Overview

Dataset statistics

Number of variables7
Number of observations2538
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory141.4 KiB
Average record size in memory57.1 B

Variable types

Categorical3
Text2
Numeric1
DateTime1

Dataset

Description구리시 본청, 시립도서관 등 경기도 구리시 지역내에 위치한 공공업무 시설이 체결한 공사, 용역 계약과 관련된 정보공개 현황입니다.
URLhttps://www.data.go.kr/data/15068470/fileData.do

Alerts

데이터기준일 has constant value ""Constant
Dataset has 2 (0.1%) duplicate rowsDuplicates
계약금액 is highly skewed (γ1 = 27.03942228)Skewed

Reproduction

Analysis started2023-12-12 12:13:58.316887
Analysis finished2023-12-12 12:13:59.427226
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
물품
1574 
용역
594 
공사
370 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물품 1574
62.0%
용역 594
 
23.4%
공사 370
 
14.6%

Length

2023-12-12T21:13:59.490506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:59.609076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 1574
62.0%
용역 594
 
23.4%
공사 370
 
14.6%

부서명
Categorical

Distinct31
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
공원녹지과
482 
회계과
353 
교통행정과
215 
도로과
196 
평생학습과
172 
Other values (26)
1120 

Length

Max length8
Median length5
Mean length4.6725768
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도로과
2nd row평생학습과
3rd row공원녹지과
4th row도로과
5th row환경과

Common Values

ValueCountFrequency (%)
공원녹지과 482
19.0%
회계과 353
13.9%
교통행정과 215
 
8.5%
도로과 196
 
7.7%
평생학습과 172
 
6.8%
정보통신과 123
 
4.8%
노인장애인복지과 123
 
4.8%
안전총괄과 113
 
4.5%
문화예술과 105
 
4.1%
일자리경제과 81
 
3.2%
Other values (21) 575
22.7%

Length

2023-12-12T21:13:59.760102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공원녹지과 482
19.0%
회계과 353
13.9%
교통행정과 215
 
8.5%
도로과 196
 
7.7%
평생학습과 172
 
6.8%
정보통신과 123
 
4.8%
노인장애인복지과 123
 
4.8%
안전총괄과 113
 
4.5%
문화예술과 105
 
4.1%
일자리경제과 81
 
3.2%
Other values (21) 575
22.7%
Distinct2358
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
2023-12-12T21:14:00.099011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length45
Mean length27.668243
Min length6

Characters and Unicode

Total characters70222
Distinct characters689
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2248 ?
Unique (%)88.6%

Sample

1st row검배로 자전거도로 조성사업
2nd row검배 문화체육센터 건립사업(신축) 통신공사
3rd row2022년 경춘북로 가로변 및 갈매지구 가로띠녹지 잡초제거 공사
4th row구리역 앞 인도개설사업
5th row내동2천 수질개선사업(비점오염저감시설 설치) 토목, 기계공사
ValueCountFrequency (%)
구입 485
 
3.8%
용역 403
 
3.1%
관급자재 320
 
2.5%
242
 
1.9%
2023년 206
 
1.6%
구리시 201
 
1.6%
설치 161
 
1.3%
공사 155
 
1.2%
2022년 137
 
1.1%
구매 121
 
0.9%
Other values (3535) 10427
81.1%
2023-12-12T21:14:00.630460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10422
 
14.8%
) 2499
 
3.6%
( 2478
 
3.5%
2237
 
3.2%
2 1475
 
2.1%
1473
 
2.1%
1444
 
2.1%
1416
 
2.0%
1183
 
1.7%
1106
 
1.6%
Other values (679) 44489
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50272
71.6%
Space Separator 10422
 
14.8%
Decimal Number 2838
 
4.0%
Close Punctuation 2580
 
3.7%
Open Punctuation 2558
 
3.6%
Uppercase Letter 877
 
1.2%
Other Punctuation 267
 
0.4%
Dash Punctuation 225
 
0.3%
Lowercase Letter 135
 
0.2%
Connector Punctuation 43
 
0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2237
 
4.4%
1473
 
2.9%
1444
 
2.9%
1416
 
2.8%
1183
 
2.4%
1106
 
2.2%
1074
 
2.1%
1055
 
2.1%
963
 
1.9%
912
 
1.8%
Other values (603) 37409
74.4%
Uppercase Letter
ValueCountFrequency (%)
C 191
21.8%
T 110
12.5%
V 107
12.2%
D 70
 
8.0%
S 62
 
7.1%
L 55
 
6.3%
I 49
 
5.6%
W 43
 
4.9%
E 38
 
4.3%
R 30
 
3.4%
Other values (13) 122
13.9%
Lowercase Letter
ValueCountFrequency (%)
e 31
23.0%
t 10
 
