Overview

Dataset statistics

Number of variables6
Number of observations3398
Missing cells111
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory162.7 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Text5

Dataset

Description부천시 공장등록 현황에 대한 데이터로 회사명, 공장주소(도로명), 전화번호, 업종명, 생산품 등의 정보를 제공합니다.
Author경기도 부천시
URLhttps://www.data.go.kr/data/3039478/fileData.do

Alerts

전화번호 has 109 (3.2%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:08:39.917470
Analysis finished2023-12-12 11:08:42.087671
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct3398
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1699.5
Minimum1
Maximum3398
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.0 KiB
2023-12-12T20:08:42.225288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile170.85
Q1850.25
median1699.5
Q32548.75
95-th percentile3228.15
Maximum3398
Range3397
Interquartile range (IQR)1698.5

Descriptive statistics

Standard deviation981.06243
Coefficient of variation (CV)0.57726533
Kurtosis-1.2
Mean1699.5
Median Absolute Deviation (MAD)849.5
Skewness0
Sum5774901
Variance962483.5
MonotonicityStrictly increasing
2023-12-12T20:08:42.462692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2259 1
 
< 0.1%
2261 1
 
< 0.1%
2262 1
 
< 0.1%
2263 1
 
< 0.1%
2264 1
 
< 0.1%
2265 1
 
< 0.1%
2266 1
 
< 0.1%
2267 1
 
< 0.1%
2268 1
 
< 0.1%
Other values (3388) 3388
99.7%
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 (%)
3398 1
< 0.1%
3397 1
< 0.1%
3396 1
< 0.1%
3395 1
< 0.1%
3394 1
< 0.1%
3393 1
< 0.1%
3392 1
< 0.1%
3391 1
< 0.1%
3390 1
< 0.1%
3389 1
< 0.1%

회사명
Text

Distinct3290
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size26.7 KiB
2023-12-12T20:08:42.873828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length7.0150088
Min length1

Characters and Unicode

Total characters23837
Distinct characters616
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3201 ?
Unique (%)94.2%

Sample

1st row(사)열린정보장애인협회
2nd row(주) 네오안전플러스
3rd row(주) 아머드 프레시
4th row(주)M.I.T
5th row(주)SECO
ValueCountFrequency (%)
주식회사 265
 
7.1%
무 8
 
0.2%
tech 6
 
0.2%
우진정밀 4
 
0.1%
거화환경산업(주 3
 
0.1%
주 3
 
0.1%
주)대영정공디씨 3
 
0.1%
주)대영초음파 3
 
0.1%
신우전기제조(주 3
 
0.1%
주)자니타스코리아 3
 
0.1%
Other values (3336) 3450
92.0%
2023-12-12T20:08:44.056394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2191
 
9.2%
) 1891
 
7.9%
( 1890
 
7.9%
이 839
 
3.5%
스 697
 
2.9%
사 407
 
1.7%
에 405
 
1.7%
크 363
 
1.5%
356
 
1.5%
아 332
 
1.4%
Other values (606) 14466
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19204
80.6%
Close Punctuation 1891
 
7.9%
Open Punctuation 1890
 
7.9%
Space Separator 356
 
1.5%
Uppercase Letter 338
 
1.4%
Lowercase Letter 86
 
0.4%
Other Punctuation 31
 
0.1%
Decimal Number 29
 
0.1%
Other Symbol 7
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2191
 
11.4%
이 839
 
4.4%
스 697
 
3.6%
사 407
 
2.1%
에 405
 
2.1%
크 363
 
1.9%
아 332
 
1.7%
테 327
 
1.7%
업 327
 
1.7%
식 310
 
1.6%
Other values (552) 13006
67.7%
Uppercase Letter
ValueCountFrequency (%)
S 40
11.8%
E 37
 
10.9%
T 31
 
9.2%
C 30
 
8.9%
M 26
 
7.7%
A 20
 
5.9%
G 18
 
5.3%
N 17
 
5.0%
L 14
 
4.1%
P 12
 
3.6%
Other values (14) 93
27.5%
Lowercase Letter
ValueCountFrequency (%)
e 13
15.1%
c 9
10.5%
s 8
9.3%
h 7
8.1%
o 7
8.1%
t 6
 
7.0%
a 6
 
7.0%
n 5
 
5.8%
l 5
 
5.8%
i 4
 
4.7%
Other values (8) 16
18.6%
Decimal Number
ValueCountFrequency (%)
2 14
48.3%
1 9
31.0%
3 4
 
