Overview

Dataset statistics

Number of variables24
Number of observations10000
Missing cells10279
Missing cells (%)4.3%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory2.0 MiB
Average record size in memory214.0 B

Variable types

Numeric8
Categorical8
Text3
DateTime4
Boolean1

Dataset

Description2019년 12월 기준 괴산군 계약대장 (계약명, 위치명, 계약일자, 착공일자, 준공일자, 등) 데이터파일입니다. 자세한 사항은 괴산군으로 문의주시기 바랍니다.
Author충청북도 괴산군
URLhttps://www.data.go.kr/data/15049985/fileData.do

Alerts

데이터기준일 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
경비구분 is highly imbalanced (99.5%)Imbalance
신규장기구분 is highly imbalanced (93.7%)Imbalance
개산여부 is highly imbalanced (99.9%)Imbalance
채무부담액 is highly imbalanced (92.2%)Imbalance
조달수수료 has 655 (6.6%) missing valuesMissing
착공일자 has 1317 (13.2%) missing valuesMissing
절대공기 has 1316 (13.2%) missing valuesMissing
지체상금율 has 2414 (24.1%) missing valuesMissing
계약사유 has 4484 (44.8%) missing valuesMissing
공동체계약구분 is highly skewed (γ1 = 30.93630158)Skewed
조달수수료 is highly skewed (γ1 = 79.79834915)Skewed
최초총괄계약금액 is highly skewed (γ1 = 24.08016541)Skewed
총괄계약합계금액 is highly skewed (γ1 = 22.51377021)Skewed
지체상금율 is highly skewed (γ1 = 74.21369685)Skewed
계약방법상세 has 834 (8.3%) zerosZeros
조달수수료 has 8947 (89.5%) zerosZeros

Reproduction

Analysis started2023-12-12 07:00:33.372163
Analysis finished2023-12-12 07:00:34.593006
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.7569
Minimum2008
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:00:34.666764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2008
5-th percentile2008
Q12011
median2014
Q32017
95-th percentile2019
Maximum2019
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4832766
Coefficient of variation (CV)0.0017297404
Kurtosis-1.2603248
Mean2013.7569
Median Absolute Deviation (MAD)3
Skewness-0.052185306
Sum20137569
Variance12.133216
MonotonicityNot monotonic
2023-12-12T16:00:34.806255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2018 1002
10.0%
2019 976
9.8%
2017 952
9.5%
2010 927
9.3%
2011 921
9.2%
2014 850
8.5%
2013 772
7.7%
2015 767
7.7%
2012 742
7.4%
2008 716
7.2%
Other values (2) 1375
13.8%
ValueCountFrequency (%)
2008 716
7.2%
2009 667
6.7%
2010 927
9.3%
2011 921
9.2%
2012 742
7.4%
2013 772
7.7%
2014 850
8.5%
2015 767
7.7%
2016 708
7.1%
2017 952
9.5%
ValueCountFrequency (%)
2019 976
9.8%
2018 1002
10.0%
2017 952
9.5%
2016 708
7.1%
2015 767
7.7%
2014 850
8.5%
2013 772
7.7%
2012 742
7.4%
2011 921
9.2%
2010 927
9.3%

경비구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
10
9994 
20
 
4
40
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 9994
99.9%
20 4
 
< 0.1%
40 2
 
< 0.1%

Length

2023-12-12T16:00:34.949471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:35.144722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 9994
99.9%
20 4
 
< 0.1%
40 2
 
< 0.1%

조달구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
6045 
1
3673 
3
 
282

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 6045
60.5%
1 3673
36.7%
3 282
 
2.8%

Length

2023-12-12T16:00:35.247158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:35.346545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6045
60.5%
1 3673
36.7%
3 282
 
2.8%

계약종류
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
6600 
2
2062 
3
1338 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 6600
66.0%
2 2062
 
20.6%
3 1338
 
13.4%

Length

2023-12-12T16:00:35.468318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:35.589052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6600
66.0%
2 2062
 
20.6%
3 1338
 
13.4%

계약방법
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
4
6551 
9
1991 
1
834 
2
 
595
3
 
29

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row9
5th row4

Common Values

ValueCountFrequency (%)
4 6551
65.5%
9 1991
 
19.9%
1 834
 
8.3%
2 595
 
5.9%
3 29
 
0.3%

Length

2023-12-12T16:00:35.710390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:35.819349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 6551
65.5%
9 1991
 
19.9%
1 834
 
8.3%
2 595
 
5.9%
3 29
 
0.3%

계약방법상세
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2918
Minimum0
Maximum110
Zeros834
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:00:36.194117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile50
Maximum110
Range110
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.032476
Coefficient of variation (CV)3.0365992
Kurtosis19.223485
Mean4.2918
Median Absolute Deviation (MAD)0
Skewness4.241901
Sum42918
Variance169.84544
MonotonicityNot monotonic
2023-12-12T16:00:36.314412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 8360
83.6%
0 834
 
