Overview

Dataset statistics

Number of variables10
Number of observations8281
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory663.3 KiB
Average record size in memory82.0 B

Variable types

Numeric2
Categorical4
Text2
DateTime2

Dataset

Description충청남도 건설공사 현황으로서 공사명, 발주처, 시공사 등에 대한 데이터로 충청남도 건설공사 자원정보 공유시스템 보유자료 입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=378&beforeMenuCd=DOM_000000201001001000&publicdatapk=15063017

Alerts

용도 is highly overall correlated with 토공유형High correlation
토공유형 is highly overall correlated with 용도High correlation
토석종류 is highly imbalanced (86.2%)Imbalance
잔여량(세제곱미터) is highly skewed (γ1 = 25.93295486)Skewed
번호 has unique valuesUnique
잔여량(세제곱미터) has 1466 (17.7%) zerosZeros

Reproduction

Analysis started2024-01-09 23:14:07.045548
Analysis finished2024-01-09 23:14:08.639459
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct8281
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4141
Minimum1
Maximum8281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size72.9 KiB
2024-01-10T08:14:08.715652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile415
Q12071
median4141
Q36211
95-th percentile7867
Maximum8281
Range8280
Interquartile range (IQR)4140

Descriptive statistics

Standard deviation2390.6631
Coefficient of variation (CV)0.57731541
Kurtosis-1.2
Mean4141
Median Absolute Deviation (MAD)2070
Skewness0
Sum34291621
Variance5715270.2
MonotonicityStrictly increasing
2024-01-10T08:14:08.875499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5501 1
 
< 0.1%
5531 1
 
< 0.1%
5530 1
 
< 0.1%
5529 1
 
< 0.1%
5528 1
 
< 0.1%
5527 1
 
< 0.1%
5526 1
 
< 0.1%
5525 1
 
< 0.1%
5524 1
 
< 0.1%
Other values (8271) 8271
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 (%)
8281 1
< 0.1%
8280 1
< 0.1%
8279 1
< 0.1%
8278 1
< 0.1%
8277 1
< 0.1%
8276 1
< 0.1%
8275 1
< 0.1%
8274 1
< 0.1%
8273 1
< 0.1%
8272 1
< 0.1%

시군명
Categorical

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
서산시
1508 
공주시
1014 
예산군
940 
당진시
873 
홍성군
872 
Other values (10)
3074 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row예산군
2nd row아산시
3rd row계룡시
4th row예산군
5th row아산시

Common Values

ValueCountFrequency (%)
서산시 1508
18.2%
공주시 1014
12.2%
예산군 940
11.4%
당진시 873
10.5%
홍성군 872
10.5%
천안시 544
 
6.6%
태안군 509
 
6.1%
부여군 418
 
5.0%
아산시 372
 
4.5%
보령시 287
 
3.5%
Other values (5) 944
11.4%

Length

2024-01-10T08:14:09.000453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서산시 1508
18.2%
공주시 1014
12.2%
예산군 940
11.4%
당진시 873
10.5%
홍성군 872
10.5%
천안시 544
 
6.6%
태안군 509
 
6.1%
부여군 418
 
5.0%
아산시 372
 
4.5%
보령시 287
 
3.5%
Other values (5) 944
11.4%

토공유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
사토
6824 
순성토
1457 

Length

Max length3
Median length2
Mean length2.1759449
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사토
2nd row사토
3rd row순성토
4th row사토
5th row사토

Common Values

ValueCountFrequency (%)
사토 6824
82.4%
순성토 1457
 
17.6%

Length

2024-01-10T08:14:09.108865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:14:09.206451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사토 6824
82.4%
순성토 1457
 
17.6%

토석종류
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
토사>보통토사
7802 
토사>고사점토 및 자갈 섞인 토사
 
368
토사>경질토사
 
59
리핑암>풍화암
 
27
발파암>보통암
 
13
Other values (2)
 
12

Length

Max length18
Median length7
Mean length7.4873808
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row토사>보통토사
2nd row토사>보통토사
3rd row토사>보통토사
4th row토사>보통토사
5th row토사>보통토사

Common Values

ValueCountFrequency (%)
토사>보통토사 7802
94.2%
토사>고사점토 및 자갈 섞인 토사 368
 
4.4%
토사>경질토사 59
 
0.7%
리핑암>풍화암 27
 
0.3%
발파암>보통암 13
 
0.2%
발파암>연암 9
 
0.1%
발파암>경암 3
 
< 0.1%

Length

2024-01-10T08:14:09.312380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:14:09.417898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토사>보통토사 7802
80.0%
토사>고사점토 368
 
