Overview

Dataset statistics

Number of variables9
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory77.5 B

Variable types

Numeric3
Categorical2
Text4

Dataset

Description충청북도 증평군 증평산업단지, 증평2산업단지, 도안농공단지, 증평농공단지에 입주한 기업 현황을 제공합니다.
URLhttps://www.data.go.kr/data/15028953/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
번호 is highly overall correlated with 단지명High correlation
용지면적 is highly overall correlated with 건축면적High correlation
건축면적 is highly overall correlated with 용지면적High correlation
단지명 is highly overall correlated with 번호High correlation
건축면적 has unique valuesUnique
용지면적 has 5 (9.4%) zerosZeros

Reproduction

Analysis started2023-12-12 08:59:25.330561
Analysis finished2023-12-12 08:59:27.412850
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION 

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.150943
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-12T17:59:27.576989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q117
median30
Q343
95-th percentile51
Maximum53
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.853168
Coefficient of variation (CV)0.54383035
Kurtosis-1.1734054
Mean29.150943
Median Absolute Deviation (MAD)13
Skewness-0.19062722
Sum1545
Variance251.32293
MonotonicityNot monotonic
2023-12-12T17:59:28.154205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51 2
 
3.8%
50 2
 
3.8%
49 2
 
3.8%
1 1
 
1.9%
41 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
Other values (40) 40
75.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
53 1
1.9%
52 1
1.9%
51 2
3.8%
50 2
3.8%
49 2
3.8%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%

단지명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
증평2일반산업단지
36 
증평일반산업단지
10 
도안농공단지
5 
증평농공단지
 
2

Length

Max length9
Median length9
Mean length8.4150943
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
증평2일반산업단지 36
67.9%
증평일반산업단지 10
 
18.9%
도안농공단지 5
 
9.4%
증평농공단지 2
 
3.8%

Length

2023-12-12T17:59:28.372227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:28.531804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
증평2일반산업단지 36
67.9%
증평일반산업단지 10
 
18.9%
도안농공단지 5
 
9.4%
증평농공단지 2
 
3.8%

회사명
Text

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T17:59:28.805670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.8113208
Min length5

Characters and Unicode

Total characters467
Distinct characters144
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

Unique47 ?
Unique (%)88.7%

Sample

1st row(주)성도피엔에이
2nd row(주)신성이엔지
3rd row(주)엠티에스코퍼레이션
4th row대림통상(주)
5th row미래씨앤엘 주식회사
ValueCountFrequency (%)
주식회사 11
 
16.7%
주)엠티에스코퍼레이션 2
 
3.0%
퓨엠 2
 
3.0%
넥스플렉스 2
 
3.0%
성보산업(주 1
 
1.5%
주)성도피엔에이 1
 
1.5%
조인패스 1
 
1.5%
주)하영시스템 1
 
1.5%
주)한인엠시티 1
 
1.5%
농업회사법인 1
 
1.5%
Other values (43) 43
65.2%
2023-12-12T17:59:29.347236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 52
 
11.1%
( 40
 
8.6%
) 40
 
8.6%
스 17
 
3.6%
이 15
 
3.2%
회 13
 
2.8%
사 13
 
2.8%
13
 
2.8%
에 12
 
2.6%
식 12
 
2.6%
Other values (134) 240
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 374
80.1%
Open Punctuation 40
 
8.6%
Close Punctuation 40
 
8.6%
Space Separator 13
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 52
 
13.9%
스 17
 
4.5%
이 15
 
4.0%
회 13
 
3.5%
사 13
 
3.5%
에 12
 
3.2%
식 12
 
3.2%
코 6
 
1.6%
티 5
 
1.3%
크 5
 
1.3%
Other values (131) 224
59.9%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 374
80.1%
Common 93
 
19.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 52
 
13.9%
스 17
 
4.5%
이 15
 
4.0%
회 13
 
3.5%
사 13
 
3.5%
에 12
 
3.2%
식 12
 
3.2%
코 6
 
1.6%
티 5
 
1.3%
크 5
 
1.3%
Other values (131) 224
59.9%
Common
ValueCountFrequency (%)
( 40
43.0%
) 40
43.0%
13
 