8.3%
50 541
 
5.4%
12 139
 
1.4%
100 38
 
0.4%
11 23
 
0.2%
8 12
 
0.1%
13 10
 
0.1%
5 7
 
0.1%
15 5
 
0.1%
Other values (14) 31
 
0.3%
ValueCountFrequency (%)
0 834
 
8.3%
1 8360
83.6%
3 1
 
< 0.1%
5 7
 
0.1%
6 1
 
< 0.1%
8 12
 
0.1%
9 5
 
0.1%
10 4
 
< 0.1%
11 23
 
0.2%
12 139
 
1.4%
ValueCountFrequency (%)
110 4
 
< 0.1%
100 38
 
0.4%
92 1
 
< 0.1%
91 4
 
< 0.1%
70 3
 
< 0.1%
60 1
 
< 0.1%
50 541
5.4%
42 1
 
< 0.1%
41 1
 
< 0.1%
31 1
 
< 0.1%

계약유형
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
4359 
2
3875 
3
766 
4
 
399
7
 
188
Other values (5)
 
413

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 4359
43.6%
2 3875
38.8%
3 766
 
7.7%
4 399
 
4.0%
7 188
 
1.9%
A 108
 
1.1%
9 98
 
1.0%
6 77
 
0.8%
5 69
 
0.7%
8 61
 
0.6%

Length

2023-12-12T16:00:36.449563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:36.582676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4359
43.6%
2 3875
38.8%
3 766
 
7.7%
4 399
 
4.0%
7 188
 
1.9%
a 108
 
1.1%
9 98
 
1.0%
6 77
 
0.8%
5 69
 
0.7%
8 61
 
0.6%

신규장기구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9881 
1
 
104
2
 
15

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 9881
98.8%
1 104
 
1.0%
2 15
 
0.1%

Length

2023-12-12T16:00:36.710758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:36.804606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9881
98.8%
1 104
 
1.0%
2 15
 
0.1%

공동체계약구분
Real number (ℝ)

SKEWED 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0542
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:00:36.880881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum43
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3081412
Coefficient of variation (CV)1.2408853
Kurtosis967.38139
Mean1.0542
Median Absolute Deviation (MAD)0
Skewness30.936302
Sum10542
Variance1.7112335
MonotonicityNot monotonic
2023-12-12T16:00:36.968500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 9893
98.9%
2 75
 
0.8%
3 18
 
0.2%
42 9
 
0.1%
6 4
 
< 0.1%
43 1
 
< 0.1%
ValueCountFrequency (%)
1 9893
98.9%
2 75
 
0.8%
3 18
 
0.2%
6 4
 
< 0.1%
42 9
 
0.1%
43 1
 
< 0.1%
ValueCountFrequency (%)
43 1
 
< 0.1%
42 9
 
0.1%
6 4
 
< 0.1%
3 18
 
0.2%
2 75
 
0.8%
1 9893
98.9%

계약명
Text

Distinct9483
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:00:37.250469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length16.6291
Min length4

Characters and Unicode

Total characters166291
Distinct characters728
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9090 ?
Unique (%)90.9%

Sample

1st row모자보건사업 기자재 구입
2nd row운곡1 세천정비 공사
3rd row공사시행(곤동농로포장및배수로정비공사)
4th row칠성너무터소하천수해복구공사
5th row성불산생태공원조성사업무연분묘개장용역시행
ValueCountFrequency (%)
구입 366
 
2.1%
및 297
 
1.7%
폐기물처리용역 281
 
1.6%
시행 247
 
1.4%
용역 161
 
0.9%
공사 136
 
0.8%
실시설계용역 126
 
0.7%
지급 113
 
0.6%
설치 106
 
0.6%
설치공사 86
 
0.5%
Other values (10511) 15580
89.0%
2023-12-12T16:00:37.656948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 10249
 
6.2%
공 7999
 
4.8%
7505
 
4.5%
수 4459
 
2.7%
로 3626
 
2.2%
설 3090
 
1.9%
시 3074
 
1.8%
용 3037
 
1.8%
정 2977
 
1.8%
장 2838
 
1.7%
Other values (718) 117437
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145964
87.8%
Space Separator 7505
 
4.5%
Decimal Number 6508
 
3.9%
Open Punctuation 2467
 
1.5%
Close Punctuation 2464
 
1.5%
Uppercase Letter 483
 
0.3%
Dash Punctuation 463
 
0.3%
Other Punctuation 319
 
0.2%
Math Symbol 81
 
< 0.1%
Lowercase Letter 35
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 10249
 
7.0%
공 7999
 
5.5%
수 4459
 
3.1%
로 3626
 
2.5%
설 3090
 
2.1%
시 3074
 
2.1%
용 3037
 
2.1%
정 2977
 
2.0%
장 2838
 
1.9%
역 2532
 
1.7%
Other values (654) 102083
69.9%
Uppercase Letter
ValueCountFrequency (%)
C 81
16.8%
T 47
9.7%
V 42
8.7%
D 41
8.5%
L 38
7.9%
S 35
 
