Overview

Dataset statistics

Number of variables9
Number of observations370
Missing cells11
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.9 KiB
Average record size in memory74.4 B

Variable types

Numeric2
Text5
DateTime1
Categorical1

Dataset

Description이 데이터는 충청남도 아산시의 산업단지 기업정보로, 기업명, 공장대표주소(지번), 최초등록일, 연락처, 종업원수, 입주단지명 등의 정보를 제공합니다.
Author충청남도 아산시
URLhttps://www.data.go.kr/data/15029008/fileData.do

Alerts

순번 is highly overall correlated with 단지명High correlation
단지명 is highly overall correlated with 순번High correlation
전화번호 has 9 (2.4%) missing valuesMissing
순번 has unique valuesUnique
종업원수 has 16 (4.3%) zerosZeros

Reproduction

Analysis started2024-05-04 07:41:38.916208
Analysis finished2024-05-04 07:41:43.089602
Duration4.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct370
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.5
Minimum1
Maximum370
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-04T07:41:43.304717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.45
Q193.25
median185.5
Q3277.75
95-th percentile351.55
Maximum370
Range369
Interquartile range (IQR)184.5

Descriptive statistics

Standard deviation106.95404
Coefficient of variation (CV)0.57657164
Kurtosis-1.2
Mean185.5
Median Absolute Deviation (MAD)92.5
Skewness0
Sum68635
Variance11439.167
MonotonicityStrictly increasing
2024-05-04T07:41:43.794982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
245 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
252 1
 
0.3%
251 1
 
0.3%
250 1
 
0.3%
249 1
 
0.3%
248 1
 
0.3%
247 1
 
0.3%
Other values (360) 360
97.3%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
370 1
0.3%
369 1
0.3%
368 1
0.3%
367 1
0.3%
366 1
0.3%
365 1
0.3%
364 1
0.3%
363 1
0.3%
362 1
0.3%
361 1
0.3%

회사명
Text

Distinct346
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-05-04T07:41:44.472283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length8.5540541
Min length2

Characters and Unicode

Total characters3165
Distinct characters289
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique325 ?
Unique (%)87.8%

Sample

1st row(주)아이지비
2nd row(주)유니테크노
3rd row디와이오토(주)
4th row주식회사 드림오토
5th row주식회사 에스엠벡셀
ValueCountFrequency (%)
주식회사 69
 
14.5%
아산공장 7
 
1.5%
태평양에어콘트롤공업(주 5
 
1.1%
주)코윈테크 4
 
0.8%
이든테크(주 3
 
0.6%
아산지점 3
 
0.6%
에스와이(주 3
 
0.6%
주)한화 2
 
0.4%
주)성곡 2
 
0.4%
주)유진기공 2
 
0.4%
Other values (353) 375
78.9%
2024-05-04T07:41:45.838735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 343
 
10.8%
( 264
 
8.3%
) 264
 
8.3%
이 142
 
4.5%
스 110
 
3.5%
에 106
 
3.3%
105
 
3.3%
사 86
 
2.7%
회 83
 
2.6%
식 81
 
2.6%
Other values (279) 1581
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2478
78.3%
Open Punctuation 264
 
8.3%
Close Punctuation 264
 
8.3%
Space Separator 105
 
3.3%
Uppercase Letter 29
 
0.9%
Decimal Number 10
 
0.3%
Other Punctuation 8
 
0.3%
Other Symbol 4
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 343
 
13.8%
이 142
 
5.7%
스 110
 
4.4%
에 106
 
4.3%
사 86
 
3.5%
회 83
 
3.3%
식 81
 
3.3%
아 47
 
1.9%
크 41
 
1.7%
엔 40
 
1.6%
Other values (246) 1399
56.5%
Uppercase Letter
ValueCountFrequency (%)
A 4
13.8%
X 3
 
10.3%
M 3
 
10.3%
S 2
 
6.9%
T 2
 
6.9%
H 2
 
6.9%
L 2
 
6.9%
N 1
 
3.4%
E 1
 
3.4%
G 1
 
3.4%
Other values (8) 8
27.6%
Decimal Number
ValueCountFrequency (%)
4 3
30.0%
1 2
20.0%
3 2
20.0%
2 2
20.0%
5 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 5
62.5%
& 2
 
