Overview

Dataset statistics

Number of variables10
Number of observations9617
Missing cells32
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory807.8 KiB
Average record size in memory86.0 B

Variable types

Numeric5
Categorical2
Text2
DateTime1

Dataset

Description보령시에서 물품대금 지급 정보(관서명, 계약명, 선금, 기성금, 노무비, 준공금, 지급총액, 계약일, 계약상대자)에 관한 현황입니다.
Author충청남도 보령시
URLhttps://www.data.go.kr/data/15090104/fileData.do

Alerts

노무비 has constant value ""Constant
준공금 is highly overall correlated with 지급총액High correlation
지급총액 is highly overall correlated with 준공금High correlation
관서명 is highly imbalanced (52.9%)Imbalance
선금 is highly skewed (γ1 = 31.73716651)Skewed
기성금 is highly skewed (γ1 = 30.63977695)Skewed
번호 has unique valuesUnique
선금 has 9319 (96.9%) zerosZeros
기성금 has 9394 (97.7%) zerosZeros
준공금 has 97 (1.0%) zerosZeros

Reproduction

Analysis started2024-03-14 10:31:25.939798
Analysis finished2024-03-14 10:31:33.299750
Duration7.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct9617
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4809
Minimum1
Maximum9617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size84.6 KiB
2024-03-14T19:31:33.435857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile481.8
Q12405
median4809
Q37213
95-th percentile9136.2
Maximum9617
Range9616
Interquartile range (IQR)4808

Descriptive statistics

Standard deviation2776.3331
Coefficient of variation (CV)0.57732025
Kurtosis-1.2
Mean4809
Median Absolute Deviation (MAD)2404
Skewness0
Sum46248153
Variance7708025.5
MonotonicityStrictly increasing
2024-03-14T19:31:33.689990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
6407 1
 
< 0.1%
6409 1
 
< 0.1%
6410 1
 
< 0.1%
6411 1
 
< 0.1%
6412 1
 
< 0.1%
6413 1
 
< 0.1%
6414 1
 
< 0.1%
6415 1
 
< 0.1%
6416 1
 
< 0.1%
Other values (9607) 9607
99.9%
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 (%)
9617 1
< 0.1%
9616 1
< 0.1%
9615 1
< 0.1%
9614 1
< 0.1%
9613 1
< 0.1%
9612 1
< 0.1%
9611 1
< 0.1%
9610 1
< 0.1%
9609 1
< 0.1%
9608 1
< 0.1%

관서명
Categorical

IMBALANCE 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.3 KiB
본청
5949 
보건소
1390 
농업기술센터
881 
남포면
 
174
천북면
 
161
Other values (18)
1062 

Length

Max length9
Median length2
Mean length2.7772694
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본청 5949
61.9%
보건소 1390
 
14.5%
농업기술센터 881
 
9.2%
남포면 174
 
1.8%
천북면 161
 
1.7%
대천3동 153
 
1.6%
문화체육관리사업소 108
 
1.1%
오천면 89
 
0.9%
대천2동 89
 
0.9%
성주면 87
 
0.9%
Other values (13) 536
 
5.6%

Length

2024-03-14T19:31:34.002504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 5949
61.9%
보건소 1390
 
14.5%
농업기술센터 881
 
9.2%
남포면 174
 
1.8%
천북면 161
 
1.7%
대천3동 153
 
1.6%
문화체육관리사업소 108
 
1.1%
오천면 89
 
0.9%
대천2동 89
 
0.9%
성주면 87
 
0.9%
Other values (13) 536
 
5.6%

계약명
Text

Distinct8753
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size75.3 KiB
2024-03-14T19:31:34.867592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length20.870542
Min length3

Characters and Unicode

Total characters200712
Distinct characters891
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8224 ?
Unique (%)85.5%

Sample

1st row2014년 방과후공부방 아동 석식 식자재 구입
2nd row2014년 재가복지 밑반찬 재료비
3rd row세외수입콜센터운영위한 컴퓨터 구입
4th row장고도 위생매립장 음식물 쓰레기 처리기 구입
5th row종량제 규격봉투(일반-100ℓ) 제작
ValueCountFrequency (%)
구입 3895
 
