Overview

Dataset statistics

Number of variables24
Number of observations212
Missing cells1869
Missing cells (%)36.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.6 KiB
Average record size in memory205.6 B

Variable types

Categorical7
Text8
Numeric9

Dataset

Description공공구매정보망 리츠 관련 공고제품에 대한 데이터를 개방합니다. 사업명, 현장명, 제품명, 공고방법, 관련제품들, 추정가격합, 세부품목에 대한 번호, 품명 등을 제공합니다.
Author(주)중소기업유통센터
URLhttps://www.data.go.kr/data/15072176/fileData.do

Alerts

세부품명_2 is highly imbalanced (64.2%)Imbalance
추천조합번호_3 is highly imbalanced (92.4%)Imbalance
세부품명번호_4 is highly imbalanced (92.4%)Imbalance
물품추정가격_4 is highly imbalanced (93.5%)Imbalance
추천조합번호_1 has 121 (57.1%) missing valuesMissing
세부품명번호_2 has 167 (78.8%) missing valuesMissing
물품추정가격_2 has 167 (78.8%) missing valuesMissing
추천조합번호_2 has 198 (93.4%) missing valuesMissing
추천조합명_2 has 198 (93.4%) missing valuesMissing
세부품명번호_3 has 200 (94.3%) missing valuesMissing
세부품명_3 has 200 (94.3%) missing valuesMissing
물품추정가격_3 has 200 (94.3%) missing valuesMissing
추천조합명_3 has 209 (98.6%) missing valuesMissing
세부품명_4 has 209 (98.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:04:46.979522
Analysis finished2023-12-12 10:04:47.585279
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Categorical

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2018000000000
101 
2019000000000
63 
2017000000000
37 
2020000000000
11 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020000000000
2nd row2020000000000
3rd row2020000000000
4th row2020000000000
5th row2020000000000

Common Values

ValueCountFrequency (%)
2018000000000 101
47.6%
2019000000000 63
29.7%
2017000000000 37
 
17.5%
2020000000000 11
 
5.2%

Length

2023-12-12T19:04:47.646395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:04:47.775012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018000000000 101
47.6%
2019000000000 63
29.7%
2017000000000 37
 
17.5%
2020000000000 11
 
5.2%

사업명_현장명
Text

Distinct70
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T19:04:48.000829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length20.721698
Min length6

Characters and Unicode

Total characters4393
Distinct characters93
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)16.0%

Sample

1st row(NHF제16호)원주흥업 B-1BL 아파트 건설공사 2공구
2nd row(NHF제16호)원주흥업 B-1BL 아파트 건설공사 2공구
3rd row(NHF제16호)원주흥업 B-1BL 아파트 건설공사 2공구
4th row(NHF제16호)원주흥업 B-1BL 아파트 건설공사 2공구
5th row(NHF제16호)원주흥업 B-1BL 아파트 건설공사 2공구
ValueCountFrequency (%)
아파트 110
 
14.6%
건설공사 99
 
13.1%
1공구 47
 
6.2%
전주효천 32
 
4.2%
a3bl 32
 
4.2%
2공구 31
 
4.1%
아파트건설공사 23
 
3.1%
s-1bl 20
 
2.7%
a-1bl 20
 
2.7%
의정부 20
 
2.7%
Other values (79) 320
42.4%
2023-12-12T19:04:48.536000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
545
 
12.4%
공 365
 
8.3%
B 230
 
5.2%
1 187
 
4.3%
L 186
 
4.2%
파 160
 
3.6%
트 160
 
3.6%
아 160
 
3.6%
사 152
 
3.5%
설 150
 
3.4%
Other values (83) 2098
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2555
58.2%
Uppercase Letter 627
 
14.3%
Space Separator 545
 
12.4%
Decimal Number 434
 
9.9%
Dash Punctuation 107
 
2.4%
Close Punctuation 55
 
1.3%
Open Punctuation 55
 
1.3%
Lowercase Letter 15
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 365
 
14.3%
파 160
 
6.3%
트 160
 
6.3%
아 160
 
6.3%
사 152
 
5.9%
설 150
 
5.9%
건 150
 
5.9%
구 143
 
5.6%
고 103
 
4.0%
천 64
 
2.5%
Other values (57) 948
37.1%
Decimal Number
ValueCountFrequency (%)
1 187
43.1%
2 74
 
17.1%
3 65
 
15.0%
4 40
 
9.2%
5 19
 
4.4%
6 17
 
3.9%
9 15
 
3.5%
7 9
 
2.1%
8 5
 
1.2%
0 3
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
B 230
36.7%
L 186
29.7%
A 94
15.0%
S 69
 
11.0%
F 16
 
2.6%
H 16
 
2.6%
N 16
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
a 5
33.3%
b 5
33.3%
l 5
33.3%
Close Punctuation
ValueCountFrequency (%)
) 50
90.9%
] 5
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 50
90.9%
[ 5
 
9.1%
Space Separator
ValueCountFrequency (%)
545
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2555
58.2%
Common 1196
27.2%
Latin 642
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 365
 
14.3%
파 160
 
6.3%
트 160
 
6.3%
아 160
 
6.3%
사 152
 
5.9%
설 150
 
5.9%
건 150
 
5.9%
구 143
 
5.6%
고 103
 
4.0%
천 64
 
2.5%
Other values (57) 948
37.1%
Common
ValueCountFrequency (%)
545
45.6%
1 187
 
15.6%
- 107
 
8.9%
2 74
 
6.2%
3 65
 
5.4%
) 50
 
4.2%
( 50
 
4.2%
4 40
 
3.3%
5 19
 
1.6%
6 17
 
1.4%
Other values (6) 42
 
3.5%
Latin
ValueCountFrequency (%)
B 230
35.8%
L 186
29.0%
A 94
14.6%
S 69
 
10.7%
F 16
 
2.5%
H 16
 
2.5%
N 16
 
2.5%
a 5
 
0.8%
b 5
 
0.8%
l 5
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2555
58.2%
ASCII 1838
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
545
29.7%
B 230
12.5%
1 187
 
10.2%
L 186
 
10.1%
- 107
 
5.8%
A 94
 
5.1%
2 74
 
4.0%
S 69
 
3.8%
3 65
 
3.5%
) 50
 
2.7%
Other values (16) 231
12.6%
Hangul
ValueCountFrequency (%)
공 365
 
14.3%
파 160
 
6.3%
트 160
 
6.3%
아 160
 
6.3%
사 152
 
5.9%
설 150
 
5.9%
건 150
 
5.9%
구 143
 
5.6%
고 103
 
4.0%
천 64
 
2.5%
Other values (57) 948
37.1%

제품명
Text

Distinct172
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T19:04:48.813601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length10.523585
Min length2

