Overview

Dataset statistics

Number of variables6
Number of observations873
Missing cells49
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.8 KiB
Average record size in memory50.2 B

Variable types

Text4
Numeric2

Dataset

Description석면건축물 해체제거 작업시 석면해체ㆍ제거작업 개시 전까지 석면해체ㆍ제거작업의 안전한 관리를 위하여 석면해체ㆍ제거작업의 감리인 지정해야 한다.석면관리종합망을 통하여 등록한 감리인 등록정보이다
Author한국환경공단
URLhttps://www.data.go.kr/data/15095448/fileData.do

Alerts

감리인_도로명코드 is highly overall correlated with 감리인_법정동코드High correlation
감리인_법정동코드 is highly overall correlated with 감리인_도로명코드High correlation
감리인_상세주소 has 49 (5.6%) missing valuesMissing

Reproduction

Analysis started2024-04-21 02:04:56.038080
Analysis finished2024-04-21 02:04:58.202268
Duration2.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

감리인_사업장명
Text

Distinct858
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-04-21T11:04:58.385899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.654066
Min length5

Characters and Unicode

Total characters9301
Distinct characters342
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

Unique843 ?
Unique (%)96.6%

Sample

1st row(주)디와이환경연구소
2nd row주식회사 더큰
3rd row승건축사사무소
4th row(주)아키엘로건축사사무소
5th row디인싸이트건축사사무소(주)
ValueCountFrequency (%)
건축사사무소 169
 
13.9%
주식회사 99
 
8.2%
종합건축사사무소 19
 
1.6%
주)건축사사무소 12
 
1.0%
주)종합건축사사무소 10
 
0.8%
사무소 6
 
0.5%
사단법인 5
 
0.4%
주 5
 
0.4%
유한회사 3
 
0.2%
서진 3
 
0.2%
Other values (860) 883
72.7%
2024-04-21T11:04:58.756594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1502
16.1%
건 756
 
8.1%
소 734
 
7.9%
축 715
 
7.7%
무 699
 
7.5%
주 394
 
4.2%
343
 
3.7%
( 296
 
3.2%
) 296
 
3.2%
이 154
 
1.7%
Other values (332) 3412
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8310
89.3%
Space Separator 343
 
3.7%
Open Punctuation 296
 
3.2%
Close Punctuation 296
 
3.2%
Uppercase Letter 39
 
0.4%
Decimal Number 11
 
0.1%
Other Punctuation 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1502
18.1%
건 756
 
9.1%
소 734
 
8.8%
축 715
 
8.6%
무 699
 
8.4%
주 394
 
4.7%
이 154
 
1.9%
회 116
 
1.4%
식 108
 
1.3%
종 108
 
1.3%
Other values (305) 3024
36.4%
Uppercase Letter
ValueCountFrequency (%)
N 6
15.4%
A 5
12.8%
C 4
10.3%
S 4
10.3%
M 3
7.7%
E 3
7.7%
I 2
 
5.1%
H 2
 
5.1%
G 2
 
5.1%
R 2
 
5.1%
Other values (5) 6
15.4%
Decimal Number
ValueCountFrequency (%)
1 5
45.5%
2 3
27.3%
0 2
 
18.2%
3 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
343
100.0%
Open Punctuation
ValueCountFrequency (%)
( 296
100.0%
Close Punctuation
ValueCountFrequency (%)
) 296
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8310
89.3%
Common 950
 
10.2%
Latin 41
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1502
18.1%
건 756
 
9.1%
소 734
 
8.8%
축 715
 
8.6%
무 699
 
8.4%
주 394
 
4.7%
이 154
 
1.9%
회 116
 
1.4%
식 108
 
1.3%
종 108
 
1.3%
Other values (305) 3024
36.4%
Latin
ValueCountFrequency (%)
N 6
14.6%
A 5
12.2%
C 4
9.8%
S 4
9.8%
M 3
 
