.9%
분당구 2
 
1.9%
Other values (60) 65
61.3%
2024-03-14T21:57:08.371265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
18.7%
기 23
 
5.1%
시 22
 
4.8%
경 21
 
4.6%
도 21
 
4.6%
1 20
 
4.4%
로 18
 
4.0%
길 12
 
2.6%
구 11
 
2.4%
6 10
 
2.2%
Other values (85) 211
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
61.9%
Space Separator 85
 
18.7%
Decimal Number 84
 
18.5%
Dash Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 23
 
8.2%
시 22
 
7.8%
경 21
 
7.5%
도 21
 
7.5%
로 18
 
6.4%
길 12
 
4.3%
구 11
 
3.9%
번 10
 
3.6%
안 9
 
3.2%
성 7
 
2.5%
Other values (73) 127
45.2%
Decimal Number
ValueCountFrequency (%)
1 20
23.8%
6 10
11.9%
4 10
11.9%
3 8
 
9.5%
5 8
 
9.5%
0 7
 
8.3%
2 6
 
7.1%
9 6
 
7.1%
7 5
 
6.0%
8 4
 
4.8%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
61.9%
Common 173
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 23
 
8.2%
시 22
 
7.8%
경 21
 
7.5%
도 21
 
7.5%
로 18
 
6.4%
길 12
 
4.3%
구 11
 
3.9%
번 10
 
3.6%
안 9
 
3.2%
성 7
 
2.5%
Other values (73) 127
45.2%
Common
ValueCountFrequency (%)
85
49.1%
1 20
 
11.6%
6 10
 
5.8%
4 10
 
5.8%
3 8
 
4.6%
5 8
 
4.6%
0 7
 
4.0%
2 6
 
3.5%
9 6
 
3.5%
7 5
 
2.9%
Other values (2) 8
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
61.9%
ASCII 173
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
49.1%
1 20
 
11.6%
6 10
 
5.8%
4 10
 
5.8%
3 8
 
4.6%
5 8
 
4.6%
0 7
 
4.0%
2 6
 
3.5%
9 6
 
3.5%
7 5
 
2.9%
Other values (2) 8
 
4.6%
Hangul
ValueCountFrequency (%)
기 23
 
8.2%
시 22
 
7.8%
경 21
 
7.5%
도 21
 
7.5%
로 18
 
6.4%
길 12
 
4.3%
구 11
 
3.9%
번 10
 
3.6%
안 9
 
3.2%
성 7
 
2.5%
Other values (73) 127
45.2%

소재지지번주소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-14T21:57:09.198616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length21.571429
Min length17

Characters and Unicode

Total characters453
Distinct characters86
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row경기도 파주시 탄현면 문지리 616
2nd row경기도 안양시 동안구 관양동 954-6
3rd row경기도 김포시 대곶면 송마리 61-2
4th row경기도 남양주시 진건읍 배양리 513-5번지
5th row경기도 부천시 상동 544-9번지
ValueCountFrequency (%)
경기도 21
 
20.4%
단원구 3
 
2.9%
안산시 3
 
2.9%
수원시 2
 
1.9%
동안구 2
 
1.9%
안양시 2
 
1.9%
성곡동 2
 
1.9%
용인시 2
 
1.9%
화성시 2
 
1.9%
야탑동 2
 
1.9%
Other values (55) 62
60.2%
2024-03-14T21:57:10.270058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
 
18.1%
기 23
 
5.1%
시 22
 
4.9%
경 21
 
4.6%
도 21
 
4.6%
지 19
 
4.2%
번 18
 
4.0%
동 16
 
3.5%
- 13
 
2.9%
6 13
 
2.9%
Other values (76) 205
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
62.0%
Space Separator 82
 
18.1%
Decimal Number 77
 
17.0%
Dash Punctuation 13
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 23
 
8.2%
시 22
 
7.8%
경 21
 
7.5%
도 21
 
7.5%
지 19
 
6.8%
번 18
 
6.4%
동 16
 
5.7%
구 11
 
3.9%
안 7
 
2.5%
양 7
 
2.5%
Other values (64) 116
41.3%
Decimal Number
ValueCountFrequency (%)
6 13
16.9%
1 11
14.3%
4 11
14.3%
5 10
13.0%
3 10
13.0%
0 7
9.1%
7 5
 
6.5%
2 4
 
5.2%
8 3
 
3.9%
9 3
 
3.9%
Space Separator
ValueCountFrequency (%)
82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
62.0%
Common 172
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 23
 