9.9%
및 727
 
1.8%
제작 595
 
1.5%
관급자재 521
 
1.3%
설치 473
 
1.2%
등 306
 
0.8%
물품 224
 
0.6%
운영 199
 
0.5%
백신 186
 
0.5%
가축방역사업용 168
 
0.4%
Other values (10316) 32181
81.5%
2024-03-14T19:31:36.062605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29859
 
14.9%
구 7326
 
3.7%
입 6211
 
3.1%
( 4295
 
2.1%
) 4290
 
2.1%
사 3320
 
1.7%
관 3308
 
1.6%
자 2923
 
1.5%
기 2642
 
1.3%
공 2393
 
1.2%
Other values (881) 134145
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150458
75.0%
Space Separator 29859
 
14.9%
Decimal Number 6501
 
3.2%
Open Punctuation 4706
 
2.3%
Close Punctuation 4696
 
2.3%
Uppercase Letter 2319
 
1.2%
Other Punctuation 823
 
0.4%
Dash Punctuation 642
 
0.3%
Lowercase Letter 336
 
0.2%
Connector Punctuation 320
 
0.2%
Other values (4) 52
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7326
 
4.9%
입 6211
 
4.1%
사 3320
 
2.2%
관 3308
 
2.2%
자 2923
 
1.9%
기 2642
 
1.8%
공 2393
 
1.6%
재 2378
 
1.6%
보 2317
 
1.5%
제 2221
 
1.5%
Other values (794) 115419
76.7%
Lowercase Letter
ValueCountFrequency (%)
ℓ 65
19.3%
e 52
15.5%
d 24
 
7.1%
l 23
 
6.8%
o 17
 
5.1%
c 17
 
5.1%
a 15
 
4.5%
i 14
 
4.2%
v 14
 
4.2%
p 13
 
3.9%
Other values (15) 82
24.4%
Uppercase Letter
ValueCountFrequency (%)
C 303
13.1%
D 280
12.1%
T 206
 
8.9%
V 201
 
8.7%
E 179
 
7.7%
P 132
 
5.7%
B 125
 
5.4%
I 124
 
5.3%
M 112
 
4.8%
N 99
 
4.3%
Other values (14) 558
24.1%
Decimal Number
ValueCountFrequency (%)
2 2188
33.7%
0 1228
18.9%
1 1218
18.7%
3 579
 
8.9%
4 288
 
4.4%
5 257
 
4.0%
9 214
 
3.3%
6 201
 
3.1%
7 174
 
2.7%
8 154
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 631
76.7%
. 79
 
9.6%
· 61
 
7.4%
/ 23
 
2.8%
" 19
 
2.3%
* 6
 
0.7%
% 2
 
0.2%
; 1
 
0.1%
: 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 4295
91.3%
[ 385
 
8.2%
『 16
 
0.3%
「 7
 
0.1%
【 3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4290
91.4%
] 380
 
8.1%
』 16
 
0.3%
」 7
 
0.1%
】 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 29
59.2%
+ 19
38.8%
∼ 1
 
2.0%
Space Separator
ValueCountFrequency (%)
29859
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 642
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 320
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎥ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150455
75.0%
Common 47663
 
23.7%
Latin 2591
 
1.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7326
 
4.9%
입 6211
 
4.1%
사 3320
 
2.2%
관 3308
 
2.2%
자 2923
 
1.9%
기 2642
 
1.8%
공 2393
 
1.6%
재 2378
 
1.6%
보 2317
 
1.5%
제 2221
 
1.5%
Other values (793) 115416
76.7%
Latin
ValueCountFrequency (%)
C 303
 
11.7%
D 280
 
10.8%
T 206
 
8.0%
V 201
 
7.8%
E 179
 
6.9%
P 132
 
5.1%
B 125
 
4.8%
I 124
 
4.8%
M 112
 
4.3%
N 99
 
3.8%
Other values (39) 830
32.0%
Common
ValueCountFrequency (%)
29859
62.6%
( 4295
 
9.0%
) 4290
 
9.0%
2 2188
 
4.6%
0 1228
 
2.6%
1 1218
 
2.6%
- 642
 
1.3%
, 631
 
1.3%
3 579
 
1.2%
[ 385
 
0.8%
Other values (28) 2348
 
4.9%
Han
ValueCountFrequency (%)
愛 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150455
75.0%
ASCII 50072
 
