Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells382
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory644.5 KiB
Average record size in memory66.0 B

Variable types

Numeric2
Categorical1
Text3
DateTime1

Dataset

Description경기도 고양시_계약정보공개시스템_일반계약현황에 대한 데이터로 구분, 관서명, 계약명, 계약금액, 계약일, 계약상대자의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15063746/fileData.do

Alerts

계약일 has 382 (3.8%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:25:12.707973
Analysis finished2023-12-12 01:25:15.151504
Duration2.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30834.432
Minimum2
Maximum61478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:25:15.264247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3186.45
Q115449.25
median30784
Q346106.5
95-th percentile58387.35
Maximum61478
Range61476
Interquartile range (IQR)30657.25

Descriptive statistics

Standard deviation17718.825
Coefficient of variation (CV)0.57464412
Kurtosis-1.1994747
Mean30834.432
Median Absolute Deviation (MAD)15331
Skewness-0.0068895647
Sum3.0834432 × 108
Variance3.1395676 × 108
MonotonicityNot monotonic
2023-12-12T10:25:15.453618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43611 1
 
< 0.1%
33804 1
 
< 0.1%
56734 1
 
< 0.1%
16207 1
 
< 0.1%
23391 1
 
< 0.1%
11058 1
 
< 0.1%
43463 1
 
< 0.1%
32350 1
 
< 0.1%
37080 1
 
< 0.1%
9773 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
12 1
< 0.1%
25 1
< 0.1%
32 1
< 0.1%
34 1
< 0.1%
45 1
< 0.1%
59 1
< 0.1%
64 1
< 0.1%
75 1
< 0.1%
ValueCountFrequency (%)
61478 1
< 0.1%
61473 1
< 0.1%
61466 1
< 0.1%
61462 1
< 0.1%
61460 1
< 0.1%
61453 1
< 0.1%
61452 1
< 0.1%
61448 1
< 0.1%
61441 1
< 0.1%
61434 1
< 0.1%

구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
물품
4103 
용역
3728 
공사
2169 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물품 4103
41.0%
용역 3728
37.3%
공사 2169
21.7%

Length

2023-12-12T10:25:15.628869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:25:15.744105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 4103
41.0%
용역 3728
37.3%
공사 2169
21.7%

관서명
Text

Distinct62
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T10:25:15.965866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length4.6601
Min length2

Characters and Unicode

Total characters46601
Distinct characters79
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row덕양구 본청
2nd row본청
3rd row푸른도시사업소
4th row일산동구 본청
5th row본청
ValueCountFrequency (%)
본청 6980
52.6%
덕양구 1365
 
10.3%
일산동구 982
 
7.4%
일산서구 915
 
6.9%
도서관센터 692
 
5.2%
푸른도시사업소 621
 
4.7%
도로관리사업소 350
 
2.6%
농업기술센터 293
 
2.2%
일산서구보건소 167
 
1.3%
일산동구보건소 135
 
1.0%
Other values (52) 762
 
5.7%
2023-12-12T10:25:16.363945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
본 6980
15.0%
청 6980
15.0%
구 3687
 
7.9%
3262
 
7.0%
산 2370
 
5.1%
일 2247
 
4.8%
서 1774
 
3.8%
동 1666
 
3.6%
도 1666
 
3.6%
양 1547
 
3.3%
Other values (69) 14422
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42987
92.2%
Space Separator 3262
 
7.0%
Decimal Number 264
 
0.6%
Open Punctuation 44
 
0.1%
Close Punctuation 44
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
본 6980
16.2%
청 6980
16.2%
구 3687
 
8.6%
산 2370
 
5.5%
일 2247
 
5.2%
서 1774
 
4.1%
동 1666
 
3.9%
도 1666
 
3.9%
양 1547
 
3.6%
덕 1498
 
3.5%
Other values (62) 12572
29.2%
Decimal Number
ValueCountFrequency (%)
2 126
47.7%
1 106
40.2%
3 29
 
11.0%
4 3
 
1.1%
Space Separator
ValueCountFrequency (%)
3262
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42987
92.2%
Common 3614
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
본 6980
16.2%
청 6980
16.2%
구 3687
 
