Overview

Dataset statistics

Number of variables47
Number of observations10000
Missing cells75471
Missing cells (%)16.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 MiB
Average record size in memory388.0 B

Variable types

Text18
Numeric4
Boolean5
Categorical11
DateTime9

Dataset

Description방위사업청 및 각 군이 국내에서 조달하는 군수품에 대한 경쟁 입찰공고 정보를 제공합니다.입찰공고번호,입찰공고차수,참조공고번호,참조공고차수,나라장터공고여부,입찰공고명 등이 수록됨(참고사항)데이터가 빈값인 경우- 공동수급방식명 : 공동수급방식이 아닌 경우 빈값- 설명회실시일자,설명회실시시각,설명회실시장소 : 설명회실시여부가 N인 경우 빈값- 참가가능지역명 : 지역제한여부가 N인 경우 빈값- 공종 및 면허제한그룹 1~8 : 공종 및 면허제한 등록 개수에 따라 빈값
Author방위사업청
URLhttps://www.data.go.kr/data/15050916/fileData.do

Alerts

개찰장소 has constant value ""Constant
나라장터공고여부 is highly imbalanced (95.8%)Imbalance
공동계약여부 is highly imbalanced (64.2%)Imbalance
공동수급방식명 is highly imbalanced (73.2%)Imbalance
전자입찰여부 is highly imbalanced (97.7%)Imbalance
계약체결형태명 is highly imbalanced (55.9%)Imbalance
낙찰자결정방법명 is highly imbalanced (57.1%)Imbalance
설명회실시여부 is highly imbalanced (79.6%)Imbalance
공종및면허제한그룹5 is highly imbalanced (85.8%)Imbalance
공종및면허제한그룹6 is highly imbalanced (94.7%)Imbalance
공종및면허제한그룹7 is highly imbalanced (98.4%)Imbalance
설명회실시일자 has 9686 (96.9%) missing valuesMissing
설명회실시시각 has 9686 (96.9%) missing valuesMissing
설명회실시장소 has 9681 (96.8%) missing valuesMissing
예산금액 has 974 (9.7%) missing valuesMissing
참가가능지역명 has 7733 (77.3%) missing valuesMissing
공종및면허제한그룹1 has 3311 (33.1%) missing valuesMissing
공종및면허제한그룹2 has 7462 (74.6%) missing valuesMissing
공종및면허제한그룹3 has 8319 (83.2%) missing valuesMissing
공종및면허제한그룹4 has 8639 (86.4%) missing valuesMissing
공종및면허제한그룹8 has 9980 (99.8%) missing valuesMissing
예산금액 is highly skewed (γ1 = 57.49596173)Skewed
배정예산금액(설계금액) is highly skewed (γ1 = 59.94404126)Skewed

Reproduction

Analysis started2024-04-06 08:27:01.850773
Analysis finished2024-04-06 08:27:07.223338
Duration5.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct5796
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:27:07.741160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters34
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3394 ?
Unique (%)33.9%

Sample

1st rowLCF0770
2nd rowLDH0398
3rd rowMDS0020
4th rowSCF0137
5th rowEHA0149
ValueCountFrequency (%)
umm0427 10
 
0.1%
umm0038 9
 
0.1%
umm0496 9
 
0.1%
umm0112 9
 
0.1%
umm0265 9
 
0.1%
umm0109 9
 
0.1%
lqp0003 8
 
0.1%
umm0312 8
 
0.1%
umm0162 8
 
0.1%
umm0428 8
 
0.1%
Other values (5786) 9913
99.1%
2024-04-06T17:27:08.780208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18743
26.8%
M 6517
 
9.3%
1 4053
 
5.8%
L 3567
 
5.1%
D 2988
 
4.3%
2 2950
 
4.2%
C 2805
 
4.0%
3 2676
 
3.8%
4 2399
 
3.4%
U 2395
 
3.4%
Other values (24) 20907
29.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40008
57.2%
Uppercase Letter 29992
42.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 6517
21.7%
L 3567
11.9%
D 2988
10.0%
C 2805
9.4%
U 2395
 
8.0%
H 2111
 
7.0%
F 2101
 
7.0%
S 1909
 
6.4%
G 1527
 
5.1%
K 782
 
2.6%
Other values (14) 3290
11.0%
Decimal Number
ValueCountFrequency (%)
0 18743
46.8%
1 4053
 
10.1%
2 2950
 
7.4%
3 2676
 
6.7%
4 2399
 
6.0%
5 2150
 
5.4%
6 1994
 
5.0%
7 1793
 
4.5%
9 1627
 
4.1%
8 1623
 
4.1%

Most occurring scripts

ValueCountFrequency (%)
Common 40008
57.2%
Latin 29992
42.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 6517
21.7%
L 3567
11.9%
D 2988
10.0%
C 2805
9.4%
U 2395
 
8.0%
H 2111
 
7.0%
F 2101
 
7.0%
S 1909
 
6.4%
G 1527
 
5.1%
K 782
 
2.6%
Other values (14) 3290
11.0%
Common
ValueCountFrequency (%)
0 18743
46.8%
1 4053
 
10.1%
2 2950
 
7.4%
3 2676
 
6.7%
4 2399
 
6.0%
5 2150
 
5.4%
6 1994
 
5.0%
7 1793
 
4.5%
9 1627
 
4.1%
8 1623
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18743
26.8%
M 6517
 
9.3%
1 4053
 
5.8%
L 3567
 
5.1%
D 2988
 
4.3%
2 2950
 
4.2%
C 2805
 
4.0%
3 2676
 
3.8%
4 2399
 
3.4%
U 2395
 
3.4%
Other values (24) 20907
29.9%

입찰공고차수
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3396
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:27:09.051765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.56630726
Coefficient of variation (CV)0.42274355
Kurtosis4.2240752
Mean1.3396
Median Absolute Deviation (MAD)0
Skewness1.768725
Sum13396
Variance0.32070391
MonotonicityNot monotonic
2024-04-06T17:27:09.297989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 7007
70.1%
2 2654
 
26.5%
3 287
 
2.9%
4 43
 
0.4%
5 6
 
0.1%
6 3
 
< 0.1%
ValueCountFrequency (%)
1 7007
70.1%
2 2654
 
26.5%
3 287
 
2.9%
4 43
 
0.4%
5 6
 
0.1%
6 3
 
< 0.1%
ValueCountFrequency (%)
6 3
 
< 0.1%
5 6
 
0.1%
4 43
 
0.4%
3 287
 
2.9%
2 2654
 
26.5%
1 7007
70.1%
Distinct8678
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:27:09.769391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length15.9835
Min length15

Characters and Unicode

Total characters159835
Distinct characters34
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7435 ?
Unique (%)74.4%

Sample

1st row2017LCF077029856
2nd row2017LDH039818846
3rd row2023MDS002039943
4th row2022SCF013702606
5th row2018EHA01491045
ValueCountFrequency (%)
2019mdg021637824 5
 
< 0.1%
2020ebb01454410 4
 
< 0.1%
2022lcg006121110 4
 
< 0.1%
2019mdg021737825 4
 
< 0.1%
2021lhg001112132 4
 
< 0.1%
2020mdg023242024 4
 
< 0.1%
2022uaz001528564 4
 
< 0.1%
2017egd00181050a 3
 
< 0.1%
2017egh00220532 3
 
< 0.1%
2021umm044421216 3
 
< 0.1%
Other values (8668) 9962
99.6%
2024-04-06T17:27:10.460809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38189
23.9%
2 26211
16.4%
1 15713
9.8%
3 9339
 
5.8%
4 7406
 
4.6%
9 6967
 
4.4%
5 6684
 
4.2%
8 6669
 
4.2%
M 6517
 
4.1%
7 6314
 
4.0%
Other values (24) 29826
18.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 129731
81.2%
Uppercase Letter 30104
 
18.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 6517
21.6%
L 3567
11.8%
D 2994
9.9%
C 2819
9.4%
U 2395
 
8.0%
H 2112
 
7.0%
F 2105
 
7.0%
S 1912
 
6.4%
G 1536
 
5.1%
K 782
 
2.6%
Other values (14) 3365
11.2%
Decimal Number
ValueCountFrequency (%)
0 38189
29.4%
2 26211
20.2%
1 15713
12.1%
3 9339
 
7.2%
4 7406
 
5.7%
9 6967
 
5.4%
5 6684
 
5.2%
8 6669
 
5.1%
7 6314
 
4.9%
6 6239
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
Common 129731
81.2%
Latin 30104
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 6517
21.6%
L 3567
11.8%
D 2994
9.9%
C 2819
9.4%
U 2395
 
8.0%
H 2112
 
7.0%
F 2105
 
7.0%
S 1912
 
6.4%
G 1536
 
5.1%
K 782
 
2.6%
Other values (14) 3365
11.2%
Common
ValueCountFrequency (%)
0 38189
29.4%
2 26211
20.2%
1 15713
12.1%
3 9339
 
7.2%
4 7406
 
5.7%
9 6967
 
5.4%
5 6684
 
5.2%
8 6669
 
5.1%
7 6314
 
4.9%
6 6239
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 159835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38189
23.9%
2 26211
16.4%
1 15713
9.8%
3 9339
 
5.8%
4 7406
 
4.6%
9 6967
 
4.4%
5 6684
 
4.2%
8 6669
 
4.2%
M 6517
 
4.1%
7 6314
 
4.0%
Other values (24) 29826
18.7%

참조공고차수
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3396
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:27:10.804493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.56630726
Coefficient of variation (CV)0.42274355
Kurtosis4.2240752
Mean1.3396
Median Absolute Deviation (MAD)0
Skewness1.768725
Sum13396
Variance0.32070391
MonotonicityNot monotonic
2024-04-06T17:27:11.091815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 7007
70.1%
2 2654
 
26.5%
3 287
 
2.9%
4 43
 
0.4%
5 6
 
0.1%
6 3
 
< 0.1%
ValueCountFrequency (%)
1 7007
70.1%
2 2654
 
26.5%
3 287
 
2.9%
4 43
 
0.4%
5 6
 
0.1%
6 3
 
< 0.1%
ValueCountFrequency (%)
6 3
 
< 0.1%
5 6
 
0.1%
4 43
 
0.4%
3 287
 
2.9%
2 2654
 
26.5%
1 7007
70.1%

나라장터공고여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
9954 
False
 
46
ValueCountFrequency (%)
True 9954
99.5%
False 46
 
0.5%
2024-04-06T17:27:11.300256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct7856
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:27:11.850513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length20.405
Min length2

Characters and Unicode

Total characters204050
Distinct characters836
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6239 ?
Unique (%)62.4%

Sample

1st row공업용 산소용기캡 등 2항목 구매(물자)
2nd rowK9베어링등49종구매
3rd row서버 원격 데스크탑 접속 SW 구매
4th row베이크드빈스 구매
5th row밴 1¼톤 포사격지휘소용
ValueCountFrequency (%)
구매 2533
 
6.5%
용역 1393
 
3.6%
1335
 
3.4%
457
 
1.2%
21년 429
 
1.1%
22년 414
 
1.1%
23년 405
 
1.0%
20년 363
 
0.9%
00부대 335
 
0.9%
제조 327
 
0.8%
Other values (10964) 31138
79.6%
2024-04-06T17:27:12.832984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29512
 
