Overview

Dataset statistics

Number of variables8
Number of observations2497
Missing cells352
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory161.1 KiB
Average record size in memory66.1 B

Variable types

Numeric2
Text4
Categorical2

Dataset

Description경기도 양주시 공장 등록 현황 관련한 데이터들을 회사명,소재지(지번),종업원수,생산품,전화번호 등을 포함하고 있습니다.
Author경기도 양주시
URLhttps://www.data.go.kr/data/3080227/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 연번High correlation
전화번호 has 345 (13.8%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:51:27.134862
Analysis finished2024-03-14 11:51:30.399047
Duration3.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2497
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1249
Minimum1
Maximum2497
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.1 KiB
2024-03-14T20:51:30.629784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile125.8
Q1625
median1249
Q31873
95-th percentile2372.2
Maximum2497
Range2496
Interquartile range (IQR)1248

Descriptive statistics

Standard deviation720.96613
Coefficient of variation (CV)0.5772347
Kurtosis-1.2
Mean1249
Median Absolute Deviation (MAD)624
Skewness0
Sum3118753
Variance519792.17
MonotonicityStrictly increasing
2024-03-14T20:51:31.078740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1669 1
 
< 0.1%
1662 1
 
< 0.1%
1663 1
 
< 0.1%
1664 1
 
< 0.1%
1665 1
 
< 0.1%
1666 1
 
< 0.1%
1667 1
 
< 0.1%
1668 1
 
< 0.1%
1670 1
 
< 0.1%
Other values (2487) 2487
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2497 1
< 0.1%
2496 1
< 0.1%
2495 1
< 0.1%
2494 1
< 0.1%
2493 1
< 0.1%
2492 1
< 0.1%
2491 1
< 0.1%
2490 1
< 0.1%
2489 1
< 0.1%
2488 1
< 0.1%

회사명
Text

Distinct2397
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size19.6 KiB
2024-03-14T20:51:32.207965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length5.7172607
Min length2

Characters and Unicode

Total characters14276
Distinct characters582
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2302 ?
Unique (%)92.2%

Sample

1st row효승포장공업(주)
2nd row(주)진웅산업
3rd row용진섬유
4th row한양산업개발(주)
5th row(주)새한비료
ValueCountFrequency (%)
주식회사 7
 
0.3%
양주지점 6
 
0.2%
제2공장 6
 
0.2%
제1공장 5
 
0.2%
양주공장 4
 
0.2%
2공장 4
 
0.2%
㈜창대핫멜시트 3
 
0.1%
㈜플라이쿱 3
 
0.1%
성진산업 3
 
0.1%
동성섬유 3
 
0.1%
Other values (2398) 2506
98.3%
2024-03-14T20:51:33.489612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 1050
 
7.4%
업 426
 
3.0%
이 414
 
2.9%
스 405
 
2.8%
주 323
 
2.3%
산 322
 
2.3%
( 280
 
2.0%
) 280
 
2.0%
유 278
 
1.9%
성 261
 
1.8%
Other values (572) 10237
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12304
86.2%
Other Symbol 1050
 
7.4%
Open Punctuation 284
 
2.0%
Close Punctuation 284
 
2.0%
Uppercase Letter 190
 
1.3%
Decimal Number 64
 
0.4%
Space Separator 53
 
0.4%
Other Punctuation 25
 
0.2%
Lowercase Letter 21
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 426
 
3.5%
이 414
 
3.4%
스 405
 
3.3%
주 323
 
2.6%
산 322
 
2.6%
유 278
 
2.3%
성 261
 
2.1%
에 203
 
1.6%
대 188
 
1.5%
섬 183
 
1.5%
Other values (521) 9301
75.6%
Uppercase Letter
ValueCountFrequency (%)
E 22
 
11.6%
N 18
 
9.5%
S 14
 
7.4%
T 13
 
6.8%
G 12
 
6.3%
C 12
 
6.3%
M 11
 
5.8%
A 10
 
5.3%
O 8
 
4.2%
D 8
 
4.2%
Other values (13) 62
32.6%
Lowercase Letter
ValueCountFrequency (%)
k 3
14.3%
e 3
14.3%
c 3
14.3%
f 2
9.5%
o 2
9.5%
i 1
 