25.0%
, 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
t 1
33.3%
d 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 264
100.0%
Close Punctuation
ValueCountFrequency (%)
) 264
100.0%
Space Separator
ValueCountFrequency (%)
105
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2482
78.4%
Common 651
 
20.6%
Latin 32
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 343
 
13.8%
이 142
 
5.7%
스 110
 
4.4%
에 106
 
4.3%
사 86
 
3.5%
회 83
 
3.3%
식 81
 
3.3%
아 47
 
1.9%
크 41
 
1.7%
엔 40
 
1.6%
Other values (247) 1403
56.5%
Latin
ValueCountFrequency (%)
A 4
 
12.5%
X 3
 
9.4%
M 3
 
9.4%
S 2
 
6.2%
T 2
 
6.2%
H 2
 
6.2%
L 2
 
6.2%
N 1
 
3.1%
E 1
 
3.1%
G 1
 
3.1%
Other values (11) 11
34.4%
Common
ValueCountFrequency (%)
( 264
40.6%
) 264
40.6%
105
 
16.1%
. 5
 
0.8%
4 3
 
0.5%
& 2
 
0.3%
1 2
 
0.3%
3 2
 
0.3%
2 2
 
0.3%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2478
78.3%
ASCII 683
 
21.6%
None 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 343
 
13.8%
이 142
 
5.7%
스 110
 
4.4%
에 106
 
4.3%
사 86
 
3.5%
회 83
 
3.3%
식 81
 
3.3%
아 47
 
1.9%
크 41
 
1.7%
엔 40
 
1.6%
Other values (246) 1399
56.5%
ASCII
ValueCountFrequency (%)
( 264
38.7%
) 264
38.7%
105
 
15.4%
. 5
 
0.7%
A 4
 
0.6%
X 3
 
0.4%
M 3
 
0.4%
4 3
 
0.4%
& 2
 
0.3%
S 2
 
0.3%
Other values (22) 28
 
4.1%
None
ValueCountFrequency (%)
㈜ 4
100.0%

지번주소
Text

Distinct311
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-05-04T07:41:46.523061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length48.5
Mean length23.589189
Min length19

Characters and Unicode

Total characters8728
Distinct characters112
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique269 ?
Unique (%)72.7%

Sample

1st row충청남도 아산시 도고면 신언리 817번지 (도고면 신언리 817)
2nd row충청남도 아산시 도고면 신언리 813번지
3rd row충청남도 아산시 도고면 신언리 819번지 외 1필지
4th row충청남도 아산시 도고면 신언리 812번지
5th row충청남도 아산시 도고면 신언리 823번지
ValueCountFrequency (%)
충청남도 370
19.4%
아산시 370
19.4%
둔포면 200
 
10.5%
석곡리 184
 
9.7%
음봉면 52
 
2.7%
인주면 50
 
2.6%
걸매리 48
 
2.5%
득산동 35
 
1.8%
신휴리 30
 
1.6%
외 14
 
0.7%
Other values (371) 553
29.0%
2024-05-04T07:41:47.849662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1537
17.6%
산 437
 
5.0%
아 377
 
4.3%
도 376
 
4.3%
남 374
 
4.3%
충 370
 
4.2%
시 370
 
4.2%
청 370
 
4.2%
1 362
 
4.1%
리 336
 
3.8%
Other values (102) 3819
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5500
63.0%
Space Separator 1537
 
17.6%
Decimal Number 1536
 
17.6%
Dash Punctuation 101
 
1.2%
Open Punctuation 17
 
0.2%
Close Punctuation 16
 
0.2%
Uppercase Letter 15
 
0.2%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 437
 
7.9%
아 377
 
6.9%
도 376
 
6.8%
남 374
 
6.8%
충 370
 
6.7%
시 370
 
6.7%
청 370
 
6.7%
리 336
 
6.1%
면 332
 
6.0%
지 315
 
5.7%
Other values (80) 1843
33.5%
Decimal Number
ValueCountFrequency (%)
1 362
23.6%
3 205
13.3%
2 190
12.4%
5 167
10.9%
0 165
10.7%
4 108
 