7.4%
n 10
 
7.4%
c 10
 
7.4%
r 8
 
5.9%
o 7
 
5.2%
h 6
 
4.4%
a 6
 
4.4%
d 6
 
4.4%
b 5
 
3.7%
Other values (12) 36
26.7%
Decimal Number
ValueCountFrequency (%)
2 1475
52.0%
0 564
 
19.9%
3 388
 
13.7%
1 171
 
6.0%
5 82
 
2.9%
4 72
 
2.5%
6 28
 
1.0%
7 27
 
1.0%
9 21
 
0.7%
8 10
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 191
71.5%
· 34
 
12.7%
' 20
 
7.5%
. 7
 
2.6%
" 6
 
2.2%
@ 2
 
0.7%
# 2
 
0.7%
! 2
 
0.7%
/ 2
 
0.7%
: 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 2499
96.9%
] 78
 
3.0%
3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2478
96.9%
[ 79
 
3.1%
1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
10422
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 225
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 43
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50261
71.6%
Common 18938
 
27.0%
Latin 1012
 
1.4%
Han 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2237
 
4.5%
1473
 
2.9%
1444
 
2.9%
1416
 
2.8%
1183
 
2.4%
1106
 
2.2%
1074
 
2.1%
1055
 
2.1%
963
 
1.9%
912
 
1.8%
Other values (602) 37398
74.4%
Latin
ValueCountFrequency (%)
C 191
18.9%
T 110
10.9%
V 107
10.6%
D 70
 
6.9%
S 62
 
6.1%
L 55
 
5.4%
I 49
 
4.8%
W 43
 
4.2%
E 38
 
3.8%
e 31
 
3.1%
Other values (35) 256
25.3%
Common
ValueCountFrequency (%)
10422
55.0%
) 2499
 
13.2%
( 2478
 
13.1%
2 1475
 
7.8%
0 564
 
3.0%
3 388
 
2.0%
- 225
 
1.2%
, 191
 
1.0%
1 171
 
0.9%
5 82
 
0.4%
Other values (21) 443
 
2.3%
Han
ValueCountFrequency (%)
11
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50261
71.6%
ASCII 19912
 
28.4%
None 38
 
0.1%
CJK 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10422
52.3%
) 2499
 
12.6%
( 2478
 
12.4%
2 1475
 
7.4%
0 564
 
2.8%
3 388
 
1.9%
- 225
 
1.1%
, 191
 
1.0%
C 191
 
1.0%
1 171
 
0.9%
Other values (63) 1308
 
6.6%
Hangul
ValueCountFrequency (%)
2237
 
4.5%
1473
 
2.9%
1444
 
2.9%
1416
 
2.8%
1183
 
2.4%
1106
 
2.2%
1074
 
2.1%
1055
 
2.1%
963
 
1.9%
912
 
1.8%
Other values (602) 37398
74.4%
None
ValueCountFrequency (%)
· 34
89.5%
3
 
7.9%
1
 
2.6%
CJK
ValueCountFrequency (%)
11
100.0%

계약금액
Real number (ℝ)

SKEWED 

Distinct2209
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34266301
Minimum0
Maximum7.72428 × 109
Zeros20
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size22.4 KiB
2023-12-12T21:14:00.834265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile475100
Q12850000
median8542900
Q319929260
95-th percentile93153590
Maximum7.72428 × 109
Range7.72428 × 109
Interquartile range (IQR)17079260

Descriptive statistics

Standard deviation1.9745173 × 108
Coefficient of variation (CV)5.7622714
Kurtosis954.58018
Mean34266301
Median Absolute Deviation (MAD)6892900
Skewness27.039422
Sum8.6967872 × 1010
Variance3.8987184 × 1016
MonotonicityNot monotonic
2023-12-12T21:14:01.054376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
0.8%
9500000 13
 
0.5%
5000000 9
 
0.4%
4180000 8
 
0.3%
2850000 8
 
0.3%
20240000 7
 
0.3%
4000000 5
 
0.2%
19000000 5
 
0.2%
960000 5
 
0.2%
2640000 5
 
0.2%
Other values (2199) 2453
96.7%
ValueCountFrequency (%)
0 20
0.8%
33320 1
 
< 0.1%
43000 1
 
< 0.1%
45600 1
 
< 0.1%
46000 1
 
< 0.1%
65120 1
 
< 0.1%
82500 1
 
< 0.1%
95040 1
 
< 0.1%
97680 1
 
< 0.1%
103200 1
 
< 0.1%
ValueCountFrequency (%)
7724280000 1
< 0.1%
3423200000 1
< 0.1%
2111384000 1
< 0.1%
1942400000 1
< 0.1%
1793000000 1
< 0.1%
1516770000 1
< 0.1%
1445000000 1
< 0.1%
1107315600 1
< 0.1%
849445260 1
< 0.1%
832370000 1
< 0.1%
Distinct270
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
Minimum2022-05-18 00:00:00
Maximum2023-05-31 00:00:00
2023-12-12T21:14:01.264309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:14:01.458695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1233
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
2023-12-12T21:14:01.804608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length11.919622
Min length2