7.2%
E 34
 
7.0%
A 27
 
5.6%
P 26
 
5.4%
B 20
 
4.1%
Other values (13) 92
19.0%
Lowercase Letter
ValueCountFrequency (%)
t 7
20.0%
o 6
17.1%
i 4
11.4%
c 3
8.6%
b 3
8.6%
p 3
8.6%
u 3
8.6%
s 2
 
5.7%
f 1
 
2.9%
m 1
 
2.9%
Other values (2) 2
 
5.7%
Decimal Number
ValueCountFrequency (%)
2 1939
29.8%
1 1707
26.2%
0 1334
20.5%
3 482
 
7.4%
4 229
 
3.5%
8 199
 
3.1%
9 198
 
3.0%
5 159
 
2.4%
6 136
 
2.1%
7 125
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 202
63.3%
. 62
 
19.4%
· 37
 
11.6%
: 7
 
2.2%
" 4
 
1.3%
/ 4
 
1.3%
' 2
 
0.6%
& 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 2399
97.2%
[ 66
 
2.7%
「 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2395
97.2%
] 67
 
2.7%
」 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 80
98.8%
= 1
 
1.2%
Space Separator
ValueCountFrequency (%)
7505
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 463
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145964
87.8%
Common 19809
 
11.9%
Latin 518
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 10249
 
7.0%
공 7999
 
5.5%
수 4459
 
3.1%
로 3626
 
2.5%
설 3090
 
2.1%
시 3074
 
2.1%
용 3037
 
2.1%
정 2977
 
2.0%
장 2838
 
1.9%
역 2532
 
1.7%
Other values (654) 102083
69.9%
Latin
ValueCountFrequency (%)
C 81
15.6%
T 47
 
9.1%
V 42
 
8.1%
D 41
 
7.9%
L 38
 
7.3%
S 35
 
6.8%
E 34
 
6.6%
A 27
 
5.2%
P 26
 
5.0%
B 20
 
3.9%
Other values (25) 127
24.5%
Common
ValueCountFrequency (%)
7505
37.9%
( 2399
 
12.1%
) 2395
 
12.1%
2 1939
 
9.8%
1 1707
 
8.6%
0 1334
 
6.7%
3 482
 
2.4%
- 463
 
2.3%
4 229
 
1.2%
, 202
 
1.0%
Other values (19) 1154
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145959
87.8%
ASCII 20286
 
12.2%
None 41
 
< 0.1%
Compat Jamo 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 10249
 
7.0%
공 7999
 
5.5%
수 4459
 
3.1%
로 3626
 
2.5%
설 3090
 
2.1%
시 3074
 
2.1%
용 3037
 
2.1%
정 2977
 
2.0%
장 2838
 
1.9%
역 2532
 
1.7%
Other values (652) 102078
69.9%
ASCII
ValueCountFrequency (%)
7505
37.0%
( 2399
 
11.8%
) 2395
 
11.8%
2 1939
 
9.6%
1 1707
 
8.4%
0 1334
 
6.6%
3 482
 
2.4%
- 463
 
2.3%
4 229
 
1.1%
, 202
 
1.0%
Other values (51) 1631
 
8.0%
None
ValueCountFrequency (%)
· 37
90.2%
」 2
 
4.9%
「 2
 
4.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
80.0%
ㄹ 1
 
20.0%

위치명
Text

Distinct5211
Distinct (%)52.1%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T16:00:37.961464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length12.50355
Min length2

Characters and Unicode

Total characters125023
Distinct characters420
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3925 ?
Unique (%)39.3%

Sample

1st row괴산군보건소
2nd row괴산군 청안면 운곡리 지내
3rd row감물면 구월리 683번지 일원
4th row괴산군 칠성면 갈읍리 일원
5th row괴산읍 검승리 산26-1 일원
ValueCountFrequency (%)
괴산군 4056
 
13.0%
일원 3229
 
10.4%
괴산읍 1603
 
5.1%
지내 1545
 
5.0%
청천면 911
 
2.9%
청안면 834
 
2.7%
칠성면 697
 
2.2%
사리면 600
 
1.9%
연풍면 586
 
1.9%
문광면 493
 
1.6%
Other values (4043) 16578
53.3%
2023-12-12T16:00:38.418556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21147
 
16.9%
리 8387
 
6.7%
산 7122
 
5.7%
괴 6262
 
5.0%
면 6068
 
4.9%
군 4501
 
3.6%
원 4271
 
3.4%
일 3959
 
3.2%
지 3801
 
3.0%
청 2350
 
1.9%
Other values (410) 57155
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92961
74.4%
Space Separator 21147
 
16.9%
Decimal Number 8821
 
7.1%
Dash Punctuation 1124
 
0.9%
Other Punctuation 536
 
0.4%
Open Punctuation 179
 
0.1%
Close Punctuation 178
 
0.1%
Math Symbol 64
 
0.1%
Uppercase Letter 12
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 8387
 
9.0%
산 7122
 
7.7%
괴 6262
 
6.7%
면 6068
 
6.5%
군 4501
 
4.8%
원 4271
 
4.6%
일 3959
 
4.3%
지 3801
 
4.1%
청 2350
 
2.5%
내 2132
 
2.3%
Other values (383) 44108
47.4%
Decimal Number
ValueCountFrequency (%)
1 1935
21.9%
2 1456
16.5%
3 961
10.9%
4 798
9.0%
5 775
8.8%
6 727
 