14.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 374
80.1%
ASCII 93
 
19.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 52
 
13.9%
스 17
 
4.5%
이 15
 
4.0%
회 13
 
3.5%
사 13
 
3.5%
에 12
 
3.2%
식 12
 
3.2%
코 6
 
1.6%
티 5
 
1.3%
크 5
 
1.3%
Other values (131) 224
59.9%
ASCII
ValueCountFrequency (%)
( 40
43.0%
) 40
43.0%
13
 
14.0%

대표자명
Text

Distinct49
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T17:59:29.674768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.9622642
Min length3

Characters and Unicode

Total characters210
Distinct characters84
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)84.9%

Sample

1st row김규형
2nd row이지선,안윤수
3rd row손유성
4th row손병국
5th row김민철
ValueCountFrequency (%)
손유성 2
 
3.3%
김창호 2
 
3.3%
박광순 2
 
3.3%
박동원 2
 
3.3%
송재범 2
 
3.3%
김사무엘상현 1
 
1.6%
박동철 1
 
1.6%
이창엽 1
 
1.6%
김규형 1
 
1.6%
홍기영 1
 
1.6%
Other values (46) 46
75.4%
2023-12-12T17:59:30.199582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 13
 
6.2%
박 10
 
4.8%
, 10
 
4.8%
8
 
3.8%
이 8
 
3.8%
수 6
 
2.9%
현 6
 
2.9%
영 6
 
2.9%
호 5
 
2.4%
창 5
 
2.4%
Other values (74) 133
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
91.4%
Other Punctuation 10
 
4.8%
Space Separator 8
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 13
 
6.8%
박 10
 
5.2%
이 8
 
4.2%
수 6
 
3.1%
현 6
 
3.1%
영 6
 
3.1%
호 5
 
2.6%
창 5
 
2.6%
원 5
 
2.6%
성 5
 
2.6%
Other values (72) 123
64.1%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
91.4%
Common 18
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 13
 
6.8%
박 10
 
5.2%
이 8
 
4.2%
수 6
 
3.1%
현 6
 
3.1%
영 6
 
3.1%
호 5
 
2.6%
창 5
 
2.6%
원 5
 
2.6%
성 5
 
2.6%
Other values (72) 123
64.1%
Common
ValueCountFrequency (%)
, 10
55.6%
8
44.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
91.4%
ASCII 18
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 13
 
6.8%
박 10
 
5.2%
이 8
 
4.2%
수 6
 
3.1%
현 6
 
3.1%
영 6
 
3.1%
호 5
 
2.6%
창 5
 
2.6%
원 5
 
2.6%
성 5
 
2.6%
Other values (72) 123
64.1%
ASCII
ValueCountFrequency (%)
, 10
55.6%
8
44.4%

공장대표주소(지번)
Text

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T17:59:30.516663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length23.924528
Min length20

Characters and Unicode

Total characters1268
Distinct characters83
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

Unique47 ?
Unique (%)88.7%

Sample

1st row충청북도 증평군 증평읍 미암리 1044번지 한국철강증평공장 제2공장(박막형 공장)
2nd row충청북도 증평군 증평읍 미암리 1040
3rd row충청북도 증평군 증평읍 미암리 1071 SK아이이테크놀로지
4th row충청북도 증평군 증평읍 미암리 1039번지
5th row충청북도 증평군 증평읍 미암리 1037번지
ValueCountFrequency (%)
충청북도 53
18.0%
증평군 53
18.0%
도안면 41
13.9%
노암리 36
12.2%
증평읍 12
 
4.1%
미암리 10
 
3.4%
광덕리 5
 
1.7%
외 4
 
1.4%
1필지 3
 
1.0%
산 3
 
1.0%
Other values (68) 75
25.4%
2023-12-12T17:59:30.998805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
19.1%
도 94
 
