Overview

Dataset statistics

Number of variables9
Number of observations130
Missing cells26
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory75.0 B

Variable types

Numeric2
Text6
DateTime1

Dataset

Description인천광역시 중구 관내에 위치한 제조업공장현황에 대한 데이터 입니다.<br/><br/>파일명 인천광역시_중구_제조업공장현황<br/>파일내용 회사명, 주소, 전화번호, 업종명 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15034954&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 9 (6.9%) missing valuesMissing
팩스번호 has 17 (13.1%) missing valuesMissing
순번 has unique valuesUnique
회사명 has unique valuesUnique
종업원수 has 4 (3.1%) zerosZeros

Reproduction

Analysis started2024-03-18 03:04:01.275047
Analysis finished2024-03-18 03:04:03.051737
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.5
Minimum1
Maximum130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-18T12:04:03.112103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.45
Q133.25
median65.5
Q397.75
95-th percentile123.55
Maximum130
Range129
Interquartile range (IQR)64.5

Descriptive statistics

Standard deviation37.671829
Coefficient of variation (CV)0.57514242
Kurtosis-1.2
Mean65.5
Median Absolute Deviation (MAD)32.5
Skewness0
Sum8515
Variance1419.1667
MonotonicityStrictly increasing
2024-03-18T12:04:03.232622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
99 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
Other values (120) 120
92.3%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%

회사명
Text

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-18T12:04:03.467120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length9.0692308
Min length2

Characters and Unicode

Total characters1179
Distinct characters220
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)100.0%

Sample

1st row(주)거산피엔에프
2nd row(주)경인기계
3rd row(주)경화
4th row(주)광성기계
5th row(주)농가에프엔씨
ValueCountFrequency (%)
주식회사 13
 
8.1%
ltd 3
 
1.9%
co 3
 
1.9%
주)선앤엘(sun&l 3
 
1.9%
유한회사 2
 
1.2%
주)거산피엔에프 1
 
0.6%
윈윈수산식품 1
 
0.6%
우창기계공업사 1
 
0.6%
원일종합설비 1
 
0.6%
웰토 1
 
0.6%
Other values (131) 131
81.9%
2024-03-18T12:04:03.858349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 87
 
7.4%
( 81
 
6.9%
) 81
 
6.9%
공 36
 
3.1%
사 33
 
2.8%
30
 
2.5%
이 28
 
2.4%
인 27
 
2.3%
제 24
 
2.0%
스 24
 
2.0%
Other values (210) 728
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 929
78.8%
Open Punctuation 81
 
6.9%
Close Punctuation 81
 
6.9%
Space Separator 30
 
2.5%
Uppercase Letter 27
 
2.3%
Other Punctuation 15
 
1.3%
Lowercase Letter 12
 
1.0%
Decimal Number 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 87
 
9.4%
공 36
 
3.9%
사 33
 
3.6%
이 28
 
3.0%
인 27
 
2.9%
제 24
 
2.6%
스 24
 
2.6%
식 21
 
2.3%
천 21
 
2.3%
회 17
 
1.8%
Other values (185) 611
65.8%
Uppercase Letter
ValueCountFrequency (%)
L 7
25.9%
C 4
14.8%
S 4
14.8%
N 3
11.1%
U 3
11.1%
R 1
 
3.7%
B 1
 
3.7%
I 1
 
3.7%
F 1
 
3.7%
M 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
o 4
33.3%
d 3
25.0%
t 3
25.0%
p 1
 
8.3%
r 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 9
60.0%
& 3
 
20.0%
, 3
 
20.0%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
3 1
25.0%
1 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 929
78.8%
Common 211
 
17.9%
Latin 39
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 87
 
9.4%
공 36
 
3.9%
사 33
 
3.6%
이 28
 
3.0%
인 27
 
2.9%
제 24
 
2.6%
스 24
 
2.6%
식 21
 
2.3%
천 21
 
2.3%
회 17
 
1.8%
Other values (185) 611
65.8%
Latin
ValueCountFrequency (%)
L 7
17.9%
o 4
10.3%
C 4
10.3%
S 4
10.3%
d 3
7.7%
N 3
7.7%
U 3
7.7%
t 3
7.7%
p 1
 
2.6%
r 1
 
2.6%
Other values (6) 6
15.4%
Common
ValueCountFrequency (%)
( 81
38.4%
) 81
38.4%
30
 
