Overview

Dataset statistics

Number of variables30
Number of observations4616
Missing cells38802
Missing cells (%)28.0%
Duplicate rows4
Duplicate rows (%)0.1%
Total size in memory1.1 MiB
Average record size in memory246.0 B

Variable types

Numeric3
Categorical8
Text11
Unsupported3
DateTime4
Boolean1

Dataset

Description연도,요청번호,기관구분,사업명,사업부서명,사업분야명,심의구분,심의요청구분,세부분야,공사구분,공사명,위치,공사기간,용역기간,총공사비,금회공사비,설계자명,대표자,공사개요,요청부서,요청자,요청일,접수일,조치내용서 제출일자,조치내용서 내용요약,조치결과서 제출일자,조치결과서,조치결과서 결과요약,진행상태,다음진행심의
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-2525/S/1/datasetView.do

Alerts

Dataset has 4 (0.1%) duplicate rowsDuplicates
사업부서명 is highly imbalanced (55.4%)Imbalance
심의요청구분 is highly imbalanced (67.6%)Imbalance
공사구분 is highly imbalanced (53.4%)Imbalance
위치 has 4616 (100.0%) missing valuesMissing
공사기간 has 2668 (57.8%) missing valuesMissing
용역기간 has 1195 (25.9%) missing valuesMissing
금회공사비 has 4616 (100.0%) missing valuesMissing
설계자명 has 2347 (50.8%) missing valuesMissing
대표자 has 2747 (59.5%) missing valuesMissing
접수일 has 768 (16.6%) missing valuesMissing
조치내용서 제출일자 has 3785 (82.0%) missing valuesMissing
조치내용서 내용요약 has 4306 (93.3%) missing valuesMissing
조치결과서 제출일자 has 3293 (71.3%) missing valuesMissing
조치결과서 has 3845 (83.3%) missing valuesMissing
다음진행심의 has 4616 (100.0%) missing valuesMissing
총공사비 is highly skewed (γ1 = 64.35920158)Skewed
위치 is an unsupported type, check if it needs cleaning or further analysisUnsupported
금회공사비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다음진행심의 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총공사비 has 676 (14.6%) zerosZeros

Reproduction

Analysis started2024-05-10 22:44:56.808448
Analysis finished2024-05-10 22:45:02.447793
Duration5.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.3557
Minimum2008
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.7 KiB
2024-05-10T22:45:02.594047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2008
5-th percentile2008
Q12012
median2017
Q32021
95-th percentile2023
Maximum2024
Range16
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.0823747
Coefficient of variation (CV)0.0025205745
Kurtosis-1.2902752
Mean2016.3557
Median Absolute Deviation (MAD)4
Skewness-0.18883095
Sum9307498
Variance25.830533
MonotonicityNot monotonic
2024-05-10T22:45:02.967050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2023 396
 
8.6%
2009 368
 
8.0%
2022 362
 
7.8%
2021 338
 
7.3%
2019 325
 
7.0%
2020 295
 
6.4%
2008 295
 
6.4%
2016 277
 
6.0%
2015 264
 
5.7%
2010 246
 
5.3%
Other values (7) 1450
31.4%
ValueCountFrequency (%)
2008 295
6.4%
2009 368
8.0%
2010 246
5.3%
2011 230
5.0%
2012 189
4.1%
2013 155
3.4%
2014 212
4.6%
2015 264
5.7%
2016 277
6.0%
2017 228
4.9%
ValueCountFrequency (%)
2024 204
4.4%
2023 396
8.6%
2022 362
7.8%
2021 338
7.3%
2020 295
6.4%
2019 325
7.0%
2018 232
5.0%
2017 228
4.9%
2016 277
6.0%
2015 264
5.7%

요청번호
Real number (ℝ)

Distinct397
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.87998
Minimum1
Maximum397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.7 KiB
2024-05-10T22:45:03.368153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14
Q169
median138
Q3212
95-th percentile320.25
Maximum397
Range396
Interquartile range (IQR)143

Descriptive statistics

Standard deviation93.592591
Coefficient of variation (CV)0.63720453
Kurtosis-0.66921596
Mean146.87998
Median Absolute Deviation (MAD)71
Skewness0.41229274
Sum677998
Variance8759.573
MonotonicityNot monotonic
2024-05-10T22:45:03.930705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 19
 
0.4%
91 19
 
0.4%
12 18
 
0.4%
122 18
 
0.4%
119 18
 
0.4%
153 18
 
0.4%
73 18
 
0.4%
14 18
 
0.4%
13 18
 
0.4%
127 18
 
0.4%
Other values (387) 4434
96.1%
ValueCountFrequency (%)
1 18
0.4%
2 18
0.4%
3 17
0.4%
4 16
0.3%
5 17
0.4%
6 16
0.3%
7 17
0.4%
8 17
0.4%
9 16
0.3%
10 16
0.3%
ValueCountFrequency (%)
397 1
< 0.1%
396 1
< 0.1%
395 1
< 0.1%
394 1
< 0.1%
393 1
< 0.1%
392 1
< 0.1%
391 1
< 0.1%
390 1
< 0.1%
389 1
< 0.1%
388 1
< 0.1%

기관구분
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.2 KiB
서울시
3195 
자치구
1011 
공사공단
405 
투자출연기관
 
5

Length

Max length6
Median length3
Mean length3.0909879
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자치구
2nd row서울시
3rd row서울시
4th row공사공단
5th row서울시

Common Values

ValueCountFrequency (%)
서울시 3195
69.2%
자치구 1011
 
21.9%
공사공단 405
 
8.8%
투자출연기관 5
 
0.1%

Length

2024-05-10T22:45:04.384118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:45:04.901216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울시 3195
69.2%
자치구 1011
 
21.9%
공사공단 405
 
8.8%
투자출연기관 5
 
0.1%

사업명
Text

Distinct4140
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size36.2 KiB
2024-05-10T22:45:05.432593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length52
Mean length25.091854
Min length1

Characters and Unicode

Total characters115824
Distinct characters637
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3759 ?
Unique (%)81.4%

Sample

1st row「강북구 신청사건립사업」 건설사업관리용역(감독권한대행)
2nd row시공단계의 건설사업관리계획 심의 요청(남산 곤돌라 설치공사 건설사업관리용역)
3rd row사업수행능력 세부평가기준 검토 요청(남산 곤돌라 설치공사 건설사업관리용역)
4th row서울교통공사 4호선 미아~미아사거리역 등 4개구간 지하구조물 정밀안전진단 및 성능평가용역
5th row남산 생태환경 복원 기본계획
ValueCountFrequency (%)
및 1627
 
7.1%
용역 1349
 
5.9%
기본 845
 
3.7%
실시설계 770
 
3.4%
정밀안전진단 600
 
2.6%
실시설계용역 397
 
1.7%
설계용역 276
 
1.2%
정밀안전진단용역 263
 
1.2%
등 233
 
1.0%
건립공사 186
 
0.8%
Other values (5364) 16249
71.3%
2024-05-10T22:45:06.659464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18213
 
15.7%
설 3627
 
3.1%
역 3511
 
3.0%
사 3228
 
2.8%
용 3122
 
2.7%
계 2560
 
2.2%
시 2471
 
2.1%
공 2434
 
2.1%
정 1724
 
1.5%
및 1711
 
1.5%
Other values (627) 73223
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90603
78.2%
Space Separator 18213
 
15.7%
Decimal Number 3260
 
2.8%
Close Punctuation 1034
 
0.9%
Open Punctuation 1032
 
0.9%
Dash Punctuation 499
 
0.4%
Other Punctuation 376
 
0.3%
Uppercase Letter 376
 
0.3%
Math Symbol 258
 
0.2%
Lowercase Letter 167
 
0.1%
Other values (4) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 3627
 
4.0%
역 3511
 
3.9%
사 3228
 
3.6%
용 3122
 
3.4%
계 2560
 
2.8%
시 2471
 
2.7%
공 2434
 
2.7%
정 1724
 
1.9%
및 1711
 
1.9%
기 1707
 
1.9%
Other values (546) 64508
71.2%
Uppercase Letter
ValueCountFrequency (%)
C 69
18.4%
I 52
13.8%
T 33
8.8%
D 31
8.2%
S 28
7.4%
B 26
 
6.9%
A 24
 
6.4%
R 19
 
5.1%
O 15
 
4.0%
G 13
 
3.5%
Other values (12) 66
17.6%
Lowercase Letter
ValueCountFrequency (%)
s 20
12.0%
a 18
 
10.8%
e 15
 
9.0%
o 14
 
8.4%
t 13
 
7.8%
p 10
 
6.0%
l 10
 
6.0%
m 9
 
5.4%
i 6
 
3.6%
g 6
 
3.6%
Other values (12) 46
27.5%
Decimal Number
ValueCountFrequency (%)
2 970
29.8%
1 723
22.2%
3 358
 
11.0%
0 357
 
11.0%
4 261
 
8.0%
9 175
 
5.4%
5 128
 
3.9%
8 115
 
3.5%
7 97
 
3.0%
6 76
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 192
51.1%
? 68
 
18.1%
. 32
 
8.5%
& 23
 
6.1%
; 18
 
4.8%
/ 17
 
4.5%
# 14
 
3.7%
' 8
 
2.1%
？ 3
 
0.8%
: 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1018
98.5%
」 8
 
0.8%
』 5
 
0.5%
] 3
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 1016
98.4%
「 8
 
0.8%
『 5
 
0.5%
[ 3
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 252
97.7%
+ 5
 
1.9%
→ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
18213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 499
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90601
78.2%
Common 24678
 