8.2%
시 22
 
7.8%
경 21
 
7.5%
도 21
 
7.5%
지 19
 
6.8%
번 18
 
6.4%
동 16
 
5.7%
구 11
 
3.9%
안 7
 
2.5%
양 7
 
2.5%
Other values (64) 116
41.3%
Common
ValueCountFrequency (%)
82
47.7%
- 13
 
7.6%
6 13
 
7.6%
1 11
 
6.4%
4 11
 
6.4%
5 10
 
5.8%
3 10
 
5.8%
0 7
 
4.1%
7 5
 
2.9%
2 4
 
2.3%
Other values (2) 6
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
62.0%
ASCII 172
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
47.7%
- 13
 
7.6%
6 13
 
7.6%
1 11
 
6.4%
4 11
 
6.4%
5 10
 
5.8%
3 10
 
5.8%
0 7
 
4.1%
7 5
 
2.9%
2 4
 
2.3%
Other values (2) 6
 
3.5%
Hangul
ValueCountFrequency (%)
기 23
 
8.2%
시 22
 
7.8%
경 21
 
7.5%
도 21
 
7.5%
지 19
 
6.8%
번 18
 
6.4%
동 16
 
5.7%
구 11
 
3.9%
안 7
 
2.5%
양 7
 
2.5%
Other values (64) 116
41.3%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.383471
Minimum37.05365
Maximum37.826759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-14T21:57:10.481824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.05365
5-th percentile37.091092
Q137.271658
median37.368551
Q337.41078
95-th percentile37.720091
Maximum37.826759
Range0.77310926
Interquartile range (IQR)0.1391215

Descriptive statistics

Standard deviation0.19774017
Coefficient of variation (CV)0.0052895081
Kurtosis0.23790666
Mean37.383471
Median Absolute Deviation (MAD)0.09689319
Skewness0.58020378
Sum785.05288
Variance0.039101176
MonotonicityNot monotonic
2024-03-14T21:57:10.817568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
37.82675925 1
 
4.8%
37.39307324 1
 
4.8%
37.36855122 1
 
4.8%
37.29229237 1
 
4.8%
37.3134201 1
 
4.8%
37.30267531 1
 
4.8%
37.1354445 1
 
4.8%
37.41077953 1
 
4.8%
37.72009057 1
 
4.8%
37.27101973 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
37.05364999 1
4.8%
37.09109245 1
4.8%
37.1354445 1
4.8%
37.27084866 1
4.8%
37.27101973 1
4.8%
37.27165803 1
4.8%
37.29229237 1
4.8%
37.30267531 1
4.8%
37.3134201 1
4.8%
37.32189549 1
4.8%
ValueCountFrequency (%)
37.82675925 1
4.8%
37.72009057 1
4.8%
37.65606718 1
4.8%
37.63599736 1
4.8%
37.50417771 1
4.8%
37.41077953 1
4.8%
37.40700339 1
4.8%
37.40544023 1
4.8%
37.40094495 1
4.8%
37.39307324 1
4.8%

경도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.90879
Minimum126.57503
Maximum127.16812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-14T21:57:11.182172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.57503
5-th percentile126.57691
Q1126.76094
median126.95505
Q3127.06611
95-th percentile127.14637
Maximum127.16812
Range0.5930874
Interquartile range (IQR)0.3051706

Descriptive statistics

Standard deviation0.17858461
Coefficient of variation (CV)0.0014071887
Kurtosis-0.83004391
Mean126.90879
Median Absolute Deviation (MAD)0.1443715
Skewness-0.39109735
Sum2665.0846
Variance0.031892464
MonotonicityNot monotonic
2024-03-14T21:57:11.558058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
126.7265614 1
 
4.8%
126.9725798 1
 
4.8%
126.8106748 1
 
4.8%
127.0674464 1
 
4.8%
126.7293117 1
 
4.8%
126.7738018 1
 
4.8%
126.8856345 1
 
4.8%
127.1297968 1
 
4.8%
126.5750335 1
 
4.8%
127.0663459 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
126.5750335 1
4.8%
126.5769055 1
4.8%
126.7265614 1
4.8%
126.7293117 1
4.8%
126.7522991 1
4.8%
126.7609384 1
4.8%
126.7738018 1
4.8%
126.8106748 1
4.8%
126.8856345 1
4.8%
126.953344 1
4.8%
ValueCountFrequency (%)
127.1681209 1
4.8%
127.1463712 1
4.8%
127.1297968 1
4.8%
127.0674464 1
4.8%
127.0663459 1
4.8%
127.066109 1
4.8%
127.0128374 1
4.8%
126.9908314 1
4.8%
126.9725798 1
4.8%
126.9646284 1
4.8%