8.6%
산 2370
 
5.5%
일 2247
 
5.2%
서 1774
 
4.1%
동 1666
 
3.9%
도 1666
 
3.9%
양 1547
 
3.6%
덕 1498
 
3.5%
Other values (62) 12572
29.2%
Common
ValueCountFrequency (%)
3262
90.3%
2 126
 
3.5%
1 106
 
2.9%
( 44
 
1.2%
) 44
 
1.2%
3 29
 
0.8%
4 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42987
92.2%
ASCII 3614
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
본 6980
16.2%
청 6980
16.2%
구 3687
 
8.6%
산 2370
 
5.5%
일 2247
 
5.2%
서 1774
 
4.1%
동 1666
 
3.9%
도 1666
 
3.9%
양 1547
 
3.6%
덕 1498
 
3.5%
Other values (62) 12572
29.2%
ASCII
ValueCountFrequency (%)
3262
90.3%
2 126
 
3.5%
1 106
 
2.9%
( 44
 
1.2%
) 44
 
1.2%
3 29
 
0.8%
4 3
 
0.1%

계약명
Text

Distinct9753
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T10:25:16.719976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length47
Mean length23.5836
Min length4

Characters and Unicode

Total characters235836
Distinct characters867
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9583 ?
Unique (%)95.8%

Sample

1st row밤나무(능곡3호) 어린이공원 내 놀이시설 수리
2nd row신한류 국제관광도시 고양시 광고동영상 제작을 위한 공연
3rd row내유사거리 쌈지공원 조성사업
4th row가로수 맹아제거 및 교통표지판 등 지장목 전정공사(연간단가)
5th row2022년도 제2부시장 2급 관사 임차계약
ValueCountFrequency (%)
건의 2055
 
4.2%
구입 1928
 
3.9%
및 1063
 
2.2%
용역 988
 
2.0%
시행 640
 
1.3%
계약 601
 
1.2%
관급자재 527
 
1.1%
공사 509
 
1.0%
임차 480
 
1.0%
제작 432
 
0.9%
Other values (11596) 39974
81.3%
2023-12-12T10:25:17.276231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39499
 
16.7%
사 5596
 
2.4%
구 5101
 
2.2%
2 4840
 
2.1%
공 4527
 
1.9%
시 3615
 
1.5%
의 3519
 
1.5%
) 3444
 
1.5%
건 3438
 
1.5%
( 3438
 
1.5%
Other values (857) 158819
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 170653
72.4%
Space Separator 39499
 
16.7%
Decimal Number 14064
 
6.0%
Close Punctuation 4113
 
1.7%
Open Punctuation 4106
 
1.7%
Uppercase Letter 1696
 
0.7%
Other Punctuation 1111
 
0.5%
Dash Punctuation 245
 
0.1%
Lowercase Letter 211
 
0.1%
Math Symbol 102
 
< 0.1%
Other values (6) 36
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 5596
 
3.3%
구 5101
 
3.0%
공 4527
 
2.7%
시 3615
 
2.1%
의 3519
 
2.1%
건 3438
 
2.0%
기 3274
 
1.9%
용 3186
 
1.9%
수 2854
 
1.7%
입 2851
 
1.7%
Other values (763) 132692
77.8%
Uppercase Letter
ValueCountFrequency (%)
C 296
17.5%
T 178
10.5%
V 145
 
8.5%
D 122
 
7.2%
S 106
 
6.2%
P 104
 
6.1%
I 101
 
6.0%
E 98
 
5.8%
L 90
 
5.3%
A 85
 
5.0%
Other values (16) 371
21.9%
Lowercase Letter
ValueCountFrequency (%)
e 45
21.3%
a 23
10.9%
o 18
 
8.5%
l 14
 
6.6%
t 13
 
6.2%
i 13
 
6.2%
d 11
 
5.2%
r 11
 
5.2%
n 10
 
4.7%
c 9
 
4.3%
Other values (11) 44
20.9%
Other Punctuation
ValueCountFrequency (%)
, 688
61.9%
· 99
 
8.9%
* 84
 
7.6%
. 73
 
6.6%
/ 56
 
5.0%
' 50
 
4.5%
: 28
 
2.5%
" 20
 
1.8%
& 4
 
0.4%
# 2
 
0.2%
Other values (4) 7
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 4840
34.4%
0 3063
21.8%
1 2633
18.7%
3 830
 
