Overview

Dataset statistics

Number of variables17
Number of observations36
Missing cells109
Missing cells (%)17.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory145.7 B

Variable types

Categorical6
Text5
Numeric3
Unsupported3

Dataset

Description판교테크노밸리_입주기업현황
Author경기도경제과학진흥원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=NJVHYSJVPWLBDME019OC30935294&infSeq=1

Alerts

시군명 has constant value ""Constant
테크노밸리용지유형 has constant value ""Constant
표준산업분류코드 is highly overall correlated with 주력업종High correlation
임대면적 is highly overall correlated with 컨소시엄명High correlation
컨소시엄명 is highly overall correlated with 임대면적 and 1 other fieldsHigh correlation
주력업종 is highly overall correlated with 표준산업분류코드High correlation
기업규모 is highly overall correlated with 컨소시엄명High correlation
홈페이지 has 1 (2.8%) missing valuesMissing
정제우편번호 has 36 (100.0%) missing valuesMissing
정제WGS84위도 has 36 (100.0%) missing valuesMissing
정제WGS84경도 has 36 (100.0%) missing valuesMissing
정제우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
정제WGS84위도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
정제WGS84경도 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:18:19.186626
Analysis finished2023-12-10 22:18:21.190232
Duration2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
성남시
36 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 36
100.0%

Length

2023-12-11T07:18:21.245911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:21.328346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성남시 36
100.0%

테크노밸리용지유형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
행정재산
36 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행정재산 36
100.0%

Length

2023-12-11T07:18:21.423003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:21.525951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정재산 36
100.0%

컨소시엄명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
스타트업캠퍼스
22 
글로벌R&D센터
8 
경기창조경제혁신센터
6 

Length

Max length10
Median length7
Mean length7.7222222
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
스타트업캠퍼스 22
61.1%
글로벌R&D센터 8
 
22.2%
경기창조경제혁신센터 6
 
16.7%

Length

2023-12-11T07:18:21.622324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:21.717097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
스타트업캠퍼스 22
61.1%
글로벌r&d센터 8
 
22.2%
경기창조경제혁신센터 6
 
16.7%

기업명
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T07:18:21.913250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length11
Mean length9.2777778
Min length3

Characters and Unicode

Total characters334
Distinct characters137
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)94.4%

Sample

1st row카페할로나
2nd row(주)케이브레인컴퍼니
3rd row(주)소사코리아
4th row육군교육사령부
5th row주식회사 코리아세븐
ValueCountFrequency (%)
주식회사 4
 
9.5%
경기창조경제혁신센터 2
 
4.8%
지이파워서비스코리아 1
 
2.4%
경기테크노파크 1
 
2.4%
한국전자통신연구원 1
 
2.4%
한국전자기술연구원 1
 
2.4%
싸토리우스코리아바이오텍(주 1
 
2.4%
sw정책연구소 1
 
2.4%
원텍(주 1
 
2.4%
코리아경기도(주 1
 
2.4%
Other values (28) 28
66.7%
2023-12-11T07:18:22.328037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 13
 
3.9%
기 11
 
3.3%
원 10
 
3.0%
( 10
 
3.0%
) 10
 
3.0%
사 9
 
2.7%
이 8
 
2.4%
코 8
 
2.4%
아 7
 
2.1%
경 7
 
2.1%
Other values (127) 241
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
90.4%
Open Punctuation 10
 
3.0%
Close Punctuation 10
 
3.0%
Space Separator 6
 
1.8%
Uppercase Letter 5
 
1.5%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
4.3%
기 11
 
3.6%
원 10
 
3.3%
사 9
 
3.0%
이 8
 
2.6%
코 8
 
2.6%
아 7
 
2.3%
경 7
 
2.3%
리 7
 
2.3%
신 7
 
2.3%
Other values (118) 215
71.2%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
C 1
20.0%
I 1
20.0%
W 1
20.0%
S 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
90.7%
Common 26
 
7.8%
Latin 5
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
4.3%
기 11
 
3.6%
원 10
 
3.3%
사 9
 
3.0%
이 8
 
2.6%
코 8
 
2.6%
아 7
 
2.3%
경 7
 
2.3%
리 7
 
2.3%
신 7
 
2.3%
Other values (119) 216
71.3%
Latin
ValueCountFrequency (%)
T 1
20.0%
C 1
20.0%
I 1
20.0%
W 1
20.0%
S 1
20.0%
Common
ValueCountFrequency (%)
( 10
38.5%
) 10
38.5%
6
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
90.4%
ASCII 31
 