7.0%
9 105
 
6.8%
7 90
 
5.9%
6 82
 
5.3%
8 62
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
33.3%
G 2
 
13.3%
N 2
 
13.3%
S 2
 
13.3%
A 2
 
13.3%
C 1
 
6.7%
L 1
 
6.7%
Space Separator
ValueCountFrequency (%)
1537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5500
63.0%
Common 3213
36.8%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 437
 
7.9%
아 377
 
6.9%
도 376
 
6.8%
남 374
 
6.8%
충 370
 
6.7%
시 370
 
6.7%
청 370
 
6.7%
리 336
 
6.1%
면 332
 
6.0%
지 315
 
5.7%
Other values (80) 1843
33.5%
Common
ValueCountFrequency (%)
1537
47.8%
1 362
 
11.3%
3 205
 
6.4%
2 190
 
5.9%
5 167
 
5.2%
0 165
 
5.1%
4 108
 
3.4%
9 105
 
3.3%
- 101
 
3.1%
7 90
 
2.8%
Other values (5) 183
 
5.7%
Latin
ValueCountFrequency (%)
B 5
33.3%
G 2
 
13.3%
N 2
 
13.3%
S 2
 
13.3%
A 2
 
13.3%
C 1
 
6.7%
L 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5499
63.0%
ASCII 3228
37.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1537
47.6%
1 362
 
11.2%
3 205
 
6.4%
2 190
 
5.9%
5 167
 
5.2%
0 165
 
5.1%
4 108
 
3.3%
9 105
 
3.3%
- 101
 
3.1%
7 90
 
2.8%
Other values (12) 198
 
6.1%
Hangul
ValueCountFrequency (%)
산 437
 
7.9%
아 377
 
6.9%
도 376
 
6.8%
남 374
 
6.8%
충 370
 
6.7%
시 370
 
6.7%
청 370
 
6.7%
리 336
 
6.1%
면 332
 
6.0%
지 315
 
5.7%
Other values (79) 1842
33.5%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

업종명
Text

Distinct181
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-05-04T07:41:48.539124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length18.278378
Min length6

Characters and Unicode

Total characters6763
Distinct characters216
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

Unique118 ?
Unique (%)31.9%

Sample

1st row기어 및 동력전달장치 제조업
2nd row그 외 자동차용 신품 부품 제조업 외 4 종
3rd row자동차용 신품 전기장치 제조업 외 4 종
4th row그 외 자동차용 신품 부품 제조업 외 3 종
5th row자동차 엔진용 신품 부품 제조업
ValueCountFrequency (%)
제조업 330
 
14.7%
외 287
 
12.8%
종 184
 
8.2%
및 113
 
5.0%
기타 104
 
4.6%
그 103
 
4.6%
1 77
 
3.4%
신품 58
 
2.6%
기계 58
 
2.6%
자동차용 54
 
2.4%
Other values (211) 881
39.2%
2024-05-04T07:41:49.811890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1879
27.8%
제 425
 
6.3%
조 401
 
5.9%
업 396
 
5.9%
외 287
 
4.2%
기 244
 
3.6%
용 203
 
3.0%
품 192
 
2.8%
종 185
 
2.7%
및 113
 
1.7%
Other values (206) 2438
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4672
69.1%
Space Separator 1879
27.8%
Decimal Number 192
 
2.8%
Other Punctuation 20
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 425
 
9.1%
조 401
 
8.6%
업 396
 
8.5%
외 287
 
6.1%
기 244
 
5.2%
용 203
 
4.3%
품 192
 
4.1%
종 185
 
4.0%
및 113
 
2.4%
타 105
 
2.2%
Other values (196) 2121
45.4%
Decimal Number
ValueCountFrequency (%)
1 85
44.3%
3 45
23.4%
2 36
18.8%
4 18
 