Characters and Unicode

Total characters30252
Distinct characters509
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique781 ?
Unique (%)30.8%

Sample

1st row(주)용운토건
2nd row(주)대웅텔레콤
3rd row(주)경동조경
4th row(주)용운토건
5th row주식회사 도담개발
ValueCountFrequency (%)
주식회사 361
 
11.0%
서울지방조달청(주식회사 282
 
8.6%
서울지방조달청(엘지전자(주 28
 
0.9%
서울지방조달청(어넥스 24
 
0.7%
서울지방조달청 22
 
0.7%
일월조경산업 18
 
0.5%
휴브소텍 17
 
0.5%
서울지방조달청((주)삼원가구 16
 
0.5%
서울지방조달청(경서아스콘사업(협)동조합 16
 
0.5%
주)푸른숲 15
 
0.5%
Other values (1268) 2488
75.7%
2023-12-12T21:14:02.370742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2162
 
7.1%
) 2159
 
7.1%
1808
 
6.0%
1379
 
4.6%
1237
 
4.1%
1140
 
3.8%
1115
 
3.7%
1114
 
3.7%
1101
 
3.6%
1093
 
3.6%
Other values (499) 15944
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24955
82.5%
Open Punctuation 2162
 
7.1%
Close Punctuation 2159
 
7.1%
Space Separator 749
 
2.5%
Uppercase Letter 170
 
0.6%
Decimal Number 26
 
0.1%
Other Punctuation 25
 
0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1808
 
7.2%
1379
 
5.5%
1237
 
5.0%
1140
 
4.6%
1115
 
4.5%
1114
 
4.5%
1101
 
4.4%
1093
 
4.4%
941
 
3.8%
804
 
3.2%
Other values (461) 13223
53.0%
Uppercase Letter
ValueCountFrequency (%)
E 25
14.7%
C 17
10.0%
R 17
10.0%
T 13
 
7.6%
G 13
 
7.6%
I 12
 
7.1%
P 11
 
6.5%
A 9
 
5.3%
K 8
 
4.7%
D 7
 
4.1%
Other values (11) 38
22.4%
Decimal Number
ValueCountFrequency (%)
5 13
50.0%
1 7
26.9%
8 3
 
11.5%
3 1
 
3.8%
9 1
 
3.8%
2 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
& 10
40.0%
, 9
36.0%
. 5
20.0%
1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
n 3
50.0%
d 1
 
16.7%
t 1
 
16.7%
o 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 2162
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2159
100.0%
Space Separator
ValueCountFrequency (%)
749
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24954
82.5%
Common 5121
 
16.9%
Latin 176
 
0.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1808
 
7.2%
1379
 
5.5%
1237
 
5.0%
1140
 
4.6%
1115
 
4.5%
1114
 
4.5%
1101
 
4.4%
1093
 
4.4%
941
 
3.8%
804
 
3.2%
Other values (460) 13222
53.0%
Latin
ValueCountFrequency (%)
E 25
14.2%
C 17
 
9.7%
R 17
 
9.7%
T 13
 
7.4%
G 13
 
7.4%
I 12
 
6.8%
P 11
 
6.2%
A 9
 
5.1%
K 8
 
4.5%
D 7
 
4.0%
Other values (15) 44
25.0%
Common
ValueCountFrequency (%)
( 2162
42.2%
) 2159
42.2%
749
 
14.6%
5 13
 
0.3%
& 10
 
0.2%
, 9
 
0.2%
1 7
 
0.1%
. 5
 
0.1%
8 3
 
0.1%
3 1
 
< 0.1%
Other values (3) 3
 
0.1%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24954
82.5%
ASCII 5296
 
17.5%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2162
40.8%
) 2159
40.8%
749
 
14.1%
E 25
 
0.5%
C 17
 
0.3%
R 17
 
0.3%
5 13
 
0.2%
T 13
 
0.2%
G 13
 
0.2%
I 12
 
0.2%
Other values (27) 116
 
2.2%
Hangul
ValueCountFrequency (%)
1808
 
7.2%
1379
 
5.5%
1237
 
5.0%
1140
 
4.6%
1115
 
4.5%
1114
 
4.5%
1101
 
4.4%
1093
 
4.4%
941
 
3.8%
804
 
3.2%
Other values (460) 13222
53.0%
CJK
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
1
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
2023-06-01
2538 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-01
2nd row2023-06-01
3rd row2023-06-01
4th row2023-06-01
5th row2023-06-01

