Overview

Dataset statistics

Number of variables8
Number of observations148
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.7 KiB
Average record size in memory66.9 B

Variable types

Text4
Categorical1
Numeric2
DateTime1

Dataset

Description도봉구에 위치하고 있는 등록 공장 현황 데이터(시설명, 주소, 생산품등)
Author서울특별시 도봉구
URLhttps://www.data.go.kr/data/15028111/fileData.do

Alerts

데이터기준일 has constant value ""Constant

Reproduction

Analysis started2023-12-12 14:57:02.637312
Analysis finished2023-12-12 14:57:04.439713
Duration1.8 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct147
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:57:04.696985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length5.8378378
Min length2

Characters and Unicode

Total characters864
Distinct characters219
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

Unique146 ?
Unique (%)98.6%

Sample

1st row(주)대웅텔레콤
2nd row(주)신흥섬유
3rd row(주)이레씨앤피
4th row(주)킴스힐
5th row(주)타래모드
ValueCountFrequency (%)
주식회사 7
 
4.4%
주)랑셀 2
 
1.2%
주)삼원파워텍 1
 
0.6%
신안섬유 1
 
0.6%
혜성섬유 1
 
0.6%
호영사 1
 
0.6%
사)장애인녹색일자리사랑회 1
 
0.6%
창호사업단 1
 
0.6%
주)동서에이보이 1
 
0.6%
주)씨에스티씨 1
 
0.6%
Other values (143) 143
89.4%
2023-12-12T23:57:05.212159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 48
 
5.6%
( 40
 
4.6%
) 40
 
4.6%
유 39
 
4.5%
사 31
 
3.6%
섬 30
 
3.5%
이 23
 
2.7%
업 22
 
2.5%
진 12
 
1.4%
12
 
1.4%
Other values (209) 567
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 750
86.8%
Open Punctuation 40
 
4.6%
Close Punctuation 40
 
4.6%
Uppercase Letter 15
 
1.7%
Space Separator 12
 
1.4%
Lowercase Letter 3
 
0.3%
Other Punctuation 2
 
0.2%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 48
 
6.4%
유 39
 
5.2%
사 31
 
4.1%
섬 30
 
4.0%
이 23
 
3.1%
업 22
 
2.9%
진 12
 
1.6%
식 12
 
1.6%
회 12
 
1.6%
신 11
 
1.5%
Other values (186) 510
68.0%
Uppercase Letter
ValueCountFrequency (%)
K 2
13.3%
N 2
13.3%
A 1
 
6.7%
V 1
 
6.7%
S 1
 
6.7%
F 1
 
6.7%
H 1
 
6.7%
C 1
 
6.7%
E 1
 
6.7%
T 1
 
6.7%
Other values (3) 3
20.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
33.3%
o 1
33.3%
s 1
33.3%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
& 1
50.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 750
86.8%
Common 96
 
11.1%
Latin 18
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 48
 
6.4%
유 39
 
5.2%
사 31
 
4.1%
섬 30
 
4.0%
이 23
 
3.1%
업 22
 
2.9%
진 12
 
1.6%
식 12
 
1.6%
회 12
 
1.6%
신 11
 
1.5%
Other values (186) 510
68.0%
Latin
ValueCountFrequency (%)
K 2
 
11.1%
N 2
 
11.1%
A 1
 
5.6%
V 1
 
5.6%
S 1
 
5.6%
x 1
 
5.6%
o 1
 
5.6%
s 1
 
5.6%
F 1
 
5.6%
H 1
 
5.6%
Other values (6) 6
33.3%
Common
ValueCountFrequency (%)
( 40
41.7%
) 40
41.7%
12
 
12.5%
/ 1
 
1.0%
1 1
 
1.0%
2 1
 
1.0%
& 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 750
86.8%
ASCII 114
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 48
 
6.4%
유 39
 
5.2%
사 31
 
4.1%
섬 30
 
4.0%
이 23
 
3.1%
업 22
 
2.9%
진 12
 
1.6%
식 12
 
1.6%
회 12
 
1.6%
신 11
 
1.5%
Other values (186) 510
68.0%
ASCII
ValueCountFrequency (%)
( 40
35.1%
) 40
35.1%
12
 
