Overview

Dataset statistics

Number of variables25
Number of observations1211
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory236.7 KiB
Average record size in memory200.1 B

Variable types

Text15
Categorical7
DateTime3

Dataset

Description본 데이터는 KOTRA가 최근 3개년동안 발굴하고 보유한 해외 유망프로젝트(건설, ICT, 조달) 정보입니다. 에너지, 인프라, 건물 등 다양한 분야에 대한 해외프로젝트의 정보가 기재되어 있습니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15116431/fileData.do

Alerts

발굴실적 인정여부 has constant value ""Constant
프로젝트 소스 is highly imbalanced (54.3%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2024-04-17 19:10:13.060076
Analysis finished2024-04-17 19:10:15.245404
Duration2.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

UNIQUE 

Distinct1211
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-04-18T04:10:15.435894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters12110
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1211 ?
Unique (%)100.0%

Sample

1st row2020-00013
2nd row2020-00014
3rd row2020-00024
4th row2020-00029
5th row2020-00035
ValueCountFrequency (%)
2020-00013 1
 
0.1%
2022-00282 1
 
0.1%
2022-00278 1
 
0.1%
2022-00277 1
 
0.1%
2022-00276 1
 
0.1%
2022-00275 1
 
0.1%
2022-00274 1
 
0.1%
2022-00273 1
 
0.1%
2022-00272 1
 
0.1%
2022-00271 1
 
0.1%
Other values (1201) 1201
99.2%
2024-04-18T04:10:15.774647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4138
34.2%
2 3368
27.8%
- 1211
 
10.0%
1 847
 
7.0%
4 394
 
3.3%
3 380
 
3.1%
7 368
 
3.0%
8 367
 
3.0%
6 359
 
3.0%
5 355
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10899
90.0%
Dash Punctuation 1211
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4138
38.0%
2 3368
30.9%
1 847
 
7.8%
4 394
 
3.6%
3 380
 
3.5%
7 368
 
3.4%
8 367
 
3.4%
6 359
 
3.3%
5 355
 
3.3%
9 323
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 1211
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12110
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4138
34.2%
2 3368
27.8%
- 1211
 
10.0%
1 847
 
7.0%
4 394
 
3.3%
3 380
 
3.1%
7 368
 
3.0%
8 367
 
3.0%
6 359
 
3.0%
5 355
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12110
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4138
34.2%
2 3368
27.8%
- 1211
 
10.0%
1 847
 
7.0%
4 394
 
3.3%
3 380
 
3.1%
7 368
 
3.0%
8 367
 
3.0%
6 359
 
3.0%
5 355
 
2.9%
Distinct1206
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-04-18T04:10:16.025898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length165
Median length100
Mean length41.255161
Min length6

Characters and Unicode

Total characters49960
Distinct characters632
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1202 ?
Unique (%)99.3%

Sample

1st rowHradec Kralove 축구 경기장 건설
2nd row아르헨티나 주요 항로 확장 프로젝트
3rd rowConstruction Of Turkistan City Bypass
4th rowBadung Integrated Utility Network Development
5th rowMisfah 하수처리장(Sewage Treatment Plant, STP) 건설 프로젝트
ValueCountFrequency (%)
프로젝트 228
 
2.8%
project 221
 
2.7%
of 194
 
2.4%
134
 
1.6%
and 123
 
1.5%
건설 91
 
1.1%
80
 
1.0%
plant 76
 
0.9%
power 71
 
0.9%
in 67
 
0.8%
Other values (3354) 6889
84.3%
2024-04-18T04:10:16.665964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7134
 
14.3%
e 2786
 
5.6%
a 2757
 
5.5%
n 2337
 
4.7%
t 2291
 
4.6%
o 2288
 
4.6%
r 2206
 
4.4%
i 2079
 
4.2%
s 1249
 
2.5%
l 1160
 
2.3%
Other values (622) 23673
47.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26336
52.7%
Other Letter 8269
 
16.6%
Space Separator 7134
 
14.3%
Uppercase Letter 5994
 
12.0%
Decimal Number 811
 
1.6%
Close Punctuation 354
 
0.7%
Open Punctuation 353
 
0.7%
Dash Punctuation 351
 
0.7%
Other Punctuation 319
 
0.6%
Currency Symbol 15
 
< 0.1%
Other values (5) 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
348
 
4.2%
327
 
4.0%
273
 
3.3%
248
 
3.0%
197
 
2.4%
189
 
2.3%
154
 
1.9%
141
 
1.7%
137
 
1.7%
135
 
1.6%
Other values (529) 6120
74.0%
Lowercase Letter
ValueCountFrequency (%)
e 2786
10.6%
a 2757
10.5%
n 2337
 
8.9%
t 2291
 
8.7%
o 2288
 
8.7%
r 2206
 
8.4%
i 2079
 
7.9%
s 1249
 
4.7%
l 1160
 
4.4%
c 1024
 
3.9%
Other values (17) 6159
23.4%
Uppercase Letter
ValueCountFrequency (%)
P 810
13.5%
S 574
 
9.6%
C 513
 
8.6%
M 385
 
6.4%
T 356
 
5.9%
A 318
 
5.3%
R 305
 
5.1%
D 271
 
4.5%
E 271
 
4.5%
I 258
 
4.3%
Other values (17) 1933
32.2%
Other Punctuation
ValueCountFrequency (%)
, 114
35.7%
. 51
16.0%
/ 45
 
14.1%
: 45
 
14.1%
& 39
 
12.2%
" 13
 
4.1%
# 3
 
0.9%
' 3
 
0.9%
· 2
 
0.6%
; 2
 
0.6%
Other values (2) 2
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 216
26.6%
1 139
17.1%
2 138
17.0%
3 79
 
9.7%
5 71
 
8.8%
4 51
 
6.3%
8 34
 
4.2%
6 32
 
3.9%
7 26
 
3.2%
9 25
 
3.1%
Close Punctuation
ValueCountFrequency (%)
) 274
77.4%
] 78
 
22.0%
2
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 274
77.6%
[ 78
 
22.1%
1
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 7
87.5%
= 1
 
12.5%
Final Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
7134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 351
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Initial Punctuation
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 32328
64.7%
Common 9359
 
18.7%
Hangul 8155
 
16.3%
Han 114
 
0.2%
Cyrillic 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
348
 
4.3%
327
 
4.0%
273
 
3.3%
248
 
3.0%
197
 
2.4%
189
 
2.3%
154
 
1.9%
141
 
1.7%
137
 
1.7%
135
 
1.7%
Other values (474) 6006
73.6%
Latin
ValueCountFrequency (%)
e 2786
 
8.6%
a 2757
 
8.5%
n 2337
 
7.2%
t 2291
 
7.1%
o 2288
 
7.1%
r 2206
 
6.8%
i 2079
 
6.4%
s 1249
 
3.9%
l 1160
 
3.6%
c 1024
 
3.2%
Other values (45) 12151
37.6%
Han
ValueCountFrequency (%)
29
25.4%
17
 
14.9%
3
 
2.6%
3
 
2.6%
3
 
2.6%
3
 
2.6%
2
 
1.8%
2
 
1.8%
2
 
1.8%
2
 
1.8%
Other values (45) 48
42.1%
Common
ValueCountFrequency (%)
7134
76.2%
- 351
 
3.8%
) 274
 
2.9%
( 274
 
2.9%
0 216
 
2.3%
1 139
 
1.5%
2 138
 
1.5%
, 114
 
1.2%
3 79
 
0.8%
] 78
 
0.8%
Other values (27) 562
 
6.0%
Cyrillic
ValueCountFrequency (%)
А 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41671
83.4%
Hangul 8155
 
16.3%
CJK 114
 
0.2%
Punctuation 8
 
< 0.1%
None 6
 
< 0.1%
Cyrillic 4
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7134
17.1%
e 2786
 
6.7%
a 2757
 
6.6%
n 2337
 
5.6%
t 2291
 
5.5%
o 2288
 
5.5%
r 2206
 
5.3%
i 2079
 
5.0%
s 1249
 
3.0%
l 1160
 
2.8%
Other values (73) 15384
36.9%
Hangul
ValueCountFrequency (%)
348
 
4.3%
327
 
4.0%
273
 
3.3%
248
 
3.0%
197
 
2.4%
189
 
2.3%
154
 
1.9%
141
 
1.7%
137
 
1.7%
135
 
1.7%
Other values (474) 6006
73.6%
CJK
ValueCountFrequency (%)
29
25.4%
17
 
14.9%
3
 
2.6%
3
 
2.6%
3
 
2.6%
3
 
2.6%
2
 
1.8%
2
 
1.8%
2
 
1.8%
2
 
1.8%
Other values (45) 48
42.1%
Punctuation
ValueCountFrequency (%)
4
50.0%
3
37.5%
1
 
12.5%
Cyrillic
ValueCountFrequency (%)
А 4
100.0%
None
ValueCountFrequency (%)
· 2
33.3%
2
33.3%
1
16.7%
ł 1
16.7%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%

중분류
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
건설플랜트
715 
공공조달
334 
ICT융복합
162 

Length

Max length6
Median length5
Mean length4.8579686
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건설플랜트 715
59.0%
공공조달 334
27.6%
ICT융복합 162
 
13.4%

Length

2024-04-18T04:10:16.777946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:10:16.861807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건설플랜트 715
59.0%
공공조달 334
27.6%
ict융복합 162
 
13.4%
Distinct91
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-04-18T04:10:17.062918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.9752271
Min length2

Characters and Unicode

Total characters8447
Distinct characters154
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.8%

Sample

1st row건축(레저)
2nd row토목(항만)
3rd row토목(도로)
4th row도시(지하공간)
5th row환경(상하수도)
ValueCountFrequency (%)
의료의약 78
 
5.7%
기타 74
 
5.4%
토목(도로 74
 
5.4%
신재생(태양광 73
 
5.3%
전기 50
 
3.6%
전자 50
 
3.6%
환경(폐기물 46
 
3.3%
환경(상하수도 41
 
3.0%
스마트시티(교통/물류 39
 
2.8%
기계 37
 
2.7%
Other values (88) 817
59.2%
2024-04-18T04:10:17.402239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 874
 
10.3%
) 874
 
10.3%
284
 
3.4%
248
 
2.9%
212
 
2.5%
209
 
2.5%
205
 
2.4%
183
 
2.2%
181
 
2.1%
173
 
2.0%
Other values (144) 5004
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6052
71.6%
Open Punctuation 874
 
10.3%
Close Punctuation 874
 
10.3%
Other Punctuation 307
 
3.6%
Uppercase Letter 172
 
2.0%
Space Separator 168
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
284
 
4.7%
248
 
4.1%
212
 
3.5%
209
 
3.5%
205
 
3.4%
183
 
3.0%
181
 
3.0%
173
 
2.9%
160
 
2.6%
156
 
2.6%
Other values (129) 4041
66.8%
Uppercase Letter
ValueCountFrequency (%)
N 38
22.1%
A 27
15.7%
D 27
15.7%
I 23
13.4%
T 23
13.4%
L 11
 
6.4%
G 11
 
6.4%
S 8
 
4.7%
E 4
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 168
54.7%
. 81
26.4%
/ 58
 
18.9%
Open Punctuation
ValueCountFrequency (%)
( 874
100.0%
Close Punctuation
ValueCountFrequency (%)
) 874
100.0%
Space Separator
ValueCountFrequency (%)
168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6052
71.6%
Common 2223
 
26.3%
Latin 172
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
284
 
4.7%
248
 
4.1%
212
 
3.5%
209
 
3.5%
205
 
3.4%
183
 
3.0%
181
 
3.0%
173
 
2.9%
160
 
2.6%
156
 
2.6%
Other values (129) 4041
66.8%
Latin
ValueCountFrequency (%)
N 38
22.1%
A 27
15.7%
D 27
15.7%
I 23
13.4%
T 23
13.4%
L 11
 
6.4%
G 11
 
6.4%
S 8
 
4.7%
E 4
 
2.3%
Common
ValueCountFrequency (%)
( 874
39.3%
) 874
39.3%
168
 
7.6%
, 168
 
7.6%
. 81
 
3.6%
/ 58
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6052
71.6%
ASCII 2395
 
28.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 874
36.5%
) 874
36.5%
168
 
7.0%
, 168
 
7.0%
. 81
 
3.4%
/ 58
 
2.4%
N 38
 
1.6%
A 27
 
1.1%
D 27
 
1.1%
I 23
 
1.0%
Other values (5) 57
 
2.4%
Hangul
ValueCountFrequency (%)
284
 
4.7%
248
 
4.1%
212
 
3.5%
209
 
3.5%
205
 
3.4%
183
 
3.0%
181
 
3.0%
173
 
2.9%
160
 
2.6%
156
 
2.6%
Other values (129) 4041
66.8%
Distinct87
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-04-18T04:10:17.583503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.5028902
Min length2

Characters and Unicode

Total characters4242
Distinct characters124
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

Unique15 ?
Unique (%)1.2%

Sample

1st row체코
2nd row아르헨티나
3rd row카자흐스탄
4th row인도네시아
5th row오만
ValueCountFrequency (%)
베트남 113
 
9.3%
미국 84
 
6.9%
중국 71
 
5.9%
인도 60
 
5.0%
우즈베키스탄 42
 
3.5%
아랍에미리트 38
 
3.1%
멕시코 37
 
3.1%
러시아연방 36
 
3.0%
필리핀 34
 
2.8%
태국 33
 
2.7%
Other values (77) 663
54.7%
2024-04-18T04:10:17.870357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
324
 
7.6%
210
 
5.0%
166
 
3.9%
156
 
3.7%
155
 
3.7%
139
 
3.3%
132
 
3.1%
131
 
3.1%
129
 
3.0%
123
 
2.9%
Other values (114) 2577
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4240
> 99.9%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
324
 