7.3%
E 3
 
7.3%
I 2
 
4.9%
H 2
 
4.9%
G 2
 
4.9%
R 2
 
4.9%
Other values (7) 8
19.5%
Common
ValueCountFrequency (%)
343
36.1%
( 296
31.2%
) 296
31.2%
1 5
 
0.5%
2 3
 
0.3%
. 2
 
0.2%
0 2
 
0.2%
3 1
 
0.1%
& 1
 
0.1%
+ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8310
89.3%
ASCII 991
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1502
18.1%
건 756
 
9.1%
소 734
 
8.8%
축 715
 
8.6%
무 699
 
8.4%
주 394
 
4.7%
이 154
 
1.9%
회 116
 
1.4%
식 108
 
1.3%
종 108
 
1.3%
Other values (305) 3024
36.4%
ASCII
ValueCountFrequency (%)
343
34.6%
( 296
29.9%
) 296
29.9%
N 6
 
0.6%
1 5
 
0.5%
A 5
 
0.5%
C 4
 
0.4%
S 4
 
0.4%
2 3
 
0.3%
M 3
 
0.3%
Other values (17) 26
 
2.6%

감리인_주소지
Text

Distinct826
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-04-21T11:04:59.083721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length24.396334
Min length17

Characters and Unicode

Total characters21298
Distinct characters371
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

Unique783 ?
Unique (%)89.7%

Sample

1st row경기도 수원시 장안구 장안로 296 (정자동)
2nd row경기도 남양주시 사릉로 14(금곡동)
3rd row서울특별시 금천구 시흥대로 189 (시흥동)
4th row서울특별시 강서구 공항대로 227 (마곡동)
5th row부산광역시 부산진구 진연로9번길 16 (양정동)
ValueCountFrequency (%)
경기도 204
 
4.7%
서울특별시 150
 
3.5%
경상남도 67
 
1.5%
전라남도 57
 
1.3%
대구광역시 56
 
1.3%
경상북도 50
 
1.2%
부산광역시 50
 
1.2%
전라북도 45
 
1.0%
인천광역시 33
 
0.8%
강원도 33
 
0.8%
Other values (1863) 3584
82.8%
2024-04-21T11:04:59.526580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3456
 
16.2%
동 930
 
4.4%
시 904
 
4.2%
로 802
 
3.8%
) 785
 
3.7%
( 785
 
3.7%
1 646
 
3.0%
구 634
 
3.0%
도 559
 
2.6%
2 477
 
2.2%
Other values (361) 11320
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13160
61.8%
Space Separator 3456
 
16.2%
Decimal Number 2924
 
13.7%
Close Punctuation 785
 
3.7%
Open Punctuation 785
 
3.7%
Dash Punctuation 136
 
0.6%
Other Punctuation 44
 
0.2%
Uppercase Letter 7
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 930
 
7.1%
시 904
 
6.9%
로 802
 
6.1%
구 634
 
4.8%
도 559
 
4.2%
길 371
 
2.8%
경 350
 
2.7%
남 323
 
2.5%
서 296
 
2.2%
대 270
 
2.1%
Other values (337) 7721
58.7%
Decimal Number
ValueCountFrequency (%)
1 646
22.1%
2 477
16.3%
4 280
9.6%
3 272
9.3%
6 236
 
8.1%
5 221
 
7.6%
7 207
 
7.1%
8 199
 
6.8%
0 197
 
6.7%
9 189
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
R 1
14.3%
E 1
14.3%
W 1
14.3%
O 1
14.3%
T 1
14.3%
G 1
14.3%
S 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 42
95.5%
· 2
 
4.5%
Space Separator
ValueCountFrequency (%)
3456
100.0%
Close Punctuation
ValueCountFrequency (%)
) 785
100.0%
Open Punctuation
ValueCountFrequency (%)
( 785
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13160
61.8%
Common 8130
38.2%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 930
 
7.1%
시 904
 
6.9%
로 802
 
6.1%
구 634
 
4.8%
도 559
 
4.2%
길 371
 
2.8%
경 350
 
2.7%
남 323
 
2.5%
서 296
 
2.2%
대 270
 
2.1%
Other values (337) 7721
58.7%
Common
ValueCountFrequency (%)
3456
42.5%
) 785
 