14.2%
. 9
 
4.3%
& 3
 
1.4%
, 3
 
1.4%
2 2
 
0.9%
3 1
 
0.5%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 929
78.8%
ASCII 250
 
21.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 87
 
9.4%
공 36
 
3.9%
사 33
 
3.6%
이 28
 
3.0%
인 27
 
2.9%
제 24
 
2.6%
스 24
 
2.6%
식 21
 
2.3%
천 21
 
2.3%
회 17
 
1.8%
Other values (185) 611
65.8%
ASCII
ValueCountFrequency (%)
( 81
32.4%
) 81
32.4%
30
 
12.0%
. 9
 
3.6%
L 7
 
2.8%
o 4
 
1.6%
C 4
 
1.6%
S 4
 
1.6%
& 3
 
1.2%
, 3
 
1.2%
Other values (15) 24
 
9.6%

공장대표주소(도로명)
Text

Distinct126
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-18T12:04:04.114989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length38.5
Mean length29.338462
Min length18

Characters and Unicode

Total characters3814
Distinct characters132
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

Unique122 ?
Unique (%)93.8%

Sample

1st row인천광역시 중구 서해대로210번길 35(신흥동3가, (주)거산피엔에프)
2nd row인천광역시 중구 서해대로 307 (항동7가, 경인기계㈜)
3rd row인천광역시 중구 제물량로232번안길 23 (중앙동1가)
4th row인천광역시 중구 연안부두로115번길 21-4 (항동7가)
5th row인천광역시 중구 축항대로296번길 60-12 (신흥동3가)
ValueCountFrequency (%)
인천광역시 130
19.2%
중구 130
19.2%
신흥동3가 46
 
6.8%
항동7가 41
 
6.1%
축항대로296번길 15
 
2.2%
북성동1가 12
 
1.8%
외 10
 
1.5%
연안부두로75번길 8
 
1.2%
월미로 8
 
1.2%
운서동 8
 
1.2%
Other values (191) 268
39.6%
2024-03-18T12:04:04.485570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
546
 
14.3%
중 136
 
3.6%
인 135
 
3.5%
동 135
 
3.5%
천 133
 
3.5%
광 131
 
3.4%
시 131
 
3.4%
역 130
 
3.4%
구 130
 
3.4%
1 128
 
3.4%
Other values (122) 2079
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2209
57.9%
Decimal Number 728
 
19.1%
Space Separator 546
 
14.3%
Open Punctuation 115
 
3.0%
Close Punctuation 115
 
3.0%
Dash Punctuation 47
 
1.2%
Other Punctuation 35
 
0.9%
Uppercase Letter 10
 
0.3%
Other Symbol 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 136
 
6.2%
인 135
 
6.1%
동 135
 
6.1%
천 133
 
6.0%
광 131
 
5.9%
시 131
 
5.9%
역 130
 
5.9%
구 130
 
5.9%
가 112
 
5.1%
로 105
 
4.8%
Other values (100) 931
42.1%
Decimal Number
ValueCountFrequency (%)
1 128
17.6%
3 108
14.8%
2 95
13.0%
7 80
11.0%
6 63
8.7%
0 58
8.0%
9 56
7.7%
4 56
7.7%
5 52
7.1%
8 32
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
C 3
30.0%
J 3
30.0%
M 1
 
10.0%
D 1
 
10.0%
F 1
 
10.0%
A 1
 
10.0%
Space Separator
ValueCountFrequency (%)
546
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2218
58.2%
Common 1586
41.6%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 136
 
6.1%
인 135
 
6.1%
동 135
 
6.1%
천 133
 
6.0%
광 131
 
5.9%
시 131
 
5.9%
역 130
 
5.9%
구 130
 
5.9%
가 112
 
5.0%
로 105
 
4.7%
Other values (101) 940
42.4%
Common
ValueCountFrequency (%)
546
34.4%
1 128
 
8.1%
( 115
 
7.3%
) 115
 
7.3%
3 108
 
6.8%
2 95
 
6.0%
7 80
 
5.0%
6 63
 
4.0%
0 58
 
3.7%
9 56
 
3.5%
Other values (5) 222
14.0%
Latin
ValueCountFrequency (%)
C 3
30.0%
J 3
30.0%
M 1
 
10.0%
D 1
 
10.0%
F 1
 
10.0%
A 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2209
57.9%
ASCII 1596
41.8%
None 9
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
546
34.2%
1 128
 
