Overview

Dataset statistics

Number of variables10
Number of observations510
Missing cells72
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.5 KiB
Average record size in memory81.3 B

Variable types

Numeric1
DateTime3
Text5
Categorical1

Dataset

Description작업신고번호, 공사현장명, 소재지, 건물명, 해체제거자사업체명, 해체시작년월일, 해체종류년월일, 종류명, 면적부피 등의 항목을 제공합니다.
Author경기도 하남시
URLhttps://www.data.go.kr/data/3047300/fileData.do

Alerts

건물명(설비명) has 12 (2.4%) missing valuesMissing
위치(소재지) has 36 (7.1%) missing valuesMissing
공사현장명 has 24 (4.7%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:35:05.507597
Analysis finished2024-04-06 08:35:07.636562
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct510
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean255.5
Minimum1
Maximum510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-06T17:35:07.853476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.45
Q1128.25
median255.5
Q3382.75
95-th percentile484.55
Maximum510
Range509
Interquartile range (IQR)254.5

Descriptive statistics

Standard deviation147.36859
Coefficient of variation (CV)0.57678507
Kurtosis-1.2
Mean255.5
Median Absolute Deviation (MAD)127.5
Skewness0
Sum130305
Variance21717.5
MonotonicityStrictly increasing
2024-04-06T17:35:08.835744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
337 1
 
0.2%
350 1
 
0.2%
349 1
 
0.2%
348 1
 
0.2%
347 1
 
0.2%
346 1
 
0.2%
345 1
 
0.2%
344 1
 
0.2%
343 1
 
0.2%
Other values (500) 500
98.0%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
510 1
0.2%
509 1
0.2%
508 1
0.2%
507 1
0.2%
506 1
0.2%
505 1
0.2%
504 1
0.2%
503 1
0.2%
502 1
0.2%
501 1
0.2%

신고일자
Date

Distinct432
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2009-09-11 00:00:00
Maximum2024-01-31 00:00:00
2024-04-06T17:35:09.203155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:35:09.504191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

건물명(설비명)
Text

MISSING 

Distinct298
Distinct (%)59.8%
Missing12
Missing (%)2.4%
Memory size4.1 KiB
2024-04-06T17:35:10.082835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length7.1666667
Min length1

Characters and Unicode

Total characters3569
Distinct characters244
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

Unique238 ?
Unique (%)47.8%

Sample

1st row하산곡동 292-6
2nd row고속도로방음벽
3rd row천현초등학교
4th row하남경영고등학교
5th row감북동 286-9번지 동물및식물관련시설
ValueCountFrequency (%)
축사 37
 
4.9%
창고 28
 
3.7%
주택 28
 
3.7%
등 22
 
2.9%
하남시 15
 
2.0%
덕풍동 13
 
1.7%
및 11
 
1.5%
공장 11
 
1.5%
근린생활시설 10
 
1.3%
주택_축사 9
 
1.2%
Other values (364) 569
75.6%
2024-04-06T17:35:10.856392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
255
 
7.1%
동 119
 
3.3%
사 117
 
3.3%
주 104
 
2.9%
교 99
 
2.8%
고 88
 
2.5%
택 87
 
2.4%
시 82
 
2.3%
남 82
 
2.3%
등 81
 
2.3%
Other values (234) 2455
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2848
79.8%
Decimal Number 316
 
8.9%
Space Separator 255
 
7.1%
Connector Punctuation 76
 
2.1%
Dash Punctuation 45
 
1.3%
Open Punctuation 13
 
0.4%
Close Punctuation 13
 
0.4%
Lowercase Letter 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 119
 
4.2%
사 117
 
4.1%
주 104
 
3.7%
교 99
 
3.5%
고 88
 
3.1%
택 87
 
3.1%
시 82
 
2.9%
남 82
 
2.9%
등 81
 
2.8%
하 81
 
2.8%
Other values (216) 1908
67.0%
Decimal Number
ValueCountFrequency (%)
1 66
20.9%
2 59
18.7%
3 39
12.3%
5 30
9.5%
4 30
9.5%
9 22
 
7.0%
8 19
 
6.0%
0 18
 
5.7%
6 18
 
5.7%
7 15
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
255
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2848
79.8%
Common 719
 