21.3%
Latin 543
 
0.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 3627
 
4.0%
역 3511
 
3.9%
사 3228
 
3.6%
용 3122
 
3.4%
계 2560
 
2.8%
시 2471
 
2.7%
공 2434
 
2.7%
정 1724
 
1.9%
및 1711
 
1.9%
기 1707
 
1.9%
Other values (544) 64506
71.2%
Latin
ValueCountFrequency (%)
C 69
 
12.7%
I 52
 
9.6%
T 33
 
6.1%
D 31
 
5.7%
S 28
 
5.2%
B 26
 
4.8%
A 24
 
4.4%
s 20
 
3.7%
R 19
 
3.5%
a 18
 
3.3%
Other values (34) 223
41.1%
Common
ValueCountFrequency (%)
18213
73.8%
) 1018
 
4.1%
( 1016
 
4.1%
2 970
 
3.9%
1 723
 
2.9%
- 499
 
2.0%
3 358
 
1.5%
0 357
 
1.4%
4 261
 
1.1%
~ 252
 
1.0%
Other values (27) 1011
 
4.1%
Han
ValueCountFrequency (%)
內 1
50.0%
舊 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90589
78.2%
ASCII 25189
 
21.7%
None 29
 
< 0.1%
Compat Jamo 12
 
< 0.1%
Punctuation 2
 
< 0.1%
CJK 2
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18213
72.3%
) 1018
 
4.0%
( 1016
 
4.0%
2 970
 
3.9%
1 723
 
2.9%
- 499
 
2.0%
3 358
 
1.4%
0 357
 
1.4%
4 261
 
1.0%
~ 252
 
1.0%
Other values (63) 1522
 
6.0%
Hangul
ValueCountFrequency (%)
설 3627
 
4.0%
역 3511
 
3.9%
사 3228
 
3.6%
용 3122
 
3.4%
계 2560
 
2.8%
시 2471
 
2.7%
공 2434
 
2.7%
정 1724
 
1.9%
및 1711
 
1.9%
기 1707
 
1.9%
Other values (542) 64494
71.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 10
83.3%
ㅇ 2
 
16.7%
None
ValueCountFrequency (%)
「 8
27.6%
」 8
27.6%
『 5
17.2%
』 5
17.2%
？ 3
 
10.3%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%
CJK
ValueCountFrequency (%)
內 1
50.0%
舊 1
50.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

사업부서명
Categorical

IMBALANCE 

Distinct35
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size36.2 KiB
서울특별시
3229 
서울교통공사
 
214
구로구
 
82
서울주택도시공사
 
70
서울시설공단
 
67
Other values (30)
954 

Length

Max length10
Median length5
Mean length4.7365685
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row강북구
2nd row서울특별시
3rd row서울특별시
4th row서울교통공사
5th row서울특별시

Common Values

ValueCountFrequency (%)
서울특별시 3229
70.0%
서울교통공사 214
 
4.6%
구로구 82
 
1.8%
서울주택도시공사 70
 
1.5%
서울시설공단 67
 
1.5%
마포구 57
 
1.2%
서초구 57
 
1.2%
양천구 57
 
1.2%
강동구 50
 
1.1%
성동구 49
 
1.1%
Other values (25) 684
 
14.8%

Length

2024-05-10T22:45:07.123811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 3229
70.0%
서울교통공사 214
 
4.6%
구로구 82
 
1.8%
서울주택도시공사 70
 
1.5%
서울시설공단 67
 
1.5%
마포구 57
 
1.2%
서초구 57
 
1.2%
양천구 57
 
1.2%
강동구 50
 
1.1%
성동구 49
 
1.1%
Other values (25) 684
 
14.8%

사업분야명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.2 KiB
토목
2946 
건축
818 
조경?산림
430 
기계
 
253
전기
 
169

Length

Max length5
Median length2
Mean length2.2794627
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건축
2nd row토목
3rd row토목
4th row토목
5th row조경?산림

Common Values

ValueCountFrequency (%)
토목 2946
63.8%
건축 818
 
17.7%
조경?산림 430
 
9.3%
기계 253
 
5.5%
전기 169
 
3.7%

Length

2024-05-10T22:45:07.510133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:45:07.772167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토목 2946
63.8%
건축 818
 
17.7%
조경?산림 430
 
9.3%
기계 253
 
5.5%
전기 169
 
3.7%

심의구분
Categorical

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size36.2 KiB
용역발주심의
1763 
설계심의
1042 
정밀안전진단심의
901 
설계심의사후평가
250 
사업수행능력평가기준심의
 
170
Other values (7)
490 

Length

Max length12
Median length11
Mean length6.4573224
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건설사업관리계획심의
2nd row건설사업관리계획심의
3rd row사업수행능력평가기준심의
4th row정밀안전진단심의
5th row용역발주심의

Common Values

ValueCountFrequency (%)
용역발주심의 1763
38.2%
설계심의 1042
22.6%
정밀안전진단심의 901
19.5%
설계심의사후평가 250
 
5.4%
사업수행능력평가기준심의 170
 
3.7%
설계적격심의 108
 
2.3%
입찰방법심의 96
 
2.1%
건설사업관리계획심의 75
 
1.6%
공사기간 적정성 심의 65
 
1.4%
입찰안내서심의 62
 
1.3%
Other values (2) 84
 
1.8%

Length

2024-05-10T22:45:08.085527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용역발주심의 1763
37.1%
설계심의 1042
22.0%
정밀안전진단심의 901
19.0%
설계심의사후평가 250
 
5.3%
사업수행능력평가기준심의 170
 
3.6%
설계적격심의 108
 
2.3%
입찰방법심의 96
 
2.0%
건설사업관리계획심의 75
 
1.6%
공사기간 65
 
1.4%
적정성 65
 
1.4%
Other values (4) 211
 
4.4%

심의요청구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.2 KiB
최초요청
4343 
재심의요청
 
273

Length

Max length5
Median length4
Mean length4.0591421
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
최초요청 4343
94.1%
재심의요청 273
 
5.9%

Length

2024-05-10T22:45:08.414187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:45:08.705516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
최초요청 4343
94.1%
재심의요청 273
 
5.9%

세부분야
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size36.2 KiB
도로
1071 
기타
1027 
<NA>
868 
상ㆍ하수도
763 
지하철
357 
Other values (3)
530 

Length

Max length5
Median length2
Mean length3.0194974
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도로 1071
23.2%
기타 1027
22.2%
<NA> 868
18.8%
상ㆍ하수도 763
16.5%
지하철 357
 
7.7%
하천 345
 
7.5%
공공청사 162
 
3.5%
병원 23
 
0.5%

Length

2024-05-10T22:45:09.051496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:45:09.403534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로 1071
23.2%
기타 1027
22.2%
na 868
18.8%
상ㆍ하수도 763
16.5%
지하철 357
 
7.7%
하천 345
 
7.5%
공공청사 162
 
3.5%
병원 23
 
0.5%

공사구분
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size36.2 KiB
CONCLASS003
2868 
CONCLASS001
800 
<NA>
712 
CONCLASS004
 
108
CONCLASS007
 
57
Other values (6)
 
71

Length

Max length11
Median length11
Mean length9.9202773
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCONCLASS003
2nd rowCONCLASS001
3rd row<NA>
4th row<NA>
5th rowCONCLASS005

Common Values

ValueCountFrequency (%)
CONCLASS003 2868
62.1%
CONCLASS001 800
 
17.3%
<NA> 712
 
15.4%
CONCLASS004 108
 
2.3%
CONCLASS007 57
 
1.2%
CONCLASS008 26
 
0.6%
CONCLASS006 20
 
0.4%
CONCLASS010 11
 
0.2%
CONCLASS005 6
 
0.1%
CONCLASS002 5
 
0.1%

Length

2024-05-10T22:45:09.840798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
conclass003 2868
62.1%
conclass001 800
 
17.3%
na 712
 
15.4%
conclass004 108
 
2.3%
conclass007 57
 
1.2%
conclass008 26
 
0.6%
conclass006 20
 
0.4%
conclass010 11
 
0.2%
conclass005 6
 
0.1%
conclass002 5
 
0.1%

공사명
Text

Distinct4556
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size36.2 KiB
2024-05-10T22:45:10.224830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length63
Mean length35.265598
Min length1

Characters and Unicode

Total characters162786
Distinct characters637
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4503 ?
Unique (%)97.6%

Sample

1st row제143차-「강북구 신청사건립사업」 건설사업관리용역(감독권한대행)-건설사업관리계획심의
2nd row시공단계의 건설사업관리계획 심의 요청(남산 곤돌라 설치공사 건설사업관리용역)
3rd row사업수행능력 세부평가기준 검토 요청(남산 곤돌라 설치공사 건설사업관리용역)
4th row제140차-서울교통공사 4호선 미아~미아사거리역 등 4개구간 지하구조물 정밀안전진단 및 성능평가용역-정밀안전진단심의
5th row남산 생태환경 복원 기본계획
ValueCountFrequency (%)
및 1627
 
7.1%
기본 845
 
3.7%
실시설계 553
 
2.4%
정밀안전진단 535
 
2.3%
용역-용역발주심의 524
 
2.3%
용역-정밀안전진단심의 352
 
1.5%
용역 303
 
1.3%
등 229
 
1.0%
정밀안전진단용역-정밀안전진단심의 220
 
1.0%
실시설계용역-용역발주심의 167
 
0.7%
Other values (8109) 17571
76.6%
2024-05-10T22:45:11.188699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18341
 