5.9%
9 541
 
3.8%
7 463
 
3.3%
8 442
 
3.1%
4 435
 
3.1%
6 433
 
3.1%
5 384
 
2.7%
Close Punctuation
ValueCountFrequency (%)
) 3444
83.7%
] 575
 
14.0%
」 73
 
1.8%
』 20
 
0.5%
〕 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3438
83.7%
[ 575
 
14.0%
「 72
 
1.8%
『 20
 
0.5%
〔 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 89
87.3%
< 6
 
5.9%
> 6
 
5.9%
＋ 1
 
1.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
39499
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 245
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 29
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Other Symbol
ValueCountFrequency (%)
♡ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 170648
72.4%
Common 63274
 
26.8%
Latin 1909
 
0.8%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 5596
 
3.3%
구 5101
 
3.0%
공 4527
 
2.7%
시 3615
 
2.1%
의 3519
 
2.1%
건 3438
 
2.0%
기 3274
 
1.9%
용 3186
 
1.9%
수 2854
 
1.7%
입 2851
 
1.7%
Other values (758) 132687
77.8%
Latin
ValueCountFrequency (%)
C 296
15.5%
T 178
 
9.3%
V 145
 
7.6%
D 122
 
6.4%
S 106
 
5.6%
P 104
 
5.4%
I 101
 
5.3%
E 98
 
5.1%
L 90
 
4.7%
A 85
 
4.5%
Other values (39) 584
30.6%
Common
ValueCountFrequency (%)
39499
62.4%
2 4840
 
7.6%
) 3444
 
5.4%
( 3438
 
5.4%
0 3063
 
4.8%
1 2633
 
4.2%
3 830
 
1.3%
, 688
 
1.1%
] 575
 
0.9%
[ 575
 
0.9%
Other values (35) 3689
 
5.8%
Han
ValueCountFrequency (%)
電 1
20.0%
話 1
20.0%
洞 1
20.0%
福 1
20.0%
爲 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 170644
72.4%
ASCII 64889
 
27.5%
None 287
 
0.1%
CJK 5
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Punctuation 4
 
< 0.1%
Number Forms 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39499
60.9%
2 4840
 
7.5%
) 3444
 
5.3%
( 3438
 
5.3%
0 3063
 
4.7%
1 2633
 
4.1%
3 830
 
1.3%
, 688
 
1.1%
] 575
 
0.9%
[ 575
 
0.9%
Other values (70) 5304
 
8.2%
Hangul
ValueCountFrequency (%)
사 5596
 
3.3%
구 5101
 
3.0%
공 4527
 
2.7%
시 3615
 
2.1%
의 3519
 
2.1%
건 3438
 
2.0%
기 3274
 
1.9%
용 3186
 
1.9%
수 2854
 
1.7%
입 2851
 
1.7%
Other values (757) 132683
77.8%
None
ValueCountFrequency (%)
· 99
34.5%
」 73
25.4%
「 72
25.1%
』 20
 
7.0%
『 20
 
7.0%
＋ 1
 
0.3%
〔 1
 
0.3%
〕 1
 
0.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
Punctuation
ValueCountFrequency (%)
′ 2
50.0%
” 1
25.0%
“ 1
25.0%
Misc Symbols
ValueCountFrequency (%)
♡ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%
CJK
ValueCountFrequency (%)
電 1
20.0%
話 1
20.0%
洞 1
20.0%
福 1
20.0%
爲 1
20.0%

계약금액
Real number (ℝ)

Distinct6975
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42865576
Minimum0
Maximum8.076394 × 109
Zeros14
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:25:17.434110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile580260
Q12553600
median7297200
Q319300000
95-th percentile1.3361779 × 108
Maximum8.076394 × 109
Range8.076394 × 109
Interquartile range (IQR)16746400

Descriptive statistics

Standard deviation2.2257294 × 108
Coefficient of variation (CV)5.1923468
Kurtosis359.50112
Mean42865576
Median Absolute Deviation (MAD)5767500
Skewness16.090538
Sum4.2865576 × 1011
Variance4.9538712 × 1016
MonotonicityNot monotonic
2023-12-12T10:25:17.867401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2160000 59
 