7.4%
증 66
 
5.2%
평 66
 
5.2%
청 54
 
4.3%
리 54
 
4.3%
충 53
 
4.2%
북 53
 
4.2%
군 53
 
4.2%
암 46
 
3.6%
Other values (73) 487
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 797
62.9%
Space Separator 242
 
19.1%
Decimal Number 198
 
15.6%
Dash Punctuation 11
 
0.9%
Open Punctuation 9
 
0.7%
Close Punctuation 9
 
0.7%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 94
11.8%
증 66
 
8.3%
평 66
 
8.3%
청 54
 
6.8%
리 54
 
6.8%
충 53
 
6.6%
북 53
 
6.6%
군 53
 
6.6%
암 46
 
5.8%
면 41
 
5.1%
Other values (57) 217
27.2%
Decimal Number
ValueCountFrequency (%)
9 41
20.7%
1 34
17.2%
0 33
16.7%
2 22
11.1%
4 15
 
7.6%
3 13
 
6.6%
7 12
 
6.1%
6 11
 
5.6%
5 11
 
5.6%
8 6
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 797
62.9%
Common 469
37.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 94
11.8%
증 66
 
8.3%
평 66
 
8.3%
청 54
 
6.8%
리 54
 
6.8%
충 53
 
6.6%
북 53
 
6.6%
군 53
 
6.6%
암 46
 
5.8%
면 41
 
5.1%
Other values (57) 217
27.2%
Common
ValueCountFrequency (%)
242
51.6%
9 41
 
8.7%
1 34
 
7.2%
0 33
 
7.0%
2 22
 
4.7%
4 15
 
3.2%
3 13
 
2.8%
7 12
 
2.6%
- 11
 
2.3%
6 11
 
2.3%
Other values (4) 35
 
7.5%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 797
62.9%
ASCII 471
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
51.4%
9 41
 
8.7%
1 34
 
7.2%
0 33
 
7.0%
2 22
 
4.7%
4 15
 
3.2%
3 13
 
2.8%
7 12
 
2.5%
- 11
 
2.3%
6 11
 
2.3%
Other values (6) 37
 
7.9%
Hangul
ValueCountFrequency (%)
도 94
11.8%
증 66
 
8.3%
평 66
 
8.3%
청 54
 
6.8%
리 54
 
6.8%
충 53
 
6.6%
북 53
 
6.6%
군 53
 
6.6%
암 46
 
5.8%
면 41
 
5.1%
Other values (57) 217
27.2%

생산품
Text

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T17:59:31.358960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length24
Mean length15.849057
Min length2

Characters and Unicode

Total characters840
Distinct characters255
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)96.2%

Sample

1st row선물세트
2nd rowAHU(공기조화기), OAC(외기조화기), V-Master/CV-Master(휘발성물질 제거장비)
3rd row2차전지 분리막
4th row수전금구류
5th rowLED조명, 태양광 발전장치 제조, 교통신호장치
ValueCountFrequency (%)
등 7
 
4.6%
외 6
 
4.0%
및 4
 
2.6%
소포장 2
 
1.3%
fccl 2
 
1.3%
분말(파우더 2
 
1.3%
캡슐 2
 
1.3%
아사이베리 1
 
0.7%
카카오닙스 1
 
0.7%
양념육 1
 
0.7%
Other values (123) 123
81.5%
2023-12-12T17:59:31.891221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
11.7%
, 48
 
5.7%
스 19
 
2.3%
기 16
 
1.9%
) 14
 
1.7%
C 14
 
1.7%
( 14
 
1.7%
장 13
 
1.5%
e 13
 
1.5%
품 12
 
1.4%
Other values (245) 579
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 517
61.5%
Space Separator 98
 