8.0%
( 115
 
7.2%
) 115
 
7.2%
3 108
 
6.8%
2 95
 
6.0%
7 80
 
5.0%
6 63
 
3.9%
0 58
 
3.6%
9 56
 
3.5%
Other values (11) 232
14.5%
Hangul
ValueCountFrequency (%)
중 136
 
6.2%
인 135
 
6.1%
동 135
 
6.1%
천 133
 
6.0%
광 131
 
5.9%
시 131
 
5.9%
역 130
 
5.9%
구 130
 
5.9%
가 112
 
5.1%
로 105
 
4.8%
Other values (100) 931
42.1%
None
ValueCountFrequency (%)
㈜ 9
100.0%

전화번호
Text

MISSING 

Distinct117
Distinct (%)96.7%
Missing9
Missing (%)6.9%
Memory size1.1 KiB
2024-03-18T12:04:04.713357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.991736
Min length11

Characters and Unicode

Total characters1451
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

Unique115 ?
Unique (%)95.0%

Sample

1st row032-887-5741
2nd row032-885-9001
3rd row032-772-0077
4th row032-888-6468
5th row032-888-7941
ValueCountFrequency (%)
032-741-2242 4
 
3.3%
032-770-3021 2
 
1.7%
032-883-6998 1
 
0.8%
032-887-5741 1
 
0.8%
032-741-5749 1
 
0.8%
032-865-2233 1
 
0.8%
032-891-2627 1
 
0.8%
032-883-0030 1
 
0.8%
032-887-3305 1
 
0.8%
032-777-9002 1
 
0.8%
Other values (107) 107
88.4%
2024-03-18T12:04:05.057772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 242
16.7%
0 219
15.1%
2 197
13.6%
8 193
13.3%
3 175
12.1%
1 103
7.1%
7 86
 
5.9%
4 83
 
5.7%
9 59
 
4.1%
5 53
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1209
83.3%
Dash Punctuation 242
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 219
18.1%
2 197
16.3%
8 193
16.0%
3 175
14.5%
1 103
8.5%
7 86
 
7.1%
4 83
 
6.9%
9 59
 
4.9%
5 53
 
4.4%
6 41
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1451
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 242
16.7%
0 219
15.1%
2 197
13.6%
8 193
13.3%
3 175
12.1%
1 103
7.1%
7 86
 
5.9%
4 83
 
5.7%
9 59
 
4.1%
5 53
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1451
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 242
16.7%
0 219
15.1%
2 197
13.6%
8 193
13.3%
3 175
12.1%
1 103
7.1%
7 86
 
5.9%
4 83
 
5.7%
9 59
 
4.1%
5 53
 
3.7%

팩스번호
Text

MISSING 

Distinct108
Distinct (%)95.6%
Missing17
Missing (%)13.1%
Memory size1.1 KiB
2024-03-18T12:04:05.300155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.99115
Min length11

Characters and Unicode

Total characters1355
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

Unique106 ?
Unique (%)93.8%

Sample

1st row032-887-5745
2nd row032-885-9003
3rd row032-762-0755
4th row032-888-6460
5th row032-816-3074
ValueCountFrequency (%)
032-741-2240 4
 
3.5%
032-763-3171 3
 
2.7%
032-887-5745 1
 
0.9%
032-834-7549 1
 
0.9%
032-741-2210 1
 
0.9%
032-861-9999 1
 
0.9%
032-887-9817 1
 
0.9%
032-885-8296 1
 
0.9%
032-887-3304 1
 
0.9%
032-777-9008 1
 
0.9%
Other values (98) 98
86.7%
2024-03-18T12:04:05.643644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 226
16.7%
8 192
14.2%
3 179
13.2%
0 177
13.1%
2 165
12.2%
7 93
6.9%
4 80
 
5.9%
1 78
 
5.8%
9 62
 
4.6%
5 52
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1129
83.3%
Dash Punctuation 226
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 192
17.0%
3 179
15.9%
0 177
15.7%
2 165
14.6%
7 93
8.2%
4 80
7.1%
1 78
6.9%
9 62
 
5.5%
5 52
 
4.6%
6 51
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1355
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 226
16.7%
8 192
14.2%
3 179
13.2%
0 177
13.1%
2 165
12.2%
7 93
6.9%
4 80
 
5.9%
1 78
 
5.8%
9 62
 
4.6%
5 52
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1355
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 226
16.7%
8 192
14.2%
3 179
13.2%
0 177
13.1%
2 165
12.2%
7 93
6.9%
4 80
 