13.8%
5 1
 
3.4%
9 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
& 16
51.6%
. 15
48.4%
Close Punctuation
ValueCountFrequency (%)
) 1891
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1890
100.0%
Space Separator
ValueCountFrequency (%)
356
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19209
80.6%
Common 4202
 
17.6%
Latin 424
 
1.8%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2191
 
11.4%
이 839
 
4.4%
스 697
 
3.6%
사 407
 
2.1%
에 405
 
2.1%
크 363
 
1.9%
아 332
 
1.7%
테 327
 
1.7%
업 327
 
1.7%
식 310
 
1.6%
Other values (551) 13011
67.7%
Latin
ValueCountFrequency (%)
S 40
 
9.4%
E 37
 
8.7%
T 31
 
7.3%
C 30
 
7.1%
M 26
 
6.1%
A 20
 
4.7%
G 18
 
4.2%
N 17
 
4.0%
L 14
 
3.3%
e 13
 
3.1%
Other values (32) 178
42.0%
Common
ValueCountFrequency (%)
) 1891
45.0%
( 1890
45.0%
356
 
8.5%
& 16
 
0.4%
. 15
 
0.4%
2 14
 
0.3%
1 9
 
0.2%
- 5
 
0.1%
3 4
 
0.1%
5 1
 
< 0.1%
Han
ValueCountFrequency (%)
一 1
50.0%
信 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19202
80.6%
ASCII 4626
 
19.4%
None 7
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2191
 
11.4%
이 839
 
4.4%
스 697
 
3.6%
사 407
 
2.1%
에 405
 
2.1%
크 363
 
1.9%
아 332
 
1.7%
테 327
 
1.7%
업 327
 
1.7%
식 310
 
1.6%
Other values (550) 13004
67.7%
ASCII
ValueCountFrequency (%)
) 1891
40.9%
( 1890
40.9%
356
 
7.7%
S 40
 
0.9%
E 37
 
0.8%
T 31
 
0.7%
C 30
 
0.6%
M 26
 
0.6%
A 20
 
0.4%
G 18
 
0.4%
Other values (43) 287
 
6.2%
None
ValueCountFrequency (%)
㈜ 7
100.0%
CJK
ValueCountFrequency (%)
一 1
50.0%
信 1
50.0%

공장대표주소(도로명)
Text

Distinct3312
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size26.7 KiB
2023-12-12T20:08:44.586047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length75
Mean length33.046792
Min length16

Characters and Unicode

Total characters112293
Distinct characters302
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3231 ?
Unique (%)95.1%

Sample

1st row경기도 부천시 석천로 397. 301동 10층 02 (삼정동. 부천테크노파크쌍용3차)
2nd row경기도 부천시 옥산로 265 (내동) 2층
3rd row경기도 부천시 부천로439번길 67 (내동) 1층.2층
4th row경기도 부천시부천로 348 (도당동)
5th row경기도 부천시 신흥로469번길 26 (내동)
ValueCountFrequency (%)
경기도 3398
 
15.0%
부천시 3184
 
14.0%
삼정동 786
 
3.5%
도당동 690
 
3.0%
내동 455
 
2.0%
석천로 416
 
1.8%
춘의동 408
 
1.8%
2층 297
 
1.3%
397 287
 
1.3%
3층 279
 
1.2%
Other values (2174) 12491
55.0%
2023-12-12T20:08:45.389893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19359
 
17.2%
천 5248
 
4.7%
1 4722
 
4.2%
부 4645
 
4.1%
동 4566
 
4.1%
도 4475
 
4.0%
경 3493
 
3.1%
) 3487
 
3.1%
( 3487
 
3.1%
3 3418
 
3.0%
Other values (292) 55393
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57607
51.3%
Decimal Number 24078
21.4%
Space Separator 19359
 
17.2%
Close Punctuation 3487
 
3.1%
Open Punctuation 3487
 
3.1%
Other Punctuation 3192
 
2.8%
Uppercase Letter 502
 
0.4%
Dash Punctuation 450
 
0.4%
Lowercase Letter 87
 
0.1%
Math Symbol 32
 
< 0.1%
Other values (2) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 5248
 
9.1%
부 4645
 
8.1%
동 4566
 
7.9%
도 4475
 
7.8%
경 3493
 
6.1%
기 3415
 
5.9%
시 3409
 
5.9%
로 3388
 
5.9%
층 2100
 
3.6%
길 2070
 
3.6%
Other values (245) 20798
36.1%
Uppercase Letter
ValueCountFrequency (%)
B 204
40.6%
I 89
17.7%
D 66
 