Characters and Unicode

Total characters2231
Distinct characters214
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)69.8%

Sample

1st row제습기
2nd row금속제창
3rd row수도미터
4th row항온항습기
5th row송풍기
ValueCountFrequency (%)
및 21
 
4.8%
구매 17
 
3.9%
납품 17
 
3.9%
고산 13
 
3.0%
의정부 13
 
3.0%
건설공사 12
 
2.8%
아파트 11
 
2.5%
리츠구매공고알림 10
 
2.3%
s4bl 8
 
1.8%
2공구 7
 
1.6%
Other values (194) 306
70.3%
2023-12-12T19:04:49.260214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
226
 
10.1%
공 80
 
3.6%
구 69
 
3.1%
기 48
 
2.2%
B 46
 
2.1%
사 45
 
2.0%
L 39
 
1.7%
트 35
 
1.6%
매 33
 
1.5%
고 32
 
1.4%
Other values (204) 1578
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1669
74.8%
Space Separator 226
 
10.1%
Uppercase Letter 190
 
8.5%
Decimal Number 70
 
3.1%
Other Punctuation 26
 
1.2%
Open Punctuation 21
 
0.9%
Close Punctuation 21
 
0.9%
Dash Punctuation 5
 
0.2%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 80
 
4.8%
구 69
 
4.1%
기 48
 
2.9%
사 45
 
2.7%
트 35
 
2.1%
매 33
 
2.0%
고 32
 
1.9%
리 30
 
1.8%
화 29
 
1.7%
콘 29
 
1.7%
Other values (164) 1239
74.2%
Uppercase Letter
ValueCountFrequency (%)
B 46
24.2%
L 39
20.5%
C 22
11.6%
S 18
 
9.5%
V 17
 
8.9%
P 17
 
8.9%
A 8
 
4.2%
M 5
 
2.6%
D 5
 
2.6%
T 3
 
1.6%
Other values (8) 10
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 17
24.3%
2 13
18.6%
5 10
14.3%
3 9
12.9%
4 8
11.4%
0 7
10.0%
6 3
 
4.3%
7 2
 
2.9%
8 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 19
73.1%
/ 4
 
15.4%
# 2
 
7.7%
. 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
v 1
33.3%
c 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 20
95.2%
[ 1
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 20
95.2%
] 1
 
4.8%
Space Separator
ValueCountFrequency (%)
226
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1669
74.8%
Common 369
 
16.5%
Latin 193
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 80
 
4.8%
구 69
 
4.1%
기 48
 
2.9%
사 45
 
2.7%
트 35
 
2.1%
매 33
 
2.0%
고 32
 
1.9%
리 30
 
1.8%
화 29
 
1.7%
콘 29
 
1.7%
Other values (164) 1239
74.2%
Latin
ValueCountFrequency (%)
B 46
23.8%
L 39
20.2%
C 22
11.4%
S 18
 
9.3%
V 17
 
8.8%
P 17
 
8.8%
A 8
 
4.1%
M 5
 
2.6%
D 5
 
2.6%
T 3
 
1.6%
Other values (11) 13
 
6.7%
Common
ValueCountFrequency (%)
226
61.2%
( 20
 
5.4%
) 20
 
5.4%
, 19
 
5.1%
1 17
 
4.6%
2 13
 
3.5%
5 10
 
2.7%
3 9
 
2.4%
4 8
 
2.2%
0 7
 
1.9%
Other values (9) 20
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1669
74.8%
ASCII 562
 
25.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
226
40.2%
B 46
 
8.2%
L 39
 
6.9%
C 22
 
3.9%
( 20
 
3.6%
) 20
 
3.6%
, 19
 
3.4%
S 18
 
3.2%
1 17
 
3.0%
V 17
 
3.0%
Other values (30) 118
21.0%
Hangul
ValueCountFrequency (%)
공 80
 
4.8%
구 69
 
4.1%
기 48
 
2.9%
사 45
 
2.7%
트 35
 
2.1%
매 33
 
2.0%
고 32
 
1.9%
리 30
 
1.8%
화 29
 
1.7%
콘 29
 
1.7%
Other values (164) 1239
74.2%

공고방법
Categorical

Distinct27
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
서면입찰공고
50 
홈페이지
47 
홈페이지 공고
18 
지명경쟁입찰
17 
경쟁입찰
11 
Other values (22)
69 

Length

Max length19
Median length17
Mean length6.0801887
Min length2

Unique

Unique9 ?
Unique (%)4.2%

Sample

1st row서면입찰공고
2nd row서면입찰공고
3rd row서면입찰 공고
4th row서면입찰공고
5th row서면입찰 공고

Common Values

ValueCountFrequency (%)
서면입찰공고 50
23.6%
홈페이지 47
22.2%
홈페이지 공고 18
 
8.5%
지명경쟁입찰 17
 
8.0%
경쟁입찰 11
 
5.2%
우편공고 11
 
5.2%
서면입찰 공고 11
 
5.2%
우편공고(전자우편 및 일반우편) 10
 
4.7%
온라인공고 5
 
2.4%
전자입찰 공고 4
 
1.9%
Other values (17) 28
13.2%

Length

2023-12-12T19:04:49.445110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
홈페이지 65
23.1%
서면입찰공고 50
17.8%
공고 37
13.2%
지명경쟁입찰 17
 
6.0%
서면입찰 15
 
5.3%
경쟁입찰 11
 
3.9%
우편공고 11
 
3.9%
우편공고(전자우편 11
 
3.9%
및 11
 
3.9%
일반우편 10
 
3.6%
Other values (22) 43
15.3%

관련제품들
Text

Distinct83
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T19:04:49.689557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length8.5330189
Min length2

Characters and Unicode

Total characters1809
Distinct characters159
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

Unique44 ?
Unique (%)20.8%

Sample

1st row제습기
2nd row금속제창
3rd row수도미터
4th row항온항습기
5th row송풍기
ValueCountFrequency (%)
콘크리트벽돌 15
 