8.2%
9 583
 
6.6%
7 568
 
6.4%
0 522
 
5.9%
8 496
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
C 4
33.3%
T 3
25.0%
V 2
16.7%
B 2
16.7%
A 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 506
94.4%
. 24
 
4.5%
· 4
 
0.7%
" 2
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 178
99.4%
[ 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 63
98.4%
> 1
 
1.6%
Space Separator
ValueCountFrequency (%)
21147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 178
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92961
74.4%
Common 32050
 
25.6%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 8387
 
9.0%
산 7122
 
7.7%
괴 6262
 
6.7%
면 6068
 
6.5%
군 4501
 
4.8%
원 4271
 
4.6%
일 3959
 
4.3%
지 3801
 
4.1%
청 2350
 
2.5%
내 2132
 
2.3%
Other values (383) 44108
47.4%
Common
ValueCountFrequency (%)
21147
66.0%
1 1935
 
6.0%
2 1456
 
4.5%
- 1124
 
3.5%
3 961
 
3.0%
4 798
 
2.5%
5 775
 
2.4%
6 727
 
2.3%
9 583
 
1.8%
7 568
 
1.8%
Other values (12) 1976
 
6.2%
Latin
ValueCountFrequency (%)
C 4
33.3%
T 3
25.0%
V 2
16.7%
B 2
16.7%
A 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92953
74.3%
ASCII 32057
 
25.6%
Compat Jamo 8
 
< 0.1%
None 4
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21147
66.0%
1 1935
 
6.0%
2 1456
 
4.5%
- 1124
 
3.5%
3 961
 
3.0%
4 798
 
2.5%
5 775
 
2.4%
6 727
 
2.3%
9 583
 
1.8%
7 568
 
1.8%
Other values (15) 1983
 
6.2%
Hangul
ValueCountFrequency (%)
리 8387
 
9.0%
산 7122
 
7.7%
괴 6262
 
6.7%
면 6068
 
6.5%
군 4501
 
4.8%
원 4271
 
4.6%
일 3959
 
4.3%
지 3801
 
4.1%
청 2350
 
2.5%
내 2132
 
2.3%
Other values (377) 44100
47.4%
None
ValueCountFrequency (%)
· 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 2
25.0%
ㅊ 2
25.0%
ㅓ 1
12.5%
ㄴ 1
12.5%
ㅜ 1
12.5%
ㄱ 1
12.5%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

조달수수료
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct384
Distinct (%)4.1%
Missing655
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean9206.1059
Minimum0
Maximum17508560
Zeros8947
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:00:38.560212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum17508560
Range17508560
Interquartile range (IQR)0

Descriptive statistics

Standard deviation193608.1
Coefficient of variation (CV)21.030401
Kurtosis7150.3491
Mean9206.1059
Median Absolute Deviation (MAD)0
Skewness79.798349
Sum86031060
Variance3.7484097 × 1010
MonotonicityNot monotonic
2023-12-12T16:00:38.708359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8947
89.5%
503500 7
 
0.1%
10570 2
 
< 0.1%
37350 2
 
< 0.1%
15760 2
 
< 0.1%
46490 2
 
< 0.1%
95900 2
 
< 0.1%
17200 2
 
< 0.1%
478320 2
 
< 0.1%
16710 2
 
< 0.1%
Other values (374) 375
 
3.8%
(Missing) 655
 
6.6%
ValueCountFrequency (%)
0 8947
89.5%
840 1
 
< 0.1%
1300 1
 
< 0.1%
1390 1
 
< 0.1%
1510 1
 
< 0.1%
2670 1
 
< 0.1%
2690 1
 
< 0.1%
2730 1
 
< 0.1%
3050 1
 
< 0.1%
3090 1
 
< 0.1%
ValueCountFrequency (%)
17508560 1
< 0.1%
2134000 1
< 0.1%
2058480 1
< 0.1%
1992540 1
< 0.1%
1571600 1
< 0.1%
1267980 1
< 0.1%
1243660 1
< 0.1%
1228710 1
< 0.1%
1226320 1
< 0.1%
1225880 1
< 0.1%

최초총괄계약금액
Real number (ℝ)

SKEWED 

Distinct6479
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47771702
Minimum50000
Maximum1.3027894 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:00:38.860976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50000
5-th percentile1745918.5
Q17200000
median13600000
Q326418138
95-th percentile1.2845014 × 108
Maximum1.3027894 × 1010
Range1.3027844 × 1010
Interquartile range (IQR)19218138

Descriptive statistics

Standard deviation2.4965098 × 108
Coefficient of variation (CV)5.2259176
Kurtosis927.20587
Mean47771702
Median Absolute Deviation (MAD)7595000
Skewness24.080165
Sum4.7771702 × 1011
Variance6.2325611 × 1016
MonotonicityNot monotonic
2023-12-12T16:00:39.029200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18000000 63
 