13.1%
A 66
 
13.1%
C 32
 
6.4%
U 13
 
2.6%
S 6
 
1.2%
L 4
 
0.8%
G 4
 
0.8%
P 4
 
0.8%
Other values (9) 14
 
2.8%
Decimal Number
ValueCountFrequency (%)
1 4722
19.6%
3 3418
14.2%
2 3414
14.2%
0 3090
12.8%
4 2164
9.0%
8 1605
 
6.7%
5 1570
 
6.5%
7 1466
 
6.1%
9 1319
 
5.5%
6 1310
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 24
27.6%
c 12
13.8%
n 12
13.8%
r 12
13.8%
t 12
13.8%
y 11
12.6%
b 2
 
2.3%
d 1
 
1.1%
a 1
 
1.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
71.4%
Ⅰ 2
 
28.6%
Space Separator
ValueCountFrequency (%)
19359
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3487
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3487
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3192
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 450
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57612
51.3%
Common 54085
48.2%
Latin 596
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 5248
 
9.1%
부 4645
 
8.1%
동 4566
 
7.9%
도 4475
 
7.8%
경 3493
 
6.1%
기 3415
 
5.9%
시 3409
 
5.9%
로 3388
 
5.9%
층 2100
 
3.6%
길 2070
 
3.6%
Other values (246) 20803
36.1%
Latin
ValueCountFrequency (%)
B 204
34.2%
I 89
14.9%
D 66
 
11.1%
A 66
 
11.1%
C 32
 
5.4%
e 24
 
4.0%
U 13
 
2.2%
c 12
 
2.0%
n 12
 
2.0%
r 12
 
2.0%
Other values (20) 66
 
11.1%
Common
ValueCountFrequency (%)
19359
35.8%
1 4722
 
8.7%
) 3487
 
6.4%
( 3487
 
6.4%
3 3418
 
6.3%
2 3414
 
6.3%
. 3192
 
5.9%
0 3090
 
5.7%
4 2164
 
4.0%
8 1605
 
3.0%
Other values (6) 6147
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57607
51.3%
ASCII 54674
48.7%
Number Forms 7
 
< 0.1%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19359
35.4%
1 4722
 
8.6%
) 3487
 
6.4%
( 3487
 
6.4%
3 3418
 
6.3%
2 3414
 
6.2%
. 3192
 
5.8%
0 3090
 
5.7%
4 2164
 
4.0%
8 1605
 
2.9%
Other values (34) 6736
 
12.3%
Hangul
ValueCountFrequency (%)
천 5248
 
9.1%
부 4645
 
8.1%
동 4566
 
7.9%
도 4475
 
7.8%
경 3493
 
6.1%
기 3415
 
5.9%
시 3409
 
5.9%
로 3388
 
5.9%
층 2100
 
3.6%
길 2070
 
3.6%
Other values (245) 20798
36.1%
None
ValueCountFrequency (%)
㈜ 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
71.4%
Ⅰ 2
 
28.6%

업종명
Text

Distinct829
Distinct (%)24.4%
Missing1
Missing (%)< 0.1%
Memory size26.7 KiB
2023-12-12T20:08:45.898538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length16.944068
Min length3

Characters and Unicode

Total characters57559
Distinct characters324
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique417 ?
Unique (%)12.3%

Sample

1st row일반용 전기 조명장치 제조업
2nd row교통 신호장치 제조업
3rd row기타 식사용 가공처리 조리식품 제조업
4th row무기 및 총포탄 제조업
5th row가정용 전기 난방기기 제조업
ValueCountFrequency (%)
제조업 3148
 
16.9%
외 1840
 
9.9%
종 1421
 
7.6%
및 1359
 
7.3%
기타 943
 
5.1%
1 717
 
3.9%
그 419
 
2.3%
전기 307
 
1.7%
2 300
 
1.6%
주형 236
 
1.3%
Other values (573) 7908
42.5%
2023-12-12T20:08:46.650835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15204
26.4%
제 3897
 
6.8%
조 3613
 
6.3%
업 3509
 
6.1%
기 2822
 
4.9%
외 1860
 
3.2%
종 1439
 
2.5%
및 1363
 
2.4%
장 1120
 
1.9%
용 1077
 
1.9%
Other values (314) 21655
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40462
70.3%
Space Separator 15204
 