9.4%
5 4
 
2.1%
7 2
 
1.0%
9 1
 
0.5%
6 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1879
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4672
69.1%
Common 2091
30.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 425
 
9.1%
조 401
 
8.6%
업 396
 
8.5%
외 287
 
6.1%
기 244
 
5.2%
용 203
 
4.3%
품 192
 
4.1%
종 185
 
4.0%
및 113
 
2.4%
타 105
 
2.2%
Other values (196) 2121
45.4%
Common
ValueCountFrequency (%)
1879
89.9%
1 85
 
4.1%
3 45
 
2.2%
2 36
 
1.7%
, 20
 
1.0%
4 18
 
0.9%
5 4
 
0.2%
7 2
 
0.1%
9 1
 
< 0.1%
6 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4672
69.1%
ASCII 2091
30.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1879
89.9%
1 85
 
4.1%
3 45
 
2.2%
2 36
 
1.7%
, 20
 
1.0%
4 18
 
0.9%
5 4
 
0.2%
7 2
 
0.1%
9 1
 
< 0.1%
6 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
제 425
 
9.1%
조 401
 
8.6%
업 396
 
8.5%
외 287
 
6.1%
기 244
 
5.2%
용 203
 
4.3%
품 192
 
4.1%
종 185
 
4.0%
및 113
 
2.4%
타 105
 
2.2%
Other values (196) 2121
45.4%

생산품
Text

Distinct339
Distinct (%)92.1%
Missing2
Missing (%)0.5%
Memory size3.0 KiB
2024-05-04T07:41:50.528022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length28
Mean length12.733696
Min length2

Characters and Unicode

Total characters4686
Distinct characters405
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique323 ?
Unique (%)87.8%

Sample

1st row고정밀 감속기
2nd rowEPS ROTOR ASSEMBLY(유사기종)
3rd row자동차용 DC모터
4th row파노라마 썬루프
5th row자동차엔진용부품
ValueCountFrequency (%)
및 29
 
3.3%
반도체 23
 
2.6%
부품 22
 
2.5%
자동차부품 20
 
2.3%
자동차 15
 
1.7%
장비 13
 
1.5%
외 11
 
1.2%
등 9
 
1.0%
제조용 9
 
1.0%
알루미늄 8
 
0.9%
Other values (577) 726
82.0%
2024-05-04T07:41:52.027343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
522
 
11.1%
, 197
 
4.2%
품 129
 
2.8%
자 105
 
2.2%
부 98
 
2.1%
용 96
 
2.0%
동 95
 
2.0%
기 92
 
2.0%
장 82
 
1.7%
차 81
 
1.7%
Other values (395) 3189
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3132
66.8%
Space Separator 522
 
11.1%
Uppercase Letter 491
 
10.5%
Lowercase Letter 250
 
5.3%
Other Punctuation 214
 
4.6%
Open Punctuation 31
 
0.7%
Close Punctuation 31
 
0.7%
Decimal Number 8
 
0.2%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 129
 
4.1%
자 105
 
3.4%
부 98
 
3.1%
용 96
 
3.1%
동 95
 
3.0%
기 92
 
2.9%
장 82
 
2.6%
차 81
 
2.6%
비 78
 
2.5%
제 69
 
2.2%
Other values (341) 2207
70.5%
Uppercase Letter
ValueCountFrequency (%)
L 50
 
10.2%
C 40
 
8.1%
E 37
 
7.5%
D 36
 
7.3%
S 31
 
6.3%
T 29
 
5.9%
I 29
 
5.9%
A 29
 
5.9%
P 28
 
5.7%
O 26
 
5.3%
Other values (13) 156
31.8%
Lowercase Letter
ValueCountFrequency (%)
e 32
12.8%
a 29
11.6%
i 21
 
8.4%
r 18
 
7.2%
l 18
 
7.2%
n 18
 
7.2%
c 15
 
6.0%
t 15
 
6.0%
s 13
 
5.2%
p 10
 
4.0%
Other values (11) 61
24.4%
Other Punctuation
ValueCountFrequency (%)
, 197
92.1%
/ 10
 
