Overview

Dataset statistics

Number of variables27
Number of observations1376
Missing cells3227
Missing cells (%)8.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory293.1 KiB
Average record size in memory218.1 B

Variable types

Numeric1
Text12
DateTime4
Categorical9
Unsupported1

Dataset

DescriptionKOTRA의 2019년도 2분기 기준 해외 유망프로젝트 정보에 대한 데이터로 프로젝트명, 국가명, 프로젝트 규모, 발주처명 등의 정보를 제공
Author대한무역투자진흥공사
URLhttps://www.data.go.kr/data/15048867/fileData.do

Alerts

문의사항링크 has constant value ""Constant
관련문서 has constant value ""Constant
등록일시 has constant value ""Constant
수정일시 has constant value ""Constant
중분류명 is highly imbalanced (69.8%)Imbalance
프로젝트소스 is highly imbalanced (69.8%)Imbalance
소분류명 has 840 (61.0%) missing valuesMissing
해외발주처명 has 219 (15.9%) missing valuesMissing
입찰예정일자 has 27 (2.0%) missing valuesMissing
규모금액(백만불) has 25 (1.8%) missing valuesMissing
홈페이지 has 1376 (100.0%) missing valuesMissing
무역관의견 has 61 (4.4%) missing valuesMissing
자료원 has 654 (47.5%) missing valuesMissing
연번 has unique valuesUnique
프로젝트번호 has unique valuesUnique
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 07:00:37.777684
Analysis finished2023-12-12 07:00:40.738323
Duration2.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1376
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean688.5
Minimum1
Maximum1376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.2 KiB
2023-12-12T16:00:40.818305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile69.75
Q1344.75
median688.5
Q31032.25
95-th percentile1307.25
Maximum1376
Range1375
Interquartile range (IQR)687.5

Descriptive statistics

Standard deviation397.3613
Coefficient of variation (CV)0.57714059
Kurtosis-1.2
Mean688.5
Median Absolute Deviation (MAD)344
Skewness0
Sum947376
Variance157896
MonotonicityStrictly increasing
2023-12-12T16:00:40.965151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
916 1
 
0.1%
924 1
 
0.1%
923 1
 
0.1%
922 1
 
0.1%
921 1
 
0.1%
920 1
 
0.1%
919 1
 
0.1%
918 1
 
0.1%
917 1
 
0.1%
Other values (1366) 1366
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1376 1
0.1%
1375 1
0.1%
1374 1
0.1%
1373 1
0.1%
1372 1
0.1%
1371 1
0.1%
1370 1
0.1%
1369 1
0.1%
1368 1
0.1%
1367 1
0.1%

프로젝트번호
Text

UNIQUE 

Distinct1376
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2023-12-12T16:00:41.380145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters13760
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

Unique1376 ?
Unique (%)100.0%

Sample

1st row2017-01125
2nd row2017-01103
3rd row2017-01074
4th row2017-01036
5th row2017-00775
ValueCountFrequency (%)
2017-01125 1
 
0.1%
2013-00145 1
 
0.1%
2013-00134 1
 
0.1%
2013-00138 1
 
0.1%
2013-00139 1
 
0.1%
2013-00140 1
 
0.1%
2013-00141 1
 
0.1%
2013-00142 1
 
0.1%
2013-00143 1
 
0.1%
2013-00129 1
 
0.1%
Other values (1366) 1366
99.3%
2023-12-12T16:00:41.888783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4577
33.3%
2 2095
15.2%
1 2000
14.5%
- 1376
 
10.0%
3 935
 
6.8%
4 775
 
5.6%
5 538
 
3.9%
6 527
 
3.8%
7 380
 
2.8%
8 292
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12384
90.0%
Dash Punctuation 1376
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4577
37.0%
2 2095
16.9%
1 2000
16.1%
3 935
 
7.6%
4 775
 
6.3%
5 538
 
4.3%
6 527
 
4.3%
7 380
 
3.1%
8 292
 
2.4%
9 265
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 1376
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4577
33.3%
2 2095
15.2%
1 2000
14.5%
- 1376
 
10.0%
3 935
 
6.8%
4 775
 
5.6%
5 538
 
3.9%
6 527
 
3.8%
7 380
 
2.8%
8 292
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4577
33.3%
2 2095
15.2%
1 2000
14.5%
- 1376
 
10.0%
3 935
 
6.8%
4 775
 
5.6%
5 538
 
3.9%
6 527
 
3.8%
7 380
 
2.8%
8 292
 
2.1%
Distinct1363
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2023-12-12T16:00:42.203466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length195
Median length113
Mean length36.735465
Min length3

Characters and Unicode

Total characters50548
Distinct characters738
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1350 ?
Unique (%)98.1%

Sample

1st row105 MW Gabral-Kelam hydro power project
2nd rowCapacity Enhancement Of Chitral Hydel Power Station
3rd rowConstruction of Rajanpur DG Khan Section(N-55) as 4-Lane Highway
4th rowShyok Dam Multipurpose Project
5th rowSindh E-Government Cloud Application
ValueCountFrequency (%)
프로젝트 473
 
5.6%
project 219
 
2.6%
건설 178
 
2.1%
of 169
 
2.0%
and 112
 
1.3%
95
 
1.1%
power 86
 
1.0%
83
 
1.0%
plant 70
 
0.8%
for 64
 
0.8%
Other values (3515) 6866
81.6%
2023-12-12T16:00:42.730097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7079
 
14.0%
a 2450
 
4.8%
e 2372
 
4.7%
o 2013
 
4.0%
t 1999
 
4.0%
n 1991
 
3.9%
r 1924
 
3.8%
i 1647
 
3.3%
l 958
 
1.9%
s 956
 
1.9%
Other values (728) 27159
53.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 22439
44.4%
Other Letter 12212
24.2%
Space Separator 7080
 
14.0%
Uppercase Letter 6409
 
12.7%
Decimal Number 960
 
1.9%
Open Punctuation 428
 
0.8%
Close Punctuation 426
 
0.8%
Other Punctuation 339
 
0.7%
Dash Punctuation 237
 
0.5%
Math Symbol 11
 
< 0.1%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
652
 
5.3%
633
 
5.2%
575
 
4.7%
542
 
4.4%
293
 
2.4%
255
 
2.1%
243
 
2.0%
233
 
1.9%
227
 
1.9%
209
 
1.7%
Other values (637) 8350
68.4%
Lowercase Letter
ValueCountFrequency (%)
a 2450
10.9%
e 2372
10.6%
o 2013
 
9.0%
t 1999
 
8.9%
n 1991
 
8.9%
r 1924
 
8.6%
i 1647
 
7.3%
l 958
 
4.3%
s 956
 
4.3%
c 844
 
3.8%
Other values (17) 5285
23.6%
Uppercase Letter
ValueCountFrequency (%)
P 818
 
12.8%
S 562
 
8.8%
C 439
 
6.8%
T 438
 
6.8%
A 406
 
6.3%
I 364
 
5.7%
E 349
 
5.4%
M 341
 
5.3%
R 319
 
5.0%
N 264
 
4.1%
Other values (17) 2109
32.9%
Decimal Number
ValueCountFrequency (%)
0 231
24.1%
2 218
22.7%
1 170
17.7%
3 91
 
9.5%
6 68
 
7.1%
5 64
 
6.7%
4 63
 
6.6%
8 28
 
2.9%
7 18
 
1.9%
9 8
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 168
49.6%
/ 49
 
14.5%
& 46
 
13.6%
. 38
 
11.2%
: 26
 
7.7%
* 5
 
1.5%
' 3
 
0.9%
2
 
0.6%
· 2
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 310
72.4%
[ 111
 
25.9%
5
 
1.2%
2
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 306
71.8%
] 112
 
26.3%
7
 
1.6%
1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 7
63.6%
2
 
18.2%
+ 1
 
9.1%
× 1
 
9.1%
Space Separator
ValueCountFrequency (%)
7079
> 99.9%
  1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 237
100.0%
Initial Punctuation
ValueCountFrequency (%)
4
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28846
57.1%
Hangul 11949
23.6%
Common 9488
 
18.8%
Han 263
 
0.5%
Cyrillic 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
652
 
5.5%
633
 
5.3%
575
 
4.8%
542
 
4.5%
293
 
2.5%
255
 
2.1%
243
 
2.0%
233
 
1.9%
227
 
1.9%
209
 
1.7%
Other values (498) 8087
67.7%
Han
ValueCountFrequency (%)
16
 
6.1%
13
 
4.9%
11
 
4.2%
9
 
3.4%
9
 
3.4%
8
 
3.0%
7
 
2.7%
7
 
2.7%
西 5
 
1.9%
5
 
1.9%
Other values (129) 173
65.8%
Latin
ValueCountFrequency (%)
a 2450
 
8.5%
e 2372
 
8.2%
o 2013
 
7.0%
t 1999
 
6.9%
n 1991
 
6.9%
r 1924
 
6.7%
i 1647
 
5.7%
l 958
 
3.3%
s 956
 
3.3%
c 844
 
2.9%
Other values (43) 11692
40.5%
Common
ValueCountFrequency (%)
7079
74.6%
( 310
 
3.3%
) 306
 
3.2%
- 237
 
2.5%
0 231
 
2.4%
2 218
 
2.3%
1 170
 
1.8%
, 168
 
1.8%
] 112
 
1.2%
[ 111
 
1.2%
Other values (27) 546
 
5.8%
Cyrillic
ValueCountFrequency (%)
С 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38302
75.8%
Hangul 11949
 
23.6%
CJK 263
 
0.5%
None 23
 
< 0.1%
Punctuation 7
 
< 0.1%
Cyrillic 2
 
< 0.1%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7079
18.5%
a 2450
 
6.4%
e 2372
 
6.2%
o 2013
 
5.3%
t 1999
 
5.2%
n 1991
 
5.2%
r 1924
 
5.0%
i 1647
 
4.3%
l 958
 
2.5%
s 956
 
2.5%
Other values (67) 14913
38.9%
Hangul
ValueCountFrequency (%)
652
 
5.5%
633
 
5.3%
575
 
4.8%
542
 
4.5%
293
 
2.5%
255
 
2.1%
243
 
2.0%
233
 
1.9%
227
 
1.9%
209
 
1.7%
Other values (498) 8087
67.7%
CJK
ValueCountFrequency (%)
16
 
6.1%
13
 
4.9%
11
 
4.2%
9
 
3.4%
9
 
3.4%
8
 
3.0%
7
 
2.7%
7
 
2.7%
西 5
 
1.9%
5
 
1.9%
Other values (129) 173
65.8%
None
ValueCountFrequency (%)
7
30.4%
5
21.7%
2
 
8.7%
2
 
8.7%
· 2
 
8.7%
ł 1
 
4.3%
  1
 
4.3%
× 1
 
4.3%
1
 
4.3%
1
 
4.3%
Punctuation
ValueCountFrequency (%)
4
57.1%
3
42.9%
Cyrillic
ValueCountFrequency (%)
С 2
100.0%
Math Operators
ValueCountFrequency (%)
2
100.0%
Distinct652
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
Minimum2011-01-31 00:00:00
Maximum2017-11-17 00:00:00
2023-12-12T16:00:42.876047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:00:42.998768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct91
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2023-12-12T16:00:43.192705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.3655523
Min length2

Characters and Unicode

Total characters4631
Distinct characters123
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

Unique18 ?
Unique (%)1.3%

Sample

1st row파키스탄
2nd row파키스탄
3rd row파키스탄
4th row파키스탄
5th row파키스탄
ValueCountFrequency (%)
중국 203
 
14.8%
인도 93
 
6.8%
베트남 91
 
6.6%
러시아연방 88
 
6.4%
브라질 50
 
3.6%
카자흐스탄 41
 
3.0%
파키스탄 40
 
2.9%
멕시코 34
 
2.5%
폴란드 34
 
2.5%
아르헨티나 30
 
2.2%
Other values (81) 672
48.8%
2023-12-12T16:00:43.526458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
314
 
6.8%
248
 
5.4%
203
 
4.4%
184
 
4.0%
161
 
3.5%
158
 
3.4%
155
 
3.3%
146
 
3.2%
130
 
2.8%
128
 
2.8%
Other values (113) 2804
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4631
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
314
 
6.8%
248
 
5.4%
203
 
4.4%
184
 
4.0%
161
 
3.5%
158
 
3.4%
155
 
3.3%
146
 
3.2%
130
 
2.8%
128
 
2.8%
Other values (113) 2804
60.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4631
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
314
 
6.8%
248
 
5.4%
203
 
4.4%
184
 
4.0%
161
 
3.5%
158
 
3.4%
155
 
3.3%
146
 
3.2%
130
 
2.8%
128
 
2.8%
Other values (113) 2804
60.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4631
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
314
 