9.7%
( 785
 
9.7%
1 646
 
7.9%
2 477
 
5.9%
4 280
 
3.4%
3 272
 
3.3%
6 236
 
2.9%
5 221
 
2.7%
7 207
 
2.5%
Other values (6) 765
 
9.4%
Latin
ValueCountFrequency (%)
R 1
12.5%
E 1
12.5%
W 1
12.5%
O 1
12.5%
T 1
12.5%
G 1
12.5%
S 1
12.5%
e 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13160
61.8%
ASCII 8136
38.2%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3456
42.5%
) 785
 
9.6%
( 785
 
9.6%
1 646
 
7.9%
2 477
 
5.9%
4 280
 
3.4%
3 272
 
3.3%
6 236
 
2.9%
5 221
 
2.7%
7 207
 
2.5%
Other values (13) 771
 
9.5%
Hangul
ValueCountFrequency (%)
동 930
 
7.1%
시 904
 
6.9%
로 802
 
6.1%
구 634
 
4.8%
도 559
 
4.2%
길 371
 
2.8%
경 350
 
2.7%
남 323
 
2.5%
서 296
 
2.2%
대 270
 
2.1%
Other values (337) 7721
58.7%
None
ValueCountFrequency (%)
· 2
100.0%

감리인_상세주소
Text

MISSING 

Distinct674
Distinct (%)81.8%
Missing49
Missing (%)5.6%
Memory size6.9 KiB
2024-04-21T11:04:59.778840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28
Mean length9.4526699
Min length2

Characters and Unicode

Total characters7789
Distinct characters402
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique646 ?
Unique (%)78.4%

Sample

1st row4층, 길영빌딩
2nd row409호
3rd row 7층 715호( 인피니움타워)
4th row마곡센트럴타워Ⅰ 1119호
5th row 양정동, 2층
ValueCountFrequency (%)
2층 131
 
8.2%
3층 69
 
4.3%
4층 42
 
2.6%
201호 38
 
2.4%
5층 27
 
1.7%
1층 25
 
1.6%
202호 19
 
1.2%
b동 18
 
1.1%
301호 16
 
1.0%
302호 15
 
0.9%
Other values (901) 1205
75.1%
2024-04-21T11:05:00.196053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
931
 
12.0%
호 446
 
5.7%
2 396
 
5.1%
동 395
 
5.1%
0 389
 
5.0%
1 382
 
4.9%
층 352
 
4.5%
3 234
 
3.0%
, 205
 
2.6%
4 153
 
2.0%
Other values (392) 3906
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4246
54.5%
Decimal Number 1893
24.3%
Space Separator 931
 
12.0%
Other Punctuation 206
 
2.6%
Uppercase Letter 156
 
2.0%
Close Punctuation 137
 
1.8%
Open Punctuation 137
 
1.8%
Lowercase Letter 46
 
0.6%
Dash Punctuation 26
 
0.3%
Letter Number 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 446
 
10.5%
동 395
 
9.3%
층 352
 
8.3%
빌 135
 
3.2%
딩 125
 
2.9%
스 102
 
2.4%
타 73
 
1.7%
이 69
 
1.6%
워 60
 
1.4%
리 50
 
1.2%
Other values (338) 2439
57.4%
Uppercase Letter
ValueCountFrequency (%)
B 26
16.7%
A 18
11.5%
T 16
10.3%
S 13
 
8.3%
K 11
 
7.1%
C 9
 
5.8%
I 8
 
5.1%
E 8
 
5.1%
M 7
 
4.5%
D 6
 
3.8%
Other values (12) 34
21.8%
Lowercase Letter
ValueCountFrequency (%)
e 12
26.1%
c 5
10.9%
n 5
10.9%
r 5
10.9%
w 4
 