3.8%
368
 
3.8%
자갈 368
 
3.8%
섞인 368
 
3.8%
토사 368
 
3.8%
토사>경질토사 59
 
0.6%
리핑암>풍화암 27
 
0.3%
발파암>보통암 13
 
0.1%
발파암>연암 9
 
0.1%

용도
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
도로
3702 
기타
1594 
하천
944 
되메우기용
755 
상하수도
579 
Other values (8)
707 

Length

Max length5
Median length2
Mean length2.6465403
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row도로
3rd row되메우기용
4th row기타
5th row상하수도

Common Values

ValueCountFrequency (%)
도로 3702
44.7%
기타 1594
19.2%
하천 944
 
11.4%
되메우기용 755
 
9.1%
상하수도 579
 
7.0%
제방성토용 318
 
3.8%
도로성토용 196
 
2.4%
경지정리 82
 
1.0%
단지조성 62
 
0.7%
조경식재용 24
 
0.3%
Other values (3) 25
 
0.3%

Length

2024-01-10T08:14:09.569110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도로 3702
44.7%
기타 1594
19.2%
하천 944
 
11.4%
되메우기용 755
 
9.1%
상하수도 579
 
7.0%
제방성토용 318
 
3.8%
도로성토용 196
 
2.4%
경지정리 82
 
1.0%
단지조성 62
 
0.7%
조경식재용 24
 
0.3%
Other values (3) 25
 
0.3%

잔여량(세제곱미터)
Real number (ℝ)

SKEWED  ZEROS 

Distinct2177
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1546.8105
Minimum0
Maximum518272
Zeros1466
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size72.9 KiB
2024-01-10T08:14:09.699508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123.63
median129
Q3431
95-th percentile5219
Maximum518272
Range518272
Interquartile range (IQR)407.37

Descriptive statistics

Standard deviation10939.373
Coefficient of variation (CV)7.0722131
Kurtosis926.52743
Mean1546.8105
Median Absolute Deviation (MAD)129
Skewness25.932955
Sum12809138
Variance1.1966989 × 108
MonotonicityNot monotonic
2024-01-10T08:14:09.822770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1466
 
17.7%
20.0 34
 
0.4%
4.0 34
 
0.4%
25.0 31
 
0.4%
37.0 31
 
0.4%
11.0 31
 
0.4%
64.0 30
 
0.4%
111.0 29
 
0.4%
32.0 29
 
0.4%
28.0 29
 
0.4%
Other values (2167) 6537
78.9%
ValueCountFrequency (%)
0.0 1466
17.7%
0.7 1
 
< 0.1%
1.0 11
 
0.1%
1.14 1
 
< 0.1%
1.4 1
 
< 0.1%
1.52 1
 
< 0.1%
1.7 1
 
< 0.1%
1.83 1
 
< 0.1%
1.88 1
 
< 0.1%
2.0 21
 
0.3%
ValueCountFrequency (%)
518272.0 1
< 0.1%
354001.0 1
< 0.1%
310000.0 1
< 0.1%
293384.0 1
< 0.1%
241525.0 1
< 0.1%
191238.0 1
< 0.1%
156609.0 1
< 0.1%
142240.0 1
< 0.1%
124811.0 1
< 0.1%
122508.0 1
< 0.1%
Distinct7839
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2024-01-10T08:14:10.385952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length18.182466
Min length4

Characters and Unicode

Total characters150569
Distinct characters605
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

Unique7454 ?
Unique (%)90.0%

Sample

1st row돌봄문화종합센터 조성사업 신축공사
2nd row선창2리 마을입구 교차로 정비사업
3rd row계룡시 생활자원회수센터 설치사업
4th row예산4리 마을사랑방 신축공사
5th row영인면 성내리 외 1개소 상수도 배수지관 매설공사
ValueCountFrequency (%)
정비공사 1411
 
4.8%
배수로 1202
 
4.1%
마을안길 783
 
2.7%
포장공사 647
 
2.2%
561
 
1.9%
농로포장공사 362
 
1.2%
확포장공사 355
 
1.2%
정비사업 354
 
1.2%
설치공사 330
 
1.1%
2021 319
 
1.1%
Other values (7572) 22790
78.3%
2024-01-10T08:14:10.880648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20872
 
