Overview

Dataset statistics

Number of variables13
Number of observations1343
Missing cells20
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory139.2 KiB
Average record size in memory106.1 B

Variable types

Numeric2
DateTime1
Text7
Categorical3

Dataset

Description정보통신공사 현장에 적법한 감리원 배치 유도를 위하여 2019년 10월부터 시행된 정보통신공사업 감리원 배치신고 현황에 대한 데이터입니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15103789&srcSe=7661IVAWM27C61E190

Alerts

감리원 배치현황(또는 변경전) is highly imbalanced (71.8%)Imbalance
감리원 배치현황(변경 후) is highly imbalanced (62.7%)Imbalance
2인이상의 공사감리 is highly imbalanced (76.0%)Imbalance
총공사금액(천원) is highly skewed (γ1 = 28.35691885)Skewed
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:10:38.368545
Analysis finished2024-03-18 05:10:41.684731
Duration3.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1343
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean672
Minimum1
Maximum1343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-03-18T14:10:41.757291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile68.1
Q1336.5
median672
Q31007.5
95-th percentile1275.9
Maximum1343
Range1342
Interquartile range (IQR)671

Descriptive statistics

Standard deviation387.83502
Coefficient of variation (CV)0.57713544
Kurtosis-1.2
Mean672
Median Absolute Deviation (MAD)336
Skewness0
Sum902496
Variance150416
MonotonicityStrictly increasing
2024-03-18T14:10:41.910424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
894 1
 
0.1%
902 1
 
0.1%
901 1
 
0.1%
900 1
 
0.1%
899 1
 
0.1%
898 1
 
0.1%
897 1
 
0.1%
896 1
 
0.1%
895 1
 
0.1%
Other values (1333) 1333
99.3%
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 (%)
1343 1
0.1%
1342 1
0.1%
1341 1
0.1%
1340 1
0.1%
1339 1
0.1%
1338 1
0.1%
1337 1
0.1%
1336 1
0.1%
1335 1
0.1%
1334 1
0.1%

신고일자
Date

Distinct438
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
Minimum2019-11-28 00:00:00
Maximum2023-08-11 00:00:00
2024-03-18T14:10:42.050567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:10:42.167888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발주자
Text

Distinct767
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-03-18T14:10:42.395715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length9.8309754
Min length2

Characters and Unicode

Total characters13203
Distinct characters443
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique654 ?
Unique (%)48.7%

Sample

1st row인천광역시 서구청
2nd row해양수산부 인천해사고등학교
3rd row인천광역시 연수구청
4th row의료법인 루가의료재단
5th row(주)토비스
ValueCountFrequency (%)
주식회사 126
 
6.3%
주)케이티 84
 
4.2%
한국전력공사 57
 
2.9%
외 56
 
2.8%
인천광역시 49
 
2.5%
인천본부 39
 
2.0%
입주자대표회의 34
 
1.7%
주)무궁화신탁 33
 
1.7%
서부cs담당 30
 
1.5%
주)kt강남/서부고객본부 30
 
1.5%
Other values (839) 1453
73.0%
2024-03-18T14:10:42.741738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 848
 
6.4%
648
 
4.9%
( 571
 
4.3%
) 569
 
4.3%
사 380
 
2.9%
부 349
 
2.6%
인 306
 
2.3%
이 296
 
2.2%
신 255
 
1.9%
회 247
 
1.9%
Other values (433) 8734
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10874
82.4%
Space Separator 648
 
4.9%
Open Punctuation 572
 
4.3%
Close Punctuation 570
 
4.3%
Uppercase Letter 316
 
2.4%
Decimal Number 139
 
1.1%
Other Punctuation 71
 
0.5%
Lowercase Letter 7
 
0.1%
Dash Punctuation 3
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 848
 
7.8%
사 380
 
3.5%
부 349
 
3.2%
인 306
 
2.8%
이 296
 
2.7%
신 255
 
2.3%
회 247
 
2.3%
천 237
 
2.2%
탁 204
 
1.9%
공 204
 
1.9%
Other values (393) 7548
69.4%
Uppercase Letter
ValueCountFrequency (%)
S 53
16.8%
T 50
15.8%
K 46
14.6%
C 45
14.2%
L 35
11.1%
G 31
9.8%
I 12
 
3.8%
P 12
 
3.8%
O 11
 
3.5%
W 6
 
1.9%
Other values (6) 15
 
4.7%
Decimal Number
ValueCountFrequency (%)
1 70
50.4%
2 29
20.9%
3 13
 
9.4%
4 10
 
7.2%
6 5
 
3.6%
9 5
 
3.6%
5 4
 
2.9%
7 1
 
0.7%
0 1
 
0.7%
8 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
o 2
28.6%
e 2
28.6%
b 1
14.3%
c 1
14.3%
i 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 571
99.8%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 569
99.8%
] 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/ 68
95.8%
, 3
 
4.2%
Space Separator
ValueCountFrequency (%)
648
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10877
82.4%
Common 2003
 
15.2%
Latin 323
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 848
 
7.8%
사 380
 
3.5%
부 349
 
3.2%
인 306
 
2.8%
이 296
 
2.7%
신 255
 
2.3%
회 247
 
2.3%
천 237
 
2.2%
탁 204
 
1.9%
공 204
 
1.9%
Other values (394) 7551
69.4%
Latin
ValueCountFrequency (%)
S 53
16.4%
T 50
15.5%
K 46
14.2%
C 45
13.9%
L 35
10.8%
G 31
9.6%
I 12
 