11.7%
Uppercase Letter 64
 
7.6%
Lowercase Letter 61
 
7.3%
Other Punctuation 52
 
6.2%
Close Punctuation 14
 
1.7%
Open Punctuation 14
 
1.7%
Decimal Number 14
 
1.7%
Dash Punctuation 5
 
0.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 19
 
3.7%
기 16
 
3.1%
장 13
 
2.5%
품 12
 
2.3%
리 12
 
2.3%
용 11
 
2.1%
전 10
 
1.9%
지 10
 
1.9%
육 8
 
1.5%
이 8
 
1.5%
Other values (196) 398
77.0%
Uppercase Letter
ValueCountFrequency (%)
C 14
21.9%
S 8
12.5%
H 6
9.4%
M 5
 
7.8%
F 5
 
7.8%
V 4
 
6.2%
L 4
 
6.2%
A 3
 
4.7%
E 2
 
3.1%
P 2
 
3.1%
Other values (9) 11
17.2%
Lowercase Letter
ValueCountFrequency (%)
e 13
21.3%
r 7
11.5%
a 7
11.5%
t 7
11.5%
l 6
9.8%
i 4
 
6.6%
s 4
 
6.6%
o 3
 
4.9%
h 3
 
4.9%
n 2
 
3.3%
Other values (4) 5
 
8.2%
Decimal Number
ValueCountFrequency (%)
2 4
28.6%
6 3
21.4%
3 3
21.4%
8 1
 
7.1%
4 1
 
7.1%
1 1
 
7.1%
0 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 48
92.3%
/ 2
 
3.8%
% 1
 
1.9%
. 1
 
1.9%
Space Separator
ValueCountFrequency (%)
98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 517
61.5%
Common 198
 
23.6%
Latin 125
 
14.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 19
 
3.7%
기 16
 
3.1%
장 13
 
2.5%
품 12
 
2.3%
리 12
 
2.3%
용 11
 
2.1%
전 10
 
1.9%
지 10
 
1.9%
육 8
 
1.5%
이 8
 
1.5%
Other values (196) 398
77.0%
Latin
ValueCountFrequency (%)
C 14
 
11.2%
e 13
 
10.4%
S 8
 
6.4%
r 7
 
5.6%
a 7
 
5.6%
t 7
 
5.6%
H 6
 
4.8%
l 6
 
4.8%
M 5
 
4.0%
F 5
 
4.0%
Other values (23) 47
37.6%
Common
ValueCountFrequency (%)
98
49.5%
, 48
24.2%
) 14
 
7.1%
( 14
 
7.1%
- 5
 
2.5%
2 4
 
2.0%
6 3
 
1.5%
3 3
 
1.5%
/ 2
 
1.0%
+ 1
 
0.5%
Other values (6) 6
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 517
61.5%
ASCII 323
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
30.3%
, 48
14.9%
) 14
 
4.3%
C 14
 
4.3%
( 14
 
4.3%
e 13
 
4.0%
S 8
 
2.5%
r 7
 
2.2%
a 7
 
2.2%
t 7
 
2.2%
Other values (39) 93
28.8%
Hangul
ValueCountFrequency (%)
스 19
 
3.7%
기 16
 
3.1%
장 13
 
2.5%
품 12
 
2.3%
리 12
 
2.3%
용 11
 
2.1%
전 10
 
1.9%
지 10
 
1.9%
육 8
 
1.5%
이 8
 
1.5%
Other values (196) 398
77.0%

용지면적
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct49
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22357.623
Minimum0
Maximum172177.6
Zeros5
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-12T17:59:32.072277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14132
median7971.01
Q323206.3
95-th percentile92423.118
Maximum172177.6
Range172177.6
Interquartile range (IQR)19074.3

Descriptive statistics

Standard deviation35675.861
Coefficient of variation (CV)1.5956911
Kurtosis7.9881165
Mean22357.623
Median Absolute Deviation (MAD)5874.01
Skewness2.7619936
Sum1184954
Variance1.272767 × 109
MonotonicityNot monotonic
2023-12-12T17:59:32.238668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 5
 