4.8%
n 1
 
4.8%
z 1
 
4.8%
r 1
 
4.8%
w 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
2 37
57.8%
1 19
29.7%
3 7
 
10.9%
4 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 12
48.0%
& 11
44.0%
' 1
 
4.0%
· 1
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 280
98.6%
[ 4
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 280
98.6%
] 4
 
1.4%
Other Symbol
ValueCountFrequency (%)
㈜ 1050
100.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13354
93.5%
Common 711
 
5.0%
Latin 211
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 1050
 
7.9%
업 426
 
3.2%
이 414
 
3.1%
스 405
 
3.0%
주 323
 
2.4%
산 322
 
2.4%
유 278
 
2.1%
성 261
 
2.0%
에 203
 
1.5%
대 188
 
1.4%
Other values (522) 9484
71.0%
Latin
ValueCountFrequency (%)
E 22
 
10.4%
N 18
 
8.5%
S 14
 
6.6%
T 13
 
6.2%
G 12
 
5.7%
C 12
 
5.7%
M 11
 
5.2%
A 10
 
4.7%
O 8
 
3.8%
D 8
 
3.8%
Other values (26) 83
39.3%
Common
ValueCountFrequency (%)
( 280
39.4%
) 280
39.4%
53
 
7.5%
2 37
 
5.2%
1 19
 
2.7%
. 12
 
1.7%
& 11
 
1.5%
3 7
 
1.0%
[ 4
 
0.6%
] 4
 
0.6%
Other values (4) 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12303
86.2%
None 1051
 
7.4%
ASCII 921
 
6.5%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 1050
99.9%
· 1
 
0.1%
Hangul
ValueCountFrequency (%)
업 426
 
3.5%
이 414
 
3.4%
스 405
 
3.3%
주 323
 
2.6%
산 322
 
2.6%
유 278
 
2.3%
성 261
 
2.1%
에 203
 
1.7%
대 188
 
1.5%
섬 183
 
1.5%
Other values (520) 9300
75.6%
ASCII
ValueCountFrequency (%)
( 280
30.4%
) 280
30.4%
53
 
5.8%
2 37
 
4.0%
E 22
 
2.4%
1 19
 
2.1%
N 18
 
2.0%
S 14
 
1.5%
T 13
 
1.4%
G 12
 
1.3%
Other values (39) 173
18.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

소재지 (지번)
Text

Distinct2415
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size19.6 KiB
2024-03-14T20:51:34.820354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length174
Median length74
Mean length23.14978
Min length13

Characters and Unicode

Total characters57805
Distinct characters160
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

Unique2337 ?
Unique (%)93.6%

Sample

1st row경기도 양주시 광적면 광석리 200-1
2nd row경기도 양주시 광적면 가납리 617-5 (619-1)
3rd row경기도 양주시 광적면 가납리 721-2
4th row경기도 양주시 광적면 석우리 43 (44-1,-4,-26,45,45-1,46-1,47-1,-11)
5th row경기도 양주시 광적면 덕도리 809-2
ValueCountFrequency (%)
경기도 2498
19.4%
양주시 2498
19.4%
광적면 618
 
4.8%
은현면 529
 
4.1%
남면 433
 
3.4%
백석읍 249
 
1.9%
가납리 217
 
1.7%
덕도리 200
 
1.6%
상수리 175
 
1.4%
봉양동 157
 
1.2%
Other values (2597) 5311
41.2%
2024-03-14T20:51:36.437193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10388
18.0%
- 2954
 
5.1%
도 2800
 
4.8%
양 2663
 
4.6%
경 2598
 
4.5%
주 2512
 
4.3%
시 2504
 
4.3%
기 2499
 
4.3%
1 2335
 
4.0%
리 1943
 
3.4%
Other values (150) 24609
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29269
50.6%
Decimal Number 12576
21.8%
Space Separator 10388
 