3.7%
P 12
 
3.7%
O 11
 
3.4%
W 6
 
1.9%
Other values (11) 22
6.8%
Common
ValueCountFrequency (%)
648
32.4%
( 571
28.5%
) 569
28.4%
1 70
 
3.5%
/ 68
 
3.4%
2 29
 
1.4%
3 13
 
0.6%
4 10
 
0.5%
6 5
 
0.2%
9 5
 
0.2%
Other values (8) 15
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10874
82.4%
ASCII 2326
 
17.6%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 848
 
7.8%
사 380
 
3.5%
부 349
 
3.2%
인 306
 
2.8%
이 296
 
2.7%
신 255
 
2.3%
회 247
 
2.3%
천 237
 
2.2%
탁 204
 
1.9%
공 204
 
1.9%
Other values (393) 7548
69.4%
ASCII
ValueCountFrequency (%)
648
27.9%
( 571
24.5%
) 569
24.5%
1 70
 
3.0%
/ 68
 
2.9%
S 53
 
2.3%
T 50
 
2.1%
K 46
 
2.0%
C 45
 
1.9%
L 35
 
1.5%
Other values (29) 171
 
7.4%
None
ValueCountFrequency (%)
㈜ 3
100.0%

신고인
Text

Distinct306
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-03-18T14:10:42.976651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20
Mean length9.5048399
Min length4

Characters and Unicode

Total characters12765
Distinct characters234
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

Unique134 ?
Unique (%)10.0%

Sample

1st row(주)천일이앤씨
2nd row병오씨엠엔지니어링
3rd row(주)하나설비설계사무소
4th row(주)하나설비설계사무소
5th row(주)하나설비설계사무소
ValueCountFrequency (%)
주식회사 112
 
7.2%
주)케이티 85
 
5.4%
주)하나설비설계사무소 84
 
5.4%
거산이앤지 67
 
4.3%
한국전력공사 55
 
3.5%
문엔지니어링(주 43
 
2.8%
엘케이기술단 39
 
2.5%
주)현이엔지 34
 
2.2%
인천본부 32
 
2.0%
주)이룸이앤씨 31
 
2.0%
Other values (305) 981
62.8%
2024-03-18T14:10:43.322975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1120
 
8.8%
( 999
 
7.8%
) 999
 
7.8%
이 694
 
5.4%
사 598
 
4.7%
지 472
 
3.7%
엔 335
 
2.6%
기 238
 
1.9%
씨 225
 
1.8%
무 222
 
1.7%
Other values (224) 6863
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10391
81.4%
Open Punctuation 1000
 
7.8%
Close Punctuation 1000
 
7.8%
Space Separator 220
 
1.7%
Uppercase Letter 91
 
0.7%
Lowercase Letter 41
 
0.3%
Other Punctuation 9
 
0.1%
Decimal Number 9
 
0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1120
 
10.8%
이 694
 
6.7%
사 598
 
5.8%
지 472
 
4.5%
엔 335
 
3.2%
기 238
 
2.3%
씨 225
 
2.2%
무 222
 
2.1%
소 220
 
2.1%
어 216
 
2.1%
Other values (202) 6051
58.2%
Uppercase Letter
ValueCountFrequency (%)
K 30
33.0%
T 29
31.9%
S 9
 
9.9%
C 9
 
9.9%
I 8
 
8.8%
N 2
 
2.2%
E 2
 
2.2%
G 1
 
1.1%
W 1
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
k 20
48.8%
t 20
48.8%
n 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 5
55.6%
2 3
33.3%
9 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 999
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 999
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
220
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10395
81.4%
Common 2238
 
17.5%
Latin 132
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1120
 
10.8%
이 694
 
6.7%
사 598
 
5.8%
지 472
 
4.5%
엔 335
 
3.2%
기 238
 
2.3%
씨 225
 
2.2%
무 222
 
2.1%
소 220
 
2.1%
어 216
 
2.1%
Other values (203) 6055
58.2%
Latin
ValueCountFrequency (%)
K 30
22.7%
T 29
22.0%
k 20
15.2%
t 20
15.2%
S 9
 
6.8%
C 9
 
6.8%
I 8
 
6.1%
N 2
 
1.5%
E 2
 
1.5%
G 1
 
0.8%
Other values (2) 2
 
1.5%
Common
ValueCountFrequency (%)
( 999
44.6%
) 999
44.6%
220
 
9.8%
/ 9
 
0.4%
1 5
 
0.2%
2 3
 
0.1%
9 1
 
< 0.1%
] 1
 
< 0.1%
[ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10391
81.4%
ASCII 2370
 
18.6%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1120
 
10.8%
이 694
 
6.7%
사 598
 
5.8%
지 472
 
4.5%
엔 335
 
3.2%
기 238
 
2.3%
씨 225
 
2.2%
무 222
 
2.1%
소 220
 
2.1%
어 216
 
2.1%
Other values (202) 6051
58.2%
ASCII
ValueCountFrequency (%)
( 999
42.2%
) 999
42.2%
220
 
9.3%
K 30
 
1.3%
T 29
 
1.2%
k 20
 
0.8%
t 20
 
0.8%
S 9
 
0.4%
C 9
 
0.4%
/ 9
 
0.4%
Other values (11) 26
 
1.1%
None
ValueCountFrequency (%)
㈜ 4
100.0%

공사업자
Text

Distinct575
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-03-18T14:10:43.542271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length9.3782576
Min length3

Characters and Unicode

Total characters12595
Distinct characters320
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique347 ?
Unique (%)25.8%

