Overview

Dataset statistics

Number of variables10
Number of observations229
Missing cells7
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.1 KiB
Average record size in memory85.6 B

Variable types

Numeric4
Text4
DateTime1
Categorical1

Dataset

Description시흥도시공사가 조달청 "나라장터"에서 계약한 500만원 이상의 물품, 공사, 용역 현황입니다. 본 자료는 온라인공매시스템 또는 대한민국 조달청 나라장터 등에서도 조회가 가능합니다. 계약시기 및 지출액 등이 기재되어 있습니다.
Author시흥도시공사
URLhttps://www.data.go.kr/data/15098959/fileData.do

Alerts

연번 is highly overall correlated with 해당연도High correlation
해당연도 is highly overall correlated with 연번High correlation
품명 has 7 (3.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:55:10.075683
Analysis finished2024-03-14 14:55:16.224303
Duration6.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct229
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115
Minimum1
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-03-14T23:55:16.422221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.4
Q158
median115
Q3172
95-th percentile217.6
Maximum229
Range228
Interquartile range (IQR)114

Descriptive statistics

Standard deviation66.250786
Coefficient of variation (CV)0.57609379
Kurtosis-1.2
Mean115
Median Absolute Deviation (MAD)57
Skewness0
Sum26335
Variance4389.1667
MonotonicityStrictly increasing
2024-03-14T23:55:16.843940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
145 1
 
0.4%
147 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
Other values (219) 219
95.6%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%

문서번호
Text

Distinct107
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-14T23:55:17.696713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length10.532751
Min length9

Characters and Unicode

Total characters2412
Distinct characters69
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)27.5%

Sample

1st row어울림1팀-265
2nd row어울림2팀-317
3rd row어울림2팀-500
4th row교통사업팀-624
5th row교통사업팀-622
ValueCountFrequency (%)
공공개발2부-683 13
 
5.7%
건축사업팀-1907 11
 
4.8%
공공개발2부-2196 8
 
3.5%
공공개발2부-2222 8
 
3.5%
공공개발2부-2274 7
 
3.1%
건축사업팀-1066 7
 
3.1%
공공개발2부-680철근 7
 
3.1%
공공개발2부-680레미콘 5
 
2.2%
공공개발2부-1237 5
 
2.2%
건축사업팀-747철강 5
 
2.2%
Other values (97) 153
66.8%
2024-03-14T23:55:18.982095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 294
 
12.2%
공 254
 
10.5%
- 229
 
9.5%
부 161
 
6.7%
1 138
 
5.7%
발 128
 
5.3%
개 128
 
5.3%
7 92
 
3.8%
0 89
 
3.7%
6 81
 
3.4%
Other values (59) 818
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1202
49.8%
Decimal Number 977
40.5%
Dash Punctuation 229
 
9.5%
Lowercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 254
21.1%
부 161
13.4%
발 128
10.6%
개 128
10.6%
팀 66
 
5.5%
업 56
 
4.7%
사 56
 
4.7%
건 51
 
4.2%
축 45
 
3.7%
경 27
 
2.2%
Other values (44) 230
19.1%
Decimal Number
ValueCountFrequency (%)
2 294
30.1%
1 138
14.1%
7 92
 
9.4%
0 89
 
9.1%
6 81
 
8.3%
9 65
 
6.7%
8 62
 
6.3%
3 60
 
6.1%
4 58
 
5.9%
5 38
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
f 1
25.0%
n 1
25.0%
t 1
25.0%
q 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 229
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1206
50.0%
Hangul 1202
49.8%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 254
21.1%
부 161
13.4%
발 128
10.6%
개 128
10.6%
팀 66
 
5.5%
업 56
 
4.7%
사 56
 
4.7%
건 51
 
4.2%
축 45
 
3.7%
경 27
 
2.2%
Other values (44) 230
19.1%
Common
ValueCountFrequency (%)
2 294
24.4%
- 229
19.0%
1 138
11.4%
7 92
 
7.6%
0 89
 
7.4%
6 81
 
6.7%
9 65
 
5.4%
8 62
 
5.1%
3 60
 
5.0%
4 58
 
4.8%
Latin
ValueCountFrequency (%)
f 1
25.0%
n 1
25.0%
t 1
25.0%
q 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1210
50.2%
Hangul 1202
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 294
24.3%
- 229
18.9%
1 138
11.4%
7 92
 