6.8%
248
 
5.4%
203
 
4.4%
184
 
4.0%
161
 
3.5%
158
 
3.4%
155
 
3.3%
146
 
3.2%
130
 
2.8%
128
 
2.8%
Other values (113) 2804
60.5%

중분류명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
프로젝트
1162 
IT사업단
196 
공공조달
 
14
지식서비스사업단
 
3
기후변화사업팀
 
1

Length

Max length8
Median length4
Mean length4.153343
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row프로젝트
2nd row프로젝트
3rd row프로젝트
4th row프로젝트
5th rowIT사업단

Common Values

ValueCountFrequency (%)
프로젝트 1162
84.4%
IT사업단 196
 
14.2%
공공조달 14
 
1.0%
지식서비스사업단 3
 
0.2%
기후변화사업팀 1
 
0.1%

Length

2023-12-12T16:00:43.658565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:43.775877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
프로젝트 1162
84.4%
it사업단 196
 
14.2%
공공조달 14
 
1.0%
지식서비스사업단 3
 
0.2%
기후변화사업팀 1
 
0.1%

소분류명
Text

MISSING 

Distinct60
Distinct (%)11.2%
Missing840
Missing (%)61.0%
Memory size10.9 KiB
2023-12-12T16:00:43.961961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.5802239
Min length2

Characters and Unicode

Total characters4063
Distinct characters111
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

Unique9 ?
Unique (%)1.7%

Sample

1st row발전(수력)
2nd row발전(수력)
3rd row토목(도로)
4th row발전(수력)
5th rowIT
ValueCountFrequency (%)
신재생(태양광 72
 
13.3%
신재생(풍력 43
 
8.0%
환경(하수처리장 37
 
6.9%
발전(화력발전 31
 
5.7%
토목(도로 29
 
5.4%
발전(수력 25
 
4.6%
신재생(바이오매스 20
 
3.7%
산업(석유화학 19
 
3.5%
건축(주택 18
 
3.3%
환경(특수폐기물 17
 
3.1%
Other values (51) 229
42.4%
2023-12-12T16:00:44.275049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 512
 
12.6%
( 512
 
12.6%
161
 
4.0%
157
 
3.9%
157
 
3.9%
151
 
3.7%
141
 
3.5%
135
 
3.3%
117
 
2.9%
116
 
2.9%
Other values (101) 1904
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2987
73.5%
Close Punctuation 512
 
12.6%
Open Punctuation 512
 
12.6%
Uppercase Letter 44
 
1.1%
Other Punctuation 4
 
0.1%
Space Separator 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
161
 
5.4%
157
 
5.3%
157
 
5.3%
151
 
5.1%
141
 
4.7%
135
 
4.5%
117
 
3.9%
116
 
3.9%
106
 
3.5%
77
 
2.6%
Other values (89) 1669
55.9%
Uppercase Letter
ValueCountFrequency (%)
I 8
18.2%
S 8
18.2%
T 8
18.2%
E 6
13.6%
L 6
13.6%
D 4
9.1%
G 2
 
4.5%
N 2
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 512
100.0%
Open Punctuation
ValueCountFrequency (%)
( 512
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2987
73.5%
Common 1032
 
25.4%
Latin 44
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
161
 
5.4%
157
 
5.3%
157
 
5.3%
151
 
5.1%
141
 
4.7%
135
 
4.5%
117
 
3.9%
116
 
3.9%
106
 
3.5%
77
 
2.6%
Other values (89) 1669
55.9%
Latin
ValueCountFrequency (%)
I 8
18.2%
S 8
18.2%
T 8
18.2%
E 6
13.6%
L 6
13.6%
D 4
9.1%
G 2
 
4.5%
N 2
 
4.5%
Common
ValueCountFrequency (%)
) 512
49.6%
( 512
49.6%
, 4
 
0.4%
4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2987
73.5%
ASCII 1076
 
26.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 512
47.6%
( 512
47.6%
I 8
 
0.7%
S 8
 
0.7%
T 8
 
0.7%
E 6
 
0.6%
L 6
 
0.6%
, 4
 
0.4%
D 4
 
0.4%
4
 
0.4%
Other values (2) 4
 
0.4%
Hangul
ValueCountFrequency (%)
161
 
5.4%
157
 
5.3%
157
 
5.3%
151
 
5.1%
141
 
4.7%
135
 
4.5%
117
 
3.9%
116
 
3.9%
106
 
3.5%
77
 
2.6%
Other values (89) 1669
55.9%
Distinct1230
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2023-12-12T16:00:44.577502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length80
Mean length18.702762
Min length1

Characters and Unicode

Total characters25735
Distinct characters614
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1136 ?
Unique (%)82.6%

Sample

1st rowSwat, Khyber Pakhtunkhwa
2nd rowChitral, KPK
3rd rowDG Khan-Peshawar
4th rowGilgit Baltistan
5th rowKarachi, Pakistan
ValueCountFrequency (%)
city 55
 
1.3%
of 52
 
1.2%
province 52
 
1.2%
47
 
1.1%
지역 47
 
1.1%
45
 
1.1%
러시아 38
 
0.9%
district 37
 
0.9%
and 33
 
0.8%
vietnam 30
 
0.7%
Other values (2245) 3816
89.7%
2023-12-12T16:00:45.112955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2894
 
11.2%
a 2131
 
8.3%
n 1257
 
4.9%
i 1218
 
4.7%
o 941
 
3.7%
e 927
 
3.6%
r 871
 
3.4%
t 792
 
3.1%
, 572
 
2.2%
h 537
 
2.1%
Other values (604) 13595
52.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12921
50.2%
Other Letter 5790
22.5%
Space Separator 2894
 
11.2%
Uppercase Letter 2749
 
10.7%
Other Punctuation 647
 
2.5%
Open Punctuation 217
 
0.8%
Close Punctuation 217
 
0.8%
Decimal Number 192
 
0.7%
Dash Punctuation 103
 
0.4%
Final Punctuation 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
328
 
5.7%
160
 
2.8%
143
 
2.5%
139
 
2.4%
139
 
2.4%
129
 
2.2%
111
 
1.9%
106
 
1.8%
105
 
1.8%
103
 
1.8%
Other values (525) 4327
74.7%
Lowercase Letter
ValueCountFrequency (%)
a 2131
16.5%
n 1257
 
9.7%
i 1218
 
9.4%
o 941
 
7.3%
e 927
 
7.2%
r 871
 
6.7%
t 792
 
6.1%
h 537
 
4.2%
u 507
 
3.9%
s 501
 
3.9%
Other values (17) 3239
25.1%
Uppercase Letter
ValueCountFrequency (%)
A 248
 
9.0%
S 220
 
8.0%
P 218
 
7.9%
C 185
 
6.7%
M 176
 
6.4%
B 174
 
6.3%
T 165
 
6.0%
K 161
 
5.9%
N 134
 
4.9%
D 131
 
4.8%
Other values (16) 937
34.1%
Decimal Number
ValueCountFrequency (%)
0 51
26.6%
1 35
18.2%
2 22
11.5%
3 17
 
8.9%
4 16
 
8.3%
5 13
 
6.8%
6 13
 
6.8%
8 13
 
6.8%
7 8
 
4.2%
9 4
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 572
88.4%
. 41
 
6.3%
& 17
 
2.6%
/ 8
 
1.2%
: 7
 
1.1%
# 1
 
0.2%
; 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 211
97.2%
6
 
2.8%
Close Punctuation
ValueCountFrequency (%)
) 210
96.8%
7
 
3.2%
Space Separator
ValueCountFrequency (%)
2894
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15671
60.9%
Hangul 5503
 
21.4%
Common 4274
 
16.6%
Han 287
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
328
 
6.0%
160
 
2.9%
143
 
2.6%
139
 
2.5%
139
 
2.5%
129
 
2.3%
111
 
2.0%
106
 
1.9%
105
 
1.9%
103
 
1.9%
Other values (419) 4040
73.4%
Han
ValueCountFrequency (%)
43
 
15.0%
41
 
14.3%
22
 
7.7%
10
 
3.5%
10
 
3.5%
9
 
3.1%
7
 
2.4%
6
 
2.1%
6
 
2.1%
西 5
 
1.7%
Other values (96) 128
44.6%
Latin
ValueCountFrequency (%)
a 2131
 
13.6%
n 1257
 
8.0%
i 1218
 
7.8%
o 941
 
6.0%
e 927
 
5.9%
r 871
 
5.6%
t 792
 
5.1%
h 537
 
3.4%
u 507
 
3.2%
s 501
 
3.2%
Other values (44) 5989
38.2%
Common
ValueCountFrequency (%)
2894
67.7%
, 572
 
13.4%
( 211
 
4.9%
) 210
 
4.9%
- 103
 
2.4%
0 51
 
1.2%
. 41
 
1.0%
1 35
 
0.8%
2 22
 
0.5%
& 17
 
0.4%
Other values (15) 118
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19925
77.4%
Hangul 5503
 
21.4%
CJK 286
 
1.1%
None 16
 
0.1%
Punctuation 3
 
< 0.1%
Number Forms 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2894
 
14.5%
a 2131
 
10.7%
n 1257
 
6.3%
i 1218
 
6.1%
o 941
 
4.7%
e 927
 
4.7%
r 871
 
4.4%
t 792
 
4.0%
, 572
 
2.9%
h 537
 
2.7%
Other values (64) 7785
39.1%
Hangul
ValueCountFrequency (%)
328
 
6.0%
160
 
2.9%
143
 
2.6%
139
 
2.5%
139
 
2.5%
129
 
2.3%
111
 
2.0%
106
 
1.9%
105
 
1.9%
103
 
1.9%
Other values (419) 4040
73.4%
CJK
ValueCountFrequency (%)
43
 
15.0%
41
 
14.3%
22
 
7.7%
10
 
3.5%
10
 
3.5%
9
 
3.1%
7
 
2.4%
6
 
2.1%
6
 
2.1%
西 5
 
1.7%
Other values (95) 127
44.4%
None
ValueCountFrequency (%)
7
43.8%
6
37.5%
ł 3
18.8%
Punctuation
ValueCountFrequency (%)
3
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

해외발주처명
Text

MISSING 

Distinct960
Distinct (%)83.0%
Missing219
Missing (%)15.9%
Memory size10.9 KiB
2023-12-12T16:00:45.472716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length32
Mean length26.362143
Min length3

Characters and Unicode

Total characters30501
Distinct characters331
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique834 ?
Unique (%)72.1%

Sample

1st rowEnergy & Power Department, Government of KPK
2nd rowWAPDA(Water & Power Development)
3rd rowNational Highway Authority
4th rowWAPDA(Water & Power Development)
5th rowMinistry of Information Technology Govt of Sindh
ValueCountFrequency (%)
of 179
 
4.3%
ministry 89
 
2.1%
83
 
2.0%
ltd 78
 
1.9%
and 66
 
1.6%
de 63
 
1.5%
development 58
 
1.4%
energy 54
 
1.3%
co 51
 
1.2%
power 48
 
1.1%
Other values (1568) 3414
81.6%
2023-12-12T16:00:46.444090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3040
 
10.0%
n 2085
 
6.8%
e 1902
 
6.2%
o 1787
 
5.9%
a 1783
 
5.8%
i 1744
 
5.7%
t 1625
 
5.3%
r 1571
 
5.2%
s 699
 
2.3%
l 683
 
2.2%
Other values (321) 13582
44.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19013
62.3%
Uppercase Letter 6505
 
21.3%
Space Separator 3040
 
10.0%
Other Letter 1033
 
3.4%
Other Punctuation 465
 
1.5%
Open Punctuation 179
 
0.6%
Close Punctuation 173
 
0.6%
Dash Punctuation 46
 
0.2%
Decimal Number 41
 
0.1%
Initial Punctuation 2
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
41
 
4.0%
36
 
3.5%
34
 
3.3%
26
 
2.5%
22
 
2.1%
20
 
1.9%
17
 
1.6%
16
 
1.5%
16
 
1.5%
16
 
1.5%
Other values (244) 789
76.4%
Lowercase Letter
ValueCountFrequency (%)
n 2085
11.0%
e 1902
10.0%
o 1787
 
9.4%
a 1783
 
9.4%
i 1744
 
9.2%
t 1625
 
8.5%
r 1571
 
8.3%
s 699
 
3.7%
l 683
 
3.6%
d 588
 
3.1%
Other values (17) 4546
23.9%
Uppercase Letter
ValueCountFrequency (%)
E 584
 
9.0%
C 583
 
9.0%
A 561
 
8.6%
P 449
 
6.9%
S 429
 
6.6%
T 395
 
6.1%
M 365
 
5.6%
I 365
 
5.6%
N 343
 
5.3%
L 320
 
4.9%
Other values (16) 2111
32.5%
Other Punctuation
ValueCountFrequency (%)
. 252
54.2%
, 118
25.4%
& 77
 