10.5%
K 2
 
1.8%
N 2
 
1.8%
/ 1
 
0.9%
A 1
 
0.9%
V 1
 
0.9%
S 1
 
0.9%
x 1
 
0.9%
Other values (13) 13
 
11.4%

동구분
Categorical

Distinct8
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
창동
63 
방학동
39 
쌍문동
32 
도봉동
9 
방학2동
 
2
Other values (3)
 
3

Length

Max length4
Median length3
Mean length2.5945946
Min length2

Unique

Unique3 ?
Unique (%)2.0%

Sample

1st row창동
2nd row창동
3rd row쌍문동
4th row창동
5th row방학동

Common Values

ValueCountFrequency (%)
창동 63
42.6%
방학동 39
26.4%
쌍문동 32
21.6%
도봉동 9
 
6.1%
방학2동 2
 
1.4%
방학3동 1
 
0.7%
창3동 1
 
0.7%
창2동 1
 
0.7%

Length

2023-12-12T23:57:05.408623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:57:05.562607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창동 63
42.6%
방학동 39
26.4%
쌍문동 32
21.6%
도봉동 9
 
6.1%
방학2동 2
 
1.4%
방학3동 1
 
0.7%
창3동 1
 
0.7%
창2동 1
 
0.7%

주소
Text

Distinct146
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:57:05.876364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length21.108108
Min length6

Characters and Unicode

Total characters3124
Distinct characters91
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

Unique144 ?
Unique (%)97.3%

Sample

1st row도봉구 덕릉로59길 15-26 (창동, 창동근린생활시설)
2nd row도봉구 덕릉로53길 50 (창동)
3rd row도봉구 도봉로137길 47, 지층 (쌍문동)
4th row도봉구 노해로63다길 53, 4층 (창동, 한영빌딩)
5th row도봉구 시루봉로23길 1, 2층 (방학동)
ValueCountFrequency (%)
도봉구 148
22.6%
창동 65
 
9.9%
방학동 41
 
6.2%
쌍문동 33
 
5.0%
지층 13
 
2.0%
2층 11
 
1.7%
지하1층 10
 
1.5%
도당로 9
 
1.4%
우이천로 9
 
1.4%
도봉동 9
 
1.4%
Other values (213) 308
47.0%
2023-12-12T23:57:06.382221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
528
16.9%
도 221
 
7.1%
봉 213
 
6.8%
동 152
 
4.9%
구 148
 
4.7%
1 146
 
4.7%
( 143
 
4.6%
) 143
 
4.6%
로 141
 
4.5%
길 96
 
3.1%
Other values (81) 1193
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1572
50.3%
Decimal Number 629
20.1%
Space Separator 528
 
16.9%
Open Punctuation 143
 
4.6%
Close Punctuation 143
 
4.6%
Other Punctuation 70
 
2.2%
Dash Punctuation 31
 
1.0%
Uppercase Letter 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 221
14.1%
봉 213
13.5%
동 152
 
9.7%
구 148
 
9.4%
로 141
 
9.0%
길 96
 
6.1%
창 66
 
4.2%
학 52
 
3.3%
방 52
 
3.3%
층 49
 
3.1%
Other values (61) 382
24.3%
Decimal Number
ValueCountFrequency (%)
1 146
23.2%
2 87
13.8%
3 69
11.0%
6 67
10.7%
0 58
 
9.2%
4 54
 
8.6%
5 46
 
7.3%
9 40
 
6.4%
7 38
 
6.0%
8 24
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
37.5%
H 2
25.0%
S 2
25.0%
A 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 68
97.1%
. 2
 
2.9%
Space Separator
ValueCountFrequency (%)
528
100.0%
Open Punctuation
ValueCountFrequency (%)
( 143
100.0%
Close Punctuation
ValueCountFrequency (%)
) 143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1572
50.3%
Common 1544
49.4%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 221
14.1%
봉 213
13.5%
동 152
 