5.5%
속빈콘크리트블록 13
 
4.8%
일반용경질폴리염화비닐관 12
 
4.4%
부스터펌프 12
 
4.4%
금속제창 11
 
4.0%
자동식소화기 11
 
4.0%
버터플라이밸브 10
 
3.7%
가정용싱크대 9
 
3.3%
수중펌프 9
 
3.3%
송풍기 9
 
3.3%
Other values (62) 161
59.2%
2023-12-12T19:04:50.097826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 71
 
3.9%
트 65
 
3.6%
크 64
 
3.5%
, 60
 
3.3%
60
 
3.3%
기 57
 
3.2%
콘 54
 
3.0%
화 49
 
2.7%
용 45
 
2.5%
수 36
 
2.0%
Other values (149) 1248
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1668
92.2%
Other Punctuation 60
 
3.3%
Space Separator 60
 
3.3%
Uppercase Letter 21
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 71
 
4.3%
트 65
 
3.9%
크 64
 
3.8%
기 57
 
3.4%
콘 54
 
3.2%
화 49
 
2.9%
용 45
 
2.7%
수 36
 
2.2%
전 32
 
1.9%
반 31
 
1.9%
Other values (144) 1164
69.8%
Uppercase Letter
ValueCountFrequency (%)
D 7
33.3%
E 7
33.3%
L 7
33.3%
Other Punctuation
ValueCountFrequency (%)
, 60
100.0%
Space Separator
ValueCountFrequency (%)
60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1668
92.2%
Common 120
 
6.6%
Latin 21
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 71
 
4.3%
트 65
 
3.9%
크 64
 
3.8%
기 57
 
3.4%
콘 54
 
3.2%
화 49
 
2.9%
용 45
 
2.7%
수 36
 
2.2%
전 32
 
1.9%
반 31
 
1.9%
Other values (144) 1164
69.8%
Latin
ValueCountFrequency (%)
D 7
33.3%
E 7
33.3%
L 7
33.3%
Common
ValueCountFrequency (%)
, 60
50.0%
60
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1668
92.2%
ASCII 141
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 71
 
4.3%
트 65
 
3.9%
크 64
 
3.8%
기 57
 
3.4%
콘 54
 
3.2%
화 49
 
2.9%
용 45
 
2.7%
수 36
 
2.2%
전 32
 
1.9%
반 31
 
1.9%
Other values (144) 1164
69.8%
ASCII
ValueCountFrequency (%)
, 60
42.6%
60
42.6%
D 7
 
5.0%
E 7
 
5.0%
L 7
 
5.0%

추정가격합
Real number (ℝ)

Distinct198
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9957667 × 108
Minimum1
Maximum7.0986822 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T19:04:50.271922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile550278
Q132165250
median68478734
Q31.5450574 × 108
95-th percentile1.590529 × 109
Maximum7.0986822 × 109
Range7.0986822 × 109
Interquartile range (IQR)1.2234049 × 108

Descriptive statistics

Standard deviation7.6935667 × 108
Coefficient of variation (CV)2.5681461
Kurtosis34.068235
Mean2.9957667 × 108
Median Absolute Deviation (MAD)46585734
Skewness5.1611335
Sum6.3510255 × 1010
Variance5.9190968 × 1017
MonotonicityNot monotonic
2023-12-12T19:04:50.480747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 3
 
1.4%
65000000 3
 
1.4%
65800000 3
 
1.4%
75931770 2
 
0.9%
550278 2
 
0.9%
15000000 2
 
0.9%
29743000 2
 
0.9%
73000000 2
 
0.9%
190000 2
 
0.9%
21416000 2
 
0.9%
Other values (188) 189
89.2%
ValueCountFrequency (%)
1 1
0.5%
569 1
0.5%
742 1
0.5%
39000 1
0.5%
46000 1
0.5%
63982 1
0.5%
190000 2
0.9%
191923 1
0.5%
300000 1
0.5%
550278 2
0.9%
ValueCountFrequency (%)
7098682174 1
0.5%
4202303271 1
0.5%
3600000000 1
0.5%
2860061233 1
0.5%
2629851223 1
0.5%
2535422384 1
0.5%
2454004763 1
0.5%
2454000763 1
0.5%
2234949595 1
0.5%
2159620666 1
0.5%

세부품명번호_1
Real number (ℝ)

Distinct59
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7147185 × 109
Minimum1.1111604 × 109
Maximum5.6121903 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T19:04:50.677455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1111604 × 109
5-th percentile2.6111601 × 109
Q13.0131503 × 109
median3.9121103 × 109
Q34.0151513 × 109
95-th percentile5.215165 × 109
Maximum5.6121903 × 109
Range4.5010299 × 109
Interquartile range (IQR)1.002001 × 109

Descriptive statistics

Standard deviation7.8351503 × 108
Coefficient of variation (CV)0.21092178
Kurtosis-0.0457258
Mean3.7147185 × 109
Median Absolute Deviation (MAD)7.0704991 × 108
Skewness0.25482913
Sum7.8752033 × 1011
Variance6.138958 × 1017
MonotonicityNot monotonic
2023-12-12T19:04:50.846627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3013160301 12
 
5.7%
4014218501 12
 
5.7%
3017169801 11
 
5.2%
4014162001 10
 
4.7%
4015156601 10
 
4.7%
5215165001 9
 
4.2%
4010160101 9
 
4.2%
4619160111 9
 
4.2%
3011159701 8
 
3.8%
2611160101 7
 
3.3%
Other values (49) 115
54.2%
ValueCountFrequency (%)
1111160401 1
 
0.5%
2411181001 5
2.4%
2611160101 7
3.3%
2611160701 2
 
0.9%
3010280201 4
1.9%
3010320101 1
 
0.5%
3010990201 3
 
1.4%
3011150501 5
2.4%
3011159701 8
3.8%
3012170202 1
 
0.5%
ValueCountFrequency (%)
5612190301 1
 
0.5%
5610153801 1
 
0.5%
5610153101 2
 
0.9%
5610151601 2
 
0.9%
5215165001 9
4.2%
4924159601 1
 
0.5%
4619160302 3
 
1.4%
4619160111 9
4.2%
4619160102 1
 
0.5%
4619160101 4
1.9%

세부품명_1
Text

Distinct60
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T19:04:51.170563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length6.1179245
Min length2

Characters and Unicode

Total characters1297
Distinct characters144
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)10.4%

Sample

1st row제습기
2nd row금속제창
3rd row수도미터
4th row항온항습기
5th row송풍기
ValueCountFrequency (%)
콘크리트벽돌 12
 