9.3%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 13
 
4.3%
기 11
 
3.6%
원 10
 
3.3%
사 9
 
3.0%
이 8
 
2.6%
코 8
 
2.6%
아 7
 
2.3%
경 7
 
2.3%
리 7
 
2.3%
신 7
 
2.3%
Other values (118) 215
71.2%
ASCII
ValueCountFrequency (%)
( 10
32.3%
) 10
32.3%
6
19.4%
T 1
 
3.2%
C 1
 
3.2%
I 1
 
3.2%
W 1
 
3.2%
S 1
 
3.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업종분류
Text

Distinct32
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T07:18:22.566864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length9
Mean length7.0555556
Min length2

Characters and Unicode

Total characters254
Distinct characters89
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)80.6%

Sample

1st row음식점업
2nd row경영컨설팅
3rd row창업컨설팅
4th row국방
5th row편의점
ValueCountFrequency (%)
및 5
 
9.4%
의학 3
 
5.7%
약학 3
 
5.7%
연구개발업 3
 
5.7%
스타트업지원 2
 
3.8%
기타엔지니어링 2
 
3.8%
서비스 2
 
3.8%
의료기기 1
 
1.9%
변리사업 1
 
1.9%
국책사업선정평가관리 1
 
1.9%
Other values (30) 30
56.6%
2023-12-11T07:18:22.869418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
6.7%
업 12
 
4.7%
기 10
 
3.9%
스 8
 
3.1%
비 8
 
3.1%
개 7
 
2.8%
발 7
 
2.8%
의 6
 
2.4%
서 6
 
2.4%
학 6
 
2.4%
Other values (79) 167
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 232
91.3%
Space Separator 17
 
6.7%
Other Punctuation 3
 
1.2%
Uppercase Letter 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 12
 
5.2%
기 10
 
4.3%
스 8
 
3.4%
비 8
 
3.4%
개 7
 
3.0%
발 7
 
3.0%
의 6
 
2.6%
서 6
 
2.6%
학 6
 
2.6%
사 6
 
2.6%
Other values (75) 156
67.2%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 232
91.3%
Common 20
 
7.9%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 12
 
5.2%
기 10
 
4.3%
스 8
 
3.4%
비 8
 
3.4%
개 7
 
3.0%
발 7
 
3.0%
의 6
 
2.6%
서 6
 
2.6%
학 6
 
2.6%
사 6
 
2.6%
Other values (75) 156
67.2%
Common
ValueCountFrequency (%)
17
85.0%
, 3
 
15.0%
Latin
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 232
91.3%
ASCII 22
 
8.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
77.3%
, 3
 
13.6%
I 1
 
4.5%
T 1
 
4.5%
Hangul
ValueCountFrequency (%)
업 12
 
5.2%
기 10
 
4.3%
스 8
 
3.4%
비 8
 
3.4%
개 7
 
3.0%
발 7
 
3.0%
의 6
 
2.6%
서 6
 
2.6%
학 6
 
2.6%
사 6
 
2.6%
Other values (75) 156
67.2%

표준산업분류코드
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67670.75
Minimum10791
Maximum85709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T07:18:22.978490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10791
5-th percentile18524.25
Q168584.5
median71531
Q384229
95-th percentile84229
Maximum85709
Range74918
Interquartile range (IQR)15644.5

Descriptive statistics

Standard deviation21216.117
Coefficient of variation (CV)0.31351976
Kurtosis1.7466535
Mean67670.75
Median Absolute Deviation (MAD)12698
Skewness-1.5790849
Sum2436147
Variance4.5012362 × 108
MonotonicityNot monotonic
2023-12-11T07:18:23.074171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
84229 13
36.1%
71531 5
 