8.7%
t 4
 
8.7%
o 3
 
6.5%
i 2
 
4.3%
s 2
 
4.3%
a 1
 
2.2%
Other values (3) 3
 
6.5%
Decimal Number
ValueCountFrequency (%)
2 396
20.9%
0 389
20.5%
1 382
20.2%
3 234
12.4%
4 153
 
8.1%
5 128
 
6.8%
7 71
 
3.8%
6 62
 
3.3%
8 42
 
2.2%
9 36
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 205
99.5%
& 1
 
0.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
83.3%
Ⅰ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
931
100.0%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4246
54.5%
Common 3335
42.8%
Latin 208
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 446
 
10.5%
동 395
 
9.3%
층 352
 
8.3%
빌 135
 
3.2%
딩 125
 
2.9%
스 102
 
2.4%
타 73
 
1.7%
이 69
 
1.6%
워 60
 
1.4%
리 50
 
1.2%
Other values (338) 2439
57.4%
Latin
ValueCountFrequency (%)
B 26
 
12.5%
A 18
 
8.7%
T 16
 
7.7%
S 13
 
6.2%
e 12
 
5.8%
K 11
 
5.3%
C 9
 
4.3%
I 8
 
3.8%
E 8
 
3.8%
M 7
 
3.4%
Other values (27) 80
38.5%
Common
ValueCountFrequency (%)
931
27.9%
2 396
11.9%
0 389
11.7%
1 382
11.5%
3 234
 
7.0%
, 205
 
6.1%
4 153
 
4.6%
) 137
 
4.1%
( 137
 
4.1%
5 128
 
3.8%
Other values (7) 243
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4246
54.5%
ASCII 3537
45.4%
Number Forms 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
931
26.3%
2 396
11.2%
0 389
11.0%
1 382
10.8%
3 234
 
6.6%
, 205
 
5.8%
4 153
 
4.3%
) 137
 
3.9%
( 137
 
3.9%
5 128
 
3.6%
Other values (42) 445
12.6%
Hangul
ValueCountFrequency (%)
호 446
 
10.5%
동 395
 
9.3%
층 352
 
8.3%
빌 135
 
3.2%
딩 125
 
2.9%
스 102
 
2.4%
타 73
 
1.7%
이 69
 
1.6%
워 60
 
1.4%
리 50
 
1.2%
Other values (338) 2439
57.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
83.3%
Ⅰ 1
 
16.7%

감리인_도로명코드
Real number (ℝ)

HIGH CORRELATION 

Distinct330
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5112617 × 1011
Minimum1.11102 × 1011
Maximum5.17303 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-21T11:05:00.335190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.11102 × 1011
5-th percentile1.15002 × 1011
Q12.72004 × 1011
median4.12813 × 1011
Q34.58003 × 1011
95-th percentile4.888442 × 1011
Maximum5.17303 × 1011
Range4.06201 × 1011
Interquartile range (IQR)1.85999 × 1011

Descriptive statistics

Standard deviation1.2993507 × 1011
Coefficient of variation (CV)0.37005238
Kurtosis-0.7856809
Mean3.5112617 × 1011
Median Absolute Deviation (MAD)6.889 × 1010
Skewness-0.74903977
Sum3.0653314 × 1014
Variance1.6883123 × 1022
MonotonicityNot monotonic
2024-04-21T11:05:00.508784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
413904000000 15
 
1.7%
116804000000 15
 
1.7%
461505000000 11
 
1.3%
412813000000 11
 
1.3%
482505000000 11
 
1.3%
117103000000 11
 
1.3%
272603000000 10
 
1.1%
413903000000 9
 
1.0%
411313000000 8
 
0.9%
115453000000 8
 
0.9%
Other values (320) 764
87.5%
ValueCountFrequency (%)
111102000000 1
 
0.1%
111103000000 1
 
0.1%
111104000000 3
0.3%
111403000000 3
0.3%
111404000000 3
0.3%
111702000000 1
 
0.1%
111704000000 4
0.5%
112003000000 2
0.2%
112004000000 3
0.3%
112153000000 2
0.2%
ValueCountFrequency (%)
517303000000 1
 