9.7%
구 148
 
9.4%
로 141
 
9.0%
길 96
 
6.1%
창 66
 
4.2%
학 52
 
3.3%
방 52
 
3.3%
층 49
 
3.1%
Other values (61) 382
24.3%
Common
ValueCountFrequency (%)
528
34.2%
1 146
 
9.5%
( 143
 
9.3%
) 143
 
9.3%
2 87
 
5.6%
3 69
 
4.5%
, 68
 
4.4%
6 67
 
4.3%
0 58
 
3.8%
4 54
 
3.5%
Other values (6) 181
 
11.7%
Latin
ValueCountFrequency (%)
B 3
37.5%
H 2
25.0%
S 2
25.0%
A 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1572
50.3%
ASCII 1552
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
528
34.0%
1 146
 
9.4%
( 143
 
9.2%
) 143
 
9.2%
2 87
 
5.6%
3 69
 
4.4%
, 68
 
4.4%
6 67
 
4.3%
0 58
 
3.7%
4 54
 
3.5%
Other values (10) 189
 
12.2%
Hangul
ValueCountFrequency (%)
도 221
14.1%
봉 213
13.5%
동 152
 
9.7%
구 148
 
9.4%
로 141
 
9.0%
길 96
 
6.1%
창 66
 
4.2%
학 52
 
3.3%
방 52
 
3.3%
층 49
 
3.1%
Other values (61) 382
24.3%

위도
Real number (ℝ)

Distinct137
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.654208
Minimum37.63349
Maximum37.68693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:06.572264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.63349
5-th percentile37.637636
Q137.643217
median37.653005
Q337.66449
95-th percentile37.67143
Maximum37.68693
Range0.05344
Interquartile range (IQR)0.0212725

Descriptive statistics

Standard deviation0.012001115
Coefficient of variation (CV)0.0003187191
Kurtosis-0.79757254
Mean37.654208
Median Absolute Deviation (MAD)0.010155
Skewness0.28243694
Sum5572.8227
Variance0.00014402676
MonotonicityNot monotonic
2023-12-12T23:57:06.738030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.66458 4
 
2.7%
37.664 2
 
1.4%
37.63472 2
 
1.4%
37.67093 2
 
1.4%
37.64345 2
 
1.4%
37.66449 2
 
1.4%
37.64297 2
 
1.4%
37.65528 2
 
1.4%
37.65125 2
 
1.4%
37.67057 1
 
0.7%
Other values (127) 127
85.8%
ValueCountFrequency (%)
37.63349 1
0.7%
37.6341 1
0.7%
37.63472 2
1.4%
37.63582 1
0.7%
37.63616 1
0.7%
37.63744 1
0.7%
37.63751 1
0.7%
37.63787 1
0.7%
37.63855 1
0.7%
37.63936 1
0.7%
ValueCountFrequency (%)
37.68693 1
0.7%
37.68611 1
0.7%
37.68032 1
0.7%
37.67856 1
0.7%
37.67405 1
0.7%
37.67394 1
0.7%
37.67196 1
0.7%
37.67149 1
0.7%
37.67132 1
0.7%
37.67093 2
1.4%

경도
Real number (ℝ)

Distinct135
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.03667
Minimum127.01284
Maximum127.05368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T23:57:06.902387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01284
5-th percentile127.02362
Q1127.03465
median127.03681
Q3127.04027
95-th percentile127.04568
Maximum127.05368
Range0.04084
Interquartile range (IQR)0.00562

Descriptive statistics

Standard deviation0.0066773631
Coefficient of variation (CV)5.2562483 × 10-5
Kurtosis2.6468418
Mean127.03667
Median Absolute Deviation (MAD)0.00298
Skewness-1.1098431
Sum18801.428
Variance4.4587177 × 10-5
MonotonicityNot monotonic
2023-12-12T23:57:07.079703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.03593 4
 