13.9%
70113 4
 
11.1%
10791 2
 
5.6%
46599 2
 
5.6%
70121 2
 
5.6%
46800 1
 
2.8%
63999 1
 
2.8%
73909 1
 
2.8%
27199 1
 
2.8%
Other values (4) 4
 
11.1%
ValueCountFrequency (%)
10791 2
5.6%
21102 1
 
2.8%
27199 1
 
2.8%
46599 2
5.6%
46800 1
 
2.8%
58222 1
 
2.8%
63999 1
 
2.8%
70113 4
11.1%
70121 2
5.6%
71101 1
 
2.8%
ValueCountFrequency (%)
85709 1
 
2.8%
84229 13
36.1%
73909 1
 
2.8%
71531 5
 
13.9%
71101 1
 
2.8%
70121 2
 
5.6%
70113 4
 
11.1%
63999 1
 
2.8%
58222 1
 
2.8%
46800 1
 
2.8%

주력업종
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
서비스
23 
IT
4 
바이오
3 
BT
3 
국방
 
1
Other values (2)
 
2

Length

Max length4
Median length3
Mean length2.8055556
Min length2

Unique

Unique3 ?
Unique (%)8.3%

Sample

1st row서비스
2nd row서비스
3rd row서비스
4th row국방
5th row서비스

Common Values

ValueCountFrequency (%)
서비스 23
63.9%
IT 4
 
11.1%
바이오 3
 
8.3%
BT 3
 
8.3%
국방 1
 
2.8%
<NA> 1
 
2.8%
통신업 1
 
2.8%

Length

2023-12-11T07:18:23.191253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:23.294826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서비스 23
63.9%
it 4
 
11.1%
바이오 3
 
8.3%
bt 3
 
8.3%
국방 1
 
2.8%
na 1
 
2.8%
통신업 1
 
2.8%

기업규모
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
중소기업
15 
<NA>
15 
중견기업
4 
소기업
 
1
대기업
 
1

Length

Max length4
Median length4
Mean length3.9444444
Min length3

Unique

Unique2 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
중소기업 15
41.7%
<NA> 15
41.7%
중견기업 4
 
11.1%
소기업 1
 
2.8%
대기업 1
 
2.8%

Length

2023-12-11T07:18:23.402567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:23.511184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중소기업 15
41.7%
na 15
41.7%
중견기업 4
 
11.1%
소기업 1
 
2.8%
대기업 1
 
2.8%

기업분류
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
일반법인
19 
<NA>
15 
비영리
2 

Length

Max length4
Median length4
Mean length3.9444444
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반법인 19
52.8%
<NA> 15
41.7%
비영리 2
 
5.6%

Length

2023-12-11T07:18:23.634251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:18:23.747663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반법인 19
52.8%
na 15
41.7%
비영리 2
 
5.6%

사업장주소재지도로명주소
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T07:18:23.996187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length25.416667
Min length15

Characters and Unicode

Total characters915
Distinct characters98
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)88.9%

Sample

1st row경기도 성남시 분당구 판교로 289번길 20, 1층
2nd row서울특별시 마포구 성암로 330, 323호
3rd row서울특별시 마포구 성지길 36-12, 2층
4th row대전광역시 유성구 유성대로1163번길 24, 사서함 78-100호
5th row서울특별시 중구 청계천로 100 시그니처타워 4층
ValueCountFrequency (%)
경기도 21
 
10.1%
성남시 17
 
8.2%
분당구 16
 
7.7%
유성구 6
 
2.9%
서울특별시 6
 
2.9%
대전광역시 6
 
2.9%
대왕판교로712번길 5
 
2.4%
1층 5
 
2.4%
20 5
 
2.4%
대왕판교로 4
 
1.9%
Other values (92) 116
56.0%
2023-12-11T07:18:24.341187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
171
 
18.7%
2 41
 
4.5%
로 36
 
3.9%
시 36
 
3.9%
1 32
 
3.5%
구 32
 
3.5%
성 27
 
3.0%
, 25
 
2.7%
대 22
 
2.4%
도 22
 
2.4%
Other values (88) 471
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 526
57.5%
Decimal Number 190
 
20.8%
Space Separator 171
 
18.7%
Other Punctuation 25
 
2.7%
Dash Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 36
 
6.8%
시 36
 
6.8%
구 32
 
6.1%
성 27
 
5.1%
대 22
 
4.2%
도 22
 
4.2%
기 21
 
4.0%
경 21
 
4.0%
길 20
 
3.8%
당 18
 
3.4%
Other values (74) 271
51.5%
Decimal Number
ValueCountFrequency (%)
2 41
21.6%
1 32
16.8%
0 20
10.5%
8 17
8.9%
4 16
 