20.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 119
 
4.2%
사 117
 
4.1%
주 104
 
3.7%
교 99
 
3.5%
고 88
 
3.1%
택 87
 
3.1%
시 82
 
2.9%
남 82
 
2.9%
등 81
 
2.8%
하 81
 
2.8%
Other values (216) 1908
67.0%
Common
ValueCountFrequency (%)
255
35.5%
_ 76
 
10.6%
1 66
 
9.2%
2 59
 
8.2%
- 45
 
6.3%
3 39
 
5.4%
5 30
 
4.2%
4 30
 
4.2%
9 22
 
3.1%
8 19
 
2.6%
Other values (6) 78
 
10.8%
Latin
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2848
79.8%
ASCII 721
 
20.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
255
35.4%
_ 76
 
10.5%
1 66
 
9.2%
2 59
 
8.2%
- 45
 
6.2%
3 39
 
5.4%
5 30
 
4.2%
4 30
 
4.2%
9 22
 
3.1%
8 19
 
2.6%
Other values (8) 80
 
11.1%
Hangul
ValueCountFrequency (%)
동 119
 
4.2%
사 117
 
4.1%
주 104
 
3.7%
교 99
 
3.5%
고 88
 
3.1%
택 87
 
3.1%
시 82
 
2.9%
남 82
 
2.9%
등 81
 
2.8%
하 81
 
2.8%
Other values (216) 1908
67.0%

위치(소재지)
Text

MISSING 

Distinct391
Distinct (%)82.5%
Missing36
Missing (%)7.1%
Memory size4.1 KiB
2024-04-06T17:35:11.311421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length49
Mean length21.147679
Min length11

Characters and Unicode

Total characters10024
Distinct characters151
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique339 ?
Unique (%)71.5%

Sample

1st row경기도 하남시 산곡동로 82 (하산곡동) 하산곡동 292-6
2nd row경기도 하남시 광암로148번길 5 (광암동) 하남시 감일동110인근 고속도로 외부 방음벽/하남시 광암동 280인근 고속도로 외부방음벽
3rd row경기도 하남시 천현로 45 (신장동) 천현초등학교
4th row경기도 하남시 대청로116번길 11 (창우동) -
5th row경기도 하남시 감초로69번길 26 (감북동) .
ValueCountFrequency (%)
경기도 474
22.3%
하남시 474
22.3%
56
 
2.6%
덕풍동 48
 
2.3%
신장동 45
 
2.1%
창우동 22
 
1.0%
하산곡동 21
 
1.0%
감일동 21
 
1.0%
천현동 18
 
0.8%
풍산동 17
 
0.8%
Other values (571) 934
43.8%
2024-04-06T17:35:12.249075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1659
16.6%
하 582
 
5.8%
남 558
 
5.6%
동 484
 
4.8%
시 484
 
4.8%
도 482
 
4.8%
경 480
 
4.8%
기 475
 
4.7%
1 402
 
4.0%
- 330
 
3.3%
Other values (141) 4088
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5648
56.3%
Decimal Number 1983
 
19.8%
Space Separator 1659
 
16.6%
Dash Punctuation 330
 
3.3%
Open Punctuation 145
 
1.4%
Close Punctuation 143
 
1.4%
Other Punctuation 114
 
1.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 582
 
10.3%
남 558
 
9.9%
동 484
 
8.6%
시 484
 
8.6%
도 482
 
8.5%
경 480
 
8.5%
기 475
 
8.4%
로 175
 
3.1%
풍 110
 
1.9%
산 104
 
1.8%
Other values (120) 1714
30.3%
Decimal Number
ValueCountFrequency (%)
1 402
20.3%
2 309
15.6%
3 228
11.5%
4 184
9.3%
5 180
9.1%
0 170
8.6%
6 138
 
7.0%
7 131
 
6.6%
8 121
 
6.1%
9 120
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 101
88.6%
＂ 8
 
7.0%
/ 3
 
2.6%
. 1
 
0.9%
· 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
1659
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 330
100.0%
Open Punctuation
ValueCountFrequency (%)
( 145
100.0%
Close Punctuation
ValueCountFrequency (%)
) 143
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5648
56.3%
Common 4374
43.6%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 582
 
10.3%
남 558
 
9.9%
동 484
 
8.6%
시 484
 
8.6%
도 482
 
8.5%
경 480
 
8.5%
기 475
 
8.4%
로 175
 
3.1%
풍 110
 
1.9%
산 104
 
1.8%
Other values (120) 1714
30.3%
Common
ValueCountFrequency (%)
1659
37.9%
1 402
 