7.6%
210
 
5.0%
166
 
3.9%
156
 
3.7%
155
 
3.7%
139
 
3.3%
132
 
3.1%
131
 
3.1%
129
 
3.0%
123
 
2.9%
Other values (112) 2575
60.7%
Uppercase Letter
ValueCountFrequency (%)
U 1
50.0%
E 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4240
> 99.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
324
 
7.6%
210
 
5.0%
166
 
3.9%
156
 
3.7%
155
 
3.7%
139
 
3.3%
132
 
3.1%
131
 
3.1%
129
 
3.0%
123
 
2.9%
Other values (112) 2575
60.7%
Latin
ValueCountFrequency (%)
U 1
50.0%
E 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4240
> 99.9%
ASCII 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
324
 
7.6%
210
 
5.0%
166
 
3.9%
156
 
3.7%
155
 
3.7%
139
 
3.3%
132
 
3.1%
131
 
3.1%
129
 
3.0%
123
 
2.9%
Other values (112) 2575
60.7%
ASCII
ValueCountFrequency (%)
U 1
50.0%
E 1
50.0%
Distinct100
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-04-18T04:10:18.052601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.5821635
Min length5

Characters and Unicode

Total characters7971
Distinct characters146
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

Unique10 ?
Unique (%)0.8%

Sample

1st row프라하무역관
2nd row부에노스아이레스무역관
3rd row알마티무역관
4th row자카르타무역관
5th row무스카트무역관
ValueCountFrequency (%)
하노이무역관 84
 
6.9%
타슈켄트무역관 42
 
3.5%
두바이무역관 38
 
3.1%
멕시코시티무역관 37
 
3.1%
마닐라무역관 34
 
2.8%
방콕무역관 33
 
2.7%
상파울루무역관 31
 
2.6%
바르샤바무역관 30
 
2.5%
뉴욕무역관 28
 
2.3%
아순시온무역관 28
 
2.3%
Other values (90) 826
68.2%
2024-04-18T04:10:18.334882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1216
 
15.3%
1211
 
15.2%
1211
 
15.2%
213
 
2.7%
198
 
2.5%
158
 
2.0%
143
 
1.8%
133
 
1.7%
113
 
1.4%
113
 
1.4%
Other values (136) 3262
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7971
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1216
 
15.3%
1211
 
15.2%
1211
 
15.2%
213
 
2.7%
198
 
2.5%
158
 
2.0%
143
 
1.8%
133
 
1.7%
113
 
1.4%
113
 
1.4%
Other values (136) 3262
40.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7971
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1216
 
15.3%
1211
 
15.2%
1211
 
15.2%
213
 
2.7%
198
 
2.5%
158
 
2.0%
143
 
1.8%
133
 
1.7%
113
 
1.4%
113
 
1.4%
Other values (136) 3262
40.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7971
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1216
 
15.3%
1211
 
15.2%
1211
 
15.2%
213
 
2.7%
198
 
2.5%
158
 
2.0%
143
 
1.8%
133
 
1.7%
113
 
1.4%
113
 
1.4%
Other values (136) 3262
40.9%
Distinct957
Distinct (%)79.1%
Missing1
Missing (%)0.1%
Memory size9.6 KiB
2024-04-18T04:10:18.607472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length74
Mean length18.038843
Min length2

Characters and Unicode

Total characters21827
Distinct characters473
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique841 ?
Unique (%)69.5%

Sample

1st rowHradec Kralove
2nd rowBuenos Aires주 및 Santa Fe주
3rd rowTurkistan
4th rowBali
5th rowMisfah
ValueCountFrequency (%)
베트남 82
 
2.3%
city 54
 
1.5%
of 51
 
1.4%
province 51
 
1.4%
region 49
 
1.3%
45
 
1.2%
and 36
 
1.0%
uae 25
 
0.7%
district 24
 
0.7%
21
 
0.6%
Other values (1784) 3202
88.0%
2024-04-18T04:10:19.007952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2555
 
11.7%
a 2020
 
9.3%
i 1117
 
5.1%
n 1077
 
4.9%
e 941
 
4.3%
o 822
 
3.8%
r 821
 
3.8%
t 625
 
2.9%
u 521
 
2.4%
s 508
 
2.3%
Other values (463) 10820
49.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11907
54.6%
Other Letter 3234
 
14.8%
Uppercase Letter 2836
 
13.0%
Space Separator 2555
 
11.7%
Other Punctuation 550
 
2.5%
Decimal Number 328
 
1.5%
Dash Punctuation 155
 
0.7%
Open Punctuation 127
 
0.6%
Close Punctuation 127
 
0.6%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
159
 
4.9%
101
 
3.1%
98
 
3.0%
97
 
3.0%
97
 
3.0%
94
 
2.9%
74
 
2.3%
66
 
2.0%
62
 
1.9%
58
 
1.8%
Other values (383) 2328
72.0%
Lowercase Letter
ValueCountFrequency (%)
a 2020
17.0%
i 1117
 
9.4%
n 1077
 
9.0%
e 941
 
7.9%
o 822
 
6.9%
r 821
 
6.9%
t 625
 
5.2%
u 521
 
4.4%
s 508
 
4.3%
h 504
 
4.2%
Other values (18) 2951
24.8%
Uppercase Letter
ValueCountFrequency (%)
C 220
 
7.8%
B 214
 
7.5%
A 208
 
7.3%
S 199
 
7.0%
P 184
 
6.5%
N 171
 
6.0%
T 165
 
5.8%
M 163
 
5.7%
D 156
 
5.5%
R 138
 
4.9%
Other values (16) 1018
35.9%
Decimal Number
ValueCountFrequency (%)
1 82
25.0%
0 69
21.0%
2 44
13.4%
3 23
 
7.0%
4 23
 
7.0%
5 21
 
6.4%
6 20
 
6.1%
7 18
 
5.5%
9 15
 
4.6%
8 13
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 498
90.5%
. 38
 
6.9%
/ 11
 
2.0%
& 2
 
0.4%
· 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 125
98.4%
[ 1
 
0.8%
1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 124
97.6%
2
 
1.6%
] 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
+ 3
50.0%
~ 3
50.0%
Space Separator
ValueCountFrequency (%)
2555
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14743
67.5%
Common 3850
 
17.6%
Hangul 3110
 
14.2%
Han 124
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
159
 
5.1%
101
 
3.2%
98
 
3.2%
97
 
3.1%
97
 
3.1%
94
 
3.0%
74
 
2.4%
66
 
2.1%
62
 
2.0%
58
 
1.9%
Other values (340) 2204
70.9%
Latin
ValueCountFrequency (%)
a 2020
 
13.7%
i 1117
 
7.6%
n 1077
 
7.3%
e 941
 
6.4%
o 822
 
5.6%
r 821
 
5.6%
t 625
 
4.2%
u 521
 
3.5%
s 508
 
3.4%
h 504
 
3.4%
Other values (44) 5787
39.3%
Han
ValueCountFrequency (%)
36
29.0%
27
21.8%
5
 
4.0%
4
 
3.2%
3
 
2.4%
西 3
 
2.4%
3
 
2.4%
2
 
1.6%
2
 
1.6%
2
 
1.6%
Other values (33) 37
29.8%
Common
ValueCountFrequency (%)
2555
66.4%
, 498
 
12.9%
- 155
 
4.0%
( 125
 
3.2%
) 124
 
3.2%
1 82
 
2.1%
0 69
 
1.8%
2 44
 
1.1%
. 38
 
1.0%
3 23
 
0.6%
Other values (16) 137
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18587
85.2%
Hangul 3110
 
14.2%
CJK 122
 
0.6%
None 6
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2555
 
13.7%
a 2020
 
10.9%
i 1117
 
6.0%
n 1077
 
5.8%
e 941
 
5.1%
o 822
 
4.4%
r 821
 
4.4%
t 625
 
3.4%
u 521
 
2.8%
s 508
 
2.7%
Other values (65) 7580
40.8%
Hangul
ValueCountFrequency (%)
159
 
5.1%
101
 
3.2%
98
 
3.2%
97
 
3.1%
97
 
3.1%
94
 
3.0%
74
 
2.4%
66
 
2.1%
62
 
2.0%
58
 
1.9%
Other values (340) 2204
70.9%
CJK
ValueCountFrequency (%)
36
29.5%
27
22.1%
5
 
4.1%
4
 
3.3%
3
 
2.5%
西 3
 
2.5%
3
 
2.5%
2
 
1.6%
2
 
1.6%
2
 
1.6%
Other values (31) 35
28.7%
None
ValueCountFrequency (%)
2
33.3%
1
16.7%
· 1
16.7%
ł 1
16.7%
æ 1
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct808
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-04-18T04:10:19.252004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length59
Mean length29.246078
Min length2

Characters and Unicode

Total characters35417
Distinct characters62
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

Unique630 ?
Unique (%)52.0%

Sample

1st rowPMA TENDER S.R.O.
2nd rowPUERTOS ARGENTINO
3rd rowCOMMITTEE FOR ROADS OF MINISTRY OF INVESTMENTS AND DEVELOPMENT
4th rowGOVERNMENT OF BADUNG REGENCY
5th rowHAYA WATER
ValueCountFrequency (%)
of 235
 
4.8%
and 99
 
2.0%
de 83
 
1.7%
authority 83
 
1.7%
80
 
1.6%
ltd 76
 
1.6%
ministry 71
 
1.5%
department 64
 
1.3%
co 62
 
1.3%
company 57
 
1.2%
Other values (1417) 3943
81.2%
2024-04-18T04:10:19.617013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3665
 
10.3%
A 2816
 
8.0%
E 2744
 
7.7%
N 2683
 
7.6%
T 2530
 
7.1%
O 2460
 
6.9%
I 2417
 
6.8%
R 2153
 
6.1%
S 1472
 
4.2%
C 1388
 
3.9%
Other values (52) 11089
31.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 29927
84.5%
Space Separator 3665
 
10.3%
Lowercase Letter 907
 
2.6%
Other Punctuation 421
 
1.2%
Close Punctuation 170
 
0.5%
Open Punctuation 170
 
0.5%
Dash Punctuation 89
 
0.3%
Other Letter 64
 
0.2%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 2816
 
9.4%
E 2744
 
9.2%
N 2683
 
9.0%
T 2530
 
8.5%
O 2460
 
8.2%
I 2417
 
8.1%
R 2153
 
7.2%
S 1472
 
4.9%
C 1388
 
4.6%
L 1192
 
4.0%
Other values (16) 8072
27.0%
Lowercase Letter
ValueCountFrequency (%)
i 112
12.3%
n 97
10.7%
t 85
 
9.4%
o 81
 
8.9%
e 75
 
8.3%
a 74
 
8.2%
r 52
 
5.7%
s 43
 
4.7%
l 40
 
4.4%
c 31
 
3.4%
Other values (13) 217
23.9%
Other Punctuation
ValueCountFrequency (%)
. 266
63.2%
, 106
 
25.2%
& 43
 
10.2%
/ 6
 
1.4%
Decimal Number
ValueCountFrequency (%)
6 2
50.0%
2 1
25.0%
7 1
25.0%
Other Letter
ValueCountFrequency (%)
32
50.0%
32
50.0%
Space Separator
ValueCountFrequency (%)
3665
100.0%
Close Punctuation
ValueCountFrequency (%)
) 170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 170
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30834
87.1%
Common 4519
 
12.8%
Hangul 64
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 2816
 
9.1%
E 2744
 
8.9%
N 2683
 
8.7%
T 2530
 
8.2%
O 2460
 
8.0%
I 2417
 
7.8%
R 2153
 
7.0%
S 1472
 
4.8%
C 1388
 
4.5%
L 1192
 
3.9%
Other values (39) 8979
29.1%
Common
ValueCountFrequency (%)
3665
81.1%
. 266
 
5.9%
) 170
 
3.8%
( 170
 
3.8%
, 106
 
2.3%
- 89
 
2.0%
& 43
 
1.0%
/ 6
 
0.1%
6 2
 
< 0.1%
2 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
32
50.0%
32
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35353
99.8%
Hangul 64
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3665
 
10.4%
A 2816
 
8.0%
E 2744
 
7.8%
N 2683
 
7.6%
T 2530
 
7.2%
O 2460
 
7.0%
I 2417
 
6.8%
R 2153
 
6.1%
S 1472
 
4.2%
C 1388
 
3.9%
Other values (50) 11025
31.2%
Hangul
ValueCountFrequency (%)
32
50.0%
32
50.0%
Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
계획
485 
세부계획
295 
입찰
213 
F/S
159 
PQ
 
48

Length

Max length6
Median length2
Mean length2.6548307
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row세부계획
2nd row입찰
3rd rowF/S
4th row세부계획
5th row세부계획

Common Values

ValueCountFrequency (%)
계획 485
40.0%
세부계획 295
24.4%
입찰 213
17.6%
F/S 159
 
13.1%
PQ 48
 
4.0%
계약(착공) 11
 
0.9%

Length

2024-04-18T04:10:19.741588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:10:19.832914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계획 485
40.0%
세부계획 295
24.4%
입찰 213
17.6%
f/s 159
 
13.1%
pq 48
 
4.0%
계약(착공 11
 
0.9%
Distinct64
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-04-18T04:10:19.978354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length4
Mean length6.744839
Min length4

Characters and Unicode

Total characters8168
Distinct characters137
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)3.1%

Sample

1st row국제입찰
2nd row국제입찰
3rd row기타 (Contract)
4th row국제입찰
5th row국제입찰
ValueCountFrequency (%)
국제입찰 879
51.6%
기타 174
 
10.2%
수의계약 171
 
10.0%
tender 38
 
2.2%
open 28
 
1.6%
or 24
 
1.4%
direct 23
 
1.3%
with 23
 
1.3%
경쟁입찰 22
 
1.3%
negotiations 22
 
1.3%
Other values (100) 301
 
17.7%
2024-04-18T04:10:20.246216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
953
 