26.4%
Decimal Number 1483
 
2.6%
Other Punctuation 380
 
0.7%
Open Punctuation 15
 
< 0.1%
Close Punctuation 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 3897
 
9.6%
조 3613
 
8.9%
업 3509
 
8.7%
기 2822
 
7.0%
외 1860
 
4.6%
종 1439
 
3.6%
및 1363
 
3.4%
장 1120
 
2.8%
용 1077
 
2.7%
타 954
 
2.4%
Other values (300) 18808
46.5%
Decimal Number
ValueCountFrequency (%)
1 772
52.1%
2 318
21.4%
3 125
 
8.4%
4 97
 
6.5%
5 60
 
4.0%
6 40
 
2.7%
7 29
 
2.0%
8 23
 
1.6%
9 14
 
0.9%
0 5
 
0.3%
Space Separator
ValueCountFrequency (%)
15204
100.0%
Other Punctuation
ValueCountFrequency (%)
. 380
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40462
70.3%
Common 17097
29.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 3897
 
9.6%
조 3613
 
8.9%
업 3509
 
8.7%
기 2822
 
7.0%
외 1860
 
4.6%
종 1439
 
3.6%
및 1363
 
3.4%
장 1120
 
2.8%
용 1077
 
2.7%
타 954
 
2.4%
Other values (300) 18808
46.5%
Common
ValueCountFrequency (%)
15204
88.9%
1 772
 
4.5%
. 380
 
2.2%
2 318
 
1.9%
3 125
 
0.7%
4 97
 
0.6%
5 60
 
0.4%
6 40
 
0.2%
7 29
 
0.2%
8 23
 
0.1%
Other values (4) 49
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40457
70.3%
ASCII 17097
29.7%
Compat Jamo 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15204
88.9%
1 772
 
4.5%
. 380
 
2.2%
2 318
 
1.9%
3 125
 
0.7%
4 97
 
0.6%
5 60
 
0.4%
6 40
 
0.2%
7 29
 
0.2%
8 23
 
0.1%
Other values (4) 49
 
0.3%
Hangul
ValueCountFrequency (%)
제 3897
 
9.6%
조 3613
 
8.9%
업 3509
 
8.7%
기 2822
 
7.0%
외 1860
 
4.6%
종 1439
 
3.6%
및 1363
 
3.4%
장 1120
 
2.8%
용 1077
 
2.7%
타 954
 
2.4%
Other values (299) 18803
46.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%

전화번호
Text

MISSING 

Distinct3128
Distinct (%)95.1%
Missing109
Missing (%)3.2%
Memory size26.7 KiB
2023-12-12T20:08:47.051436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.021283
Min length8

Characters and Unicode

Total characters39538
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

Unique2981 ?
Unique (%)90.6%

Sample

1st row02-2677-1004
2nd row02-2069-1574
3rd row02-523-5780
4th row032-676-5555
5th row032-681-8586
ValueCountFrequency (%)
032-679-8222 4
 
0.1%
032-676-4500 3
 
0.1%
032-612-6437 3
 
0.1%
032-672-4022 3
 
0.1%
02-783-0803 3
 
0.1%
032-654-6022 3
 
0.1%
032-651-3401 3
 
0.1%
032-684-1550 3
 
0.1%
032-672-7700 3
 
0.1%
032-667-9952 3
 
0.1%
Other values (3118) 3258
99.1%
2023-12-12T20:08:47.661811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6555
16.6%
0 5815
14.7%
2 5494
13.9%
3 4990
12.6%
6 4046
10.2%
7 3039
7.7%
1 2422
 
6.1%
8 2101
 
5.3%
4 2001
 
5.1%
5 1861
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32983
83.4%
Dash Punctuation 6555
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5815
17.6%
2 5494
16.7%
3 4990
15.1%
6 4046
12.3%
7 3039
9.2%
1 2422
7.3%
8 2101
 
6.4%
4 2001
 
6.1%
5 1861
 
5.6%
9 1214
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 6555
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39538
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6555
16.6%
0 5815
14.7%
2 5494
13.9%
3 4990
12.6%
6 4046
10.2%
7 3039
7.7%
1 2422
 
6.1%
8 2101
 
5.3%
4 2001
 
5.1%
5 1861
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39538
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6555
16.6%
0 5815
14.7%
2 5494
13.9%
3 4990
12.6%
6 4046
10.2%
7 3039
7.7%
1 2422
 