5.7%
일반용경질폴리염화비닐관 12
 
5.7%
금속제창 11
 
5.2%
버터플라이밸브 10
 
4.7%
부스터펌프 10
 
4.7%
가정용싱크대 9
 
4.2%
송풍기 9
 
4.2%
자동식소화기 9
 
4.2%
아스팔트콘크리트 8
 
3.8%
디젤발전기 7
 
3.3%
Other values (50) 115
54.2%
2023-12-12T19:04:51.703788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 53
 
4.1%
크 50
 
3.9%
트 46
 
3.5%
기 44
 
3.4%
콘 41
 
3.2%
화 38
 
2.9%
용 38
 
2.9%
터 26
 
2.0%
수 26
 
2.0%
경 24
 
1.9%
Other values (134) 911
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1282
98.8%
Uppercase Letter 15
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 53
 
4.1%
크 50
 
3.9%
트 46
 
3.6%
기 44
 
3.4%
콘 41
 
3.2%
화 38
 
3.0%
용 38
 
3.0%
터 26
 
2.0%
수 26
 
2.0%
경 24
 
1.9%
Other values (131) 896
69.9%
Uppercase Letter
ValueCountFrequency (%)
D 5
33.3%
E 5
33.3%
L 5
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1282
98.8%
Latin 15
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 53
 
4.1%
크 50
 
3.9%
트 46
 
3.6%
기 44
 
3.4%
콘 41
 
3.2%
화 38
 
3.0%
용 38
 
3.0%
터 26
 
2.0%
수 26
 
2.0%
경 24
 
1.9%
Other values (131) 896
69.9%
Latin
ValueCountFrequency (%)
D 5
33.3%
E 5
33.3%
L 5
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1282
98.8%
ASCII 15
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 53
 
4.1%
크 50
 
3.9%
트 46
 
3.6%
기 44
 
3.4%
콘 41
 
3.2%
화 38
 
3.0%
용 38
 
3.0%
터 26
 
2.0%
수 26
 
2.0%
경 24
 
1.9%
Other values (131) 896
69.9%
ASCII
ValueCountFrequency (%)
D 5
33.3%
E 5
33.3%
L 5
33.3%

물품추정가격_1
Real number (ℝ)

Distinct195
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6044742 × 108
Minimum1
Maximum7.0986822 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T19:04:51.910468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile550278
Q129743000
median60861871
Q31.3245742 × 108
95-th percentile1.3 × 109
Maximum7.0986822 × 109
Range7.0986822 × 109
Interquartile range (IQR)1.0271442 × 108

Descriptive statistics

Standard deviation6.909563 × 108
Coefficient of variation (CV)2.6529589
Kurtosis47.938782
Mean2.6044742 × 108
Median Absolute Deviation (MAD)40096930
Skewness5.9444914
Sum5.5214852 × 1010
Variance4.774206 × 1017
MonotonicityNot monotonic
2023-12-12T19:04:52.074937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000000 3
 
1.4%
65800000 3
 
1.4%
65000000 2
 
0.9%
190000 2
 
0.9%
170000000 2
 
0.9%
13930000 2
 
0.9%
1300000000 2
 
0.9%
75931770 2
 
0.9%
550278 2
 
0.9%
29743000 2
 
0.9%
Other values (185) 190
89.6%
ValueCountFrequency (%)
1 1
0.5%
35 1
0.5%
742 1
0.5%
39000 1
0.5%
46000 1
0.5%
63982 1
0.5%
142742 1
0.5%
190000 2
0.9%
300000 1
0.5%
550278 2
0.9%
ValueCountFrequency (%)
7098682174 1
0.5%
2860061233 1
0.5%
2629851223 1
0.5%
2535422384 1
0.5%
2454004763 1
0.5%
2454000763 1
0.5%
2234949595 1
0.5%
2159620666 1
0.5%
2065858579 1
0.5%
1323712000 1
0.5%

추천조합번호_1
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)41.8%
Missing121
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean196466.31
Minimum101000
Maximum804537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T19:04:52.239671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101000
5-th percentile104000
Q1108009
median200032
Q3200119
95-th percentile400471
Maximum804537
Range703537
Interquartile range (IQR)92110

Descriptive statistics

Standard deviation132294.57
Coefficient of variation (CV)0.67337027
Kurtosis13.088935
Mean196466.31
Median Absolute Deviation (MAD)170
Skewness3.385969
Sum17878434
Variance1.7501854 × 1010
MonotonicityNot monotonic
2023-12-12T19:04:52.420276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
200062 8
 
3.8%
108004 7
 
3.3%
200144 7
 
3.3%
200202 6
 
2.8%
200039 6
 
2.8%
200032 4
 
1.9%
200119 4
 
1.9%
121001 4
 
1.9%
200026 4
 
1.9%
200035 4
 
1.9%
Other values (28) 37
 
17.5%
(Missing) 121
57.1%
ValueCountFrequency (%)
101000 2
 
0.9%
101001 1
 
0.5%
101006 1
 
0.5%
104000 2
 
0.9%
104006 1
 
0.5%
106000 2
 
0.9%
106004 2
 
0.9%
106005 2
 
0.9%
108004 7
3.3%
108005 1
 
0.5%
ValueCountFrequency (%)
804537 2
 
0.9%
800913 1
 
0.5%
400492 1
 
0.5%
400471 2
 
0.9%
400436 1
 
0.5%
400402 1
 
0.5%
200202 6
2.8%
200151 1
 
0.5%
200144 7
3.3%
200119 4
1.9%

추천조합명_1
Categorical

Distinct39
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
121 
한국전기공업협동조합
 
8
한국PVC관공업협동조합
 
7
경기도콘크리트공업협동조합
 
7
한국주택가구협동조합
 
6
Other values (34)
63 

Length

Max length16
Median length4
Mean length7.3254717
Min length4

Unique

Unique19 ?
Unique (%)9.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 121
57.1%
한국전기공업협동조합 8
 
3.8%
한국PVC관공업협동조합 7
 
3.3%
경기도콘크리트공업협동조합 7
 
3.3%
한국주택가구협동조합 6
 
2.8%
한국펌프공업협동조합 6
 
2.8%
한국소방산업협동조합 4
 
1.9%
한국석재공업협동조합 4
 
1.9%
한국원심력콘크리트공업협동조합 4
 
1.9%
서울경인아스콘공업협동조합 4
 
1.9%
Other values (29) 41
 
19.3%

Length

2023-12-12T19:04:52.569579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 121
57.1%
한국전기공업협동조합 8
 