9.4%
7971.01 1
 
1.9%
9783.8 1
 
1.9%
4132.0 1
 
1.9%
4617.8 1
 
1.9%
2097.0 1
 
1.9%
43664.4 1
 
1.9%
8526.1 1
 
1.9%
7616.3 1
 
1.9%
4251.0 1
 
1.9%
Other values (39) 39
73.6%
ValueCountFrequency (%)
0.0 5
9.4%
887.1 1
 
1.9%
2097.0 1
 
1.9%
2222.6 1
 
1.9%
2879.9 1
 
1.9%
3376.0 1
 
1.9%
3529.5 1
 
1.9%
3548.0 1
 
1.9%
3675.4 1
 
1.9%
4132.0 1
 
1.9%
ValueCountFrequency (%)
172177.6 1
1.9%
149115.2 1
1.9%
101443.2 1
1.9%
86409.73 1
1.9%
81693.0 1
1.9%
66432.4 1
1.9%
43664.4 1
1.9%
42908.7 1
1.9%
33273.3 1
1.9%
32076.9 1
1.9%

건축면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11044.329
Minimum161.5
Maximum98839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-12T17:59:32.421551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum161.5
5-th percentile583.016
Q11583.44
median3840.92
Q313095.59
95-th percentile38093.309
Maximum98839
Range98677.5
Interquartile range (IQR)11512.15

Descriptive statistics

Standard deviation17252.28
Coefficient of variation (CV)1.562094
Kurtosis12.800055
Mean11044.329
Median Absolute Deviation (MAD)3089.23
Skewness3.1884348
Sum585349.43
Variance2.9764116 × 108
MonotonicityNot monotonic
2023-12-12T17:59:32.611442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8346.5 1
 
1.9%
1583.44 1
 
1.9%
848.43 1
 
1.9%
1047.68 1
 
1.9%
2891.7 1
 
1.9%
2097.0 1
 
1.9%
56040.09 1
 
1.9%
3945.61 1
 
1.9%
2976.16 1
 
1.9%
684.0 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
161.5 1
1.9%
379.5 1
1.9%
431.54 1
1.9%
684.0 1
1.9%
751.69 1
1.9%
848.43 1
1.9%
1043.445 1
1.9%
1047.68 1
1.9%
1158.5 1
1.9%
1168.4 1
1.9%
ValueCountFrequency (%)
98839.0 1
1.9%
56040.09 1
1.9%
38784.63 1
1.9%
37632.429 1
1.9%
36200.11 1
1.9%
32675.76 1
1.9%
30054.63 1
1.9%
22152.68 1
1.9%
18442.435 1
1.9%
15900.0 1
1.9%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-06-23
53 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-23
2nd row2023-06-23
3rd row2023-06-23
4th row2023-06-23
5th row2023-06-23

Common Values

ValueCountFrequency (%)
2023-06-23 53
100.0%

Length

2023-12-12T17:59:32.773856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:32.878867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-23 53
100.0%

Interactions

2023-12-12T17:59:26.747892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:26.047053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:26.355784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:26.860427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:26.133269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:26.487519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:26.980366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:26.261310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:26.625349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:59:32.952049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호단지명회사명대표자명공장대표주소(지번)생산품용지면적건축면적
번호1.0000.9150.8140.9000.7480.9000.3290.368
단지명0.9151.0000.8830.9241.0000.9020.8300.445
회사명0.8140.8831.0001.0000.9851.0001.0000.000
대표자명0.9000.9241.0001.0000.9631.0000.9950.000
공장대표주소(지번)0.7481.0000.9850.9631.0000.9890.9930.975
생산품0.9000.9021.0001.0000.9891.0001.0000.000
용지면적0.3290.8301.0000.9950.9931.0001.0000.846
건축면적0.3680.4450.0000.0000.9750.0000.8461.000
2023-12-12T17:59:33.162736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호용지면적건축면적단지명
번호1.000-0.145-0.3040.758
용지면적-0.1451.0000.7940.477
건축면적-0.3040.7941.0000.297
단지명0.7580.4770.2971.000

Missing values

2023-12-12T17:59:27.139642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:59:27.336872image/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