6.1%
8 2101
 
5.3%
4 2001
 
5.1%
5 1861
 
4.7%

생산품
Text

Distinct2782
Distinct (%)81.9%
Missing1
Missing (%)< 0.1%
Memory size26.7 KiB
2023-12-12T20:08:48.100739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length54
Mean length9.184869
Min length1

Characters and Unicode

Total characters31201
Distinct characters693
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

Unique2576 ?
Unique (%)75.8%

Sample

1st rowLED조명
2nd row교통안전 표지판
3rd row식품
4th row무기및총포탄
5th row전기매트 및 온수매트
ValueCountFrequency (%)
등 202
 
3.3%
및 161
 
2.7%
금형 138
 
2.3%
조명기구 68
 
1.1%
전자부품 54
 
0.9%
부품 48
 
0.8%
마스크 43
 
0.7%
화장품 42
 
0.7%
led 36
 
0.6%
플라스틱 33
 
0.5%
Other values (3374) 5229
86.4%
2023-12-12T20:08:48.745346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2674
 
8.6%
기 1764
 
5.7%
. 1618
 
5.2%
품 751
 
2.4%
스 619
 
2.0%
장 582
 
1.9%
전 545
 
1.7%
자 528
 
1.7%
제 496
 
1.6%
용 489
 
1.6%
Other values (683) 21135
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24702
79.2%
Space Separator 2674
 
8.6%
Other Punctuation 1637
 
5.2%
Uppercase Letter 1500
 
4.8%
Lowercase Letter 313
 
1.0%
Open Punctuation 134
 
0.4%
Close Punctuation 133
 
0.4%
Decimal Number 89
 
0.3%
Dash Punctuation 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1764
 
7.1%
품 751
 
3.0%
스 619
 
2.5%
장 582
 
2.4%
전 545
 
2.2%
자 528
 
2.1%
제 496
 
2.0%
용 489
 
2.0%
조 460
 
1.9%
형 428
 
1.7%
Other values (617) 18040
73.0%
Uppercase Letter
ValueCountFrequency (%)
D 219
14.6%
E 211
14.1%
L 187
12.5%
C 183
12.2%
T 99
 
6.6%
V 89
 
5.9%
P 78
 
5.2%
S 71
 
4.7%
R 44
 
2.9%
B 40
 
2.7%
Other values (14) 279
18.6%
Lowercase Letter
ValueCountFrequency (%)
e 41
13.1%
c 26
 
8.3%
t 26
 
8.3%
r 26
 
8.3%
i 22
 
7.0%
o 18
 
5.8%
n 18
 
5.8%
a 17
 
5.4%
s 15
 
4.8%
l 15
 
4.8%
Other values (13) 89
28.4%
Decimal Number
ValueCountFrequency (%)
0 36
40.4%
1 20
22.5%
3 11
 
12.4%
2 7
 
7.9%
4 5
 
5.6%
7 3
 
3.4%
9 2
 
2.2%
5 2
 
2.2%
8 2
 
2.2%
6 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 1618
98.8%
/ 13
 
0.8%
& 3
 
0.2%
' 2
 
0.1%
· 1
 
0.1%
Space Separator
ValueCountFrequency (%)
2674
100.0%
Open Punctuation
ValueCountFrequency (%)
( 134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24702
79.2%
Common 4686
 
15.0%
Latin 1813
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1764
 
7.1%
품 751
 
3.0%
스 619
 
2.5%
장 582
 
2.4%
전 545
 
2.2%
자 528
 
2.1%
제 496
 
2.0%
용 489
 
2.0%
조 460
 
1.9%
형 428
 
1.7%
Other values (617) 18040
73.0%
Latin
ValueCountFrequency (%)
D 219
 
12.1%
E 211
 
11.6%
L 187
 
10.3%
C 183
 
10.1%
T 99
 
5.5%
V 89
 
4.9%
P 78
 
4.3%
S 71
 
3.9%
R 44
 
2.4%
e 41
 
2.3%
Other values (37) 591
32.6%
Common
ValueCountFrequency (%)
2674
57.1%
. 1618
34.5%
( 134
 
2.9%
) 133
 
2.8%
0 36
 
0.8%
1 20
 
0.4%
- 19
 
0.4%
/ 13
 
0.3%
3 11
 
0.2%
2 7
 
0.1%
Other values (9) 21
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24702
79.2%
ASCII 6498
 