16.6%
: 9
 
1.9%
/ 6
 
1.3%
' 2
 
0.4%
1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 12
29.3%
3 8
19.5%
0 8
19.5%
6 6
14.6%
2 5
12.2%
8 2
 
4.9%
Open Punctuation
ValueCountFrequency (%)
( 177
98.9%
2
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 171
98.8%
2
 
1.2%
Final Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
3040
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 25518
83.7%
Common 3950
 
13.0%
Hangul 901
 
3.0%
Han 132
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
41
 
4.6%
36
 
4.0%
34
 
3.8%
26
 
2.9%
22
 
2.4%
20
 
2.2%
17
 
1.9%
16
 
1.8%
16
 
1.8%
16
 
1.8%
Other values (175) 657
72.9%
Han
ValueCountFrequency (%)
13
 
9.8%
12
 
9.1%
12
 
9.1%
12
 
9.1%
6
 
4.5%
5
 
3.8%
3
 
2.3%
3
 
2.3%
3
 
2.3%
2
 
1.5%
Other values (59) 61
46.2%
Latin
ValueCountFrequency (%)
n 2085
 
8.2%
e 1902
 
7.5%
o 1787
 
7.0%
a 1783
 
7.0%
i 1744
 
6.8%
t 1625
 
6.4%
r 1571
 
6.2%
s 699
 
2.7%
l 683
 
2.7%
d 588
 
2.3%
Other values (43) 11051
43.3%
Common
ValueCountFrequency (%)
3040
77.0%
. 252
 
6.4%
( 177
 
4.5%
) 171
 
4.3%
, 118
 
3.0%
& 77
 
1.9%
- 46
 
1.2%
1 12
 
0.3%
: 9
 
0.2%
3 8
 
0.2%
Other values (14) 40
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29456
96.6%
Hangul 901
 
3.0%
CJK 131
 
0.4%
None 8
 
< 0.1%
Punctuation 4
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3040
 
10.3%
n 2085
 
7.1%
e 1902
 
6.5%
o 1787
 
6.1%
a 1783
 
6.1%
i 1744
 
5.9%
t 1625
 
5.5%
r 1571
 
5.3%
s 699
 
2.4%
l 683
 
2.3%
Other values (60) 12537
42.6%
Hangul
ValueCountFrequency (%)
41
 
4.6%
36
 
4.0%
34
 
3.8%
26
 
2.9%
22
 
2.4%
20
 
2.2%
17
 
1.9%
16
 
1.8%
16
 
1.8%
16
 
1.8%
Other values (175) 657
72.9%
CJK
ValueCountFrequency (%)
13
 
9.9%
12
 
9.2%
12
 
9.2%
12
 
9.2%
6
 
4.6%
5
 
3.8%
3
 
2.3%
3
 
2.3%
3
 
2.3%
2
 
1.5%
Other values (58) 60
45.8%
None
ValueCountFrequency (%)
ł 3
37.5%
2
25.0%
2
25.0%
1
 
12.5%
Punctuation
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
계획
669 
세부계획
317 
F/S
149 
입찰
126 
PQ
101 

Length

Max length6
Median length2
Mean length2.6097384
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
계획 669
48.6%
세부계획 317
23.0%
F/S 149
 
10.8%
입찰 126
 
9.2%
PQ 101
 
7.3%
계약(착공) 14
 
1.0%

Length

2023-12-12T16:00:46.620891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:46.771862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계획 669
48.6%
세부계획 317
23.0%
f/s 149
 
10.8%
입찰 126
 
9.2%
pq 101
 
7.3%
계약(착공 14
 
1.0%

발주방식
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
국제입찰
988 
수의계약
206 
기타
182 

Length

Max length4
Median length4
Mean length3.7354651
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국제입찰 988
71.8%
수의계약 206
 
15.0%
기타 182
 
13.2%

Length

2023-12-12T16:00:46.923522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:47.052285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국제입찰 988
71.8%
수의계약 206
 
15.0%
기타 182
 
13.2%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
최저가격
624 
기타
531 
기술심사
221 

Length

Max length4
Median length4
Mean length3.2281977
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row최저가격
2nd row최저가격
3rd row최저가격
4th row최저가격
5th row기술심사

Common Values

ValueCountFrequency (%)
최저가격 624
45.3%
기타 531
38.6%
기술심사 221
 
16.1%

Length

2023-12-12T16:00:47.173884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:47.304581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
최저가격 624
45.3%
기타 531
38.6%
기술심사 221
 
16.1%

입찰예정일자
Date

MISSING 

Distinct544
Distinct (%)40.3%
Missing27
Missing (%)2.0%
Memory size10.9 KiB
Minimum2009-01-01 00:00:00
Maximum2018-10-26 00:00:00
2023-12-12T16:00:47.462914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:00:47.595088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct736
Distinct (%)53.6%
Missing4
Missing (%)0.3%
Memory size10.9 KiB
2023-12-12T16:00:47.972252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length132
Median length100
Mean length13.555394
Min length2

Characters and Unicode

Total characters18598
Distinct characters370
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique645 ?
Unique (%)47.0%

Sample

1st rowWorld Bank(잠정)
2nd rowAFD(France)
3rd rowGovernment of Pakistan(10%), Asian Development Bank(Expected)
4th row파키스탄 정부(30%), 나머지는 미정
5th rowGovernment of Sindh
ValueCountFrequency (%)
발주자펀딩 204
 
5.6%
펀딩 154
 
4.2%
발주자 140
 
3.8%
89
 
2.4%
80
 
2.2%
발주처 79
 
2.2%
adb 74
 
2.0%
투자유치 71
 
2.0%
합작투자 55
 
1.5%
자체 52
 
1.4%
Other values (1068) 2641
72.6%
2023-12-12T16:00:48.538243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2270
 
12.2%
960
 
5.2%
n 681
 
3.7%
569
 
3.1%
562
 
3.0%
a 488
 
2.6%
485
 
2.6%
463
 
2.5%
e 427
 
2.3%
t 401
 
2.2%
Other values (360) 11292
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7694
41.4%
Lowercase Letter 4743
25.5%
Space Separator 2271
 
12.2%
Uppercase Letter 2107
 
11.3%
Other Punctuation 547
 
2.9%
Decimal Number 518
 
2.8%
Open Punctuation 276
 
1.5%
Close Punctuation 274
 
1.5%
Math Symbol 107
 
0.6%
Dash Punctuation 36
 
0.2%
Other values (4) 25
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
960
 
12.5%
569
 
7.4%
562
 
7.3%
485
 
6.3%
463
 
6.0%
300
 
3.9%
210
 
2.7%
198
 
2.6%
192
 
2.5%
178
 
2.3%
Other values (280) 3577
46.5%
Lowercase Letter
ValueCountFrequency (%)
n 681
14.4%
a 488
10.3%
e 427
 
9.0%
t 401
 
8.5%
i 371
 
7.8%
r 331
 
7.0%
o 330
 
7.0%
d 204
 
4.3%
l 191
 
4.0%
u 164
 
3.5%
Other values (16) 1155
24.4%
Uppercase Letter
ValueCountFrequency (%)
P 295
14.0%
B 270
12.8%
D 224
10.6%
A 220
10.4%
E 141
 
6.7%
I 127
 
6.0%
F 120
 
5.7%
O 117
 
5.6%
C 99
 
4.7%
U 89
 
4.2%
Other values (14) 405
19.2%
Decimal Number
ValueCountFrequency (%)
0 183
35.3%
5 67
 
12.9%
1 57
 
11.0%
2 49
 
9.5%
8 47
 
9.1%
3 39
 
7.5%
7 32
 
6.2%
4 20
 
3.9%
6 16
 
3.1%
9 8
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 221
40.4%
% 157
28.7%
/ 100
18.3%
. 26
 
4.8%
: 23
 
4.2%
& 10
 
1.8%
; 8
 
1.5%
2
 
0.4%
Space Separator
ValueCountFrequency (%)
2270
> 99.9%
  1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 105
98.1%
~ 2
 
1.9%
Final Punctuation
ValueCountFrequency (%)
5
83.3%
1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 276
100.0%
Close Punctuation
ValueCountFrequency (%)
) 274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 17
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7694
41.4%
Latin 6850
36.8%
Common 4054
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
960
 
12.5%
569
 
7.4%
562
 
7.3%
485
 
6.3%
463
 
6.0%
300
 
3.9%
210
 
2.7%
198
 
2.6%
192
 
2.5%
178
 
2.3%
Other values (280) 3577
46.5%
Latin
ValueCountFrequency (%)
n 681
 
9.9%
a 488
 
7.1%
e 427
 
6.2%
t 401
 
5.9%
i 371
 
5.4%
r 331
 
4.8%
o 330
 
4.8%
P 295
 
4.3%
B 270
 
3.9%
D 224
 
3.3%
Other values (40) 3032
44.3%
Common
ValueCountFrequency (%)
2270
56.0%
( 276
 
6.8%
) 274
 
6.8%
, 221
 
5.5%
0 183
 
4.5%
% 157
 
3.9%
+ 105
 
2.6%
/ 100
 
2.5%
5 67
 
1.7%
1 57
 
1.4%
Other values (20) 344
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10894
58.6%
Hangul 7694
41.4%
Punctuation 7
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2270
20.8%
n 681
 
6.3%
a 488
 
4.5%
e 427
 
3.9%
t 401
 
3.7%
i 371
 
3.4%
r 331
 
3.0%
o 330
 
3.0%
P 295
 
2.7%
( 276
 
2.5%
Other values (65) 5024
46.1%
Hangul
ValueCountFrequency (%)
960
 
12.5%
569
 
7.4%
562
 
7.3%
485
 
6.3%
463
 
6.0%
300
 
3.9%
210
 
2.7%
198
 
2.6%
192
 
2.5%
178
 
2.3%
Other values (280) 3577
46.5%
Punctuation
ValueCountFrequency (%)
5
71.4%
1
 
14.3%
1
 
14.3%
None
ValueCountFrequency (%)
2
66.7%
  1
33.3%
Distinct490
Distinct (%)36.3%
Missing25
Missing (%)1.8%
Memory size10.9 KiB
2023-12-12T16:00:48.935000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length11
Mean length2.8956329
Min length1

Characters and Unicode

Total characters3912
Distinct characters30
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

Unique323 ?
Unique (%)23.9%

Sample

1st row413
2nd row21.89
3rd row287.08
4th row1527
5th row14
ValueCountFrequency (%)
10 92
 
6.8%
100 52
 
3.8%
50 32
 
2.4%
200 29
 
2.1%
30 26
 
1.9%
20 24
 
1.8%
500 23
 
1.7%
300 19
 
1.4%
150 19
 
1.4%
12 19
 
1.4%
Other values (482) 1019
75.3%
2023-12-12T16:00:49.489332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1165
29.8%
1 633
16.2%
5 359
 
9.2%
2 357
 
9.1%
3 295
 
7.5%
4 217
 
5.5%
. 192
 
4.9%
6 177
 
4.5%
8 174
 
4.4%
7 160
 
4.1%
Other values (20) 183
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3639
93.0%
Other Punctuation 232
 
5.9%
Other Letter 18
 
0.5%
Close Punctuation 7
 
0.2%
Open Punctuation 7
 
0.2%
Math Symbol 4
 
0.1%
Space Separator 3
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
22.2%
3
16.7%
2
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (2) 2
11.1%
Decimal Number
ValueCountFrequency (%)
0 1165
32.0%
1 633
17.4%
5 359
 
9.9%
2 357
 
9.8%
3 295
 
8.1%
4 217
 
6.0%
6 177
 
4.9%
8 174
 
4.8%
7 160
 
4.4%
9 102
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 192
82.8%
, 39
 
16.8%
/ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3894
99.5%
Hangul 18
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1165
29.9%
1 633
16.3%
5 359
 
9.2%
2 357
 
9.2%
3 295
 
7.6%
4 217
 
5.6%
. 192
 
4.9%
6 177
 
4.5%
8 174
 
4.5%
7 160
 
4.1%
Other values (8) 165
 
4.2%
Hangul
ValueCountFrequency (%)
4
22.2%
3
16.7%
2
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (2) 2
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3894
99.5%
Hangul 18
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1165
29.9%
1 633
16.3%
5 359
 
9.2%
2 357
 
9.2%
3 295
 
7.6%
4 217
 
5.6%
. 192
 
4.9%
6 177
 
4.5%
8 174
 
4.5%
7 160
 
4.1%
Other values (8) 165
 
4.2%
Hangul
ValueCountFrequency (%)
4
22.2%
3
16.7%
2
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (2) 2
11.1%
Distinct372
Distinct (%)27.2%
Missing7
Missing (%)0.5%
Memory size10.9 KiB
Minimum2009-01-01 00:00:00
Maximum2020-03-10 00:00:00
2023-12-12T16:00:49.716254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:00:49.873499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct472
Distinct (%)34.5%
Missing9
Missing (%)0.7%
Memory size10.9 KiB
Minimum2011-07-22 00:00:00
Maximum2049-12-31 00:00:00
2023-12-12T16:00:50.057168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:00:50.226090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct95
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2023-12-12T16:00:50.493067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.537064
Min length5