24.9%
None 113
 
0.1%
Letterlike Symbols 65
 
< 0.1%
CJK 3
 
< 0.1%
Math Operators 1
 
< 0.1%
Number Forms 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29859
59.6%
( 4295
 
8.6%
) 4290
 
8.6%
2 2188
 
4.4%
0 1228
 
2.5%
1 1218
 
2.4%
- 642
 
1.3%
, 631
 
1.3%
3 579
 
1.2%
[ 385
 
0.8%
Other values (65) 4757
 
9.5%
Hangul
ValueCountFrequency (%)
구 7326
 
4.9%
입 6211
 
4.1%
사 3320
 
2.2%
관 3308
 
2.2%
자 2923
 
1.9%
기 2642
 
1.8%
공 2393
 
1.6%
재 2378
 
1.6%
보 2317
 
1.5%
제 2221
 
1.5%
Other values (793) 115416
76.7%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 65
100.0%
None
ValueCountFrequency (%)
· 61
54.0%
『 16
 
14.2%
』 16
 
14.2%
「 7
 
6.2%
」 7
 
6.2%
【 3
 
2.7%
】 3
 
2.7%
CJK
ValueCountFrequency (%)
愛 3
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎥ 1
100.0%

선금
Real number (ℝ)

SKEWED  ZEROS 

Distinct280
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2337225.2
Minimum0
Maximum1.7136 × 109
Zeros9319
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size84.6 KiB
2024-03-14T19:31:36.324024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.7136 × 109
Range1.7136 × 109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31294476
Coefficient of variation (CV)13.389586
Kurtosis1352.4214
Mean2337225.2
Median Absolute Deviation (MAD)0
Skewness31.737167
Sum2.2477094 × 1010
Variance9.7934426 × 1014
MonotonicityNot monotonic
2024-03-14T19:31:36.654546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9319
96.9%
100000000 6
 
0.1%
22000000 5
 
0.1%
33000000 3
 
< 0.1%
150000000 2
 
< 0.1%
40700000 2
 
< 0.1%
9240000 2
 
< 0.1%
14400000 2
 
< 0.1%
44000000 2
 
< 0.1%
16940000 2
 
< 0.1%
Other values (270) 272
 
2.8%
ValueCountFrequency (%)
0 9319
96.9%
357000 1
 
< 0.1%
437580 1
 
< 0.1%
455000 1
 
< 0.1%
565950 1
 
< 0.1%
646800 1
 
< 0.1%
669900 1
 
< 0.1%
677600 1
 
< 0.1%
815290 1
 
< 0.1%
861280 1
 
< 0.1%
ValueCountFrequency (%)
1713600000 1
< 0.1%
1196300000 1
< 0.1%
1000000000 1
< 0.1%
783300000 1
< 0.1%
671300000 1
< 0.1%
547736000 1
< 0.1%
424800000 1
< 0.1%
420000000 1
< 0.1%
409500000 1
< 0.1%
403903000 1
< 0.1%

기성금
Real number (ℝ)

SKEWED  ZEROS 

Distinct223
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1431351.9
Minimum0
Maximum1.1335950 × 109
Zeros9394
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size84.6 KiB
2024-03-14T19:31:36.918193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.1335950 × 109
Range1.1335950 × 109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22120664
Coefficient of variation (CV)15.454385
Kurtosis1161.0702
Mean1431351.9
Median Absolute Deviation (MAD)0
Skewness30.639777
Sum1.3765312 × 1010
Variance4.8932376 × 1014
MonotonicityNot monotonic
2024-03-14T19:31:37.169714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9394
97.7%
5192000 2
 
< 0.1%
22912140 1
 
< 0.1%
23056000 1
 
< 0.1%
46862980 1
 
< 0.1%
561529530 1
 
< 0.1%
123903300 1
 
< 0.1%
170796140 1
 
< 0.1%
5816000 1
 
< 0.1%
4765590 1
 
< 0.1%
Other values (213) 213
 
2.2%
ValueCountFrequency (%)
0 9394
97.7%
73740 1
 
< 0.1%
173500 1
 
< 0.1%
462000 1
 
< 0.1%
607500 1
 
< 0.1%
824000 1
 
< 0.1%
829000 1
 
< 0.1%
1144070 1
 
< 0.1%
1189260 1
 
< 0.1%
1248920 1
 
< 0.1%
ValueCountFrequency (%)
1133595050 1
< 0.1%
707066000 1
< 0.1%
690725370 1
< 0.1%
641094520 1
< 0.1%
627872000 1
< 0.1%
561529530 1
< 0.1%
471887970 1
< 0.1%
451334000 1
< 0.1%
431050000 1
< 0.1%
256565670 1
< 0.1%