8.4%
5 15
 
7.9%
3 14
 
7.4%
7 13
 
6.8%
6 11
 
5.8%
9 11
 
5.8%
Space Separator
ValueCountFrequency (%)
171
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 526
57.5%
Common 388
42.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 36
 
6.8%
시 36
 
6.8%
구 32
 
6.1%
성 27
 
5.1%
대 22
 
4.2%
도 22
 
4.2%
기 21
 
4.0%
경 21
 
4.0%
길 20
 
3.8%
당 18
 
3.4%
Other values (74) 271
51.5%
Common
ValueCountFrequency (%)
171
44.1%
2 41
 
10.6%
1 32
 
8.2%
, 25
 
6.4%
0 20
 
5.2%
8 17
 
4.4%
4 16
 
4.1%
5 15
 
3.9%
3 14
 
3.6%
7 13
 
3.4%
Other values (3) 24
 
6.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 526
57.5%
ASCII 389
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
171
44.0%
2 41
 
10.5%
1 32
 
8.2%
, 25
 
6.4%
0 20
 
5.1%
8 17
 
4.4%
4 16
 
4.1%
5 15
 
3.9%
3 14
 
3.6%
7 13
 
3.3%
Other values (4) 25
 
6.4%
Hangul
ValueCountFrequency (%)
로 36
 
6.8%
시 36
 
6.8%
구 32
 
6.1%
성 27
 
5.1%
대 22
 
4.2%
도 22
 
4.2%
기 21
 
4.0%
경 21
 
4.0%
길 20
 
3.8%
당 18
 
3.4%
Other values (74) 271
51.5%

사업장주소재지지번주소
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T07:18:24.615115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38.5
Mean length29.888889
Min length15

Characters and Unicode

Total characters1076
Distinct characters141
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)94.4%

Sample

1st row경기도 성남시 분당구 삼평동 698 판교테크노밸리 스타트업 캠퍼스 1층
2nd row서울특별시 마포구 상암동 1580 DMC첨단산업센터 323호
3rd row서울특별시 마포구 합정동 375-13 꾸머빌딩 2층
4th row대전광역시 유성구 자운로 사서함 78-100호
5th row서울특별시 중구 청계천로 100 시그니처타워 4층
ValueCountFrequency (%)
경기도 21
 
8.8%
분당구 17
 
7.1%
성남시 17
 
7.1%
삼평동 14
 
5.9%
대전광역시 6
 
2.5%
판교테크노밸리 6
 
2.5%
서울특별시 6
 
2.5%
유성구 6
 
2.5%
1층 5
 
2.1%
696-1 4
 
1.7%
Other values (109) 136
57.1%
2023-12-11T07:18:25.002080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
 
18.8%
동 39
 
3.6%
시 37
 
3.4%
구 35
 
3.3%
1 31
 
2.9%
6 27
 
2.5%
기 26
 
2.4%
경 26
 
2.4%
성 24
 
2.2%
도 23
 
2.1%
Other values (131) 606
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 653
60.7%
Space Separator 202
 
18.8%
Decimal Number 176
 
16.4%
Other Punctuation 19
 
1.8%
Uppercase Letter 14
 
1.3%
Dash Punctuation 12
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
6.0%
시 37
 
5.7%
구 35
 
5.4%
기 26
 
4.0%
경 26
 
4.0%
성 24
 
3.7%
도 23
 
3.5%
남 19
 
2.9%
층 18
 
2.8%
분 17
 
2.6%
Other values (111) 389
59.6%
Decimal Number
ValueCountFrequency (%)
1 31
17.6%
6 27
15.3%
2 22
12.5%
8 19
10.8%
9 17
9.7%
0 15
8.5%
3 14
8.0%
4 11
 
6.2%
5 11
 
6.2%
7 9
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
D 5
35.7%
R 4
28.6%
I 2
 
14.3%
B 1
 
7.1%
M 1
 
7.1%
C 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 15
78.9%
& 4
 
21.1%
Space Separator
ValueCountFrequency (%)
202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 653
60.7%
Common 409
38.0%
Latin 14
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
6.0%
시 37
 