0.6%
9500000 53
 
0.5%
20000000 47
 
0.5%
13500000 39
 
0.4%
9000000 38
 
0.4%
10000000 31
 
0.3%
9200000 30
 
0.3%
11000000 30
 
0.3%
14000000 29
 
0.3%
19800000 27
 
0.3%
Other values (6469) 9613
96.1%
ValueCountFrequency (%)
50000 1
 
< 0.1%
80000 1
 
< 0.1%
95000 1
 
< 0.1%
114000 1
 
< 0.1%
139000 1
 
< 0.1%
143000 2
< 0.1%
157170 1
 
< 0.1%
159000 1
 
< 0.1%
177000 1
 
< 0.1%
180000 3
< 0.1%
ValueCountFrequency (%)
13027894000 1
< 0.1%
7200000000 1
< 0.1%
7125007000 1
< 0.1%
5096679000 1
< 0.1%
3949000000 1
< 0.1%
3843185000 1
< 0.1%
3813300000 1
< 0.1%
3663152000 1
< 0.1%
3285360600 1
< 0.1%
3081817000 1
< 0.1%

총괄계약합계금액
Real number (ℝ)

SKEWED 

Distinct7147
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52149057
Minimum0
Maximum1.4668495 × 1010
Zeros15
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:00:39.204052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1670000
Q17260000
median13650000
Q326415750
95-th percentile1.301936 × 108
Maximum1.4668495 × 1010
Range1.4668495 × 1010
Interquartile range (IQR)19155750

Descriptive statistics

Standard deviation2.8321878 × 108
Coefficient of variation (CV)5.4309472
Kurtosis848.87732
Mean52149057
Median Absolute Deviation (MAD)7650000
Skewness22.51377
Sum5.2149057 × 1011
Variance8.0212875 × 1016
MonotonicityNot monotonic
2023-12-12T16:00:39.389739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000000 43
 
0.4%
9500000 40
 
0.4%
18000000 40
 
0.4%
10000000 38
 
0.4%
5000000 27
 
0.3%
9000000 27
 
0.3%
13500000 25
 
0.2%
9200000 25
 
0.2%
5700000 24
 
0.2%
18200000 22
 
0.2%
Other values (7137) 9689
96.9%
ValueCountFrequency (%)
0 15
0.1%
24000 1
 
< 0.1%
50000 1
 
< 0.1%
61000 1
 
< 0.1%
80000 1
 
< 0.1%
95000 1
 
< 0.1%
114000 1
 
< 0.1%
139000 1
 
< 0.1%
143000 2
 
< 0.1%
146000 1
 
< 0.1%
ValueCountFrequency (%)
14668495000 1
< 0.1%
7854966000 1
< 0.1%
5289844000 1
< 0.1%
4934479000 1
< 0.1%
4823671000 1
< 0.1%
4589775000 1
< 0.1%
4475300000 1
< 0.1%
4087900000 1
< 0.1%
3983678000 1
< 0.1%
3954584000 1
< 0.1%

총괄계약일자
Date

Distinct2507
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2006-04-12 00:00:00
Maximum2080-02-01 00:00:00
2023-12-12T16:00:39.580437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:00:39.738509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공일자
Date

MISSING 

Distinct2375
Distinct (%)27.4%
Missing1317
Missing (%)13.2%
Memory size156.2 KiB
Minimum2007-03-26 00:00:00
Maximum2019-11-05 00:00:00
2023-12-12T16:00:39.879822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:00:40.019275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

준공일자
Date

Distinct3145
Distinct (%)31.7%
Missing92
Missing (%)0.9%
Memory size156.2 KiB
Minimum2008-01-06 00:00:00
Maximum2021-05-11 00:00:00
2023-12-12T16:00:40.162174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:00:40.287873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

준공예정일자
Date

Distinct3443
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2008-01-17 00:00:00
Maximum2021-05-11 00:00:00
2023-12-12T16:00:40.425653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:00:40.574320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개산여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9999 
True
 
1
ValueCountFrequency (%)
False 9999
> 99.9%
True 1
 
< 0.1%
2023-12-12T16:00:40.667322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

채무부담액
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9778 
<NA>
 
220
11905000
 
1
13639000
 
1

Length

Max length8
Median length1
Mean length1.0674
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9778
97.8%
<NA> 220
 
2.2%
11905000 1
 
< 0.1%
13639000 1
 
< 0.1%

Length

2023-12-12T16:00:40.767438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:40.872593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9778
97.8%
na 220
 
2.2%
11905000 1
 
< 0.1%
13639000 1
 
< 0.1%

절대공기
Real number (ℝ)

MISSING 

Distinct269
Distinct (%)3.1%
Missing1316
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean73.859166
Minimum-33
Maximum1080
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)0.1%
Memory size166.0 KiB
2023-12-12T16:00:40.983378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-33
5-th percentile10
Q130
median60
Q390
95-th percentile230
Maximum1080
Range1113
Interquartile range (IQR)60