13.9%
8623
 
5.7%
6614
 
4.4%
5175
 
3.4%
4826
 
3.2%
2 4411
 
2.9%
3686
 
2.4%
3580
 
2.4%
3317
 
2.2%
3155
 
2.1%
Other values (595) 86310
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113645
75.5%
Space Separator 20872
 
13.9%
Decimal Number 11243
 
7.5%
Open Punctuation 1955
 
1.3%
Close Punctuation 1953
 
1.3%
Dash Punctuation 460
 
0.3%
Other Punctuation 287
 
0.2%
Math Symbol 105
 
0.1%
Uppercase Letter 41
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8623
 
7.6%
6614
 
5.8%
5175
 
4.6%
4826
 
4.2%
3686
 
3.2%
3580
 
3.2%
3317
 
2.9%
3155
 
2.8%
2529
 
2.2%
2125
 
1.9%
Other values (549) 70015
61.6%
Uppercase Letter
ValueCountFrequency (%)
S 5
12.2%
C 4
9.8%
I 4
9.8%
K 4
9.8%
B 4
9.8%
T 3
 
7.3%
A 2
 
4.9%
G 2
 
4.9%
E 2
 
4.9%
P 2
 
4.9%
Other values (6) 9
22.0%
Decimal Number
ValueCountFrequency (%)
2 4411
39.2%
1 2687
23.9%
0 1778
15.8%
3 828
 
7.4%
8 326
 
2.9%
4 318
 
2.8%
9 272
 
2.4%
5 260
 
2.3%
7 182
 
1.6%
6 181
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 265
92.3%
. 9
 
3.1%
/ 4
 
1.4%
· 3
 
1.0%
3
 
1.0%
: 3
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
33.3%
p 1
16.7%
s 1
16.7%
x 1
16.7%
e 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1944
99.4%
[ 11
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 1942
99.4%
] 11
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 104
99.0%
+ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
20872
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 460
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113645
75.5%
Common 36877
 
24.5%
Latin 47
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8623
 
7.6%
6614
 
5.8%
5175
 
4.6%
4826
 
4.2%
3686
 
3.2%
3580
 
3.2%
3317
 
2.9%
3155
 
2.8%
2529
 
2.2%
2125
 
1.9%
Other values (549) 70015
61.6%
Common
ValueCountFrequency (%)
20872
56.6%
2 4411
 
12.0%
1 2687
 
7.3%
( 1944
 
5.3%
) 1942
 
5.3%
0 1778
 
4.8%
3 828
 
2.2%
- 460
 
1.2%
8 326
 
0.9%
4 318
 
0.9%
Other values (15) 1311
 
3.6%
Latin
ValueCountFrequency (%)
S 5
 
10.6%
C 4
 
8.5%
I 4
 
8.5%
K 4
 
8.5%
B 4
 
8.5%
T 3
 
6.4%
A 2
 
4.3%
G 2
 
4.3%
E 2
 
4.3%
P 2
 
4.3%
Other values (11) 15
31.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113643
75.5%
ASCII 36918
 
24.5%
None 6
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20872
56.5%
2 4411
 
11.9%
1 2687
 
7.3%
( 1944
 
5.3%
) 1942
 
5.3%
0 1778
 
4.8%
3 828
 
2.2%
- 460
 
1.2%
8 326
 
0.9%
4 318
 
0.9%
Other values (34) 1352
 
3.7%
Hangul
ValueCountFrequency (%)
8623
 
7.6%
6614
 
5.8%
5175
 
4.6%
4826
 
4.2%
3686
 
3.2%
3580
 
3.2%
3317
 
2.9%
3155
 
2.8%
2529
 
2.2%
2125
 
1.9%
Other values (547) 70013
61.6%
None
ValueCountFrequency (%)
· 3
50.0%
3
50.0%
Compat Jamo
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct1146
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
Minimum2016-08-03 00:00:00
Maximum2024-12-01 00:00:00
2024-01-10T08:14:11.009636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:14:11.128441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위치
Text

Distinct7971
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2024-01-10T08:14:11.436450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length15.502959
Min length3

Characters and Unicode

Total characters128380
Distinct characters412
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7739 ?
Unique (%)93.5%