3.8%
한국pvc관공업협동조합 7
 
3.3%
경기도콘크리트공업협동조합 7
 
3.3%
한국주택가구협동조합 6
 
2.8%
한국펌프공업협동조합 6
 
2.8%
한국소방산업협동조합 4
 
1.9%
한국석재공업협동조합 4
 
1.9%
한국원심력콘크리트공업협동조합 4
 
1.9%
서울경인아스콘공업협동조합 4
 
1.9%
Other values (29) 41
 
19.3%

세부품명번호_2
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)46.7%
Missing167
Missing (%)78.8%
Infinite0
Infinite (%)0.0%
Mean3.9918684 × 109
Minimum3.0131502 × 109
Maximum5.6121903 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T19:04:52.715555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0131502 × 109
5-th percentile3.0131502 × 109
Q13.0131603 × 109
median4.0142396 × 109
Q34.6191601 × 109
95-th percentile5.6101528 × 109
Maximum5.6121903 × 109
Range2.5990401 × 109
Interquartile range (IQR)1.6059998 × 109

Descriptive statistics

Standard deviation8.084132 × 108
Coefficient of variation (CV)0.20251499
Kurtosis-0.3193929
Mean3.9918684 × 109
Median Absolute Deviation (MAD)6.049205 × 108
Skewness0.4946246
Sum1.7963408 × 1011
Variance6.535319 × 1017
MonotonicityNot monotonic
2023-12-12T19:04:52.852246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3013150204 10
 
4.7%
4015151301 4
 
1.9%
3013160301 3
 
1.4%
4619160101 3
 
1.4%
4014239601 2
 
0.9%
4619160111 2
 
0.9%
5610151601 2
 
0.9%
4619160301 2
 
0.9%
3912110606 2
 
0.9%
4014239604 2
 
0.9%
Other values (11) 13
 
6.1%
(Missing) 167
78.8%
ValueCountFrequency (%)
3013150204 10
4.7%
3013160301 3
 
1.4%
3911151501 1
 
0.5%
3912100101 1
 
0.5%
3912110303 1
 
0.5%
3912110401 2
 
0.9%
3912110606 2
 
0.9%
3913170605 1
 
0.5%
4014168801 1
 
0.5%
4014239601 2
 
0.9%
ValueCountFrequency (%)
5612190301 1
 
0.5%
5610153101 2
0.9%
5610151601 2
0.9%
4619160301 2
0.9%
4619160111 2
0.9%
4619160101 3
1.4%
4617162201 1
 
0.5%
4015156601 1
 
0.5%
4015151301 4
1.9%
4015150302 1
 
0.5%

세부품명_2
Categorical

IMBALANCE 

Distinct22
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
167 
속빈콘크리트블록
 
10
수중펌프
 
4
수동식소화기
 
3
콘크리트벽돌
 
3
Other values (17)
25 

Length

Max length15
Median length4
Mean length4.5801887
Min length2

Unique

Unique9 ?
Unique (%)4.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 167
78.8%
속빈콘크리트블록 10
 
4.7%
수중펌프 4
 
1.9%
수동식소화기 3
 
1.4%
콘크리트벽돌 3
 
1.4%
신발장 2
 
0.9%
장롱 2
 
0.9%
소방호스용노즐 2
 
0.9%
전동기제어반 2
 
0.9%
일반용경질폴리염화비닐이음관 2
 
0.9%
Other values (12) 15
 
7.1%

Length

2023-12-12T19:04:53.005697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 167
78.8%
속빈콘크리트블록 10
 
4.7%
수중펌프 4
 
1.9%
수동식소화기 3
 
1.4%
콘크리트벽돌 3
 
1.4%
일반용경질폴리염화비닐이음관 2
 
0.9%
자동식소화기 2
 
0.9%
집중표시제어장치 2
 
0.9%
일반용경질폴리염화비닐제부속품 2
 
0.9%
전동기제어반 2
 
0.9%
Other values (12) 15
 
7.1%

물품추정가격_2
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)95.6%
Missing167
Missing (%)78.8%
Infinite0
Infinite (%)0.0%
Mean1.6387031 × 108
Minimum534
Maximum2.3 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T19:04:53.147023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum534
5-th percentile387017.4
Q14656952
median13843000
Q384763439
95-th percentile9.215083 × 108
Maximum2.3 × 109
Range2.2999995 × 109
Interquartile range (IQR)80106487

Descriptive statistics

Standard deviation4.789521 × 108
Coefficient of variation (CV)2.9227509
Kurtosis14.958285
Mean1.6387031 × 108
Median Absolute Deviation (MAD)12843000
Skewness3.918193
Sum7.374164 × 109
Variance2.2939511 × 1017
MonotonicityNot monotonic
2023-12-12T19:04:53.322461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
10000000 2
 
0.9%
7486000 2
 
0.9%
10718915 1
 
0.5%
134795322 1
 
0.5%
75000000 1
 
0.5%
13568808 1
 
0.5%
216922443 1
 
0.5%
2136444692 1
 
0.5%
2000000 1
 
0.5%
13000000 1
 
0.5%
Other values (33) 33
 
15.6%
(Missing) 167
78.8%
ValueCountFrequency (%)
534 1
0.5%
39058 1
0.5%
300000 1
0.5%
735087 1
0.5%
858600 1
0.5%
1000000 1
0.5%
2000000 1
0.5%
2955580 1
0.5%
3869428 1
0.5%
4535440 1
0.5%
ValueCountFrequency (%)
2300000000 1
0.5%
2136444692 1
0.5%
1089385375 1
0.5%
250000000 1
0.5%
216922443 1
0.5%
198000000 1
0.5%
193426144 1
0.5%
134795322 1
0.5%
113175000 1
0.5%
112355000 1
0.5%

추천조합번호_2
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)64.3%
Missing198
Missing (%)93.4%
Infinite0
Infinite (%)0.0%
Mean139906.21
Minimum101000
Maximum200202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T19:04:53.457182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101000
5-th percentile101000.65
Q1108004
median108006
Q3200055.25
95-th percentile200202
Maximum200202
Range99202
Interquartile range (IQR)92051.25

Descriptive statistics

Standard deviation46644.88
Coefficient of variation (CV)0.33340106
Kurtosis-1.8348396
Mean139906.21
Median Absolute Deviation (MAD)3506
Skewness0.66061276
Sum1958687
Variance2.1757448 × 109
MonotonicityNot monotonic
2023-12-12T19:04:53.621397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
108004 5
 