Common Values

ValueCountFrequency (%)
2023-06-01 2538
100.0%

Length

2023-12-12T21:14:02.543621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:14:02.662901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-01 2538
100.0%

Interactions

2023-12-12T21:13:59.078444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:14:02.750728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분부서명계약금액
구분1.0000.4290.081
부서명0.4291.0000.198
계약금액0.0810.1981.000
2023-12-12T21:14:02.880375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분부서명
구분1.0000.239
부서명0.2391.000
2023-12-12T21:14:02.987828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약금액구분부서명
계약금액1.0000.0600.094
구분0.0601.0000.239
부서명0.0940.2391.000

Missing values

2023-12-12T21:13:59.257490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:13:59.377677image/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

구분부서명계약명계약금액계약일업체명데이터기준일
0공사도로과검배로 자전거도로 조성사업1803830002022-05-18(주)용운토건2023-06-01
1공사평생학습과검배 문화체육센터 건립사업(신축) 통신공사2598118702022-05-18(주)대웅텔레콤2023-06-01
2공사공원녹지과2022년 경춘북로 가로변 및 갈매지구 가로띠녹지 잡초제거 공사396650002022-05-19(주)경동조경2023-06-01
3공사도로과구리역 앞 인도개설사업299970002022-05-19(주)용운토건2023-06-01
4공사환경과내동2천 수질개선사업(비점오염저감시설 설치) 토목, 기계공사6928980002022-05-19주식회사 도담개발2023-06-01
5공사문화예술과2022년 상반기 아차산보루군 예초공사112424002022-05-19미류조경(주)2023-06-01
6공사환경과내동2천 수질개선사업(비점오염저감시설 설치) 전기공사762520002022-05-20주식회사 영진이엔씨2023-06-01
7공사공원녹지과2022년 상반기 녹지대 잔디 예초 및 관목 전정공사830996002022-05-20(주)경동조경2023-06-01
8공사여성가족과구리시 다함께돌봄센터(4호) 하나로 인테리어 공사480000002022-05-23주식회사 하나건축씨앤에이2023-06-01
9공사문화예술과구리문화원 화장실 보수공사45980002022-05-23도리건설(주)2023-06-01
구분부서명계약명계약금액계약일업체명데이터기준일
2528용역회계과교문1동 행정복지센터 건립공사 지반조사 용역297937002023-05-16주식회사 에스알이앤씨2023-06-01
2529용역문화예술과대한민국 문화도시 조성계획 수립 연구용역503067002023-05-17(주)메이크앤무브2023-06-01
2530용역도로과2023년 하반기 도로구조물 정밀안전점검 용역741520002023-05-19반석안전 주식회사2023-06-01
2531용역도로과2023년 구리시민 자전거보험 가입484656702023-05-19디비손해보험 주식회사2023-06-01
2532용역건축과도시재생예비사업 구리전통시장 공동체 서사 발굴 용역 계약 의뢰150024002023-05-22도시재생활동가 협동조합 틔움2023-06-01
2533용역도시개발과2023년(22년 실적)구리도시공사 사장 경영성과 이행실적 평가 용역 발주 건의94240002023-05-22삼화회계법인2023-06-01
2534용역산업지원과구리시 반려동물 문화센터 장자호수공원 이전설치 기본구상 및 건축기획 용역 계약198720002023-05-22(주)케이아트엔지니어링종합건축사사무소2023-06-01
2535용역회계과2023년 구리시 공유재산 실태조사 및 관리대장 정비 용역 시행95000002023-05-23(주)IT코리아2023-06-01
2536용역자원행정과구리자원회수시설 대보수사업 타당성 조사 및 기본계획 용역 계약200560002023-05-23(주)도화엔지니어링2023-06-01
2537용역회계과구리시청사 상반기 정기안전점검 용역 시행46094002023-05-23(주)한국건축안전센터2023-06-01

Duplicate rows

Most frequently occurring

구분부서명계약명계약금액계약일업체명데이터기준일# duplicates
0물품공원녹지과(조달)노후공원 리모델링 사업(아름공원 외 1개소) 관급자재 구입(탄성포장재)02022-06-28서울지방조달청(한국공원체육산업)2023-06-012
1물품공원녹지과(조달)노후공원 리모델링 사업(주공2-2,삼환,삼호) 관급자재 구입(탄성포장재)02022-06-28서울지방조달청(한국공원체육산업)2023-06-012