Sample

1st row거산전설 주식회사
2nd row주식회사 유티스
3rd row주식회사 유에스
4th row토탈정보통신
5th row주식회사 디에이건설
ValueCountFrequency (%)
주식회사 343
 
18.6%
토탈이앤텍 47
 
2.5%
신광전기 37
 
2.0%
다람정보통신 31
 
1.7%
한전케이디엔(주 28
 
1.5%
유인정보통신주식회사 28
 
1.5%
주)유일통신 25
 
1.4%
co 19
 
1.0%
ltd 18
 
1.0%
코콤정보통신주식회사 18
 
1.0%
Other values (602) 1254
67.9%
2024-03-18T14:10:43.890505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1170
 
9.3%
( 808
 
6.4%
) 808
 
6.4%
신 508
 
4.0%
505
 
4.0%
사 428
 
3.4%
통 418
 
3.3%
회 410
 
3.3%
식 405
 
3.2%
이 396
 
3.1%
Other values (310) 6739
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9635
76.5%
Open Punctuation 808
 
6.4%
Close Punctuation 808
 
6.4%
Lowercase Letter 518
 
4.1%
Space Separator 505
 
4.0%
Uppercase Letter 199
 
1.6%
Other Punctuation 111
 
0.9%
Decimal Number 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1170
 
12.1%
신 508
 
5.3%
사 428
 
4.4%
통 418
 
4.3%
회 410
 
4.3%
식 405
 
4.2%
이 396
 
4.1%
정 340
 
3.5%
보 327
 
3.4%
스 259
 
2.7%
Other values (261) 4974
51.6%
Lowercase Letter
ValueCountFrequency (%)
o 73
14.1%
n 72
13.9%
e 66
12.7%
t 65
12.5%
i 45
8.7%
r 32
6.2%
d 28
 
5.4%
g 28
 
5.4%
c 18
 
3.5%
k 17
 
3.3%
Other values (10) 74
14.3%
Uppercase Letter
ValueCountFrequency (%)
C 59
29.6%
L 42
21.1%
S 17
 
8.5%
D 15
 
7.5%
T 10
 
5.0%
E 10
 
5.0%
H 8
 
4.0%
O 7
 
3.5%
K 7
 
3.5%
G 7
 
3.5%
Other values (9) 17
 
8.5%
Other Punctuation
ValueCountFrequency (%)
. 69
62.2%
, 34
30.6%
& 7
 
6.3%
/ 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 6
54.5%
2 3
27.3%
3 2
 
18.2%
Open Punctuation
ValueCountFrequency (%)
( 808
100.0%
Close Punctuation
ValueCountFrequency (%)
) 808
100.0%
Space Separator
ValueCountFrequency (%)
505
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9623
76.4%
Common 2243
 
17.8%
Latin 717
 
5.7%
Han 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1170
 
12.2%
신 508
 
5.3%
사 428
 
4.4%
통 418
 
4.3%
회 410
 
4.3%
식 405
 
4.2%
이 396
 
4.1%
정 340
 
3.5%
보 327
 
3.4%
스 259
 
2.7%
Other values (249) 4962
51.6%
Latin
ValueCountFrequency (%)
o 73
 
10.2%
n 72
 
10.0%
e 66
 
9.2%
t 65
 
9.1%
C 59
 
8.2%
i 45
 
6.3%
L 42
 
5.9%
r 32
 
4.5%
d 28
 
3.9%
g 28
 
3.9%
Other values (29) 207
28.9%
Han
ValueCountFrequency (%)
元 1
8.3%
我 1
8.3%
信 1
8.3%
綜 1
8.3%
合 1
8.3%
開 1
8.3%
發 1
8.3%
株 1
8.3%
式 1
8.3%
會 1
8.3%
Other values (2) 2
16.7%
Common
ValueCountFrequency (%)
( 808
36.0%
) 808
36.0%
505
22.5%
. 69
 
3.1%
, 34
 
1.5%
& 7
 
0.3%
1 6
 
0.3%
2 3
 
0.1%
3 2
 
0.1%
/ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9623
76.4%
ASCII 2960
 
23.5%
CJK 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1170
 
12.2%
신 508
 
5.3%
사 428
 
4.4%
통 418
 
4.3%
회 410
 
4.3%
식 405
 
4.2%
이 396
 
4.1%
정 340
 
3.5%
보 327
 
3.4%
스 259
 
2.7%
Other values (249) 4962
51.6%
ASCII
ValueCountFrequency (%)
( 808
27.3%
) 808
27.3%
505
17.1%
o 73
 
2.5%
n 72
 
2.4%
. 69
 
2.3%
e 66
 
2.2%
t 65
 
2.2%
C 59
 
2.0%
i 45
 
1.5%
Other values (39) 390
13.2%
CJK
ValueCountFrequency (%)
元 1
8.3%
我 1
8.3%
信 1
8.3%
綜 1
8.3%
合 1
8.3%
開 1
8.3%
發 1
8.3%
株 1
8.3%
式 1
8.3%
會 1
8.3%
Other values (2) 2
16.7%

용역명
Text

Distinct1275
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2024-03-18T14:10:44.123887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length48
Mean length28.020104
Min length6

Characters and Unicode

Total characters37631
Distinct characters510
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1247 ?
Unique (%)92.9%