전화번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-14T21:57:12.328550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.380952
Min length11

Characters and Unicode

Total characters260
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

Unique21 ?
Unique (%)100.0%

Sample

1st row031-903-3857
2nd row031-345-0321
3rd row031-981-5049
4th row0507-1429-9577
5th row032-343-3968
ValueCountFrequency (%)
031-903-3857 1
 
4.8%
070-5102-6704 1
 
4.8%
070-7545-7080 1
 
4.8%
02-575-0433 1
 
4.8%
031-432-4380 1
 
4.8%
031-352-7601 1
 
4.8%
031-781-3500 1
 
4.8%
031-989-7886 1
 
4.8%
031-8005-5505 1
 
4.8%
031-476-6356 1
 
4.8%
Other values (11) 11
52.4%
2024-03-14T21:57:13.439757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46
17.7%
- 42
16.2%
3 34
13.1%
1 24
9.2%
7 24
9.2%
5 20
7.7%
8 17
 
6.5%
4 16
 
6.2%
6 16
 
6.2%
9 14
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 218
83.8%
Dash Punctuation 42
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
21.1%
3 34
15.6%
1 24
11.0%
7 24
11.0%
5 20
9.2%
8 17
 
7.8%
4 16
 
7.3%
6 16
 
7.3%
9 14
 
6.4%
2 7
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 260
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46
17.7%
- 42
16.2%
3 34
13.1%
1 24
9.2%
7 24
9.2%
5 20
7.7%
8 17
 
6.5%
4 16
 
6.2%
6 16
 
6.2%
9 14
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46
17.7%
- 42
16.2%
3 34
13.1%
1 24
9.2%
7 24
9.2%
5 20
7.7%
8 17
 
6.5%
4 16
 
6.2%
6 16
 
6.2%
9 14
 
5.4%

홈페이지
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing2
Missing (%)9.5%
Memory size296.0 B
2024-03-14T21:57:14.121477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28
Mean length19.368421
Min length12

Characters and Unicode

Total characters368
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)100.0%

Sample

1st rowwww.plpump.co.kr
2nd rowwww.gnitec.com
3rd rowhttp://www.ledpower.co.kr/main/main.html
4th rowhttps://hanin0315299577.modoo.at/
5th rowjs2012.co.kr
ValueCountFrequency (%)
www.plpump.co.kr 1
 
5.3%
www.enensol.co.kr 1
 
5.3%
www.e2value.co.kr 1
 
5.3%
http://www.hydrokorea.co.kr 1
 
5.3%
http://heemangho.com 1
 
5.3%
www.testonic.co.kr 1
 
5.3%
www.orientaldream.co.kr 1
 
5.3%
www.tourok.kr 1
 
5.3%
www.bdenv.com 1
 
5.3%
www.eco-device.co.kr 1
 
5.3%
Other values (9) 9
47.4%
2024-03-14T21:57:15.075527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 45
 
12.2%
w 43
 
11.7%
o 33
 
9.0%
t 22
 
6.0%
c 21
 
5.7%
e 20
 
5.4%
r 19
 
5.2%
n 16
 
4.3%
k 16
 
4.3%
/ 16
 
4.3%
Other values (23) 117
31.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 285
77.4%
Other Punctuation 67
 
18.2%
Decimal Number 15
 
4.1%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 43
15.1%
o 33
11.6%
t 22
 
7.7%
c 21
 
7.4%
e 20
 
7.0%
r 19
 
6.7%
n 16
 
5.6%
k 16
 
5.6%
m 13
 
4.6%
a 12
 
4.2%
Other values (12) 70
24.6%
Decimal Number
ValueCountFrequency (%)
2 4
26.7%
5 2
13.3%
0 2
13.3%
9 2
13.3%
7 2
13.3%
1 2
13.3%
3 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 45
67.2%
/ 16
 
23.9%
: 6
 
9.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 285
77.4%
Common 83
 
22.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 43
15.1%
o 33
11.6%
t 22
 