Characters and Unicode

Total characters8995
Distinct characters136
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

Unique3 ?
Unique (%)0.2%

Sample

1st row카라치무역관
2nd row카라치무역관
3rd row카라치무역관
4th row카라치무역관
5th row카라치무역관
ValueCountFrequency (%)
마닐라무역관 57
 
4.1%
하노이무역관 48
 
3.5%
상파울루무역관 46
 
3.3%
모스크바무역관 45
 
3.3%
알마티무역관 41
 
3.0%
베이징무역관 40
 
2.9%
뉴델리무역관 38
 
2.8%
호치민무역관 38
 
2.8%
카라치무역관 38
 
2.8%
바르샤바무역관 34
 
2.5%
Other values (85) 951
69.1%
2023-12-12T16:00:50.908858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1390
 
15.5%
1376
 
15.3%
1376
 
15.3%
261
 
2.9%
254
 
2.8%
179
 
2.0%
170
 
1.9%
155
 
1.7%
134
 
1.5%
121
 
1.3%
Other values (126) 3579
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8995
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1390
 
15.5%
1376
 
15.3%
1376
 
15.3%
261
 
2.9%
254
 
2.8%
179
 
2.0%
170
 
1.9%
155
 
1.7%
134
 
1.5%
121
 
1.3%
Other values (126) 3579
39.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8995
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1390
 
15.5%
1376
 
15.3%
1376
 
15.3%
261
 
2.9%
254
 
2.8%
179
 
2.0%
170
 
1.9%
155
 
1.7%
134
 
1.5%
121
 
1.3%
Other values (126) 3579
39.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8995
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1390
 
15.5%
1376
 
15.3%
1376
 
15.3%
261
 
2.9%
254
 
2.8%
179
 
2.0%
170
 
1.9%
155
 
1.7%
134
 
1.5%
121
 
1.3%
Other values (126) 3579
39.8%

문의사항링크
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
news.kotra.or.kr/kotranews/subIndex/101.do
1376 

Length

Max length42
Median length42
Mean length42
Min length42

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownews.kotra.or.kr/kotranews/subIndex/101.do
2nd rownews.kotra.or.kr/kotranews/subIndex/101.do
3rd rownews.kotra.or.kr/kotranews/subIndex/101.do
4th rownews.kotra.or.kr/kotranews/subIndex/101.do
5th rownews.kotra.or.kr/kotranews/subIndex/101.do

Common Values

ValueCountFrequency (%)
news.kotra.or.kr/kotranews/subIndex/101.do 1376
100.0%

Length

2023-12-12T16:00:51.075707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:51.196948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
news.kotra.or.kr/kotranews/subindex/101.do 1376
100.0%

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1376
Missing (%)100.0%
Memory size12.2 KiB

프로젝트소스
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
발주처 면담
1228 
기타
 
103
일간지 및 기타 매체정보
 
40
국내업체 발굴
 
5

Length

Max length13
Median length6
Mean length5.9077035
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 1228
89.2%
기타 103
 
7.5%
일간지 및 기타 매체정보 40
 
2.9%
국내업체 발굴 5
 
0.4%

Length

2023-12-12T16:00:51.285899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:51.381040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발주처 1228
45.0%
면담 1228
45.0%
기타 143
 
5.2%
일간지 40
 
1.5%
40
 
1.5%
매체정보 40
 
1.5%
국내업체 5
 
0.2%
발굴 5
 
0.2%
Distinct1351
Distinct (%)98.5%
Missing5
Missing (%)0.4%
Memory size10.9 KiB
2023-12-12T16:00:51.646236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length644
Mean length448.16338
Min length1

Characters and Unicode

Total characters614432
Distinct characters1466
Distinct categories20 ?
Distinct scripts4 ?
Distinct blocks17 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1334 ?
Unique (%)97.3%

Sample

1st rowOverview of Project: The project is located on Swat river. The project will have an installed capacity of 105 MW with 214.8m Gross head. Project Include construction of power plant with installation of 2 Francis turbines.Name of Owner: Energy & Power Department, Government of KPKPerson in charge: Mr. Muhammad NaeemStage of Project: Feasibility StageLocation: Swat, KPKTime table: Project will Start on Feb 2019 and will be completed on Feb 2022Estimated bidding date: October 2018 Funding agency: World Bank(Expected)Method of bidding: International Scale of Project (Cost) (Amount of money) : US$ 413 MillionEstimated construction period (Duration): 3 years
2nd rowOverview of Project: The existing 1.0 MW Chitral Hydel Power Station is located on the right bank of Lutkho River, 5 Km upstream of Chitral City. The Project was commissioned in 1975 by diverting the flows of Lutkho River through 3.72 Km long channel and installing 2 units of 200 KW and 2 units of 300 KW each. The power generated from Chitral Hydel Power Station is supplied to Chitral City through 11 KV Transmission Line. The power demand in Chitral area has now been increased and there is a dire need to upgrade the capacity of existing Hydel Power Station at Chitral. In the initial construction phase of Project, limited flows of Lutkho River were diverted to Power Channel for generation of 1 MW only. However the river has abundant flows which can be utilized for Power Generation by constructing a small diversion weir, remodeling of power channel & fore bay and installation of new penstocks and additional units. It is estimated that the Power can be enhanced up to 5 MW.Name of Owner: Water & power Development
3rd rowOverview of Project: Govt of Pakistan had approved the proposal for dualization and improvement of Indus Highway (N-55) from Sarai Gambila to Kohat (128 km) and construction of a 4-lane access controlled motorway(49 km) between Yarik and Sagu. It included construction of 26 bridges with one major bridge on Kurrum River. Indus Highway(N-55) is 1,264 km long that runs along the Indus River connecting port city Karachi with Kohat & Peshawar via D. G. Khan & D.I.Khan. The highway being the second largest road connection (after G.T Road) provides an alternate North-South link while traversing 491 km in Sindh, 360 km in Punjab & 396 km in KPK, and connecting Rajanpur, D.G.Khan, D.I.Khan, Bannu, Kohat & Peshawar.Name of Owner: National Highway Authority(NHA)Person in charge: Mr. Imtiaz Ahmed KhokharStage of Project: Designed StageLocation: DG Khan-PeshawarTime table: Designed Consultancy will complete on Jan 2018. Construction will Start from Sept 2018 and will Complete till Sept 2021Estimated bidding date: June
4th rowOverview of Project: The project will have an installed capacity of 640 MW Project Include construction of Dam(height: 1700ft) and power plant for the multipurpose.Type of the Dam will be RCC Gravity Dam. Name of Owner: Water and Power Development Authority(WAPDA)Person in charge: Mr. Hafiz Muhammad Mukhtar Stage of Project: Feasibility Study Location: Shyok Dam site is located on Shyok River about 3 km upstream of Khapalu Town which is under the administration of Baltistan Division of Gilgit BaltistanTime table: Feasibility Study will complete in Dec 2017, Construction will start on Sept 2018 and will be completed on March 2020Estimated bidding date: June 2018Funding agency: 30% Government of Pakistan, remaining 70% is not yet finalizeMethod of bidding: International Bidding Scale of Project (Cost) (Amount of money) : $1527.1 MillionEstimated construction period (Duration): 18 Months
5th rowOverview of Project: The main objective of this project is to establish a cloud based system for the province with the key segments like Cloud based Data Center having all government data in one data center, One GIS application for the entire province and sensor based data collection. The system will also be equipped with a Data Bank Application for taxation through one database where records of Urban and Rural Property, Registration of Deeds, collection of Stamp Duties through online banking, tax Lottery Scheme will be managed. The system will also have Financial Inclusion Program for the province by introducing payment system through smart cards. The system will focus on Public Service Delivery and ensure easy, fast and convenient interaction of public with government by establishing Facilitation Centers and introducing smart systems for Driving License, Motor Vehicle Booklet, Challan System, Land Titles and Tax Collection.Name of Owner: Information, Science & Technology Department, Government of Sindh.Pe
ValueCountFrequency (%)
4185
 
3.7%
of 1721
 
1.5%
the 1539
 
1.4%
프로젝트 1272
 
1.1%
and 1158
 
1.0%
1076
 
1.0%
824
 
0.7%
to 617
 
0.5%
for 501
 
0.4%
in 486
 
0.4%
Other values (34387) 99695
88.2%
2023-12-12T16:00:52.122030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122046
 
19.9%
e 21237
 
3.5%
a 17964
 
2.9%
t 17090
 
2.8%
n 16770
 
2.7%
o 16274
 
2.6%
i 16046
 
2.6%
r 13713
 
2.2%
s 10576
 
1.7%
l 8693
 
1.4%
Other values (1456) 354023
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202723
33.0%
Lowercase Letter 196091
31.9%
Space Separator 122058
19.9%
Uppercase Letter 30941
 
5.0%
Decimal Number 27837
 
4.5%
Other Punctuation 21301
 
3.5%
Dash Punctuation 4577
 
0.7%
Close Punctuation 3632
 
0.6%
Open Punctuation 3480
 
0.6%
Math Symbol 823
 
0.1%
Other values (10) 969
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5817
 
2.9%
3551
 
1.8%
3546
 
1.7%
3138
 
1.5%
3099
 
1.5%
3046
 
1.5%
3028
 
1.5%
2996
 
1.5%
2988
 
1.5%
2759
 
1.4%
Other values (1294) 168755
83.2%
Uppercase Letter
ValueCountFrequency (%)
P 2858
 
9.2%
S 2638
 
8.5%
C 2402
 
7.8%
T 2170
 
7.0%
M 2043
 
6.6%
A 2017
 
6.5%
E 1783
 
5.8%
I 1734
 
5.6%
D 1610
 
5.2%
R 1278
 
4.1%
Other values (20) 10408
33.6%
Lowercase Letter
ValueCountFrequency (%)
e 21237
10.8%
a 17964
 
9.2%
t 17090
 
8.7%
n 16770
 
8.6%
o 16274
 
8.3%
i 16046
 
8.2%
r 13713
 
7.0%
s 10576
 
5.4%
l 8693
 
4.4%
c 7527
 
3.8%
Other values (18) 50201
25.6%
Other Punctuation
ValueCountFrequency (%)
, 6696
31.4%
. 5708
26.8%
: 3907
18.3%
' 2041
 
9.6%
/ 1075
 
5.0%
* 657
 
3.1%
% 536
 
2.5%
; 244
 
1.1%
& 206
 
1.0%
· 102
 
0.5%
Other values (13) 129
 
0.6%
Math Symbol
ValueCountFrequency (%)
= 266
32.3%
~ 243
29.5%
+ 192
23.3%
> 35
 
4.3%
< 26
 
3.2%
15
 
1.8%
12
 
1.5%
× 11
 
1.3%
9
 
1.1%
5
 
0.6%
Other values (6) 9
 
1.1%
Other Symbol
ValueCountFrequency (%)
223
65.8%
44
 
13.0%
17
 
5.0%
12
 
3.5%
8
 
2.4%
° 7
 
2.1%
7
 
2.1%
7
 
2.1%
6
 
1.8%
3
 
0.9%
Other values (3) 5
 
1.5%
Decimal Number
ValueCountFrequency (%)
0 7152
25.7%
1 5186
18.6%
2 4852
17.4%
3 2525
 
9.1%
5 2223
 
8.0%
4 1746
 
6.3%
6 1313
 
4.7%
8 1082
 
3.9%
7 992
 
3.6%
9 766
 
2.8%
Other Number
ValueCountFrequency (%)
³ 19
22.1%
² 18
20.9%
15
17.4%
14
16.3%
9
10.5%
6
 
7.0%
2
 
2.3%
½ 1
 
1.2%
1
 
1.2%
1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 3571
98.3%
32
 
0.9%
] 22
 
0.6%
3
 
0.1%
2
 
0.1%
1
 
< 0.1%
1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3422
98.3%
29
 
0.8%
[ 22
 
0.6%
3
 
0.1%
2
 
0.1%
1
 
< 0.1%
1
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
` 4
50.0%
˚ 2
25.0%
^ 2
25.0%
Letter Number
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Space Separator
ValueCountFrequency (%)
122046
> 99.9%
  12
 
< 0.1%
Currency Symbol
ValueCountFrequency (%)
$ 200
99.0%
2
 
1.0%
Initial Punctuation
ValueCountFrequency (%)
77
55.8%
61
44.2%
Final Punctuation
ValueCountFrequency (%)
73
50.0%
73
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 4577
100.0%
Control
ValueCountFrequency (%)
24
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%
Format
ValueCountFrequency (%)
­ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 227037
37.0%
Hangul 201554
32.8%
Common 184674
30.1%
Han 1167
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5817
 