18.0%
Dash Punctuation 2954
 
5.1%
Other Punctuation 889
 
1.5%
Close Punctuation 805
 
1.4%
Open Punctuation 802
 
1.4%
Uppercase Letter 121
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2800
 
9.6%
양 2663
 
9.1%
경 2598
 
8.9%
주 2512
 
8.6%
시 2504
 
8.6%
기 2499
 
8.5%
리 1943
 
6.6%
면 1608
 
5.5%
동 832
 
2.8%
광 668
 
2.3%
Other values (119) 8642
29.5%
Uppercase Letter
ValueCountFrequency (%)
A 40
33.1%
B 22
18.2%
C 21
17.4%
D 9
 
7.4%
F 6
 
5.0%
G 4
 
3.3%
T 4
 
3.3%
Y 4
 
3.3%
E 4
 
3.3%
H 3
 
2.5%
Other values (3) 4
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 2335
18.6%
2 1765
14.0%
4 1525
12.1%
3 1411
11.2%
6 1219
9.7%
5 1208
9.6%
7 901
 
7.2%
8 834
 
6.6%
9 736
 
5.9%
0 642
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 888
99.9%
. 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 804
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
10388
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2954
100.0%
Open Punctuation
ValueCountFrequency (%)
( 802
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29269
50.6%
Common 28414
49.2%
Latin 122
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2800
 
9.6%
양 2663
 
9.1%
경 2598
 
8.9%
주 2512
 
8.6%
시 2504
 
8.6%
기 2499
 
8.5%
리 1943
 
6.6%
면 1608
 
5.5%
동 832
 
2.8%
광 668
 
2.3%
Other values (119) 8642
29.5%
Common
ValueCountFrequency (%)
10388
36.6%
- 2954
 
10.4%
1 2335
 
8.2%
2 1765
 
6.2%
4 1525
 
5.4%
3 1411
 
5.0%
6 1219
 
4.3%
5 1208
 
4.3%
7 901
 
3.2%
, 888
 
3.1%
Other values (7) 3820
 
13.4%
Latin
ValueCountFrequency (%)
A 40
32.8%
B 22
18.0%
C 21
17.2%
D 9
 
7.4%
F 6
 
4.9%
G 4
 
3.3%
T 4
 
3.3%
Y 4
 
3.3%
E 4
 
3.3%
H 3
 
2.5%
Other values (4) 5
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29269
50.6%
ASCII 28536
49.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10388
36.4%
- 2954
 
10.4%
1 2335
 
8.2%
2 1765
 
6.2%
4 1525
 
5.3%
3 1411
 
4.9%
6 1219
 
4.3%
5 1208
 
4.2%
7 901
 
3.2%
, 888
 
3.1%
Other values (21) 3942
 
13.8%
Hangul
ValueCountFrequency (%)
도 2800
 
9.6%
양 2663
 
9.1%
경 2598
 
8.9%
주 2512
 
8.6%
시 2504
 
8.6%
기 2499
 
8.5%
리 1943
 
6.6%
면 1608
 
5.5%
동 832
 
2.8%
광 668
 
2.3%
Other values (119) 8642
29.5%

종업원수
Real number (ℝ)

Distinct96
Distinct (%)3.9%
Missing6
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean13.391811
Minimum0
Maximum372
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size22.1 KiB
2024-03-14T20:51:36.744184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q315
95-th percentile40
Maximum372
Range372
Interquartile range (IQR)10

Descriptive statistics

Standard deviation20.662808
Coefficient of variation (CV)1.5429436
Kurtosis81.13863
Mean13.391811
Median Absolute Deviation (MAD)4
Skewness7.2401741
Sum33359
Variance426.95164
MonotonicityNot monotonic
2024-03-14T20:51:37.000519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 331
13.3%
10 234
 
9.4%
3 193
 
7.7%
4 193
 
7.7%
6 162
 
6.5%
2 138
 
5.5%
7 128
 
5.1%
8 120
 
4.8%
15 100
 
4.0%
9 84
 
3.4%
Other values (86) 808
32.4%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 52
 