0.6%
1980000 33
 
0.3%
4320000 31
 
0.3%
2400000 30
 
0.3%
2000000 28
 
0.3%
1500000 28
 
0.3%
3000000 27
 
0.3%
19000000 26
 
0.3%
2500000 24
 
0.2%
1200000 22
 
0.2%
Other values (6965) 9692
96.9%
ValueCountFrequency (%)
0 14
0.1%
150 1
 
< 0.1%
17600 1
 
< 0.1%
18000 1
 
< 0.1%
21080 1
 
< 0.1%
25000 1
 
< 0.1%
27000 1
 
< 0.1%
28000 1
 
< 0.1%
30000 1
 
< 0.1%
33000 1
 
< 0.1%
ValueCountFrequency (%)
8076394000 1
< 0.1%
5132427990 1
< 0.1%
4874955350 1
< 0.1%
4766044990 1
< 0.1%
4665618520 1
< 0.1%
4589198860 1
< 0.1%
4327174450 1
< 0.1%
4075992620 1
< 0.1%
4073614000 1
< 0.1%
3808916330 1
< 0.1%

계약일
Date

MISSING 

Distinct2146
Distinct (%)22.3%
Missing382
Missing (%)3.8%
Memory size156.2 KiB
Minimum2012-02-01 00:00:00
Maximum2023-01-16 00:00:00
2023-12-12T10:25:18.019356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:25:18.153575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약상대자
Text

Distinct3740
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T10:25:18.384182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length7.4534
Min length2

Characters and Unicode

Total characters74534
Distinct characters679
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2453 ?
Unique (%)24.5%

Sample

1st row(주)플레이잼
2nd row티에스아트컴퍼니
3rd row(주)우광건설
4th row성진조경(주)
5th row주식회사 바디프랜드
ValueCountFrequency (%)
주식회사 1244
 
10.6%
서울지방조달청 695
 
5.9%
한울정보-넷 114
 
1.0%
대기oa 101
 
0.9%
주)에스원 84
 
0.7%
한울정보넷 81
 
0.7%
보성환경(주 65
 
0.6%
주)신성엔지니어링 64
 
0.5%
주)청명산업 57
 
0.5%
청호나이스(주 56
 
0.5%
Other values (3814) 9177
78.2%
2023-12-12T10:25:18.758640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 5758
 
7.7%
) 4323
 
5.8%
( 4314
 
5.8%
사 2347
 
3.1%
이 1961
 
2.6%
1739
 
2.3%
회 1649
 
2.2%
지 1647
 
2.2%
스 1565
 
2.1%
식 1515
 
2.0%
Other values (669) 47716
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63054
84.6%
Close Punctuation 4323
 
5.8%
Open Punctuation 4314
 
5.8%
Space Separator 1739
 
2.3%
Uppercase Letter 765
 
1.0%
Dash Punctuation 147
 
0.2%
Other Punctuation 70
 
0.1%
Lowercase Letter 64
 
0.1%
Decimal Number 48
 
0.1%
Other Symbol 8
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5758
 
9.1%
사 2347
 
3.7%
이 1961
 
3.1%
회 1649
 
2.6%
지 1647
 
2.6%
스 1565
 
2.5%
식 1515
 
2.4%
조 1210
 
1.9%
울 1008
 
1.6%
서 1004
 
1.6%
Other values (610) 43390
68.8%
Uppercase Letter
ValueCountFrequency (%)
A 171
22.4%
O 151
19.7%
E 54
 
7.1%
S 52
 
6.8%
T 49
 
6.4%
N 45
 
5.9%
K 39
 
5.1%
G 37
 
4.8%
M 28
 
3.7%
D 28
 
3.7%
Other values (13) 111
14.5%
Lowercase Letter
ValueCountFrequency (%)
e 8
12.5%
s 7
10.9%
r 6
9.4%
o 6
9.4%
i 5
 
7.8%
a 4
 
6.2%
w 4
 
6.2%
t 4
 
6.2%
c 3
 
4.7%
m 3
 
4.7%
Other values (9) 14
21.9%
Decimal Number
ValueCountFrequency (%)
1 15
31.2%
2 10
20.8%
3 8
16.7%
5 7
14.6%
6 6
 