Sample

1st row루원시티주차장2 공영주차장 조성사업
2nd row인천해사고 통합교사동 증축공사 감동권한대행 등 건설사업관리용역
3rd row선학동 365-1번지 공영주차장 입체화사업 정보통신공사 감리용역
4th row가좌동 278-2번지 의료시설(병원) 신축공사 통신 감리용역
5th row송도동 10-46 외 1필지 공장 신축공사 감리용역
ValueCountFrequency (%)
감리용역 386
 
5.3%
신축공사 303
 
4.2%
정보통신공사 275
 
3.8%
신축 262
 
3.6%
감리 216
 
3.0%
통신감리용역 103
 
1.4%
통신공사 96
 
1.3%
및 96
 
1.3%
업무시설 89
 
1.2%
근린생활시설 85
 
1.2%
Other values (2200) 5365
73.7%
2024-03-18T14:10:44.483044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5933
 
15.8%
신 1494
 
4.0%
사 1427
 
3.8%
공 1374
 
3.7%
리 990
 
2.6%
2 918
 
2.4%
감 901
 
2.4%
역 873
 
2.3%
1 802
 
2.1%
통 798
 
2.1%
Other values (500) 22121
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25273
67.2%
Space Separator 5933
 
15.8%
Decimal Number 3701
 
9.8%
Uppercase Letter 1175
 
3.1%
Dash Punctuation 627
 
1.7%
Close Punctuation 285
 
0.8%
Open Punctuation 283
 
0.8%
Other Punctuation 184
 
0.5%
Lowercase Letter 92
 
0.2%
Connector Punctuation 62
 
0.2%
Other values (3) 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 1494
 
5.9%
사 1427
 
5.6%
공 1374
 
5.4%
리 990
 
3.9%
감 901
 
3.6%
역 873
 
3.5%
통 798
 
3.2%
용 792
 
3.1%
축 759
 
3.0%
설 754
 
3.0%
Other values (429) 15111
59.8%
Uppercase Letter
ValueCountFrequency (%)
C 223
19.0%
T 110
9.4%
A 108
9.2%
B 98
 
8.3%
L 95
 
8.1%
V 76
 
6.5%
W 55
 
4.7%
N 50
 
4.3%
I 48
 
4.1%
M 48
 
4.1%
Other values (15) 264
22.5%
Lowercase Letter
ValueCountFrequency (%)
k 15
16.3%
e 14
15.2%
i 13
14.1%
o 10
10.9%
r 8
8.7%
n 5
 
5.4%
a 5
 
5.4%
t 5
 
5.4%
s 4
 
4.3%
d 3
 
3.3%
Other values (7) 10
10.9%
Decimal Number
ValueCountFrequency (%)
2 918
24.8%
1 802
21.7%
0 399
10.8%
3 370
10.0%
4 253
 
6.8%
5 242
 
6.5%
8 186
 
5.0%
6 184
 
5.0%
7 181
 
4.9%
9 166
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 98
53.3%
' 30
 
16.3%
/ 29
 
15.8%
· 15
 
8.2%
. 5
 
2.7%
& 4
 
2.2%
# 3
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 284
99.6%
] 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 282
99.6%
[ 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 6
85.7%
+ 1
 
14.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅳ 2
40.0%
Space Separator
ValueCountFrequency (%)
5933
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 627
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 62
100.0%
Other Symbol
ValueCountFrequency (%)
○ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25273
67.2%
Common 11086
29.5%
Latin 1272
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 1494
 
5.9%
사 1427
 
5.6%
공 1374
 
5.4%
리 990
 
3.9%
감 901
 
3.6%
역 873
 
3.5%
통 798
 
3.2%
용 792
 
3.1%
축 759
 
3.0%
설 754
 
3.0%
Other values (429) 15111
59.8%
Latin
ValueCountFrequency (%)
C 223
17.5%
T 110
 
8.6%
A 108
 
8.5%
B 98
 
7.7%
L 95
 
7.5%
V 76
 
6.0%
W 55
 
4.3%
N 50
 
3.9%
I 48
 
3.8%
M 48
 
3.8%
Other values (34) 361
28.4%
Common
ValueCountFrequency (%)
5933
53.5%
2 918
 
8.3%
1 802
 
7.2%
- 627
 
5.7%
0 399
 
3.6%
3 370
 
3.3%
) 284
 
2.6%
( 282
 
2.5%
4 253
 
2.3%
5 242
 
2.2%
Other values (17) 976
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25273
67.2%
ASCII 12334
32.8%
None 15
 
< 0.1%
Number Forms 5
 
< 0.1%
Geometric Shapes 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5933
48.1%
2 918
 
7.4%
1 802
 
6.5%
- 627
 
5.1%
0 399
 
3.2%
3 370
 
3.0%
) 284
 
2.3%
( 282
 
2.3%
4 253
 
2.1%
5 242
 
2.0%
Other values (57) 2224
 
18.0%
Hangul
ValueCountFrequency (%)
신 1494
 
5.9%
사 1427
 
5.6%
공 1374
 
5.4%
리 990
 
3.9%
감 901
 
3.6%
역 873
 
3.5%
통 798
 
3.2%
용 792
 
3.1%
축 759
 
3.0%
설 754
 
3.0%
Other values (429) 15111
59.8%
None
ValueCountFrequency (%)
· 15
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅳ 2
40.0%

현장주소
Text

Distinct1245
Distinct (%)92.8%
Missing1
Missing (%)0.1%
Memory size10.6 KiB
2024-03-18T14:10:44.786528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length21.169151
Min length4

Characters and Unicode

Total characters28409
Distinct characters341
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