2.1%
2 138
5.5%
3 193
7.7%
4 193
7.7%
5 331
13.3%
6 162
6.5%
7 128
 
5.1%
8 120
 
4.8%
9 84
 
3.4%
ValueCountFrequency (%)
372 1
< 0.1%
307 1
< 0.1%
240 1
< 0.1%
231 1
< 0.1%
210 1
< 0.1%
201 1
< 0.1%
200 2
0.1%
180 1
< 0.1%
146 1
< 0.1%
145 1
< 0.1%

생산품
Text

Distinct1819
Distinct (%)72.9%
Missing1
Missing (%)< 0.1%
Memory size19.6 KiB
2024-03-14T20:51:37.963149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length39
Mean length6.3445513
Min length1

Characters and Unicode

Total characters15836
Distinct characters650
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

Unique1598 ?
Unique (%)64.0%

Sample

1st row포장용상자
2nd row착색제
3rd row섬유,사염색
4th row레미콘
5th row질소화합물
ValueCountFrequency (%)
원단 95
 
3.4%
등 82
 
2.9%
마스크 55
 
2.0%
섬유임가공 27
 
1.0%
편조원단 21
 
0.8%
섬유 19
 
0.7%
양말 15
 
0.5%
배전반 12
 
0.4%
섬유염색 10
 
0.4%
피혁임가공 10
 
0.4%
Other values (1914) 2444
87.6%
2024-03-14T20:51:39.218059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 778
 
4.9%
기 553
 
3.5%
가 382
 
2.4%
스 365
 
2.3%
294
 
1.9%
품 278
 
1.8%
제 278
 
1.8%
용 271
 
1.7%
단 265
 
1.7%
원 262
 
1.7%
Other values (640) 12110
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14078
88.9%
Other Punctuation 789
 
5.0%
Uppercase Letter 314
 
2.0%
Space Separator 294
 
1.9%
Open Punctuation 154
 
1.0%
Close Punctuation 153
 
1.0%
Lowercase Letter 40
 
0.3%
Decimal Number 10
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 553
 
3.9%
가 382
 
2.7%
스 365
 
2.6%
품 278
 
2.0%
제 278
 
2.0%
용 271
 
1.9%
단 265
 
1.9%
원 262
 
1.9%
공 242
 
1.7%
전 221
 
1.6%
Other values (591) 10961
77.9%
Uppercase Letter
ValueCountFrequency (%)
P 49
15.6%
C 46
14.6%
L 36
11.5%
E 34
10.8%
D 33
10.5%
V 30
9.6%
T 14
 
4.5%
R 12
 
3.8%
S 10
 
3.2%
A 7
 
2.2%
Other values (11) 43
13.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
17.5%
l 7
17.5%
t 6
15.0%
c 4
10.0%
v 3
7.5%
p 3
7.5%
n 1
 
2.5%
d 1
 
2.5%
a 1
 
2.5%
h 1
 
2.5%
Other values (6) 6
15.0%
Decimal Number
ValueCountFrequency (%)
3 4
40.0%
2 2
20.0%
1 2
20.0%
0 1
 
10.0%
6 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 778
98.6%
. 9
 
1.1%
/ 2
 
0.3%
Space Separator
ValueCountFrequency (%)
294
100.0%
Open Punctuation
ValueCountFrequency (%)
( 154
100.0%
Close Punctuation
ValueCountFrequency (%)
) 153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14078
88.9%
Common 1404
 
8.9%
Latin 354
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 553
 
3.9%
가 382
 
2.7%
스 365
 
2.6%
품 278
 
2.0%
제 278
 
2.0%
용 271
 
1.9%
단 265
 
1.9%
원 262
 
1.9%
공 242
 
1.7%
전 221
 
1.6%
Other values (591) 10961
77.9%
Latin
ValueCountFrequency (%)
P 49
13.8%
C 46
13.0%
L 36
10.2%
E 34
9.6%
D 33
 