0.1%
517203000000 1
 
0.1%
512103000000 1
 
0.1%
512102000000 1
 
0.1%
511903000000 1
 
0.1%
511702000000 1
 
0.1%
511504000000 1
 
0.1%
511503000000 2
 
0.2%
511304000000 2
 
0.2%
511303000000 8
0.9%

감리인_법정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct524
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5048949 × 109
Minimum11260
Maximum5.173025 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.8 KiB
2024-04-21T11:05:00.646385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11260
5-th percentile1.1500102 × 109
Q12.7200103 × 109
median4.1281111 × 109
Q34.580025 × 109
95-th percentile4.888425 × 109
Maximum5.173025 × 109
Range5.1730138 × 109
Interquartile range (IQR)1.8600147 × 109

Descriptive statistics

Standard deviation1.3073217 × 109
Coefficient of variation (CV)0.37299883
Kurtosis-0.74727158
Mean3.5048949 × 109
Median Absolute Deviation (MAD)6.889008 × 108
Skewness-0.7587629
Sum3.0597732 × 1012
Variance1.70909 × 1018
MonotonicityNot monotonic
2024-04-21T11:05:00.772344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4139012900 14
 
1.6%
1150010500 12
 
1.4%
4825010300 8
 
0.9%
1171010800 8
 
0.9%
4117310200 7
 
0.8%
4113110800 7
 
0.8%
1154510100 7
 
0.8%
4611010100 7
 
0.8%
1168010800 6
 
0.7%
1168010500 6
 
0.7%
Other values (514) 791
90.6%
ValueCountFrequency (%)
11260 1
0.1%
44133 1
0.1%
1111011800 1
0.1%
1111012100 1
0.1%
1111013400 1
0.1%
1111014800 1
0.1%
1111016700 1
0.1%
1114011700 1
0.1%
1114012900 1
0.1%
1114013200 1
0.1%
ValueCountFrequency (%)
5173025022 1
0.1%
5172025023 1
0.1%
5121010600 1
0.1%
5121010300 1
0.1%
5119010100 1
0.1%
5117010200 1
0.1%
5115011600 1
0.1%
5115011000 2
0.2%
5113037022 1
0.1%
5113011700 2
0.2%

사업장_전화번호
Text

Distinct869
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-04-21T11:05:00.979960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.983963
Min length11

Characters and Unicode

Total characters10462
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

Unique865 ?
Unique (%)99.1%

Sample

1st row031-291-8407
2nd row031-591-0808
3rd row02-575-4883
4th row02-537-8868
5th row051-914-1427
ValueCountFrequency (%)
054-745-8838 2
 
0.2%
031-234-6710 2
 
0.2%
051-624-8522 2
 
0.2%
031-283-0496 2
 
0.2%
031-282-5972 1
 
0.1%
032-233-4337 1
 
0.1%
054-458-2676 1
 
0.1%
031-291-8407 1
 
0.1%
053-214-4449 1
 
0.1%
061-802-2450 1
 
0.1%
Other values (859) 859
98.4%
2024-04-21T11:05:01.362378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1746
16.7%
0 1608
15.4%
3 1045
10.0%
2 1004
9.6%
5 1003
9.6%
1 881
8.4%
4 758
7.2%
6 722
6.9%
7 667
 
6.4%
8 586
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8716
83.3%
Dash Punctuation 1746
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1608
18.4%
3 1045
12.0%
2 1004
11.5%
5 1003
11.5%
1 881
10.1%
4 758
8.7%
6 722
8.3%
7 667
7.7%
8 586
 
6.7%
9 442
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 1746
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10462
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1746
16.7%
0 1608
15.4%
3 1045
10.0%
2 1004
9.6%
5 1003
9.6%
1 881
8.4%
4 758
7.2%
6 722
6.9%
7 667
 