5.7%
구 35
 
5.4%
기 26
 
4.0%
경 26
 
4.0%
성 24
 
3.7%
도 23
 
3.5%
남 19
 
2.9%
층 18
 
2.8%
분 17
 
2.6%
Other values (111) 389
59.6%
Common
ValueCountFrequency (%)
202
49.4%
1 31
 
7.6%
6 27
 
6.6%
2 22
 
5.4%
8 19
 
4.6%
9 17
 
4.2%
, 15
 
3.7%
0 15
 
3.7%
3 14
 
3.4%
- 12
 
2.9%
Other values (4) 35
 
8.6%
Latin
ValueCountFrequency (%)
D 5
35.7%
R 4
28.6%
I 2
 
14.3%
B 1
 
7.1%
M 1
 
7.1%
C 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 653
60.7%
ASCII 423
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
47.8%
1 31
 
7.3%
6 27
 
6.4%
2 22
 
5.2%
8 19
 
4.5%
9 17
 
4.0%
, 15
 
3.5%
0 15
 
3.5%
3 14
 
3.3%
- 12
 
2.8%
Other values (10) 49
 
11.6%
Hangul
ValueCountFrequency (%)
동 39
 
6.0%
시 37
 
5.7%
구 35
 
5.4%
기 26
 
4.0%
경 26
 
4.0%
성 24
 
3.7%
도 23
 
3.5%
남 19
 
2.9%
층 18
 
2.8%
분 17
 
2.6%
Other values (111) 389
59.6%

설립년도
Real number (ℝ)

Distinct19
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2008.3889
Minimum1981
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T07:18:25.113222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1981
5-th percentile1990
Q12000.75
median2011
Q32017.25
95-th percentile2019
Maximum2021
Range40
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation10.260264
Coefficient of variation (CV)0.0051087038
Kurtosis0.01035879
Mean2008.3889
Median Absolute Deviation (MAD)7.5
Skewness-0.80754409
Sum72302
Variance105.27302
MonotonicityNot monotonic
2023-12-11T07:18:25.217588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2019 6
16.7%
2005 3
 
8.3%
2014 3
 
8.3%
2016 3
 
8.3%
1999 3
 
8.3%
2004 2
 
5.6%
2018 2
 
5.6%
2000 2
 
5.6%
2011 2
 
5.6%
2017 1
 
2.8%
Other values (9) 9
25.0%
ValueCountFrequency (%)
1981 1
 
2.8%
1987 1
 
2.8%
1991 1
 
2.8%
1995 1
 
2.8%
1999 3
8.3%
2000 2
5.6%
2001 1
 
2.8%
2002 1
 
2.8%
2004 2
5.6%
2005 3
8.3%
ValueCountFrequency (%)
2021 1
 
2.8%
2019 6
16.7%
2018 2
 
5.6%
2017 1
 
2.8%
2016 3
8.3%
2015 1
 
2.8%
2014 3
8.3%
2011 2
 
5.6%
2010 1
 
2.8%
2005 3
8.3%

홈페이지
Text

MISSING 

Distinct34
Distinct (%)97.1%
Missing1
Missing (%)2.8%
Memory size420.0 B
2023-12-11T07:18:25.433694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length18
Min length10

Characters and Unicode

Total characters630
Distinct characters31
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

Unique33 ?
Unique (%)94.3%

Sample

1st rowwww.halona.co.kr
2nd rowwww.kbrainc.com
3rd rowtradoc.mil.kr
4th rowwww.7-eleven.co.kr
5th rowkhsa.or.kr
ValueCountFrequency (%)
ccei.creativekorea.or.kr/gyeonggi 2
 
5.7%
https://www.ge.com 1
 
2.9%
www.gtp.or.kr 1
 
2.9%
www.etri.re.kr 1
 
2.9%
www.keti.re.kr 1
 
2.9%
www.sartorius.co.kr 1
 
2.9%
www.spri.kr 1
 
2.9%
www.wtlaser.com 1
 
2.9%
www.kgcbrand.com 1
 
2.9%
https://www.bisichem.com/default 1
 
2.9%
Other values (24) 24
68.6%
2023-12-11T07:18:25.749516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 91
14.4%
. 86
13.7%
r 46
 
7.3%
o 45
 
7.1%
e 33
 
5.2%
i 32
 
5.1%
c 30
 
4.8%
k 30
 
4.8%
a 29
 
4.6%
t 27
 
4.3%
Other values (21) 181
28.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 509
80.8%
Other Punctuation 117
 