2.9%
3551
 
1.8%
3546
 
1.8%
3138
 
1.6%
3099
 
1.5%
3046
 
1.5%
3028
 
1.5%
2996
 
1.5%
2988
 
1.5%
2759
 
1.4%
Other values (924) 167586
83.1%
Han
ValueCountFrequency (%)
62
 
5.3%
39
 
3.3%
33
 
2.8%
28
 
2.4%
27
 
2.3%
27
 
2.3%
26
 
2.2%
21
 
1.8%
18
 
1.5%
16
 
1.4%
Other values (359) 870
74.6%
Common
ValueCountFrequency (%)
122046
66.1%
0 7152
 
3.9%
, 6696
 
3.6%
. 5708
 
3.1%
1 5186
 
2.8%
2 4852
 
2.6%
- 4577
 
2.5%
: 3907
 
2.1%
) 3571
 
1.9%
( 3422
 
1.9%
Other values (92) 17557
 
9.5%
Latin
ValueCountFrequency (%)
e 21237
 
9.4%
a 17964
 
7.9%
t 17090
 
7.5%
n 16770
 
7.4%
o 16274
 
7.2%
i 16046
 
7.1%
r 13713
 
6.0%
s 10576
 
4.7%
l 8693
 
3.8%
c 7527
 
3.3%
Other values (51) 81147
35.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 410621
66.8%
Hangul 199868
32.5%
Compat Jamo 1686
 
0.3%
CJK 1162
 
0.2%
None 372
 
0.1%
Punctuation 297
 
< 0.1%
Geometric Shapes 295
 
< 0.1%
Enclosed Alphanum 48
 
< 0.1%
CJK Compat 30
 
< 0.1%
Math Operators 16
 
< 0.1%
Other values (7) 37
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122046
29.7%
e 21237
 
5.2%
a 17964
 
4.4%
t 17090
 
4.2%
n 16770
 
4.1%
o 16274
 
4.0%
i 16046
 
3.9%
r 13713
 
3.3%
s 10576
 
2.6%
l 8693
 
2.1%
Other values (80) 150212
36.6%
Hangul
ValueCountFrequency (%)
5817
 
2.9%
3551
 
1.8%
3546
 
1.8%
3138
 
1.6%
3099
 
1.6%
3046
 
1.5%
3028
 
1.5%
2996
 
1.5%
2988
 
1.5%
2759
 
1.4%
Other values (919) 165900
83.0%
Compat Jamo
ValueCountFrequency (%)
1652
98.0%
31
 
1.8%
1
 
0.1%
1
 
0.1%
1
 
0.1%
Geometric Shapes
ValueCountFrequency (%)
223
75.6%
44
 
14.9%
17
 
5.8%
6
 
2.0%
3
 
1.0%
2
 
0.7%
None
ValueCountFrequency (%)
· 102
27.4%
32
 
8.6%
29
 
7.8%
Ø 28
 
7.5%
25
 
6.7%
23
 
6.2%
³ 19
 
5.1%
² 18
 
4.8%
15
 
4.0%
  12
 
3.2%
Other values (26) 69
18.5%
Punctuation
ValueCountFrequency (%)
77
25.9%
73
24.6%
73
24.6%
61
20.5%
11
 
3.7%
2
 
0.7%
CJK
ValueCountFrequency (%)
62
 
5.3%
39
 
3.4%
33
 
2.8%
28
 
2.4%
27
 
2.3%
27
 
2.3%
26
 
2.2%
21
 
1.8%
18
 
1.5%
16
 
1.4%
Other values (355) 865
74.4%
Enclosed Alphanum
ValueCountFrequency (%)
15
31.2%
14
29.2%
9
18.8%
6
 
12.5%
2
 
4.2%
1
 
2.1%
1
 
2.1%
Arrows
ValueCountFrequency (%)
12
92.3%
1
 
7.7%
CJK Compat
ValueCountFrequency (%)
12
40.0%
8
26.7%
7
23.3%
3
 
10.0%
Math Operators
ValueCountFrequency (%)
9
56.2%
5
31.2%
2
 
12.5%
Letterlike Symbols
ValueCountFrequency (%)
7
77.8%
1
 
11.1%
1
 
11.1%
Currency Symbols
ValueCountFrequency (%)
2
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 2
100.0%
Number Forms
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
Misc Symbols
ValueCountFrequency (%)
2
100.0%

무역관의견
Text

MISSING 

Distinct1256
Distinct (%)95.5%
Missing61
Missing (%)4.4%
Memory size10.9 KiB
2023-12-12T16:00:52.516213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length411
Mean length204.4
Min length1

Characters and Unicode

Total characters268786
Distinct characters1021
Distinct categories17 ?
Distinct scripts5 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1211 ?
Unique (%)92.1%

Sample

1st row발주처 KPK주정부는 관심있는 한국 업체들의 적극적인입찰 참가를 희망하고 있음.또한 주정부 담당자는 Global Green Hub Korea 2017 행사에 방한하여타 프로젝트건으로 국내업체들과 면담을 가진 바 있음.
2nd row발주처(WAPDA) 담당자는 과거 한국기업의 파키스탄 내 수행 실적에긍정적인 평가를 내리고 있어 동 프로젝트에도 한국기업의 참여를 희망함.기존 수력발전소(Hydel Power Station)를 업그레이드하는 프로젝트로관심 한국기업들의 참가가 유망할 것으로 보임.
3rd row발주처(National Highway Authority) 담당자는 삼부토건 등 기존에 파키스탄에서 다수의 공사를 진행한 한국기업의 실적에 긍정적인 평가를 내리고 있어 동 프로젝트에도 한국기업의 참여가 유망할 것으로 전망됨.
4th row발주처(WAPDA)는 과거 한국기업의 수행 실적에긍정적인 평가를 내리고 있어 동 프로젝트에도 한국기업의 참여를 희망함.이를 위해 발주처는 MDB/GDF 프로젝트 플라자 2017 행사에 참가하여동 프로젝트에 대해 발표하고 국내기업과 면담 예정임(Patan Hydropower Project와 함께 동 프로젝트를 소개할 예정)
5th row신드주정부 IT부처 입찰건으로 클라우드 시스템 구축을 목적으로 함.동 발주처는 한국기업의 입찰 참가를 환영하는 입장이며이를 위해 담당자는 GMV 2017 행사에 참가하여 국내기업과 면담 예정임.
ValueCountFrequency (%)
프로젝트 697
 
1.3%
540
 
1.0%
the 532
 
1.0%
531
 
1.0%
414
 
0.7%
409
 
0.7%
있는 354
 
0.6%
것으로 347
 
0.6%
있음 329
 
0.6%
of 329
 
0.6%
Other values (17381) 51090
91.9%
2023-12-12T16:00:53.061141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56045
 
20.9%
e 6086
 
2.3%
o 4485
 
1.7%
t 4434
 
1.6%
n 4410
 
1.6%
i 4317
 
1.6%
a 4226
 
1.6%
4120
 
1.5%
r 3729
 
1.4%
3102
 
1.2%
Other values (1011) 173832
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135632
50.5%
Space Separator 56047
20.9%
Lowercase Letter 51763
 
19.3%
Uppercase Letter 9674
 
3.6%
Other Punctuation 7985
 
3.0%
Decimal Number 4683
 
1.7%
Dash Punctuation 925
 
0.3%
Close Punctuation 878
 
0.3%
Open Punctuation 872
 
0.3%
Math Symbol 125
 
< 0.1%
Other values (7) 202
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4120
 
3.0%
3102
 
2.3%
2912
 
2.1%
2627
 
1.9%
2525
 
1.9%
2450
 
1.8%
2397
 
1.8%
2298
 
1.7%
2194
 
1.6%
2107
 
1.6%
Other values (900) 108900
80.3%
Lowercase Letter
ValueCountFrequency (%)
e 6086
11.8%
o 4485
 
8.7%
t 4434
 
8.6%
n 4410
 
8.5%
i 4317
 
8.3%
a 4226
 
8.2%
r 3729
 
7.2%
s 2756
 
5.3%
l 2165
 
4.2%
c 2149
 
4.2%
Other values (19) 13006
25.1%
Uppercase Letter
ValueCountFrequency (%)
P 1016
 
10.5%
C 782
 
8.1%
T 694
 
7.2%
A 665
 
6.9%
E 637
 
6.6%
S 623
 
6.4%
M 551
 
5.7%
I 523
 
5.4%
G 460
 
4.8%
D 459
 
4.7%
Other values (16) 3264
33.7%
Other Punctuation
ValueCountFrequency (%)
, 2907
36.4%
. 2465
30.9%
' 1807
22.6%
: 191
 
2.4%
* 186
 
2.3%
/ 171
 
2.1%
% 119
 
1.5%
& 66
 
0.8%
; 25
 
0.3%
13
 
0.2%
Other values (7) 35
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 1046
22.3%
1 1042
22.3%
2 1002
21.4%
3 444
9.5%
5 324
 
6.9%
4 294
 
6.3%
6 163
 
3.5%
9 126
 
2.7%
8 122
 
2.6%
7 120
 
2.6%
Math Symbol
ValueCountFrequency (%)
> 34
27.2%
< 30
24.0%
~ 26
20.8%
+ 21
16.8%
= 13
 
10.4%
1
 
0.8%
Other Symbol
ValueCountFrequency (%)
51
77.3%
10
 
15.2%
3
 
4.5%
2
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 872
99.3%
4
 
0.5%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 868
99.5%
2
 
0.2%
[ 2
 
0.2%
Other Number
ValueCountFrequency (%)
4
36.4%
4
36.4%
3
27.3%
Space Separator
ValueCountFrequency (%)
56045
> 99.9%
  2
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
36
60.0%
24
40.0%
Initial Punctuation
ValueCountFrequency (%)
25
51.0%
24
49.0%
Dash Punctuation
ValueCountFrequency (%)
- 925
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135472
50.4%
Common 71717
26.7%
Latin 61435
22.9%
Han 160
 
0.1%
Cyrillic 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4120
 
3.0%
3102
 
2.3%
2912
 
2.1%
2627
 
1.9%
2525
 
1.9%
2450
 
1.8%
2397
 
1.8%
2298
 
1.7%
2194
 
1.6%
2107
 
1.6%
Other values (817) 108740
80.3%
Han
ValueCountFrequency (%)
19
 
11.9%
8
 
5.0%
7
 
4.4%
5
 
3.1%
5
 
3.1%
4
 
2.5%
4
 
2.5%
4
 
2.5%
4
 
2.5%
3
 
1.9%
Other values (73) 97
60.6%
Common
ValueCountFrequency (%)
56045
78.1%
, 2907
 
4.1%
. 2465
 
3.4%
' 1807
 
2.5%
0 1046
 
1.5%
1 1042
 
1.5%
2 1002
 
1.4%
- 925
 
1.3%
) 872
 
1.2%
( 868
 
1.2%
Other values (46) 2738
 
3.8%
Latin
ValueCountFrequency (%)
e 6086
 
9.9%
o 4485
 
7.3%
t 4434
 
7.2%
n 4410
 
7.2%
i 4317
 
7.0%
a 4226
 
6.9%
r 3729
 
6.1%
s 2756
 
4.5%
l 2165
 
3.5%
c 2149
 
3.5%
Other values (44) 22678
36.9%
Cyrillic
ValueCountFrequency (%)
к 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134712
50.1%
ASCII 132921
49.5%
Compat Jamo 760
 
0.3%
CJK 160
 
0.1%
Punctuation 111
 
< 0.1%
Geometric Shapes 64
 
< 0.1%
None 40
 
< 0.1%
Enclosed Alphanum 11
 
< 0.1%
Cyrillic 2
 
< 0.1%
CJK Compat 2
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56045
42.2%
e 6086
 
4.6%
o 4485
 
3.4%
t 4434
 
3.3%
n 4410
 
3.3%
i 4317
 
3.2%
a 4226
 
3.2%
r 3729
 
2.8%
, 2907
 
2.2%
s 2756
 
2.1%
Other values (76) 39526
29.7%
Hangul
ValueCountFrequency (%)
4120
 
3.1%
3102
 
2.3%
2912
 
2.2%
2627
 
2.0%
2525
 
1.9%
2450
 
1.8%
2397
 
1.8%
2298
 
1.7%
2194
 
1.6%
2107
 
1.6%
Other values (814) 107980
80.2%
Compat Jamo
ValueCountFrequency (%)
756
99.5%
3
 
0.4%
1
 
0.1%
Geometric Shapes
ValueCountFrequency (%)
51
79.7%
10
 
15.6%
3
 
4.7%
Punctuation
ValueCountFrequency (%)
36
32.4%
25
22.5%
24
21.6%
24
21.6%
2
 
1.8%
CJK
ValueCountFrequency (%)
19
 
11.9%
8
 
5.0%
7
 
4.4%
5
 
3.1%
5
 
3.1%
4
 
2.5%
4
 
2.5%
4
 
2.5%
4
 
2.5%
3
 
1.9%
Other values (73) 97
60.6%
None
ValueCountFrequency (%)
13
32.5%
· 13
32.5%
4
 