Sample

1st row예산리 611
2nd row선창리 534
3rd row입암리 130
4th row예산리 303-9
5th row영인면 성내리 484-6
ValueCountFrequency (%)
충청남도 2079
 
6.9%
공주시 836
 
2.8%
당진시 618
 
2.0%
서산시 511
 
1.7%
예산군 457
 
1.5%
홍성군 363
 
1.2%
충남 359
 
1.2%
부여군 279
 
0.9%
일원 219
 
0.7%
태안군 186
 
0.6%
Other values (8250) 24354
80.5%
2024-01-10T08:14:11.884891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22092
 
17.2%
6121
 
4.8%
1 6023
 
4.7%
4868
 
3.8%
- 4685
 
3.6%
2 4040
 
3.1%
3 3570
 
2.8%
3403
 
2.7%
4 3066
 
2.4%
2986
 
2.3%
Other values (402) 67526
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70221
54.7%
Decimal Number 30846
24.0%
Space Separator 22092
 
17.2%
Dash Punctuation 4685
 
3.6%
Close Punctuation 237
 
0.2%
Open Punctuation 237
 
0.2%
Other Punctuation 60
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6121
 
8.7%
4868
 
6.9%
3403
 
4.8%
2986
 
4.3%
2778
 
4.0%
2552
 
3.6%
2366
 
3.4%
2313
 
3.3%
1715
 
2.4%
1308
 
1.9%
Other values (383) 39811
56.7%
Decimal Number
ValueCountFrequency (%)
1 6023
19.5%
2 4040
13.1%
3 3570
11.6%
4 3066
9.9%
5 2848
9.2%
6 2602
8.4%
7 2480
8.0%
8 2124
 
6.9%
0 2050
 
6.6%
9 2043
 
6.6%
Other Punctuation
ValueCountFrequency (%)
, 52
86.7%
. 4
 
6.7%
: 3
 
5.0%
/ 1
 
1.7%
Space Separator
ValueCountFrequency (%)
22092
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4685
100.0%
Close Punctuation
ValueCountFrequency (%)
) 237
100.0%
Open Punctuation
ValueCountFrequency (%)
( 237
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70221
54.7%
Common 58159
45.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6121
 
8.7%
4868
 
6.9%
3403
 
4.8%
2986
 
4.3%
2778
 
4.0%
2552
 
3.6%
2366
 
3.4%
2313
 
3.3%
1715
 
2.4%
1308
 
1.9%
Other values (383) 39811
56.7%
Common
ValueCountFrequency (%)
22092
38.0%
1 6023
 
10.4%
- 4685
 
8.1%
2 4040
 
6.9%
3 3570
 
6.1%
4 3066
 
5.3%
5 2848
 
4.9%
6 2602
 
4.5%
7 2480
 
4.3%
8 2124
 
3.7%
Other values (9) 4629
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70221
54.7%
ASCII 58159
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22092
38.0%
1 6023
 
10.4%
- 4685
 
8.1%
2 4040
 
6.9%
3 3570
 
6.1%
4 3066
 
5.3%
5 2848
 
4.9%
6 2602
 
4.5%
7 2480
 
4.3%
8 2124
 
3.7%
Other values (9) 4629
 
8.0%
Hangul
ValueCountFrequency (%)
6121
 
8.7%
4868
 
6.9%
3403
 
4.8%
2986
 
4.3%
2778
 
4.0%
2552
 
3.6%
2366
 
3.4%
2313
 
3.3%
1715
 
2.4%
1308
 
1.9%
Other values (383) 39811
56.7%
Distinct884
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
Minimum2017-11-27 00:00:00
Maximum2022-08-31 00:00:00
2024-01-10T08:14:12.006781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:14:12.133316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-01-10T08:14:08.253701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:14:08.101889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:14:08.329393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:14:08.174747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:14:12.221206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시군명토공유형토석종류용도잔여량(세제곱미터)
번호1.0000.4850.0730.1270.1750.036
시군명0.4851.0000.2160.2120.3040.085
토공유형0.0730.2161.0000.0940.9380.069
토석종류0.1270.2120.0941.0000.3280.122
용도0.1750.3040.9380.3281.0000.102
잔여량(세제곱미터)0.0360.0850.0690.1220.1021.000
2024-01-10T08:14:12.327145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도토석종류토공유형시군명
용도1.0000.1590.9450.114
토석종류0.1591.0000.1000.097
토공유형0.9450.1001.0000.197
시군명0.1140.0970.1971.000
2024-01-10T08:14:12.421017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호잔여량(세제곱미터)시군명토공유형토석종류용도
번호1.0000.1940.2030.0560.0640.073
잔여량(세제곱미터)0.1941.0000.0370.0520.0660.046
시군명0.2030.0371.0000.1970.0970.114
토공유형0.0560.0520.1971.0000.1000.945
토석종류0.0640.0660.0970.1001.0000.159
용도0.0730.0460.1140.9450.1591.000