11.3%
- 7997
 
4.9%
역 4866
 
3.0%
설 4810
 
3.0%
용 4477
 
2.8%
차 4281
 
2.6%
의 4127
 
2.5%
제 4045
 
2.5%
심 4001
 
2.5%
계 3721
 
2.3%
Other values (627) 102120
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120772
74.2%
Space Separator 18341
 
11.3%
Decimal Number 12426
 
7.6%
Dash Punctuation 7997
 
4.9%
Close Punctuation 1034
 
0.6%
Open Punctuation 1033
 
0.6%
Other Punctuation 376
 
0.2%
Uppercase Letter 376
 
0.2%
Math Symbol 258
 
0.2%
Lowercase Letter 167
 
0.1%
Other values (4) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 4866
 
4.0%
설 4810
 
4.0%
용 4477
 
3.7%
차 4281
 
3.5%
의 4127
 
3.4%
제 4045
 
3.3%
심 4001
 
3.3%
계 3721
 
3.1%
사 3404
 
2.8%
정 2640
 
2.2%
Other values (546) 80400
66.6%
Uppercase Letter
ValueCountFrequency (%)
C 69
18.4%
I 52
13.8%
T 33
8.8%
D 31
8.2%
S 28
7.4%
B 26
 
6.9%
A 24
 
6.4%
R 19
 
5.1%
O 15
 
4.0%
G 13
 
3.5%
Other values (12) 66
17.6%
Lowercase Letter
ValueCountFrequency (%)
s 20
12.0%
a 18
 
10.8%
e 15
 
9.0%
o 14
 
8.4%
t 13
 
7.8%
p 10
 
6.0%
l 10
 
6.0%
m 9
 
5.4%
i 6
 
3.6%
g 6
 
3.6%
Other values (12) 46
27.5%
Decimal Number
ValueCountFrequency (%)
1 3041
24.5%
2 2245
18.1%
3 1157
 
9.3%
4 1021
 
8.2%
0 967
 
7.8%
5 868
 
7.0%
9 805
 
6.5%
6 791
 
6.4%
7 769
 
6.2%
8 762
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 192
51.1%
? 68
 
18.1%
. 32
 
8.5%
& 23
 
6.1%
; 18
 
4.8%
/ 17
 
4.5%
# 14
 
3.7%
' 8
 
2.1%
？ 3
 
0.8%
: 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1018
98.5%
」 8
 
0.8%
』 5
 
0.5%
] 3
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 1017
98.5%
「 8
 
0.8%
『 5
 
0.5%
[ 3
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 252
97.7%
+ 5
 
1.9%
→ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
18341
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7997
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120770
74.2%
Common 41471
 
25.5%
Latin 543
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 4866
 
4.0%
설 4810
 
4.0%
용 4477
 
3.7%
차 4281
 
3.5%
의 4127
 
3.4%
제 4045
 
3.3%
심 4001
 
3.3%
계 3721
 
3.1%
사 3404
 
2.8%
정 2640
 
2.2%
Other values (544) 80398
66.6%
Latin
ValueCountFrequency (%)
C 69
 
12.7%
I 52
 
9.6%
T 33
 
6.1%
D 31
 
5.7%
S 28
 
5.2%
B 26
 
4.8%
A 24
 
4.4%
s 20
 
3.7%
R 19
 
3.5%
a 18
 
3.3%
Other values (34) 223
41.1%
Common
ValueCountFrequency (%)
18341
44.2%
- 7997
19.3%
1 3041
 
7.3%
2 2245
 
5.4%
3 1157
 
2.8%
4 1021
 
2.5%
) 1018
 
2.5%
( 1017
 
2.5%
0 967
 
2.3%
5 868
 
2.1%
Other values (27) 3799
 
9.2%
Han
ValueCountFrequency (%)
內 1
50.0%
舊 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120758
74.2%
ASCII 41982
 
25.8%
None 29
 
< 0.1%
Compat Jamo 12
 
< 0.1%
CJK 2
 
< 0.1%
Punctuation 2
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18341
43.7%
- 7997
19.0%
1 3041
 
7.2%
2 2245
 
5.3%
3 1157
 
2.8%
4 1021
 
2.4%
) 1018
 
2.4%
( 1017
 
2.4%
0 967
 
2.3%
5 868
 
2.1%
Other values (63) 4310
 
10.3%
Hangul
ValueCountFrequency (%)
역 4866
 
4.0%
설 4810
 
4.0%
용 4477
 
3.7%
차 4281
 
3.5%
의 4127
 
3.4%
제 4045
 
3.3%
심 4001
 
3.3%
계 3721
 
3.1%
사 3404
 
2.8%
정 2640
 
2.2%
Other values (542) 80386
66.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 10
83.3%
ㅇ 2
 
16.7%
None
ValueCountFrequency (%)
」 8
27.6%
「 8
27.6%
『 5
17.2%
』 5
17.2%
？ 3
 
10.3%
CJK
ValueCountFrequency (%)
內 1
50.0%
舊 1
50.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
Punctuation
ValueCountFrequency (%)
” 1
50.0%
“ 1
50.0%

위치
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4616
Missing (%)100.0%
Memory size40.7 KiB

공사기간
Text

MISSING 

Distinct1583
Distinct (%)81.3%
Missing2668
Missing (%)57.8%
Memory size36.2 KiB
2024-05-10T22:45:11.826920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length22.989733
Min length13

Characters and Unicode

Total characters44784
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1357 ?
Unique (%)69.7%

Sample

1st row2026-04-01 ~ 2028-12-31
2nd row2024-07-20 ~ 2026-02-20
3rd row2017-08-18 ~ 2023-12-04
4th row2026-01-01 ~ 2031-12-31
5th row2024-09-01 ~ 2027-02-28
ValueCountFrequency (%)
1948
33.3%
2015-12-31 60
 
1.0%
2012-12-31 55
 
0.9%
2018-12-31 49
 
0.8%
2014-12-31 43
 
0.7%
2013-12-31 43
 
0.7%
2010-12-31 40
 
0.7%
2017-12-31 38
 
0.7%
2022-12-31 38
 
0.7%
2021-12-31 37
 
0.6%
Other values (1323) 3491
59.8%
2024-05-10T22:45:12.824715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9616
21.5%
- 7788
17.4%
2 7594
17.0%
1 7146
16.0%
3896
8.7%
3 2484
 
5.5%
~ 1948
 
4.3%
9 868
 
1.9%
4 780
 
1.7%
5 759
 
1.7%
Other values (3) 1905
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31152
69.6%
Dash Punctuation 7788
 
17.4%
Space Separator 3896
 
8.7%
Math Symbol 1948
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9616
30.9%
2 7594
24.4%
1 7146
22.9%
3 2484
 
8.0%
9 868
 
2.8%
4 780
 
2.5%
5 759
 
2.4%
8 714
 
2.3%
6 660
 
2.1%
7 531
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 7788
100.0%
Space Separator
ValueCountFrequency (%)
3896
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1948
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44784
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9616
21.5%
- 7788
17.4%
2 7594
17.0%
1 7146
16.0%
3896
8.7%
3 2484
 
5.5%
~ 1948
 
4.3%
9 868
 
1.9%
4 780
 
1.7%
5 759
 
1.7%
Other values (3) 1905
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44784
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9616
21.5%
- 7788
17.4%
2 7594
17.0%
1 7146
16.0%
3896
8.7%
3 2484
 
5.5%
~ 1948
 
4.3%
9 868
 
1.9%
4 780
 
1.7%
5 759
 
1.7%
Other values (3) 1905
 
4.3%

용역기간
Text

MISSING 

Distinct2789
Distinct (%)81.5%
Missing1195
Missing (%)25.9%
Memory size36.2 KiB
2024-05-10T22:45:13.470196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters78683
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2379 ?
Unique (%)69.5%

Sample

1st row2024-09-02 ~ 2028-12-31
2nd row2024-07-01 ~ 2026-02-20
3rd row2024-07-01 ~ 2026-02-20
4th row2023-09-26 ~ 2024-07-05
5th row2024-07-01 ~ 2025-04-30
ValueCountFrequency (%)
3421
33.3%
2022-12-31 65
 
0.6%
2023-12-31 55
 
0.5%
2021-12-31 45
 
0.4%
2024-12-31 40
 
0.4%
2019-12-31 38
 
0.4%
2009-12-31 32
 
0.3%
2020-12-31 30
 
0.3%
2023-11-30 28
 
0.3%
2022-04-01 27
 
0.3%
Other values (2572) 6482
63.2%
2024-05-10T22:45:14.406497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16612
21.1%
2 14515
18.4%
- 13684
17.4%
1 10675
13.6%
6842
8.7%
3 3797
 
4.8%
~ 3421
 
4.3%
9 1780
 
2.3%
4 1769
 
2.2%
8 1582
 
2.0%
Other values (3) 4006
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54736
69.6%
Dash Punctuation 13684
 
17.4%
Space Separator 6842
 
8.7%
Math Symbol 3421
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16612
30.3%
2 14515
26.5%
1 10675
19.5%
3 3797
 
6.9%
9 1780
 
3.3%
4 1769
 
3.2%
8 1582
 
2.9%
5 1455
 
2.7%
6 1379
 
2.5%
7 1172
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 13684
100.0%
Space Separator
ValueCountFrequency (%)
6842
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3421
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 78683
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16612
21.1%
2 14515
18.4%
- 13684
17.4%
1 10675
13.6%
6842
8.7%
3 3797
 
4.8%
~ 3421
 
4.3%
9 1780
 
2.3%
4 1769
 
2.2%
8 1582
 
2.0%
Other values (3) 4006
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78683
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16612
21.1%
2 14515
18.4%
- 13684
17.4%
1 10675
13.6%
6842
8.7%
3 3797
 