10.0%
3
 
7.5%
2
 
5.0%
  2
 
5.0%
1
 
2.5%
ı 1
 
2.5%
1
 
2.5%
Enclosed Alphanum
ValueCountFrequency (%)
4
36.4%
4
36.4%
3
27.3%
Cyrillic
ValueCountFrequency (%)
к 2
100.0%
CJK Compat
ValueCountFrequency (%)
2
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

관련문서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
KOTRA
1376 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KOTRA 1376
100.0%

Length

2023-12-12T16:00:53.198647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:53.304024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kotra 1376
100.0%

자료원
Text

MISSING 

Distinct722
Distinct (%)100.0%
Missing654
Missing (%)47.5%
Memory size10.9 KiB
2023-12-12T16:00:53.602987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length212
Median length102
Mean length42.801939
Min length6

Characters and Unicode

Total characters30903
Distinct characters465
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique722 ?
Unique (%)100.0%

Sample

1st row105_MW_Gabral-Kelam_hydro_power___project_1510922691364.doc
2nd rowChitral_Hydel_Power_Station_1510556034958.doc
3rd rowConstruction_of_Rajanpur__DG_Khan_Section(NHA)_1510050346042.doc
4th rowShyok_Dam_Multipurpose_Project_1509024709844.doc
5th rowIT_Sindh_Project(updated)_1503482696248.doc
ValueCountFrequency (%)
프로젝트 62
 
2.1%
60
 
2.0%
project 39
 
1.3%
발주처 34
 
1.2%
adb 28
 
1.0%
명함 25
 
0.9%
of 25
 
0.9%
명함.jpg 24
 
0.8%
담당자 23
 
0.8%
name 19
 
0.6%
Other values (1955) 2591
88.4%
2023-12-12T16:00:54.143406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2226
 
7.2%
. 1182
 
3.8%
p 1116
 
3.6%
o 1112
 
3.6%
a 1056
 
3.4%
e 977
 
3.2%
i 887
 
2.9%
n 884
 
2.9%
1 879
 
2.8%
r 874
 
2.8%
Other values (455) 19710
63.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13370
43.3%
Uppercase Letter 4435
 
14.4%
Decimal Number 4020
 
13.0%
Other Letter 3768
 
12.2%
Space Separator 2226
 
7.2%
Other Punctuation 1601
 
5.2%
Connector Punctuation 590
 
1.9%
Dash Punctuation 291
 
0.9%
Close Punctuation 274
 
0.9%
Open Punctuation 274
 
0.9%
Other values (2) 54
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
201
 
5.3%
200
 
5.3%
147
 
3.9%
138
 
3.7%
130
 
3.5%
122
 
3.2%
114
 
3.0%
113
 
3.0%
95
 
2.5%
79
 
2.1%
Other values (339) 2429
64.5%
Lowercase Letter
ValueCountFrequency (%)
p 1116
 
8.3%
o 1112
 
8.3%
a 1056
 
7.9%
e 977
 
7.3%
i 887
 
6.6%
n 884
 
6.6%
r 874
 
6.5%
t 845
 
6.3%
d 790
 
5.9%
c 609
 
4.6%
Other values (36) 4220
31.6%
Uppercase Letter
ValueCountFrequency (%)
P 495
 
11.2%
A 368
 
8.3%
S 289
 
6.5%
C 287
 
6.5%
T 260
 
5.9%
R 249
 
5.6%
E 241
 
5.4%
I 232
 
5.2%
G 226
 
5.1%
M 222
 
5.0%
Other values (33) 1566
35.3%
Decimal Number
ValueCountFrequency (%)
1 879
21.9%
2 557
13.9%
4 523
13.0%
0 480
11.9%
3 339
 
8.4%
5 277
 
6.9%
6 275
 
6.8%
7 265
 
6.6%
8 216
 
5.4%
9 209
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 1182
73.8%
, 401
 
25.0%
& 13
 
0.8%
# 4
 
0.2%
· 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 260
94.9%
] 10
 
3.6%
4
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 257
93.8%
[ 10
 
3.6%
7
 
2.6%
Math Symbol
ValueCountFrequency (%)
+ 33
63.5%
~ 19
36.5%
Space Separator
ValueCountFrequency (%)
2226
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 590
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 291
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17708
57.3%
Common 9330
30.2%
Hangul 3732
 
12.1%
Cyrillic 97
 
0.3%
Han 36
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
201
 
5.4%
200
 
5.4%
147
 
3.9%
138
 
3.7%
130
 
3.5%
122
 
3.3%
114
 
3.1%
113
 
3.0%
95
 
2.5%
79
 
2.1%
Other values (311) 2393
64.1%
Latin
ValueCountFrequency (%)
p 1116
 
6.3%
o 1112
 
6.3%
a 1056
 
6.0%
e 977
 
5.5%
i 887
 
5.0%
n 884
 
5.0%
r 874
 
4.9%
t 845
 
4.8%
d 790
 
4.5%
c 609
 
3.4%
Other values (42) 8558
48.3%
Cyrillic
ValueCountFrequency (%)
н 11
 
11.3%
а 9
 
9.3%
е 8
 
8.2%
о 7
 
7.2%
р 5
 
5.2%
и 4
 
4.1%
т 4
 
4.1%
с 3
 
3.1%
Е 3
 
3.1%
з 3
 
3.1%
Other values (27) 40
41.2%
Han
ValueCountFrequency (%)
4
 
11.1%
4
 
11.1%
2
 
5.6%
2
 
5.6%
1
 
2.8%
1
 
2.8%
1
 
2.8%
1
 
2.8%
1
 
2.8%
1
 
2.8%
Other values (18) 18
50.0%
Common
ValueCountFrequency (%)
2226
23.9%
. 1182
12.7%
1 879
 
9.4%
_ 590
 
6.3%
2 557
 
6.0%
4 523
 
5.6%
0 480
 
5.1%
, 401
 
4.3%
3 339
 
3.6%
- 291
 
3.1%
Other values (17) 1862
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27024
87.4%
Hangul 3732
 
12.1%
Cyrillic 97
 
0.3%
CJK 35
 
0.1%
None 12
 
< 0.1%
Geometric Shapes 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2226
 
8.2%
. 1182
 
4.4%
p 1116
 
4.1%
o 1112
 
4.1%
a 1056
 
3.9%
e 977
 
3.6%
i 887
 
3.3%
n 884
 
3.3%
1 879
 
3.3%
r 874
 
3.2%
Other values (65) 15831
58.6%
Hangul
ValueCountFrequency (%)
201
 
5.4%
200
 
5.4%
147
 
3.9%
138
 
3.7%
130
 
3.5%
122
 
3.3%
114
 
3.1%
113
 
3.0%
95
 
2.5%
79
 
2.1%
Other values (311) 2393
64.1%
Cyrillic
ValueCountFrequency (%)
н 11
 
11.3%
а 9
 
9.3%
е 8
 
8.2%
о 7
 
7.2%
р 5
 
5.2%
и 4
 
4.1%
т 4
 
4.1%
с 3
 
3.1%
Е 3
 
3.1%
з 3
 
3.1%
Other values (27) 40
41.2%
None
ValueCountFrequency (%)
7
58.3%
4
33.3%
· 1
 
8.3%
CJK
ValueCountFrequency (%)
4
 
11.4%
4
 
11.4%
2
 
5.7%
2
 
5.7%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (17) 17
48.6%
Geometric Shapes
ValueCountFrequency (%)
2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

등록일시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2019-03-07 20:09
1376 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-03-07 20:09
2nd row2019-03-07 20:09
3rd row2019-03-07 20:09
4th row2019-03-07 20:09
5th row2019-03-07 20:09

Common Values

ValueCountFrequency (%)
2019-03-07 20:09 1376
100.0%

Length

2023-12-12T16:00:54.277788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:54.376839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-03-07 1376
50.0%
20:09 1376
50.0%

수정일시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2019-03-07 20:09
1376 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-03-07 20:09
2nd row2019-03-07 20:09
3rd row2019-03-07 20:09
4th row2019-03-07 20:09
5th row2019-03-07 20:09

Common Values

ValueCountFrequency (%)
2019-03-07 20:09 1376
100.0%

Length

2023-12-12T16:00:54.520198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:00:54.649332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-03-07 1376
50.0%
20:09 1376
50.0%