18.6%
Decimal Number 3
 
0.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 91
17.9%
r 46
 
9.0%
o 45
 
8.8%
e 33
 
6.5%
i 32
 
6.3%
c 30
 
5.9%
k 30
 
5.9%
a 29
 
5.7%
t 27
 
5.3%
s 19
 
3.7%
Other values (14) 127
25.0%
Other Punctuation
ValueCountFrequency (%)
. 86
73.5%
/ 25
 
21.4%
: 6
 
5.1%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
4 1
33.3%
7 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 509
80.8%
Common 121
 
19.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 91
17.9%
r 46
 
9.0%
o 45
 
8.8%
e 33
 
6.5%
i 32
 
6.3%
c 30
 
5.9%
k 30
 
5.9%
a 29
 
5.7%
t 27
 
5.3%
s 19
 
3.7%
Other values (14) 127
25.0%
Common
ValueCountFrequency (%)
. 86
71.1%
/ 25
 
20.7%
: 6
 
5.0%
2 1
 
0.8%
4 1
 
0.8%
7 1
 
0.8%
- 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 91
14.4%
. 86
13.7%
r 46
 
7.3%
o 45
 
7.1%
e 33
 
5.2%
i 32
 
5.1%
c 30
 
4.8%
k 30
 
4.8%
a 29
 
4.6%
t 27
 
4.3%
Other values (21) 181
28.7%

임대면적
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2270.4617
Minimum111.18
Maximum12430.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T07:18:25.860061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum111.18
5-th percentile159.7975
Q1291.2925
median1025.635
Q33165.0525
95-th percentile6610.125
Maximum12430.22
Range12319.04
Interquartile range (IQR)2873.76

Descriptive statistics

Standard deviation2707.481
Coefficient of variation (CV)1.1924804
Kurtosis4.5112516
Mean2270.4617
Median Absolute Deviation (MAD)845.925
Skewness1.9101403
Sum81736.62
Variance7330453.1
MonotonicityNot monotonic
2023-12-11T07:18:25.964700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
284.94 2
 
5.6%
193.36 1
 
2.8%
6240.45 1
 
2.8%
5015.14 1
 
2.8%
7719.15 1
 
2.8%
4997.45 1
 
2.8%
2306.09 1
 
2.8%
5078.6 1
 
2.8%
2555.8 1
 
2.8%
2839.17 1
 
2.8%
Other values (25) 25
69.4%
ValueCountFrequency (%)
111.18 1
2.8%
114.04 1
2.8%
175.05 1
2.8%
184.37 1
2.8%
193.36 1
2.8%
254.0 1
2.8%
265.14 1
2.8%
284.94 2
5.6%
293.41 1
2.8%
333.66 1
2.8%
ValueCountFrequency (%)
12430.22 1
2.8%
7719.15 1
2.8%
6240.45 1
2.8%
5472.1 1
2.8%
5078.6 1
2.8%
5015.14 1
2.8%
4997.45 1
2.8%
4367.66 1
2.8%
3611.61 1
2.8%
3016.2 1
2.8%