Descriptive statistics

Standard deviation80.185503
Coefficient of variation (CV)1.0856541
Kurtosis19.751465
Mean73.859166
Median Absolute Deviation (MAD)30
Skewness3.6308888
Sum641393
Variance6429.7149
MonotonicityNot monotonic
2023-12-12T16:00:41.141260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 1797
18.0%
90 882
8.8%
40 856
 
8.6%
30 852
 
8.5%
50 618
 
6.2%
20 418
 
4.2%
120 418
 
4.2%
10 264
 
2.6%
180 196
 
2.0%
25 191
 
1.9%
Other values (259) 2192
21.9%
(Missing) 1316
13.2%
ValueCountFrequency (%)
-33 1
 
< 0.1%
-16 2
 
< 0.1%
-15 1
 
< 0.1%
-11 1
 
< 0.1%
-9 2
 
< 0.1%
-3 1
 
< 0.1%
-2 1
 
< 0.1%
1 98
1.0%
2 26
 
0.3%
3 14
 
0.1%
ValueCountFrequency (%)
1080 1
 
< 0.1%
900 1
 
< 0.1%
864 1
 
< 0.1%
847 1
 
< 0.1%
730 2
 
< 0.1%
720 9
0.1%
680 1
 
< 0.1%
660 3
 
< 0.1%
630 3
 
< 0.1%
615 1
 
< 0.1%

지체상금율
Real number (ℝ)

MISSING  SKEWED 

Distinct8
Distinct (%)0.1%
Missing2414
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean1.3937516
Minimum0
Maximum235
Zeros57
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:00:41.285187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum235
Range235
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8314754
Coefficient of variation (CV)2.0315495
Kurtosis6110.7425
Mean1.3937516
Median Absolute Deviation (MAD)0
Skewness74.213697
Sum10573
Variance8.017253
MonotonicityNot monotonic
2023-12-12T16:00:41.390047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 5927
59.3%
3 945
 
9.4%
2 624
 
6.2%
0 57
 
0.6%
10 30
 
0.3%
235 1
 
< 0.1%
15 1
 
< 0.1%
13 1
 
< 0.1%
(Missing) 2414
24.1%
ValueCountFrequency (%)
0 57
 
0.6%
1 5927
59.3%
2 624
 
6.2%
3 945
 
9.4%
10 30
 
0.3%
13 1
 
< 0.1%
15 1
 
< 0.1%
235 1
 
< 0.1%
ValueCountFrequency (%)
235 1
 
< 0.1%
15 1
 
< 0.1%
13 1
 
< 0.1%
10 30
 
0.3%
3 945
 
9.4%
2 624
 
6.2%
1 5927
59.3%
0 57
 
0.6%

계약사유
Text

MISSING 

Distinct128
Distinct (%)2.3%
Missing4484
Missing (%)44.8%
Memory size156.2 KiB
2023-12-12T16:00:41.953629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length114
Median length109
Mean length68.65736
Min length2

Characters and Unicode

Total characters378714
Distinct characters260
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)1.6%

Sample

1st row추정가격 2천만원 이하의 물품의 제조·구매계약 또는 용역계약(제25조제1항제5호나목)
2nd row「건설산업기본법」에 따른 건설공사로 추정가격 2억원 이하의 공사, 같은 법에 따른 전문공사로 추정가격 1억원 이하의 공사 계약(제25조제1항제5호가목)
3rd row추정가격이 2억원 이하인 종합공사(전문공사의 경우 1억원, 전기공사/정보통신공사/소방시설공사 등 8천만원) 계약(제25조제1항제5호)
4th row추정가격이 2억원 이하인 종합공사(전문공사의 경우 1억원, 전기공사/정보통신공사/소방시설공사 등 8천만원) 계약(제25조제1항제5호)
5th row추정가격 2천만원 이하의 물품의 제조·구매계약 또는 용역계약(제25조제1항제5호나목)
ValueCountFrequency (%)
추정가격 4785
 
7.4%
이하의 4566
 
7.0%
따른 4108
 
6.3%
공사 3784
 
5.8%
2억원 3054
 
4.7%
1억원 3054
 
4.7%
추정가격이 2376
 
3.6%
이하인 2371
 
3.6%
또는 1964
 
3.0%
계약(제25조제1항제5호가목 1951
 
3.0%
Other values (403) 33085
50.8%
2023-12-12T16:00:42.311901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59582
 
15.7%
제 18050
 
4.8%
공 14099
 
3.7%
사 14056
 
3.7%
5 11637
 
3.1%
의 10127
 
2.7%
원 9996
 
2.6%
이 9585
 
2.5%
2 9441
 
2.5%
가 9273
 
2.4%
Other values (250) 212868
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 260987
68.9%
Space Separator 59582
 
15.7%
Decimal Number 31195
 
8.2%
Other Punctuation 9354
 
2.5%
Close Punctuation 8795
 
2.3%
Open Punctuation 8795
 
2.3%
Dash Punctuation 3
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 18050
 