5.9%
1 78
 
5.8%
9 62
 
4.6%
5 52
 
3.8%

업종명
Text

Distinct79
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-18T12:04:05.930060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length16.1
Min length6

Characters and Unicode

Total characters2093
Distinct characters156
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)45.4%

Sample

1st row육상 금속 골조 구조재 제조업 외 1 종
2nd row공기 조화장치 제조업 외 2 종
3rd row간판 및 광고물 제조업 외 2 종
4th row선박 구성 부분품 제조업
5th row식물성 유지 제조업 외 2 종
ValueCountFrequency (%)
제조업 108
 
15.8%
및 57
 
8.3%
외 52
 
7.6%
종 46
 
6.7%
기타 32
 
4.7%
1 23
 
3.4%
수산동물 22
 
3.2%
선박 15
 
2.2%
부분품 15
 
2.2%
구성 15
 
2.2%
Other values (140) 299
43.7%
2024-03-18T12:04:06.289056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
554
26.5%
제 131
 
6.3%
업 131
 
6.3%
조 121
 
5.8%
기 67
 
3.2%
및 57
 
2.7%
외 54
 
2.6%
품 47
 
2.2%
종 47
 
2.2%
동 40
 
1.9%
Other values (146) 844
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1475
70.5%
Space Separator 554
 
26.5%
Decimal Number 49
 
2.3%
Other Punctuation 11
 
0.5%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 131
 
8.9%
업 131
 
8.9%
조 121
 
8.2%
기 67
 
4.5%
및 57
 
3.9%
외 54
 
3.7%
품 47
 
3.2%
종 47
 
3.2%
동 40
 
2.7%
타 33
 
2.2%
Other values (136) 747
50.6%
Decimal Number
ValueCountFrequency (%)
1 26
53.1%
2 12
24.5%
3 6
 
12.2%
4 4
 
8.2%
9 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
. 1
 
9.1%
Space Separator
ValueCountFrequency (%)
554
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1475
70.5%
Common 618
29.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 131
 
8.9%
업 131
 
8.9%
조 121
 
8.2%
기 67
 
4.5%
및 57
 
3.9%
외 54
 
3.7%
품 47
 
3.2%
종 47
 
3.2%
동 40
 
2.7%
타 33
 
2.2%
Other values (136) 747
50.6%
Common
ValueCountFrequency (%)
554
89.6%
1 26
 
4.2%
2 12
 
1.9%
, 10
 
1.6%
3 6
 
1.0%
4 4
 
0.6%
( 2
 
0.3%
) 2
 
0.3%
9 1
 
0.2%
. 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1475
70.5%
ASCII 618
29.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
554
89.6%
1 26
 
4.2%
2 12
 
1.9%
, 10
 
1.6%
3 6
 
1.0%
4 4
 
0.6%
( 2
 
0.3%
) 2
 
0.3%
9 1
 
0.2%
. 1
 
0.2%
Hangul
ValueCountFrequency (%)
제 131
 
8.9%
업 131
 
8.9%
조 121
 
8.2%
기 67
 
4.5%
및 57
 
3.9%
외 54
 
3.7%
품 47
 
3.2%
종 47
 
3.2%
동 40
 
2.7%
타 33
 
2.2%
Other values (136) 747
50.6%

생산품
Text

Distinct107
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-18T12:04:06.497333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length22
Mean length8.4615385
Min length2

Characters and Unicode

Total characters1100
Distinct characters250
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

Unique93 ?
Unique (%)71.5%

Sample

1st row발전배관, SPOOL제작
2nd row냉각탑
3rd row광고물, 간판 등
4th row선박부분품
5th row참기름, 고춧가루, 참깨
ValueCountFrequency (%)
및 10
 
4.2%
등 8
 
3.4%
선박부분품 5
 
2.1%
선박구성부분품 5
 
2.1%
인쇄물 4
 
1.7%
냉동품 4
 
1.7%
수산물 3
 
1.3%
기내식 3
 
1.3%
사료 3
 
1.3%
레미콘 3
 
1.3%
Other values (170) 188
79.7%
2024-03-18T12:04:06.842927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
 
9.6%
, 57
 
5.2%
품 36
 
3.3%
기 36
 
3.3%
동 24
 
2.2%
부 21
 
1.9%
선 19
 
1.7%
수 17
 
1.5%
박 17
 
1.5%
물 17
 
1.5%
Other values (240) 750
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 892
81.1%
Space Separator 106
 