2.7%
127.03442 2
 
1.4%
127.03954 2
 
1.4%
127.03505 2
 
1.4%
127.04103 2
 
1.4%
127.02968 2
 
1.4%
127.04228 2
 
1.4%
127.03596 2
 
1.4%
127.03541 2
 
1.4%
127.0324 2
 
1.4%
Other values (125) 126
85.1%
ValueCountFrequency (%)
127.01284 1
0.7%
127.01382 1
0.7%
127.01509 1
0.7%
127.01564 1
0.7%
127.01752 1
0.7%
127.02318 1
0.7%
127.0233 1
0.7%
127.02353 1
0.7%
127.02379 1
0.7%
127.02432 1
0.7%
ValueCountFrequency (%)
127.05368 1
0.7%
127.0506 1
0.7%
127.04956 1
0.7%
127.04895 1
0.7%
127.04688 1
0.7%
127.04575 1
0.7%
127.0457 1
0.7%
127.04569 1
0.7%
127.04565 1
0.7%
127.04522 1
0.7%

생산품
Text

Distinct97
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:57:07.334792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length5.8040541
Min length2

Characters and Unicode

Total characters859
Distinct characters206
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

Unique91 ?
Unique (%)61.5%

Sample

1st row음향기기,CCTV
2nd row양말
3rd row의류, 가방
4th row간판
5th row스포츠의류(트레이닝복,티셔츠,벤치코트,오리털점퍼등)
ValueCountFrequency (%)
양말 33
 
18.1%
양말편조 9
 
4.9%
의류,가방 6
 
3.3%
의류 6
 
3.3%
기타 5
 
2.7%
가방 4
 
2.2%
및 3
 
1.6%
등 3
 
1.6%
외 2
 
1.1%
침구류 2
 
1.1%
Other values (104) 109
59.9%
2023-12-12T23:57:07.666497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 54
 
6.3%
양 45
 
5.2%
말 45
 
5.2%
34
 
4.0%
기 29
 
3.4%
류 27
 
3.1%
의 26
 
3.0%
조 21
 
2.4%
제 19
 
2.2%
스 19
 
2.2%
Other values (196) 540
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 740
86.1%
Other Punctuation 55
 
6.4%
Space Separator 34
 
4.0%
Uppercase Letter 16
 
1.9%
Close Punctuation 5
 
0.6%
Open Punctuation 5
 
0.6%
Lowercase Letter 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 45
 
6.1%
말 45
 
6.1%
기 29
 
3.9%
류 27
 
3.6%
의 26
 
3.5%
조 21
 
2.8%
제 19
 
2.6%
스 19
 
2.6%
품 18
 
2.4%
방 14
 
1.9%
Other values (180) 477
64.5%
Uppercase Letter
ValueCountFrequency (%)
C 4
25.0%
L 2
12.5%
E 2
12.5%
V 2
12.5%
T 2
12.5%
D 2
12.5%
I 1
 
6.2%
P 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
v 1
25.0%
t 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 54
98.2%
. 1
 
1.8%
Space Separator
ValueCountFrequency (%)
34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 740
86.1%
Common 99
 
11.5%
Latin 20
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 45
 
6.1%
말 45
 
6.1%
기 29
 
3.9%
류 27
 
3.6%
의 26
 
3.5%
조 21
 
2.8%
제 19
 
2.6%
스 19
 
2.6%
품 18
 
2.4%
방 14
 
1.9%
Other values (180) 477
64.5%
Latin
ValueCountFrequency (%)
C 4
20.0%
L 2
10.0%
E 2
10.0%
c 2
10.0%
V 2
10.0%
T 2
10.0%
D 2
10.0%
I 1
 
5.0%
P 1
 
5.0%
v 1
 
5.0%
Common
ValueCountFrequency (%)
, 54
54.5%
34
34.3%
) 5
 
5.1%
( 5
 
5.1%
. 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 740
86.1%
ASCII 119
 
13.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 54
45.4%
34
28.6%
) 5
 
4.2%
( 5
 
4.2%
C 4
 
3.4%
L 2
 
1.7%
E 2
 
1.7%
c 2
 
1.7%
V 2
 
1.7%
T 2
 
1.7%
Other values (6) 7
 
5.9%
Hangul
ValueCountFrequency (%)
양 45
 
6.1%
말 45
 
6.1%
기 29
 
3.9%
류 27
 
3.6%
의 26
 
3.5%
조 21
 
2.8%
제 19
 
2.6%
스 19
 
2.6%
품 18
 
2.4%
방 14
 
1.9%
Other values (180) 477
64.5%

업종명
Text

Distinct91
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:57:07.916370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length16.074324
Min length7