14.5%
2 7462
 
3.7%
) 5147
 
2.5%
( 5145
 
2.5%
1 4990
 
2.4%
0 4900
 
2.4%
4598
 
2.3%
4155
 
2.0%
- 3978
 
1.9%
3634
 
1.8%
Other values (826) 130529
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125665
61.6%
Space Separator 29512
 
14.5%
Decimal Number 25853
 
12.7%
Uppercase Letter 6580
 
3.2%
Close Punctuation 5237
 
2.6%
Open Punctuation 5236
 
2.6%
Dash Punctuation 3978
 
1.9%
Lowercase Letter 1162
 
0.6%
Other Punctuation 540
 
0.3%
Math Symbol 168
 
0.1%
Other values (7) 119
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4598
 
3.7%
4155
 
3.3%
3634
 
2.9%
3421
 
2.7%
2861
 
2.3%
2750
 
2.2%
2204
 
1.8%
2139
 
1.7%
1952
 
1.6%
1931
 
1.5%
Other values (734) 96020
76.4%
Uppercase Letter
ValueCountFrequency (%)
C 572
 
8.7%
G 564
 
8.6%
A 559
 
8.5%
P 532
 
8.1%
F 419
 
6.4%
S 408
 
6.2%
I 362
 
5.5%
L 354
 
5.4%
K 317
 
4.8%
H 302
 
4.6%
Other values (15) 2191
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 133
11.4%
o 111
 
9.6%
l 87
 
7.5%
r 85
 
7.3%
t 82
 
7.1%
c 77
 
6.6%
a 71
 
6.1%
i 69
 
5.9%
m 64
 
5.5%
s 61
 
5.2%
Other values (15) 322
27.7%
Other Punctuation
ValueCountFrequency (%)
/ 292
54.1%
' 86
 
15.9%
. 77
 
14.3%
· 62
 
11.5%
" 9
 
1.7%
& 6
 
1.1%
3
 
0.6%
* 2
 
0.4%
# 1
 
0.2%
: 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 7462
28.9%
1 4990
19.3%
0 4900
19.0%
3 2069
 
8.0%
9 1663
 
6.4%
8 1041
 
4.0%
7 975
 
3.8%
5 954
 
3.7%
6 941
 
3.6%
4 858
 
3.3%
Math Symbol
ValueCountFrequency (%)
~ 162
96.4%
4
 
2.4%
+ 2
 
1.2%
Other Symbol
ValueCountFrequency (%)
2
33.3%
2
33.3%
2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 5147
98.3%
] 90
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 5145
98.3%
[ 91
 
1.7%
Modifier Symbol
ValueCountFrequency (%)
` 42
97.7%
˙ 1
 
2.3%
Letter Number
ValueCountFrequency (%)
4
66.7%
2
33.3%
Other Number
ValueCountFrequency (%)
½ 1
50.0%
¼ 1
50.0%
Space Separator
ValueCountFrequency (%)
29512
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3978
100.0%
Final Punctuation
ValueCountFrequency (%)
42
100.0%
Initial Punctuation
ValueCountFrequency (%)
13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125661
61.6%
Common 70637
34.6%
Latin 7748
 
3.8%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4598
 
3.7%
4155
 
3.3%
3634
 
2.9%
3421
 
2.7%
2861
 
2.3%
2750
 
2.2%
2204
 
1.8%
2139
 
1.7%
1952
 
1.6%
1931
 
1.5%
Other values (731) 96016
76.4%
Latin
ValueCountFrequency (%)
C 572
 
7.4%
G 564
 
7.3%
A 559
 
7.2%
P 532
 
6.9%
F 419
 
5.4%
S 408
 
5.3%
I 362
 
4.7%
L 354
 
4.6%
K 317
 
4.1%
H 302
 
3.9%
Other values (42) 3359
43.4%
Common
ValueCountFrequency (%)
29512
41.8%
2 7462
 
10.6%
) 5147
 
7.3%
( 5145
 
7.3%
1 4990
 
7.1%
0 4900
 
6.9%
- 3978
 
5.6%
3 2069
 
2.9%
9 1663
 
2.4%
8 1041
 
1.5%
Other values (30) 4730
 
6.7%
Han
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125628
61.6%
ASCII 78245
38.3%
None 65
 
< 0.1%
Punctuation 58
 
< 0.1%
Compat Jamo 33
 
< 0.1%
Number Forms 6
 
< 0.1%
Math Operators 4
 
< 0.1%
CJK 4
 
< 0.1%
CJK Compat 2
 
< 0.1%
Geometric Shapes 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29512
37.7%
2 7462
 
9.5%
) 5147
 
6.6%
( 5145
 
6.6%
1 4990
 
6.4%
0 4900
 
6.3%
- 3978
 
5.1%
3 2069
 
2.6%
9 1663
 
2.1%
8 1041
 
1.3%
Other values (68) 12338
15.8%
Hangul
ValueCountFrequency (%)
4598
 
3.7%
4155
 
3.3%
3634
 
2.9%
3421
 
2.7%
2861
 
2.3%
2750
 
2.2%
2204
 
1.8%
2139
 
1.7%
1952
 
1.6%
1931
 
1.5%
Other values (729) 95983
76.4%
None
ValueCountFrequency (%)
· 62
95.4%
½ 1
 
1.5%
¼ 1
 
1.5%
1
 
1.5%
Punctuation
ValueCountFrequency (%)
42
72.4%
13
 
22.4%
3
 
5.2%
Compat Jamo
ValueCountFrequency (%)
21
63.6%
12
36.4%
Math Operators
ValueCountFrequency (%)
4
100.0%
Number Forms
ValueCountFrequency (%)
4
66.7%
2
33.3%
CJK Compat
ValueCountFrequency (%)
2
100.0%
Geometric Shapes
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
2
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상공고
3686 
긴급공고
3321 
취소공고
1238 
재공고
1214 
정정공고
409 

Length

Max length4
Median length4
Mean length3.8786
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정상공고
2nd row재공고
3rd row긴급공고
4th row재공고
5th row정상공고

Common Values

ValueCountFrequency (%)
정상공고 3686
36.9%
긴급공고 3321
33.2%
취소공고 1238
 
12.4%
재공고 1214
 
12.1%
정정공고 409
 
4.1%
연기공고 132
 
1.3%

Length

2024-04-06T17:27:13.146894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:27:13.348092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상공고 3686
36.9%
긴급공고 3321
33.2%
취소공고 1238
 
12.4%
재공고 1214
 
12.1%
정정공고 409
 
4.1%
연기공고 132
 
1.3%
Distinct1858
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-01-05 00:00:00
Maximum2023-09-27 00:00:00
2024-04-06T17:27:13.671016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:27:13.957153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업무구분명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
물품
6519 
용역
3481 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물품 6519
65.2%
용역 3481
34.8%

Length

2024-04-06T17:27:14.220650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:27:14.399963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 6519
65.2%
용역 3481
34.8%

공동계약여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9321 
True
 
679
ValueCountFrequency (%)
False 9321
93.2%
True 679
 
6.8%
2024-04-06T17:27:14.554590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공동수급방식명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9321 
분담
 
384
공동
 
295

Length

Max length4
Median length4
Mean length3.8642
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9321
93.2%
분담 384
 
3.8%
공동 295
 
2.9%

Length

2024-04-06T17:27:14.792269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:27:14.994445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9321
93.2%
분담 384
 
3.8%
공동 295
 
2.9%

전자입찰여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
9977 
False
 
23
ValueCountFrequency (%)
True 9977
99.8%
False 23
 
0.2%
2024-04-06T17:27:15.454681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

계약체결형태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
총액계약
9087 
단가계약
913 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row총액계약
2nd row총액계약
3rd row총액계약
4th row단가계약
5th row총액계약

Common Values

ValueCountFrequency (%)
총액계약 9087
90.9%
단가계약 913
 
9.1%

Length

2024-04-06T17:27:15.646254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:27:15.828753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총액계약 9087
90.9%
단가계약 913
 
9.1%
Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
제한경쟁
6148 
일반경쟁
2419 
2단계경쟁(동시)
861 
협상에의한계약(전자)
 
402
협상에의한계약(서류)
 
80
Other values (2)
 
90

Length

Max length11
Median length4
Mean length4.7899
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제한경쟁
2nd row제한경쟁
3rd row제한경쟁
4th row제한경쟁
5th row일반경쟁

Common Values

ValueCountFrequency (%)
제한경쟁 6148
61.5%
일반경쟁 2419
 
24.2%
2단계경쟁(동시) 861
 
8.6%
협상에의한계약(전자) 402
 
4.0%
협상에의한계약(서류) 80
 
0.8%
지명경쟁 46
 
0.5%
2단계경쟁(분리) 44
 
0.4%

Length

2024-04-06T17:27:16.041248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:27:16.497173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한경쟁 6148
61.5%
일반경쟁 2419
 
24.2%
2단계경쟁(동시 861
 
8.6%
협상에의한계약(전자 402
 
4.0%
협상에의한계약(서류 80
 
0.8%
지명경쟁 46
 
0.5%
2단계경쟁(분리 44
 
0.4%

낙찰자결정방법명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
적격심사제
8101 
최저가격제
1417 
협상
 
481
<NA>
 
1

Length

Max length5
Median length5
Mean length4.8556
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
적격심사제 8101
81.0%
최저가격제 1417
 
14.2%
협상 481
 
4.8%
<NA> 1
 
< 0.1%

Length

2024-04-06T17:27:16.709517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:27:16.898692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적격심사제 8101
81.0%
최저가격제 1417
 
14.2%
협상 481
 
4.8%
na 1
 
< 0.1%
Distinct186
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:27:17.396211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length7.0305
Min length3

Characters and Unicode

Total characters70305
Distinct characters123
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

Unique7 ?
Unique (%)0.1%

Sample

1st row육군군수사령부
2nd row제2879부대
3rd row제3707부대
4th row해군군수사령부
5th row방위사업청
ValueCountFrequency (%)
국군재정관리단 2201
21.4%
해군군수사령부 709
 
6.9%
국군의무사령부 478
 
4.6%
육군군수사령부 466
 
4.5%
국군수도병원 464
 
4.5%
제2879부대 439
 
4.3%
방위사업청 264
 
2.6%
육군 232
 
2.3%
공군군수사령부 120
 
1.2%
국군대전병원 108
 
1.0%
Other values (181) 4822
46.8%
2024-04-06T17:27:18.421526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7825
 
11.1%
5346
 
7.6%
3687
 
5.2%
3673
 
5.2%
3560
 
5.1%
3358
 
4.8%
2975
 
4.2%
2372
 
3.4%
2361
 
3.4%
2264
 
3.2%
Other values (113) 32884
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57795
82.2%
Decimal Number 12061
 
17.2%
Space Separator 303
 
0.4%
Close Punctuation 73
 
0.1%
Open Punctuation 73
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7825
 