9.6%
Other Punctuation 58
 
5.3%
Uppercase Letter 26
 
2.4%
Open Punctuation 6
 
0.5%
Close Punctuation 6
 
0.5%
Lowercase Letter 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 36
 
4.0%
기 36
 
4.0%
동 24
 
2.7%
부 21
 
2.4%
선 19
 
2.1%
수 17
 
1.9%
박 17
 
1.9%
물 17
 
1.9%
자 16
 
1.8%
용 15
 
1.7%
Other values (216) 674
75.6%
Uppercase Letter
ValueCountFrequency (%)
L 4
15.4%
P 3
11.5%
D 3
11.5%
O 2
7.7%
C 2
7.7%
B 2
7.7%
E 2
7.7%
V 2
7.7%
U 2
7.7%
T 1
 
3.8%
Other values (3) 3
11.5%
Lowercase Letter
ValueCountFrequency (%)
x 1
16.7%
o 1
16.7%
h 1
16.7%
c 1
16.7%
t 1
16.7%
i 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 57
98.3%
: 1
 
1.7%
Space Separator
ValueCountFrequency (%)
106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 892
81.1%
Common 176
 
16.0%
Latin 32
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 36
 
4.0%
기 36
 
4.0%
동 24
 
2.7%
부 21
 
2.4%
선 19
 
2.1%
수 17
 
1.9%
박 17
 
1.9%
물 17
 
1.9%
자 16
 
1.8%
용 15
 
1.7%
Other values (216) 674
75.6%
Latin
ValueCountFrequency (%)
L 4
12.5%
P 3
 
9.4%
D 3
 
9.4%
O 2
 
6.2%
C 2
 
6.2%
B 2
 
6.2%
E 2
 
6.2%
V 2
 
6.2%
U 2
 
6.2%
T 1
 
3.1%
Other values (9) 9
28.1%
Common
ValueCountFrequency (%)
106
60.2%
, 57
32.4%
( 6
 
3.4%
) 6
 
3.4%
: 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 892
81.1%
ASCII 208
 
18.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
51.0%
, 57
27.4%
( 6
 
2.9%
) 6
 
2.9%
L 4
 
1.9%
P 3
 
1.4%
D 3
 
1.4%
O 2
 
1.0%
C 2
 
1.0%
B 2
 
1.0%
Other values (14) 17
 
8.2%
Hangul
ValueCountFrequency (%)
품 36
 
4.0%
기 36
 
4.0%
동 24
 
2.7%
부 21
 
2.4%
선 19
 
2.1%
수 17
 
1.9%
박 17
 
1.9%
물 17
 
1.9%
자 16
 
1.8%
용 15
 
1.7%
Other values (216) 674
75.6%

종업원수
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.092308
Minimum0
Maximum1293
Zeros4
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-18T12:04:06.986089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median10
Q323.75
95-th percentile193.75
Maximum1293
Range1293
Interquartile range (IQR)19.75

Descriptive statistics

Standard deviation166.29186
Coefficient of variation (CV)3.0184225
Kurtosis34.115884
Mean55.092308
Median Absolute Deviation (MAD)7
Skewness5.5722043
Sum7162
Variance27652.984
MonotonicityNot monotonic
2024-03-18T12:04:07.172874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 15
 
11.5%
4 10
 
7.7%
5 10
 
7.7%
10 9
 
6.9%
7 5
 
3.8%
1 5
 
3.8%
24 4
 
3.1%
8 4
 
3.1%
0 4
 
3.1%
9 4
 
3.1%
Other values (44) 60
46.2%
ValueCountFrequency (%)
0 4
 
3.1%
1 5
 
3.8%
2 2
 
1.5%
3 15
11.5%
4 10
7.7%
5 10
7.7%
6 2
 
1.5%
7 5
 
3.8%
8 4
 
3.1%
9 4
 
3.1%
ValueCountFrequency (%)
1293 1
0.8%
992 1
0.8%
829 1
0.8%
407 1
0.8%
307 1
0.8%
288 1
0.8%
205 1
0.8%
180 1
0.8%
166 1
0.8%
164 1
0.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2023-09-15 00:00:00
Maximum2023-09-15 00:00:00
2024-03-18T12:04:07.263608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:07.335685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T12:04:02.498531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:02.343762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:02.673885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:04:02.411156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T12:04:07.388452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종명종업원수
순번1.0000.4720.185
업종명0.4721.0000.904
종업원수0.1850.9041.000
2024-03-18T12:04:07.469077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수
순번1.000-0.139
종업원수-0.1391.000