2.4%
200202 2
 
0.9%
200144 1
 
0.5%
101000 1
 
0.5%
200062 1
 
0.5%
200035 1
 
0.5%
108008 1
 
0.5%
101001 1
 
0.5%
108013 1
 
0.5%
(Missing) 198
93.4%
ValueCountFrequency (%)
101000 1
 
0.5%
101001 1
 
0.5%
108004 5
2.4%
108008 1
 
0.5%
108013 1
 
0.5%
200035 1
 
0.5%
200062 1
 
0.5%
200144 1
 
0.5%
200202 2
 
0.9%
ValueCountFrequency (%)
200202 2
 
0.9%
200144 1
 
0.5%
200062 1
 
0.5%
200035 1
 
0.5%
108013 1
 
0.5%
108008 1
 
0.5%
108004 5
2.4%
101001 1
 
0.5%
101000 1
 
0.5%

추천조합명_2
Text

MISSING 

Distinct9
Distinct (%)64.3%
Missing198
Missing (%)93.4%
Memory size1.8 KiB
2023-12-12T19:04:53.867845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.857143
Min length10

Characters and Unicode

Total characters166
Distinct characters36
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)50.0%

Sample

1st row한국펌프공업협동조합
2nd row한국PVC관공업협동조합
3rd row대한가구산업협동조합연합회
4th row한국전기공업협동조합
5th row경기도콘크리트공업협동조합
ValueCountFrequency (%)
경기도콘크리트공업협동조합 5
35.7%
한국펌프공업협동조합 2
 
14.3%
한국pvc관공업협동조합 1
 
7.1%
대한가구산업협동조합연합회 1
 
7.1%
한국전기공업협동조합 1
 
7.1%
한국소방산업협동조합 1
 
7.1%
충북콘크리트공업협동조합 1
 
7.1%
서울경인가구공업협동조합 1
 
7.1%
인천콘크리트공업협동조합 1
 
7.1%
2023-12-12T19:04:54.221617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
합 15
 
9.0%
업 14
 
8.4%
협 14
 
8.4%
동 14
 
8.4%
조 14
 
8.4%
공 12
 
7.2%
콘 7
 
4.2%
크 7
 
4.2%
리 7
 
4.2%
트 7
 
4.2%
Other values (26) 55
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
98.2%
Uppercase Letter 3
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
합 15
 
9.2%
업 14
 
8.6%
협 14
 
8.6%
동 14
 
8.6%
조 14
 
8.6%
공 12
 
7.4%
콘 7
 
4.3%
크 7
 
4.3%
리 7
 
4.3%
트 7
 
4.3%
Other values (23) 52
31.9%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
C 1
33.3%
P 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
98.2%
Latin 3
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
합 15
 
9.2%
업 14
 
8.6%
협 14
 
8.6%
동 14
 
8.6%
조 14
 
8.6%
공 12
 
7.4%
콘 7
 
4.3%
크 7
 
4.3%
리 7
 
4.3%
트 7
 
4.3%
Other values (23) 52
31.9%
Latin
ValueCountFrequency (%)
V 1
33.3%
C 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
98.2%
ASCII 3
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
합 15
 
9.2%
업 14
 
8.6%
협 14
 
8.6%
동 14
 
8.6%
조 14
 
8.6%
공 12
 
7.4%
콘 7
 
4.3%
크 7
 
4.3%
리 7
 
4.3%
트 7
 
4.3%
Other values (23) 52
31.9%
ASCII
ValueCountFrequency (%)
V 1
33.3%
C 1
33.3%
P 1
33.3%

세부품명번호_3
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)83.3%
Missing200
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean4.0642285 × 109
Minimum3.9111515 × 109
Maximum4.6191601 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T19:04:54.328362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9111515 × 109
5-th percentile3.9111566 × 109
Q13.9121103 × 109
median3.9641605 × 109
Q34.0151519 × 109
95-th percentile4.6191601 × 109
Maximum4.6191601 × 109
Range7.080086 × 108
Interquartile range (IQR)1.0304162 × 108

Descriptive statistics

Standard deviation2.6365143 × 108
Coefficient of variation (CV)0.064871214
Kurtosis2.2578417
Mean4.0642285 × 109
Median Absolute Deviation (MAD)52050102
Skewness1.9055588
Sum4.8770741 × 1010
Variance6.9512079 × 1016
MonotonicityNot monotonic
2023-12-12T19:04:54.437460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4015150301 3
 
1.4%
4619160102 1
 
0.5%
4015156601 1
 
0.5%
3912110101 1
 
0.5%
4619160101 1
 
0.5%
3911151502 1
 
0.5%
3912110401 1
 
0.5%
3913170606 1
 
0.5%
3912110303 1
 
0.5%
3911160802 1
 
0.5%
(Missing) 200
94.3%
ValueCountFrequency (%)
3911151502 1
 
0.5%
3911160802 1
 
0.5%
3912110101 1
 
0.5%
3912110303 1
 
0.5%
3912110401 1
 
0.5%
3913170606 1
 
0.5%
4015150301 3
1.4%
4015156601 1
 
0.5%
4619160101 1
 
0.5%
4619160102 1
 
0.5%
ValueCountFrequency (%)
4619160102 1
 
0.5%
4619160101 1
 
0.5%
4015156601 1
 
0.5%
4015150301 3
1.4%
3913170606 1
 
0.5%
3912110401 1
 
0.5%
3912110303 1
 
0.5%
3912110101 1
 
0.5%
3911160802 1
 
0.5%
3911151502 1
 
0.5%

세부품명_3
Text

MISSING 

Distinct10
Distinct (%)83.3%
Missing200
Missing (%)94.3%
Memory size1.8 KiB
2023-12-12T19:04:54.587813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length7.5
Mean length6.3333333
Min length3

Characters and Unicode

Total characters76
Distinct characters45
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)75.0%

Sample

1st row소화전
2nd row다단벌류트펌프
3rd row부스터펌프
4th row분전반
5th row수동식소화기
ValueCountFrequency (%)
다단벌류트펌프 3
25.0%
소화전 1
 
8.3%
부스터펌프 1
 
8.3%
분전반 1
 
8.3%
수동식소화기 1
 
8.3%
led다운라이트 1
 
8.3%
전동기제어반 1
 
8.3%
파상형경질폴리에틸렌전선관 1
 
8.3%
배전함 1
 
8.3%
led보안등기구 1
 
8.3%
2023-12-12T19:04:54.854703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 5
 