13.5%
5346
 
9.2%
3687
 
6.4%
3673
 
6.4%
3560
 
6.2%
3358
 
5.8%
2975
 
5.1%
2372
 
4.1%
2361
 
4.1%
2264
 
3.9%
Other values (100) 20374
35.3%
Decimal Number
ValueCountFrequency (%)
1 1962
16.3%
9 1811
15.0%
8 1682
13.9%
7 1456
12.1%
2 1377
11.4%
6 1127
9.3%
3 1056
8.8%
5 839
7.0%
0 695
 
5.8%
4 56
 
0.5%
Space Separator
ValueCountFrequency (%)
303
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57795
82.2%
Common 12510
 
17.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7825
 
13.5%
5346
 
9.2%
3687
 
6.4%
3673
 
6.4%
3560
 
6.2%
3358
 
5.8%
2975
 
5.1%
2372
 
4.1%
2361
 
4.1%
2264
 
3.9%
Other values (100) 20374
35.3%
Common
ValueCountFrequency (%)
1 1962
15.7%
9 1811
14.5%
8 1682
13.4%
7 1456
11.6%
2 1377
11.0%
6 1127
9.0%
3 1056
8.4%
5 839
6.7%
0 695
 
5.6%
303
 
2.4%
Other values (3) 202
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57795
82.2%
ASCII 12510
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7825
 
13.5%
5346
 
9.2%
3687
 
6.4%
3673
 
6.4%
3560
 
6.2%
3358
 
5.8%
2975
 
5.1%
2372
 
4.1%
2361
 
4.1%
2264
 
3.9%
Other values (100) 20374
35.3%
ASCII
ValueCountFrequency (%)
1 1962
15.7%
9 1811
14.5%
8 1682
13.4%
7 1456
11.6%
2 1377
11.0%
6 1127
9.0%
3 1056
8.4%
5 839
6.7%
0 695
 
5.6%
303
 
2.4%
Other values (3) 202
 
1.6%
Distinct181
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:27:19.025997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row1290307
2nd rowZD00347
3rd row1290494
4th rowZD00289
5th row1690000
ValueCountFrequency (%)
zd00303 2201
22.0%
zd00289 709
 
7.1%
1290291 478
 
4.8%
1290307 466
 
4.7%
zd00236 464
 
4.6%
zd00347 439
 
4.4%
1690000 298
 
3.0%
zd00306 120
 
1.2%
zd00241 108
 
1.1%
1290298 100
 
1.0%
Other values (171) 4617
46.2%
2024-04-06T17:27:19.854141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23893
34.1%
Z 7920
 
11.3%
D 7811
 
11.2%
3 7302
 
10.4%
1 5238
 
7.5%
2 5201
 
7.4%
9 4336
 
6.2%
7 1977
 
2.8%
6 1829
 
2.6%
8 1754
 
2.5%
Other values (3) 2739
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54268
77.5%
Uppercase Letter 15732
 
22.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23893
44.0%
3 7302
 
13.5%
1 5238
 
9.7%
2 5201
 
9.6%
9 4336
 
8.0%
7 1977
 
3.6%
6 1829
 
3.4%
8 1754
 
3.2%
4 1598
 
2.9%
5 1140
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
Z 7920
50.3%
D 7811
49.7%
B 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 54268
77.5%
Latin 15732
 
22.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23893
44.0%
3 7302
 
13.5%
1 5238
 
9.7%
2 5201
 
9.6%
9 4336
 
8.0%
7 1977
 
3.6%
6 1829
 
3.4%
8 1754
 
3.2%
4 1598
 
2.9%
5 1140
 
2.1%
Latin
ValueCountFrequency (%)
Z 7920
50.3%
D 7811
49.7%
B 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23893
34.1%
Z 7920
 
11.3%
D 7811
 
11.2%
3 7302
 
10.4%
1 5238
 
7.5%
2 5201
 
7.4%
9 4336
 
6.2%
7 1977
 
2.8%
6 1829
 
2.6%
8 1754
 
2.5%
Other values (3) 2739
 
3.9%
Distinct208
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:27:20.430992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length7
Mean length7.2912
Min length4

Characters and Unicode

Total characters72912
Distinct characters139
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)0.1%

Sample

1st row육군군수사령부
2nd row제2879부대
3rd row제3707부대
4th row해군군수사령부
5th row일반장비계약팀 (구:19.09.16)
ValueCountFrequency (%)
국군재정관리단 2201
21.0%
해군군수사령부 709
 
6.8%
국군의무사령부 478
 
4.6%
육군군수사령부 466
 
4.4%
국군수도병원 464
 
4.4%
제2879부대 439
 
4.2%
육군 234
 
2.2%
공군군수사령부 120
 
1.1%
국군대전병원 108
 
1.0%
구:19.09.16 107
 
1.0%
Other values (204) 5173
49.3%
2024-04-06T17:27:21.433626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7820
 
10.7%
5401
 
7.4%
3736
 
5.1%
3674
 
5.0%
3545
 
4.9%
3221
 
4.4%
2921
 
4.0%
2404
 
3.3%
2368
 
3.2%
2282
 
3.1%
Other values (129) 35540
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59033
81.0%
Decimal Number 12608
 
17.3%
Space Separator 590
 
0.8%
Other Punctuation 321
 
0.4%
Close Punctuation 180
 
0.2%
Open Punctuation 180
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7820
 
13.2%
5401
 
9.1%
3736
 
6.3%
3674
 
6.2%
3545
 
6.0%
3221
 
5.5%
2921
 
4.9%
2404
 
4.1%
2368
 
4.0%
2282
 
3.9%
Other values (114) 21661
36.7%
Decimal Number
ValueCountFrequency (%)
1 2134
16.9%
9 1982
15.7%
8 1682
13.3%
7 1467
11.6%
2 1421
11.3%
6 1158
9.2%
3 1056
8.4%
5 849
 
6.7%
0 803
 
6.4%
4 56
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 214
66.7%
: 107
33.3%
Space Separator
ValueCountFrequency (%)
590
100.0%
Close Punctuation
ValueCountFrequency (%)
) 180
100.0%
Open Punctuation
ValueCountFrequency (%)
( 180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59033
81.0%
Common 13879
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7820
 
13.2%
5401
 
9.1%
3736
 
6.3%
3674
 
6.2%
3545
 
6.0%
3221
 
5.5%
2921
 
4.9%
2404
 
4.1%
2368
 
4.0%
2282
 
3.9%
Other values (114) 21661
36.7%
Common
ValueCountFrequency (%)
1 2134
15.4%
9 1982
14.3%
8 1682
12.1%
7 1467
10.6%
2 1421
10.2%
6 1158
8.3%
3 1056
7.6%
5 849
 
6.1%
0 803
 
5.8%
590
 
4.3%
Other values (5) 737
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59033
81.0%
ASCII 13879
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7820
 
13.2%
5401
 
9.1%
3736
 
6.3%
3674
 
6.2%
3545
 
6.0%
3221
 
5.5%
2921
 
4.9%
2404
 
4.1%
2368
 
4.0%
2282
 
3.9%
Other values (114) 21661
36.7%
ASCII
ValueCountFrequency (%)
1 2134
15.4%
9 1982
14.3%
8 1682
12.1%
7 1467
10.6%
2 1421
10.2%
6 1158
8.3%
3 1056
7.6%
5 849
 
6.1%
0 803
 
5.8%
590
 
4.3%
Other values (5) 737
 
5.3%
Distinct1015
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:27:22.063125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9914
Min length2

Characters and Unicode

Total characters29914
Distinct characters210
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

Unique241 ?
Unique (%)2.4%

Sample

1st row최현식
2nd row오해정
3rd row이동철
4th row이금옥
5th row임형구
ValueCountFrequency (%)
정진교 340
 
3.4%
이금옥 255
 
2.5%
최정국 236
 
2.4%
임경국 197
 
2.0%
유정규 190
 
1.9%
이대원 185
 
1.8%
이성구 184
 
1.8%
이민규 183
 
1.8%
한태호 176
 
1.8%
김진회 174
 
1.7%
Other values (1005) 7880
78.8%
2024-04-06T17:27:23.013231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1884
 
6.3%
1690
 
5.6%
1679
 
5.6%
1304
 
4.4%
785
 
2.6%
686
 
2.3%
653
 
2.2%
632
 
2.1%
618
 
2.1%
603
 
2.0%
Other values (200) 19380
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29914
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1884
 
6.3%
1690
 
5.6%
1679
 
5.6%
1304
 
4.4%
785
 
2.6%
686
 
2.3%
653
 
2.2%
632
 
2.1%
618
 
2.1%
603
 
2.0%
Other values (200) 19380
64.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29914
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1884
 
6.3%
1690
 
5.6%
1679
 
5.6%
1304
 
4.4%
785
 
2.6%
686
 
2.3%
653
 
2.2%
632
 
2.1%
618
 
2.1%
603
 
2.0%
Other values (200) 19380
64.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29914
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1884
 
6.3%
1690
 
5.6%
1679
 
5.6%
1304
 
4.4%
785
 
2.6%
686
 
2.3%
653
 
2.2%
632
 
2.1%
618
 
2.1%
603
 
2.0%
Other values (200) 19380
64.8%
Distinct186
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:27:23.561181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length7.0305
Min length3

Characters and Unicode

Total characters70305
Distinct characters123
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

Unique7 ?
Unique (%)0.1%

Sample

1st row육군군수사령부
2nd row제2879부대
3rd row제3707부대
4th row해군군수사령부
5th row방위사업청
ValueCountFrequency (%)
국군재정관리단 2201
21.4%
해군군수사령부 709
 
6.9%
국군의무사령부 478
 
4.6%
육군군수사령부 466
 
4.5%
국군수도병원 464
 
4.5%
제2879부대 439
 
4.3%
방위사업청 264
 
2.6%
육군 232
 
2.3%
공군군수사령부 120
 
1.2%
국군대전병원 108
 
1.0%
Other values (181) 4822
46.8%
2024-04-06T17:27:24.353312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7825
 
11.1%
5346
 
7.6%
3687
 
5.2%
3673
 
5.2%
3560
 
5.1%
3358
 
4.8%
2975
 
4.2%
2372
 
3.4%
2361
 
3.4%
2264
 
3.2%
Other values (113) 32884
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57795
82.2%
Decimal Number 12061
 
17.2%
Space Separator 303
 
0.4%
Close Punctuation 73
 
0.1%
Open Punctuation 73
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7825
 
13.5%
5346
 
9.2%
3687
 
6.4%
3673
 
6.4%
3560
 
6.2%
3358
 
5.8%
2975
 
5.1%
2372
 
4.1%
2361
 
4.1%
2264
 
3.9%
Other values (100) 20374
35.3%
Decimal Number
ValueCountFrequency (%)
1 1962
16.3%
9 1811
15.0%
8 1682
13.9%
7 1456
12.1%
2 1377
11.4%
6 1127
9.3%
3 1056
8.8%
5 839
7.0%
0 695
 
5.8%
4 56
 
0.5%
Space Separator
ValueCountFrequency (%)
303
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57795
82.2%
Common 12510
 