6.4%
8 586
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10462
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1746
16.7%
0 1608
15.4%
3 1045
10.0%
2 1004
9.6%
5 1003
9.6%
1 881
8.4%
4 758
7.2%
6 722
6.9%
7 667
 
6.4%
8 586
 
5.6%

Interactions

2024-04-21T11:04:57.832229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:04:57.574844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:04:57.933344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:04:57.739347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:05:01.458583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
감리인_도로명코드감리인_법정동코드
감리인_도로명코드1.0000.965
감리인_법정동코드0.9651.000
2024-04-21T11:05:01.532820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
감리인_도로명코드감리인_법정동코드
감리인_도로명코드1.0000.997
감리인_법정동코드0.9971.000

Missing values

2024-04-21T11:04:58.033904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:04:58.152007image/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

감리인_사업장명감리인_주소지감리인_상세주소감리인_도로명코드감리인_법정동코드사업장_전화번호
0(주)디와이환경연구소경기도 수원시 장안구 장안로 296 (정자동)4층, 길영빌딩4111130000004111113000031-291-8407
1주식회사 더큰경기도 남양주시 사릉로 14(금곡동)409호4136030000004136010300031-591-0808
2승건축사사무소서울특별시 금천구 시흥대로 189 (시흥동)7층 715호( 인피니움타워)115452000000115451030002-575-4883
3(주)아키엘로건축사사무소서울특별시 강서구 공항대로 227 (마곡동)마곡센트럴타워Ⅰ 1119호115002000000115001050002-537-8868
4디인싸이트건축사사무소(주)부산광역시 부산진구 진연로9번길 16 (양정동)양정동, 2층2623040000002623010100051-914-1427
5환경보건연구소(주)충청남도 논산시 연산면 계백송정8길 11-19<NA>4423050000004423036023070-4517-9331
6네오건축사사무소충청북도 청주시 서원구 직지대로772번길 5 (사직동)사직동 2층4311250000004311210100043-272-7060
7건축사사무소 엠아이엔대구광역시 동구 동호로3길 11 (동호동)5층2714040000002714011600053-217-1015
8주식회사 도심엔지니어링종합건축사사무소경기도 안양시 동안구 평촌대로212번길 55 (관양동)4층, 대고빌딩4117340000004117310200031-423-4889
9종합건축사사무소도담(주)서울특별시 송파구 백제고분로 122 (잠실동)성현교회 502호117103000000117101010002-521-6026
감리인_사업장명감리인_주소지감리인_상세주소감리인_도로명코드감리인_법정동코드사업장_전화번호
863건축법인 녹엔지니어링건축사사무소(주)전라북도 익산시 인북로 234 (남중동)<NA>4514030000004514011300063-837-0508
864(주)유신건축종합건축사사무소경기도 안양시 동안구 평촌대로227번길 48 (호계동)승진빌딩 5층4117340000004117310400031-381-2182
865하늘건축사사무소전라북도 완주군 이서면 안전로 135501호4571030000004571033024063-228-8225
866주식회사 신성이엔지건축사사무소부산광역시 연제구 거제대로 297 (거제동)4층2647020000002647010100051-714-5110
867(주)삼우공간건축사사무소서울특별시 송파구 중대로 135 (가락동)가락동 동관 1701호117103000000117101070002-431-0036
868주식회사 토석건축사사무소서울특별시 강남구 선릉로112길 12-2 (삼성동)삼성동 호암빌딩 111호116804000000116801050002-565-8431
869건축사사무소 현즈전라북도 전주시 완산구 구이로 1936-17 (석구동)석구동, 2F4511130000004511113000063-237-2014
870(주)에이앤환경광주광역시 동구 중앙로 358 (계림동, 금호계림주상복합)계림동, 금호계림주상복합2911030000002911010900062-654-6567
871(주)해량엔지니어링종합건축사사무소인천광역시 남동구 백범로 145-1 (만수동)3층2820030000002820010300032-212-0148
872서진건축사사무소인천광역시 중구 신포로27번길 83 (중앙동1가)중앙동1가, 2층2811040000002811010100032-432-4089