11.7%
953
 
11.7%
902
 
11.0%
895
 
11.0%
498
 
6.1%
t 281
 
3.4%
e 243
 
3.0%
n 225
 
2.8%
i 202
 
2.5%
o 189
 
2.3%
Other values (127) 2827
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5106
62.5%
Lowercase Letter 2030
 
24.9%
Space Separator 498
 
6.1%
Open Punctuation 179
 
2.2%
Close Punctuation 179
 
2.2%
Uppercase Letter 125
 
1.5%
Dash Punctuation 32
 
0.4%
Other Punctuation 12
 
0.1%
Decimal Number 6
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
953
18.7%
953
18.7%
902
17.7%
895
17.5%
174
 
3.4%
174
 
3.4%
174
 
3.4%
173
 
3.4%
173
 
3.4%
173
 
3.4%
Other values (72) 362
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
t 281
13.8%
e 243
12.0%
n 225
11.1%
i 202
10.0%
o 189
9.3%
r 189
9.3%
a 109
 
5.4%
s 106
 
5.2%
c 96
 
4.7%
d 81
 
4.0%
Other values (14) 309
15.2%
Uppercase Letter
ValueCountFrequency (%)
O 32
25.6%
P 23
18.4%
T 11
 
8.8%
I 11
 
8.8%
C 6
 
4.8%
B 6
 
4.8%
D 5
 
4.0%
E 5
 
4.0%
F 5
 
4.0%
N 4
 
3.2%
Other values (7) 17
13.6%
Other Punctuation
ValueCountFrequency (%)
/ 3
25.0%
% 3
25.0%
" 2
16.7%
; 2
16.7%
: 2
16.7%
Decimal Number
ValueCountFrequency (%)
0 3
50.0%
3 1
 
16.7%
6 1
 
16.7%
1 1
 
16.7%
Space Separator
ValueCountFrequency (%)
498
100.0%
Open Punctuation
ValueCountFrequency (%)
( 179
100.0%
Close Punctuation
ValueCountFrequency (%)
) 179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5106
62.5%
Latin 2155
26.4%
Common 907
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
953
18.7%
953
18.7%
902
17.7%
895
17.5%
174
 
3.4%
174
 
3.4%
174
 
3.4%
173
 
3.4%
173
 
3.4%
173
 
3.4%
Other values (72) 362
 
7.1%
Latin
ValueCountFrequency (%)
t 281
13.0%
e 243
11.3%
n 225
10.4%
i 202
9.4%
o 189
8.8%
r 189
8.8%
a 109
 
5.1%
s 106
 
4.9%
c 96
 
4.5%
d 81
 
3.8%
Other values (31) 434
20.1%
Common
ValueCountFrequency (%)
498
54.9%
( 179
 
19.7%
) 179
 
19.7%
- 32
 
3.5%
/ 3
 
0.3%
% 3
 
0.3%
0 3
 
0.3%
" 2
 
0.2%
; 2
 
0.2%
: 2
 
0.2%
Other values (4) 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5106
62.5%
ASCII 3062
37.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
953
18.7%
953
18.7%
902
17.7%
895
17.5%
174
 
3.4%
174
 
3.4%
174
 
3.4%
173
 
3.4%
173
 
3.4%
173
 
3.4%
Other values (72) 362
 
7.1%
ASCII
ValueCountFrequency (%)
498
16.3%
t 281
 
9.2%
e 243
 
7.9%
n 225
 
7.3%
i 202
 
6.6%
o 189
 
6.2%
r 189
 
6.2%
( 179
 
5.8%
) 179
 
5.8%
a 109
 
3.6%
Other values (45) 768
25.1%
Distinct238
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-04-18T04:10:20.449523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length110
Mean length13.733278
Min length4

Characters and Unicode

Total characters16631
Distinct characters230
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)13.7%

Sample

1st row기타 (가격+전문성(기술))
2nd row기술심사
3rd row기술심사
4th row최저가격
5th row기타 (기술 및 가격 심사)
ValueCountFrequency (%)
기타 623
19.1%
최저가격 371
 
11.4%
기술심사 362
 
11.1%
123
 
3.8%
104
 
3.2%
qcbs 78
 
2.4%
technical 72
 
2.2%
가격 72
 
2.2%
and 62
 
1.9%
기술 55
 
1.7%
Other values (374) 1340
41.1%
2024-04-18T04:10:20.795835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2065
 
12.4%
1149
 
6.9%
e 673
 
4.0%
) 657
 
4.0%
( 657
 
4.0%
624
 
3.8%
570
 
3.4%
551
 
3.3%
i 549
 
3.3%
n 547
 
3.3%
Other values (220) 8589
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6137
36.9%
Lowercase Letter 5575
33.5%
Space Separator 2065
 
12.4%
Uppercase Letter 1003
 
6.0%
Close Punctuation 657
 
4.0%
Open Punctuation 657
 
4.0%
Other Punctuation 240
 
1.4%
Decimal Number 177
 
1.1%
Math Symbol 101
 
0.6%
Dash Punctuation 18
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1149
18.7%
624
10.2%
570
9.3%
551
9.0%
501
8.2%
448
 
7.3%
444
 
7.2%
387
 
6.3%
387
 
6.3%
125
 
2.0%
Other values (149) 951
15.5%
Lowercase Letter
ValueCountFrequency (%)
e 673
12.1%
i 549
9.8%
n 547
9.8%
a 501
9.0%
c 435
 
7.8%
t 407
 
7.3%
o 405
 
7.3%
r 336
 
6.0%
l 253
 
4.5%
d 221
 
4.0%
Other values (16) 1248
22.4%
Uppercase Letter
ValueCountFrequency (%)
B 158
15.8%
C 151
15.1%
S 124
12.4%
T 93
9.3%
Q 91
9.1%
P 74
7.4%
I 66
6.6%
E 51
 
5.1%
L 39
 
3.9%
U 28
 
2.8%
Other values (11) 128
12.8%
Decimal Number
ValueCountFrequency (%)
0 74
41.8%
6 28
 
15.8%
4 16
 
9.0%
1 14
 
7.9%
2 14
 
7.9%
3 12
 
6.8%
5 8
 
4.5%
7 7
 
4.0%
8 3
 
1.7%
9 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 91
37.9%
% 83
34.6%
" 42
17.5%
& 9
 
3.8%
/ 7
 
2.9%
. 4
 
1.7%
; 3
 
1.2%
: 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2065
100.0%
Close Punctuation
ValueCountFrequency (%)
) 657
100.0%
Open Punctuation
ValueCountFrequency (%)
( 657
100.0%
Math Symbol
ValueCountFrequency (%)
+ 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6578
39.6%
Hangul 6137
36.9%
Common 3916
23.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1149
18.7%
624
10.2%
570
9.3%
551
9.0%
501
8.2%
448
 
7.3%
444
 
7.2%
387
 
6.3%
387
 
6.3%
125
 
2.0%
Other values (149) 951
15.5%
Latin
ValueCountFrequency (%)
e 673
 
10.2%
i 549
 
8.3%
n 547
 
8.3%
a 501
 
7.6%
c 435
 
6.6%
t 407
 
6.2%
o 405
 
6.2%
r 336
 
5.1%
l 253
 
3.8%
d 221
 
3.4%
Other values (37) 2251
34.2%
Common
ValueCountFrequency (%)
2065
52.7%
) 657
 
16.8%
( 657
 
16.8%
+ 101
 
2.6%
, 91
 
2.3%
% 83
 
2.1%
0 74
 
1.9%
" 42
 
1.1%
6 28
 
0.7%
- 18
 
0.5%
Other values (14) 100
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10494
63.1%
Hangul 6135
36.9%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2065
19.7%
e 673
 
6.4%
) 657
 
6.3%
( 657
 
6.3%
i 549
 
5.2%
n 547
 
5.2%
a 501
 
4.8%
c 435
 
4.1%
t 407
 
3.9%
o 405
 
3.9%
Other values (61) 3598
34.3%
Hangul
ValueCountFrequency (%)
1149
18.7%
624
10.2%
570
9.3%
551
9.0%
501
8.2%
448
 
7.3%
444
 
7.2%
387
 
6.3%
387
 
6.3%
125
 
2.0%
Other values (148) 949
15.5%
Compat Jamo
ValueCountFrequency (%)
2
100.0%
Distinct454
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Minimum2020-01-20 00:00:00
Maximum2027-01-01 00:00:00
2024-04-18T04:10:20.904550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:10:21.002886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1130
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-04-18T04:10:21.251042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length282
Mean length124.10735
Min length1

Characters and Unicode

Total characters150294
Distinct characters592
Distinct categories18 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1094 ?
Unique (%)90.3%

Sample

1st rowㅇ사전공지: 2019년 12월ㅇ입찰예정: 2020년 4월 중순ㅇ입찰종료: 2020년 5월ㅇ공사기간: 18개월
2nd row입찰 공고일: 2020년 6월제안서 제출일: 2020년 8월제안서 개봉일: 2020년 11월낙찰일: 2020년 12월계약일: 2021년 1월
3rd row2020.07 - 입찰기간2020-2024 - 건설작업
4th row2019: OBC2020 Q1: FBC2020 Q2: PQ2020 Q3: RFP2021: Bid submission2021: Bid award2021: Contract signing2021: Financial close2022: Construction
5th row- RfQ는 2020년 2분기 이전, RfP는 2020년 4분기 이전에 발행될 예정- 프로젝트 완공 예상 시기 : 2023년 4분기
ValueCountFrequency (%)
2063
 
7.8%
of 586
 
2.2%
the 405
 
1.5%
contract 377
 
1.4%
프로젝트 302
 
1.1%
입찰 292
 
1.1%
and 272
 
1.0%
272
 
1.0%
2022년 242
 
0.9%
2021년 236
 
0.9%
Other values (5595) 21529
81.0%
2024-04-18T04:10:21.636774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25794
 
17.2%
2 8956
 
6.0%
e 7175
 
4.8%
t 5851
 
3.9%
n 5739
 
3.8%
i 5317
 
3.5%
o 5176
 
3.4%
0 4561
 
3.0%
a 4510
 
3.0%
r 4257
 
2.8%
Other values (582) 72958
48.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 60985
40.6%
Space Separator 25794
17.2%
Other Letter 25560
17.0%
Decimal Number 20262
 
13.5%
Uppercase Letter 8057
 
5.4%
Other Punctuation 5620
 
3.7%
Dash Punctuation 2093
 
1.4%
Close Punctuation 758
 
0.5%
Open Punctuation 719
 
0.5%
Math Symbol 305
 
0.2%
Other values (8) 141
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1263
 
4.9%
995
 
3.9%
904
 
3.5%
885
 
3.5%
833
 
3.3%
824
 
3.2%
769
 
3.0%
708
 
2.8%
574
 
2.2%
487
 
1.9%
Other values (477) 17318
67.8%
Lowercase Letter
ValueCountFrequency (%)
e 7175
11.8%
t 5851
9.6%
n 5739
9.4%
i 5317
 
8.7%
o 5176
 
8.5%
a 4510
 
7.4%
r 4257
 
7.0%
s 3385
 
5.6%
c 2715
 
4.5%
d 2625
 
4.3%
Other values (18) 14235
23.3%
Uppercase Letter
ValueCountFrequency (%)
C 972
12.1%
P 826
 
10.3%
S 653
 
8.1%
T 627
 
7.8%
M 611
 
7.6%
D 493
 
6.1%
A 471
 
5.8%
Q 422
 
5.2%
B 418
 
5.2%
I 404
 
5.0%
Other values (16) 2160
26.8%
Other Punctuation
ValueCountFrequency (%)
: 2390
42.5%
. 1532
27.3%
, 739
 
13.1%
/ 482
 
8.6%
* 195
 
3.5%
' 167
 
3.0%
; 62
 
1.1%
& 28
 
0.5%
· 11
 
0.2%
% 9
 
0.2%
Other values (2) 5
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 8956
44.2%
0 4561
22.5%
1 2954
 
14.6%
3 1397
 
6.9%
4 681
 
3.4%
5 480
 
2.4%
6 373
 
1.8%
9 314
 
1.5%
7 277
 
1.4%
8 269
 
1.3%
Math Symbol
ValueCountFrequency (%)
~ 254
83.3%
+ 14
 
4.6%
14
 
4.6%
> 9
 
3.0%
8
 
2.6%
| 4
 
1.3%
< 2
 
0.7%
Other Number
ValueCountFrequency (%)
² 1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 747
98.5%
] 11
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 708
98.5%
[ 11
 
1.5%
Final Punctuation
ValueCountFrequency (%)
38
95.0%
2
 
5.0%
Currency Symbol
ValueCountFrequency (%)
$ 7
87.5%
1
 
12.5%
Initial Punctuation
ValueCountFrequency (%)
7
77.8%
2
 
22.2%
Other Symbol
ValueCountFrequency (%)
6
54.5%
5
45.5%
Space Separator
ValueCountFrequency (%)
25794
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2093
100.0%
Control
ValueCountFrequency (%)
51
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 69042
45.9%
Common 55692
37.1%
Hangul 25552
 
17.0%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1263
 
4.9%
995
 
3.9%
904
 
3.5%
885
 
3.5%
833
 
3.3%
824
 
3.2%
769
 
3.0%
708
 
2.8%
574
 
2.2%
487
 
1.9%
Other values (473) 17310
67.7%
Latin
ValueCountFrequency (%)
e 7175
 
10.4%
t 5851
 
8.5%
n 5739
 
8.3%
i 5317
 
7.7%
o 5176
 
7.5%
a 4510
 
6.5%
r 4257
 
6.2%
s 3385
 
4.9%
c 2715
 
3.9%
d 2625
 
3.8%
Other values (44) 22292
32.3%
Common
ValueCountFrequency (%)
25794
46.3%
2 8956
 