9.2%
- 330
 
7.5%
2 309
 
7.1%
3 228
 
5.2%
4 184
 
4.2%
5 180
 
4.1%
0 170
 
3.9%
( 145
 
3.3%
) 143
 
3.3%
Other values (9) 624
 
14.3%
Latin
ValueCountFrequency (%)
C 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5648
56.3%
ASCII 4367
43.6%
None 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1659
38.0%
1 402
 
9.2%
- 330
 
7.6%
2 309
 
7.1%
3 228
 
5.2%
4 184
 
4.2%
5 180
 
4.1%
0 170
 
3.9%
( 145
 
3.3%
) 143
 
3.3%
Other values (9) 617
 
14.1%
Hangul
ValueCountFrequency (%)
하 582
 
10.3%
남 558
 
9.9%
동 484
 
8.6%
시 484
 
8.6%
도 482
 
8.5%
경 480
 
8.5%
기 475
 
8.4%
로 175
 
3.1%
풍 110
 
1.9%
산 104
 
1.8%
Other values (120) 1714
30.3%
None
ValueCountFrequency (%)
＂ 8
88.9%
· 1
 
11.1%

공사현장명
Text

MISSING 

Distinct431
Distinct (%)88.7%
Missing24
Missing (%)4.7%
Memory size4.1 KiB
2024-04-06T17:35:12.738077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length33
Mean length19.617284
Min length4

Characters and Unicode

Total characters9534
Distinct characters291
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique402 ?
Unique (%)82.7%

Sample

1st row산곡동로 82 석면해체.제거공사
2nd row안성구리도로12공구ramp공사중 방음벽 철거공사
3rd row천현초등학교 석면 해체 제거
4th row하남경영고 신관 및 본관(4층) 석면해체제거공사
5th row경기도 하남시 감초로69번길 26(감북동 286-9)석면해체제거 공사
ValueCountFrequency (%)
하남시 77
 
4.1%
석면해체공사 51
 
2.7%
석면해체 51
 
2.7%
공사 49
 
2.6%
및 44
 
2.3%
철거공사 41
 
2.2%
중 39
 
2.1%
석면해체제거 39
 
2.1%
슬레이트 37
 
1.9%
석면해체제거공사 31
 
1.6%
Other values (706) 1442
75.9%
2024-04-06T17:35:13.742969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1417
 
14.9%
사 421
 
4.4%
공 390
 
4.1%
체 328
 
3.4%
해 309
 
3.2%
석 303
 
3.2%
면 302
 
3.2%
거 280
 
2.9%
하 214
 
2.2%
동 207
 
2.2%
Other values (281) 5363
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6887
72.2%
Space Separator 1417
 
14.9%
Decimal Number 910
 
9.5%
Dash Punctuation 144
 
1.5%
Other Punctuation 70
 
0.7%
Open Punctuation 31
 
0.3%
Close Punctuation 31
 
0.3%
Uppercase Letter 22
 
0.2%
Lowercase Letter 20
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 421
 
6.1%
공 390
 
5.7%
체 328
 
4.8%
해 309
 
4.5%
석 303
 
4.4%
면 302
 
4.4%
거 280
 
4.1%
하 214
 
3.1%
동 207
 
3.0%
남 194
 
2.8%
Other values (240) 3939
57.2%
Uppercase Letter
ValueCountFrequency (%)
C 5
22.7%
T 3
13.6%
B 3
13.6%
L 1
 
4.5%
J 1
 
4.5%
D 1
 
4.5%
S 1
 
4.5%
M 1
 
4.5%
R 1
 
4.5%
G 1
 
4.5%
Other values (4) 4
18.2%
Decimal Number
ValueCountFrequency (%)
1 192
21.1%
2 180
19.8%
3 121
13.3%
5 80
8.8%
4 71
 
7.8%
6 66
 
7.3%
9 65
 
7.1%
7 51
 
5.6%
8 44
 
4.8%
0 40
 
4.4%
Other Punctuation
ValueCountFrequency (%)
＂ 40
57.1%
, 21
30.0%
. 4
 
5.7%
· 3
 
4.3%
？ 2
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 5
25.0%
r 5
25.0%
p 5
25.0%
m 5
25.0%
Open Punctuation
ValueCountFrequency (%)
( 30
96.8%
[ 1
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 30
96.8%
] 1
 
3.2%
Space Separator
ValueCountFrequency (%)
1417
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6886
72.2%
Common 2605
 
27.3%
Latin 42
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 421
 
6.1%
공 390
 
5.7%
체 328
 
4.8%
해 309
 
4.5%
석 303
 
4.4%
면 302
 
4.4%
거 280
 
4.1%
하 214
 
3.1%
동 207
 
3.0%
남 194
 
2.8%
Other values (239) 3938
57.2%
Common
ValueCountFrequency (%)
1417
54.4%
1 192
 