Sample

연번프로젝트번호프로젝트명등록일자국가명중분류명소분류명현장위치해외발주처명프로젝트단계명발주방식사업자선정방식입찰예정일자재원조달규모금액(백만불)시공시작일자시공종료일자무역관명문의사항링크홈페이지프로젝트소스프로젝트상세정보무역관의견관련문서자료원등록일시수정일시
012017-01125105 MW Gabral-Kelam hydro power project2017-11-17파키스탄프로젝트발전(수력)Swat, Khyber PakhtunkhwaEnergy & Power Department, Government of KPKF/S국제입찰최저가격2018-10-26World Bank(잠정)4132019-02-282022-02-25카라치무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담Overview of Project: The project is located on Swat river. The project will have an installed capacity of 105 MW with 214.8m Gross head. Project Include construction of power plant with installation of 2 Francis turbines.Name of Owner: Energy & Power Department, Government of KPKPerson in charge: Mr. Muhammad NaeemStage of Project: Feasibility StageLocation: Swat, KPKTime table: Project will Start on Feb 2019 and will be completed on Feb 2022Estimated bidding date: October 2018 Funding agency: World Bank(Expected)Method of bidding: International Scale of Project (Cost) (Amount of money) : US$ 413 MillionEstimated construction period (Duration): 3 years발주처 KPK주정부는 관심있는 한국 업체들의 적극적인입찰 참가를 희망하고 있음.또한 주정부 담당자는 Global Green Hub Korea 2017 행사에 방한하여타 프로젝트건으로 국내업체들과 면담을 가진 바 있음.KOTRA105_MW_Gabral-Kelam_hydro_power___project_1510922691364.doc2019-03-07 20:092019-03-07 20:09
122017-01103Capacity Enhancement Of Chitral Hydel Power Station2017-11-13파키스탄프로젝트발전(수력)Chitral, KPKWAPDA(Water & Power Development)세부계획국제입찰최저가격2018-04-27AFD(France)21.892018-06-292021-06-30카라치무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담Overview of Project: The existing 1.0 MW Chitral Hydel Power Station is located on the right bank of Lutkho River, 5 Km upstream of Chitral City. The Project was commissioned in 1975 by diverting the flows of Lutkho River through 3.72 Km long channel and installing 2 units of 200 KW and 2 units of 300 KW each. The power generated from Chitral Hydel Power Station is supplied to Chitral City through 11 KV Transmission Line. The power demand in Chitral area has now been increased and there is a dire need to upgrade the capacity of existing Hydel Power Station at Chitral. In the initial construction phase of Project, limited flows of Lutkho River were diverted to Power Channel for generation of 1 MW only. However the river has abundant flows which can be utilized for Power Generation by constructing a small diversion weir, remodeling of power channel & fore bay and installation of new penstocks and additional units. It is estimated that the Power can be enhanced up to 5 MW.Name of Owner: Water & power Development발주처(WAPDA) 담당자는 과거 한국기업의 파키스탄 내 수행 실적에긍정적인 평가를 내리고 있어 동 프로젝트에도 한국기업의 참여를 희망함.기존 수력발전소(Hydel Power Station)를 업그레이드하는 프로젝트로관심 한국기업들의 참가가 유망할 것으로 보임.KOTRAChitral_Hydel_Power_Station_1510556034958.doc2019-03-07 20:092019-03-07 20:09
232017-01074Construction of Rajanpur DG Khan Section(N-55) as 4-Lane Highway2017-11-07파키스탄프로젝트토목(도로)DG Khan-PeshawarNational Highway Authority세부계획국제입찰최저가격2018-06-29Government of Pakistan(10%), Asian Development Bank(Expected)287.082018-09-282021-09-30카라치무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담Overview of Project: Govt of Pakistan had approved the proposal for dualization and improvement of Indus Highway (N-55) from Sarai Gambila to Kohat (128 km) and construction of a 4-lane access controlled motorway(49 km) between Yarik and Sagu. It included construction of 26 bridges with one major bridge on Kurrum River. Indus Highway(N-55) is 1,264 km long that runs along the Indus River connecting port city Karachi with Kohat & Peshawar via D. G. Khan & D.I.Khan. The highway being the second largest road connection (after G.T Road) provides an alternate North-South link while traversing 491 km in Sindh, 360 km in Punjab & 396 km in KPK, and connecting Rajanpur, D.G.Khan, D.I.Khan, Bannu, Kohat & Peshawar.Name of Owner: National Highway Authority(NHA)Person in charge: Mr. Imtiaz Ahmed KhokharStage of Project: Designed StageLocation: DG Khan-PeshawarTime table: Designed Consultancy will complete on Jan 2018. Construction will Start from Sept 2018 and will Complete till Sept 2021Estimated bidding date: June발주처(National Highway Authority) 담당자는 삼부토건 등 기존에 파키스탄에서 다수의 공사를 진행한 한국기업의 실적에 긍정적인 평가를 내리고 있어 동 프로젝트에도 한국기업의 참여가 유망할 것으로 전망됨.KOTRAConstruction_of_Rajanpur__DG_Khan_Section(NHA)_1510050346042.doc2019-03-07 20:092019-03-07 20:09
342017-01036Shyok Dam Multipurpose Project2017-10-26파키스탄프로젝트발전(수력)Gilgit BaltistanWAPDA(Water & Power Development)입찰국제입찰최저가격2018-06-15파키스탄 정부(30%), 나머지는 미정15272018-09-282020-03-27카라치무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담Overview of Project: The project will have an installed capacity of 640 MW Project Include construction of Dam(height: 1700ft) and power plant for the multipurpose.Type of the Dam will be RCC Gravity Dam. Name of Owner: Water and Power Development Authority(WAPDA)Person in charge: Mr. Hafiz Muhammad Mukhtar Stage of Project: Feasibility Study Location: Shyok Dam site is located on Shyok River about 3 km upstream of Khapalu Town which is under the administration of Baltistan Division of Gilgit BaltistanTime table: Feasibility Study will complete in Dec 2017, Construction will start on Sept 2018 and will be completed on March 2020Estimated bidding date: June 2018Funding agency: 30% Government of Pakistan, remaining 70% is not yet finalizeMethod of bidding: International Bidding Scale of Project (Cost) (Amount of money) : $1527.1 MillionEstimated construction period (Duration): 18 Months발주처(WAPDA)는 과거 한국기업의 수행 실적에긍정적인 평가를 내리고 있어 동 프로젝트에도 한국기업의 참여를 희망함.이를 위해 발주처는 MDB/GDF 프로젝트 플라자 2017 행사에 참가하여동 프로젝트에 대해 발표하고 국내기업과 면담 예정임(Patan Hydropower Project와 함께 동 프로젝트를 소개할 예정)KOTRAShyok_Dam_Multipurpose_Project_1509024709844.doc2019-03-07 20:092019-03-07 20:09
452017-00775Sindh E-Government Cloud Application2017-08-23파키스탄IT사업단ITKarachi, PakistanMinistry of Information Technology Govt of Sindh세부계획국제입찰기술심사2017-11-30Government of Sindh142017-12-292020-12-31카라치무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담Overview of Project: The main objective of this project is to establish a cloud based system for the province with the key segments like Cloud based Data Center having all government data in one data center, One GIS application for the entire province and sensor based data collection. The system will also be equipped with a Data Bank Application for taxation through one database where records of Urban and Rural Property, Registration of Deeds, collection of Stamp Duties through online banking, tax Lottery Scheme will be managed. The system will also have Financial Inclusion Program for the province by introducing payment system through smart cards. The system will focus on Public Service Delivery and ensure easy, fast and convenient interaction of public with government by establishing Facilitation Centers and introducing smart systems for Driving License, Motor Vehicle Booklet, Challan System, Land Titles and Tax Collection.Name of Owner: Information, Science & Technology Department, Government of Sindh.Pe신드주정부 IT부처 입찰건으로 클라우드 시스템 구축을 목적으로 함.동 발주처는 한국기업의 입찰 참가를 환영하는 입장이며이를 위해 담당자는 GMV 2017 행사에 참가하여 국내기업과 면담 예정임.KOTRAIT_Sindh_Project(updated)_1503482696248.doc2019-03-07 20:092019-03-07 20:09
562017-00714Solarization of Schools and Medical health centers in KPK2017-08-11파키스탄프로젝트신재생(태양광)Khyber PakhtunkhwaEnergy & Power Department, Government of KPK세부계획국제입찰최저가격2017-12-15Government of Pakistan(30%), 미정(70%)102018-02-282020-08-31카라치무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담Overview of Project: The Project will ensure uninterrupted power supply of electricity to the said department, especially during summer season, which is one of the main and most challenging job for the administration and is also call of time to switch over to alternative and self-reliant source of energy. This Project will cover 7000 schools and 150 medical centers in KPK.Name of Owner: Energy & Power Department, Government of KPKPerson in charge: Mr. Muhammad Naeem(Secretary)Stage of Project: Designed StageLocation: Southern and Northern KPKTime table: Project will Start on Feb 2018 and will be completed onAugust 2020Estimated bidding date: end of December 2017Funding agency: 30% Govt of Pakistan, 70% did not decided yet Method of bidding: International Scale of Project (Cost) (Amount of money) : US$ 10 MillionEstimated construction period (Duration): 2.5 years발주처(KPK 주정부)는 동 프로젝트에 한국기업이 참여하기를 기대하며Global Green Hub Korea 2017 행사에 주정부 담당자가 방한하여 국내업체에상세내용을 소개하고 상담을 시행할 예정임.KOTRAKPK_Presentation_for_GGHK_2017_1502459870501.ppt, Solarization_KPK_Project_form___updated_1503552284902.doc2019-03-07 20:092019-03-07 20:09
672017-00643Asrit-Kedam Hydropower Project2017-07-27파키스탄프로젝트발전(수력)Near Swat River, KPKYUNUS BROTHERS GROUP입찰국제입찰기술심사2017-12-15Yunus Brothers Group4502018-03-302023-04-28카라치무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담Overview of Project: The project will have an installed capacity of 215 MW with 214.8m Gross head. Project Include construction of power plant with installation of 3 Francis turbines. Project Consultant: i) RSW International(Canada), ii) NESPAK(Pakistan)Name of Owner: Yunus Brothers GroupPerson in charge: Mr. Javaid Zakaria(Senior Manager)Stage of Project: LOI has been IssuedLocation: Swat River between Asrit and Kedam villages, Malakand Agency in North West Frontier Province of Pakistan.Time table: Construction start: March 2018, Complete: April 2023Estimated bidding date: December 2017Funding agency: Yunus Brothers GroupMethod of bidding: International BiddingScale of Project (Cost) (Amount of money) : $450 MillionEstimated construction period (Duration): 5 Years민간 발주처(Yunus Brothers Group) 추진 사업으로파키스탄 내 유망 수력발전 프로젝트로 꼽힘.KOTRAAsrit-Kedam_Hyropower_Project_form___10_1503495340917.8.doc2019-03-07 20:092019-03-07 20:09
782017-00252Thakot Hydropower Project2017-04-08파키스탄프로젝트발전(수력)KPK주 Battagram DistrictWAPDA(Water & Power Development)F/S국제입찰최저가격2017-12-15Russian Government(잠정), AfW(독일, 잠정)50002018-02-282023-02-28카라치무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담프로젝트 개요: 4000 MW 규모의 수력발전소 건설 프로젝트로 댐(Roller-compacted concrete type)과 발전설비(26 km tunnel 포함)로 구성됨.위치: KPK주 인더스강 유역(수도 이슬라마바드에서 255km 거리)WAPDA 수력발전 프로젝트의 경우 삼부토건(Golen Gol 프로젝트), 포스코엔지니어링(Tarbela 프로젝트) 등 한국 기업들이 기존에 수주 경험을 보유함.이에 WAPDA는 한국기업의 기술력을 인정하며 우호적인 입장을 나타내고 있으며향후에도 동 프로젝트를 포함하여 한국기업의 입찰 참여를 적극적으로 유치하려는 입장임.*현재 F/S 진행 중이며 이르면 6월 중 마무리될 것으로 예상됨.*러시아, 독일 자금 조달 예정이나 한국업체의 참가에는 제약이 없음을 발주처 담당자와 확인함.KOTRA<NA>2019-03-07 20:092019-03-07 20:09