Missing values

2024-01-10T08:14:08.442490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:14:08.575524image/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

번호시군명토공유형토석종류용도잔여량(세제곱미터)공사명발생예정일위치등록일
01예산군사토토사>보통토사기타306.75돌봄문화종합센터 조성사업 신축공사2022-11-16예산리 6112022-08-31
12아산시사토토사>보통토사도로58.0선창2리 마을입구 교차로 정비사업2022-09-02선창리 5342022-08-29
23계룡시순성토토사>보통토사되메우기용5337.0계룡시 생활자원회수센터 설치사업2022-09-30입암리 1302022-08-26
34예산군사토토사>보통토사기타144.0예산4리 마을사랑방 신축공사2022-09-29예산리 303-92022-08-25
45아산시사토토사>보통토사상하수도1282.0영인면 성내리 외 1개소 상수도 배수지관 매설공사2022-09-05영인면 성내리 484-62022-08-25
56예산군사토토사>보통토사기타2413.02022년 불원 게이트펌프장 설치사업2022-11-01불원리 477-42022-08-24
67서산시사토토사>보통토사도로74.0도시계획도로(소로1-83호)사면보강 공사2022-09-08서산시 갈산동 182-12022-08-22
78홍성군사토토사>보통토사도로66.82결성면 농촌유휴시설 리모델링(건축)2022-08-31읍내리 138-42022-08-22
89태안군사토토사>보통토사기타185.0법산2리 마을안길 포장공사2022-08-22법산리 8082022-08-18
910청양군사토토사>보통토사기타158.0청양군 생활밀착형 숲 실외정원 조성사업(조경)2022-09-01충청남도 청양군 청양읍 문화예술로 185, 청양군 문화예술회관2022-08-16
번호시군명토공유형토석종류용도잔여량(세제곱미터)공사명발생예정일위치등록일
82718272태안군사토토사>보통토사기타900.0어르신 건강센터 건립공사2018-03-05충청남도 태안군 태안읍 서해로 1952-16 태안군보건의료원2018-02-27
82728273계룡시사토토사>보통토사도로0.02017년 금암동 도로환경개선공사2018-04-11충청남도 계룡시 계룡대로 320 (금암동)2018-01-25
82738274서천군사토토사>보통토사기타938.0서천군 야구장 조성사업2018-03-10충청남도 서천군 서천읍 서천로232번길 69-2 사곡 체육공원2018-01-24
82748275아산시사토토사>보통토사도로0.0아산신도시 해제지역 연계교통망 구축사업 남북축 도로개설공사2018-09-01충청남도 아산시 탕정면 선문로350번길 372018-01-22
82758276천안시사토토사>고사점토 및 자갈 섞인 토사기타0.0북면 매송리 구거 수해복구공사2018-03-05충청남도 천안시 동남구 북면 매송6길 34-1 매송리 768 인근2018-01-18
82768277계룡시사토토사>보통토사도로731.0유동리 도시계획도로(소로1-14호)개설공사2018-03-26충청남도 계룡시 엄사면 배나무골길 402018-01-08
82778278천안시사토토사>보통토사도로147.0청수지구 공영노외주차장 조성사업2017-12-12충청남도 천안시 서북구 직산읍 군서1길 59-52017-12-12
82788279천안시사토토사>보통토사도로267.0청수지구 공영노외주차장 조성사업2017-12-12충청남도 천안시 동남구 단대로 107-1 (신부동)2017-12-12
82798280천안시사토토사>보통토사기타590.0청수지구 공영노외주차장 조성사업2017-12-09충남 천안시 동남구 청당동 4782017-12-07
82808281천안시사토토사>보통토사하천457.0남산세천 소규모위험시설 정비사업(2구간)2017-11-20충남 천안시 서북구 직산읍 남산리 191-12017-11-27