16.1%
0 4561
 
8.2%
1 2954
 
5.3%
: 2390
 
4.3%
- 2093
 
3.8%
. 1532
 
2.8%
3 1397
 
2.5%
) 747
 
1.3%
, 739
 
1.3%
Other values (41) 4529
 
8.1%
Han
ValueCountFrequency (%)
5
62.5%
1
 
12.5%
1
 
12.5%
1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124633
82.9%
Hangul 24783
 
16.5%
Compat Jamo 769
 
0.5%
Punctuation 49
 
< 0.1%
Arrows 14
 
< 0.1%
None 14
 
< 0.1%
Geometric Shapes 11
 
< 0.1%
Math Operators 8
 
< 0.1%
CJK 8
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25794
20.7%
2 8956
 
7.2%
e 7175
 
5.8%
t 5851
 
4.7%
n 5739
 
4.6%
i 5317
 
4.3%
o 5176
 
4.2%
0 4561
 
3.7%
a 4510
 
3.6%
r 4257
 
3.4%
Other values (78) 47297
37.9%
Hangul
ValueCountFrequency (%)
1263
 
5.1%
995
 
4.0%
904
 
3.6%
885
 
3.6%
833
 
3.4%
824
 
3.3%
708
 
2.9%
574
 
2.3%
487
 
2.0%
450
 
1.8%
Other values (472) 16860
68.0%
Compat Jamo
ValueCountFrequency (%)
769
100.0%
Punctuation
ValueCountFrequency (%)
38
77.6%
7
 
14.3%
2
 
4.1%
2
 
4.1%
Arrows
ValueCountFrequency (%)
14
100.0%
None
ValueCountFrequency (%)
· 11
78.6%
² 1
 
7.1%
ø 1
 
7.1%
đ 1
 
7.1%
Math Operators
ValueCountFrequency (%)
8
100.0%
Geometric Shapes
ValueCountFrequency (%)
6
54.5%
5
45.5%
CJK
ValueCountFrequency (%)
5
62.5%
1
 
12.5%
1
 
12.5%
1
 
12.5%
Currency Symbols
ValueCountFrequency (%)
1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
미상
662 
발주처 재원
221 
PPP
135 
기타
130 
MDB
 
53

Length

Max length6
Median length2
Mean length2.9017341
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미상 662
54.7%
발주처 재원 221
 
18.2%
PPP 135
 
11.1%
기타 130
 
10.7%
MDB 53
 
4.4%
EPCF 10
 
0.8%

Length

2024-04-18T04:10:21.747839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:10:21.832883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미상 662
46.2%
발주처 221
 
15.4%
재원 221
 
15.4%
ppp 135
 
9.4%
기타 130
 
9.1%
mdb 53
 
3.7%
epcf 10
 
0.7%
Distinct552
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-04-18T04:10:22.044286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length165
Median length107
Mean length16.042114
Min length2

Characters and Unicode

Total characters19427
Distinct characters311
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique421 ?
Unique (%)34.8%

Sample

1st row시예산
2nd row투자유지
3rd row국제기금(World Bank)
4th rowpublic private partnership, jointventures
5th row발주자펀딩 & PPP
ValueCountFrequency (%)
발주자펀딩 213
 
6.4%
funding 123
 
3.7%
owner 93
 
2.8%
80
 
2.4%
68
 
2.1%
펀딩 65
 
2.0%
발주처 64
 
1.9%
and 61
 
1.8%
investment 52
 
1.6%
government 51
 
1.5%
Other values (803) 2446
73.8%
2024-04-18T04:10:22.395811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2247
 
11.6%
n 1433
 
7.4%
e 1112
 
5.7%
i 795
 
4.1%
t 773
 
4.0%
a 666
 
3.4%
r 643
 
3.3%
o 581
 
3.0%
514
 
2.6%
432
 
2.2%
Other values (301) 10231
52.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9430
48.5%
Other Letter 4585
23.6%
Space Separator 2247
 
11.6%
Uppercase Letter 2025
 
10.4%
Decimal Number 348
 
1.8%
Other Punctuation 345
 
1.8%
Open Punctuation 164
 
0.8%
Close Punctuation 162
 
0.8%
Dash Punctuation 64
 
0.3%
Math Symbol 35
 
0.2%
Other values (2) 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
514
 
11.2%
432
 
9.4%
428
 
9.3%
375
 
8.2%
371
 
8.1%
139
 
3.0%
129
 
2.8%
123
 
2.7%
108
 
2.4%
96
 
2.1%
Other values (221) 1870
40.8%
Lowercase Letter
ValueCountFrequency (%)
n 1433
15.2%
e 1112
11.8%
i 795
 
8.4%
t 773
 
8.2%
a 666
 
7.1%
r 643
 
6.8%
o 581
 
6.2%
s 389
 
4.1%
d 385
 
4.1%
u 358
 
3.8%
Other values (16) 2295
24.3%
Uppercase Letter
ValueCountFrequency (%)
P 299
14.8%
O 171
 
8.4%
D 167
 
8.2%
B 157
 
7.8%
A 148
 
7.3%
F 138
 
6.8%
I 128
 
6.3%
E 114
 
5.6%
G 80
 
4.0%
U 68
 
3.4%
Other values (16) 555
27.4%
Decimal Number
ValueCountFrequency (%)
0 112
32.2%
1 59
17.0%
2 41
 
11.8%
5 24
 
6.9%
4 22
 
6.3%
9 22
 
6.3%
6 20
 
5.7%
7 18
 
5.2%
8 17
 
4.9%
3 13
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 137
39.7%
% 68
19.7%
. 65
18.8%
/ 54
 
15.7%
: 9
 
2.6%
& 8
 
2.3%
" 2
 
0.6%
; 1
 
0.3%
1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 160
98.8%
2
 
1.2%
Math Symbol
ValueCountFrequency (%)
+ 34
97.1%
| 1
 
2.9%
Space Separator
ValueCountFrequency (%)
2247
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 14
100.0%
Final Punctuation
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11455
59.0%
Hangul 4581
 
23.6%
Common 3387
 
17.4%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
514
 
11.2%
432
 
9.4%
428
 
9.3%
375
 
8.2%
371
 
8.1%
139
 
3.0%
129
 
2.8%
123
 
2.7%
108
 
2.4%
96
 
2.1%
Other values (219) 1866
40.7%
Latin
ValueCountFrequency (%)
n 1433
 
12.5%
e 1112
 
9.7%
i 795
 
6.9%
t 773
 
6.7%
a 666
 
5.8%
r 643
 
5.6%
o 581
 
5.1%
s 389
 
3.4%
d 385
 
3.4%
u 358
 
3.1%
Other values (42) 4320
37.7%
Common
ValueCountFrequency (%)
2247
66.3%
( 164
 
4.8%
) 160
 
4.7%
, 137
 
4.0%
0 112
 
3.3%
% 68
 
2.0%
. 65
 
1.9%
- 64
 
1.9%
1 59
 
1.7%
/ 54
 
1.6%
Other values (18) 257
 
7.6%
Han
ValueCountFrequency (%)
3
75.0%
1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14831
76.3%
Hangul 4581
 
23.6%
Punctuation 8
 
< 0.1%
CJK 4
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2247
 
15.2%
n 1433
 
9.7%
e 1112
 
7.5%
i 795
 
5.4%
t 773
 
5.2%
a 666
 
4.5%
r 643
 
4.3%
o 581
 
3.9%
s 389
 
2.6%
d 385
 
2.6%
Other values (67) 5807
39.2%
Hangul
ValueCountFrequency (%)
514
 
11.2%
432
 
9.4%
428
 
9.3%
375
 
8.2%
371
 
8.1%
139
 
3.0%
129
 
2.8%
123
 
2.7%
108
 
2.4%
96
 
2.1%
Other values (219) 1866
40.7%
Punctuation
ValueCountFrequency (%)
8
100.0%
CJK
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
None
ValueCountFrequency (%)
2
66.7%
1
33.3%
Distinct506
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-04-18T04:10:22.684544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length33
Mean length3.017341
Min length1

Characters and Unicode

Total characters3654
Distinct characters27
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique350 ?
Unique (%)28.9%

Sample

1st row26.6
2nd row190
3rd row78
4th row77.6
5th row300
ValueCountFrequency (%)
1 65
 
5.3%
0.1 27
 
2.2%
100 27
 
2.2%
3 26
 
2.1%
10 26
 
2.1%
0.5 25
 
2.1%
2 24
 
2.0%
5 23
 
1.9%
50 22
 
1.8%
1.5 22
 
1.8%
Other values (499) 930
76.4%
2024-04-18T04:10:23.074582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 841
23.0%
1 559
15.3%
. 470
12.9%
5 411
11.2%
2 353
9.7%
3 234
 
6.4%
8 162
 
4.4%
4 159
 
4.4%
7 158
 
4.3%
6 157
 
4.3%
Other values (17) 150
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3142
86.0%
Other Punctuation 476
 
13.0%
Lowercase Letter 18
 
0.5%
Space Separator 6
 
0.2%
Uppercase Letter 6
 
0.2%
Currency Symbol 2
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 841
26.8%
1 559
17.8%
5 411
13.1%
2 353
11.2%
3 234
 
7.4%
8 162
 
5.2%
4 159
 
5.1%
7 158
 
5.0%
6 157
 
5.0%
9 108
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
i 4
22.2%
n 4
22.2%
c 2
11.1%
l 2
11.1%
u 2
11.1%
d 2
11.1%
g 2
11.1%
Other Punctuation
ValueCountFrequency (%)
. 470
98.7%
, 4
 
0.8%
% 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
V 2
33.3%
A 2
33.3%
T 2
33.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Currency Symbol
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3630
99.3%
Latin 24
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 841
23.2%
1 559
15.4%
. 470
12.9%
5 411
11.3%
2 353
9.7%
3 234
 
6.4%
8 162
 
4.5%
4 159
 
4.4%
7 158
 
4.4%
6 157
 
4.3%
Other values (7) 126
 
3.5%
Latin
ValueCountFrequency (%)
i 4
16.7%
n 4
16.7%
c 2
8.3%
l 2
8.3%
u 2
8.3%
d 2
8.3%
g 2
8.3%
V 2
8.3%
A 2
8.3%
T 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3652
99.9%
Currency Symbols 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 841
23.0%
1 559
15.3%
. 470
12.9%
5 411
11.3%
2 353
9.7%
3 234
 
6.4%
8 162
 
4.4%
4 159
 
4.4%
7 158
 
4.3%
6 157
 
4.3%
Other values (16) 148
 
4.1%
Currency Symbols
ValueCountFrequency (%)
2
100.0%

기간
Text

Distinct967
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-04-18T04:10:23.253494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters25431
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique842 ?
Unique (%)69.5%

Sample

1st row2020-04-13~2021-11-30
2nd row2020-06-01~2030-06-01
3rd row2020-01-01~2024-12-31
4th row2020-06-01~2022-12-30
5th row2020-06-01~2023-09-30
ValueCountFrequency (%)
2021-06-01~2023-12-31 11
 
0.9%
2023-01-01~2023-12-31 9
 
0.7%
2023-01-01~2025-12-31 9
 
0.7%
2022-07-01~2022-12-31 9
 
0.7%
2021-01-01~2025-12-31 7
 
0.6%
2022-01-01~2025-12-31 6
 
0.5%
2021-04-01~2023-12-31 6
 
0.5%
2023-02-01~2024-12-31 6
 
0.5%
2022-06-01~2023-12-31 5
 
0.4%
2022-12-01~2024-12-31 5
 
0.4%
Other values (957) 1138
94.0%
2024-04-18T04:10:23.529185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6684
26.3%
0 5361
21.1%
- 4844
19.0%
1 3609
14.2%
3 1705
 
6.7%
~ 1211
 
4.8%
5 454
 
1.8%
4 411
 
1.6%
6 380
 
1.5%
7 274
 
1.1%
Other values (2) 498
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19376
76.2%
Dash Punctuation 4844
 
19.0%
Math Symbol 1211
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6684
34.5%
0 5361
27.7%
1 3609
18.6%
3 1705
 
8.8%
5 454
 
2.3%
4 411
 
2.1%
6 380
 
2.0%
7 274
 
1.4%
9 273
 
1.4%
8 225
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 4844
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1211
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25431
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6684
26.3%
0 5361
21.1%
- 4844
19.0%
1 3609
14.2%
3 1705
 
6.7%
~ 1211
 
4.8%
5 454
 
1.8%
4 411
 
1.6%
6 380
 
1.5%
7 274
 
1.1%
Other values (2) 498
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25431
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6684
26.3%
0 5361
21.1%
- 4844
19.0%
1 3609
14.2%
3 1705
 
6.7%
~ 1211
 
4.8%
5 454
 
1.8%
4 411
 
1.6%
6 380
 
1.5%
7 274
 
1.1%
Other values (2) 498
 
2.0%
Distinct526
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Minimum2019-02-20 00:00:00
Maximum2023-09-01 00:00:00
2024-04-18T04:10:23.635497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:10:23.740782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발굴실적 인정여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
인정
1211 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인정 1211
100.0%

Length

2024-04-18T04:10:23.840057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:10:23.907279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인정 1211
100.0%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
미조사
718 
NO
470 
YES
 
23

Length

Max length3
Median length3
Mean length2.611891
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미조사 718
59.3%
NO 470
38.8%
YES 23
 
1.9%

Length

2024-04-18T04:10:23.983230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:10:24.070658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미조사 718
59.3%
no 470
38.8%
yes 23
 
1.9%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
미조사
705 
NO
295 
YES
211 

Length

Max length3
Median length3
Mean length2.7563997
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미조사 705
58.2%
NO 295
24.4%
YES 211
 
17.4%

Length

2024-04-18T04:10:24.148622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:10:24.223171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미조사 705
58.2%
no 295
24.4%
yes 211
 