4.7%
' 4
 
1.9%
. 3
 
1.4%
Decimal Number
ValueCountFrequency (%)
2 7
87.5%
8 1
 
12.5%
Space Separator
ValueCountFrequency (%)
522
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3132
66.8%
Common 813
 
17.3%
Latin 741
 
15.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 129
 
4.1%
자 105
 
3.4%
부 98
 
3.1%
용 96
 
3.1%
동 95
 
3.0%
기 92
 
2.9%
장 82
 
2.6%
차 81
 
2.6%
비 78
 
2.5%
제 69
 
2.2%
Other values (341) 2207
70.5%
Latin
ValueCountFrequency (%)
L 50
 
6.7%
C 40
 
5.4%
E 37
 
5.0%
D 36
 
4.9%
e 32
 
4.3%
S 31
 
4.2%
T 29
 
3.9%
I 29
 
3.9%
a 29
 
3.9%
A 29
 
3.9%
Other values (34) 399
53.8%
Common
ValueCountFrequency (%)
522
64.2%
, 197
 
24.2%
( 31
 
3.8%
) 31
 
3.8%
/ 10
 
1.2%
- 7
 
0.9%
2 7
 
0.9%
' 4
 
0.5%
. 3
 
0.4%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3132
66.8%
ASCII 1554
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
522
33.6%
, 197
 
12.7%
L 50
 
3.2%
C 40
 
2.6%
E 37
 
2.4%
D 36
 
2.3%
e 32
 
2.1%
( 31
 
2.0%
) 31
 
2.0%
S 31
 
2.0%
Other values (44) 547
35.2%
Hangul
ValueCountFrequency (%)
품 129
 
4.1%
자 105
 
3.4%
부 98
 
3.1%
용 96
 
3.1%
동 95
 
3.0%
기 92
 
2.9%
장 82
 
2.6%
차 81
 
2.6%
비 78
 
2.5%
제 69
 
2.2%
Other values (341) 2207
70.5%

최초등록일
Date

Distinct344
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum1988-11-25 00:00:00
Maximum2024-03-06 00:00:00
2024-05-04T07:41:52.631854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:41:53.420464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct325
Distinct (%)90.0%
Missing9
Missing (%)2.4%
Memory size3.0 KiB
2024-05-04T07:41:54.389452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.044321
Min length11

Characters and Unicode

Total characters4348
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

Unique297 ?
Unique (%)82.3%

Sample

1st row041-547-1825
2nd row051-203-5460
3rd row041-901-4500
4th row041-533-8545
5th row041-529-7731
ValueCountFrequency (%)
041-543-2320 4
 
1.1%
041-547-2131 4
 
1.1%
041-629-3500 4
 
1.1%
041-547-3710 3
 
0.8%
041-582-6301 3
 
0.8%
062-945-0034 2
 
0.6%
041-537-7021 2
 
0.6%
041-520-1121 2
 
0.6%
041-531-9915 2
 
0.6%
041-532-1480 2
 
0.6%
Other values (315) 333
92.2%
2024-05-04T07:41:56.047167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 722
16.6%
0 702
16.1%
1 606
13.9%
4 583
13.4%
5 403
9.3%
3 348
8.0%
2 261
 
6.0%
7 200
 
4.6%
8 192
 
4.4%
6 168
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3626
83.4%
Dash Punctuation 722
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 702
19.4%
1 606
16.7%
4 583
16.1%
5 403
11.1%
3 348
9.6%
2 261
 
7.2%
7 200
 
5.5%
8 192
 
5.3%
6 168
 
4.6%
9 163
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 722
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 722
16.6%
0 702
16.1%
1 606
13.9%
4 583
13.4%
5 403
9.3%
3 348
8.0%
2 261
 
6.0%
7 200
 
4.6%
8 192
 
4.4%
6 168
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 722
16.6%
0 702
16.1%
1 606
13.9%
4 583
13.4%
5 403
9.3%
3 348
8.0%
2 261
 
6.0%
7 200
 
4.6%
8 192
 
4.4%
6 168
 
3.9%

종업원수
Real number (ℝ)