6.6%
다 4
 
5.3%
트 4
 
5.3%
펌 4
 
5.3%
프 4
 
5.3%
벌 3
 
3.9%
류 3
 
3.9%
기 3
 
3.9%
단 3
 
3.9%
반 2
 
2.6%
Other values (35) 41
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70
92.1%
Uppercase Letter 6
 
7.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 5
 
7.1%
다 4
 
5.7%
트 4
 
5.7%
펌 4
 
5.7%
프 4
 
5.7%
벌 3
 
4.3%
류 3
 
4.3%
기 3
 
4.3%
단 3
 
4.3%
반 2
 
2.9%
Other values (32) 35
50.0%
Uppercase Letter
ValueCountFrequency (%)
E 2
33.3%
L 2
33.3%
D 2
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70
92.1%
Latin 6
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 5
 
7.1%
다 4
 
5.7%
트 4
 
5.7%
펌 4
 
5.7%
프 4
 
5.7%
벌 3
 
4.3%
류 3
 
4.3%
기 3
 
4.3%
단 3
 
4.3%
반 2
 
2.9%
Other values (32) 35
50.0%
Latin
ValueCountFrequency (%)
E 2
33.3%
L 2
33.3%
D 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70
92.1%
ASCII 6
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 5
 
7.1%
다 4
 
5.7%
트 4
 
5.7%
펌 4
 
5.7%
프 4
 
5.7%
벌 3
 
4.3%
류 3
 
4.3%
기 3
 
4.3%
단 3
 
4.3%
반 2
 
2.9%
Other values (32) 35
50.0%
ASCII
ValueCountFrequency (%)
E 2
33.3%
L 2
33.3%
D 2
33.3%

물품추정가격_3
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing200
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean40804295
Minimum10123
Maximum1.55 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T19:04:54.968790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10123
5-th percentile184892.65
Q19488702.8
median21568750
Q359551516
95-th percentile1.2138697 × 108
Maximum1.55 × 108
Range1.5498988 × 108
Interquartile range (IQR)50062814

Descriptive statistics

Standard deviation47752136
Coefficient of variation (CV)1.1702723
Kurtosis1.7571605
Mean40804295
Median Absolute Deviation (MAD)19609582
Skewness1.48999
Sum4.8965154 × 108
Variance2.2802665 × 1015
MonotonicityNot monotonic
2023-12-12T19:04:55.077820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3590450 1
 
0.5%
30582042 1
 
0.5%
93885392 1
 
0.5%
155000000 1
 
0.5%
10123 1
 
0.5%
11454787 1
 
0.5%
18364500 1
 
0.5%
24773000 1
 
0.5%
14928000 1
 
0.5%
327886 1
 
0.5%
Other values (2) 2
 
0.9%
(Missing) 200
94.3%
ValueCountFrequency (%)
10123 1
0.5%
327886 1
0.5%
3590450 1
0.5%
11454787 1
0.5%
14928000 1
0.5%
18364500 1
0.5%
24773000 1
0.5%
30582042 1
0.5%
50735355 1
0.5%
86000000 1
0.5%
ValueCountFrequency (%)
155000000 1
0.5%
93885392 1
0.5%
86000000 1
0.5%
50735355 1
0.5%
30582042 1
0.5%
24773000 1
0.5%
18364500 1
0.5%
14928000 1
0.5%
11454787 1
0.5%
3590450 1
0.5%

추천조합번호_3
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
209 
200202
 
2
200062
 
1

Length

Max length6
Median length4
Mean length4.0283019
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 209
98.6%
200202 2
 
0.9%
200062 1
 
0.5%

Length

2023-12-12T19:04:55.211936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:04:55.334091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 209
98.6%
200202 2
 
0.9%
200062 1
 
0.5%

추천조합명_3
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing209
Missing (%)98.6%
Memory size1.8 KiB
2023-12-12T19:04:55.472734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters30
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row한국펌프공업협동조합
2nd row한국전기공업협동조합
3rd row한국펌프공업협동조합
ValueCountFrequency (%)
한국펌프공업협동조합 2
66.7%
한국전기공업협동조합 1
33.3%
2023-12-12T19:04:56.175879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 3
10.0%
국 3
10.0%
공 3
10.0%
업 3
10.0%
협 3
10.0%
동 3
10.0%
조 3
10.0%
합 3
10.0%
펌 2
6.7%
프 2
6.7%
Other values (2) 2
6.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 3
10.0%
국 3
10.0%
공 3
10.0%
업 3
10.0%
협 3
10.0%
동 3
10.0%
조 3
10.0%
합 3
10.0%
펌 2
6.7%
프 2
6.7%
Other values (2) 2
6.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 3
10.0%
국 3
10.0%
공 3
10.0%
업 3
10.0%
협 3
10.0%
동 3
10.0%
조 3
10.0%
합 3
10.0%
펌 2
6.7%
프 2
6.7%
Other values (2) 2
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 3
10.0%
국 3
10.0%
공 3
10.0%
업 3
10.0%
협 3
10.0%
동 3
10.0%
조 3
10.0%
합 3
10.0%
펌 2
6.7%
프 2
6.7%
Other values (2) 2
6.7%

세부품명번호_4
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
209 
3912100101
 
2
3912110101
 
1

Length

Max length10
Median length4
Mean length4.0849057
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 209
98.6%
3912100101 2
 
0.9%
3912110101 1
 
0.5%

Length

2023-12-12T19:04:56.371332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:04:56.525727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 209
98.6%
3912100101 2
 
0.9%
3912110101 1
 
0.5%

세부품명_4
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing209
Missing (%)98.6%
Memory size1.8 KiB
2023-12-12T19:04:56.678658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.3333333
Min length3

Characters and Unicode

Total characters13
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row몰드변압기
2nd row몰드변압기
3rd row분전반
ValueCountFrequency (%)
몰드변압기 2
66.7%
분전반 1
33.3%
2023-12-12T19:04:57.000094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
몰 2
15.4%
드 2
15.4%
변 2
15.4%
압 2
15.4%
기 2
15.4%
분 1
7.7%
전 1
7.7%
반 1
7.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
몰 2
15.4%
드 2
15.4%
변 2
15.4%
압 2
15.4%
기 2
15.4%
분 1
7.7%
전 1
7.7%
반 1
7.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
몰 2
15.4%
드 2
15.4%
변 2
15.4%
압 2
15.4%
기 2
15.4%
분 1
7.7%
전 1
7.7%
반 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
몰 2
15.4%
드 2
15.4%
변 2
15.4%
압 2
15.4%
기 2
15.4%
분 1
7.7%
전 1
7.7%
반 1
7.7%