17.4%
Distinct498
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Minimum2020-01-14 00:00:00
Maximum2022-12-31 00:00:00
2024-04-18T04:10:24.534896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:10:24.640237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

프로젝트 소스
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
발주처 면담
954 
기타
202 
일간지 및 기타 매체정보
 
53
국내업체 발굴
 
2

Length

Max length13
Median length6
Mean length5.6407927
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row발주처 면담
2nd row발주처 면담
3rd row발주처 면담
4th row발주처 면담
5th row발주처 면담

Common Values

ValueCountFrequency (%)
발주처 면담 954
78.8%
기타 202
 
16.7%
일간지 및 기타 매체정보 53
 
4.4%
국내업체 발굴 2
 
0.2%

Length

2024-04-18T04:10:24.733391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:10:24.810664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발주처 954
41.0%
면담 954
41.0%
기타 255
 
11.0%
일간지 53
 
2.3%
53
 
2.3%
매체정보 53
 
2.3%
국내업체 2
 
0.1%
발굴 2
 
0.1%
Distinct1202
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-04-18T04:10:25.104696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length823
Mean length632.27911
Min length2

Characters and Unicode

Total characters765690
Distinct characters1126
Distinct categories20 ?
Distinct scripts5 ?
Distinct blocks14 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1198 ?
Unique (%)98.9%

Sample

1st rowㅇHardec Kralove시는 현재의 축구 경기장이 노후함에 따라, 현재 축구장 자리에 신규 축구경기장을 건설하고자 함. - 프로젝트는 Hradec Kralove 시예산으로 진행될 예정이며, PMA TENDER가 현지 에이전트로 진행할 예정임 - 이미 기존에 3번의 신규 축구장 건설을 위한 공개입찰 진행했으나, 예산내에 조건을 만족하는 적절한 공급자를 찾지 못해 취소된 바 있음 - 이번이 4번째 진행하는 입찰로 이번에도 적절한 건설회사를 찾지 못할 경우 자금확보와 서류준비 등 프로젝트를 다시 처음부터 시작해야하기 때문에 입찰성공을 바라고 있는 상황임.ㅇ축구 경기장 개요- 1만여명을 수용할 수 있는 4개의 관중석(스탠드)와 잔디구장(UEFA 기준만족) 포함- 기존의 막대사탕 모양의 조명시스템 구조를 유지해 현대식으로 재현 (첨부의 면담일지 사진 참고)- Hradec Kralove시는 2017년 가을 서쪽 관중석을 철거했으며, 동쪽 연단만 남기고 나머지는 다시 건설할 계획임. * 첨부 문서 참조
2nd row연간 약 4400대의 선박이 출입하는 아르헨티나 주요 항로(RECALADA-SANTA FE:약 820KM)를 확장하고 새로운 기술력의 인프라로 구축하기 위한 프로젝트임.현재 확장을 하려는 항로는 아르헨티나의 주요 항로이나 개발 및 인프라 부족으로 인하여 선박들의 출입하는 시간이 지속적으로 지연되고 있는 현상이 나타나고 있음. 이에 아르헨티나 연방정부 항만교통부에서는 프로젝트를 총 3단계로 나눠서 진행할 예정임.1 단계: 항로 확장, 출입로 재설계 및 항로 교통 표지판 추가 설치2 단계: RECALADA-TIMBUES 항로 깊이 36인치까지 확장3 단계: RECALADA-TIMBUES 항로 깊이 38인치까지 확장** 첨부 문서 참조
3rd rowㅇ 프로젝트 소개 - 프로젝트명 : 투르키스탄시 우회도로 건설공사 - 총 연장 : 48km - 사업비 : 약 7,800만 달러 * 참고 : 남카자흐스탄주는 쉼켄트(100만 명)시 등이 위치한 인구밀집 지역으로 도로건설, 인프라 확충, 주택건설 등 다양한 프로젝트들이 정부/민간 차원에서 실행되고 있음 ㅇ 재원조달방안 : 카자흐스탄 재무부와 세계은행(World Bank)이 공동 출자ㅇ 해당 프로젝트가 한국기업에 가져다 줄 이점 및 예상 수익 - 신북방정책 중심지역인 카자흐스탄으로의 진출 - 중앙아시아 인프라건설 경험을 확보하여 추후 입찰 진행 시 유리한 진출기반 마련 ㅇ 프로젝트 일정 - 2020.07 - 입찰기간 - 2020-2024 - 시공ㅇ 한국 투자자가 겪을 수 있는 위험요소 - 정치적 리스크;- 중국, 터키 등 기업들로부터의 높은 경쟁률
4th rowAs one of the tourism main destination in Bali, Badung Regency has always been packed with tourists. Authentic town scenery is one of its attractive point thus the government try as much as possible to make the area looks clean and neat. Development of Integrated Utility Network (IUN) of Badung Regency is an initiative from Badung Regent to relocate cablings above the ground to underground by making the utility network that consists of box culvert, conduit pipes, and poles. The objective of this project encompasses:- Reduce traffic disruptions- Support aesthetics and amenities- Simplify the maintenance of utility networks- Support tourism facilities* 첨부 문서 참조
5th rowㅇ (개요) 민관합작투자사업(PPP)형태의 하수처리장(Sewage Treatment Plant, STP)ㅇ (프로젝트 상세사항) - 내용 : 일평균 40.000m3 하수처리가 가능한 하수처리장의 설계, 자금조달, 건설 및 운영과 현재 운영 중에 있는 Al Ansab 하수처리장을 잇는 18km 하수관의 설계, 자금조달, 건설 패키지- 규모 : 3억~5억 USD - 지역 : 수도 무스카트 인근 바우셔(Bausher)주 내 Misfah - EPC 발주 예상 시기 : 2020년 2분기 - 발주처 : Haya Water - 입찰 방식 : 국내-국제 입찰* 기술 및 가격 평가 진행 예정 - 펀딩 : Haya Water(발주자)및 PPP형태 (발주자 펀딩을 포함한 PPP형태로 이루어질 예정이며 세부 내용 추후 발표)*(참고)오만 내 PPP법 2020년 중반 발효 예정으로 세부 법안 미공개 - 프로젝트 완공 예상 시기 : 2023년 4분기
ValueCountFrequency (%)
5129
 
3.9%
the 4354
 
3.3%
of 3922
 
3.0%
and 2324
 
1.8%
to 1793
 
1.4%
in 1345
 
1.0%
project 1300
 
1.0%
is 1014
 
0.8%
a 978
 
0.7%
971
 
0.7%
Other values (27564) 108689
82.5%
2024-04-18T04:10:25.548771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131493
 
17.2%
e 45054
 
5.9%
t 37695
 
4.9%
o 34926
 
4.6%
a 34164
 
4.5%
i 33724
 
4.4%
n 33184
 
4.3%
r 28220
 
3.7%
s 23118
 
3.0%
l 17743
 
2.3%
Other values (1116) 346369
45.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 406031
53.0%
Space Separator 131502
 
17.2%
Other Letter 124867
 
16.3%
Uppercase Letter 40496
 
5.3%
Decimal Number 27153
 
3.5%
Other Punctuation 19946
 
2.6%
Dash Punctuation 7988
 
1.0%
Close Punctuation 3124
 
0.4%
Open Punctuation 2966
 
0.4%
Math Symbol 591
 
0.1%
Other values (10) 1026
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3486
 
2.8%
2156
 
1.7%
1935
 
1.5%
1902
 
1.5%
1894
 
1.5%
1819
 
1.5%
1770
 
1.4%
1723
 
1.4%
1635
 
1.3%
1614
 
1.3%
Other values (971) 104933
84.0%
Lowercase Letter
ValueCountFrequency (%)
e 45054
11.1%
t 37695
 
9.3%
o 34926
 
8.6%
a 34164
 
8.4%
i 33724
 
8.3%
n 33184
 
8.2%
r 28220
 
7.0%
s 23118
 
5.7%
l 17743
 
4.4%
c 16785
 
4.1%
Other values (18) 101418
25.0%
Uppercase Letter
ValueCountFrequency (%)
P 3951
 
9.8%
T 3792
 
9.4%
C 3431
 
8.5%
S 3389
 
8.4%
A 2582
 
6.4%
M 2293
 
5.7%
E 2149
 
5.3%
D 2141
 
5.3%
I 2037
 
5.0%
R 1728
 
4.3%
Other values (18) 13003
32.1%
Other Punctuation
ValueCountFrequency (%)
, 6406
32.1%
. 5644
28.3%
: 5046
25.3%
/ 1206
 
6.0%
* 371
 
1.9%
% 270
 
1.4%
& 261
 
1.3%
; 239
 
1.2%
' 195
 
1.0%
" 144
 
0.7%
Other values (9) 164
 
0.8%
Math Symbol
ValueCountFrequency (%)
~ 185
31.3%
= 116
19.6%
+ 106
17.9%
| 75
12.7%
< 24
 
4.1%
23
 
3.9%
> 21
 
3.6%
12
 
2.0%
÷ 8
 
1.4%
± 6
 
1.0%
Other values (6) 15
 
2.5%
Decimal Number
ValueCountFrequency (%)
0 6956
25.6%
2 6434
23.7%
1 4014
14.8%
3 2365
 
8.7%
5 1981
 
7.3%
4 1561
 
5.7%
6 1177
 
4.3%
8 931
 
3.4%
7 910
 
3.4%
9 822
 
3.0%
Other values (2) 2
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
27
34.2%
18
22.8%
8
 
10.1%
7
 
8.9%
4
 
5.1%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
2
 
2.5%
Other Number
ValueCountFrequency (%)
10
18.5%
10
18.5%
9
16.7%
² 7
13.0%
7
13.0%
5
9.3%
3
 
5.6%
³ 3
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 3100
99.2%
] 22
 
0.7%
2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2938
99.1%
[ 26
 
0.9%
2
 
0.1%
Modifier Symbol
ValueCountFrequency (%)
` 3
60.0%
^ 1
 
20.0%
¸ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
131493
> 99.9%
  9
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 7986
> 99.9%
2
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
186
81.6%
42
 
18.4%
Initial Punctuation
ValueCountFrequency (%)
50
54.9%
41
45.1%
Letter Number
ValueCountFrequency (%)
2
66.7%
1
33.3%
Control
ValueCountFrequency (%)
254
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 250
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 40
100.0%
Format
ValueCountFrequency (%)
­ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 446527
58.3%
Common 194293
25.4%
Hangul 124468
 
16.3%
Han 397
 
0.1%
Cyrillic 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3486
 
2.8%
2156
 
1.7%
1935
 
1.6%
1902
 
1.5%
1894
 
1.5%
1819
 
1.5%
1770
 
1.4%
1723
 
1.4%
1635
 
1.3%
1614
 
1.3%
Other values (825) 104534
84.0%
Han
ValueCountFrequency (%)
88
22.2%
40
 
10.1%
9
 
2.3%
8
 
2.0%
西 7
 
1.8%
6
 
1.5%
6
 
1.5%
6
 
1.5%
5
 
1.3%
5
 
1.3%
Other values (135) 217
54.7%
Common
ValueCountFrequency (%)
131493
67.7%
- 7986
 
4.1%
0 6956
 
3.6%
2 6434
 
3.3%
, 6406
 
3.3%
. 5644
 
2.9%
: 5046
 
2.6%
1 4014
 
2.1%
) 3100
 
1.6%
( 2938
 
1.5%
Other values (77) 14276
 
7.3%
Latin
ValueCountFrequency (%)
e 45054
 
10.1%
t 37695
 
8.4%
o 34926
 
7.8%
a 34164
 
7.7%
i 33724
 
7.6%
n 33184
 
7.4%
r 28220
 
6.3%
s 23118
 
5.2%
l 17743
 
4.0%
c 16785
 
3.8%
Other values (47) 141914
31.8%
Cyrillic
ValueCountFrequency (%)
А 4
80.0%
М 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 640155
83.6%
Hangul 122532
 
16.0%
Compat Jamo 1936
 
0.3%
CJK 397
 
0.1%
Punctuation 327
 
< 0.1%
None 166
 
< 0.1%
Geometric Shapes 45
 
< 0.1%
Enclosed Alphanum 44
 
< 0.1%
CJK Compat 29
 
< 0.1%
Arrows 27
 
< 0.1%
Other values (4) 32
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131493
20.5%
e 45054
 
7.0%
t 37695
 
5.9%
o 34926
 
5.5%
a 34164
 
5.3%
i 33724
 
5.3%
n 33184
 
5.2%
r 28220
 
4.4%
s 23118
 
3.6%
l 17743
 
2.8%
Other values (82) 220834
34.5%
Hangul
ValueCountFrequency (%)
3486
 
2.8%
2156
 
1.8%
1902
 
1.6%
1894
 
1.5%
1819
 
1.5%
1770
 
1.4%
1723
 
1.4%
1635
 
1.3%
1614
 
1.3%
1595
 
1.3%
Other values (823) 102938
84.0%
Compat Jamo
ValueCountFrequency (%)
1935
99.9%
1
 
0.1%
Punctuation
ValueCountFrequency (%)
186
56.9%
50
 
15.3%
42
 
12.8%
41
 
12.5%
5
 
1.5%
2
 
0.6%
1
 
0.3%
None
ValueCountFrequency (%)
· 88
53.0%
­ 22
 
13.3%
  9
 
5.4%
÷ 8
 
4.8%
² 7
 
4.2%
± 6
 
3.6%
3
 
1.8%
3
 
1.8%
³ 3
 
1.8%
æ 2
 
1.2%
Other values (10) 15
 
9.0%
CJK
ValueCountFrequency (%)
88
22.2%
40
 
10.1%
9
 
2.3%
8
 
2.0%
西 7
 
1.8%
6
 
1.5%
6
 
1.5%
6
 
1.5%
5
 
1.3%
5
 
1.3%
Other values (135) 217
54.7%
Geometric Shapes
ValueCountFrequency (%)
27
60.0%
8
 