Unique1189 ?
Unique (%)88.6%

Sample

1st row인천광역시 서구 가정동 일대
2nd row인천광역시 중구 월미로 338(북성동 1가, 인천해사고 내)
3rd row인천광역시 연수구 선학동 365-1번지
4th row인천광역시 서구 가좌동 278-2번지
5th row인천광역시 연수구 송도동 10-46외 1필지
ValueCountFrequency (%)
인천광역시 1020
 
16.6%
서구 345
 
5.6%
중구 169
 
2.8%
미추홀구 166
 
2.7%
외 149
 
2.4%
부평구 144
 
2.3%
남동구 143
 
2.3%
연수구 143
 
2.3%
인천 134
 
2.2%
일원 126
 
2.1%
Other values (1700) 3596
58.6%
2024-03-18T14:10:45.199871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4793
 
16.9%
천 1356
 
4.8%
인 1346
 
4.7%
구 1324
 
4.7%
시 1235
 
4.3%
동 1188
 
4.2%
1 1117
 
3.9%
역 1076
 
3.8%
광 1025
 
3.6%
- 918
 
3.2%
Other values (331) 13031
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17071
60.1%
Decimal Number 5056
 
17.8%
Space Separator 4793
 
16.9%
Dash Punctuation 918
 
3.2%
Uppercase Letter 278
 
1.0%
Other Punctuation 92
 
0.3%
Close Punctuation 85
 
0.3%
Open Punctuation 83
 
0.3%
Lowercase Letter 21
 
0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 1356
 
7.9%
인 1346
 
7.9%
구 1324
 
7.8%
시 1235
 
7.2%
동 1188
 
7.0%
역 1076
 
6.3%
광 1025
 
6.0%
지 507
 
3.0%
서 422
 
2.5%
로 276
 
1.6%
Other values (282) 7316
42.9%
Uppercase Letter
ValueCountFrequency (%)
B 57
20.5%
A 55
19.8%
C 44
15.8%
L 41
14.7%
K 15
 
5.4%
T 15
 
5.4%
I 10
 
3.6%
F 9
 
3.2%
P 7
 
2.5%
O 5
 
1.8%
Other values (8) 20
 
7.2%
Lowercase Letter
ValueCountFrequency (%)
o 4
19.0%
k 4
19.0%
a 2
9.5%
r 2
9.5%
d 2
9.5%
e 2
9.5%
p 1
 
4.8%
j 1
 
4.8%
m 1
 
4.8%
t 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 1117
22.1%
2 729
14.4%
3 558
11.0%
4 510
10.1%
5 423
 
8.4%
6 358
 
7.1%
7 354
 
7.0%
8 351
 
6.9%
9 328
 
6.5%
0 328
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 82
89.1%
/ 4
 
4.3%
· 3
 
3.3%
. 3
 
3.3%
Math Symbol
ValueCountFrequency (%)
~ 11
91.7%
| 1
 
8.3%
Space Separator
ValueCountFrequency (%)
4793
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 918
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17070
60.1%
Common 11039
38.9%
Latin 299
 
1.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 1356
 
7.9%
인 1346
 
7.9%
구 1324
 
7.8%
시 1235
 
7.2%
동 1188
 
7.0%
역 1076
 
6.3%
광 1025
 
6.0%
지 507
 
3.0%
서 422
 
2.5%
로 276
 
1.6%
Other values (281) 7315
42.9%
Latin
ValueCountFrequency (%)
B 57
19.1%
A 55
18.4%
C 44
14.7%
L 41
13.7%
K 15
 
5.0%
T 15
 
5.0%
I 10
 
3.3%
F 9
 
3.0%
P 7
 
2.3%
O 5
 
1.7%
Other values (19) 41
13.7%
Common
ValueCountFrequency (%)
4793
43.4%
1 1117
 
10.1%
- 918
 
8.3%
2 729
 
6.6%
3 558
 
5.1%
4 510
 
4.6%
5 423
 
3.8%
6 358
 
3.2%
7 354
 
3.2%
8 351
 
3.2%
Other values (10) 928
 
8.4%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17070
60.1%
ASCII 11335
39.9%
None 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4793
42.3%
1 1117
 
9.9%
- 918
 
8.1%
2 729
 
6.4%
3 558
 
4.9%
4 510
 
4.5%
5 423
 
3.7%
6 358
 
3.2%
7 354
 
3.1%
8 351
 
3.1%
Other values (38) 1224
 
10.8%
Hangul
ValueCountFrequency (%)
천 1356
 
7.9%
인 1346
 
7.9%
구 1324
 
7.8%
시 1235
 
7.2%
동 1188
 
7.0%
역 1076
 
6.3%
광 1025
 
6.0%
지 507
 
3.0%
서 422
 
2.5%
로 276
 
1.6%
Other values (281) 7315
42.9%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

공사의종류
Text

Distinct136
Distinct (%)10.2%
Missing11
Missing (%)0.8%
Memory size10.6 KiB
2024-03-18T14:10:45.395736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length8
Mean length9.5397898
Min length2

Characters and Unicode

Total characters12707
Distinct characters119
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

Unique80 ?
Unique (%)6.0%

Sample

1st row구내통신선로설비, 방송공동수신설비, 이동통신선로설비
2nd row구내통신설비
3rd row구내통신설비공사
4th row구내통신설비공사
5th row구내통신설비공사
ValueCountFrequency (%)
구내통신설비공사 606
38.6%
구내통신선로설비 197
 