물품추정가격_4
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
209 
69694000
 
1
71892940
 
1
290000000
 
1

Length

Max length9
Median length4
Mean length4.0613208
Min length4

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 209
98.6%
69694000 1
 
0.5%
71892940 1
 
0.5%
290000000 1
 
0.5%

Length

2023-12-12T19:04:57.183473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:04:57.350274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 209
98.6%
69694000 1
 
0.5%
71892940 1
 
0.5%
290000000 1
 
0.5%

Sample

번호사업명_현장명제품명공고방법관련제품들추정가격합세부품명번호_1세부품명_1물품추정가격_1추천조합번호_1추천조합명_1세부품명번호_2세부품명_2물품추정가격_2추천조합번호_2추천조합명_2세부품명번호_3세부품명_3물품추정가격_3추천조합번호_3추천조합명_3세부품명번호_4세부품명_4물품추정가격_4
02020000000000(NHF제16호)원주흥업 B-1BL 아파트 건설공사 2공구제습기서면입찰공고제습기36119614010190201제습기3611961<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12020000000000(NHF제16호)원주흥업 B-1BL 아파트 건설공사 2공구금속제창서면입찰공고금속제창452185733017169801금속제창45218573<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22020000000000(NHF제16호)원주흥업 B-1BL 아파트 건설공사 2공구수도미터서면입찰 공고수도미터91273454111250401수도미터9127345<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
32020000000000(NHF제16호)원주흥업 B-1BL 아파트 건설공사 2공구항온항습기서면입찰공고항온항습기35097224010171501항온항습기3509722<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42020000000000(NHF제16호)원주흥업 B-1BL 아파트 건설공사 2공구송풍기서면입찰 공고송풍기311361264010160101송풍기31136126<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
52020000000000(NHF제16호)원주흥업 B-1BL 아파트건설공사 2공구소화기,소화전서면입찰공고자동식소화기, 수동식소화기, 소화전507808624619160111자동식소화기42322735<NA><NA>4619160101수동식소화기4867677<NA><NA>4619160102소화전3590450<NA><NA><NA><NA><NA>
62020000000000(NHF제16호)원주흥업B-1BL 아파트 건설공사 2공구밸브류서면입찰공고버터플라이밸브, 체크밸브180417104014162001버터플라이밸브14172282<NA><NA>4014168801체크밸브3869428<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
72020000000000(NHF제16호)원주흥업 B-1BL 아파트 건설공사 2공구펌프류서면입찰 공고부스터펌프, 수중펌프, 다단벌류트펌프884789264015156601부스터펌프42073559<NA><NA>4015151301수중펌프15823325<NA><NA>4015150301다단벌류트펌프30582042<NA><NA><NA><NA><NA>
82020000000000화성봉담2 S-1BL 아파트건설공사 4공구아스콘구매우편공고아스팔트콘크리트759317703011159701아스팔트콘크리트75931770121001서울경인아스콘공업협동조합<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
92020000000000화성봉담2 S-1BL 아파트건설공사 4공구아스콘구매우편공고아스팔트콘크리트759317703011159701아스팔트콘크리트75931770<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호사업명_현장명제품명공고방법관련제품들추정가격합세부품명번호_1세부품명_1물품추정가격_1추천조합번호_1추천조합명_1세부품명번호_2세부품명_2물품추정가격_2추천조합번호_2추천조합명_2세부품명번호_3세부품명_3물품추정가격_3추천조합번호_3추천조합명_3세부품명번호_4세부품명_4물품추정가격_4
2022017000000000(공공임대리츠)시흥장현B1BL아파트건설공사2공구시흥장현B1BL아파트건설공사2공구지명경쟁입찰콘크리트벽돌, 속빈콘크리트블록1600000003013160301콘크리트벽돌138000000<NA><NA>3013150204속빈콘크리트블록22000000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2032017000000000(공공임대리츠)고양향동S-1BL 아파트 건설공사화강석판석홈페이지자연석판석3522419773013170201자연석판석352241977200032한국석재공업협동조합<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2042017000000000(공공임대리츠)고양향동S-1BL 아파트 건설공사PVC파이프홈페이지일반용경질폴리염화비닐관568242584014218501일반용경질폴리염화비닐관56824258200144한국PVC관공업협동조합<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2052017000000000화성동탄2 A83콘크리트벽돌/블록 납품전자입찰사이트공고속빈콘크리트블록, 콘크리트벽돌2750000033013150204속빈콘크리트블록25000003108004경기도콘크리트공업협동조합3013160301콘크리트벽돌250000000108004경기도콘크리트공업협동조합<NA><NA><NA><NA><NA><NA><NA><NA>
2062017000000000(공공임대리츠)고양향동 S-2BL 아파트 건설공사 2공구자동식소화기 및 수동식소화기홈페이지자동식소화기, 수동식소화기452179404619160111자동식소화기40682500<NA><NA>4619160101수동식소화기4535440<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2072017000000000화성동탄2 A48BL주방/일반 가구전자조달시스템 공고가정용싱크대, 신발장36000000005215165001가정용싱크대1300000000200039한국주택가구협동조합5610153101신발장2300000000101001서울경인가구공업협동조합<NA><NA><NA><NA><NA><NA><NA><NA>
2082017000000000전주효천 A3BL 아파트 건설1공구레미콘서면입찰공고레미콘70986821743011150501레미콘7098682174117010전북레미콘공업협동조합<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2092017000000000(공공임대리츠)고양향동 S-2BL 아파트 건설공사 2공구PVC관(염화비닐관) 및 이음관홈페이지일반용경질폴리염화비닐관, 일반용경질폴리염화비닐이음관113094534014218501일반용경질폴리염화비닐관6720680<NA><NA>4014239601일반용경질폴리염화비닐이음관4588773<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2102017000000000전주효천 A3BL 아파트 건설1공구콘크리트파일서면입찰공고콘크리트파일1218027923010280201콘크리트파일121802792200119한국원심력콘크리트공업협동조합<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2112017000000000시흥배곧B1콘크리트벽돌홈페이지 공고콘크리트벽돌, 속빈콘크리트블록2915080003013160301콘크리트벽돌261475000108013인천콘크리트공업협동조합3013150204속빈콘크리트블록30033000108013인천콘크리트공업협동조합<NA><NA><NA><NA><NA><NA><NA><NA>