17.8%
7
 
15.6%
3
 
6.7%
Arrows
ValueCountFrequency (%)
23
85.2%
4
 
14.8%
CJK Compat
ValueCountFrequency (%)
18
62.1%
4
 
13.8%
3
 
10.3%
3
 
10.3%
1
 
3.4%
Math Operators
ValueCountFrequency (%)
12
63.2%
3
 
15.8%
2
 
10.5%
2
 
10.5%
Enclosed Alphanum
ValueCountFrequency (%)
10
22.7%
10
22.7%
9
20.5%
7
15.9%
5
11.4%
3
 
6.8%
Cyrillic
ValueCountFrequency (%)
А 4
80.0%
М 1
 
20.0%
Letterlike Symbols
ValueCountFrequency (%)
3
60.0%
2
40.0%
Number Forms
ValueCountFrequency (%)
2
66.7%
1
33.3%
Distinct1018
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-04-18T04:10:25.881319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length460
Mean length205.64327
Min length1

Characters and Unicode

Total characters249034
Distinct characters874
Distinct categories19 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique973 ?
Unique (%)80.3%

Sample

1st rowㅇ시에서는 신규 축구장 건설을 실제로 추진할 수 있는 마지막 입찰기회로 적절한 공급자를 찾기를 상당히 바라고 있어 체코에서 상당한 규모가 있는 건설 프로젝트로서는 우리기업에게 좋은 기회가 될 것임ㅇ시에서 필요한 서류작업을 마친상태이기 때문에 공급자 선정 후 입찰계약이 완료되면 공사시작이 바로 진행될 것으로 예상됨
2nd row아르헨티나에서 가장 중요한 주요 항로인만큼 선박들의 출입항이 좀 더 수월해질 수 있도록 신기술 인프라를 구축할 것으로 보임. 이에 한국기업 중 항로 프로젝트에 참가한 이력이 있는 기업들이 이번 프로젝트 입찰에 참가 및 수주를 한다면 차후 남미에 다른 국가에서 유사한 프로젝트가 있을 경우 수주를 하는데 많은 도움이 될 수 있을 것이라고 판단함.
3rd row없음
4th rowThis project is basically a ducting construction and procurement which consists of:1. Box culvert2. Conduit pipes3. Polesto be implemented in Badung Regency area. Experience in similar work or underground work could be a plus point in addition to cooperation/make a consortium with a local company preferably the one come from Bali or have network in Bali.
5th rowㅇ Misfah STP는 2019년 오만에 공포된 오만 민관합작투자사업법(PPP법)에 따라 시행되는 오만 내 최초의 하수처리장 중 하나 - RfQ는 2020년 2분기 이전, RfP는 2020년 4분기 이전에 발행될 예정 - 18km의 하수관은 처리하수(Treated Effluent, TE)를 위한 도관(off-take)으로, Al Misfah에서 Alsab-Murayat 도로를 따라 Oman Cement Company Plant 인근지역에 건설 예정 - Haya Water가 처리하수 구매자(Off-taker)
ValueCountFrequency (%)
the 1284
 
2.7%
to 652
 
1.4%
of 642
 
1.4%
and 586
 
1.2%
in 538
 
1.1%
520
 
1.1%
is 512
 
1.1%
for 466
 
1.0%
project 436
 
0.9%
418
 
0.9%
Other values (11853) 41038
87.1%
2024-04-18T04:10:26.316624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46317
 
18.6%
e 12911
 
5.2%
t 9853
 
4.0%
o 9409
 
3.8%
i 9073
 
3.6%
n 8827
 
3.5%
a 8514
 
3.4%
r 7919
 
3.2%
s 6140
 
2.5%
c 4563
 
1.8%
Other values (864) 125508
50.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 109284
43.9%
Other Letter 72598
29.2%
Space Separator 46317
18.6%
Uppercase Letter 9410
 
3.8%
Other Punctuation 4886
 
2.0%
Decimal Number 4100
 
1.6%
Dash Punctuation 914
 
0.4%
Close Punctuation 674
 
0.3%
Open Punctuation 612
 
0.2%
Control 67
 
< 0.1%
Other values (9) 172
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1968
 
2.7%
1548
 
2.1%
1488
 
2.0%
1432
 
2.0%
1379
 
1.9%
1283
 
1.8%
1224
 
1.7%
1087
 
1.5%
999
 
1.4%
987
 
1.4%
Other values (757) 59203
81.5%
Lowercase Letter
ValueCountFrequency (%)
e 12911
11.8%
t 9853
 
9.0%
o 9409
 
8.6%
i 9073
 
8.3%
n 8827
 
8.1%
a 8514
 
7.8%
r 7919
 
7.2%
s 6140
 
5.6%
c 4563
 
4.2%
l 4217
 
3.9%
Other values (16) 27858
25.5%
Uppercase Letter
ValueCountFrequency (%)
P 912
 
9.7%
T 862
 
9.2%
A 701
 
7.4%
C 686
 
7.3%
S 622
 
6.6%
E 612
 
6.5%
I 539
 
5.7%
K 481
 
5.1%
M 473
 
5.0%
D 447
 
4.8%
Other values (16) 3075
32.7%
Other Punctuation
ValueCountFrequency (%)
. 1874
38.4%
, 1766
36.1%
/ 440
 
9.0%
: 315
 
6.4%
' 113
 
2.3%
* 109
 
2.2%
@ 75
 
1.5%
% 64
 
1.3%
& 55
 
1.1%
· 24
 
0.5%
Other values (6) 51
 
1.0%
Decimal Number
ValueCountFrequency (%)
2 1040
25.4%
0 1017
24.8%
1 724
17.7%
3 317
 
7.7%
5 224
 
5.5%
9 180
 
4.4%
4 173
 
4.2%
8 161
 
3.9%
6 144
 
3.5%
7 120
 
2.9%
Math Symbol
ValueCountFrequency (%)
+ 28
45.2%
~ 18
29.0%
= 6
 
9.7%
> 5
 
8.1%
3
 
4.8%
1
 
1.6%
< 1
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 655
97.2%
] 11
 
1.6%
8
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 591
96.6%
[ 13
 
2.1%
8
 
1.3%
Other Symbol
ValueCountFrequency (%)
8
61.5%
3
 
23.1%
2
 
15.4%
Final Punctuation
ValueCountFrequency (%)
39
83.0%
8
 
17.0%
Initial Punctuation
ValueCountFrequency (%)
16
66.7%
8
33.3%
Other Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
46317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 914
100.0%
Control
ValueCountFrequency (%)
67
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 118694
47.7%
Hangul 72536
29.1%
Common 57734
23.2%
Han 70
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1968
 
2.7%
1548
 
2.1%
1488
 
2.1%
1432
 
2.0%
1379
 
1.9%
1283
 
1.8%
1224
 
1.7%
1087
 
1.5%
999
 
1.4%
987
 
1.4%
Other values (710) 59141
81.5%
Common
ValueCountFrequency (%)
46317
80.2%
. 1874
 
3.2%
, 1766
 
3.1%
2 1040
 
1.8%
0 1017
 
1.8%
- 914
 
1.6%
1 724
 
1.3%
) 655
 
1.1%
( 591
 
1.0%
/ 440
 
0.8%
Other values (44) 2396
 
4.2%
Latin
ValueCountFrequency (%)
e 12911
 
10.9%
t 9853
 
8.3%
o 9409
 
7.9%
i 9073
 
7.6%
n 8827
 
7.4%
a 8514
 
7.2%
r 7919
 
6.7%
s 6140
 
5.2%
c 4563
 
3.8%
l 4217
 
3.6%
Other values (42) 37268
31.4%
Han
ValueCountFrequency (%)
4
 
5.7%
4
 
5.7%
4
 
5.7%
4
 
5.7%
3
 
4.3%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (38) 39
55.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 176296
70.8%
Hangul 71838
28.8%
Compat Jamo 690
 
0.3%
Punctuation 71
 
< 0.1%
CJK 70
 
< 0.1%
None 58
 
< 0.1%
Geometric Shapes 5
 
< 0.1%
Arrows 3
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46317
26.3%
e 12911
 
7.3%
t 9853
 
5.6%
o 9409
 
5.3%
i 9073
 
5.1%
n 8827
 
5.0%
a 8514
 
4.8%
r 7919
 
4.5%
s 6140
 
3.5%
c 4563
 
2.6%
Other values (80) 52770
29.9%
Hangul
ValueCountFrequency (%)
1968
 
2.7%
1548
 
2.2%
1488
 
2.1%
1432
 
2.0%
1379
 
1.9%
1283
 
1.8%
1224
 
1.7%
1087
 
1.5%
999
 
1.4%
987
 
1.4%
Other values (708) 58443
81.4%
Compat Jamo
ValueCountFrequency (%)
690
100.0%
Punctuation
ValueCountFrequency (%)
39
54.9%
16
22.5%
8
 
11.3%
8
 
11.3%
None
ValueCountFrequency (%)
· 24
41.4%
8
 
13.8%
8
 
13.8%
8
 
13.8%
7
 
12.1%
2
 
3.4%
­ 1
 
1.7%
CJK
ValueCountFrequency (%)
4
 
5.7%
4
 
5.7%
4
 
5.7%
4
 
5.7%
3
 
4.3%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (38) 39
55.7%
Arrows
ValueCountFrequency (%)
3
100.0%
Geometric Shapes
ValueCountFrequency (%)
3
60.0%
2
40.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
50.0%
1
50.0%
Math Operators
ValueCountFrequency (%)
1
100.0%