9.3%
V 30
 
8.5%
T 14
 
4.0%
R 12
 
3.4%
S 10
 
2.8%
e 7
 
2.0%
Other values (27) 83
23.4%
Common
ValueCountFrequency (%)
, 778
55.4%
294
 
20.9%
( 154
 
11.0%
) 153
 
10.9%
. 9
 
0.6%
3 4
 
0.3%
- 4
 
0.3%
/ 2
 
0.1%
2 2
 
0.1%
1 2
 
0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14078
88.9%
ASCII 1758
 
11.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 778
44.3%
294
 
16.7%
( 154
 
8.8%
) 153
 
8.7%
P 49
 
2.8%
C 46
 
2.6%
L 36
 
2.0%
E 34
 
1.9%
D 33
 
1.9%
V 30
 
1.7%
Other values (39) 151
 
8.6%
Hangul
ValueCountFrequency (%)
기 553
 
3.9%
가 382
 
2.7%
스 365
 
2.6%
품 278
 
2.0%
제 278
 
2.0%
용 271
 
1.9%
단 265
 
1.9%
원 262
 
1.9%
공 242
 
1.7%
전 221
 
1.6%
Other values (591) 10961
77.9%

전화번호
Text

MISSING 

Distinct1984
Distinct (%)92.2%
Missing345
Missing (%)13.8%
Memory size19.6 KiB
2024-03-14T20:51:40.307099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.974907
Min length8

Characters and Unicode

Total characters25770
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

Unique1837 ?
Unique (%)85.4%

Sample

1st row031-836-3161
2nd row031-836-6005
3rd row031-868-6500
4th row031-836-6184
5th row031-871-3568
ValueCountFrequency (%)
031-855-4243 5
 
0.2%
031-867-4000 4
 
0.2%
031-871-8781 4
 
0.2%
031-867-9991 4
 
0.2%
031-837-4501 3
 
0.1%
031-836-4051 3
 
0.1%
031-855-7728 3
 
0.1%
031-859-1001 3
 
0.1%
031-863-5071 3
 
0.1%
031-837-8422 3
 
0.1%
Other values (1974) 2117
98.4%
2024-03-14T20:51:41.798531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4290
16.6%
0 3572
13.9%
1 3187
12.4%
8 3182
12.3%
3 3129
12.1%
6 1981
7.7%
5 1587
 
6.2%
7 1449
 
5.6%
2 1278
 
5.0%
4 1136
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21480
83.4%
Dash Punctuation 4290
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3572
16.6%
1 3187
14.8%
8 3182
14.8%
3 3129
14.6%
6 1981
9.2%
5 1587
7.4%
7 1449
6.7%
2 1278
 
5.9%
4 1136
 
5.3%
9 979
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 4290
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25770
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4290
16.6%
0 3572
13.9%
1 3187
12.4%
8 3182
12.3%
3 3129
12.1%
6 1981
7.7%
5 1587
 
6.2%
7 1449
 
5.6%
2 1278
 
5.0%
4 1136
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4290
16.6%
0 3572
13.9%
1 3187
12.4%
8 3182
12.3%
3 3129
12.1%
6 1981
7.7%
5 1587
 
6.2%
7 1449
 
5.6%
2 1278
 
5.0%
4 1136
 
4.4%

행정동
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size19.6 KiB
광적면
674 
은현면
535 
남면
435 
백석읍
265 
회천1동
199 
Other values (7)
389 

Length

Max length4
Median length3
Mean length3.0512615
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
광적면 674
27.0%
은현면 535
21.4%
남면 435
17.4%
백석읍 265
 
10.6%
회천1동 199
 
8.0%
회천4동 128
 
5.1%
양주2동 104
 
4.2%
회천2동 88
 
3.5%
회천3동 34
 
1.4%
장흥면 24
 
1.0%
Other values (2) 11
 
0.4%

Length

2024-03-14T20:51:42.259840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
광적면 674
27.0%
은현면 535
21.4%
남면 435
17.4%
백석읍 265
 