7.7%
c 21
 
7.4%
e 20
 
7.0%
r 19
 
6.7%
n 16
 
5.6%
k 16
 
5.6%
m 13
 
4.6%
a 12
 
4.2%
Other values (12) 70
24.6%
Common
ValueCountFrequency (%)
. 45
54.2%
/ 16
 
19.3%
: 6
 
7.2%
2 4
 
4.8%
5 2
 
2.4%
0 2
 
2.4%
9 2
 
2.4%
7 2
 
2.4%
1 2
 
2.4%
3 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 45
 
12.2%
w 43
 
11.7%
o 33
 
9.0%
t 22
 
6.0%
c 21
 
5.7%
e 20
 
5.4%
r 19
 
5.2%
n 16
 
4.3%
k 16
 
4.3%
/ 16
 
4.3%
Other values (23) 117
31.8%

등록일
Categorical

IMBALANCE 

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
2020-12-03
17 
2024-02-16
 
1
2022-07-05
 
1
2021-06-29
 
1
2021-05-03
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)19.0%

Sample

1st row2024-02-16
2nd row2022-07-05
3rd row2021-06-29
4th row2021-05-03
5th row2020-12-03

Common Values

ValueCountFrequency (%)
2020-12-03 17
81.0%
2024-02-16 1
 
4.8%
2022-07-05 1
 
4.8%
2021-06-29 1
 
4.8%
2021-05-03 1
 
4.8%

Length

2024-03-14T21:57:15.298334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:57:15.490451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-03 17
81.0%
2024-02-16 1
 
4.8%
2022-07-05 1
 
4.8%
2021-06-29 1
 
4.8%
2021-05-03 1
 
4.8%

Interactions

2024-03-14T21:57:00.209657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:56:58.733711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:56:59.453575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:57:00.450221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:56:58.960649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:56:59.696240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:57:00.712702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:56:59.212881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:56:59.955112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:57:15.643740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종업체명주생산품우편번호소재지도로명주소소재지지번주소위도경도전화번호홈페이지등록일
업종1.0001.0001.0000.6560.9110.9110.0000.2101.0001.0000.000
업체명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주생산품1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
우편번호0.6561.0001.0001.0001.0001.0000.9320.8211.0001.0000.723
소재지도로명주소0.9111.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소0.9111.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도0.0001.0001.0000.9321.0001.0001.0000.7501.0001.0000.690
경도0.2101.0001.0000.8211.0001.0000.7501.0001.0001.0000.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
등록일0.0001.0001.0000.7231.0001.0000.6900.0001.0001.0001.000
2024-03-14T21:57:15.940274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록일업종
등록일1.0000.000
업종0.0001.000
2024-03-14T21:57:16.180175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호위도경도업종등록일
우편번호1.000-0.9560.2600.3850.368
위도-0.9561.000-0.2700.0000.402
경도0.260-0.2701.0000.0000.000
업종0.3850.0000.0001.0000.000
등록일0.3680.4020.0000.0001.000

Missing values

2024-03-14T21:57:01.062127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:57:01.558434image/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