7.6%
0 89
 
7.4%
6 81
 
6.7%
9 65
 
5.4%
8 62
 
5.1%
3 60
 
5.0%
4 58
 
4.8%
Other values (5) 42
 
3.5%
Hangul
ValueCountFrequency (%)
공 254
21.1%
부 161
13.4%
발 128
10.6%
개 128
10.6%
팀 66
 
5.5%
업 56
 
4.7%
사 56
 
4.7%
건 51
 
4.2%
축 45
 
3.7%
경 27
 
2.2%
Other values (44) 230
19.1%

품명
Text

MISSING 

Distinct85
Distinct (%)38.3%
Missing7
Missing (%)3.1%
Memory size1.9 KiB
2024-03-14T23:55:19.683210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length5.8738739
Min length2

Characters and Unicode

Total characters1304
Distinct characters204
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)16.7%

Sample

1st row제습기
2nd row무정전전원장치
3rd row스피커
4th row항온항습기
5th row무정전전원장치
ValueCountFrequency (%)
레미콘 13
 
5.9%
냉난방공조공사 11
 
5.0%
방화벽장치 8
 
3.6%
배전반 8
 
3.6%
금속제울타리 8
 
3.6%
단체보험 8
 
3.6%
덱플레이트 6
 
2.7%
전동기제어반 6
 
2.7%
이형철강 5
 
2.3%
영상감시장치 5
 
2.3%
Other values (75) 144
64.9%
2024-03-14T23:55:20.634634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 42
 
3.2%
장 40
 
3.1%
치 36
 
2.8%
기 31
 
2.4%
방 31
 
2.4%
전 30
 
2.3%
이 28
 
2.1%
레 27
 
2.1%
공 27
 
2.1%
조 26
 
2.0%
Other values (194) 986
75.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1294
99.2%
Uppercase Letter 9
 
0.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 42
 
3.2%
장 40
 
3.1%
치 36
 
2.8%
기 31
 
2.4%
방 31
 
2.4%
전 30
 
2.3%
이 28
 
2.2%
레 27
 
2.1%
공 27
 
2.1%
조 26
 
2.0%
Other values (190) 976
75.4%
Uppercase Letter
ValueCountFrequency (%)
E 3
33.3%
L 3
33.3%
D 3
33.3%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1294
99.2%
Latin 9
 
0.7%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 42
 
3.2%
장 40
 
3.1%
치 36
 
2.8%
기 31
 
2.4%
방 31
 
2.4%
전 30
 
2.3%
이 28
 
2.2%
레 27
 
2.1%
공 27
 
2.1%
조 26
 
2.0%
Other values (190) 976
75.4%
Latin
ValueCountFrequency (%)
E 3
33.3%
L 3
33.3%
D 3
33.3%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1294
99.2%
ASCII 10
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 42
 
3.2%
장 40
 
3.1%
치 36
 
2.8%
기 31
 
2.4%
방 31
 
2.4%
전 30
 
2.3%
이 28
 
2.2%
레 27
 
2.1%
공 27
 
2.1%
조 26
 
2.0%
Other values (190) 976
75.4%
ASCII
ValueCountFrequency (%)
E 3
30.0%
L 3
30.0%
D 3
30.0%
, 1
 
10.0%

물품분류번호
Real number (ℝ)

Distinct85
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41696627
Minimum24101601
Maximum84131699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-03-14T23:55:20.866795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24101601
5-th percentile25505834
Q130152001
median40101602
Q345111616
95-th percentile72151299
Maximum84131699
Range60030098
Interquartile range (IQR)14959615

Descriptive statistics

Standard deviation14168684
Coefficient of variation (CV)0.33980407
Kurtosis2.0527306
Mean41696627
Median Absolute Deviation (MAD)9909706
Skewness1.4900589
Sum9.5485276 × 109
Variance2.007516 × 1014
MonotonicityNot monotonic
2024-03-14T23:55:21.113206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30111505 13
 