Characters and Unicode

Total characters2379
Distinct characters170
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

Unique75 ?
Unique (%)50.7%

Sample

1st row라디오, 녹음 및 재생 기기 제조업 외 1 종
2nd row스타킹 및 기타양말 제조업
3rd row남자용 정장 제조업 외 22 종
4th row전시 및 광고용 조명장치 제조업 외 1 종
5th row셔츠 및 체육복 제조업 외 1 종
ValueCountFrequency (%)
제조업 136
18.1%
및 97
 
12.9%
종 60
 
8.0%
외 60
 
8.0%
스타킹 43
 
5.7%
기타양말 43
 
5.7%
1 24
 
3.2%
기타 19
 
2.5%
2 9
 
1.2%
관련제품 8
 
1.1%
Other values (140) 254
33.7%
2023-12-12T23:57:08.269355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
605
25.4%
제 160
 
6.7%
조 156
 
6.6%
업 153
 
6.4%
타 113
 
4.7%
및 98
 
4.1%
기 93
 
3.9%
외 67
 
2.8%
종 62
 
2.6%
스 51
 
2.1%
Other values (160) 821
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1680
70.6%
Space Separator 605
 
25.4%
Decimal Number 77
 
3.2%
Other Punctuation 17
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 160
 
9.5%
조 156
 
9.3%
업 153
 
9.1%
타 113
 
6.7%
및 98
 
5.8%
기 93
 
5.5%
외 67
 
4.0%
종 62
 
3.7%
스 51
 
3.0%
말 43
 
2.6%
Other values (149) 684
40.7%
Decimal Number
ValueCountFrequency (%)
1 30
39.0%
2 24
31.2%
3 11
 
14.3%
4 3
 
3.9%
5 2
 
2.6%
9 2
 
2.6%
7 2
 
2.6%
6 2
 
2.6%
8 1
 
1.3%
Space Separator
ValueCountFrequency (%)
605
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1680
70.6%
Common 699
29.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 160
 
9.5%
조 156
 
9.3%
업 153
 
9.1%
타 113
 
6.7%
및 98
 
5.8%
기 93
 
5.5%
외 67
 
4.0%
종 62
 
3.7%
스 51
 
3.0%
말 43
 
2.6%
Other values (149) 684
40.7%
Common
ValueCountFrequency (%)
605
86.6%
1 30
 
4.3%
2 24
 
3.4%
, 17
 
2.4%
3 11
 
1.6%
4 3
 
0.4%
5 2
 
0.3%
9 2
 
0.3%
7 2
 
0.3%
6 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1680
70.6%
ASCII 699
29.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
605
86.6%
1 30
 
4.3%
2 24
 
3.4%
, 17
 
2.4%
3 11
 
1.6%
4 3
 
0.4%
5 2
 
0.3%
9 2
 
0.3%
7 2
 
0.3%
6 2
 
0.3%
Hangul
ValueCountFrequency (%)
제 160
 
9.5%
조 156
 
9.3%
업 153
 
9.1%
타 113
 
6.7%
및 98
 
5.8%
기 93
 
5.5%
외 67
 
4.0%
종 62
 
3.7%
스 51
 
3.0%
말 43
 
2.6%
Other values (149) 684
40.7%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-01-01 00:00:00
Maximum2018-01-01 00:00:00
2023-12-12T23:57:08.365106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:08.446161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:57:03.933110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:03.708100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:04.038500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:03.790900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:57:08.508677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동구분위도경도생산품업종명
동구분1.0000.7490.5450.0000.000
위도0.7491.0000.6300.7900.817
경도0.5450.6301.0000.9170.898
생산품0.0000.7900.9171.0000.999
업종명0.0000.8170.8980.9991.000
2023-12-12T23:57:08.586090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도동구분
위도1.0000.1340.480
경도0.1341.0000.294
동구분0.4800.2941.000