20.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2674
41.2%
. 1618
24.9%
D 219
 
3.4%
E 211
 
3.2%
L 187
 
2.9%
C 183
 
2.8%
( 134
 
2.1%
) 133
 
2.0%
T 99
 
1.5%
V 89
 
1.4%
Other values (55) 951
 
14.6%
Hangul
ValueCountFrequency (%)
기 1764
 
7.1%
품 751
 
3.0%
스 619
 
2.5%
장 582
 
2.4%
전 545
 
2.2%
자 528
 
2.1%
제 496
 
2.0%
용 489
 
2.0%
조 460
 
1.9%
형 428
 
1.7%
Other values (617) 18040
73.0%
None
ValueCountFrequency (%)
· 1
100.0%

Interactions

2023-12-12T20:08:41.295220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T20:08:41.543714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:08:41.784392image/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.
2023-12-12T20:08:41.995877image/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)업종명전화번호생산품
01(사)열린정보장애인협회경기도 부천시 석천로 397. 301동 10층 02 (삼정동. 부천테크노파크쌍용3차)일반용 전기 조명장치 제조업02-2677-1004LED조명
12(주) 네오안전플러스경기도 부천시 옥산로 265 (내동) 2층교통 신호장치 제조업02-2069-1574교통안전 표지판
23(주) 아머드 프레시경기도 부천시 부천로439번길 67 (내동) 1층.2층기타 식사용 가공처리 조리식품 제조업02-523-5780식품
34(주)M.I.T경기도 부천시부천로 348 (도당동)무기 및 총포탄 제조업032-676-5555무기및총포탄
45(주)SECO경기도 부천시 신흥로469번길 26 (내동)가정용 전기 난방기기 제조업032-681-8586전기매트 및 온수매트
56(주)TCP로보틱스경기도 부천시평천로862번길 29 (도당동)구름베어링 제조업 외 1 종032-684-1888직선운동시스템
67(주)가나에너지경기도 부천시 평천로812번길 33 (도당동)가정용 전기 난방기기 제조업032-675-3968전열히터
78(주)가스디엔에이(지점)경기도 부천시 경인로 84 (송내동) 4층전기경보 및 신호장치 제조업032-584-7420가스경보기. 적외선온도계
89(주)가온비젼텍경기도 부천시 부천로 301 (도당동) 동양빌딩 가동 B102호기타 절연선 및 케이블 제조업032-674-7236케이블
910(주)가온지앤에프경기도 부천시 조마루로385번길 122. 1512 일부 호(춘의동. 삼보테크노타워) 1512 일부호천연 및 혼합조제 조미료 제조업032-1588-9052식품소스(떡볶이 소스)
순번회사명공장대표주소(도로명)업종명전화번호생산품
33883389휴먼플랜텍경기도 부천시수도로 138. 목성빌딩 309호 (도당동)주방용 전기기기 제조업032-677-4525전기용 조리기
33893390휴웨이브(주)경기도 부천시 경인로392번길 46. B103호 (소사본동)기타 무선 통신장비 제조업032-349-5100통신장비
33903391흥부산업(주) 오정지점경기도 부천시 부천로 471 (오정동)그 외 기타 금속가공업 외 4 종032-677-3240금속 부품 가공품
33913392흥양금속경기도 부천시 부천로435번길 10. 3층 (내동)볼트 및 너트류 제조업 외 6 종032-679-8351봉인.저항태핑
33923393흥일화학경기도 부천시 삼작로171번길 65 (내동)포장용 플라스틱 성형용기 제조업032-674-4238플라스틱용기
33933394흥전테크경기도 부천시 부천로463번길 41 (오정동)절삭가공 및 유사처리업032-673-3224금속선반가공. 전자부품 절삭가공. 프레스 금형가공
33943395희망테크프론경기도 부천시 신흥로470번길 45 (오정동. 희망테크프론)폴리스티렌 발포 성형제품 제조업 외 1 종032-671-1300플라스틱표면가공품
33953396희망테크프론경기도 부천시 신흥로470번길 35 (오정동)도장 및 기타 피막처리업032-671-1300철재성형품
33963397히팅온경기도 부천시 조마루로385번길 122. 15층 06호 (춘의동) 1506 일부호절연 코드세트 및 기타 도체 제조업032-270-6461동파방지 열선키트
33973398힛텍경기도 부천시 수도로 121 (내동) 1층그 외 기타 전기장비 제조업032-684-7838전열기.산업용히터