Sample

번호프로젝트명중분류소분류국가명무역관(명)현장위치기업명프로젝트 단계발주방식사업자 선정방식입찰예정일프로젝트 일정재원조달(선택)재원조달규모(백만불)기간발굴일발굴실적 인정여부경제협력 사업여부온실가스감축여부작성일프로젝트 소스프로젝트 상세정보무역관 의견
02020-00013Hradec Kralove 축구 경기장 건설건설플랜트건축(레저)체코프라하무역관Hradec KralovePMA TENDER S.R.O.세부계획국제입찰기타 (가격+전문성(기술))2020-04-13ㅇ사전공지: 2019년 12월ㅇ입찰예정: 2020년 4월 중순ㅇ입찰종료: 2020년 5월ㅇ공사기간: 18개월미상시예산26.62020-04-13~2021-11-302020-01-02인정미조사미조사2020-01-14발주처 면담ㅇHardec Kralove시는 현재의 축구 경기장이 노후함에 따라, 현재 축구장 자리에 신규 축구경기장을 건설하고자 함. - 프로젝트는 Hradec Kralove 시예산으로 진행될 예정이며, PMA TENDER가 현지 에이전트로 진행할 예정임 - 이미 기존에 3번의 신규 축구장 건설을 위한 공개입찰 진행했으나, 예산내에 조건을 만족하는 적절한 공급자를 찾지 못해 취소된 바 있음 - 이번이 4번째 진행하는 입찰로 이번에도 적절한 건설회사를 찾지 못할 경우 자금확보와 서류준비 등 프로젝트를 다시 처음부터 시작해야하기 때문에 입찰성공을 바라고 있는 상황임.ㅇ축구 경기장 개요- 1만여명을 수용할 수 있는 4개의 관중석(스탠드)와 잔디구장(UEFA 기준만족) 포함- 기존의 막대사탕 모양의 조명시스템 구조를 유지해 현대식으로 재현 (첨부의 면담일지 사진 참고)- Hradec Kralove시는 2017년 가을 서쪽 관중석을 철거했으며, 동쪽 연단만 남기고 나머지는 다시 건설할 계획임. * 첨부 문서 참조ㅇ시에서는 신규 축구장 건설을 실제로 추진할 수 있는 마지막 입찰기회로 적절한 공급자를 찾기를 상당히 바라고 있어 체코에서 상당한 규모가 있는 건설 프로젝트로서는 우리기업에게 좋은 기회가 될 것임ㅇ시에서 필요한 서류작업을 마친상태이기 때문에 공급자 선정 후 입찰계약이 완료되면 공사시작이 바로 진행될 것으로 예상됨
12020-00014아르헨티나 주요 항로 확장 프로젝트건설플랜트토목(항만)아르헨티나부에노스아이레스무역관Buenos Aires주 및 Santa Fe주PUERTOS ARGENTINO입찰국제입찰기술심사2020-06-01입찰 공고일: 2020년 6월제안서 제출일: 2020년 8월제안서 개봉일: 2020년 11월낙찰일: 2020년 12월계약일: 2021년 1월미상투자유지1902020-06-01~2030-06-012020-01-02인정미조사미조사2020-01-14발주처 면담연간 약 4400대의 선박이 출입하는 아르헨티나 주요 항로(RECALADA-SANTA FE:약 820KM)를 확장하고 새로운 기술력의 인프라로 구축하기 위한 프로젝트임.현재 확장을 하려는 항로는 아르헨티나의 주요 항로이나 개발 및 인프라 부족으로 인하여 선박들의 출입하는 시간이 지속적으로 지연되고 있는 현상이 나타나고 있음. 이에 아르헨티나 연방정부 항만교통부에서는 프로젝트를 총 3단계로 나눠서 진행할 예정임.1 단계: 항로 확장, 출입로 재설계 및 항로 교통 표지판 추가 설치2 단계: RECALADA-TIMBUES 항로 깊이 36인치까지 확장3 단계: RECALADA-TIMBUES 항로 깊이 38인치까지 확장** 첨부 문서 참조아르헨티나에서 가장 중요한 주요 항로인만큼 선박들의 출입항이 좀 더 수월해질 수 있도록 신기술 인프라를 구축할 것으로 보임. 이에 한국기업 중 항로 프로젝트에 참가한 이력이 있는 기업들이 이번 프로젝트 입찰에 참가 및 수주를 한다면 차후 남미에 다른 국가에서 유사한 프로젝트가 있을 경우 수주를 하는데 많은 도움이 될 수 있을 것이라고 판단함.
22020-00024Construction Of Turkistan City Bypass건설플랜트토목(도로)카자흐스탄알마티무역관TurkistanCOMMITTEE FOR ROADS OF MINISTRY OF INVESTMENTS AND DEVELOPMENTF/S기타 (Contract)기술심사2020-07-012020.07 - 입찰기간2020-2024 - 건설작업미상국제기금(World Bank)782020-01-01~2024-12-312020-01-21인정미조사미조사2020-01-21발주처 면담ㅇ 프로젝트 소개 - 프로젝트명 : 투르키스탄시 우회도로 건설공사 - 총 연장 : 48km - 사업비 : 약 7,800만 달러 * 참고 : 남카자흐스탄주는 쉼켄트(100만 명)시 등이 위치한 인구밀집 지역으로 도로건설, 인프라 확충, 주택건설 등 다양한 프로젝트들이 정부/민간 차원에서 실행되고 있음 ㅇ 재원조달방안 : 카자흐스탄 재무부와 세계은행(World Bank)이 공동 출자ㅇ 해당 프로젝트가 한국기업에 가져다 줄 이점 및 예상 수익 - 신북방정책 중심지역인 카자흐스탄으로의 진출 - 중앙아시아 인프라건설 경험을 확보하여 추후 입찰 진행 시 유리한 진출기반 마련 ㅇ 프로젝트 일정 - 2020.07 - 입찰기간 - 2020-2024 - 시공ㅇ 한국 투자자가 겪을 수 있는 위험요소 - 정치적 리스크;- 중국, 터키 등 기업들로부터의 높은 경쟁률없음
32020-00029Badung Integrated Utility Network Development건설플랜트도시(지하공간)인도네시아자카르타무역관BaliGOVERNMENT OF BADUNG REGENCY세부계획국제입찰최저가격2020-06-012019: OBC2020 Q1: FBC2020 Q2: PQ2020 Q3: RFP2021: Bid submission2021: Bid award2021: Contract signing2021: Financial close2022: Construction미상public private partnership, jointventures77.62020-06-01~2022-12-302019-12-18인정미조사미조사2020-01-27발주처 면담As one of the tourism main destination in Bali, Badung Regency has always been packed with tourists. Authentic town scenery is one of its attractive point thus the government try as much as possible to make the area looks clean and neat. Development of Integrated Utility Network (IUN) of Badung Regency is an initiative from Badung Regent to relocate cablings above the ground to underground by making the utility network that consists of box culvert, conduit pipes, and poles. The objective of this project encompasses:- Reduce traffic disruptions- Support aesthetics and amenities- Simplify the maintenance of utility networks- Support tourism facilities* 첨부 문서 참조This project is basically a ducting construction and procurement which consists of:1. Box culvert2. Conduit pipes3. Polesto be implemented in Badung Regency area. Experience in similar work or underground work could be a plus point in addition to cooperation/make a consortium with a local company preferably the one come from Bali or have network in Bali.
42020-00035Misfah 하수처리장(Sewage Treatment Plant, STP) 건설 프로젝트건설플랜트환경(상하수도)오만무스카트무역관MisfahHAYA WATER세부계획국제입찰기타 (기술 및 가격 심사)2020-06-30- RfQ는 2020년 2분기 이전, RfP는 2020년 4분기 이전에 발행될 예정- 프로젝트 완공 예상 시기 : 2023년 4분기미상발주자펀딩 & PPP3002020-06-01~2023-09-302020-01-26인정미조사미조사2020-01-29발주처 면담ㅇ (개요) 민관합작투자사업(PPP)형태의 하수처리장(Sewage Treatment Plant, STP)ㅇ (프로젝트 상세사항) - 내용 : 일평균 40.000m3 하수처리가 가능한 하수처리장의 설계, 자금조달, 건설 및 운영과 현재 운영 중에 있는 Al Ansab 하수처리장을 잇는 18km 하수관의 설계, 자금조달, 건설 패키지- 규모 : 3억~5억 USD - 지역 : 수도 무스카트 인근 바우셔(Bausher)주 내 Misfah - EPC 발주 예상 시기 : 2020년 2분기 - 발주처 : Haya Water - 입찰 방식 : 국내-국제 입찰* 기술 및 가격 평가 진행 예정 - 펀딩 : Haya Water(발주자)및 PPP형태 (발주자 펀딩을 포함한 PPP형태로 이루어질 예정이며 세부 내용 추후 발표)*(참고)오만 내 PPP법 2020년 중반 발효 예정으로 세부 법안 미공개 - 프로젝트 완공 예상 시기 : 2023년 4분기ㅇ Misfah STP는 2019년 오만에 공포된 오만 민관합작투자사업법(PPP법)에 따라 시행되는 오만 내 최초의 하수처리장 중 하나 - RfQ는 2020년 2분기 이전, RfP는 2020년 4분기 이전에 발행될 예정 - 18km의 하수관은 처리하수(Treated Effluent, TE)를 위한 도관(off-take)으로, Al Misfah에서 Alsab-Murayat 도로를 따라 Oman Cement Company Plant 인근지역에 건설 예정 - Haya Water가 처리하수 구매자(Off-taker)
52020-00040Elevators Factory Creation in Saint Petersburg건설플랜트산업(공장설비)러시아연방모스크바무역관Saint PetersburgENERGOSBEREZHENIE LLC세부계획국제입찰기술심사2020-03-16Project plan 2020Signing the agreement 2020Creating the factory 2020Product certification 2021Sales start 2021미상owner funding / joint venture202020-06-19~2024-12-312020-01-13인정미조사미조사2020-02-04발주처 면담The aim of the project is to create favorable conditions for the implementation of the city program for the replacement (major repairs) of elevators in apartment buildings. In accordance with this program, from 700 to 1200 elevators are to be replaced annually in St. Petersburg, in the amount of about 1.5 billion rubles / year, for which the corresponding amounts are allocated from the city budget. In general, about 3 thousand passenger elevators are put into operation annually in St. Petersburg, worth more than 4.5 billion rubles. This market is mainly shared by representatives of elevator manufacturers OTIS (USA) and Mogilevliftmash OJSC (Belarus). In these conditions, the Administration of St. Petersburg is interested in the appearance in the city of its own production of elevators and supports the Joint Venture developed by “Energosberezhenie” together with “Ferrit-Domen” and Korean company.The projest idea: Creation of a joint venture with the participation of representative companies from the Russian FeThis is a good opportunity for Korean companies to enter the Russian market. The project was approved by the local government of St.Petersburg, the joint venture will be granted with the state contruct on the elevators supplues.
62020-00056PKM Pellet Project건설플랜트산업(공장설비)인도네시아자카르타무역관IndonesiaPT SINAR MAS AGRO RESOURCES AND TECHNOLOGY TBK.계획수의계약최저가격2020-07-27Currently open for business negotiation. No timeframe until cooperation agreement is deal. Project owner expects to have a deal by end of 2020.미상owner funding (private)12020-07-27~2020-12-312020-02-13인정미조사미조사2020-02-17발주처 면담PT Sinar Mas Agro Resources and Technology (SMART) Tbk (subsidiary of Sinarmas Group) opens a partnership for a biomass fuel opportunity for Korean market. They would like to pitch PKM pellet as one of the potential fuel for Korean co-firing thermal power plants.(The cost info stated above is not actual project amount. Actual amount/price will be decided upon negotiation).* 세부 사업 내용은 첨부 문서 참조The PIC (Mr. Avnish) is looking forward to interesting Korean company to discuss further about the business cooperation. For initial stage, you may email him directly. Project owner preferred to disclose more detail information in further discussion/meeting.
72020-00070Distribution system Improvement in Command areas targeting continuous pressurized water supply and DMA baseed NRW reduction and providing house Service Connections.건설플랜트환경(상하수도)인도뉴델리무역관DelhiDELHI JAL BOARD, GOVERNMENT OF DLEHI계획국제입찰기타 (Lowest Price + Technical Examination )2020-11-25Last date and time of receipt of technical bid through eprocurement solution : 10 Dec 2020Date and time of opening of technical bid through eprocurement solution : 10 Dec 2020Date and time of opening of financial bid through eprocurement solution : 17 Dec 2020미상Asian development Bank (ADB)752020-12-17~2024-12-192020-02-24인정NO미조사2020-02-24발주처 면담The Delhi Jal Board will be implement over time period and will improve the infrastructure, management and performance of the water supply services in the proposed STP, WTP command area located in Delhi. * Commend area: South Delhi which includes - mehrauli, kalkaji, Amar colony, Chattarpur.The investment program will include the rehabilitation, upgrading and/or replacement of key water supply infrastructure, improvements in the management of the infrastructure and improved customer related services within the command area. The Delhi Jal Board will be implement as a multi-tranche financing facility on the upcoming projects.Distribution network improved in the WTP Command Area.Water treatment and transmission systems improved in the WTP command area.Institutional capacity, DMA management and program management strengthened.Distribution system Improvement in Command areas, Targeting continuous pressurized water supplyDMA based NRW reduction and providing house Service Connections. 10 years O&MOne of the best projects which is coming up with ADB fund, but we have advantage that Korean companies would be given extra weightage over other.