노무비
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.3 KiB
0
9617 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9617
100.0%

Length

2024-03-14T19:31:37.392784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:31:37.595243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9617
100.0%

준공금
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct5979
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14198436
Minimum0
Maximum1.3088258 × 109
Zeros97
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size84.6 KiB
2024-03-14T19:31:38.022648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile550000
Q12756700
median6150000
Q314000000
95-th percentile50014208
Maximum1.3088258 × 109
Range1.3088258 × 109
Interquartile range (IQR)11243300

Descriptive statistics

Standard deviation33594902
Coefficient of variation (CV)2.3660988
Kurtosis366.82306
Mean14198436
Median Absolute Deviation (MAD)4150000
Skewness13.91461
Sum1.3654636 × 1011
Variance1.1286175 × 1015
MonotonicityNot monotonic
2024-03-14T19:31:38.284134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 97
 
1.0%
3000000 53
 
0.6%
19800000 47
 
0.5%
3200000 45
 
0.5%
18000000 42
 
0.4%
6000000 35
 
0.4%
2200000 33
 
0.3%
5000000 33
 
0.3%
9000000 31
 
0.3%
4800000 30
 
0.3%
Other values (5969) 9171
95.4%
ValueCountFrequency (%)
0 97
1.0%
29880 1
 
< 0.1%
36370 1
 
< 0.1%
47970 1
 
< 0.1%
50000 1
 
< 0.1%
55000 3
 
< 0.1%
58000 1
 
< 0.1%
67600 1
 
< 0.1%
74000 1
 
< 0.1%
74040 1
 
< 0.1%
ValueCountFrequency (%)
1308825840 1
< 0.1%
922623000 1
< 0.1%
875451000 1
< 0.1%
560000000 1
< 0.1%
548776400 1
< 0.1%
469480000 1
< 0.1%
418446000 1
< 0.1%
409500000 1
< 0.1%
399840000 1
< 0.1%
386000000 1
< 0.1%

지급총액
Real number (ℝ)

HIGH CORRELATION 

Distinct6044
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17967013
Minimum29880
Maximum2.1158918 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size84.6 KiB
2024-03-14T19:31:38.543451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29880
5-th percentile710000
Q12910000
median6556330
Q315246000
95-th percentile64586996
Maximum2.1158918 × 109
Range2.115862 × 109
Interquartile range (IQR)12336000

Descriptive statistics

Standard deviation57807730
Coefficient of variation (CV)3.2174369
Kurtosis454.07686
Mean17967013
Median Absolute Deviation (MAD)4401790
Skewness17.153555
Sum1.7278876 × 1011
Variance3.3417336 × 1015
MonotonicityNot monotonic
2024-03-14T19:31:38.866486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000000 53
 
0.6%
19800000 49
 
0.5%
3200000 45
 
0.5%
18000000 45
 
0.5%
6000000 36
 
0.4%
5000000 34
 
0.4%
2200000 33
 
0.3%
9000000 32
 
0.3%
4800000 30
 
0.3%
2000000 29
 
0.3%
Other values (6034) 9231
96.0%
ValueCountFrequency (%)
29880 1
 
< 0.1%
36370 1
 
< 0.1%
47970 1
 
< 0.1%
50000 1
 
< 0.1%
55000 3
< 0.1%
58000 1
 
< 0.1%
67600 1
 
< 0.1%
74000 1
 
< 0.1%
77000 1
 
< 0.1%
80000 2
< 0.1%
ValueCountFrequency (%)
2115891840 1
< 0.1%
1922623000 1
< 0.1%
1713600000 1
< 0.1%
1196300000 1
< 0.1%
1133595050 1
< 0.1%
923571350 1
< 0.1%
875451000 1
< 0.1%
819000000 1
< 0.1%
783300000 1
< 0.1%
760000000 1
< 0.1%