4.8%
~ 3421
 
4.3%
9 1780
 
2.3%
4 1769
 
2.2%
8 1582
 
2.0%
Other values (3) 4006
 
5.1%

총공사비
Real number (ℝ)

SKEWED  ZEROS 

Distinct2899
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8938181 × 1010
Minimum0
Maximum5.99 × 1013
Zeros676
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size40.7 KiB
2024-05-10T22:45:14.833161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.401 × 108
median5.8994833 × 109
Q32.88075 × 1010
95-th percentile2.2536 × 1011
Maximum5.99 × 1013
Range5.99 × 1013
Interquartile range (IQR)2.85674 × 1010

Descriptive statistics

Standard deviation8.9760662 × 1011
Coefficient of variation (CV)15.229629
Kurtosis4283.657
Mean5.8938181 × 1010
Median Absolute Deviation (MAD)5.8994833 × 109
Skewness64.359202
Sum2.7205864 × 1014
Variance8.0569764 × 1023
MonotonicityNot monotonic
2024-05-10T22:45:15.295266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 676
 
14.6%
200000000 19
 
0.4%
500000000 19
 
0.4%
400000000 17
 
0.4%
3000000000 16
 
0.3%
1000000000 14
 
0.3%
2000000000 14
 
0.3%
1500000000 14
 
0.3%
300000000 13
 
0.3%
2800000000 12
 
0.3%
Other values (2889) 3802
82.4%
ValueCountFrequency (%)
0 676
14.6%
1 6
 
0.1%
33 1
 
< 0.1%
111 1
 
< 0.1%
223 1
 
< 0.1%
315 1
 
< 0.1%
318 1
 
< 0.1%
3000 1
 
< 0.1%
3008 1
 
< 0.1%
22671 1
 
< 0.1%
ValueCountFrequency (%)
59900000000000 1
 
< 0.1%
6520000000000 1
 
< 0.1%
3521176000000 1
 
< 0.1%
3481500000000 1
 
< 0.1%
2812600000000 1
 
< 0.1%
2614400000000 1
 
< 0.1%
1623916532339 2
< 0.1%
1306700000000 3
0.1%
1075906000000 1
 
< 0.1%
1000000000000 1
 
< 0.1%

금회공사비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4616
Missing (%)100.0%
Memory size40.7 KiB

설계자명
Text

MISSING 

Distinct1366
Distinct (%)60.2%
Missing2347
Missing (%)50.8%
Memory size36.2 KiB
2024-05-10T22:45:15.851926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length12.312032
Min length1

Characters and Unicode

Total characters27936
Distinct characters403
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

Unique1064 ?
Unique (%)46.9%

Sample

1st row주식회사 유신
2nd row(재)한국건설품질연구원 외 2개사
3rd row.
4th row(주)한국종합기술
5th row주식회사 유신
ValueCountFrequency (%)
외 195
 
5.4%
1개사 82
 
2.3%
주)한국시설안전연구원 66
 
1.8%
65
 
1.8%
재)한국건설품질연구원 57
 
1.6%
한국시설안전공단 55
 
1.5%
2개사 54
 
1.5%
주식회사 54
 
1.5%
주)유신 45
 
1.2%
주)한국국토안전연구원 43
 
1.2%
Other values (1289) 2923
80.3%
2024-05-10T22:45:16.861470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 1691
 
6.1%
( 1683
 
6.0%
주 1615
 
5.8%
1389
 
5.0%
사 1277
 
4.6%
엔 652
 
2.3%
한 649
 
2.3%
지 622
 
2.2%
건 619
 
2.2%
국 606
 
2.2%
Other values (393) 17133
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21862
78.3%
Close Punctuation 1692
 
6.1%
Open Punctuation 1684
 
6.0%
Space Separator 1389
 
5.0%
Other Punctuation 484
 
1.7%
Decimal Number 402
 
1.4%
Other Symbol 177
 
0.6%
Uppercase Letter 168
 
0.6%
Dash Punctuation 46
 
0.2%
Math Symbol 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1615
 
7.4%
사 1277
 
5.8%
엔 652
 
3.0%
한 649
 
3.0%
지 622
 
2.8%
건 619
 
2.8%
국 606
 
2.8%
어 575
 
2.6%
니 573
 
2.6%
링 572
 
2.6%
Other values (345) 14102
64.5%
Uppercase Letter
ValueCountFrequency (%)
E 28
16.7%
G 26
15.5%
N 26
15.5%
A 21
12.5%
C 16
9.5%
S 14
8.3%
D 9
 
5.4%
I 6
 
3.6%
P 6
 
3.6%
Q 5
 
3.0%
Other values (6) 11
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 178
44.3%
2 90
22.4%
3 49
 
12.2%
4 38
 
9.5%
0 22
 
5.5%
5 10
 
2.5%
7 6
 
1.5%
9 4
 
1.0%
6 4
 
1.0%
8 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
s 5
33.3%
k 4
26.7%
p 1
 
6.7%
m 1
 
6.7%
j 1
 
6.7%
t 1
 
6.7%
g 1
 
6.7%
n 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 439
90.7%
/ 14
 
2.9%
. 11
 
2.3%
: 10
 
2.1%
% 7
 
1.4%
& 3
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 1691
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1683
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1389
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
+ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22039
78.9%
Common 5714
 
20.5%
Latin 183
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1615
 
7.3%
사 1277
 
5.8%
엔 652
 
3.0%
한 649
 
2.9%
지 622
 
2.8%
건 619
 
2.8%
국 606
 
2.7%
어 575
 
2.6%
니 573
 
2.6%
링 572
 
2.6%
Other values (346) 14279
64.8%
Latin
ValueCountFrequency (%)
E 28
15.3%
G 26
14.2%
N 26
14.2%
A 21
11.5%
C 16
8.7%
S 14
7.7%
D 9
 
4.9%
I 6
 
3.3%
P 6
 
3.3%
s 5
 
2.7%
Other values (14) 26
14.2%
Common
ValueCountFrequency (%)
) 1691
29.6%
( 1683
29.5%
1389
24.3%
, 439
 
7.7%
1 178
 
3.1%
2 90
 
1.6%
3 49
 
0.9%
- 46
 
0.8%
4 38
 
0.7%
0 22
 
0.4%
Other values (13) 89
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21862
78.3%
ASCII 5897
 
21.1%
None 177
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 1691
28.7%
( 1683
28.5%
1389
23.6%
, 439
 
7.4%
1 178
 
3.0%
2 90
 
1.5%
3 49
 
0.8%
- 46
 
0.8%
4 38
 
0.6%
E 28
 
0.5%
Other values (37) 266
 
4.5%
Hangul
ValueCountFrequency (%)
주 1615
 
7.4%
사 1277
 
5.8%
엔 652
 
3.0%
한 649
 
3.0%
지 622
 
2.8%
건 619
 
2.8%
국 606
 
2.8%
어 575
 
2.6%
니 573
 
2.6%
링 572
 
2.6%
Other values (345) 14102
64.5%
None
ValueCountFrequency (%)
㈜ 177
100.0%

대표자
Text

MISSING 

Distinct797
Distinct (%)42.6%
Missing2747
Missing (%)59.5%
Memory size36.2 KiB
2024-05-10T22:45:17.481935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length3
Mean length4.2134831
Min length1

Characters and Unicode

Total characters7875
Distinct characters304
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique525 ?
Unique (%)28.1%

Sample

1st row박석성
2nd row김경식
3rd row.
4th row김치헌
5th row박석성
ValueCountFrequency (%)
62
 
2.7%
김인식 52
 
2.3%
안평기 40
 
1.8%
대표 40
 
1.8%
김인석 38
 
1.7%
미정 37
 
1.6%
이래철 36
 
1.6%
윤영조 34
 
1.5%
외 28
 
1.2%
박승우 28
 
1.2%
Other values (795) 1874
82.6%
2024-05-10T22:45:18.504866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 432
 
5.5%
423
 
5.4%
이 303
 
3.8%
정 227
 
2.9%
박 180
 
2.3%
영 176
 
2.2%
, 136
 
1.7%
성 134
 
1.7%
식 130
 
1.7%
기 129
 
1.6%
Other values (294) 5605
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6908
87.7%
Space Separator 423
 
5.4%
Other Punctuation 171
 
2.2%
Decimal Number 106
 
1.3%
Open Punctuation 90
 
1.1%
Close Punctuation 89
 
1.1%
Dash Punctuation 50
 
0.6%
Other Symbol 20
 
0.3%
Uppercase Letter 12
 
0.2%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 432
 
6.3%
이 303
 
4.4%
정 227
 
3.3%
박 180
 
2.6%
영 176
 
2.5%
성 134
 
1.9%
식 130
 
1.9%
기 129
 
1.9%
인 117
 
1.7%
석 114
 
1.7%
Other values (261) 4966
71.9%
Decimal Number
ValueCountFrequency (%)
1 47
44.3%
2 14
 
13.2%
0 13
 
12.3%
3 13
 
12.3%
4 6
 
5.7%
8 5
 
4.7%
5 4
 
3.8%
6 2
 
1.9%
7 1
 
0.9%
9 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
16.7%
E 2
16.7%
N 2
16.7%
G 2
16.7%
Q 1
8.3%
F 1
8.3%
B 1
8.3%
K 1
8.3%
Other Punctuation
ValueCountFrequency (%)
, 136
79.5%
: 12
 