17.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7825
 
13.5%
5346
 
9.2%
3687
 
6.4%
3673
 
6.4%
3560
 
6.2%
3358
 
5.8%
2975
 
5.1%
2372
 
4.1%
2361
 
4.1%
2264
 
3.9%
Other values (100) 20374
35.3%
Common
ValueCountFrequency (%)
1 1962
15.7%
9 1811
14.5%
8 1682
13.4%
7 1456
11.6%
2 1377
11.0%
6 1127
9.0%
3 1056
8.4%
5 839
6.7%
0 695
 
5.6%
303
 
2.4%
Other values (3) 202
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57795
82.2%
ASCII 12510
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7825
 
13.5%
5346
 
9.2%
3687
 
6.4%
3673
 
6.4%
3560
 
6.2%
3358
 
5.8%
2975
 
5.1%
2372
 
4.1%
2361
 
4.1%
2264
 
3.9%
Other values (100) 20374
35.3%
ASCII
ValueCountFrequency (%)
1 1962
15.7%
9 1811
14.5%
8 1682
13.4%
7 1456
11.6%
2 1377
11.0%
6 1127
9.0%
3 1056
8.4%
5 839
6.7%
0 695
 
5.6%
303
 
2.4%
Other values (3) 202
 
1.6%
Distinct181
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:27:24.862544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row1290307
2nd rowZD00347
3rd row1290494
4th rowZD00289
5th row1690000
ValueCountFrequency (%)
zd00303 2201
22.0%
zd00289 709
 
7.1%
1290291 478
 
4.8%
1290307 466
 
4.7%
zd00236 464
 
4.6%
zd00347 439
 
4.4%
1690000 298
 
3.0%
zd00306 120
 
1.2%
zd00241 108
 
1.1%
1290298 100
 
1.0%
Other values (171) 4617
46.2%
2024-04-06T17:27:25.789633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23893
34.1%
Z 7920
 
11.3%
D 7811
 
11.2%
3 7302
 
10.4%
1 5238
 
7.5%
2 5201
 
7.4%
9 4336
 
6.2%
7 1977
 
2.8%
6 1829
 
2.6%
8 1754
 
2.5%
Other values (3) 2739
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54268
77.5%
Uppercase Letter 15732
 
22.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23893
44.0%
3 7302
 
13.5%
1 5238
 
9.7%
2 5201
 
9.6%
9 4336
 
8.0%
7 1977
 
3.6%
6 1829
 
3.4%
8 1754
 
3.2%
4 1598
 
2.9%
5 1140
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
Z 7920
50.3%
D 7811
49.7%
B 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 54268
77.5%
Latin 15732
 
22.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23893
44.0%
3 7302
 
13.5%
1 5238
 
9.7%
2 5201
 
9.6%
9 4336
 
8.0%
7 1977
 
3.6%
6 1829
 
3.4%
8 1754
 
3.2%
4 1598
 
2.9%
5 1140
 
2.1%
Latin
ValueCountFrequency (%)
Z 7920
50.3%
D 7811
49.7%
B 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23893
34.1%
Z 7920
 
11.3%
D 7811
 
11.2%
3 7302
 
10.4%
1 5238
 
7.5%
2 5201
 
7.4%
9 4336
 
6.2%
7 1977
 
2.8%
6 1829
 
2.6%
8 1754
 
2.5%
Other values (3) 2739
 
3.9%
Distinct208
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:27:26.318068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length7
Mean length7.2912
Min length4

Characters and Unicode

Total characters72912
Distinct characters139
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)0.1%

Sample

1st row육군군수사령부
2nd row제2879부대
3rd row제3707부대
4th row해군군수사령부
5th row일반장비계약팀 (구:19.09.16)
ValueCountFrequency (%)
국군재정관리단 2201
21.0%
해군군수사령부 709
 
6.8%
국군의무사령부 478
 
4.6%
육군군수사령부 466
 
4.4%
국군수도병원 464
 
4.4%
제2879부대 439
 
4.2%
육군 234
 
2.2%
공군군수사령부 120
 
1.1%
국군대전병원 108
 
1.0%
구:19.09.16 107
 
1.0%
Other values (204) 5173
49.3%
2024-04-06T17:27:27.131630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7820
 
10.7%
5401
 
7.4%
3736
 
5.1%
3674
 
5.0%
3545
 
4.9%
3221
 
4.4%
2921
 
4.0%
2404
 
3.3%
2368
 
3.2%
2282
 
3.1%
Other values (129) 35540
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59033
81.0%
Decimal Number 12608
 
17.3%
Space Separator 590
 
0.8%
Other Punctuation 321
 
0.4%
Close Punctuation 180
 
0.2%
Open Punctuation 180
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7820
 
13.2%
5401
 
9.1%
3736
 
6.3%
3674
 
6.2%
3545
 
6.0%
3221
 
5.5%
2921
 
4.9%
2404
 
4.1%
2368
 
4.0%
2282
 
3.9%
Other values (114) 21661
36.7%
Decimal Number
ValueCountFrequency (%)
1 2134
16.9%
9 1982
15.7%
8 1682
13.3%
7 1467
11.6%
2 1421
11.3%
6 1158
9.2%
3 1056
8.4%
5 849
 
6.7%
0 803
 
6.4%
4 56
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 214
66.7%
: 107
33.3%
Space Separator
ValueCountFrequency (%)
590
100.0%
Close Punctuation
ValueCountFrequency (%)
) 180
100.0%
Open Punctuation
ValueCountFrequency (%)
( 180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59033
81.0%
Common 13879
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7820
 
13.2%
5401
 
9.1%
3736
 
6.3%
3674
 
6.2%
3545
 
6.0%
3221
 
5.5%
2921
 
4.9%
2404
 
4.1%
2368
 
4.0%
2282
 
3.9%
Other values (114) 21661
36.7%
Common
ValueCountFrequency (%)
1 2134
15.4%
9 1982
14.3%
8 1682
12.1%
7 1467
10.6%
2 1421
10.2%
6 1158
8.3%
3 1056
7.6%
5 849
 
6.1%
0 803
 
5.8%
590
 
4.3%
Other values (5) 737
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59033
81.0%
ASCII 13879
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7820
 
13.2%
5401
 
9.1%
3736
 
6.3%
3674
 
6.2%
3545
 
6.0%
3221
 
5.5%
2921
 
4.9%
2404
 
4.1%
2368
 
4.0%
2282
 
3.9%
Other values (114) 21661
36.7%
ASCII
ValueCountFrequency (%)
1 2134
15.4%
9 1982
14.3%
8 1682
12.1%
7 1467
10.6%
2 1421
10.2%
6 1158
8.3%
3 1056
7.6%
5 849
 
6.1%
0 803
 
5.8%
590
 
4.3%
Other values (5) 737
 
5.3%
Distinct1015
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:27:27.736671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9914
Min length2

Characters and Unicode

Total characters29914
Distinct characters210
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

Unique241 ?
Unique (%)2.4%

Sample

1st row최현식
2nd row오해정
3rd row이동철
4th row이금옥
5th row임형구
ValueCountFrequency (%)
정진교 340
 
3.4%
이금옥 255
 
2.5%
최정국 236
 
2.4%
임경국 197
 
2.0%
유정규 190
 
1.9%
이대원 185
 
1.8%
이성구 184
 
1.8%
이민규 183
 
1.8%
한태호 176
 
1.8%
김진회 174
 
1.7%
Other values (1005) 7880
78.8%
2024-04-06T17:27:28.773120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1884
 
6.3%
1690
 
5.6%
1679
 
5.6%
1304
 
4.4%
785
 
2.6%
686
 
2.3%
653
 
2.2%
632
 
2.1%
618
 
2.1%
603
 
2.0%
Other values (200) 19380
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29914
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1884
 
6.3%
1690
 
5.6%
1679
 
5.6%
1304
 
4.4%
785
 
2.6%
686
 
2.3%
653
 
2.2%
632
 
2.1%
618
 
2.1%
603
 
2.0%
Other values (200) 19380
64.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29914
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1884
 
6.3%
1690
 
5.6%
1679
 
5.6%
1304
 
4.4%
785
 
2.6%
686
 
2.3%
653
 
2.2%
632
 
2.1%
618
 
2.1%
603
 
2.0%
Other values (200) 19380
64.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29914
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1884
 
6.3%
1690
 
5.6%
1679
 
5.6%
1304
 
4.4%
785
 
2.6%
686
 
2.3%
653
 
2.2%
632
 
2.1%
618
 
2.1%
603
 
2.0%
Other values (200) 19380
64.8%

설명회실시여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9681 
True
 
319
ValueCountFrequency (%)
False 9681
96.8%
True 319
 
3.2%
2024-04-06T17:27:29.080717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

설명회실시일자
Date

MISSING 

Distinct208
Distinct (%)66.2%
Missing9686
Missing (%)96.9%
Memory size156.2 KiB
Minimum2016-01-22 00:00:00
Maximum2023-08-25 00:00:00
2024-04-06T17:27:29.312447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:27:29.708509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설명회실시시각
Date

MISSING 

Distinct13
Distinct (%)4.1%
Missing9686
Missing (%)96.9%
Memory size156.2 KiB
Minimum2024-04-06 00:00:00
Maximum2024-04-06 15:15:00
2024-04-06T17:27:29.977158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:27:30.205974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

설명회실시장소
Text

MISSING 

Distinct122
Distinct (%)38.2%
Missing9681
Missing (%)96.8%
Memory size156.2 KiB
2024-04-06T17:27:30.593915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.2413793
Min length3

Characters and Unicode

Total characters2948
Distinct characters148
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)22.6%

Sample

1st row재정단민원동입찰실
2nd row국군재정관리단입찰실
3rd row국군수도병원
4th row제5708부대
5th row52사단 화살회관 카페
ValueCountFrequency (%)
면회실 43
 
7.7%
재정단민원동입찰실 33
 
5.9%
국군재정관리단입찰실 16
 
2.9%
해군의집 16
 
2.9%
참조 16
 
2.9%
재정단 13
 
2.3%
부대 12
 
2.1%
5019부대 12
 
2.1%
진해 12
 
2.1%
재정단입찰실(3층 11
 
2.0%
Other values (142) 375
67.1%
2024-04-06T17:27:31.255898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
243
 
8.2%
171
 
5.8%
115
 
3.9%
110
 
3.7%
103
 
3.5%
103
 
3.5%
101
 
3.4%
93
 
3.2%
87
 
3.0%
72
 
2.4%
Other values (138) 1750
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2264
76.8%
Decimal Number 358
 
12.1%
Space Separator 243
 
8.2%
Close Punctuation 35
 
1.2%
Open Punctuation 35
 
1.2%
Lowercase Letter 8
 
0.3%
Other Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
171
 
7.6%
115
 
5.1%
110
 
4.9%
103
 
4.5%
103
 
4.5%
101
 
4.5%
93
 
4.1%
87
 
3.8%
72
 
3.2%
72
 
3.2%
Other values (119) 1237
54.6%
Decimal Number
ValueCountFrequency (%)
2 67
18.7%
3 60
16.8%
1 50
14.0%
5 42
11.7%
9 34
9.5%
0 31
8.7%
8 30
8.4%
7 24
 
6.7%
6 17
 
4.7%
4 3
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
50.0%
x 2
25.0%
b 2
25.0%
Space Separator
ValueCountFrequency (%)
243
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2262
76.7%
Common 674
 