12.5%
0 1
 
2.1%
4 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 54
77.1%
& 15
 
21.4%
/ 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 4323
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4314
100.0%
Space Separator
ValueCountFrequency (%)
1739
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63062
84.6%
Common 10643
 
14.3%
Latin 829
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5758
 
9.1%
사 2347
 
3.7%
이 1961
 
3.1%
회 1649
 
2.6%
지 1647
 
2.6%
스 1565
 
2.5%
식 1515
 
2.4%
조 1210
 
1.9%
울 1008
 
1.6%
서 1004
 
1.6%
Other values (611) 43398
68.8%
Latin
ValueCountFrequency (%)
A 171
20.6%
O 151
18.2%
E 54
 
6.5%
S 52
 
6.3%
T 49
 
5.9%
N 45
 
5.4%
K 39
 
4.7%
G 37
 
4.5%
M 28
 
3.4%
D 28
 
3.4%
Other values (32) 175
21.1%
Common
ValueCountFrequency (%)
) 4323
40.6%
( 4314
40.5%
1739
16.3%
- 147
 
1.4%
. 54
 
0.5%
1 15
 
0.1%
& 15
 
0.1%
2 10
 
0.1%
3 8
 
0.1%
5 7
 
0.1%
Other values (6) 11
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63054
84.6%
ASCII 11472
 
15.4%
None 8
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 5758
 
9.1%
사 2347
 
3.7%
이 1961
 
3.1%
회 1649
 
2.6%
지 1647
 
2.6%
스 1565
 
2.5%
식 1515
 
2.4%
조 1210
 
1.9%
울 1008
 
1.6%
서 1004
 
1.6%
Other values (610) 43390
68.8%
ASCII
ValueCountFrequency (%)
) 4323
37.7%
( 4314
37.6%
1739
15.2%
A 171
 
1.5%
O 151
 
1.3%
- 147
 
1.3%
. 54
 
0.5%
E 54
 
0.5%
S 52
 
0.5%
T 49
 
0.4%
Other values (48) 418
 
3.6%
None
ValueCountFrequency (%)
㈜ 8
100.0%

Interactions

2023-12-12T10:25:14.557008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:25:14.255033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:25:14.686333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:25:14.390969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:25:18.859675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분관서명계약금액
번호1.0000.1410.3140.045
구분0.1411.0000.3500.063
관서명0.3140.3501.0000.000
계약금액0.0450.0630.0001.000
2023-12-12T10:25:18.969027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액구분
번호1.0000.0800.084
계약금액0.0801.0000.040
구분0.0840.0401.000

Missing values

2023-12-12T10:25:14.904319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:25:15.073652image/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

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560815399용역본청신한류 국제관광도시 고양시 광고동영상 제작을 위한 공연5400002013-12-11티에스아트컴퍼니
3878322697공사푸른도시사업소내유사거리 쌈지공원 조성사업95826802016-11-29(주)우광건설
4668214798공사일산동구 본청가로수 맹아제거 및 교통표지판 등 지장목 전정공사(연간단가)181316802015-06-23성진조경(주)
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1110150379공사본청원신동, 킨텍스 현장민원실 통신공사 시행 건의36760002021-12-08(주)에스오정보통신
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번호구분관서명계약명계약금액계약일계약상대자
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182859652용역덕양구 본청2023년 덕양구 창릉천 수계 하천 청소관리용역372157380<NA>(주)푸른산업
3670324777물품본청동종합복지회관 물품구입 건267258002017-03-02(주)개선스포츠
546456835물품대화동보도용 제설기 구입 건의38500002014-02-07(주)삼정그린
4463616844물품본청풍동 애니골 일원 지주통합간판 제작 건의352598002015-12-07(주)두-테크
3440527075공사덕양구보건소고양시민건강센터 행신 바닥타일 시공37000002017-06-20주식회사 스페이스앤나우
2111040370공사농업기술센터동물보호센터 시설개선을 위한 방수공사(계약)61325002019-03-11중앙설비방수공사
1861462물품도서관센터[독서대전] '책길따라' 지도 제작(수정)10978270<NA>스튜디오나비
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