7.4%
2 180
 
6.9%
- 144
 
5.5%
3 121
 
4.6%
5 80
 
3.1%
4 71
 
2.7%
6 66
 
2.5%
9 65
 
2.5%
7 51
 
2.0%
Other values (13) 218
 
8.4%
Latin
ValueCountFrequency (%)
a 5
11.9%
r 5
11.9%
p 5
11.9%
C 5
11.9%
m 5
11.9%
T 3
 
7.1%
B 3
 
7.1%
L 1
 
2.4%
J 1
 
2.4%
D 1
 
2.4%
Other values (8) 8
19.0%
Han
ValueCountFrequency (%)
仙 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6885
72.2%
ASCII 2602
 
27.3%
None 45
 
0.5%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1417
54.5%
1 192
 
7.4%
2 180
 
6.9%
- 144
 
5.5%
3 121
 
4.7%
5 80
 
3.1%
4 71
 
2.7%
6 66
 
2.5%
9 65
 
2.5%
7 51
 
2.0%
Other values (28) 215
 
8.3%
Hangul
ValueCountFrequency (%)
사 421
 
6.1%
공 390
 
5.7%
체 328
 
4.8%
해 309
 
4.5%
석 303
 
4.4%
면 302
 
4.4%
거 280
 
4.1%
하 214
 
3.1%
동 207
 
3.0%
남 194
 
2.8%
Other values (238) 3937
57.2%
None
ValueCountFrequency (%)
＂ 40
88.9%
· 3
 
6.7%
？ 2
 
4.4%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%
CJK
ValueCountFrequency (%)
仙 1
100.0%

사업체명
Text

Distinct181
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-04-06T17:35:14.164702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.1117647
Min length3

Characters and Unicode

Total characters4647
Distinct characters195
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)20.6%

Sample

1st row(주)베스트석면
2nd row성우디디아이(주)
3rd row대한개발(주)
4th row주식회사에스피이엔씨
5th row티케이개발(주)
ValueCountFrequency (%)
주)석면환경산업 37
 
7.2%
티케이개발(주 27
 
5.3%
주)하이테크알파 24
 
4.7%
주)서울산업컨설팅 21
 
4.1%
주)건웅석면 16
 
3.1%
주)아주환경연구소 14
 
2.7%
티케이환경(주 13
 
2.5%
성우디디아이(주 12
 
2.3%
주식회사건웅석면 11
 
2.1%
주식회사한백산업 11
 
2.1%
Other values (168) 328
63.8%
2024-04-06T17:35:14.849410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
504
 
10.8%
주 454
 
9.8%
( 313
 
6.7%
) 312
 
6.7%
경 167
 
3.6%
환 154
 
3.3%
산 139
 
3.0%
업 139
 
3.0%
이 135
 
2.9%
석 125
 
2.7%
Other values (185) 2205
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3476
74.8%
Space Separator 504
 
10.8%
Open Punctuation 324
 
7.0%
Close Punctuation 324
 
7.0%
Uppercase Letter 11
 
0.2%
Other Punctuation 5
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 454
 
13.1%
경 167
 
4.8%
환 154
 
4.4%
산 139
 
4.0%
업 139
 
4.0%
이 135
 
3.9%
석 125
 
3.6%
면 121
 
3.5%
사 120
 
3.5%
식 112
 
3.2%
Other values (172) 1810
52.1%
Uppercase Letter
ValueCountFrequency (%)
Y 4
36.4%
S 4
36.4%
E 1
 
9.1%
N 1
 
9.1%
G 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 313
96.6%
（ 11
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 312
96.3%
） 12
 
3.7%
Other Punctuation
ValueCountFrequency (%)
& 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
504
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3476
74.8%
Common 1160
 
25.0%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 454
 
13.1%
경 167
 
4.8%
환 154
 
4.4%
산 139
 
4.0%
업 139
 
4.0%
이 135
 
3.9%
석 125
 
3.6%
면 121
 
3.5%
사 120
 
3.5%
식 112
 
3.2%
Other values (172) 1810
52.1%
Common
ValueCountFrequency (%)
504
43.4%
( 313
27.0%
) 312
26.9%
） 12
 