22.9%
Latin 10
 
0.3%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
171
 
7.6%
115
 
5.1%
110
 
4.9%
103
 
4.6%
103
 
4.6%
101
 
4.5%
93
 
4.1%
87
 
3.8%
72
 
3.2%
72
 
3.2%
Other values (118) 1235
54.6%
Common
ValueCountFrequency (%)
243
36.1%
2 67
 
9.9%
3 60
 
8.9%
1 50
 
7.4%
5 42
 
6.2%
) 35
 
5.2%
( 35
 
5.2%
9 34
 
5.0%
0 31
 
4.6%
8 30
 
4.5%
Other values (5) 47
 
7.0%
Latin
ValueCountFrequency (%)
e 4
40.0%
x 2
20.0%
b 2
20.0%
W 2
20.0%
Han
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2262
76.7%
ASCII 684
 
23.2%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
243
35.5%
2 67
 
9.8%
3 60
 
8.8%
1 50
 
7.3%
5 42
 
6.1%
) 35
 
5.1%
( 35
 
5.1%
9 34
 
5.0%
0 31
 
4.5%
8 30
 
4.4%
Other values (9) 57
 
8.3%
Hangul
ValueCountFrequency (%)
171
 
7.6%
115
 
5.1%
110
 
4.9%
103
 
4.6%
103
 
4.6%
101
 
4.5%
93
 
4.1%
87
 
3.8%
72
 
3.2%
72
 
3.2%
Other values (118) 1235
54.6%
CJK
ValueCountFrequency (%)
2
100.0%
Distinct1758
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-01-12 00:00:00
Maximum2023-10-30 00:00:00
2024-04-06T17:27:31.519702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:27:31.804956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-04-06 10:00:00
Maximum2024-04-06 17:00:00
2024-04-06T17:27:32.080415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:27:32.300523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
Distinct1765
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-01-13 00:00:00
Maximum2023-10-31 00:00:00
2024-04-06T17:27:32.537563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:27:32.811012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-04-06 10:00:00
Maximum2024-04-06 17:00:00
2024-04-06T17:27:33.052614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:27:33.310953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
Distinct1769
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-01-13 00:00:00
Maximum2023-10-31 00:00:00
2024-04-06T17:27:33.564665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:27:33.840825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-04-06 10:00:00
Maximum2024-04-06 18:00:00
2024-04-06T17:27:34.204796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:27:34.485348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

개찰장소
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국방전자조달 시스템
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국방전자조달 시스템
2nd row국방전자조달 시스템
3rd row국방전자조달 시스템
4th row국방전자조달 시스템
5th row국방전자조달 시스템

Common Values

ValueCountFrequency (%)
국방전자조달 시스템 10000
100.0%

Length

2024-04-06T17:27:34.707646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:27:35.260393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국방전자조달 10000
50.0%
시스템 10000
50.0%

예산금액
Real number (ℝ)

MISSING  SKEWED 

Distinct6787
Distinct (%)75.2%
Missing974
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean4.2113251 × 108
Minimum1
Maximum3.9 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:27:35.472284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5149
Q123657092
median66495000
Q31.8459024 × 108
95-th percentile1.211627 × 109
Maximum3.9 × 1011
Range3.9 × 1011
Interquartile range (IQR)1.6093314 × 108

Descriptive statistics

Standard deviation5.3455558 × 109
Coefficient of variation (CV)12.693287
Kurtosis3789.8849
Mean4.2113251 × 108
Median Absolute Deviation (MAD)56160277
Skewness57.495962
Sum3.801142 × 1012
Variance2.8574967 × 1019
MonotonicityNot monotonic
2024-04-06T17:27:35.802360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7000 29
 
0.3%
1500 18
 
0.2%
170 17
 
0.2%
30000000 16
 
0.2%
50000000 14
 
0.1%
29400000 11
 
0.1%
20000000 10
 
0.1%
6000 10
 
0.1%
150000000 10
 
0.1%
60000000 10
 
0.1%
Other values (6777) 8881
88.8%
(Missing) 974
 
9.7%
ValueCountFrequency (%)
1 1
 
< 0.1%
72 4
< 0.1%
82 1
 
< 0.1%
117 1
 
< 0.1%
118 3
< 0.1%
120 1
 
< 0.1%
125 1
 
< 0.1%
126 2
< 0.1%
137 1
 
< 0.1%
143 1
 
< 0.1%
ValueCountFrequency (%)
390000000000 1
< 0.1%
263000000000 1
< 0.1%
90929000000 1
< 0.1%
71299072240 1
< 0.1%
64395000000 2
< 0.1%
61950000000 1
< 0.1%
32943853810 1
< 0.1%
26359736665 1
< 0.1%
24226537039 1
< 0.1%
21846301377 1
< 0.1%

배정예산금액(설계금액)
Real number (ℝ)

SKEWED 

Distinct7095
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6516797 × 108
Minimum0
Maximum4.05 × 1011
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:27:36.111129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6091969
Q131396836
median79868160
Q32.115393 × 108
95-th percentile1.4990852 × 109
Maximum4.05 × 1011
Range4.05 × 1011
Interquartile range (IQR)1.8014246 × 108

Descriptive statistics

Standard deviation5.2655844 × 109
Coefficient of variation (CV)11.319748
Kurtosis4169.3627
Mean4.6516797 × 108
Median Absolute Deviation (MAD)60421610
Skewness59.944041
Sum4.6516797 × 1012
Variance2.7726379 × 1019
MonotonicityNot monotonic
2024-04-06T17:27:36.417341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000000 39
 
0.4%
40000000 35
 
0.4%
50000000 29
 
0.3%
100000000 25
 
0.2%
60000000 24
 
0.2%
80000000 22
 
0.2%
90000000 19
 
0.2%
32000000 16
 
0.2%
20000000 15
 
0.1%
35000000 15
 
0.1%
Other values (7085) 9761
97.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 3
< 0.1%
574 2
< 0.1%
654 1
 
< 0.1%
783 1
 
< 0.1%
975 1
 
< 0.1%
1000 3
< 0.1%
1270 1
 
< 0.1%
1359 1
 
< 0.1%
1370 1
 
< 0.1%
ValueCountFrequency (%)
405000000000 1
< 0.1%
268000000000 1
< 0.1%
90800000000 1
< 0.1%
73153951800 1
< 0.1%
64395000000 2
< 0.1%
59400000000 1
< 0.1%
48670000000 1
< 0.1%
33436288000 1
< 0.1%
26579258000 1
< 0.1%
24711067780 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
7733 
True
2267 
ValueCountFrequency (%)
False 7733
77.3%
True 2267
 
22.7%
2024-04-06T17:27:36.848834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

참가가능지역명
Text

MISSING 

Distinct69
Distinct (%)3.0%
Missing7733
Missing (%)77.3%
Memory size156.2 KiB
2024-04-06T17:27:37.144710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length4.9797089
Min length3

Characters and Unicode

Total characters11289
Distinct characters32
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

Unique20 ?
Unique (%)0.9%

Sample

1st row경기도
2nd row경상남도
3rd row충청남도
4th row경상남도
5th row충청북도
ValueCountFrequency (%)
경기도 539
23.8%
경상남도 385
17.0%
강원도 261
11.5%
경상북도 102
 
4.5%
인천광역시 88
 
3.9%
제주특별자치도 86
 
3.8%
충청북도 82
 
3.6%
서울특별시/경기도 75
 
3.3%
충청남도 64
 
2.8%
서울특별시 56
 
2.5%
Other values (59) 529
23.3%
2024-04-06T17:27:37.756414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2046
18.1%
1295
 
11.5%
748
 
6.6%
673
 
6.0%
623
 
5.5%
549
 
4.9%
547
 
4.8%
469
 
4.2%
/ 452
 
4.0%
309
 
2.7%
Other values (22) 3578
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10837
96.0%
Other Punctuation 452
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2046
18.9%
1295
 
11.9%
748
 
6.9%
673
 
6.2%
623
 
5.7%
549
 
5.1%
547
 
5.0%
469
 
4.3%
309
 
2.9%
309
 
2.9%
Other values (21) 3269
30.2%
Other Punctuation
ValueCountFrequency (%)
/ 452
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10837
96.0%
Common 452
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2046
18.9%
1295
 
11.9%
748
 
6.9%
673
 
6.2%
623
 
5.7%
549
 
5.1%
547
 
5.0%
469
 
4.3%
309
 
2.9%
309
 
2.9%
Other values (21) 3269
30.2%
Common
ValueCountFrequency (%)
/ 452
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10837
96.0%
ASCII 452
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2046
18.9%
1295
 
11.9%
748
 
6.9%
673
 
6.2%
623
 
5.7%
549
 
5.1%
547
 
5.0%
469
 
4.3%
309
 
2.9%
309
 
2.9%
Other values (21) 3269
30.2%
ASCII
ValueCountFrequency (%)
/ 452
100.0%
Distinct361
Distinct (%)5.4%
Missing3311
Missing (%)33.1%
Memory size156.2 KiB
2024-04-06T17:27:38.362561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length148
Median length104
Mean length14.948871
Min length2

Characters and Unicode

Total characters99993
Distinct characters261
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)1.5%

Sample

1st row소프트웨어사업자(컴퓨터관련서비스사업)
2nd row식품소분업
3rd row작업환경측정기관
4th row항공기사용사업
5th row소프트웨어사업자(컴퓨터관련서비스사업)
ValueCountFrequency (%)
의약품판매업(의약품도매상 715
 
9.6%
소프트웨어사업자(컴퓨터관련서비스사업)/정보통신공사업 584
 
7.8%
소프트웨어사업자(컴퓨터관련서비스사업 570
 
7.6%
정보통신공사업 498
 
6.7%
식품판매업(집단급식소식품판매업 286
 
3.8%
식품소분업 230
 
3.1%
식품제조.가공업 217
 
2.9%
액화석유가스충전사업 153
 
2.1%
조경식재공사업 145
 
1.9%
의료기기판매업 130
 
1.7%
Other values (408) 3923
52.7%
2024-04-06T17:27:39.280418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9240
 
9.2%
5598
 
5.6%
( 3690
 
3.7%
) 3650
 
3.7%
2758
 
2.8%
2617
 
2.6%
2460
 
2.5%
2223
 
2.2%
2144
 
2.1%
1982
 
2.0%
Other values (251) 63631
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88970
89.0%
Open Punctuation 3690
 
3.7%
Close Punctuation 3650
 
3.7%
Other Punctuation 2330
 
2.3%
Space Separator 827
 
0.8%
Dash Punctuation 288
 
0.3%
Decimal Number 238
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9240
 
10.4%
5598
 
6.3%
2758
 
3.1%
2617
 
2.9%
2460
 
2.8%
2223
 
2.5%
2144
 
2.4%
1982
 
2.2%
1932
 
2.2%
1873
 
2.1%
Other values (238) 56143
63.1%
Other Punctuation
ValueCountFrequency (%)
/ 1269
54.5%
. 571
24.5%
· 228
 