12.5%
통신선로설비공사 127
 
8.1%
정보제어·보안설비공사 66
 
4.2%
방송공동수신설비 64
 
4.1%
정보통신공사 47
 
3.0%
구내통신선로설비공사 35
 
2.2%
이동통신구내선로설비 29
 
1.8%
전송설비공사 21
 
1.3%
정보통신 20
 
1.3%
Other values (124) 359
22.9%
2024-03-18T14:10:45.749854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
설 1378
10.8%
비 1358
10.7%
신 1314
10.3%
통 1222
9.6%
공 1192
9.4%
사 1107
8.7%
구 931
7.3%
내 931
7.3%
선 496
 
3.9%
로 465
 
3.7%
Other values (109) 2313
18.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12113
95.3%
Other Punctuation 266
 
2.1%
Space Separator 239
 
1.9%
Uppercase Letter 61
 
0.5%
Decimal Number 10
 
0.1%
Open Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 1378
11.4%
비 1358
11.2%
신 1314
10.8%
통 1222
10.1%
공 1192
9.8%
사 1107
9.1%
구 931
7.7%
내 931
7.7%
선 496
 
4.1%
로 465
 
3.8%
Other values (92) 1719
14.2%
Uppercase Letter
ValueCountFrequency (%)
C 19
31.1%
T 10
16.4%
V 10
16.4%
B 7
 
11.5%
M 7
 
11.5%
D 7
 
11.5%
A 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 180
67.7%
· 81
30.5%
. 5
 
1.9%
Decimal Number
ValueCountFrequency (%)
2 5
50.0%
1 3
30.0%
0 2
 
20.0%
Space Separator
ValueCountFrequency (%)
239
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12113
95.3%
Common 533
 
4.2%
Latin 61
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 1378
11.4%
비 1358
11.2%
신 1314
10.8%
통 1222
10.1%
공 1192
9.8%
사 1107
9.1%
구 931
7.7%
내 931
7.7%
선 496
 
4.1%
로 465
 
3.8%
Other values (92) 1719
14.2%
Common
ValueCountFrequency (%)
239
44.8%
, 180
33.8%
· 81
 
15.2%
( 8
 
1.5%
) 8
 
1.5%
2 5
 
0.9%
. 5
 
0.9%
1 3
 
0.6%
- 2
 
0.4%
0 2
 
0.4%
Latin
ValueCountFrequency (%)
C 19
31.1%
T 10
16.4%
V 10
16.4%
B 7
 
11.5%
M 7
 
11.5%
D 7
 
11.5%
A 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12113
95.3%
ASCII 513
 
4.0%
None 81
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
설 1378
11.4%
비 1358
11.2%
신 1314
10.8%
통 1222
10.1%
공 1192
9.8%
사 1107
9.1%
구 931
7.7%
내 931
7.7%
선 496
 
4.1%
로 465
 
3.8%
Other values (92) 1719
14.2%
ASCII
ValueCountFrequency (%)
239
46.6%
, 180
35.1%
C 19
 
3.7%
T 10
 
1.9%
V 10
 
1.9%
( 8
 
1.6%
) 8
 
1.6%
B 7
 
1.4%
M 7
 
1.4%
D 7
 
1.4%
Other values (6) 18
 
3.5%
None
ValueCountFrequency (%)
· 81
100.0%

총공사금액(천원)
Real number (ℝ)

SKEWED 

Distinct982
Distinct (%)73.3%
Missing4
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean2706445.3
Minimum24
Maximum1.243294 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2024-03-18T14:10:45.895999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile8270
Q135000
median137000
Q3494643
95-th percentile5991863.8
Maximum1.243294 × 109
Range1.2432939 × 109
Interquartile range (IQR)459643

Descriptive statistics

Standard deviation38635816
Coefficient of variation (CV)14.275484
Kurtosis855.09131
Mean2706445.3
Median Absolute Deviation (MAD)117000
Skewness28.356919
Sum3.6239303 × 109
Variance1.4927263 × 1015
MonotonicityNot monotonic
2024-03-18T14:10:46.246462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000 22
 
1.6%
15000 22
 
1.6%
25000 18
 
1.3%
10000 14
 
1.0%
30000 14
 
1.0%
8000 14
 
1.0%
55000 13
 
1.0%
5000 12
 
0.9%
12000 12
 
0.9%
9000 12
 
0.9%
Other values (972) 1186
88.3%
ValueCountFrequency (%)
24 1
0.1%
1050 1
0.1%
1066 1
0.1%
1100 1
0.1%
1672 1
0.1%
1802 1
0.1%
2000 1
0.1%
2200 1
0.1%
2713 1
0.1%
2750 1
0.1%
ValueCountFrequency (%)
1243293953 1
0.1%
652306720 1
0.1%
91801054 1
0.1%
68400000 1
0.1%
50360000 1
0.1%
49216964 1
0.1%
40615300 1
0.1%
39315673 1
0.1%
37200000 1
0.1%
28262962 1
0.1%

공사기간
Text

Distinct1251
Distinct (%)93.4%
Missing4
Missing (%)0.3%
Memory size10.6 KiB
2024-03-18T14:10:46.475739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters30797
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1177 ?
Unique (%)87.9%

Sample

1st row2022-11-14 ~ 2023-11-30
2nd row2022-02-21 ~ 2023-04-20
3rd row2023-08-03 ~ 2024-01-29
4th row2023-08-01 ~ 2023-12-31
5th row2022-12-01 ~ 2032-07-30
ValueCountFrequency (%)
1339
33.3%
2023-06-30 33
 