정제우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

정제WGS84위도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

정제WGS84경도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

Interactions

2023-12-11T07:18:20.626423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:18:19.891882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:18:20.370308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:18:20.707109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:18:20.202590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:18:20.459888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:18:20.798667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:18:20.290555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:18:20.547139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:18:26.056815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
컨소시엄명기업명업종분류표준산업분류코드주력업종기업규모기업분류사업장주소재지도로명주소사업장주소재지지번주소설립년도홈페이지임대면적
컨소시엄명1.0000.3910.9230.4440.7840.5310.0001.0001.0000.5220.4440.666
기업명0.3911.0001.0001.0001.0001.0001.0000.9890.9931.0001.0001.000
업종분류0.9231.0001.0001.0001.0001.0001.0000.9931.0000.9671.0000.958
표준산업분류코드0.4441.0001.0001.0000.7590.5610.0000.9801.0000.0001.0000.496
주력업종0.7841.0001.0000.7591.0000.0000.0001.0001.0000.2401.0000.523
기업규모0.5311.0001.0000.5610.0001.0000.0001.0001.0000.3851.0000.746
기업분류0.0001.0001.0000.0000.0000.0001.0001.0001.0000.2451.0000.000
사업장주소재지도로명주소1.0000.9890.9930.9801.0001.0001.0001.0001.0000.9750.9880.662
사업장주소재지지번주소1.0000.9931.0001.0001.0001.0001.0001.0001.0000.9500.9930.709
설립년도0.5221.0000.9670.0000.2400.3850.2450.9750.9501.0001.0000.432
홈페이지0.4441.0001.0001.0001.0001.0001.0000.9880.9931.0001.0001.000
임대면적0.6661.0000.9580.4960.5230.7460.0000.6620.7090.4321.0001.000
2023-12-11T07:18:26.161671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기업분류컨소시엄명주력업종기업규모
기업분류1.0000.0000.0000.000
컨소시엄명0.0001.0000.4380.514
주력업종0.0000.4381.0000.000
기업규모0.0000.5140.0001.000
2023-12-11T07:18:26.236887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
표준산업분류코드설립년도임대면적컨소시엄명주력업종기업규모기업분류
표준산업분류코드1.000-0.0800.1870.2980.5460.3600.000
설립년도-0.0801.000-0.2960.3200.4100.2970.258
임대면적0.187-0.2961.0000.5330.3310.3740.000
컨소시엄명0.2980.3200.5331.0000.4380.5140.000
주력업종0.5460.4100.3310.4381.0000.0000.000
기업규모0.3600.2970.3740.5140.0001.0000.000
기업분류0.0000.2580.0000.0000.0000.0001.000

Missing values

2023-12-11T07:18:20.924697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:18:21.109350image/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