1.0%
（ 11
 
0.9%
& 4
 
0.3%
- 3
 
0.3%
/ 1
 
0.1%
Latin
ValueCountFrequency (%)
Y 4
36.4%
S 4
36.4%
E 1
 
9.1%
N 1
 
9.1%
G 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3476
74.8%
ASCII 1148
 
24.7%
None 23
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
504
43.9%
( 313
27.3%
) 312
27.2%
Y 4
 
0.3%
S 4
 
0.3%
& 4
 
0.3%
- 3
 
0.3%
E 1
 
0.1%
N 1
 
0.1%
G 1
 
0.1%
Hangul
ValueCountFrequency (%)
주 454
 
13.1%
경 167
 
4.8%
환 154
 
4.4%
산 139
 
4.0%
업 139
 
4.0%
이 135
 
3.9%
석 125
 
3.6%
면 121
 
3.5%
사 120
 
3.5%
식 112
 
3.2%
Other values (172) 1810
52.1%
None
ValueCountFrequency (%)
） 12
52.2%
（ 11
47.8%

해체작업기간-시작일
Date

Distinct428
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2009-09-10 00:00:00
Maximum2024-01-31 00:00:00
2024-04-06T17:35:15.125533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:35:15.435154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

해체작업기간-종료일
Date

Distinct375
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2009-09-30 00:00:00
Maximum2024-02-29 00:00:00
2024-04-06T17:35:15.681803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:35:15.941656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

면적(제곱미터)
Text

Distinct440
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-04-06T17:35:16.606407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length4.9411765
Min length1

Characters and Unicode

Total characters2520
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique395 ?
Unique (%)77.5%

Sample

1st row91.68
2nd row2510
3rd row4890.45
4th row3995.04_100.35
5th row200
ValueCountFrequency (%)
0 10
 
2.0%
156712 6
 
1.2%
9975.38 4
 
0.8%
220 4
 
0.8%
528.75 4
 
0.8%
4081.66 4
 
0.8%
92 3
 
0.6%
68 3
 
0.6%
250 3
 
0.6%
261 3
 
0.6%
Other values (430) 466
91.4%
2024-04-06T17:35:17.744145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 358
14.2%
1 300
11.9%
2 285
11.3%
3 231
9.2%
5 224
8.9%
4 217
8.6%
6 214
8.5%
7 178
7.1%
8 176
7.0%
9 168
6.7%
Other values (2) 169
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2160
85.7%
Other Punctuation 358
 
14.2%
Connector Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 300
13.9%
2 285
13.2%
3 231
10.7%
5 224
10.4%
4 217
10.0%
6 214
9.9%
7 178
8.2%
8 176
8.1%
9 168
7.8%
0 167
7.7%
Other Punctuation
ValueCountFrequency (%)
. 358
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2520
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 358
14.2%
1 300
11.9%
2 285
11.3%
3 231
9.2%
5 224
8.9%
4 217
8.6%
6 214
8.5%
7 178
7.1%
8 176
7.0%
9 168
6.7%
Other values (2) 169
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 358
14.2%
1 300
11.9%
2 285
11.3%
3 231
9.2%
5 224
8.9%
4 217
8.6%
6 214
8.5%
7 178
7.1%
8 176
7.0%
9 168
6.7%
Other values (2) 169
6.7%

종류
Categorical

Distinct22
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
지붕재
205 
천장재
165 
벽재_지붕재_천장재
25 
지붕재_천장재
23 
벽재_천장재
22 
Other values (17)
70 

Length

Max length17
Median length3
Mean length4.2313725
Min length2

Unique

Unique6 ?
Unique (%)1.2%

Sample

1st row천장재
2nd row벽재
3rd row천장재
4th row천장재_벽재
5th row천장재

Common Values

ValueCountFrequency (%)
지붕재 205
40.2%
천장재 165
32.4%
벽재_지붕재_천장재 25
 
4.9%
지붕재_천장재 23
 
4.5%
벽재_천장재 22
 
4.3%
벽재_지붕재 15
 
2.9%
벽재 12
 
2.4%
<NA> 8
 
1.6%
개스킷_벽재_지붕재_천장재 7
 
1.4%
기타_지붕재_천장재 6
 
1.2%
Other values (12) 22
 
4.3%

Length

2024-04-06T17:35:18.104877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지붕재 205
40.2%
천장재 165
32.4%
벽재_지붕재_천장재 25
 