0.8%
2021-11-30 28
 
0.7%
2021-12-31 26
 
0.6%
2022-12-31 26
 
0.6%
2023-08-31 23
 
0.6%
2022-10-31 22
 
0.5%
2020-12-31 20
 
0.5%
2022-12-30 20
 
0.5%
2022-11-30 20
 
0.5%
Other values (887) 2460
61.2%
2024-03-18T14:10:46.829683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7332
23.8%
0 6380
20.7%
- 5356
17.4%
1 3373
11.0%
2678
 
8.7%
3 1834
 
6.0%
~ 1339
 
4.3%
5 512
 
1.7%
4 488
 
1.6%
8 421
 
1.4%
Other values (3) 1084
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21424
69.6%
Dash Punctuation 5356
 
17.4%
Space Separator 2678
 
8.7%
Math Symbol 1339
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7332
34.2%
0 6380
29.8%
1 3373
15.7%
3 1834
 
8.6%
5 512
 
2.4%
4 488
 
2.3%
8 421
 
2.0%
6 379
 
1.8%
7 364
 
1.7%
9 341
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 5356
100.0%
Space Separator
ValueCountFrequency (%)
2678
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1339
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30797
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7332
23.8%
0 6380
20.7%
- 5356
17.4%
1 3373
11.0%
2678
 
8.7%
3 1834
 
6.0%
~ 1339
 
4.3%
5 512
 
1.7%
4 488
 
1.6%
8 421
 
1.4%
Other values (3) 1084
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30797
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7332
23.8%
0 6380
20.7%
- 5356
17.4%
1 3373
11.0%
2678
 
8.7%
3 1834
 
6.0%
~ 1339
 
4.3%
5 512
 
1.7%
4 488
 
1.6%
8 421
 
1.4%
Other values (3) 1084
 
3.5%

감리원 배치현황(또는 변경전)
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
1명
1132 
2명
166 
3명
 
32
4명
 
5
7명
 
4
Other values (2)
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2명
2nd row2명
3rd row1명
4th row1명
5th row1명

Common Values

ValueCountFrequency (%)
1명 1132
84.3%
2명 166
 
12.4%
3명 32
 
2.4%
4명 5
 
0.4%
7명 4
 
0.3%
6명 2
 
0.1%
5명 2
 
0.1%

Length

2024-03-18T14:10:46.952166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:10:47.042304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1명 1132
84.3%
2명 166
 
12.4%
3명 32
 
2.4%
4명 5
 
0.4%
7명 4
 
0.3%
6명 2
 
0.1%
5명 2
 
0.1%

감리원 배치현황(변경 후)
Categorical

IMBALANCE 

Distinct16
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
0명
974 
1명
148 
2명
112 
3명
 
44
4명
 
25
Other values (11)
 
40

Length

Max length3
Median length2
Mean length2.0044676
Min length2

Unique

Unique6 ?
Unique (%)0.4%

Sample

1st row2명
2nd row7명
3rd row0명
4th row0명
5th row1명

Common Values

ValueCountFrequency (%)
0명 974
72.5%
1명 148
 
11.0%
2명 112
 
8.3%
3명 44
 
3.3%
4명 25
 
1.9%
5명 12
 
0.9%
7명 8
 
0.6%
6명 6
 
0.4%
8명 5
 
0.4%
9명 3
 
0.2%
Other values (6) 6
 
0.4%

Length

2024-03-18T14:10:47.172527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0명 974
72.5%
1명 148
 
11.0%
2명 112
 
8.3%
3명 44
 
3.3%
4명 25
 
1.9%
5명 12
 
0.9%
7명 8
 
0.6%
6명 6
 
0.4%
8명 5
 
0.4%
9명 3
 
0.2%
Other values (6) 6
 
0.4%

2인이상의 공사감리
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
X
1290 
O
 
53

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
X 1290
96.1%
O 53
 
3.9%

Length

2024-03-18T14:10:47.282495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:10:47.375175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
x 1290
96.1%
o 53
 
3.9%

Interactions

2024-03-18T14:10:41.091829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:10:40.869553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:10:41.184181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:10:41.004934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:10:47.428375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번총공사금액(천원)감리원 배치현황(또는 변경전)감리원 배치현황(변경 후)2인이상의 공사감리
연번1.0000.0040.0180.1960.407
총공사금액(천원)0.0041.0000.0000.0000.000
감리원 배치현황(또는 변경전)0.0180.0001.0000.7710.000
감리원 배치현황(변경 후)0.1960.0000.7711.0000.000
2인이상의 공사감리0.4070.0000.0000.0001.000
2024-03-18T14:10:47.520404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
감리원 배치현황(변경 후)감리원 배치현황(또는 변경전)2인이상의 공사감리
감리원 배치현황(변경 후)1.0000.4920.000
감리원 배치현황(또는 변경전)0.4921.0000.000
2인이상의 공사감리0.0000.0001.000
2024-03-18T14:10:47.609077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번총공사금액(천원)감리원 배치현황(또는 변경전)감리원 배치현황(변경 후)2인이상의 공사감리
연번1.000-0.1340.0090.0780.312
총공사금액(천원)-0.1341.0000.0000.0000.000
감리원 배치현황(또는 변경전)0.0090.0001.0000.4920.000
감리원 배치현황(변경 후)0.0780.0000.4921.0000.000
2인이상의 공사감리0.3120.0000.0000.0001.000

Missing values

2024-03-18T14:10:41.341827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:10:41.501585image/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.
2024-03-18T14:10:41.627634image/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