7.0%
. 12
 
7.0%
/ 6
 
3.5%
* 3
 
1.8%
% 2
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
k 2
40.0%
s 2
40.0%
i 1
20.0%
Space Separator
ValueCountFrequency (%)
423
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6928
88.0%
Common 930
 
11.8%
Latin 17
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 432
 
6.2%
이 303
 
4.4%
정 227
 
3.3%
박 180
 
2.6%
영 176
 
2.5%
성 134
 
1.9%
식 130
 
1.9%
기 129
 
1.9%
인 117
 
1.7%
석 114
 
1.6%
Other values (262) 4986
72.0%
Common
ValueCountFrequency (%)
423
45.5%
, 136
 
14.6%
( 90
 
9.7%
) 89
 
9.6%
- 50
 
5.4%
1 47
 
5.1%
2 14
 
1.5%
0 13
 
1.4%
3 13
 
1.4%
: 12
 
1.3%
Other values (11) 43
 
4.6%
Latin
ValueCountFrequency (%)
S 2
11.8%
k 2
11.8%
s 2
11.8%
E 2
11.8%
N 2
11.8%
G 2
11.8%
Q 1
5.9%
F 1
5.9%
i 1
5.9%
B 1
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6900
87.6%
ASCII 947
 
12.0%
None 20
 
0.3%
Compat Jamo 8
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 432
 
6.3%
이 303
 
4.4%
정 227
 
3.3%
박 180
 
2.6%
영 176
 
2.6%
성 134
 
1.9%
식 130
 
1.9%
기 129
 
1.9%
인 117
 
1.7%
석 114
 
1.7%
Other values (259) 4958
71.9%
ASCII
ValueCountFrequency (%)
423
44.7%
, 136
 
14.4%
( 90
 
9.5%
) 89
 
9.4%
- 50
 
5.3%
1 47
 
5.0%
2 14
 
1.5%
0 13
 
1.4%
3 13
 
1.4%
: 12
 
1.3%
Other values (22) 60
 
6.3%
None
ValueCountFrequency (%)
㈜ 20
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 4
50.0%
ㅇ 4
50.0%

공사개요
Text

Distinct4446
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size36.2 KiB
2024-05-10T22:45:19.065820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length459
Mean length94.319974
Min length1

Characters and Unicode

Total characters435381
Distinct characters961
Distinct categories19 ?
Distinct scripts5 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4309 ?
Unique (%)93.3%

Sample

1st row위 치: 강북구 수유동 192-59 외 8필지 규 모: 대지면적 약 6,400㎡ / 연면적 65,531.55㎡ 용 도: 공공업무시설, 운동시설, 근린생활시설 등
2nd row곤돌라 제작 및 설치 (총연장 804m) - 중간지주 5개소 - 상/하부 승강장 각 1개소
3rd row곤돌라 제작 및 설치 (총연장 804m) - 중간지주 5개소 - 상/하부 승강장 각 1개소
4th row[용역구간] 4호선 미아~미아사거리역 등 4개구간 (L=5.224km)
5th row. 대상지 : 남산 . 용역기간 : 24.7.~25.4.(10개월) . 용역내용 : 남산 생태환경 복원 기본계획 수립 및 사업발굴
ValueCountFrequency (%)
12690
 
14.3%
및 2407
 
2.7%
등 1359
 
1.5%
○ 1211
 
1.4%
연장 729
 
0.8%
연면적 582
 
0.7%
용 503
 
0.6%
역 456
 
0.5%
설치 446
 
0.5%
정밀안전진단 440
 
0.5%
Other values (23275) 68118
76.6%
2024-05-10T22:45:20.305565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108404
24.9%
, 12375
 
2.8%
0 9778
 
2.2%
1 9263
 
2.1%
2 8127
 
1.9%
: 7599
 
1.7%
- 6246
 
1.4%
. 5625
 
1.3%
m 5005
 
1.1%
) 4992
 
1.1%
Other values (951) 257967
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 205659
47.2%
Space Separator 108407
24.9%
Decimal Number 54293
 
12.5%
Other Punctuation 30003
 
6.9%
Lowercase Letter 7520
 
1.7%
Dash Punctuation 6246
 
1.4%
Uppercase Letter 5266
 
1.2%
Close Punctuation 5082
 
1.2%
Open Punctuation 4889
 
1.1%
Other Symbol 3945
 
0.9%
Other values (9) 4071
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4991
 
2.4%
설 4960
 
2.4%
시 4225
 
2.1%
수 3886
 
1.9%
사 3612
 
1.8%
로 3492
 
1.7%
장 3427
 
1.7%
공 3370
 
1.6%
개 3350
 
1.6%
용 3332
 
1.6%
Other values (801) 167014
81.2%
Uppercase Letter
ValueCountFrequency (%)
L 1226
23.3%
B 621
11.8%
C 379
 
7.2%
D 364
 
6.9%
T 268
 
5.1%
S 250
 
4.7%
A 202
 
3.8%
E 197
 
3.7%
P 191
 
3.6%
V 168
 
3.2%
Other values (20) 1400
26.6%
Lowercase Letter
ValueCountFrequency (%)
m 5005
66.6%
k 969
 
12.9%
e 168
 
2.2%
a 152
 
2.0%
p 140
 
1.9%
o 126
 
1.7%
i 104
 
1.4%
t 103
 
1.4%
x 101
 
1.3%
h 97
 
1.3%
Other values (17) 555
 
7.4%
Other Symbol
ValueCountFrequency (%)
㎡ 1699
43.1%
○ 1595
40.4%
㎥ 281
 
7.1%
㎞ 150
 
3.8%
㎜ 67
 
1.7%
□ 50
 
1.3%
㈜ 28
 
0.7%
▣ 28
 
0.7%
㎢ 15
 
0.4%
● 8
 
0.2%
Other values (11) 24
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 12375
41.2%
: 7599
25.3%
. 5625
18.7%
/ 1361
 
4.5%
# 568
 
1.9%
? 558
 
1.9%
& 543
 
1.8%
; 542
 
1.8%
% 319
 
1.1%
* 183
 
0.6%
Other values (5) 330
 
1.1%
Math Symbol
ValueCountFrequency (%)
= 1777
46.8%
~ 1323
34.8%
× 310
 
8.2%
→ 232
 
6.1%
+ 74
 
1.9%
> 27
 
0.7%
< 16
 
0.4%
± 15
 
0.4%
⇒ 13
 
0.3%
↔ 4
 
0.1%
Other values (4) 10
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 9778
18.0%
1 9263
17.1%
2 8127
15.0%
3 4858
8.9%
5 4836
8.9%
4 4230
7.8%
6 3577
 
6.6%
8 3554
 
6.5%
7 3126
 
5.8%
9 2942
 
5.4%
Other Number
ValueCountFrequency (%)
① 30
27.3%
② 28
25.5%
③ 19
17.3%
² 18
16.4%
④ 10
 
9.1%
⑤ 3
 
2.7%
⑦ 1
 
0.9%
⑥ 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 4992
98.2%
] 53
 
1.0%
」 27
 
0.5%
』 7
 
0.1%
】 3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 4798
98.1%
[ 55
 
1.1%
「 26
 
0.5%
『 7
 
0.1%
【 3
 
0.1%
Modifier Symbol
ValueCountFrequency (%)
^ 7
50.0%
` 5
35.7%
´ 2
 
14.3%
Space Separator
ValueCountFrequency (%)
108404
> 99.9%
　 3
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
’ 75
93.8%
” 5
 
6.2%
Initial Punctuation
ValueCountFrequency (%)
‘ 31
77.5%
“ 9
 
22.5%
Dash Punctuation
ValueCountFrequency (%)
- 6246
100.0%
Control
ValueCountFrequency (%)
20
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Currency Symbol
ValueCountFrequency (%)
￦ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 216906
49.8%
Hangul 205677
47.2%
Latin 12782
 
2.9%
Han 11
 
< 0.1%
Greek 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4991
 
2.4%
설 4960
 
2.4%
시 4225
 
2.1%
수 3886
 
1.9%
사 3612
 
1.8%
로 3492
 
1.7%
장 3427
 
1.7%
공 3370
 
1.6%
개 3350
 
1.6%
용 3332
 
1.6%
Other values (796) 167032
81.2%
Common
ValueCountFrequency (%)
108404
50.0%
, 12375
 
5.7%
0 9778
 
4.5%
1 9263
 
4.3%
2 8127
 
3.7%
: 7599
 
3.5%
- 6246
 
2.9%
. 5625
 
2.6%
) 4992
 
2.3%
3 4858
 
2.2%
Other values (80) 39639
 
18.3%
Latin
ValueCountFrequency (%)
m 5005
39.2%
L 1226
 
9.6%
k 969
 
7.6%
B 621
 
4.9%
C 379
 
3.0%
D 364
 
2.8%
T 268
 
2.1%
S 250
 
2.0%
A 202
 
1.6%
E 197
 
1.5%
Other values (46) 3301
25.8%
Han
ValueCountFrequency (%)
舊 3
27.3%
現 2
18.2%
區 2
18.2%
內 1
 
9.1%
移 1
 
9.1%
動 1
 
9.1%
權 1
 
9.1%
Greek
ValueCountFrequency (%)
Φ 3
60.0%
Χ 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 224666
51.6%
Hangul 205390
47.2%
CJK Compat 2224
 
0.5%
Geometric Shapes 1694
 
0.4%
None 623
 
0.1%
Compat Jamo 258
 
0.1%
Arrows 253
 
0.1%
Punctuation 167
 
< 0.1%
Enclosed Alphanum 92
 
< 0.1%
CJK 11
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108404
48.3%
, 12375
 