892017-00253Tarbela Hydro Power 5th Extension Project2017-04-08파키스탄프로젝트발전(수력)KPK주 Swabi DistrictWAPDA(Water & Power Development)세부계획국제입찰최저가격2017-08-25World Bank7952017-10-272020-10-30카라치무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담프로젝트 개요: 1410 MW 규모 수력발전소 확장 프로젝트로 470 MW 발전설비 3기로 구성됨.위치: KPK주 Swabi District 인더스강 Tarbela DamWAPDA 수력발전 프로젝트의 경우 삼부토건(Golen Gol 프로젝트), 포스코엔지니어링(Tarbela 프로젝트) 등 한국 기업들이 기존에 수주 경험을 보유함.이에 WAPDA는 한국기업의 기술력을 인정하며 우호적인 입장을 나타내고 있으며특히 해마다 반복되는 인더스강의 범람으로 인한 홍수를 예방하기 위해 수력발전 프로젝트를 활발히 추진 중임.향후에도 동 프로젝트를 포함하여 한국기업의 입찰 참여를 적극적으로 유치하려는 입장임.*관련문서로 프로젝트 상세 정보, World Bank와의 MOU 서명식 관련 문서, 기존 4차 확장 프로젝트 당시 World Bank 보고서(5차 확장에 대해 언급하고 있음)를 추가 등록함.KOTRATarbela_5th_Extension_project___detail_1493288742990.pdf, Tarbela_5th_Extension_with_the___World_Bank_and_AIIB_1493288860420.pdf, World_Bank_Document(Tarbela)_1493288918419.pdf2019-03-07 20:092019-03-07 20:09
9102017-00251Development of 100 MW Solar Power Project2017-04-08파키스탄프로젝트신재생(태양광)Sindh DistrictsMinistry of Sindh, Energy Department세부계획국제입찰최저가격2017-08-15현지 정부(49%), Private sector(51%)2502017-09-292019-03-29카라치무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담프로젝트 개요: 20MW 태양광 발전소(solar photo-voltaic power plants) 5기를 건설하는 프로젝트(총 100MW).동 프로젝트 완료 이후 신드주정부는 2단계로 2018년까지 300MW 규모로 업그레이드도 계획 중임.위치: 신드주 내 5개 지역(i) Thatta,ii) Shaheed Benazirabad, iii) Larkana, iv) Sukkar, v) Jamshoro)재원조달방식: Public Private Partnership Mode신드주정부는 태양광 등 신재생에너지 프로젝트를 적극적으로 추진 중이며 한국기업의 입찰참여에 긍정적인 입장을 보이고 있음.주정부 차관보(Mr. Abu Bakar)가 KOTRA 카라치무역관 주최 2015 파키스탄 전력개발 포럼에 연사로 참석하여 주정부 정책방향 및 프로젝트 현황을 소개한 바 있음.향후 국내기업의 적극적인 참여가 필요한 프로젝트로 보임.*관련문서로 전력개발 포럼 당시 발표자료를 추가 등록함. 슬라이드 31번의 100 MW Solar Projects 내용 참조KOTRA3_1493290710983. GOVERNMENT OF SINDH Presentation.pptx2019-03-07 20:092019-03-07 20:09
연번프로젝트번호프로젝트명등록일자국가명중분류명소분류명현장위치해외발주처명프로젝트단계명발주방식사업자선정방식입찰예정일자재원조달규모금액(백만불)시공시작일자시공종료일자무역관명문의사항링크홈페이지프로젝트소스프로젝트상세정보무역관의견관련문서자료원등록일시수정일시
136613672011-00216러, 모스크바주 Stupino시 복합주차타워 건설 프로젝트2011-04-08러시아연방프로젝트건축(주택)러시아 모스크바주 남부 Stupino시Avto-Grad Technology세부계획기타기타2011-10-28투자유치/합작투자102012-01-022012-12-31모스크바무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담비즈니스 플랜 파일, Auto-Grad Technology사 대표 서한 첨부- initial permissive documentation이 통과되었음, 토지 측량 작업중, 환경 감사 진행되었음, 건축 설비 연결 준비중, 3D-프로젝트/건물 및 인프라 모형이 개발되었음, 토지 소유권 등록 준비중- CJSC 'AUTO-GRAD TECHNOLOGY'는 '자체 인프라를 갖춘 복합 주차타워' 건설 투자 프로젝트를 실현하기 위해 2008년 9월 2일에 설립됨. 498대 분량의 현대 주차장은 서비스 시설(세차장,tire fitting shop (카센터),자동차 용품 가게),여가 시설을 (카페,레스토랑,피트니스-홀,자동차 가게,자동차 영화관,운동장,사무실 시설) 포함함. 건물의 총 면적은 14,600 제곱 미터이고 토지의 면적은 0,46 헥타르임. 주차장의 위치는 Stupino시,'South-West' micro-district,Sluzhbina street임첨부된 비즈니스 플랜 자료 및 수익성 검토 필요(발주처 면담일지 및 사진/명함 파일 첨부)KOTRALetter.jpg, THE BUSINESS PLAN.doc, 발주처 면담일지[오토그라드].hwp2019-03-07 20:092019-03-07 20:09
136713682011-00215러시아 고속철도 건설 프로젝트(HSRL1, 모스크바~상트페테르부르크 구간)2011-04-07러시아연방프로젝트토목(도로)모스크바~상트페테르부르크러시아 고속철도 공단 (High-Speed Rail Lines)F/S국제입찰기타2011-12-31정부예산 및 투자유치250002013-01-012017-12-31모스크바무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담러시아 고속철도 프로젝트 프레젠테이션 자료 파일 첨부- 건설비용의 50%는 러시아 정부가 건설기간 중 지급, 나머지 50%는 건설사측이 우선 부담후 30년에 걸쳐 지급(이자 포함)될 계획임.- 현재 프랑스, 독일, 스페인, 포르투갈, 중국, 일본이 사업참여에 관심을 표명함.ㅇ 한국측의 참여 상황 및 의견 - 주러 대한민국 대사관 및 KOTRA 관계자는 지속적으로 러시아 고속철도 공단과 접촉을 취하고 있으며, 우리기업의 관심도 높아지고 있는 상황임. 2011년 3월 : 한국철도시설공단, 현대종합상사, 현대Rotem 관계자들이 러시아 고속철도 공단을 방문해 한국고속철도 소개 및 사업 참여의지를 피력. 또한, 우리기업 관계자들은 대사관 및 KOTRA에 외교채널을 통한 사업참여 지원을 요청 러시아 고속철도 공단측은 현재 한국 고속철도에 대한 인지도가 낮은 편이어서 보다 적극적인 홍보가 필요할 것으로 보며, 고속철도 프로젝트가 HSRL 1 외에도 추가로 진행될 예정이기 때문에 지속적인 관심이 필요하다고 언급함.KOTRA러시아 고속철도 프로젝트 프렌젠테이션 자료.pdf, 명함_1427680033829.jpg2019-03-07 20:092019-03-07 20:09
136813692011-00151Miass 풍력발전 프로젝트2011-03-29러시아연방프로젝트발전(화력발전)Miass city, Chelyabinsk Region<NA>계획기타기타2011-12-01발주자 펀딩/투자유치1.72012-01-012014-03-31노보시비르스크무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>일간지 및 기타 매체정보시공개요, 현재진행상황, 재원조달 상세내역 등 ㅇ 시공개요 및 진행사항 - 프로젝트 추진 목적은 총 30kw 규모의 풍력발전소 건설로 가스 및 석유 발전 의존도 탈피 및대체 에너지 개발 추진 - 2011년 프로젝트 세부계획 확정 및 투자자 유치 - 프로젝트 정보는 현지 언론 및 자체 사이트 등을 통해 홍보가 되고 있는 것으로 파악됐으며, 첼랴빈스 크 주정부의 주요 추진 프로젝트에도 등재됨.(관련사이트 www.pravmin74.ru 참조)ㅇ 재원조달 내역 - 총액 1.7백만불 중 자체펀딩 예산은 69만불이며, 나머지 10.3백만불은 투자유치 추진입찰시 주력포인트, 기타 수주전략, 발주처동향 등 ㅇ 발주처 정보- 발주업체는 국영기업으로 자원채굴, 에너지 발전 분야 뿐만아니라 러시아 미사일, 우주 로켓 개발에 참여하고 있는업체로 파악되고 있음.KOTRA<NA>2019-03-07 20:092019-03-07 20:09
136913702011-00121요하네스버그-더반 고속철 프로젝트2011-03-25남아프리카프로젝트<NA>요하네스버그Department of Transport계획국제입찰최저가격2011-07-29발주자 펀딩 & 투자유치3600~86002015-07-012020-07-31요하네스버그무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담ㅇ 2010년 9월 남아공 교통부 장관이 ‘국가교통망마스터플랜 2010-2050’의 일환으로 공식발표하면서 공론화ㅇ 2011년 3월 현재 조벅-더반 고속철 프로젝트 기본계획안이 각료회의에 상정되어 승인 대기중ㅇ 기본계획안이 각료회의를 통과하는 즉시 F/S 개시 예정ㅇ 이상의 절차가 순조롭게 진행될 경우 2011년 6월 케이프타운에서 국제투자 컨퍼런스를 개최할 예정ㅇ 2011년 7월에 관심 기업으로부터 의향서(LOI) 수령할 계획ㅇ 조벅-더반 구간은 약 500kmㅇ 교통부(DoT) 장관, 최근 줌바 대통령 아들(Duduzane Zuma), 굽타패밀리, 중국철도공사 커넥션이 동 프로젝트를 사실상 수주했다는 소문에 대해 강력히 부인ㅇ 향후 정부는 공정하고 투명한 국제입찰 절차를 거쳐 시행사를 선정할 계획임을 천명- 정부가 프로젝트 추진일정을 구체적으로 밝힘으로써 향후 추진 가능성이 매우 높은 것으로 평가하고 있음.- 이에 요하네스버그KBC는 6월 GPP행사에 Transnet(철도운영담당 공기업)의 고위실무자를 초청하여 동프로젝트를 국내에 소개 추진(초청장 발송)- TFR(Transnet Freight Rail)의 책임자 접촉중KOTRA고속철도사업(High Speed Railway).ppt2019-03-07 20:092019-03-07 20:09
137013712011-00118사하공화국 다란나흐스키 철광산 개발 및 가공공장 건설2011-03-25러시아연방프로젝트<NA>사하공화국 올레크민스크시JSC CorporationF/S국제입찰기술심사2012-02-15발주자펀딩/투자유치18072012-03-152022-03-15블라디보스톡무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담The Tarinnahsky deposit iron ore is estimated as the largest known deposits in the Far East of Russia. Planning to build the Tarinnahsky mining and metallurgical plant which will have the capacity of 46 Mln. tons of iron ore per year. It will be the open pit-mine.The Tarinnahsky deposit is located on the South of the Sakha Republic (Yakutia) and situated in 250 кm from the Olekminsk city and in 190 кm from the Hani railway station on the Baikal-Amur MainlineKOTRASouth Yakuita Development Projects (8)1.doc2019-03-07 20:092019-03-07 20:09
137113722011-00081South Pars Phases 22, 23, 242011-03-18이란프로젝트기타ASSALUYEH<NA>계획수의계약기타<NA>발주자펀딩10<NA><NA>테헤란무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담ㅇ 프로젝트 owner는 POGC/SEPANIR, 메인 Contractor는 MAPNA, Nardis, Kherad Energy &amp; Environment Co는 sub-contractor임. ㅇ 동 프로젝트는 초기단계로서 Engineering 및 Procurement 참여를 요청하고 있음.ㅇ Scope of Work는 the design engineering, fabrication, assembling, supply materials, testing, inspection, packaging and delivery for the South Pars Gas Field Development Phases 22, 23 &amp; 24, onshore facilities임. Packaging item은 polishing water package, potable water package and waste effluent treatment package임이란 경제재제로 인해 유럽기업의 참가 부진으로 국내기업의 검토가 요망됨.KOTRA<NA>2019-03-07 20:092019-03-07 20:09
137213732011-00087Palawan 금/구리/망간 프로젝트2011-03-18필리핀프로젝트기타Narra, Palawan,<NA>F/S기타기타2011-11-30합작투자2<NA><NA>마닐라무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담ㅇ 탐사 단계- 현재 필리핀 관계당국(MGB, DENR 등)에 Special Mines Permit과 Expolration Permit 신청 상태* Permit No: SSMP-47/SSMP-48/ASSMP-171,ASSMP-172, EPA-067 AND EPA-068/ AREA= 7,500 HECTARESㅇ 금, 구리, 망간 매장량: 5백만 MT(노천광산)ㅇ한국기업과 협력 희망사항 - technology/development, and investments# 추가 상세 정보는 첨부 프로젝트 Presentation 참조시공개요, 현재진행상황, 재원조달 상세내역 등- Aramaywan Metals는 Palawan 근거지로 하는 중견 광물광산 개발사 (직원수 150여명)- 노천 광산 (Open Pit 방식), 소형광산(Small-scale mining) 개발 건입찰시 주력포인트, 기타 수주전략, 발주처동향 등KOTRAAramaywan Presentation.pptx2019-03-07 20:092019-03-07 20:09
137313742011-00078Shahroud Power Plants2011-03-15이란프로젝트발전(화력발전)Shahrod City<NA>계획수의계약기타2011-06-20프로젝트 owner122011-06-202012-12-31테헤란무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담-프로젝트 owner는 IPDC, Consultant는 GNCE, 메인 Contractor는 MAPNA이며, Kherad Energy &amp; Environment Co.는 MAPNA의 Subcontractor로 계약함. -Mechanical B.O.P for Shahroud Gas Turbine Power Plants(Fuel system, Water treatment plant, Fire system, Sewage treatment unit, wa이란제재조치 이후 유럽 경쟁기업들의 이란 사업중단 등으로 인해 한국기업에게는 현지시장 진출의 기회가 될 수 있음.KOTRA<NA>2019-03-07 20:092019-03-07 20:09
137413752011-00034Transmission System : Lao-Border to Stung Treng2011-02-04캄보디아프로젝트기타캄보디아 스텅트랭(Stung Treng)<NA>계획국제입찰최저가격2011-12-01국제기금(Wolrd Bank)162012-02-012014-12-30프놈펜무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담시공개요, 현재진행상황, 재원조달 상세내역 등 World Bank의 재원조달 아래 캄보디아 북쪽 지역 스텅트랭(Stung Treng)주의 전기를 라오스로 부터 수입하여 공급할 전력선 공사 프로젝트임. 캄보디아는 자체 전력생산능력이 극히 부족하여 인근국으로 부터 수입을 하고 있으며 라오스 국경에 위치한 북쪽 지역은 특히 낙후된 지역의 하나로 지역 발전을 위해 World Bank에서 재원을 지원하여 동 프로젝트를 시작하게 되었음.동 프로젝트는 World Bank라는 안정적 재원 뿐 아니라 캄보디아 전력공사(EDC)의 입찰 사업으로 전기 인프라가 낙후된 캄보디아 현실상 향후 많은 관련 공사 입찰이 예상됨. 따라서프로젝트 F/S는 끝났으며, 현재 프로젝트를 구현할 컨선턴트 선발작업이 진행 중이다. 컨설턴트가 최종 선발된 이후 향후 입찰 등 세부사항이 진행될 예정임캄보디아 전력공사(EDC)는 캄보디아 정부기관 중 몇 안되는 현금흐름이 좋은 곳으로 물품대금 연체가 적고 사업파트너로서 괜찮은 곳으로 회자되고 있음. EDC와 좋은 관계를 유지하고, 시장을 지속적으로두드린다면 우리기업에게낙후된 캄보디아 전기 인프라 시장에 들어설 수 있는좋은 기회가 될 수 있음으로 추천하는 프로젝트임.KOTRA<NA>2019-03-07 20:092019-03-07 20:09
137513762011-00027우크라이나 Berdyansk지역 풍력발전소 건립2011-01-31우크라이나프로젝트<NA>Zaporozhye region, Ukraine (Coast of Azov Sea near Berdyansk town)<NA>계획국제입찰최저가격2012-03-30자체예산12012-04-022013-12-31키예프무역관news.kotra.or.kr/kotranews/subIndex/101.do<NA>발주처 면담Name of the projectBerdyansk WindfarmIndustryWind PowerBriefly about the projectConstruction of Berdyansk Windfarm with installed capacity of about 150 MW, which will be located at Azov Sea coast in Zaporozhye region of Ukraine.Project ordering organization'Wind Power' LLC- Name of the org.'Wind Power' LLC- Contact info2A Pushkin Blvd, Donetsk,83001, Ukraine Tel.: +38 062 381 54 68Fax: +38 062 341 46 **@*** of the projectZaporozhye region, UkraineCoast of Azov Sea near Berdyansk townTender or contract without tender / International tenderFor WTGs - price quotation for international manufacturersIn the tender, what is the orderer''''s criteria - low price high quality or others (how will they decide participant)Main criteria - effectiveness of windfarm, which depends on WTGs'''' price, operating costs of each kWh produced, WTGs'''' capacity utilization factor, WTGs'''' availability factor, guarantee period and post-guarantee service, manufacturer''''s help with debt rising, etc. Also it''''s nessessary to fulfDTEK사는 우크라이나 유력 대체에너지 회사로 우크라이나 최대 거부인 Rinat Akhmetov가 보유하고 있음. DTEK본사는 키예프에 위치하고 있으며 이 회사는 프로젝트 외에도 장비 소싱 등에도 관심이 있음. 우크라이나는 현재 Green Tariff 등 대체에너지 발전을 위한 인센티브 제도를 추진하고 있는 바협력 논의시 이에 대한 세부내역을확인할 필요가 있음.KOTRA<NA>2019-03-07 20:092019-03-07 20:09