5.7%
30101619 12
 
5.2%
72151299 11
 
4.8%
39121103 8
 
3.5%
30152001 8
 
3.5%
84131699 8
 
3.5%
43222501 8
 
3.5%
39121104 6
 
2.6%
30191896 6
 
2.6%
24101689 5
 
2.2%
Other values (75) 144
62.9%
ValueCountFrequency (%)
24101601 3
 
1.3%
24101689 5
 
2.2%
24111810 2
 
0.9%
25101990 2
 
0.9%
26111601 1
 
0.4%
26111607 4
 
1.7%
30101619 12
5.2%
30111505 13
5.7%
30111597 2
 
0.9%
30111601 1
 
0.4%
ValueCountFrequency (%)
84131699 8
3.5%
81111513 3
 
1.3%
72151299 11
4.8%
56122004 1
 
0.4%
56122002 2
 
0.9%
56112105 1
 
0.4%
56101507 2
 
0.9%
52161551 1
 
0.4%
52161547 1
 
0.4%
52161545 2
 
0.9%

업체명
Text

Distinct88
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-14T23:55:22.004229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length9.1310044
Min length4

Characters and Unicode

Total characters2091
Distinct characters174
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

Unique44 ?
Unique (%)19.2%

Sample

1st row주식회사 나우이엘
2nd row대농산업전기 주식회사
3rd row주식회사 임산업
4th row(주)에이알
5th row세방전기 주식회사
ValueCountFrequency (%)
주식회사 103
30.0%
주)원방엔지니어링 18
 
5.2%
경인레미콘사업협동조합 13
 
3.8%
엘지전자 10
 
2.9%
은성화학주식회사 10
 
2.9%
주 9
 
2.6%
동국제강 7
 
2.0%
에코아이넷(주 7
 
2.0%
디라직 6
 
1.7%
디앤에프 6
 
1.7%
Other values (81) 154
44.9%
2024-03-14T23:55:23.162910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 208
 
9.9%
사 143
 
6.8%
회 125
 
6.0%
식 121
 
5.8%
114
 
5.5%
( 86
 
4.1%
) 86
 
4.1%
이 49
 
2.3%
지 40
 
1.9%
아 35
 
1.7%
Other values (164) 1084
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1801
86.1%
Space Separator 114
 
5.5%
Open Punctuation 86
 
4.1%
Close Punctuation 86
 
4.1%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 208
 
11.5%
사 143
 
7.9%
회 125
 
6.9%
식 121
 
6.7%
이 49
 
2.7%
지 40
 
2.2%
아 35
 
1.9%
에 33
 
1.8%
스 32
 
1.8%
업 31
 
1.7%
Other values (160) 984
54.6%
Space Separator
ValueCountFrequency (%)
114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Other Punctuation
ValueCountFrequency (%)
& 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1801
86.1%
Common 290
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 208
 
11.5%
사 143
 
7.9%
회 125
 
6.9%
식 121
 
6.7%
이 49
 
2.7%
지 40
 
2.2%
아 35
 
1.9%
에 33
 
1.8%
스 32
 
1.8%
업 31
 
1.7%
Other values (160) 984
54.6%
Common
ValueCountFrequency (%)
114
39.3%
( 86
29.7%
) 86
29.7%
& 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1801
86.1%
ASCII 290
 
13.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 208
 
11.5%
사 143
 
7.9%
회 125
 
6.9%
식 121
 
6.7%
이 49
 
2.7%
지 40
 
2.2%
아 35
 
1.9%
에 33
 
1.8%
스 32
 
1.8%
업 31
 
1.7%
Other values (160) 984
54.6%
ASCII
ValueCountFrequency (%)
114
39.3%
( 86
29.7%
) 86
29.7%
& 4
 
1.4%

단가
Real number (ℝ)

Distinct205
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10851865
Minimum60
Maximum1.81 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-03-14T23:55:23.418138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile16296
Q1210540
median1257000
Q311280000
95-th percentile48543600
Maximum1.81 × 108
Range1.8099994 × 108
Interquartile range (IQR)11069460

Descriptive statistics

Standard deviation24124267
Coefficient of variation (CV)2.2230525
Kurtosis20.810221
Mean10851865
Median Absolute Deviation (MAD)1239810
Skewness4.1782878
Sum2.4850771 × 109
Variance5.8198024 × 1014
MonotonicityNot monotonic
2024-03-14T23:55:23.722124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1093400 4
 