5.5%
0 9778
 
4.4%
1 9263
 
4.1%
2 8127
 
3.6%
: 7599
 
3.4%
- 6246
 
2.8%
. 5625
 
2.5%
m 5005
 
2.2%
) 4992
 
2.2%
Other values (79) 47252
21.0%
Hangul
ValueCountFrequency (%)
지 4991
 
2.4%
설 4960
 
2.4%
시 4225
 
2.1%
수 3886
 
1.9%
사 3612
 
1.8%
로 3492
 
1.7%
장 3427
 
1.7%
공 3370
 
1.6%
개 3350
 
1.6%
용 3332
 
1.6%
Other values (784) 166745
81.2%
CJK Compat
ValueCountFrequency (%)
㎡ 1699
76.4%
㎥ 281
 
12.6%
㎞ 150
 
6.7%
㎜ 67
 
3.0%
㎢ 15
 
0.7%
㎸ 7
 
0.3%
㎾ 2
 
0.1%
㎈ 1
 
< 0.1%
㏊ 1
 
< 0.1%
㎘ 1
 
< 0.1%
Geometric Shapes
ValueCountFrequency (%)
○ 1595
94.2%
□ 50
 
3.0%
▣ 28
 
1.7%
● 8
 
0.5%
△ 4
 
0.2%
▷ 4
 
0.2%
◇ 2
 
0.1%
■ 2
 
0.1%
▶ 1
 
0.1%
None
ValueCountFrequency (%)
× 310
49.8%
？ 149
23.9%
㈜ 28
 
4.5%
」 27
 
4.3%
「 26
 
4.2%
² 18
 
2.9%
± 15
 
2.4%
Ø 10
 
1.6%
』 7
 
1.1%
『 7
 
1.1%
Other values (12) 26
 
4.2%
Arrows
ValueCountFrequency (%)
→ 232
91.7%
⇒ 13
 
5.1%
↔ 4
 
1.6%
⇔ 4
 
1.6%
Compat Jamo
ValueCountFrequency (%)
ㅇ 194
75.2%
ㆍ 39
 
15.1%
ㅁ 10
 
3.9%
ㅣ 8
 
3.1%
ㅐ 2
 
0.8%
ㅈ 1
 
0.4%
ㄱ 1
 
0.4%
ㅠ 1
 
0.4%
ㅜ 1
 
0.4%
ㄷ 1
 
0.4%
Punctuation
ValueCountFrequency (%)
’ 75
44.9%
※ 42
25.1%
‘ 31
18.6%
“ 9
 
5.4%
” 5
 
3.0%
′ 5
 
3.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 30
32.6%
② 28
30.4%
③ 19
20.7%
④ 10
 
10.9%
⑤ 3
 
3.3%
⑦ 1
 
1.1%
⑥ 1
 
1.1%
CJK
ValueCountFrequency (%)
舊 3
27.3%
現 2
18.2%
區 2
18.2%
內 1
 
9.1%
移 1
 
9.1%
動 1
 
9.1%
權 1
 
9.1%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%
Math Operators
ValueCountFrequency (%)
≒ 1
50.0%
∽ 1
50.0%

요청부서
Text

Distinct823
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Memory size36.2 KiB
2024-05-10T22:45:20.898636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length14.714905
Min length2

Characters and Unicode

Total characters67924
Distinct characters259
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique354 ?
Unique (%)7.7%

Sample

1st row강북구 행정안전국
2nd row도시기반시설본부 시설국 토목부
3rd row도시기반시설본부 시설국 토목부
4th row토목처
5th row푸른도시여가국 자연생태과
ValueCountFrequency (%)
도시기반시설본부 813
 
7.1%
시설국 394
 
3.4%
안전총괄관 294
 
2.6%
치수과 291
 
2.5%
상수도사업본부 284
 
2.5%
물순환안전국 266
 
2.3%
토목부 241
 
2.1%
건설교통국 217
 
1.9%
시설안전국 213
 
1.9%
건축부 198
 
1.7%
Other values (660) 8260
72.0%
2024-05-10T22:45:22.029443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6857
 
10.1%
시 4812
 
7.1%
도 3976
 
5.9%
부 3450
 
5.1%
설 3111
 
4.6%
과 2987
 
4.4%
국 2183
 
3.2%
전 2014
 
3.0%
본 2009
 
3.0%
안 1854
 
2.7%
Other values (249) 34671
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60787
89.5%
Space Separator 6857
 
10.1%
Uppercase Letter 74
 
0.1%
Decimal Number 68
 
0.1%
Open Punctuation 67
 
0.1%
Close Punctuation 67
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4812
 
7.9%
도 3976
 
6.5%
부 3450
 
5.7%
설 3111
 
5.1%
과 2987
 
4.9%
국 2183
 
3.6%
전 2014
 
3.3%
본 2009
 
3.3%
안 1854
 
3.0%
관 1829
 
3.0%
Other values (231) 32562
53.6%
Decimal Number
ValueCountFrequency (%)
2 29
42.6%
1 28
41.2%
3 6
 
8.8%
9 2
 
2.9%
0 1
 
1.5%
6 1
 
1.5%
4 1
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
S 34
45.9%
H 30
40.5%
C 4
 
5.4%
P 4
 
5.4%
T 1
 
1.4%
F 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
h 2
50.0%
s 2
50.0%
Space Separator
ValueCountFrequency (%)
6857
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60787
89.5%
Common 7059
 
10.4%
Latin 78
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4812
 
7.9%
도 3976
 
6.5%
부 3450
 
5.7%
설 3111
 
5.1%
과 2987
 
4.9%
국 2183
 
3.6%
전 2014
 
3.3%
본 2009
 
3.3%
안 1854
 
3.0%
관 1829
 
3.0%
Other values (231) 32562
53.6%
Common
ValueCountFrequency (%)
6857
97.1%
( 67
 
0.9%
) 67
 
0.9%
2 29
 
0.4%
1 28
 
0.4%
3 6
 
0.1%
9 2
 
< 0.1%
0 1
 
< 0.1%
6 1
 
< 0.1%
4 1
 
< 0.1%
Latin
ValueCountFrequency (%)
S 34
43.6%
H 30
38.5%
C 4
 
5.1%
P 4
 
5.1%
h 2
 
2.6%
s 2
 
2.6%
T 1
 
1.3%
F 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60787
89.5%
ASCII 7137
 
10.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6857
96.1%
( 67
 
0.9%
) 67
 
0.9%
S 34
 
0.5%
H 30
 
0.4%
2 29
 
0.4%
1 28
 
0.4%
3 6
 
0.1%
C 4
 
0.1%
P 4
 
0.1%
Other values (8) 11
 
0.2%
Hangul
ValueCountFrequency (%)
시 4812
 
7.9%
도 3976
 
6.5%
부 3450
 
5.7%
설 3111
 
5.1%
과 2987
 
4.9%
국 2183
 
3.6%
전 2014
 
3.3%
본 2009
 
3.3%
안 1854
 
3.0%
관 1829
 
3.0%
Other values (231) 32562
53.6%

요청자
Text

Distinct1878
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Memory size36.2 KiB
2024-05-10T22:45:22.837438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length3
Mean length3.0168977
Min length2

Characters and Unicode

Total characters13926
Distinct characters263
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

Unique926 ?
Unique (%)20.1%

Sample

1st row조성진
2nd row윤욱일
3rd row윤욱일
4th row신학재
5th row김영미
ValueCountFrequency (%)
신학재 43
 
0.9%
정용훈 31
 
0.7%
장기덕 27
 
0.6%
김상익 26
 
0.6%
이승찬 26
 
0.6%
김재윤 25
 
0.5%
신상형 24
 
0.5%
황원근 22
 
0.5%
곽인복 20
 
0.4%
최혜경 20
 
0.4%
Other values (1871) 4359
94.3%
2024-05-10T22:45:23.855573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 956
 
6.9%
이 757
 
5.4%
정 426
 
3.1%
박 372
 
2.7%
현 335
 
2.4%
영 317
 
2.3%
성 280
 
2.0%
재 279
 
2.0%
수 276
 
2.0%
상 272
 
2.0%
Other values (253) 9656
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13856
99.5%
Lowercase Letter 34
 
0.2%
Uppercase Letter 20
 
0.1%
Space Separator 7
 
0.1%
Math Symbol 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Decimal Number 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 956
 
6.9%
이 757
 
5.5%
정 426
 
3.1%
박 372
 
2.7%
현 335
 
2.4%
영 317
 
2.3%
성 280
 
2.0%
재 279
 
2.0%
수 276
 
2.0%
상 272
 
2.0%
Other values (223) 9586
69.2%
Lowercase Letter
ValueCountFrequency (%)
o 6
17.6%
r 5
14.7%
e 3
8.8%
c 3
8.8%
m 3
8.8%
t 2
 
5.9%
n 2
 
5.9%
p 2
 
5.9%
i 2
 
5.9%
x 1
 
2.9%
Other values (5) 5
14.7%
Uppercase Letter
ValueCountFrequency (%)
S 5
25.0%
B 5
25.0%
P 4
20.0%
C 4
20.0%
A 1
 
5.0%
H 1
 
5.0%
Math Symbol
ValueCountFrequency (%)
= 2
50.0%
< 1
25.0%
> 1
25.0%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13856
99.5%
Latin 54
 