ZEROS 

Distinct125
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.85946
Minimum0
Maximum14050
Zeros16
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-04T07:41:56.786738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median28.5
Q364.5
95-th percentile247.75
Maximum14050
Range14050
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation885.4033
Coefficient of variation (CV)6.4225067
Kurtosis190.49829
Mean137.85946
Median Absolute Deviation (MAD)20.5
Skewness13.261701
Sum51008
Variance783939
MonotonicityNot monotonic
2024-05-04T07:41:57.426589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
4.3%
5 13
 
3.5%
30 13
 
3.5%
20 13
 
3.5%
10 12
 
3.2%
6 12
 
3.2%
9 11
 
3.0%
7 9
 
2.4%
11 9
 
2.4%
15 7
 
1.9%
Other values (115) 255
68.9%
ValueCountFrequency (%)
0 16
4.3%
1 1
 
0.3%
2 6
 
1.6%
3 5
 
1.4%
4 4
 
1.1%
5 13
3.5%
6 12
3.2%
7 9
2.4%
8 6
 
1.6%
9 11
3.0%
ValueCountFrequency (%)
14050 1
0.3%
8800 1
0.3%
2832 1
0.3%
2500 1
0.3%
1282 1
0.3%
1222 1
0.3%
777 1
0.3%
679 1
0.3%
531 1
0.3%
500 1
0.3%

단지명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
아산테크노밸리일반산업단지
126 
아산제2테크노밸리일반산업단지
86 
아산인주일반산업단지
50 
아산득산농공단지
36 
아산스마트밸리일반산업단지
 
12
Other values (11)
60 

Length

Max length18
Median length15
Mean length12.156757
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아산테크노밸리일반산업단지 126
34.1%
아산제2테크노밸리일반산업단지 86
23.2%
아산인주일반산업단지 50
 
13.5%
아산득산농공단지 36
 
9.7%
아산스마트밸리일반산업단지 12
 
3.2%
아산디지털일반산업단지 10
 
2.7%
아산운용일반산업단지 10
 
2.7%
아산탕정디스플레이시티1일반산업단지 9
 
2.4%
아산신창농공단지 6
 
1.6%
아산도고농공단지 5
 
1.4%
Other values (6) 20
 
5.4%

Length

2024-05-04T07:41:57.956458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아산테크노밸리일반산업단지 126
34.1%
아산제2테크노밸리일반산업단지 86
23.2%
아산인주일반산업단지 50
 
13.5%
아산득산농공단지 36
 
9.7%
아산스마트밸리일반산업단지 12
 
3.2%
아산디지털일반산업단지 10
 
2.7%
아산운용일반산업단지 10
 
2.7%
아산탕정디스플레이시티1일반산업단지 9
 
2.4%
아산신창농공단지 6
 
1.6%
아산도고농공단지 5
 
1.4%
Other values (6) 20
 
5.4%

Interactions

2024-05-04T07:41:41.144906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:41:40.404583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:41:41.458208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:41:40.723964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T07:41:58.287376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수단지명
순번1.0000.0300.905
종업원수0.0301.0000.402
단지명0.9050.4021.000
2024-05-04T07:41:58.676218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수단지명
순번1.000-0.0430.653
종업원수-0.0431.0000.215
단지명0.6530.2151.000

Missing values

2024-05-04T07:41:42.128697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T07:41:42.665688image/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.
2024-05-04T07:41:42.961287image/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