1.7%
1100000 4
 
1.7%
14300000 3
 
1.3%
990000 2
 
0.9%
851290 2
 
0.9%
42000 2
 
0.9%
1280000 2
 
0.9%
720000 2
 
0.9%
247500 2
 
0.9%
870000 2
 
0.9%
Other values (195) 204
89.1%
ValueCountFrequency (%)
60 1
0.4%
77 1
0.4%
320 1
0.4%
4760 1
0.4%
7270 1
0.4%
13220 1
0.4%
13500 1
0.4%
13600 1
0.4%
13800 1
0.4%
14700 1
0.4%
ValueCountFrequency (%)
181000000 1
0.4%
161600000 1
0.4%
116400000 1
0.4%
103322000 1
0.4%
102514850 1
0.4%
100640000 1
0.4%
99860640 1
0.4%
72653770 1
0.4%
69850000 1
0.4%
55661000 1
0.4%

수량
Text

Distinct86
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-14T23:55:24.488411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length1.8209607
Min length1

Characters and Unicode

Total characters417
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)27.1%

Sample

1st row4
2nd row1
3rd row6
4th row1
5th row1
ValueCountFrequency (%)
1 73
31.9%
2 14
 
6.1%
8 9
 
3.9%
4 8
 
3.5%
6 7
 
3.1%
5 7
 
3.1%
10 7
 
3.1%
7 6
 
2.6%
3 5
 
2.2%
15 3
 
1.3%
Other values (76) 90
39.3%
2024-03-14T23:55:25.843533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 129
30.9%
2 51
 
12.2%
3 36
 
8.6%
4 34
 
8.2%
6 32
 
7.7%
8 30
 
7.2%
0 29
 
7.0%
5 24
 
5.8%
7 24
 
5.8%
9 19
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 408
97.8%
Other Punctuation 9
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 129
31.6%
2 51
 
12.5%
3 36
 
8.8%
4 34
 
8.3%
6 32
 
7.8%
8 30
 
7.4%
0 29
 
7.1%
5 24
 
5.9%
7 24
 
5.9%
9 19
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 417
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 129
30.9%
2 51
 
12.2%
3 36
 
8.6%
4 34
 
8.2%
6 32
 
7.7%
8 30
 
7.2%
0 29
 
7.0%
5 24
 
5.8%
7 24
 
5.8%
9 19
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 417
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 129
30.9%
2 51
 
12.2%
3 36
 
8.6%
4 34
 
8.2%
6 32
 
7.7%
8 30
 
7.2%
0 29
 
7.0%
5 24
 
5.8%
7 24
 
5.8%
9 19
 
4.6%

금액
Real number (ℝ)

Distinct217
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32155366
Minimum5000000
Maximum6.061194 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-03-14T23:55:26.193828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5000000
5-th percentile5340000
Q17800000
median14003940
Q327500000
95-th percentile1.1389156 × 108
Maximum6.061194 × 108
Range6.011194 × 108
Interquartile range (IQR)19700000

Descriptive statistics

Standard deviation61742113
Coefficient of variation (CV)1.9201185
Kurtosis38.272172
Mean32155366
Median Absolute Deviation (MAD)7003940
Skewness5.4104309
Sum7.3635788 × 109
Variance3.8120885 × 1015
MonotonicityNot monotonic
2024-03-14T23:55:26.452843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14300000 3
 
1.3%
7200000 3
 
1.3%
10240000 2
 
0.9%
7700000 2
 
0.9%
6600000 2
 
0.9%
20800000 2
 
0.9%
24750000 2
 
0.9%
5590000 2
 
0.9%
15840000 2
 
0.9%
5000000 2
 
0.9%
Other values (207) 207
90.4%
ValueCountFrequency (%)
5000000 2
0.9%
5005000 1
0.4%
5033000 1
0.4%
5084400 1
0.4%
5120000 1
0.4%
5141000 1
0.4%
5175000 1
0.4%
5193000 1
0.4%
5278000 1
0.4%
5280000 1
0.4%
ValueCountFrequency (%)
606119400 1
0.4%
318000000 1
0.4%
317755160 1
0.4%
308380349 1
0.4%
264240884 1
0.4%
201280000 1
0.4%
182000000 1
0.4%
181000000 1
0.4%
161600000 1
0.4%
154635442 1
0.4%