Missing values

2023-12-12T23:57:04.215119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:57:04.383061image/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

시설명동구분주소위도경도생산품업종명데이터기준일
0(주)대웅텔레콤창동도봉구 덕릉로59길 15-26 (창동, 창동근린생활시설)37.63968127.0377음향기기,CCTV라디오, 녹음 및 재생 기기 제조업 외 1 종2018-01-01
1(주)신흥섬유창동도봉구 덕릉로53길 50 (창동)37.63936127.03534양말스타킹 및 기타양말 제조업2018-01-01
2(주)이레씨앤피쌍문동도봉구 도봉로137길 47, 지층 (쌍문동)37.6611127.03978의류, 가방남자용 정장 제조업 외 22 종2018-01-01
3(주)킴스힐창동도봉구 노해로63다길 53, 4층 (창동, 한영빌딩)37.65513127.04565간판전시 및 광고용 조명장치 제조업 외 1 종2018-01-01
4(주)타래모드방학동도봉구 시루봉로23길 1, 2층 (방학동)37.67093127.03954스포츠의류(트레이닝복,티셔츠,벤치코트,오리털점퍼등)셔츠 및 체육복 제조업 외 1 종2018-01-01
5(주)한일플라스틱창동도봉구 도봉로104길 88 (창동)37.64345127.03689합성수지 필름플라스틱 필름, 시트 및 판 제조업 외 1 종2018-01-01
6(주)협진방학동도봉구 도당로13다길 21, 지하1층 (방학동)37.66571127.03334의류, 가방남자용 정장 제조업 외 23 종2018-01-01
7(주)대지유리창동도봉구 해등로 124 (창동)37.65455127.04103유리판유리 제조업 외 1 종2018-01-01
8(주)혜성니트쌍문동도봉구 우이천로 296, 지하1층 (쌍문동)37.64417127.02968스웨터(의류)편조의복 제조업 외 1 종2018-01-01
9F&B메디(미소인)창동도봉구 해등로 133-23 (창동)37.65528127.03994병원의복근무복, 작업복 및 유사의복 제조업 외 3 종2018-01-01
시설명동구분주소위도경도생산품업종명데이터기준일
138삼한섬유방학동도봉구 도봉로 667, 3층 (방학동)37.664127.04228의류침구 및 관련제품 제조업 외 12 종2018-01-01
139선유방학동도봉구 도당로 66 (방학동)37.66382127.03505의류,잡화 견장남자용 정장 제조업 외 22 종2018-01-01
140엔티유시스템방학동도봉구 도당로 55, 2층 (방학동)37.6631127.03442방송장비 제조방송장비 제조업 외 5 종2018-01-01
141엘에이치컴퍼니쌍문동도봉구 노해로 217, B01호 (쌍문동, 쌍문동 H.S 빌딩)37.65125127.0324핸드백,지갑,폰케이스,패션잡화가방 및 기타 보호용 케이스 제조업 외 1 종2018-01-01
142주식회사 아가페패션방학동도봉구 도당로 76, 402호 (방학동)37.66458127.03593의류,가방침구 및 관련제품 제조업 외 29 종2018-01-01
143주식회사 에이치앤케이 인터내셔널쌍문동도봉구 우이천로34길 10, 2층 (쌍문동)37.64933127.0233남성정장남자용 정장 제조업 외 4 종2018-01-01
144주식회사 엘림패션방학동도봉구 도당로 89, 2층 (방학동)37.66557127.03679의류,가방침구 및 관련제품 제조업 외 27 종2018-01-01
145가람섬유방학동도봉구 도봉로 667, 대현빌딩 4층 (방학동)37.664127.04228티셔츠,생활복,운동복셔츠 및 체육복 제조업 외 1 종2018-01-01
146다미인창동도봉구 덕릉로59가길 9, 2층 (창동)37.64127.03858의료기기(석션고주파)그외 기타 의료용 기기 제조업2018-01-01
147삼안기획창동도봉구 도봉로136다길 26-1, 1,2층 (창동)37.66045127.04279간판 및 광고물간판 및 광고물 제조업 외 3 종2018-01-01