순번회사명지번주소업종명생산품최초등록일전화번호종업원수단지명
01(주)아이지비충청남도 아산시 도고면 신언리 817번지 (도고면 신언리 817)기어 및 동력전달장치 제조업고정밀 감속기2012-01-16041-547-182528아산도고농공단지
12(주)유니테크노충청남도 아산시 도고면 신언리 813번지그 외 자동차용 신품 부품 제조업 외 4 종EPS ROTOR ASSEMBLY(유사기종)2013-04-22051-203-546074아산도고농공단지
23디와이오토(주)충청남도 아산시 도고면 신언리 819번지 외 1필지자동차용 신품 전기장치 제조업 외 4 종자동차용 DC모터2011-11-02041-901-4500390아산도고농공단지
34주식회사 드림오토충청남도 아산시 도고면 신언리 812번지그 외 자동차용 신품 부품 제조업 외 3 종파노라마 썬루프2014-06-11041-533-854580아산도고농공단지
45주식회사 에스엠벡셀충청남도 아산시 도고면 신언리 823번지자동차 엔진용 신품 부품 제조업자동차엔진용부품2014-12-12041-529-7731206아산도고농공단지
56(주)제이에스엔지니어링충청남도 아산시 둔포면 관대리 34-5번지산업용 오븐, 노 및 노용 버너 제조업 외 3 종항온기, 수류탄내피, 교통신호등1995-08-11041-531-450122아산둔포농공단지
67(주)평산충청남도 아산시 둔포면 산전리 170-1번지 외 2필지공기 조화장치 제조업 외 1 종자동차 공조부품2000-03-27041-531-0600186아산둔포농공단지
78동성제약(주)충청남도 아산시 둔포면 관대리 36번지 (관대리 36-25번지)수프 및 균질화식품 제조업 외 7 종정로환, 세븐에이트1997-09-09041-420-5402130아산둔포농공단지
89한국아이티닷컴(주)충청남도 아산시 둔포면 관대리 34-5번지교통 신호장치 제조업신호등2004-04-16<NA>5아산둔포농공단지
910(주)둔포기계충청남도 아산시 영인면 신봉리 1435번지그 외 기타 전기장비 제조업산업용로봇, 자동화설비2011-08-30041-421-3905136아산둔포제2농공단지
순번회사명지번주소업종명생산품최초등록일전화번호종업원수단지명
360361케이테크충청남도 아산시 둔포면 석곡리 1364-0그 외 기타 전자부품 제조업 외 1 종반도체 부품(챔버, 노즐 외)2021-01-11041-581-81090아산테크노밸리일반산업단지
361362태창레이저충청남도 아산시 둔포면 석곡리 1506번지그 외 기타 금속가공업반도체 장비 제작, 산업기계 제작2013-07-10041-532-130023아산테크노밸리일반산업단지
362363한국앱티브커넥션시스템즈 유한책임회사충청남도 아산시 둔포면 석곡리 1483자동차용 신품 동력전달장치 제조업 외 4 종자동차용 커넥터2023-11-01031-1350-160089아산테크노밸리일반산업단지
363364한국철강공업(주)충청남도 아산시 둔포면 석곡리 1365번지일반철물 제조업베이스플레이트 U자형 BAR 등2015-10-12031-691-245113아산테크노밸리일반산업단지
364365한본인더스트리주식회사충청남도 아산시 둔포면 석곡리 1333번지그 외 기타 분류 안된 비금속 광물제품 제조업아스팔트방수시트, 도막방수제2012-09-18041-532-170736아산테크노밸리일반산업단지
365366한산스크류주식회사충청남도 아산시 둔포면 석곡리 1327번지볼트 및 너트류 제조업 외 2 종스테인레스 세척볼트2017-05-01041-532-17369아산테크노밸리일반산업단지
366367한수테크니칼서비스(주)충청남도 아산시 둔포면 석곡리 1485번지액체 여과기 제조업초순수제조장치, 폐수재활용장치, 무방류시스템2012-06-05031-789-170058아산테크노밸리일반산업단지
367368한화로보틱스(주)충청남도 아산시 둔포면 석곡리 1547그 외 기타 특수목적용 기계 제조업AGV2024-01-24031-8016-510112아산테크노밸리일반산업단지
368369한화에어로스페이스(주)충청남도 아산시 둔포면 석곡리 1512번지그 외 기타 전기장비 제조업 외 2 종NC Die Cushion, 항공기용유압부품2013-01-16041-538-7544490아산테크노밸리일반산업단지
369370화인솔루션(주) 지점충청남도 아산시 둔포면 석곡리 1327번지그 외 자동차용 신품 부품 제조업 외 3 종폴리우레탄성형폼2013-02-01041-545-21018아산테크노밸리일반산업단지