82020-00074Advanced Metering Infrastructure in India initiative by Central Electricity Authority Of India건설플랜트기타(기타)인도콜카타무역관PAN IndiaDHANASHREE ELECTRONICS LIMITED입찰국제입찰기타 (Lowest Price & Technical Examination)2020-06-14Last Date and time of receipt of technical bid : 14th June 2020Date and time of opening of technical bid : 14th June 2020Date and time of opening of financial bid : 14th June 2020미상Joint Ventures442020-06-30~2025-06-012020-02-19인정NO미조사2020-02-25발주처 면담Dhanashree Electronics Limited is interested to work on a Government project - Advanced Metering Infrastructure a PAN India project which is an initiative of Central Electricity Authority Of India and they are looking to partner with a Korean company who will Supply Smart Meters and Meter Boxes with GPRS compatible NIC Cards. The Korean company need to also work in installing the same, deployment of IT Infra (Head End and MDM Software and hardware) on cloud, hiring of cloud hosting and GPRS service provider, testing, commissioning and integration of Advance Metering Infrastructure (AMI system) and integration of the AMI system with Legacy billing system of utility. The Indian company wants that the Korean company will bring in the products and some capital investment to complete the project.Dhanashree Electronics Limited is a Public Limited Company with multiple businesses. Lighting Manufacturing, Electrical Goods Marketing, Installation Services, Professional Audio, Recording Studio, Renting Spaces, Trading of multiple international brands and much more. It is 29+ years old company with strong financial backbone. They are one of the oldest players in Indis when it comes to lighting and have tie ups with both Private and Government companies. The Indian company will be happy to form a joint venture with a Korean company and they are seriously looking for a right partner. Smart metering is an upcoming thing in India and there are lots of projects where the Korean company can get involved by formimg a strategic alliance with the Indian company.
92020-00076Public Security in Campinas건설플랜트도시(스마트시티)브라질상파울루무역관Campinas city / Sao Paulo stateCAMPINAS CITY계획국제입찰기술심사2021-03-08- the project is being planned- responsible is studying the technology and solutions related to this project during 2020미상PPP102021-03-08~2022-03-082020-02-20인정미조사미조사2020-02-28발주처 면담*발주방식: Public project*현장위치: Campinas city (Sao Paulo state)*입찰예정일: 2021 1st semester*재원조달방식: PPP project*입찰 Time Table: - the project is being planned- responsible is studying the technology and solutions related to this project*프로젝트 설명:1. Solutions for real-time monitoring and analysis, through monitoring panels, georeferencing information and intelligent audio and video monitoring.- Mapping of events in real time, timeline and graphics, integrated video surveillance cameras.- Mapping of statistical data, organizing different types of crimes by layers.2. Solutions that help to identify and prevent the occurrence of crimes and crimes in public places such as streets, squares and public transport.- Automation of video monitoring through intelligent video and audio analysis. Video analysis will accurately detect events in videos, instantly inform operators or trigger an alarm.- Recognition of people, cars, objects, by color (clothing), size and etc.- Intrusion detection in vulnerable places.- Counting people anMr. Carlos Passos participated in the “LAC Smart City” held in December of 2019 in Korea by Kotra HQ and Kotra LATAM regional office. He mentioned about the technology used in TOPIS and would like to know more about it.
번호프로젝트명중분류소분류국가명무역관(명)현장위치기업명프로젝트 단계발주방식사업자 선정방식입찰예정일프로젝트 일정재원조달(선택)재원조달규모(백만불)기간발굴일발굴실적 인정여부경제협력 사업여부온실가스감축여부작성일프로젝트 소스프로젝트 상세정보무역관 의견
12012022-00922폴란드 제슈프(RZESZ-W) 지역 태양광 발전 시스템 구축 프로젝트건설플랜트신재생(태양광)폴란드바르샤바무역관제슈프(RZESZ-W)PGE GROUP계획국제입찰기타 (가격60%, 보증기간40%)2023-06-30ㅇ 본 프로젝트는 PQ(입찰자격사전심사)를 통해 최대 5개사를 선정- 본 입찰(2023년 6월) 이후 계약 협의 및 최종 계약 예정기타발주처펀딩 및 외부기금3.52023-07-01~2024-12-312022-12-16인정NOYES2022-12-31발주처 면담ㅇ 폴란드 제슈프 스마트 태양광 발전 시스템 구축 프로젝트 정보 파악- 폴란드 제슈프(RZESZ-W) 지역은 신재생에너지 사용을 통한 그린· 스마트시티로의 전환을 위해 2.5KWP인 120개의 태양광 설비 구축- 총 350만 달러 규모의 프로젝트로 입찰 후 2024년 말까지 설계 및 공사를 완료할 계획- 태양광 설치 모니터링 시스템, 전체 시스템의 전기적 측정, 설치된 PV 설비의 사용과 관련된 작동, --사용, 유지보수 등 포함- 또한 제슈프 지역의 스마트그리드 방식의 에너지 생산 및 관리를 위한 전사적 통합 시스템 구축 및 구현 프로젝트 운영 방식 * 중앙 데이터베이스의 수집 및 저장, RES(신재생에너지원) 설치에 대한 정보, 특정 설비에서 생산된 에너지 양에 대한 보고서 출력 등폴란드 제슈프 스마트 태양광 발전 시스템 구축 프로젝트 관련 관심있는 우리 기업 발굴 예정
12022022-00924폴란드 라돔(RADOM) 지역 스마트그리드 전력망 프로젝트건설플랜트전력(스마트그리드)폴란드바르샤바무역관라돔(RADOM)RADPEC계획국제입찰기타 (가격60%, 기술30%, 보증기간10%)2023-08-31본 프로젝트는 PQ(입찰자격사전심사)를 통해 최대 6개사 선정- 2023년 8월 이후 본 입찰, 계약 협의 및 최종 계약 예정- 총 29백만불 규모의 프로젝트로 입찰 후 ’24.12월까지 설계 및 공사를 완료할 계획기타발주처펀딩 및 외부기금292023-09-01~2024-12-312022-12-19인정NOYES2022-12-31발주처 면담o 사업 개요- 라돔(RADOM)시는 스마트그리드 구축 프로젝트 계획을 추진 중이며, EPC 형태의 설계, 조달, 시공, 운영 등 기업을 물색 중에 있음.- 전력 공급자와 소비자가 실시간 정보를 교환함으로써 에너지 효율을 최적화하는 디지털그린의 지능형 전력망 구축 예정o 스마트 그리드 프로젝트 주요 내용① 에너지관리시스템(Energy Management System, EMS)- 건물 에너지의 사용량을 파악하고 각종 설비의 운전 현황을 종합적으로 분석하여 최적의 운전 상태를 유지할 수 있도록 지원하는 에너지 관리 시스템② 지능형 원격검침인프라(Advanced Metering Infrastructure, AMI)- 양방향 통신 기능이 추가되고 스마트 미터, 계랑 데이터 관리 소프트웨어 등으로 구성된 계량 시스템③ 에너지저장시스템(Energy Storage System, ESS) 구축 사업- 생산된 전기를 저장장치(배터리 등)에 저장했다가 전력이 필요할 때 공급하여 전력 사용 효율 향상을 도모하는 시스템o 추진 현황- 본 프로젝트는 PQ(입찰자격사전심사)를 통해 최대 6개사 선정- 2023년 8월, 본 입찰 착수, 이후 계약 협의 및 최종 계약 예정- 총 29백만불 규모- '24.12월까지 설계 및 공사를 완료할 계획스마트그리드 프로젝트에 관심이 매우 높고 한국의 관련 공사 경험과 기술을 가진 기업의 발주처 면담을 적극 추천
12032022-00928폴란드 슈체친(Szczecin) 지역 지하 주차장 E-Parking 시스템ICT융복합스마트시티(교통/물류)폴란드바르샤바무역관슈체친(Szczecin)URZD MIASTA SZCZECIN계획국제입찰기타 (가격60%, 기술30%, 보증기간10%)2023-05-31본 프로젝트는 PQ(입찰자격사전심사)를 통해 최대 4개사로 우선 추리고 본 입찰(2023년 5월) 이후 계약 협의 및 최종 계약 예정* 총 6백만불 규모 프로젝트로 입찰 후 2024년까지 설계 및 공사 완료 예정미상발주처펀딩 및 외부기금62023-06-01~2024-12-312022-12-21인정미조사미조사2022-12-31기타ㅇ 슈체친시 E-parking system 프로젝트관련 정보 파악- 슈체친시는 Plac Brama Portowa거리에 대규모 지하 주차장 공사를 계획 중인데 이 주차장의 주차를 전자적으로 관리 할 수 있는 E-parking system 구축하는 프로젝트를 추진 중임.- 대규모 디스플레이 보드를 통해 주차 현황을 안내하고, CCTV 나 센서를 통해 주차공간을 관리하고 이를 온라인 및 스마트 폰앱으로 연결시키는 프로젝트로 약 300여개의 주차공간을 공통적으로 관리하는 통합시스템을 구축하는 프로젝트임- 동 프로젝트는 공용 주차 공간 건설 프로젝트의 일환으로 진행되는 것으로 현재 입찰을 위한 서류 작업을 진행 중인으로 파악됨현재 유사한 프로젝트가 크라코프, 바르샤바 등 주요 도시에서 검토되고 있는바 관심기업의 발주처와의 지속적인 네트워킹 구축이 필요할 것으로 보임
12042022-00931폴란드 오스트제슈프(Ostrzeszow) 지역 엑스레이 의료장비 조달공공조달의료의약폴란드바르샤바무역관오스트제슈프(Ostrzeszow)OSTRZESZOWSKIE CENTRUM ZDROWIA계획국제입찰기타 (가격60%, 보증기간40%)2023-01-23입찰공고일 : 21/12/2022접수마감일 : 23/01/2023입찰예정일 : 23/01/2023미상발주처펀딩 및 외부기금12023-02-01~2024-12-312022-12-20인정미조사미조사2022-12-31기타폴란드 오스트제슈프(Ostrzeszow) 지역 엑스레이 의료장비 조달- Ostrzeszow시 지역의 보건소에서 엑스레이 등 의료서비스용 전문 진단 장비 및 의료 장비(IT소프트웨어 포함) 조달(1백만불)을 위한 입찰을 계획 중에 있음.- 입찰예정일은 2023년 1월 23일이며, 폴란드어로 입찰진행 예정 * 입찰공고일 : 21/12/2022 / 접수마감일 : 23/01/2023 / 입찰예정일 : 23/01/2023* https://ted.europa.eu/udl-uri=TED:NOTICE:713585-2022:TEXT:EN:HTML&src=0&tabId=0관련 납품 및 서비스를 운영하는 업체는 본 입찰에 관심을 가질 것을 제안
12052022-00932폴란드 투셰피(Tuczepy) 지역 태양광 모듈 납품 및 조달공공조달수처리, 환경폴란드바르샤바무역관투셰피(Tuczepy)GMINA TUCZEPY계획국제입찰기타 (가격60%, 품질40%)2023-01-23입찰공고일 : 21/12/2022접수마감일 : 23/01/2023입찰예정일 : 23/01/2023미상발주처펀딩 및 외부기금1.32023-02-01~2024-12-312022-12-20인정미조사미조사2022-12-31기타폴란드 투셰피(Tuczepy) 지역 태양광 모듈 납품 및 조달- 투셰피 지역은 '거리 조명등 현대화 및 공공건물 태양광 모듈 설치' 조달 사업의 일환으로 시행되는 태양광 모듈 납품 및 조립 조달(1.3백만불) 입찰을 계획 중에 있음.- 입찰예정일은 2023년 1월 23일이며, 폴란드어로 입찰진행 예정 * 입찰공고일 : 21/12/2022 / 접수마감일 : 23/01/2023 / 입찰예정일 : 23/01/2023* https://ted.europa.eu/udl-uri=TED:NOTICE:711093-2022:TEXT:EN:HTML&tabId=0관련 납품 및 서비스를 운영하는 업체는 본 입찰에 관심을 가질 것을 제안
12062022-00933폴란드 벨라체프(Bialaczow) 지역 태양광 모듈 납품 및 조달공공조달수처리, 환경폴란드바르샤바무역관벨라체프(Bialaczow)GMINA LUBARTOW계획국제입찰기타 (가격60%, 보증기간40%)2023-01-31입찰공고일 : 23/12/2022접수마감일 : 31/01/2023입찰예정일 : 31/01/2023미상발주처펀딩 및 외부기금1.62023-02-01~2024-12-312022-12-21인정미조사미조사2022-12-31기타폴란드 벨라체프(Bialaczow) 지역 태양광 모듈 납품 및 조달 - Bialaczow지역은 "Bialaczow 지역의 재생 가능 에너지원" 조달 프로젝트의 일환으로 구현되는 태양광 설비 납품 및 조립(197개) 조달(1.6백만불)을 위한 입찰을 계획 중에 있음. - 입찰예정일은 2023년 1월 31일이며, 폴란드어로 입찰진행 예정* 입찰공고일 : 23/12/2022 / 접수마감일 : 31/01/2023 / 입찰예정일 : 31/01/2023* https://ted.europa.eu/udl-uri=TED:NOTICE:730071-2022:TEXT:EN:HTML&tabId=0관련 납품 및 서비스를 운영하는 업체는 본 입찰에 관심을 가질 것을 제안
12072022-00934폴란드 위룬(Wielun) 지역 열 생산용 태양열 집열기 조달공공조달수처리, 환경폴란드바르샤바무역관위룬(Wielun)GMINA WIELUN계획국제입찰기타 (가격60%, 품질40%)2023-01-31입찰공고일 : 28/12/2022접수마감일 : 31/01/2023입찰예정일 : 31/01/2023미상발주처펀딩 및 외부기금1.252023-02-01~2024-12-312022-12-21인정미조사미조사2022-12-31기타폴란드 위룬(Wielun) 지역 열 생산용 태양열 집열기 조달 - Wielun 지역은 "Wielun의 재생에너지 사용의 확대" 조달 프로젝트의 일환으로 구현되는 새로운 태양광(239개) 및 광발전의(41개) 시설 납품(1.25백만불)을 위한 입찰을 계획 중에 있음. - 입찰예정일은 2023년 1월 31일이며, 폴란드어로 입찰진행 예정* 입찰공고일 : 28/12/2022 / 접수마감일 : 31/01/2023 / 입찰예정일 : 31/01/2023* https://ted.europa.eu/udl-uri=TED:NOTICE:731232-2022:TEXT:EN:HTML&tabId=0관련 납품 및 서비스를 운영하는 업체는 본 입찰에 관심을 가질 것을 제안
12082022-00935폴란드 바르샤바(Warsaw) 지역 배전용 케이블 조달공공조달공사, 정비폴란드바르샤바무역관바르샤바(Warsaw)POLSKIE SIECI ELEKTROMAGNETYCZNNE계획국제입찰기타 (가격60%, 기술30%, 보증기간10%)2023-02-14입찰공고일 : 12/12/2022접수마감일 : 14/02/2023입찰예정일 : 14/02/2023미상발주처펀딩 및 외부기금1.882023-03-01~2024-12-312022-12-21인정미조사미조사2022-12-31기타폴란드 바르샤바(Warsaw) 지역 배전용 케이블 조달 - 폴란드 Polskie Sieci Elektormagnetyczne 회사는 바르샤바 지역내 각종 전압의 배전케이블 조달(1.88백만불)을 위한 입찰을 계획 중에 있음. - 입찰예정일은 2023년 2월 14일이며, 폴란드어로 입찰진행 예정* 입찰공고일 : 12/12/2022 / 접수마감일 : 14/02/2023 / 입찰예정일 : 14/02/2023* https://ted.europa.eu/udl-uri=TED:NOTICE:690835-2022:TEXT:EN:HTML&tabId=0관련 납품 및 서비스를 운영하는 업체는 본 입찰에 관심을 가질 것을 제안
12092022-00936폴란드 니지차(Nidzica) 지역 엑스레이 의료장비 조달공공조달의료의약폴란드바르샤바무역관니지차(Nidzica)ZESPOL OPIEKI ZDROWOTNEJ계획국제입찰기타 (가격60%, 기술20%, 보증기간20%)2023-03-31입찰공고일 : 16/11/2022접수마감일 : 31/03/2023입찰예정일 : 31/03/2023미상발주처펀딩 및 외부기금1.22023-04-01~2024-12-312022-12-22인정미조사미조사2022-12-31기타폴란드 니지차(Nidzica) 지역 엑스레이 의료장비 조달 - Nidzica 지역의 의료 단지에서 엑스레이 장비 등 의료서비스에 필요한 전문 진단 장비 조달(1.2백만불)을 계획 중에 있음.* 보증금: 20,000PLN - 입찰예정일은 2023년 3월 31일이며, 폴란드어로 입찰진행 예정* 입찰공고일 : 16/11/2022 / 접수마감일 : 31/03/2023 / 입찰예정일 : 31/03/2023* https://ted.europa.eu/udl-uri=TED:NOTICE:643692-2022:TEXT:EN:HTML&src=0&tabId=0관련 납품 및 서비스를 운영하는 업체는 본 입찰에 관심을 가질 것을 제안
12102022-00937폴란드 루바토우(Lubartow) 지역 태양광 모듈 납품 및 조달공공조달수처리, 환경폴란드바르샤바무역관루바토우(Lubartow)GMINA LUBARTOW계획국제입찰기타 (가격60%, 기술20%, 보증기간20%)2023-01-17입찰공고일 : 14/12/2022접수마감일 : 17/01/2023입찰예정일 : 17/01/2023미상발주처펀딩 및 외부기금1.152023-02-01~2024-12-312022-12-16인정미조사미조사2022-12-31기타폴란드 루바토우(Lubartow) 지역 태양광 모듈 납품 및 조달 - 루바토우(Lubartow) 지역은 "루바투프 코뮌의 청정에너지2단계" 조달 프로젝트의 일환으로 구현되는 태양광 모듈 납품 및 조립 조달(1.15백만불)을 위한 입찰을 계획 중에 있음. - 입찰예정일은 2023년 1월 17일이며, 폴란드어로 입찰진행 예정 * 입찰공고일 : 14/12/2022 / 접수마감일 : 17/01/2023 / 입찰예정일 : 17/01/2023* https://ted.europa.eu/udl-uri=TED:NOTICE:694913-2022:TEXT:EN:HTML&src=0&tabId=0관련 납품 및 서비스를 운영하는 업체는 본 입찰에 관심을 가질 것을 제안