요청일자
Date

Distinct83
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2021-01-27 00:00:00
Maximum2023-12-28 00:00:00
2024-03-14T23:55:26.707242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:26.944669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

해당연도
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2022
153 
2021
61 
2023
 
15

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2022 153
66.8%
2021 61
 
26.6%
2023 15
 
6.6%

Length

2024-03-14T23:55:27.220982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:55:27.521653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 153
66.8%
2021 61
 
26.6%
2023 15
 
6.6%

Interactions

2024-03-14T23:55:14.456393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:11.456669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:12.430806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:13.424991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:14.699558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:11.685722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:12.666169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:13.674058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:14.949387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:11.927902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:12.911246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:13.933650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:15.212121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:12.180997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:13.174438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:55:14.198514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:55:27.724418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번품명물품분류번호업체명단가수량금액요청일자해당연도
연번1.0000.9240.5790.9480.1930.4590.0850.9940.904
품명0.9241.0001.0000.9980.5240.0000.0000.9900.797
물품분류번호0.5791.0001.0000.9900.3380.7060.2900.9510.460
업체명0.9480.9980.9901.0000.8980.0000.0000.9970.875
단가0.1930.5240.3380.8981.0000.0000.6280.9510.506
수량0.4590.0000.7060.0000.0001.0000.9260.0000.000
금액0.0850.0000.2900.0000.6280.9261.0000.0000.000
요청일자0.9940.9900.9510.9970.9510.0000.0001.0001.000
해당연도0.9040.7970.4600.8750.5060.0000.0001.0001.000
2024-03-14T23:55:27.924160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번물품분류번호단가금액해당연도
연번1.0000.246-0.011-0.3050.846
물품분류번호0.2461.0000.247-0.2920.326
단가-0.0110.2471.0000.2180.255
금액-0.305-0.2920.2181.0000.000
해당연도0.8460.3260.2550.0001.000

Missing values

2024-03-14T23:55:15.567932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:55:16.043610image/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

연번문서번호품명물품분류번호업체명단가수량금액요청일자해당연도
01어울림1팀-265제습기40101902주식회사 나우이엘25600004102400002021-01-272021
12어울림2팀-317무정전전원장치39121011대농산업전기 주식회사5000000150000002021-02-022021
23어울림2팀-500스피커52161512주식회사 임산업901650654099002021-02-192021
34교통사업팀-624항온항습기40101715(주)에이알165400001165400002021-02-232021
45교통사업팀-622무정전전원장치39121011세방전기 주식회사197160001197160002021-02-232021
56월곶사업팀-232금속제울타리30152001주식회사 열린아트115000105120750002021-03-042021
67경영정보팀-675사무용소프트웨어43231513(주)블루포트2105403063162002021-03-082021
78그린센터팀-884쓰레기수거용트럭25101990대경특장 주식회사18100000011810000002021-03-252021
89경영정보팀-1054트랜잭션보안및바이러스보호소프트웨어43233205주식회사 지란지교데이터289000001289000002021-04-152021
910경영정보팀-1054트랜잭션보안및바이러스보호소프트웨어43233205주식회사 지란지교데이터275000001275000002021-04-152021
연번문서번호품명물품분류번호업체명단가수량금액요청일자해당연도
219220건설사업1부-1013디지털비디오레코더52161545에코아이넷(주)5455000154550002023-05-232023
220221재난안전부-1281단체보험84131699삼성화재해상보험 주식회사189396901189396902023-05-262023
221222재난안전부-1281단체보험84131699메리츠화재해상보험주식회사293587501293587502023-05-262023
222223재난안전부-1281단체보험84131699(주)케이비손해보험10251485011025148502023-05-262023
223224건설사업1부-1704책소독기46182497선경산업8000000180000002023-08-032023
224225경영지원부-2776클라우드서비스81111513지니언스 주식회사158400001158400002023-08-082023
225226경영지원부-2883클라우드서비스81111513지니언스 주식회사158400001158400002023-08-082023
226227교통사업부-5090컴퓨터서버43211501주식회사 쓰리에스코어6470000164700002023-09-112023
227228관광사업tf-115방화벽장치43222501주식회사 시스원5141000151410002023-11-272023
228229경영지원부-4768클라우드서비스81111513지니언스 주식회사388080001388080002023-12-282023