계약일
Date

Distinct2389
Distinct (%)24.8%
Missing0
Missing (%)0.0%
Memory size75.3 KiB
Minimum2014-01-01 00:00:00
Maximum2024-01-23 00:00:00
2024-03-14T19:31:39.263521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:39.699739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약상대자
Text

Distinct1850
Distinct (%)19.3%
Missing32
Missing (%)0.3%
Memory size75.3 KiB
2024-03-14T19:31:40.961415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length6.7680751
Min length2

Characters and Unicode

Total characters64872
Distinct characters580
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

Unique1070 ?
Unique (%)11.2%

Sample

1st row대천농업협동조합
2nd row대천농업협동조합
3rd row조달청
4th row조달청
5th row조달청
ValueCountFrequency (%)
대전지방조달청 2498
 
23.8%
주식회사 477
 
4.6%
주)거산 168
 
1.6%
주)플러스메디칼 128
 
1.2%
안진팜 123
 
1.2%
자)제중약품 98
 
0.9%
동일사 94
 
0.9%
리바트 92
 
0.9%
정인문고 90
 
0.9%
주)광명프라자 88
 
0.8%
Other values (1894) 6618
63.2%
2024-03-14T19:31:42.400187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 3214
 
5.0%
지 3013
 
4.6%
전 2953
 
4.6%
조 2830
 
4.4%
청 2821
 
4.3%
달 2663
 
4.1%
방 2654
 
4.1%
주 2650
 
4.1%
( 2154
 
3.3%
) 2152
 
3.3%
Other values (570) 37768
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59248
91.3%
Open Punctuation 2154
 
3.3%
Close Punctuation 2152
 
3.3%
Space Separator 889
 
1.4%
Uppercase Letter 336
 
0.5%
Other Punctuation 59
 
0.1%
Lowercase Letter 15
 
< 0.1%
Decimal Number 12
 
< 0.1%
Other Symbol 6
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 3214
 
5.4%
지 3013
 
5.1%
전 2953
 
5.0%
조 2830
 
4.8%
청 2821
 
4.8%
달 2663
 
4.5%
방 2654
 
4.5%
주 2650
 
4.5%
사 1517
 
2.6%
이 907
 
1.5%
Other values (531) 34026
57.4%
Uppercase Letter
ValueCountFrequency (%)
S 42
12.5%
N 41
12.2%
B 30
8.9%
E 29
8.6%
H 29
8.6%
C 26
7.7%
G 23
 
6.8%
W 21
 
6.2%
A 19
 
5.7%
K 17
 
5.1%
Other values (11) 59
17.6%
Lowercase Letter
ValueCountFrequency (%)
w 4
26.7%
s 4
26.7%
d 2
13.3%
n 2
13.3%
a 2
13.3%
h 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 39
66.1%
, 15
 
25.4%
/ 4
 
6.8%
& 1
 
1.7%
Decimal Number
ValueCountFrequency (%)
2 10
83.3%
4 1
 
8.3%
5 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 2154
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2152
100.0%
Space Separator
ValueCountFrequency (%)
889
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59254
91.3%
Common 5267
 
8.1%
Latin 351
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 3214
 
5.4%
지 3013
 
5.1%
전 2953
 
5.0%
조 2830
 
4.8%
청 2821
 
4.8%
달 2663
 
4.5%
방 2654
 
4.5%
주 2650
 
4.5%
사 1517
 
2.6%
이 907
 
1.5%
Other values (532) 34032
57.4%
Latin
ValueCountFrequency (%)
S 42
12.0%
N 41
11.7%
B 30
8.5%
E 29
 
8.3%
H 29
 
8.3%
C 26
 
7.4%
G 23
 
6.6%
W 21
 
6.0%
A 19
 
5.4%
K 17
 
4.8%
Other values (17) 74
21.1%
Common
ValueCountFrequency (%)
( 2154
40.9%
) 2152
40.9%
889
16.9%
. 39
 
0.7%
, 15
 
0.3%
2 10
 
0.2%
/ 4
 
0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
- 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59248
91.3%
ASCII 5618
 