업종업체명주생산품우편번호소재지도로명주소소재지지번주소위도경도전화번호홈페이지등록일
0제조㈜풍림정공수중펌프10857경기도 파주시 탄현면 방촌로955번길 34-58경기도 파주시 탄현면 문지리 61637.826759126.726561031-903-3857www.plpump.co.kr2024-02-16
1제조(주)지앤아이테크태양광 LED교통안전제품, 경관조명기구14059경기도 안양시 동안구 흥안대로427번길 38 성지스타위드 1206호경기도 안양시 동안구 관양동 954-637.393073126.97258031-345-0321www.gnitec.com2022-07-05
2제조주식회사 엘파워LED실내조명등, LED가로등기구, LED다운라이트, LED보안등기구, LED터널용등기구, LED투광등기구10040경기도 김포시 대곶면 소래로 104 라동 4층경기도 김포시 대곶면 송마리 61-237.656067126.576905031-981-5049http://www.ledpower.co.kr/main/main.html2021-06-29
3에어컨한인공조냉난방기기 구매 및 설치공사12247경기도 남양주시 진건읍 고재로 40경기도 남양주시 진건읍 배양리 513-5번지37.635997127.1681210507-1429-9577https://hanin0315299577.modoo.at/2021-05-03
4건설지성산업개발(주)친환경수로형집수정, 소규모저류형집수정14544경기도 부천시 상동로 79경기도 부천시 상동 544-9번지37.504178126.752299032-343-3968js2012.co.kr2020-12-03
5제조레오랩쿨링 넥밴드, 쿨링 손목 밴드 등16006경기도 의왕시 이미로 40경기도 의왕시 포일동 653번지37.400945126.990831070-7680-7667www.leolab.kr2020-12-03
6청소, 소독업대원그린환경건물관리위생업 . 소독업. 냉난방기청소 .주방청소.청소용품도소매13508경기도 성남시 분당구 야탑로 251경기도 성남시 분당구 야탑동 175-4번지37.407003127.146371031-781-0365<NA>2020-12-03
7용역이지컨설턴트친환경 건축물인증 컨설팅16954경기도 용인시 기흥구 흥덕1로 13경기도 용인시 기흥구 영덕동 1005번지37.270849127.066109031-1833-7445http://www.easyct.kr2020-12-03
8제조주)나눔피엔씨골판지박스, 기능성 박스(보냉박스), 택배안전봉투, 기타 포장부자재18626경기도 화성시 양감면 사격장길 61-19경기도 화성시 양감면 사창리 1105번지37.091092126.964628031-8059-7631www.nanoompnc.com2020-12-03
9제조(주)세광산업조명LED등기구,산업용조명기구,가로등주17795경기도 평택시 청북읍 어소길 109-37경기도 평택시 청북읍 어소리 433-8번지37.05365126.955046031-683-8700http://sklighting.com2020-12-03
업종업체명주생산품우편번호소재지도로명주소소재지지번주소위도경도전화번호홈페이지등록일
11품질, 인증주식회사이투브이녹색건축인증, 건축물에너지효율등급인증, 장애물없는생활환경인증16463경기도 수원시 팔달구 향교로 114경기도 수원시 팔달구 교동 68-1번지37.271658127.012837070-5102-6704www.e2value.co.kr2020-12-03
12도소매에벤에셀유통사무용품, 전산용품, 복사지, 문구류, 종이컵, 생수컵, 핸드타올등 잡화13936경기도 안양시 동안구 관악대로275번길 62경기도 안양시 동안구 관양동 1376-26번지 대우빌라37.40544126.953344031-476-6356<NA>2020-12-03
13건설(주)이앤이솔루션SBR공법(하수고도처리,가축분뇨정화), MBR공법(하수재이용), FILTER(비점오염)16954경기도 용인시 기흥구 흥덕1로 13경기도 용인시 기흥구 영덕동 1005번지37.27102127.066346031-8005-5505www.enensol.co.kr2020-12-03
14제조백두환경산업콘크리트 정화조, 오수처리시설10022경기도 김포시 월곶면 안진골로64번길 13-46경기도 김포시 월곶면 갈산리 50번지37.720091126.575034031-989-7886www.bdenv.com2020-12-03
15용역(주)활기찬중부관광전세버스, 국내/해외 여행사업 및 항공권13506경기도 성남시 분당구 성남대로916번길 11경기도 성남시 분당구 야탑동 366-4번지37.41078127.129797031-781-3500www.tourok.kr2020-12-03
16제조(주)오리엔탈드림건축 및 농업난방용 코튼 망사형 발열체18534경기도 화성시 팔탄면 고주동방길 16경기도 화성시 팔탄면 고주리 33-2번지37.135444126.885634031-352-7601www.orientaldream.co.kr2020-12-03
17제조테스토닉에어맥스 클린매트15610경기도 안산시 단원구 산단로35번길 98경기도 안산시 단원구 목내동 406-6번지37.302675126.773802031-432-4380www.testonic.co.kr2020-12-03
18디자인 및 서비스(주)희망전시부스, 전시관, 홍보관, 박물관 제작설치, 인테리어15616경기도 안산시 단원구 번영로15번길 8경기도 안산시 단원구 성곡동 741-2번지37.31342126.72931202-575-0433http://heemangho.com2020-12-03
19건설(주)하이드로코리아하이드로 라멘교(HY-R) / 하이드로 가설교량(HY-T)16512경기도 수원시 영통구 광교중앙로 250경기도 수원시 영통구 하동 983번지37.292292127.067446070-7545-7080http://www.hydrokorea.co.kr/2020-12-03
20제조업, 석재품(주)옥산석물건축용석재품/조경용석재품/토목용석재품/자연석판석외14995경기도 시흥시 승지로60번길 36경기도 시흥시 능곡동 744번지37.368551126.810675031-499-1644osstone.co.kr2020-12-03