9.8%
, 187
 
8.0%
: 75
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 137
57.6%
4 48
 
20.2%
6 48
 
20.2%
3 5
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 3690
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3650
100.0%
Space Separator
ValueCountFrequency (%)
827
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 288
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88970
89.0%
Common 11023
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9240
 
10.4%
5598
 
6.3%
2758
 
3.1%
2617
 
2.9%
2460
 
2.8%
2223
 
2.5%
2144
 
2.4%
1982
 
2.2%
1932
 
2.2%
1873
 
2.1%
Other values (238) 56143
63.1%
Common
ValueCountFrequency (%)
( 3690
33.5%
) 3650
33.1%
/ 1269
 
11.5%
827
 
7.5%
. 571
 
5.2%
- 288
 
2.6%
· 228
 
2.1%
, 187
 
1.7%
1 137
 
1.2%
: 75
 
0.7%
Other values (3) 101
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88848
88.9%
ASCII 10795
 
10.8%
None 228
 
0.2%
Compat Jamo 122
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9240
 
10.4%
5598
 
6.3%
2758
 
3.1%
2617
 
2.9%
2460
 
2.8%
2223
 
2.5%
2144
 
2.4%
1982
 
2.2%
1932
 
2.2%
1873
 
2.1%
Other values (237) 56021
63.1%
ASCII
ValueCountFrequency (%)
( 3690
34.2%
) 3650
33.8%
/ 1269
 
11.8%
827
 
7.7%
. 571
 
5.3%
- 288
 
2.7%
, 187
 
1.7%
1 137
 
1.3%
: 75
 
0.7%
4 48
 
0.4%
Other values (2) 53
 
0.5%
None
ValueCountFrequency (%)
· 228
100.0%
Compat Jamo
ValueCountFrequency (%)
122
100.0%
Distinct206
Distinct (%)8.1%
Missing7462
Missing (%)74.6%
Memory size156.2 KiB
2024-04-06T17:27:39.662114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length59
Mean length12.801812
Min length2

Characters and Unicode

Total characters32491
Distinct characters233
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)2.6%

Sample

1st row식품판매업(식용얼음판매업)
2nd row초경량비행장치사용사업
3rd row식품제조.가공업
4th row폐기물중간처분업(의료폐기물)
5th row기술사사무소(구조)/기술사사무소(토질,지질)
ValueCountFrequency (%)
의료기기제조업 516
 
16.8%
폐기물 214
 
7.0%
식품판매업(식용얼음판매업 200
 
6.5%
의료기기판매업 183
 
6.0%
액화석유가스판매사업 142
 
4.6%
의료기기수입업 132
 
4.3%
의약품판매업(의약품도매상 128
 
4.2%
폐기물중간재활용업(지정폐기물외 120
 
3.9%
폐기물최종재활용업(지정폐기물외 49
 
1.6%
지질 45
 
1.5%
Other values (237) 1337
43.6%
2024-04-06T17:27:40.538320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3078
 
9.5%
2816
 
8.7%
( 1293
 
4.0%
) 1280
 
3.9%
1229
 
3.8%
1171
 
3.6%
1108
 
3.4%
1087
 
3.3%
985
 
3.0%
894
 
2.8%
Other values (223) 17550
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28690
88.3%
Open Punctuation 1293
 
4.0%
Close Punctuation 1280
 
3.9%
Space Separator 554
 
1.7%
Other Punctuation 492
 
1.5%
Decimal Number 105
 
0.3%
Dash Punctuation 77
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3078
 
10.7%
2816
 
9.8%
1229
 
4.3%
1171
 
4.1%
1108
 
3.9%
1087
 
3.8%
985
 
3.4%
894
 
3.1%
849
 
3.0%
702
 
2.4%
Other values (209) 14771
51.5%
Other Punctuation
ValueCountFrequency (%)
/ 181
36.8%
, 125
25.4%
. 94
19.1%
· 88
17.9%
: 4
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 39
37.1%
2 27
25.7%
6 19
18.1%
4 19
18.1%
3 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 1293
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1280
100.0%
Space Separator
ValueCountFrequency (%)
554
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28690
88.3%
Common 3801
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3078
 
10.7%
2816
 
9.8%
1229
 
4.3%
1171
 
4.1%
1108
 
3.9%
1087
 
3.8%
985
 
3.4%
894
 
3.1%
849
 
3.0%
702
 
2.4%
Other values (209) 14771
51.5%
Common
ValueCountFrequency (%)
( 1293
34.0%
) 1280
33.7%
554
14.6%
/ 181
 
4.8%
, 125
 
3.3%
. 94
 
2.5%
· 88
 
2.3%
- 77
 
2.0%
1 39
 
1.0%
2 27
 
0.7%
Other values (4) 43
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28679
88.3%
ASCII 3713
 
11.4%
None 88
 
0.3%
Compat Jamo 11
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3078
 
10.7%
2816
 
9.8%
1229
 
4.3%
1171
 
4.1%
1108
 
3.9%
1087
 
3.8%
985
 
3.4%
894
 
3.1%
849
 
3.0%
702
 
2.4%
Other values (208) 14760
51.5%
ASCII
ValueCountFrequency (%)
( 1293
34.8%
) 1280
34.5%
554
14.9%
/ 181
 
4.9%
, 125
 
3.4%
. 94
 
2.5%
- 77
 
2.1%
1 39
 
1.1%
2 27
 
0.7%
6 19
 
0.5%
Other values (3) 24
 
0.6%
None
ValueCountFrequency (%)
· 88
100.0%
Compat Jamo
ValueCountFrequency (%)
11
100.0%
Distinct109
Distinct (%)6.5%
Missing8319
Missing (%)83.2%
Memory size156.2 KiB
2024-04-06T17:27:41.038144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length56
Mean length12.781083
Min length2

Characters and Unicode

Total characters21485
Distinct characters184
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)2.1%

Sample

1st row식품판매업(식품자동판매기영업)
2nd row식품소분업
3rd row폐기물종합처분업
4th row의료기기제조업
5th row의료기기수입업
ValueCountFrequency (%)
의료기기수입업 526
25.5%
폐기물 230
11.2%
식품판매업(식품자동판매기영업 197
 
9.6%
의료기기제조업 162
 
7.9%
의료기기판매업 126
 
6.1%
폐기물최종재활용업(지정폐기물외 106
 
5.1%
폐기물종합재활용업(지정폐기물외 69
 
3.4%
폐기물종합처분업 53
 
2.6%
폐기물중간재활용업(지정폐기물외 38
 
1.8%
지질 35
 
1.7%
Other values (123) 517
25.1%
2024-04-06T17:27:41.909661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2927
 
13.6%
1968
 
9.2%
945
 
4.4%
918
 
4.3%
884
 
4.1%
857
 
4.0%
) 829
 
3.9%
( 829
 
3.9%
680
 
3.2%
671
 
3.1%
Other values (174) 9977
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19121
89.0%
Close Punctuation 829
 
3.9%
Open Punctuation 829
 
3.9%
Space Separator 378
 
1.8%
Other Punctuation 258
 
1.2%
Dash Punctuation 36
 
0.2%
Decimal Number 34
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2927
 
15.3%
1968
 
10.3%
945
 
4.9%
918
 
4.8%
884
 
4.6%
857
 
4.5%
680
 
3.6%
671
 
3.5%
662
 
3.5%
553
 
2.9%
Other values (162) 8056
42.1%
Other Punctuation
ValueCountFrequency (%)
/ 131
50.8%
, 94
36.4%
· 19
 
7.4%
. 14
 
5.4%
Decimal Number
ValueCountFrequency (%)
1 17
50.0%
4 8
23.5%
6 8
23.5%
2 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 829
100.0%
Open Punctuation
ValueCountFrequency (%)
( 829
100.0%
Space Separator
ValueCountFrequency (%)
378
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19121
89.0%
Common 2364
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2927
 
15.3%
1968
 
10.3%
945
 
4.9%
918
 
4.8%
884
 
4.6%
857
 
4.5%
680
 
3.6%
671
 
3.5%
662
 
3.5%
553
 
2.9%
Other values (162) 8056
42.1%
Common
ValueCountFrequency (%)
) 829
35.1%
( 829
35.1%
378
16.0%
/ 131
 
5.5%
, 94
 
4.0%
- 36
 
1.5%
· 19
 
0.8%
1 17
 
0.7%
. 14
 
0.6%
4 8
 
0.3%
Other values (2) 9
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19121
89.0%
ASCII 2345
 
10.9%
None 19
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2927
 
15.3%
1968
 
10.3%
945
 
4.9%
918
 
4.8%
884
 
4.6%
857
 
4.5%
680
 
3.6%
671
 
3.5%
662
 
3.5%
553
 
2.9%
Other values (162) 8056
42.1%
ASCII
ValueCountFrequency (%)
) 829
35.4%
( 829
35.4%
378
16.1%
/ 131
 
5.6%
, 94
 
4.0%
- 36
 
1.5%
1 17
 
0.7%
. 14
 
0.6%
4 8
 
0.3%
6 8
 
0.3%
None
ValueCountFrequency (%)
· 19
100.0%
Distinct80
Distinct (%)5.9%
Missing8639
Missing (%)86.4%
Memory size156.2 KiB
2024-04-06T17:27:42.378119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length56
Mean length14.026451
Min length2

Characters and Unicode

Total characters19090
Distinct characters173
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)2.1%

Sample

1st row식품판매업(집단급식소식품판매업)
2nd row식품판매업(기타 식품판매업)
3rd row의료기기수입업
4th row의료기기판매업
5th row의료기기판매업
ValueCountFrequency (%)
의료기기판매업 500
27.2%
식품판매업(집단급식소식품판매업 202
 
11.0%
폐기물 191
 
10.4%
폐기물종합재활용업(지정폐기물외 101
 
5.5%
의료기기수입업 90
 
4.9%
폐기물최종재활용업(지정폐기물외 40
 
2.2%
식품판매업(기타 37
 
2.0%
식품판매업 37
 
2.0%
폐기물수집·운반업(사업장비배출시설계폐기물 35
 
1.9%
기술사사무소(상하수도)/기술사사무소(토질,지질 33
 
1.8%
Other values (103) 570
31.0%
2024-04-06T17:27:43.167407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2166
 
11.3%
1583
 
8.3%
1097
 
5.7%
1067
 
5.6%
838
 
4.4%
777
 
4.1%
732
 
3.8%
( 727
 
3.8%
726
 
3.8%
) 697
 
3.7%
Other values (163) 8680
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16677
87.4%
Open Punctuation 727
 
3.8%
Close Punctuation 697
 
3.7%
Space Separator 533
 
2.8%
Other Punctuation 275
 
1.4%
Decimal Number 128
 
0.7%
Dash Punctuation 53
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2166
 
13.0%
1583
 
9.5%
1097
 
6.6%
1067
 
6.4%
838
 
5.0%
777
 
4.7%
732
 
4.4%
726
 
4.4%
651
 
3.9%
571
 
3.4%
Other values (150) 6469
38.8%
Other Punctuation
ValueCountFrequency (%)
, 128
46.5%
/ 87
31.6%
· 40
 