10.6%
회천1동 199
 
8.0%
회천4동 128
 
5.1%
양주2동 104
 
4.2%
회천2동 88
 
3.5%
회천3동 34
 
1.4%
장흥면 24
 
1.0%
Other values (2) 11
 
0.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.6 KiB
2023-12-30
2497 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-30
2nd row2023-12-30
3rd row2023-12-30
4th row2023-12-30
5th row2023-12-30

Common Values

ValueCountFrequency (%)
2023-12-30 2497
100.0%

Length

2024-03-14T20:51:42.662028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:51:42.948543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-30 2497
100.0%

Interactions

2024-03-14T20:51:29.186757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:51:28.669051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:51:29.358123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:51:28.921920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:51:43.117301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종업원수행정동
연번1.0000.0800.913
종업원수0.0801.0000.106
행정동0.9130.1061.000
2024-03-14T20:51:43.360378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종업원수행정동
연번1.000-0.0440.704
종업원수-0.0441.0000.045
행정동0.7040.0451.000

Missing values

2024-03-14T20:51:29.588488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:51:29.926317image/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.
2024-03-14T20:51:30.248720image/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

연번회사명소재지 (지번)종업원수생산품전화번호행정동데이터기준일자
01효승포장공업(주)경기도 양주시 광적면 광석리 200-17포장용상자031-836-3161광적면2023-12-30
12(주)진웅산업경기도 양주시 광적면 가납리 617-5 (619-1)95착색제031-836-6005광적면2023-12-30
23용진섬유경기도 양주시 광적면 가납리 721-223섬유,사염색031-868-6500광적면2023-12-30
34한양산업개발(주)경기도 양주시 광적면 석우리 43 (44-1,-4,-26,45,45-1,46-1,47-1,-11)15레미콘031-836-6184광적면2023-12-30
45(주)새한비료경기도 양주시 광적면 덕도리 809-29질소화합물031-871-3568광적면2023-12-30
56㈜삼원기연 제2공장경기도 양주시 광적면 가납리 271-83산업용냉동장비,주방기기031-836-6680광적면2023-12-30
67삼일전자산업(주)경기도 양주시 광적면 가납리 441 (441-11)13유사반도체031-836-3955광적면2023-12-30
78㈜성산레텍경기도 양주시 광적면 가납리 585 (585-4,586)31원피가공031-877-0787광적면2023-12-30
89창원화학공업사경기도 양주시 광적면 광석리 432-3 (430-11)9인쇄관련기031-836-9645광적면2023-12-30
910아성기계㈜경기도 양주시 광적면 가납리 417-1 (-3,423-3)9섬유기계031-836-1426광적면2023-12-30
연번회사명소재지 (지번)종업원수생산품전화번호행정동데이터기준일자
24872488랩앤피플㈜경기도 양주시 옥정동 419-321의료용품<NA>회천4동2023-12-30
24882489㈜선경경기도 양주시 봉양동 411-65섬유가공기계031-859-6763회천4동2023-12-30
24892490선경기계경기도 양주시 봉양동 411-193섬유가공기계031-859-6763회천4동2023-12-30
24902491와이디컴퍼니 양주지점경기도 양주시 회암동 36-135의류02-921-9513회천4동2023-12-30
24912492글로벌베딩서비스㈜경기도 양주시 봉양동 19910원단,솜02-913-7979회천4동2023-12-30
24922493정우팩토리경기도 양주시 회암동 315-7,아동6마스크070-8830-0160회천4동2023-12-30
24932494㈜미광그린경기도 양주시 회암동 244-11 (-12,246-3)2화분,제설함,조경탑032-566-6994회천4동2023-12-30
24942495한다헬스케어㈜ 2공장경기도 양주시 율정동 164-130마스크031-846-3395회천4동2023-12-30
24952496레이어슬립경기도 양주시 율정동 55-5 (55,55-20)4침대070-0530-5904회천4동2023-12-30
24962497㈜파로스경기도 양주시 옥정동 967-1 폴리 프라자 404호4cctv, nvs, 출입통제시스템, 동보장치031-879-8770회천4동2023-12-30