시군명테크노밸리용지유형컨소시엄명기업명업종분류표준산업분류코드주력업종기업규모기업분류사업장주소재지도로명주소사업장주소재지지번주소설립년도홈페이지임대면적정제우편번호정제WGS84위도정제WGS84경도
0성남시행정재산스타트업캠퍼스카페할로나음식점업10791서비스소기업일반법인경기도 성남시 분당구 판교로 289번길 20, 1층경기도 성남시 분당구 삼평동 698 판교테크노밸리 스타트업 캠퍼스 1층2019www.halona.co.kr193.36<NA><NA><NA>
1성남시행정재산스타트업캠퍼스(주)케이브레인컴퍼니경영컨설팅71531서비스중소기업일반법인서울특별시 마포구 성암로 330, 323호서울특별시 마포구 상암동 1580 DMC첨단산업센터 323호2010www.kbrainc.com1216.73<NA><NA><NA>
2성남시행정재산스타트업캠퍼스(주)소사코리아창업컨설팅71531서비스중소기업일반법인서울특별시 마포구 성지길 36-12, 2층서울특별시 마포구 합정동 375-13 꾸머빌딩 2층2019<NA>933.86<NA><NA><NA>
3성남시행정재산스타트업캠퍼스육군교육사령부국방84229국방<NA><NA>대전광역시 유성구 유성대로1163번길 24, 사서함 78-100호대전광역시 유성구 자운로 사서함 78-100호1981tradoc.mil.kr175.05<NA><NA><NA>
4성남시행정재산스타트업캠퍼스주식회사 코리아세븐편의점46800서비스대기업일반법인서울특별시 중구 청계천로 100 시그니처타워 4층서울특별시 중구 청계천로 100 시그니처타워 4층1999www.7-eleven.co.kr293.41<NA><NA><NA>
5성남시행정재산스타트업캠퍼스한국건강기능식품협회기술검사서비스71531서비스중소기업비영리경기도 성남시 분당구 대왕판교로 700, B동 102호경기도 성남시 분당구 삼평동 694-1, B동 102호2004khsa.or.kr350.95<NA><NA><NA>
6성남시행정재산스타트업캠퍼스주식회사 셀렌진의학 및 약학 연구개발업70113바이오중소기업일반법인경기도 성남시 분당구 대왕판교로712번길 16경기도 성남시 분당구 삼평동 6962019www.cellengene.com333.66<NA><NA><NA>
7성남시행정재산스타트업캠퍼스도시공유플랫폼 주식회사정보서비스업63999서비스중소기업일반법인경기도 성남시 분당구 판교로289번길 20경기도 성남시 분당구 삼평동 698번지 1동 8층2018www.aissgo24.com111.18<NA><NA><NA>
8성남시행정재산스타트업캠퍼스방위사업청임대84229<NA><NA><NA>경기도 과천시 관문로 47 정부과천청사 3동, 4동경기도 과천시 관문로 47 정부과천청사 3동, 4동2005http://www.dapa.go.kr/dapa/main.do336.11<NA><NA><NA>
9성남시행정재산스타트업캠퍼스비씨캠의학 및 약학 연구개발업70113바이오중소기업일반법인경기도 성남시 분당구 판교로 289번길 20, 5층경기도 성남시 분당구 판교로 289번길 20, 5층2017https://www.bisichem.com/default/852.64<NA><NA><NA>
시군명테크노밸리용지유형컨소시엄명기업명업종분류표준산업분류코드주력업종기업규모기업분류사업장주소재지도로명주소사업장주소재지지번주소설립년도홈페이지임대면적정제우편번호정제WGS84위도정제WGS84경도
26성남시행정재산글로벌R&D센터지이파워서비스코리아기타엔지니어링46599서비스중견기업일반법인경기도 성남시 분당구 대왕판교로712번길 22, 1층경기도 성남시 분당구 삼평동 696-1 판교테크노밸리 글로벌 R&D센터, 1층2000https://www.ge.com/2555.8<NA><NA><NA>
27성남시행정재산스타트업캠퍼스정보통신산업진흥원비영리 IT관련 서비스업84229서비스<NA><NA>충청북도 진천군 덕산면 정통로 10충청북도 진천군 덕산읍 두촌리 2603 정보통신산업진흥원2000www.nipa.kr2839.17<NA><NA><NA>
28성남시행정재산스타트업캠퍼스경기창조경제혁신센터스타트업지원84229서비스<NA><NA>경기도 성남시 분당구 대왕판교로 645번길 12, 1동 5층, 3동 1층경기도 성남시 분당구 삼평동 629 경기창조경제혁신센터, 1동 5층, 3동 1층2014ccei.creativekorea.or.kr/gyeonggi/3016.2<NA><NA><NA>
29성남시행정재산스타트업캠퍼스한국지능정보사회진흥원빅데이터인프라제공84229서비스<NA><NA>대구광역시 동구 첨단로 53대구광역시 동구 신서동 1143번지1987www.nia.or.kr1384.44<NA><NA><NA>
30성남시행정재산스타트업캠퍼스정보통신기획평가원(그랜드ICT연구지원센터)국책사업선정평가관리84229IT<NA><NA>대전광역시 유성구 유성대로 1548대전광역시 유성구 화암동 58-4 정보통신기획평가원2019www.iitp.kr2693.98<NA><NA><NA>
31성남시행정재산스타트업캠퍼스특허법인 엠에이피에스변리사업71101서비스중소기업일반법인서울특별시 강남구 테헤란로8길 37, 8층서울특별시 강남구 역삼동 828-7 한동빌딩 사옥 8층2011www.mapsip.com184.37<NA><NA><NA>
32성남시행정재산스타트업캠퍼스주식회사 아이비스바이오의학 및 약학 연구개발업70113바이오중소기업일반법인대전광역시 유성구 과학로 125, 315호대전광역시 유성구 어은동 52, 315호2018aevisbio.com254.0<NA><NA><NA>
33성남시행정재산스타트업캠퍼스한국청년기업가정신재단교육서비스85709서비스중소기업비영리서울특별시 서초구 서초대로45길 16, 202호서울특별시 서초구 서초동 1706-5 브이알 빌딩 202호2011www.koef.or.kr1117.41<NA><NA><NA>
34성남시행정재산스타트업캠퍼스코리아경기도(주)공동브랜드사품개발84229서비스중소기업일반법인경기도 성남시 분당구 판교로 289번길 20, 2동 6층경기도 성남시 분당구 삼평동 698 판교테크노밸리 스타트업 캠퍼스 2동 6층2016www.kgcbrand.com2430.09<NA><NA><NA>
35성남시행정재산스타트업캠퍼스(주)제제듀응용 소프트웨어 개발 및 공급58222통신업중소기업일반법인경기도 성남시 분당구 분당내곡로 159, 909호경기도 성남시 분당구 삼평동 658, 909호2019www.zezedu.com284.94<NA><NA><NA>