6.9%
공 14099
 
5.4%
사 14056
 
5.4%
의 10127
 
3.9%
원 9996
 
3.8%
이 9585
 
3.7%
가 9273
 
3.6%
정 8423
 
3.2%
조 7409
 
2.8%
하 7377
 
2.8%
Other values (225) 152592
58.5%
Decimal Number
ValueCountFrequency (%)
5 11637
37.3%
2 9441
30.3%
1 8469
27.1%
8 1371
 
4.4%
3 127
 
0.4%
0 114
 
0.4%
4 21
 
0.1%
6 9
 
< 0.1%
7 4
 
< 0.1%
9 2
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
, 3471
37.1%
· 3257
34.8%
/ 2456
26.3%
. 110
 
1.2%
" 58
 
0.6%
' 2
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
P 1
33.3%
G 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 6514
74.1%
」 2281
 
25.9%
Open Punctuation
ValueCountFrequency (%)
( 6514
74.1%
「 2281
 
25.9%
Space Separator
ValueCountFrequency (%)
59582
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 260987
68.9%
Common 117724
31.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 18050
 
6.9%
공 14099
 
5.4%
사 14056
 
5.4%
의 10127
 
3.9%
원 9996
 
3.8%
이 9585
 
3.7%
가 9273
 
3.6%
정 8423
 
3.2%
조 7409
 
2.8%
하 7377
 
2.8%
Other values (225) 152592
58.5%
Common
ValueCountFrequency (%)
59582
50.6%
5 11637
 
9.9%
2 9441
 
8.0%
1 8469
 
7.2%
) 6514
 
5.5%
( 6514
 
5.5%
, 3471
 
2.9%
· 3257
 
2.8%
/ 2456
 
2.1%
「 2281
 
1.9%
Other values (12) 4102
 
3.5%
Latin
ValueCountFrequency (%)
S 1
33.3%
P 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 260985
68.9%
ASCII 109908
29.0%
None 7819
 
2.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59582
54.2%
5 11637
 
10.6%
2 9441
 
8.6%
1 8469
 
7.7%
) 6514
 
5.9%
( 6514
 
5.9%
, 3471
 
3.2%
/ 2456
 
2.2%
8 1371
 
1.2%
3 127
 
0.1%
Other values (12) 326
 
0.3%
Hangul
ValueCountFrequency (%)
제 18050
 
6.9%
공 14099
 
5.4%
사 14056
 
5.4%
의 10127
 
3.9%
원 9996
 
3.8%
이 9585
 
3.7%
가 9273
 
3.6%
정 8423
 
3.2%
조 7409
 
2.8%
하 7377
 
2.8%
Other values (224) 152590
58.5%
None
ValueCountFrequency (%)
· 3257
41.7%
「 2281
29.2%
」 2281
29.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2019-12-09
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-12-09
2nd row2019-12-09
3rd row2019-12-09
4th row2019-12-09
5th row2019-12-09

Common Values

ValueCountFrequency (%)
2019-12-09 10000
100.0%

Length

2023-12-12T16:00:42.441219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:42.532488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-12-09 10000
100.0%