0.4%
Common 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 956
 
6.9%
이 757
 
5.5%
정 426
 
3.1%
박 372
 
2.7%
현 335
 
2.4%
영 317
 
2.3%
성 280
 
2.0%
재 279
 
2.0%
수 276
 
2.0%
상 272
 
2.0%
Other values (223) 9586
69.2%
Latin
ValueCountFrequency (%)
o 6
11.1%
r 5
 
9.3%
S 5
 
9.3%
B 5
 
9.3%
P 4
 
7.4%
C 4
 
7.4%
e 3
 
5.6%
c 3
 
5.6%
m 3
 
5.6%
t 2
 
3.7%
Other values (11) 14
25.9%
Common
ValueCountFrequency (%)
7
43.8%
= 2
 
12.5%
1 1
 
6.2%
' 1
 
6.2%
< 1
 
6.2%
( 1
 
6.2%
. 1
 
6.2%
) 1
 
6.2%
> 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13856
99.5%
ASCII 70
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 956
 
6.9%
이 757
 
5.5%
정 426
 
3.1%
박 372
 
2.7%
현 335
 
2.4%
영 317
 
2.3%
성 280
 
2.0%
재 279
 
2.0%
수 276
 
2.0%
상 272
 
2.0%
Other values (223) 9586
69.2%
ASCII
ValueCountFrequency (%)
7
 
10.0%
o 6
 
8.6%
r 5
 
7.1%
S 5
 
7.1%
B 5
 
7.1%
P 4
 
5.7%
C 4
 
5.7%
e 3
 
4.3%
c 3
 
4.3%
m 3
 
4.3%
Other values (20) 25
35.7%

요청일
Date

Distinct2404
Distinct (%)52.1%
Missing0
Missing (%)0.0%
Memory size36.2 KiB
Minimum2008-01-02 00:00:00
Maximum2024-05-09 00:00:00
2024-05-10T22:45:24.296919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:45:24.781781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수일
Date

MISSING 

Distinct2106
Distinct (%)54.7%
Missing768
Missing (%)16.6%
Memory size36.2 KiB
Minimum2008-01-14 00:00:00
Maximum2024-05-09 00:00:00
2024-05-10T22:45:25.231442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:45:25.791454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

조치내용서 제출일자
Date

MISSING 

Distinct618
Distinct (%)74.4%
Missing3785
Missing (%)82.0%
Memory size36.2 KiB
Minimum2008-02-18 00:00:00
Maximum2021-04-19 00:00:00
2024-05-10T22:45:26.320229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:45:27.179162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

조치내용서 내용요약
Text

MISSING 

Distinct186
Distinct (%)60.0%
Missing4306
Missing (%)93.3%
Memory size36.2 KiB
2024-05-10T22:45:27.769304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length68
Mean length17.151613
Min length2

Characters and Unicode

Total characters5317
Distinct characters253
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)49.0%

Sample

1st row심의위원별 지적사항을 반영하는 것으로 조치
2nd row심의위원별 지적사항을 반영하는 것으로 조치
3rd row심의위원별 지적사항을 반영하는 것으로 조치
4th row심의위원별 지적사항을 반영하는 것으로 조치
5th row심의위원별 지적사항을 반영하는 것으로 조치
ValueCountFrequency (%)
반영 173
 
13.6%
지적사항 72
 
5.7%
심의위원 61
 
4.8%
조치 60
 
4.7%
지적사항을 55
 
4.3%
심의위원별 51
 
4.0%
것으로 38
 
3.0%
반영하는 37
 
2.9%
위원별 28
 
2.2%
모두 21
 
1.6%
Other values (346) 678
53.2%
2024-05-10T22:45:28.805675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
970
18.2%
의 319
 
6.0%
영 273
 
5.1%
반 272
 
5.1%
원 206
 
3.9%
위 205
 
3.9%
사 201
 
3.8%
항 186
 
3.5%
심 176
 
3.3%
지 162
 
3.0%
Other values (243) 2347
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4093
77.0%
Space Separator 970
 
18.2%
Decimal Number 141
 
2.7%
Other Punctuation 33
 
0.6%
Close Punctuation 25
 
0.5%
Open Punctuation 25
 
0.5%
Dash Punctuation 12
 
0.2%
Lowercase Letter 7
 
0.1%
Uppercase Letter 6
 
0.1%
Math Symbol 2
 
< 0.1%
Other values (3) 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 319
 
7.8%
영 273
 
6.7%
반 272
 
6.6%
원 206
 
5.0%
위 205
 
5.0%
사 201
 
4.9%
항 186
 
4.5%
심 176
 
4.3%
지 162
 
4.0%
적 158
 
3.9%
Other values (215) 1935
47.3%
Decimal Number
ValueCountFrequency (%)
2 25
17.7%
1 24
17.0%
3 18
12.8%
4 12
8.5%
8 12
8.5%
5 12
8.5%
0 11
7.8%
7 10
 
7.1%
6 9
 
6.4%
9 8
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
g 2
28.6%
n 2
28.6%
i 2
28.6%
p 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 21
63.6%
. 11
33.3%
: 1
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
F 2
33.3%
R 2
33.3%
S 2
33.3%
Space Separator
ValueCountFrequency (%)
970
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
○ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4093
77.0%
Common 1211
 
22.8%
Latin 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 319
 
7.8%
영 273
 
6.7%
반 272
 
6.6%
원 206
 
5.0%
위 205
 
5.0%
사 201
 
4.9%
항 186
 
4.5%
심 176
 
4.3%
지 162
 
4.0%
적 158
 
3.9%
Other values (215) 1935
47.3%
Common
ValueCountFrequency (%)
970
80.1%
2 25
 
2.1%
) 25
 
2.1%
( 25
 
2.1%
1 24
 
2.0%
, 21
 
1.7%
3 18
 
1.5%
- 12
 
1.0%
4 12
 
1.0%
8 12
 
1.0%
Other values (11) 67
 
5.5%
Latin
ValueCountFrequency (%)
F 2
15.4%
R 2
15.4%
S 2
15.4%
g 2
15.4%
n 2
15.4%
i 2
15.4%
p 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4093
77.0%
ASCII 1221
 
23.0%
Punctuation 2
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
970
79.4%
2 25
 
2.0%
) 25
 
2.0%
( 25
 
2.0%
1 24
 
2.0%
, 21
 
1.7%
3 18
 
1.5%
- 12
 
1.0%
4 12
 
1.0%
8 12
 
1.0%
Other values (15) 77
 
6.3%
Hangul
ValueCountFrequency (%)
의 319
 
7.8%
영 273
 
6.7%
반 272
 
6.6%
원 206
 
5.0%
위 205
 
5.0%
사 201
 
4.9%
항 186
 
4.5%
심 176
 
4.3%
지 162
 
4.0%
적 158
 
3.9%
Other values (215) 1935
47.3%
Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%
Punctuation
ValueCountFrequency (%)
” 1
50.0%
“ 1
50.0%

조치결과서 제출일자
Date

MISSING 

Distinct919
Distinct (%)69.5%
Missing3293
Missing (%)71.3%
Memory size36.2 KiB
Minimum2010-02-01 00:00:00
Maximum2024-05-03 00:00:00
2024-05-10T22:45:29.236165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:45:29.655874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

조치결과서
Text

MISSING 

Distinct462
Distinct (%)59.9%
Missing3845
Missing (%)83.3%
Memory size36.2 KiB
2024-05-10T22:45:30.276971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length176
Median length74
Mean length14.894942
Min length1

Characters and Unicode

Total characters11484
Distinct characters269
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique373 ?
Unique (%)48.4%

Sample

1st row심의위원 의견 반영
2nd row심의위원 의견 반
3rd row심의의견 반영
4th row심의결과 28건 반영
5th row심의의견 17건 반영
ValueCountFrequency (%)
반영 519
 
17.7%
심의위원 174
 
5.9%
채택의견 140
 
4.8%
모두 99
 
3.4%
지적사항 90
 
3.1%
조치 85
 
2.9%
심의위원별 78
 
2.7%
의견 71
 
2.4%
55
 
1.9%
위원별 48
 
1.6%
Other values (559) 1570
53.6%
2024-05-10T22:45:31.492058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2202
19.2%
의 947
 
8.2%
반 685
 
6.0%
영 679
 
5.9%
심 497
 
4.3%
원 383
 
3.3%
위 382
 
3.3%
견 367
 
3.2%
건 346
 
3.0%
사 243
 
2.1%
Other values (259) 4753
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8398
73.1%
Space Separator 2202
 
19.2%
Decimal Number 686
 
6.0%
Other Punctuation 76
 
0.7%
Open Punctuation 35
 
0.3%
Close Punctuation 35
 
0.3%
Dash Punctuation 33
 
0.3%
Lowercase Letter 7
 
0.1%
Other Symbol 4
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 947
 
11.3%
반 685
 
8.2%
영 679
 
8.1%
심 497
 
5.9%
원 383
 
4.6%
위 382
 
4.5%
견 367
 
4.4%
건 346
 
4.1%
사 243
 
2.9%
조 237
 
2.8%
Other values (226) 3632
43.2%
Decimal Number
ValueCountFrequency (%)
1 126
18.4%
3 80
11.7%
2 78
11.4%
4 76
11.1%
5 63
9.2%
7 62
9.0%
0 61
8.9%
6 55
8.0%
9 45
 
6.6%
8 40
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 29
38.2%
: 28
36.8%
. 14
18.4%
; 2
 
2.6%
& 1
 
1.3%
# 1
 
1.3%
% 1
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
c 3
42.9%
d 1
 
14.3%
o 1
 
14.3%
s 1
 
14.3%
p 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
25.0%
S 1
25.0%
K 1
25.0%
M 1
25.0%
Space Separator
ValueCountFrequency (%)
2202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Symbol
ValueCountFrequency (%)
□ 4
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8398
73.1%
Common 3075
 