8.7%
None 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 3214
 
5.4%
지 3013
 
5.1%
전 2953
 
5.0%
조 2830
 
4.8%
청 2821
 
4.8%
달 2663
 
4.5%
방 2654
 
4.5%
주 2650
 
4.5%
사 1517
 
2.6%
이 907
 
1.5%
Other values (531) 34026
57.4%
ASCII
ValueCountFrequency (%)
( 2154
38.3%
) 2152
38.3%
889
15.8%
S 42
 
0.7%
N 41
 
0.7%
. 39
 
0.7%
B 30
 
0.5%
E 29
 
0.5%
H 29
 
0.5%
C 26
 
0.5%
Other values (28) 187
 
3.3%
None
ValueCountFrequency (%)
㈜ 6
100.0%

Interactions

2024-03-14T19:31:31.962067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:28.298516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:29.257870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:30.135610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:31.042038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:32.118809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:28.534466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:29.444358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:30.292910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:31.203220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:32.289037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:28.707150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:29.623315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:30.558924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:31.383867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:32.450100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:28.870165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:29.795011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:30.718219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:31.587375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:32.617456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:29.038554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:29.970831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:30.886907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:31:31.803613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:31:42.670333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관서명선금기성금준공금지급총액
번호1.0000.4280.0140.0140.0200.032
관서명0.4281.0000.0000.0000.0000.000
선금0.0140.0001.0000.3240.8090.939
기성금0.0140.0000.3241.0000.6620.858
준공금0.0200.0000.8090.6621.0000.905
지급총액0.0320.0000.9390.8580.9051.000
2024-03-14T19:31:42.954195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호선금기성금준공금지급총액관서명
번호1.0000.047-0.0580.1020.1060.172
선금0.0471.0000.022-0.0260.1670.000
기성금-0.0580.0221.0000.0070.1800.000
준공금0.102-0.0260.0071.0000.9340.000
지급총액0.1060.1670.1800.9341.0000.000
관서명0.1720.0000.0000.0000.0001.000

Missing values

2024-03-14T19:31:32.928386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:31:33.188643image/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

번호관서명계약명선금기성금노무비준공금지급총액계약일계약상대자
01본청2014년 방과후공부방 아동 석식 식자재 구입022912140014527860374400002014-01-01대천농업협동조합
12본청2014년 재가복지 밑반찬 재료비0859016007089020156791802014-01-01대천농업협동조합
23본청세외수입콜센터운영위한 컴퓨터 구입000270000027000002014-01-03조달청
34본청장고도 위생매립장 음식물 쓰레기 처리기 구입00013900000139000002014-01-03조달청
45본청종량제 규격봉투(일반-100ℓ) 제작000745200074520002014-01-03조달청
56주포면컬라복사기 및 프린터기 구입000682000068200002014-01-06대전지방조달청
67대천3동이동식 서가 구입000438400043840002014-01-06대전지방조달청
78대천3동회의실 강연대 및 사회대 구입0008947008947002014-01-06대전지방조달청
89대천3동TV구입000217000021700002014-01-06대전지방조달청
910본청종량제 규격봉투(음식물-20,재사용20)제작00011688000116880002014-01-06조달청
번호관서명계약명선금기성금노무비준공금지급총액계약일계약상대자
96079608본청문예회관 바닥장판 포맥스구매000760000076000002024-01-04동일사무용가구
96089609남포면주민자치프로그램 스크린파크골프장 제습기 구입0008746908746902024-01-09대전지방조달청
96099610본청녹도항 소형어선인양기 수리00011741400117414002024-01-10씨엠알기계
96109611본청2024년도 주요업무보고 인쇄00013628700136287002024-01-11도서출판 종합인쇄
96119612보건소대상포진 및 자궁경부암 예방접종 홍보 현수막 제작000225000022500002024-01-12대한광고
96129613본청터미널 공중화장실용 화장지 구입000295000029500002024-01-15켐텍코리아
96139614본청1월 보령시립도서관 희망도서구입(2023-12월접수분)000217939021793902024-01-16정인문고 서점
96149615보건소임산부 건강관리실 운영 물품 구입000436000043600002024-01-18주식회사 이론친구들
96159616본청의회청사 군소음보상 검토실 벽걸이 에어컨 구입000121505012150502024-01-19삼보이엔지(주)
96169617본청오천면 소규모체육관 안내판 구입 e호조 품의 등록0004180004180002024-01-23머드안전광고