연번신고일자발주자신고인공사업자용역명현장주소공사의종류총공사금액(천원)공사기간감리원 배치현황(또는 변경전)감리원 배치현황(변경 후)2인이상의 공사감리
012022-12-01인천광역시 서구청(주)천일이앤씨거산전설 주식회사루원시티주차장2 공영주차장 조성사업인천광역시 서구 가정동 일대구내통신선로설비, 방송공동수신설비, 이동통신선로설비2150042022-11-14 ~ 2023-11-302명2명X
122022-03-25해양수산부 인천해사고등학교병오씨엠엔지니어링주식회사 유티스인천해사고 통합교사동 증축공사 감동권한대행 등 건설사업관리용역인천광역시 중구 월미로 338(북성동 1가, 인천해사고 내)구내통신설비3466732022-02-21 ~ 2023-04-202명7명X
232023-08-11인천광역시 연수구청(주)하나설비설계사무소주식회사 유에스선학동 365-1번지 공영주차장 입체화사업 정보통신공사 감리용역인천광역시 연수구 선학동 365-1번지구내통신설비공사335732023-08-03 ~ 2024-01-291명0명X
342023-08-11의료법인 루가의료재단(주)하나설비설계사무소토탈정보통신가좌동 278-2번지 의료시설(병원) 신축공사 통신 감리용역인천광역시 서구 가좌동 278-2번지구내통신설비공사550002023-08-01 ~ 2023-12-311명0명X
452022-12-09(주)토비스(주)하나설비설계사무소주식회사 디에이건설송도동 10-46 외 1필지 공장 신축공사 감리용역인천광역시 연수구 송도동 10-46외 1필지구내통신설비공사1489182022-12-01 ~ 2032-07-301명1명X
562023-01-31신영부동산신탁 주식회사주식회사 유성기술단우리네트웍스(주)인천광역시 서구 원창동 381-65 숙박시설 신축공사인천광역시 서구 원창동 381-65구내통신설비공사3241702023-01-02 ~ 2023-10-021명2명X
672021-11-24강태영(주)현이엔지주식회사 동아기술중구 유동 요양병원 신축 통신 감리용역인천광역시 중구 유동 18-4구내통신선로설비350002021-11-08 ~ 2023-08-311명8명X
782022-12-08인천세관(주)토문엔지니어링건축사사무소(주)에스포스텔레콤인천항 세관 통합검사장 신축사업 감독 권한대행 등 건설사업관리용역(Ci4)인천광역시 연수구 송도동 297-15번지구내통신설비공사13543342022-11-04 ~ 2023-07-082명1명X
892022-04-27인천광역시 남동구청(주)태원종합기술단건축사사무소(주)메가텔세대통합형 복합시설 건립공사 감독권한대행 등 건설사업관리용역인천광역시 남동구 서창동 680구내통신설비공사5145582022-04-01 ~ 2023-09-301명2명X
9102022-11-25인천도시공사(주)건축사사무소 케이아이씨한화시스템(주)검단 주택건설사업(AA16BL) 감독권한대행 등 건설사업관리용역인천광역시 서구 고산후로 245(불로동)구내통신설비 등46668062022-10-26 ~ 2025-01-122명3명X
연번신고일자발주자신고인공사업자용역명현장주소공사의종류총공사금액(천원)공사기간감리원 배치현황(또는 변경전)감리원 배치현황(변경 후)2인이상의 공사감리
133313342020-01-30(주)케이티(주)케이티태성전기통신(주)2020년 인천루원시티 기간광선로(본이설)지장이전공사인천시 서구 석남동 496통신선로1405512020-01-22 ~ 2020-04-301명1명X
133413352019-12-11국립환경과학원(주)하나설비설계사무소대광이엔씨 주식회사국립환경과학원 공동시약창고 건립공사 감리용역인천광역시 서구 경서동 수도권매립지 2-1공구증축215002019-11-18 ~ 2020-03-161명1명O
133513362020-03-05(주)어반마케팅청암엔지니어링(주)씨엠비젼전기통신용현동 드래곤프라자 신축 정보통신공사 감리용역인천 미추홀구 용현동 용마루주거환경개선정비구역 4블럭 3로트정보통신242020-03-10 ~ 2020-08-312명0명X
133613372020-03-02(주)삼정유앤디(주)세명이엔지토탈이앤텍인천 용현학익7블록 도시개발사업 기반시설공사 건설사업관리용역(통신)용현학익 도시개발구역 7블록기반시설공사1094872020-02-01 ~ 2021-05-311명0명X
133713382020-02-18정기동거산이앤지토탈이앤텍부개동 502-2인천 부평구 부개동 502-2정보통신60002020-01-30 ~ 2020-03-301명0명X
133813392020-02-13한국전력공사 인천본부한국전력공사한전케이디엔(주)임학계양#T/L광케이블 시설공사인천광역시 계양구, 서구 일대정보통신321530<NA>1명0명X
133913402020-01-06인천광역시 서구청거산이앤지(주)시트론정보통신가재울 꿈 도서관 건립공사(통신)감리용역<NA>정보통신4575062019-12-23 ~ 2021-01-201명1명X
134013412020-01-06인천광역시 서구청거산이엔지인천전기통신(주)심곡동 323-8번지 공용주차장 조성공사 감리용역(통신)심곡동 323-8번지정보통신369762019-12-13 ~ 2020-06-091명1명X
134113422020-02-13인천광역시 서구청거산이앤지(주)이노테크미디어신거북시장 주차장 및 판매시설 신축공사 통신감리용역인천광역시 서구 석남동 548-7정보통신2245612019-12-30 ~ 2020-12-231명0명X
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