번호단지명회사명대표자명공장대표주소(지번)생산품용지면적건축면적데이터 기준일자
01증평일반산업단지(주)성도피엔에이김규형충청북도 증평군 증평읍 미암리 1044번지 한국철강증평공장 제2공장(박막형 공장)선물세트7971.018346.52023-06-23
12증평일반산업단지(주)신성이엔지이지선,안윤수충청북도 증평군 증평읍 미암리 1040AHU(공기조화기), OAC(외기조화기), V-Master/CV-Master(휘발성물질 제거장비)42908.713095.592023-06-23
23증평일반산업단지(주)엠티에스코퍼레이션손유성충청북도 증평군 증평읍 미암리 1071 SK아이이테크놀로지2차전지 분리막0.013235.02023-06-23
34증평일반산업단지대림통상(주)손병국충청북도 증평군 증평읍 미암리 1039번지수전금구류101443.236200.112023-06-23
45증평일반산업단지미래씨앤엘 주식회사김민철충청북도 증평군 증평읍 미암리 1037번지LED조명, 태양광 발전장치 제조, 교통신호장치33273.37590.672023-06-23
56증평일반산업단지신우콘크리트산업(주)김은수, 김동우충청북도 증평군 증평읍 미암리 1036 (주) 청우프리캐스트 콘크리트32076.915171.972023-06-23
67증평일반산업단지에스디바이오센서 주식회사이효근, 허태영충청북도 증평군 증평읍 미암리 1045 신성홀딩스Standard M SARS-CoV-2 외27813.232675.762023-06-23
78증평일반산업단지에스케이아이이테크놀로지(주)노재석충청북도 증평군 증평읍 미암리 1071번지LiBS, 투명폴리이미드필름149115.298839.02023-06-23
89증평일반산업단지주식회사 넥스플렉스박동원충청북도 증평군 증평읍 미암리 1071-1번지 외 1필지FCCL19606.922152.682023-06-23
910증평일반산업단지한국철강(주)증평공장문종인,이수하충청북도 증평군 증평읍 미암리 1044번지결정질 태양전지 모듈86409.7312674.62023-06-23
번호단지명회사명대표자명공장대표주소(지번)생산품용지면적건축면적데이터 기준일자
4347증평2일반산업단지주식회사 퓨엠송재범충청북도 증평군 도안면 노암리 935산업용 가스, PET(Polyethlene terephthalate)4430.6161.52023-06-23
4448증평2일반산업단지주식회사 퓨엠송재범충청북도 증평군 도안면 노암리 906-010%GeH4+H2, Si2H6, C3H6, C3F8, C3F6, RF-series 등10617.91704.392023-06-23
4549증평2일반산업단지주식회사 한백티에프오세형충청북도 증평군 도안면 노암리 916쇠고기맛플러스, 육수용소스5354.13840.922023-06-23
4650증평2일반산업단지코파마테크주식회사최겸우충청북도 증평군 도안면 노암리 767-0 (주)코파마테크탄산리튬미순쇄품9222.01468.822023-06-23
4751증평2일반산업단지현대종합특수강(주)이상원충청북도 증평군 도안면 노암리 902CHQ Wire 등172177.637632.4292023-06-23
4849도안농공단지(주)케이피에스김창호충청북도 증평군 도안면 광덕리 451-0의약외품(비말마스크 외), 공업용마스크0.0379.52023-06-23
4950도안농공단지(주)풀무원녹즙박성후, 박광순충청북도 증평군 도안면 광덕리 457-13유기명일엽녹즙 외18416.09506.72023-06-23
5051도안농공단지(주)한국알미늄김창호충청북도 증평군 도안면 광덕리 457 외 1필지알미늄호일/식품포장지30236.018442.4352023-06-23
5152도안농공단지롯데웰푸드(주)이창엽충청북도 증평군 도안면 광덕리 456-1빵류16044.09365.252023-06-23
5253도안농공단지풀무원건강생활(주)오경림, 박광순충청북도 증평군 도안면 광덕리 456건강기능식품, 로젠빈 수 등17797.014133.192023-06-23