4.9%
지붕재_천장재 23
 
4.5%
벽재_천장재 22
 
4.3%
벽재_지붕재 15
 
2.9%
벽재 12
 
2.4%
na 8
 
1.6%
개스킷_벽재_지붕재_천장재 7
 
1.4%
기타_지붕재_천장재 6
 
1.2%
Other values (12) 22
 
4.3%

Interactions

2024-04-06T17:35:06.642545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:35:18.282684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호종류
번호1.0000.430
종류0.4301.000
2024-04-06T17:35:18.433872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호종류
번호1.0000.171
종류0.1711.000

Missing values

2024-04-06T17:35:06.889885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:35:07.198250image/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.
2024-04-06T17:35:07.442698image/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

번호신고일자건물명(설비명)위치(소재지)공사현장명사업체명해체작업기간-시작일해체작업기간-종료일면적(제곱미터)종류
012024-01-31하산곡동 292-6경기도 하남시 산곡동로 82 (하산곡동) 하산곡동 292-6산곡동로 82 석면해체.제거공사(주)베스트석면2024-01-312024-02-2991.68천장재
122024-01-23고속도로방음벽경기도 하남시 광암로148번길 5 (광암동) 하남시 감일동110인근 고속도로 외부 방음벽/하남시 광암동 280인근 고속도로 외부방음벽안성구리도로12공구ramp공사중 방음벽 철거공사성우디디아이(주)2024-01-292024-02-172510벽재
232024-01-11천현초등학교경기도 하남시 천현로 45 (신장동) 천현초등학교천현초등학교 석면 해체 제거대한개발(주)2024-01-022024-01-314890.45천장재
342024-01-10하남경영고등학교경기도 하남시 대청로116번길 11 (창우동) -하남경영고 신관 및 본관(4층) 석면해체제거공사주식회사에스피이엔씨2023-12-292024-01-263995.04_100.35천장재_벽재
452023-12-26감북동 286-9번지 동물및식물관련시설경기도 하남시 감초로69번길 26 (감북동) .경기도 하남시 감초로69번길 26(감북동 286-9)석면해체제거 공사티케이개발(주)2023-12-262024-01-31200천장재
562024-01-10덕풍초등학교경기도 하남시 덕풍공원로 20 (덕풍동) 덕풍초등학교덕풍초 본관동 석면해체제거공사주식회사타임이앤씨2023-12-262024-01-253661.11_39.25천장재_벽재
672023-10-17방음벽경기도 하남시 광암로148번길 5 (광암동) 하남시 감일동110인근/하남시광암동280인근안성구리도로12공구ramp공사중 방음벽 철거공사성우디디아이(주)2023-10-232023-11-153862벽재
782023-10-16없음경기도 하남시 천현로39번길 9-25 (신장동) 1층천현로39번길9-25 석면해체.제거공사주식회사 하나석면환경2023-10-172023-10-31118.75천장재
892023-08-21헛간경기도 하남시 하남대로186번길 11 (상산곡동) 1층하남-10 석면해체제거 공사(주)대성산업개발2023-08-212023-10-0962.72지붕재
9102023-07-12음식점경기도 하남시 하남대로249번길 9-11 (상산곡동) 1층하남8-박춘환-석면해체제거 공사(주)대성산업개발2023-07-112023-09-10192.02지붕재
번호신고일자건물명(설비명)위치(소재지)공사현장명사업체명해체작업기간-시작일해체작업기간-종료일면적(제곱미터)종류
5005012010-01-14초등학교<NA><NA>푸른환경산업2010-01-132010-01-3192천장재
5015022010-03-04하남초등학교<NA><NA>(주)석면환경산업2010-01-052010-02-04563벽재_천장재
5025032009-12-30문화집회시설<NA><NA>세영토건(주)2009-12-242010-01-31481.94벽재_천장재
5035042009-12-30남한중학교 급식소<NA><NA>현도건업주식회사2009-12-222010-01-31287.67개스킷_천장재
5045052011-09-06관리본관경기도 하남시 광암동 174<NA>케이엠토건(주)2009-12-142011-12-310벽재_천장재
5055062009-12-30관리본관<NA><NA>케이엠토건(주)2009-12-142010-01-310벽재_천장재
5065072009-12-11캐슬렉스 골프클럽 직원식당<NA><NA>(주)맑은누리2009-12-102009-12-31166.53천장재
5075082009-10-16전기실<NA><NA>유니건설2009-10-132009-11-30220천장재
5085092009-09-25주택<NA><NA>티케이석면환경(주)2009-09-252009-09-30317.59지붕재
5095102009-09-11교실(영어체험실)<NA><NA>(주)석면환경산업2009-09-102009-10-0983.332천장재