Missing values

2024-03-18T12:04:02.797347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:04:02.914797image/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.
2024-03-18T12:04:03.012428image/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

순번회사명공장대표주소(도로명)전화번호팩스번호업종명생산품종업원수데이터기준일
01(주)거산피엔에프인천광역시 중구 서해대로210번길 35(신흥동3가, (주)거산피엔에프)032-887-5741032-887-5745육상 금속 골조 구조재 제조업 외 1 종발전배관, SPOOL제작202023-09-15
12(주)경인기계인천광역시 중구 서해대로 307 (항동7가, 경인기계㈜)032-885-9001032-885-9003공기 조화장치 제조업 외 2 종냉각탑802023-09-15
23(주)경화인천광역시 중구 제물량로232번안길 23 (중앙동1가)032-772-0077032-762-0755간판 및 광고물 제조업 외 2 종광고물, 간판 등82023-09-15
34(주)광성기계인천광역시 중구 연안부두로115번길 21-4 (항동7가)032-888-6468032-888-6460선박 구성 부분품 제조업선박부분품62023-09-15
45(주)농가에프엔씨인천광역시 중구 축항대로296번길 60-12 (신흥동3가)032-888-7941<NA>식물성 유지 제조업 외 2 종참기름, 고춧가루, 참깨02023-09-15
56(주)대서양푸드인천광역시 중구 연안부두로75번길 4, 2층1호 (항동7가)<NA><NA>기타 수산동물 가공 및 저장 처리업수산물02023-09-15
67(주)대성산업인천광역시 중구 서해대로180번길 9 (신흥동3가) 외 1필지032-811-5930032-816-3074금속 문, 창, 셔터 및 관련제품 제조업건축자재(알미늄샷시)162023-09-15
78(주)대성이엔지인천광역시 중구 연안부두로91번길 7 (항동7가)032-882-4877032-887-4877선박 구성 부분품 제조업선박부분품102023-09-15
89(주)대영테크인천광역시 중구 항동7가 104-22번지032-446-5206032-446-5208기어 및 동력전달장치 제조업감속기 및 기어류92023-09-15
910(주)동림수산인천광역시 중구 항동7가 108-3번지032-888-9401032-883-0103기타 수산동물 가공 및 저장 처리업 외 2 종냉동품572023-09-15
순번회사명공장대표주소(도로명)전화번호팩스번호업종명생산품종업원수데이터기준일
120121풍성산기인천광역시 중구 연안부두로107번길 20-13 (항동7가)032-884-1448032-884-8319선박 구성 부분품 제조업선박구성부분품32023-09-15
121122프로금속인천광역시 중구 항동7가 65번지032-887-4259032-887-4259선박 구성 부분품 제조업선박부분품32023-09-15
122123하늘금속인천광역시 중구 서해대로210번길 36 (신흥동3가)<NA>032-887-7975간판 및 광고물 제조업간판 및 광고물82023-09-15
123124한국정공인천광역시 중구 신흥동3가 42-35번지032-811-0358032-811-0359기타 가공 공작기계 제조업지그정반, 근형플레이트, 프레스다이 등42023-09-15
124125한성정공인천광역시 중구 서해대로 167 (항동7가) 외 2필지032-812-7406032-816-2201주형 및 금형 제조업금형, 드라이브 플레이트(자동차부품)162023-09-15
125126현대공영(주)인천광역시 중구 서해대로 114 (신흥동3가)032-575-4051032-887-0117콘크리트 타일, 기와, 벽돌 및 블록 제조업 외 1 종방파제, 방파제벽돌132023-09-15
126127화남기계인천광역시 중구 축항대로296번길 56-46(신흥동3가)032-516-7274<NA>분사기 및 소화기 제조업무인기관실용 자동소화장치22023-09-15
127128화창종합디젤인천광역시 중구 축항대로118번길 164 (항동7가)032-882-3352032-882-4995선박 구성 부분품 제조업감속기 등 중고엔진 수리 등42023-09-15
128129흥인목재인천광역시 중구 신흥동3가 7-288번지032-882-0900032-885-6038일반 제재업판재,각재102023-09-15
129130희창물산(주)인천광역시 중구 축항대로86번길 138 (항동7가, 희창물산㈜)032-889-0381032-889-0385수산동물 냉동품 제조업냉동품222023-09-15