14.5%
. 17
 
6.2%
: 3
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 63
49.2%
4 32
25.0%
6 32
25.0%
2 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 727
100.0%
Close Punctuation
ValueCountFrequency (%)
) 697
100.0%
Space Separator
ValueCountFrequency (%)
533
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16677
87.4%
Common 2413
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2166
 
13.0%
1583
 
9.5%
1097
 
6.6%
1067
 
6.4%
838
 
5.0%
777
 
4.7%
732
 
4.4%
726
 
4.4%
651
 
3.9%
571
 
3.4%
Other values (150) 6469
38.8%
Common
ValueCountFrequency (%)
( 727
30.1%
) 697
28.9%
533
22.1%
, 128
 
5.3%
/ 87
 
3.6%
1 63
 
2.6%
- 53
 
2.2%
· 40
 
1.7%
4 32
 
1.3%
6 32
 
1.3%
Other values (3) 21
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16677
87.4%
ASCII 2373
 
12.4%
None 40
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2166
 
13.0%
1583
 
9.5%
1097
 
6.6%
1067
 
6.4%
838
 
5.0%
777
 
4.7%
732
 
4.4%
726
 
4.4%
651
 
3.9%
571
 
3.4%
Other values (150) 6469
38.8%
ASCII
ValueCountFrequency (%)
( 727
30.6%
) 697
29.4%
533
22.5%
, 128
 
5.4%
/ 87
 
3.7%
1 63
 
2.7%
- 53
 
2.2%
4 32
 
1.3%
6 32
 
1.3%
. 17
 
0.7%
Other values (2) 4
 
0.2%
None
ValueCountFrequency (%)
· 40
100.0%

공종및면허제한그룹5
Categorical

IMBALANCE 

Distinct50
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8988 
약국
 
397
식품판매업(기타 식품판매업)
 
200
폐기물처리신고-제46조제1항제1호신고자(동식물성잔재물, 음식물류 폐기물, 유기성 오니를 퇴비나 가축의
 
73
의료기기판매업
 
69
Other values (45)
 
273

Length

Max length58
Median length4
Mean length4.9415
Min length2

Unique

Unique17 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row식품판매업(기타 식품판매업)
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8988
89.9%
약국 397
 
4.0%
식품판매업(기타 식품판매업) 200
 
2.0%
폐기물처리신고-제46조제1항제1호신고자(동식물성잔재물, 음식물류 폐기물, 유기성 오니를 퇴비나 가축의 73
 
0.7%
의료기기판매업 69
 
0.7%
식품판매업(유통전문판매업) 40
 
0.4%
폐기물종합재활용업(지정폐기물외 폐기물) 40
 
0.4%
의약품판매업(의약품도매상) 35
 
0.4%
폐기물최종재활용업(지정폐기물외 폐기물) 20
 
0.2%
의료기기수입업 16
 
0.2%
Other values (40) 122
 
1.2%

Length

2024-04-06T17:27:43.530136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8988
83.2%
약국 397
 
3.7%
식품판매업(기타 200
 
1.9%
식품판매업 200
 
1.9%
폐기물 145
 
1.3%
음식물류 79
 
0.7%
폐기물처리신고-제46조제1항제1호신고자(동식물성잔재물 73
 
0.7%
유기성 73
 
0.7%
오니를 73
 
0.7%
퇴비나 73
 
0.7%
Other values (76) 507
 
4.7%

공종및면허제한그룹6
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9692 
식품판매업(유통전문판매업)
 
198
폐기물종합재활용업(지정폐기물외 폐기물)
 
16
폐기물처리신고-제46조제1항제1호신고자(유기성 오니나 음식물류 폐기물을 이용하여 지렁이분변토를 만듦)
 
12
폐기물처리신고-제46조제1항제1호신고자(동식물성잔재물, 음식물류 폐기물, 유기성 오니를 퇴비나 가축의
 
12
Other values (32)
 
70

Length

Max length58
Median length4
Mean length4.5087
Min length4

Unique

Unique16 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row식품판매업(유통전문판매업)
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9692
96.9%
식품판매업(유통전문판매업) 198
 
2.0%
폐기물종합재활용업(지정폐기물외 폐기물) 16
 
0.2%
폐기물처리신고-제46조제1항제1호신고자(유기성 오니나 음식물류 폐기물을 이용하여 지렁이분변토를 만듦) 12
 
0.1%
폐기물처리신고-제46조제1항제1호신고자(동식물성잔재물, 음식물류 폐기물, 유기성 오니를 퇴비나 가축의 12
 
0.1%
폐기물처리신고-제46조제1항제1호신고자(동식물성 잔재물, 왕겨 또는 쌀겨 등을 비료로 제조하거나 사료로 9
 
0.1%
축산물판매업(식육판매업) 5
 
0.1%
폐기물최종재활용업(지정폐기물외 폐기물) 5
 
0.1%
폐기물종합재활용업(지정폐기물외 폐기물-소각열회수시설이용 에너지회수) 4
 
< 0.1%
폐기물수집.운반업(생활폐기물) 4
 
< 0.1%
Other values (27) 43
 
0.4%

Length

2024-04-06T17:27:43.811270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9692
94.2%
식품판매업(유통전문판매업 198
 
1.9%
폐기물 36
 
0.3%
음식물류 24
 
0.2%
폐기물종합재활용업(지정폐기물외 22
 
0.2%
또는 13
 
0.1%
오니나 12
 
0.1%
폐기물을 12
 
0.1%
이용하여 12
 
0.1%
지렁이분변토를 12
 
0.1%
Other values (61) 258
 
2.5%

공종및면허제한그룹7
Categorical

IMBALANCE 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9944 
폐기물처리신고-제46조제1항제1호신고자(유기성 오니나 음식물류 폐기물을 이용하여 지렁이분변토를 만듦)
 
6
폐기물수집.운반업(생활폐기물)
 
5
축산물판매업(축산물유통전문판매업)
 
5
폐기물처리신고-제46조제1항제1호신고자(동식물성잔재물, 음식물류 폐기물, 유기성 오니를 퇴비나 가축의
 
5
Other values (18)
 
35

Length

Max length58
Median length4
Mean length4.1304
Min length4

Unique

Unique9 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9944
99.4%
폐기물처리신고-제46조제1항제1호신고자(유기성 오니나 음식물류 폐기물을 이용하여 지렁이분변토를 만듦) 6
 
0.1%
폐기물수집.운반업(생활폐기물) 5
 
0.1%
축산물판매업(축산물유통전문판매업) 5
 
0.1%
폐기물처리신고-제46조제1항제1호신고자(동식물성잔재물, 음식물류 폐기물, 유기성 오니를 퇴비나 가축의 5
 
0.1%
폐기물최종처분업(지정폐기물외 폐기물) 4
 
< 0.1%
폐기물종합재활용업(지정폐기물외 폐기물) 4
 
< 0.1%
폐기물중간재활용업(지정폐기물외 폐기물) 4
 
< 0.1%
폐기물수집·운반업(사업장비배출시설계폐기물) 3
 
< 0.1%
기간통신사업/전송망사업 3
 
< 0.1%
Other values (13) 17
 
0.2%

Length

2024-04-06T17:27:44.093965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9944
98.5%
폐기물 18
 
0.2%
음식물류 11
 
0.1%
오니나 6
 
0.1%
폐기물을 6
 
0.1%
이용하여 6
 
0.1%
지렁이분변토를 6
 
0.1%
만듦 6
 
0.1%
폐기물처리신고-제46조제1항제1호신고자(유기성 6
 
0.1%
유기성 5
 
< 0.1%
Other values (37) 84
 
0.8%
Distinct11
Distinct (%)55.0%
Missing9980
Missing (%)99.8%
Memory size156.2 KiB
2024-04-06T17:27:44.489528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length15.7
Min length7

Characters and Unicode

Total characters314
Distinct characters55
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)35.0%

Sample

1st row폐기물수집·운반업(사업장비배출시설계폐기물)
2nd row폐기물중간처분업(지정폐기물외 폐기물-기계적처리전문)
3rd row폐기물중간처분업(지정폐기물외 폐기물-소각전문)
4th row폐기물수집.운반업(생활폐기물)
5th row별정통신사업/전송망사업
ValueCountFrequency (%)
폐기물종합처분업 6
21.4%
폐기물 4
14.3%
별정통신사업/전송망사업 3
10.7%
폐기물중간처분업(지정폐기물외 3
10.7%
폐기물-소각전문 2
 
7.1%
폐기물종합재활용업(지정폐기물외 2
 
7.1%
폐기물수집·운반업(사업장비배출시설계폐기물 1
 
3.6%
폐기물-기계적처리전문 1
 
3.6%
폐기물수집.운반업(생활폐기물 1
 
3.6%
폐기물최종처분업(지정폐기물외 1
 
3.6%
Other values (4) 4
14.3%
2024-04-06T17:27:45.061621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
11.1%
34
 
10.8%
34
 
10.8%
23
 
7.3%
11
 
3.5%
11
 
3.5%
11
 
3.5%
( 10
 
3.2%
) 10
 
3.2%
10
 
3.2%
Other values (45) 125
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 278
88.5%
Open Punctuation 10
 
3.2%
Close Punctuation 10
 
3.2%
Space Separator 8
 
2.5%
Other Punctuation 5
 
1.6%
Dash Punctuation 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
35
 
12.6%
34
 
12.2%
34
 
12.2%
23
 
8.3%
11
 
4.0%
11
 
4.0%
11
 
4.0%
10
 
3.6%
10
 
3.6%
8
 
2.9%
Other values (38) 91
32.7%
Other Punctuation
ValueCountFrequency (%)
/ 3
60.0%
· 1
 
20.0%
. 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 278
88.5%
Common 36
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
35
 
12.6%
34
 
12.2%
34
 
12.2%
23
 
8.3%
11
 
4.0%
11
 
4.0%
11
 
4.0%
10
 
3.6%
10
 
3.6%
8
 
2.9%
Other values (38) 91
32.7%
Common
ValueCountFrequency (%)
( 10
27.8%
) 10
27.8%
8
22.2%
- 3
 
8.3%
/ 3
 
8.3%
· 1
 
2.8%
. 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 278
88.5%
ASCII 35
 
11.1%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
35
 
12.6%
34
 
12.2%
34
 
12.2%
23
 
8.3%
11
 
4.0%
11
 
4.0%
11
 
4.0%
10
 
3.6%
10
 
3.6%
8
 
2.9%
Other values (38) 91
32.7%
ASCII
ValueCountFrequency (%)
( 10
28.6%
) 10
28.6%
8
22.9%
- 3
 
8.6%
/ 3
 
8.6%
. 1
 
2.9%
None
ValueCountFrequency (%)
· 1
100.0%

입찰공고URL
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
http://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
6519 
http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
3481 

Length

Max length54
Median length52
Mean length52.6962
Min length52

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttp://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
2nd rowhttp://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
3rd rowhttp://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
4th rowhttp://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
5th rowhttp://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do

Common Values

ValueCountFrequency (%)
http://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do 6519
65.2%
http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do 3481
34.8%

Length

2024-04-06T17:27:45.366181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:27:45.579361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
http://www.d2b.go.kr/pdb/bid/goodsbidannouncelist.do 6519
65.2%
http://www.d2b.go.kr/psb/bid/servicebidannouncelist.do 3481
34.8%