Sample

회계연도경비구분조달구분계약종류계약방법계약방법상세계약유형신규장기구분공동체계약구분계약명위치명조달수수료최초총괄계약금액총괄계약합계금액총괄계약일자착공일자준공일자준공예정일자개산여부채무부담액절대공기지체상금율계약사유데이터기준일
3482018101341101모자보건사업 기자재 구입괴산군보건소06160006160002018-11-05<NA>2018-11-092018-11-16N0<NA>1추정가격 2천만원 이하의 물품의 제조·구매계약 또는 용역계약(제25조제1항제5호나목)2019-12-09
99762008101141201운곡1 세천정비 공사괴산군 청안면 운곡리 지내<NA>13650000136500002008-04-252008-05-012008-06-302008-06-30N0601<NA>2019-12-09
125282019101141201공사시행(곤동농로포장및배수로정비공사)감물면 구월리 683번지 일원016530000182400002019-03-112019-03-142019-04-182019-05-02N050<NA>「건설산업기본법」에 따른 건설공사로 추정가격 2억원 이하의 공사, 같은 법에 따른 전문공사로 추정가격 1억원 이하의 공사 계약(제25조제1항제5호가목)2019-12-09
158572012102191201칠성너무터소하천수해복구공사괴산군 칠성면 갈읍리 일원032703000336910002012-12-172012-12-202013-05-242013-03-19N0901추정가격이 2억원 이하인 종합공사(전문공사의 경우 1억원, 전기공사/정보통신공사/소방시설공사 등 8천만원) 계약(제25조제1항제5호)2019-12-09
76182011102241101성불산생태공원조성사업무연분묘개장용역시행괴산읍 검승리 산26-1 일원07700000103850002011-09-152011-09-192011-10-142011-10-16N0283<NA>2019-12-09
608820131021412012013지하수사후관리공사괴산군 일원0900000086900002013-09-102013-09-112014-02-072014-02-08N01511추정가격이 2억원 이하인 종합공사(전문공사의 경우 1억원, 전기공사/정보통신공사/소방시설공사 등 8천만원) 계약(제25조제1항제5호)2019-12-09
42142010101241301산막이옛길조경사업(2차)실시설계용역괴산군 칠성면 사은리 409번지 일원0620000062000002010-05-032010-05-072010-06-052010-06-05N0303<NA>2019-12-09
30102012102141101농촌가로등 보수공사(1차)칠성면 사오랑 노학식 집앞 외 50개소0483957048395702012-03-192012-03-082012-03-142012-03-14N071<NA>2019-12-09
84722019102241101축구종합센터건축입체도제작괴산군청011500000115000002019-02-262019-02-262019-03-272019-03-27N030<NA>추정가격 2천만원 이하의 물품의 제조·구매계약 또는 용역계약(제25조제1항제5호나목)2019-12-09
992220091022912301여사왕소하천정비공사외3건실시설계용역괴산군 청천면 여사왕리외 3개리 지내013564000135640002009-01-062009-01-122009-02-112009-02-11N0313<NA>2019-12-09
회계연도경비구분조달구분계약종류계약방법계약방법상세계약유형신규장기구분공동체계약구분계약명위치명조달수수료최초총괄계약금액총괄계약합계금액총괄계약일자착공일자준공일자준공예정일자개산여부채무부담액절대공기지체상금율계약사유데이터기준일
175532013102191201연풍분지소하천정비공사괴산군 연풍면 분지리 일원054675770591930002013-10-242013-10-292013-12-302014-02-25N01201추정가격이 2억원 이하인 종합공사(전문공사의 경우 1억원, 전기공사/정보통신공사/소방시설공사 등 8천만원) 계약(제25조제1항제5호)2019-12-09
65022018102141101청안백봉2배수로설치공사청안면 백봉리 128번지 일원0915000091500002018-06-112018-06-112018-07-102018-07-10N0301추정가격 2천만원 이하 공사,물품의 제조·구매·용역. 다만,「여성기업지원에 관한 법률」에 따른 여성기업,「장애인기업활동 촉진법」에 따른 장애인기업과 계약은 추정가격 5천만원 이하로 함(제30조제1항제2호)2019-12-09
36872010101141101상리 농로 포장공사충북 괴산군 사리면 화산리 상리마을 지내0569000056000002010-03-042010-03-082010-06-052010-06-05N0901<NA>2019-12-09
123672013101241101소각시설대체신설 타당성조사용역쓰레기종합처리장 내018000000180000002013-01-252013-01-312013-05-242013-05-30N0120<NA>추정가격이 5천만원 이하인 물품의 제조·구매·용역 계약 또는 그 밖의 계약의 경우(제25조제1항제5호)2019-12-09
1333820191011413012019년 농촌가로등 신규설치 공사비 지급청천면 귀만리 203-1번지 외 47개소019600000196000002019-05-032019-05-032019-05-172019-05-17N015<NA>「건설산업기본법」외의 공사 관련 법령에 따른 공사로서 추정가격이 8천만원 이하인 공사에 대한 계약(제25조제1항제5호가목)2019-12-09
286420091011412101용암 배수로 설치 및 포장 공사사리면 노송리 용암마을0475000047000002009-06-122009-06-172009-07-272009-07-27N<NA>411<NA>2019-12-09
139052011102191201종산박스암거설치공사괴산군 연풍면 적석리 일원021280230206000002011-10-202011-10-262011-12-232011-12-24N0601<NA>2019-12-09
63692016102141201연풍금대농로포장공사괴산군 연풍면 갈금리 일원01010000090430002016-08-122016-08-182016-10-142016-10-16N0601「건설산업기본법」에 따른 건설공사로 추정가격 2억원 이하의 공사, 같은 법에 따른 전문공사로 추정가격 1억원 이하의 공사 계약(제25조제1항제5호가목)2019-12-09
177112012102191401청천리고가도난감시시설설치공사괴산군 청천면 청천4길 17064273350637020002012-11-232012-11-282013-03-222013-01-06N0401추정가격이 2억원 이하인 종합공사(전문공사의 경우 1억원, 전기공사/정보통신공사/소방시설공사 등 8천만원) 계약(제25조제1항제5호)2019-12-09
1634220141021912012014년큰나무공익조림사업(3지구)괴산군 감물면 매전리 산68번지외 1필지039545450388040002014-04-042014-04-072014-04-302014-05-16N0401추정가격이 2억원 이하인 종합공사(전문공사의 경우 1억원, 전기공사/정보통신공사/소방시설공사 등 8천만원) 계약(제25조제1항제5호)2019-12-09

Duplicate rows

Most frequently occurring

회계연도경비구분조달구분계약종류계약방법계약방법상세계약유형신규장기구분공동체계약구분계약명위치명조달수수료최초총괄계약금액총괄계약합계금액총괄계약일자착공일자준공일자준공예정일자개산여부채무부담액절대공기지체상금율계약사유데이터기준일# duplicates
02008101141101후영1용수로보수공사 준공금 지급후영1 지내<NA>15408900154089002008-11-052008-11-102008-12-152008-12-15N035<NA><NA>2019-12-092