Sample

입찰공고번호입찰공고차수참조공고번호참조공고차수나라장터공고여부입찰공고명입찰공고상태명입찰공고일자업무구분명공동계약여부공동수급방식명전자입찰여부계약체결형태명계약체결방법명낙찰자결정방법명공고기관명공고기관코드공고기관담당자부서명공고기관담당자명수요기관명수요기관코드수요기관담당자부서명수요기관담당자명설명회실시여부설명회실시일자설명회실시시각설명회실시장소입찰참가자격등록마감일자입찰참가자격등록마감시각입찰마감일자입찰마감시각개찰일자개찰시각개찰장소예산금액배정예산금액(설계금액)지역제한여부참가가능지역명공종및면허제한그룹1공종및면허제한그룹2공종및면허제한그룹3공종및면허제한그룹4공종및면허제한그룹5공종및면허제한그룹6공종및면허제한그룹7공종및면허제한그룹8입찰공고URL
23459LCF077012017LCF0770298561Y공업용 산소용기캡 등 2항목 구매(물자)정상공고2017-08-29물품N<NA>Y총액계약제한경쟁적격심사제육군군수사령부1290307육군군수사령부최현식육군군수사령부1290307육군군수사령부최현식N<NA><NA><NA>2017-09-0510:00:002017-09-0610:00:002017-09-0610:30:00국방전자조달 시스템1827600018276500N<NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
19856LDH039822017LDH0398188462YK9베어링등49종구매재공고2017-06-14물품N<NA>Y총액계약제한경쟁적격심사제제2879부대ZD00347제2879부대오해정제2879부대ZD00347제2879부대오해정N<NA><NA><NA>2017-06-2210:00:002017-06-2211:00:002017-06-2211:30:00국방전자조달 시스템3060900031528080N<NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
15141MDS002012023MDS0020399431Y서버 원격 데스크탑 접속 SW 구매긴급공고2023-09-13물품N<NA>Y총액계약제한경쟁적격심사제제3707부대1290494제3707부대이동철제3707부대1290494제3707부대이동철N<NA><NA><NA>2023-09-1815:00:002023-09-1910:00:002023-09-1910:30:00국방전자조달 시스템2609803926620000Y경기도소프트웨어사업자(컴퓨터관련서비스사업)<NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
12670SCF013722022SCF0137026062Y베이크드빈스 구매재공고2022-03-03물품N<NA>Y단가계약제한경쟁적격심사제해군군수사령부ZD00289해군군수사령부이금옥해군군수사령부ZD00289해군군수사령부이금옥N<NA><NA><NA>2022-03-1014:00:002022-03-1110:00:002022-03-1110:30:00국방전자조달 시스템8722451950Y경상남도식품소분업식품판매업(식용얼음판매업)식품판매업(식품자동판매기영업)식품판매업(집단급식소식품판매업)식품판매업(기타 식품판매업)식품판매업(유통전문판매업)<NA><NA>http://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
17802EHA014912018EHA014910451Y밴 1¼톤 포사격지휘소용정상공고2018-12-12물품N<NA>Y총액계약일반경쟁적격심사제방위사업청1690000일반장비계약팀 (구:19.09.16)임형구방위사업청1690000일반장비계약팀 (구:19.09.16)임형구N<NA><NA><NA>2018-12-1913:30:002018-12-2013:30:002018-12-2014:30:00국방전자조달 시스템16097580001637964900N<NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
15747UMM016012023UMM0160098871Y23-F-격오지부대 작업환경측정 용역정상공고2023-04-05용역N<NA>Y총액계약일반경쟁적격심사제국군재정관리단ZD00303국군재정관리단신철호국군재정관리단ZD00303국군재정관리단신철호N<NA><NA><NA>2023-04-1211:00:002023-04-1310:30:002023-04-1311:00:00국방전자조달 시스템257800000262963440N<NA>작업환경측정기관<NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
7605HDQ004512021HDQ0045388441Y무인항공기 기지촬영 용역긴급공고2021-09-16용역N<NA>Y총액계약제한경쟁적격심사제제20전투비행단ZD00161제20전투비행단이보미제20전투비행단ZD00161제20전투비행단이보미N<NA><NA><NA>2021-09-2316:00:002021-09-2411:00:002021-09-2411:30:00국방전자조달 시스템2359000023760000N<NA>항공기사용사업초경량비행장치사용사업<NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
18430SCF003812018SCF0038018871Y직류 전자부하 1EA정상공고2018-02-09물품N<NA>Y총액계약제한경쟁적격심사제해군군수사령부ZD00289해군군수사령부이준호해군군수사령부ZD00289해군군수사령부이준호N<NA><NA><NA>2018-02-1914:00:002018-02-2010:00:002018-02-2010:30:00국방전자조달 시스템47900004941000N<NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
10933LCG006012022LCG0060207321Y22년 상용SW(웹 침투테스트 도구) 구매긴급공고2022-05-31물품N<NA>Y총액계약제한경쟁적격심사제육군본부1290298육군본부김성현육군본부1290298육군본부김성현N<NA><NA><NA>2022-06-0710:00:002022-06-0810:00:002022-06-0810:30:00국방전자조달 시스템3025000030250000N<NA>소프트웨어사업자(컴퓨터관련서비스사업)<NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
12449MDR000312022MDR0003030971Y00부대 설계용역(22-충-국-13)긴급공고2022-02-11용역Y공동Y총액계약제한경쟁적격심사제제9965부대ZD00075제9965부대이다겸제9965부대ZD00075제9965부대이다겸N<NA><NA><NA>2022-02-2116:00:002022-02-2210:00:002022-02-2210:30:00국방전자조달 시스템8113500082758000Y충청남도건축사사무소<NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
입찰공고번호입찰공고차수참조공고번호참조공고차수나라장터공고여부입찰공고명입찰공고상태명입찰공고일자업무구분명공동계약여부공동수급방식명전자입찰여부계약체결형태명계약체결방법명낙찰자결정방법명공고기관명공고기관코드공고기관담당자부서명공고기관담당자명수요기관명수요기관코드수요기관담당자부서명수요기관담당자명설명회실시여부설명회실시일자설명회실시시각설명회실시장소입찰참가자격등록마감일자입찰참가자격등록마감시각입찰마감일자입찰마감시각개찰일자개찰시각개찰장소예산금액배정예산금액(설계금액)지역제한여부참가가능지역명공종및면허제한그룹1공종및면허제한그룹2공종및면허제한그룹3공종및면허제한그룹4공종및면허제한그룹5공종및면허제한그룹6공종및면허제한그룹7공종및면허제한그룹8입찰공고URL
22565LBA004712020LBA0047072501Y20년 부대조달 후식(마시는 발효유)정상공고2020-03-03물품N<NA>Y단가계약제한경쟁적격심사제제2167부대ZD00053제 2167부대홍진혁제2167부대ZD00053제 2167부대홍진혁N<NA><NA><NA>2020-03-1016:30:002020-03-1110:00:002020-03-1110:30:00국방전자조달 시스템50089950000N<NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
15752UMM014912023UMM0149102861Y23-F-활주로 제초 용역정상공고2023-03-29용역N<NA>Y총액계약제한경쟁적격심사제국군재정관리단ZD00303국군재정관리단신철호국군재정관리단ZD00303국군재정관리단신철호N<NA><NA><NA>2023-04-0511:00:002023-04-0610:30:002023-04-0611:00:00국방전자조달 시스템160160000170880000Y경상북도조경식재ㆍ시설물공사업<NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
1827UMM047622018UMM0476309422Y국방광대역 통합망 T-SDN구축 U실험사업연기공고2018-08-24용역Y공동Y총액계약협상에의한계약(전자)협상국군재정관리단ZD00303국군재정관리단임경국국군재정관리단ZD00303국군재정관리단임경국N<NA><NA><NA>2018-09-0511:00:002018-09-0611:00:002018-09-1011:00:00국방전자조달 시스템462000000462000000N<NA>소프트웨어사업자(컴퓨터관련서비스사업)/정보통신공사업<NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
16742LDH098812019LDH0988364631Y회로카드조립체 칩세라믹커패시터50종 구매정상공고2019-09-30물품N<NA>Y총액계약제한경쟁적격심사제제2879부대ZD00347제2879부대이대원제2879부대ZD00347제2879부대이대원N<NA><NA><NA>2019-10-0811:00:002019-10-0812:00:002019-10-0813:00:00국방전자조달 시스템112680150112680150N<NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
8805MCN000712021MCN0007059491Y21년 00지역 정기소독정상공고2021-02-24용역N<NA>Y총액계약제한경쟁적격심사제국방부근무지원단1290461국방부근무지원단정우진국방부근무지원단1290461국방부근무지원단정우진N<NA><NA><NA>2021-03-0410:00:002021-03-0513:00:002021-03-0514:00:00국방전자조달 시스템2462000025130500Y서울특별시소독업<NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
14164LDG008112023LDG0081267781Y탄약폐기물(PCP상자) 위탁처리 용역정상공고2023-06-22용역Y분담Y총액계약일반경쟁적격심사제육군 제3808부대ZD00086육군 제3808부대김종상육군 제3808부대ZD00086육군 제3808부대김종상N<NA><NA><NA>2023-06-2917:00:002023-06-3010:00:002023-06-3010:30:00국방전자조달 시스템187000000187000000N<NA>폐기물종합처분업폐기물중간처분업(지정폐기물)<NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
21349HCF008012021HCF0080113321Y자동화 점검장비(GR2287i) 유지보수긴급공고2021-04-02용역N<NA>Y총액계약제한경쟁최저가격제공군군수사령부ZD00306공군군수사령부김규동공군군수사령부ZD00306공군군수사령부김규동N<NA><NA><NA>2021-04-0716:00:002021-04-0810:00:002021-04-0810:30:00국방전자조달 시스템<NA>24959260N<NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
18188UMM056412016UMM0564276361Y모사전송기 구매정상공고2016-08-31물품N<NA>Y총액계약제한경쟁적격심사제국군재정관리단ZD00303국군재정관리단곽형신국군재정관리단ZD00303국군재정관리단곽형신N<NA><NA><NA>2016-09-0711:00:002016-09-0810:30:002016-09-0811:00:00국방전자조달 시스템138600000150140000N<NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
22635LDH046012019LDH0460138051Y155밀리곡사포 와셔등7종 구매정상공고2019-04-23물품N<NA>Y총액계약제한경쟁적격심사제제2879부대ZD00347제2879부대이대원제2879부대ZD00347제2879부대이대원N<NA><NA><NA>2019-05-0111:00:002019-05-0112:00:002019-05-0113:00:00국방전자조달 시스템13500001390640N<NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do
22777LCF041612018LCF0416050951Y엔진연료펌프 1항목 구매 (궤도)정상공고2018-02-26물품N<NA>Y총액계약제한경쟁적격심사제육군군수사령부1290307육군군수사령부오태한육군군수사령부1290307육군군수사령부오태한N<NA><NA><NA>2018-03-0510:00:002018-03-0610:00:002018-03-0610:30:00국방전자조달 시스템35770003577903N<NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/pdb/bid/goodsBidAnnounceList.do