26.8%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 947
 
11.3%
반 685
 
8.2%
영 679
 
8.1%
심 497
 
5.9%
원 383
 
4.6%
위 382
 
4.5%
견 367
 
4.4%
건 346
 
4.1%
사 243
 
2.9%
조 237
 
2.8%
Other values (226) 3632
43.2%
Common
ValueCountFrequency (%)
2202
71.6%
1 126
 
4.1%
3 80
 
2.6%
2 78
 
2.5%
4 76
 
2.5%
5 63
 
2.0%
7 62
 
2.0%
0 61
 
2.0%
6 55
 
1.8%
9 45
 
1.5%
Other values (14) 227
 
7.4%
Latin
ValueCountFrequency (%)
c 3
27.3%
d 1
 
9.1%
o 1
 
9.1%
G 1
 
9.1%
s 1
 
9.1%
p 1
 
9.1%
S 1
 
9.1%
K 1
 
9.1%
M 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8398
73.1%
ASCII 3078
 
26.8%
Geometric Shapes 4
 
< 0.1%
Punctuation 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2202
71.5%
1 126
 
4.1%
3 80
 
2.6%
2 78
 
2.5%
4 76
 
2.5%
5 63
 
2.0%
7 62
 
2.0%
0 61
 
2.0%
6 55
 
1.8%
9 45
 
1.5%
Other values (20) 230
 
7.5%
Hangul
ValueCountFrequency (%)
의 947
 
11.3%
반 685
 
8.2%
영 679
 
8.1%
심 497
 
5.9%
원 383
 
4.6%
위 382
 
4.5%
견 367
 
4.4%
건 346
 
4.1%
사 243
 
2.9%
조 237
 
2.8%
Other values (226) 3632
43.2%
Geometric Shapes
ValueCountFrequency (%)
□ 4
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
50.0%
‘ 2
50.0%

조치결과서 결과요약
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
False
3293 
True
1323 
ValueCountFrequency (%)
False 3293
71.3%
True 1323
28.7%
2024-05-10T22:45:31.841648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

진행상태
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.2 KiB
완료
2548 
진행
1061 
요청
659 
완료요청
 
238
등록
 
110

Length

Max length4
Median length2
Mean length2.1031196
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row진행
2nd row요청
3rd row요청
4th row진행
5th row등록

Common Values

ValueCountFrequency (%)
완료 2548
55.2%
진행 1061
23.0%
요청 659
 
14.3%
완료요청 238
 
5.2%
등록 110
 
2.4%

Length

2024-05-10T22:45:32.110332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:45:32.359115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완료 2548
55.2%
진행 1061
23.0%
요청 659
 
14.3%
완료요청 238
 
5.2%
등록 110
 
2.4%

다음진행심의
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4616
Missing (%)100.0%
Memory size40.7 KiB

Sample

연도요청번호기관구분사업명사업부서명사업분야명심의구분심의요청구분세부분야공사구분공사명위치공사기간용역기간총공사비금회공사비설계자명대표자공사개요요청부서요청자요청일접수일조치내용서 제출일자조치내용서 내용요약조치결과서 제출일자조치결과서조치결과서 결과요약진행상태다음진행심의
02024204자치구「강북구 신청사건립사업」 건설사업관리용역(감독권한대행)강북구건축건설사업관리계획심의최초요청공공청사CONCLASS003제143차-「강북구 신청사건립사업」 건설사업관리용역(감독권한대행)-건설사업관리계획심의<NA>2026-04-01 ~ 2028-12-312024-09-02 ~ 2028-12-31262653000000<NA><NA><NA>위 치: 강북구 수유동 192-59 외 8필지 규 모: 대지면적 약 6,400㎡ / 연면적 65,531.55㎡ 용 도: 공공업무시설, 운동시설, 근린생활시설 등강북구 행정안전국조성진2024-05-092024-05-09<NA><NA><NA><NA>N진행<NA>
12024202서울시시공단계의 건설사업관리계획 심의 요청(남산 곤돌라 설치공사 건설사업관리용역)서울특별시토목건설사업관리계획심의최초요청기타CONCLASS001시공단계의 건설사업관리계획 심의 요청(남산 곤돌라 설치공사 건설사업관리용역)<NA>2024-07-20 ~ 2026-02-202024-07-01 ~ 2026-02-2040019000000<NA><NA><NA>곤돌라 제작 및 설치 (총연장 804m) - 중간지주 5개소 - 상/하부 승강장 각 1개소도시기반시설본부 시설국 토목부윤욱일2024-05-08<NA><NA><NA><NA><NA>N요청<NA>
22024203서울시사업수행능력 세부평가기준 검토 요청(남산 곤돌라 설치공사 건설사업관리용역)서울특별시토목사업수행능력평가기준심의최초요청기타<NA>사업수행능력 세부평가기준 검토 요청(남산 곤돌라 설치공사 건설사업관리용역)<NA><NA>2024-07-01 ~ 2026-02-200<NA>주식회사 유신박석성곤돌라 제작 및 설치 (총연장 804m) - 중간지주 5개소 - 상/하부 승강장 각 1개소도시기반시설본부 시설국 토목부윤욱일2024-05-08<NA><NA><NA><NA><NA>N요청<NA>
32024201공사공단서울교통공사 4호선 미아~미아사거리역 등 4개구간 지하구조물 정밀안전진단 및 성능평가용역서울교통공사토목정밀안전진단심의최초요청지하철<NA>제140차-서울교통공사 4호선 미아~미아사거리역 등 4개구간 지하구조물 정밀안전진단 및 성능평가용역-정밀안전진단심의<NA><NA>2023-09-26 ~ 2024-07-050<NA>(재)한국건설품질연구원 외 2개사김경식[용역구간] 4호선 미아~미아사거리역 등 4개구간 (L=5.224km)토목처신학재2024-05-072024-05-07<NA><NA><NA><NA>N진행<NA>
42024200서울시남산 생태환경 복원 기본계획서울특별시조경?산림용역발주심의최초요청<NA>CONCLASS005남산 생태환경 복원 기본계획<NA><NA>2024-07-01 ~ 2025-04-300<NA>... 대상지 : 남산 . 용역기간 : 24.7.~25.4.(10개월) . 용역내용 : 남산 생태환경 복원 기본계획 수립 및 사업발굴푸른도시여가국 자연생태과김영미2024-05-05<NA><NA><NA><NA><NA>N등록<NA>
52024199서울시난지물재생센터 환경개선사업 감독권한대행 등 건설사업관리용역-건설엔지니어링평가서울특별시토목건설엔지니어링및시공평가최초요청상ㆍ하수도CONCLASS008제139차-난지물재생센터 환경개선사업 감독권한대행 등 건설사업관리용역-건설엔지니어링평가<NA>2017-08-18 ~ 2023-12-042016-11-23 ~ 2023-12-146507050000<NA>(주)한국종합기술김치헌○ 공 사 명 : 난지물재생센터 환경개선사업 ○ 공사규모 : 구내도로(1.32km) 개설, 탈취기 기초 설치, 식재 등 조경 ○ 공사기간 : ’17. 8.18. ~ ’23.12. 4.(2차 ’19. 1.19. ~ ’23.12. 4.) ○ 공 사 비 : 6,507백만원 ○ 건설사업관리/시공사 : ㈜한국종합기술 외 2/(주)고려디앤엘 외 2도시기반시설본부 시설국 방재시설부송종흔2024-05-032024-05-03<NA><NA><NA><NA>N진행<NA>
62024198서울시우이신설 연장선 도시철도 건설공사서울특별시토목공사기간 적정성 심의최초요청지하철CONCLASS001제137차-우이신설 연장선 도시철도 건설공사-공사기간 적정성 심의<NA>2026-01-01 ~ 2031-12-312021-03-29 ~ 2024-06-29301800000000<NA>주식회사 유신박석성경량전철, 연장 3.93m, 정거장 3개소, 환기구 4개소도시기반시설본부 도시철도국 도시철도설계부이민호2024-05-022024-05-03<NA><NA><NA><NA>N진행<NA>
72024197서울시서소문고가 개축(성능개선) 실시설계 용역서울특별시토목공사기간 적정성 심의최초요청도로CONCLASS006제142차-서소문고가 개축(성능개선) 실시설계 용역-공사기간 적정성 심의<NA>2024-09-01 ~ 2027-02-282022-11-01 ~ 2024-06-2845800000000<NA>(주)유신외박석성고가차도 철거 및 재가설(왕복 4차로, 폭 15m, 연장 570m)도시기반시설본부 시설국 토목부박성근2024-04-302024-05-07<NA><NA><NA><NA>N진행<NA>
82024196자치구가산동 생활권공원 지하공영주차장 건설 기본 및 실시설계용역금천구토목용역발주심의최초요청기타<NA>제133차-가산동 생활권공원 지하공영주차장 건설 기본 및 실시설계용역-용역발주심의<NA><NA>2024-06-28 ~ 2024-12-31386310000<NA><NA><NA>○용 역 명 : 가산동 생활권공원 지하공영주차장 건설 기본 및 실시설계용역 ○용 역 비 : 386백만원 ○용역기간 : 착수일로부터 180일 ○사업규모 : 주차장 건설 36면 (지하1~2층) (부지면적 : 903.5㎡, 연면적 : 약 1,360㎡)금천구 교통건설국 도로과송재경2024-04-292024-04-29<NA><NA><NA><NA>N진행<NA>
92024195서울시반포천2복개 외 2개소 정밀안전진단(점검) 및 실태조사용서울특별시토목정밀안전진단심의최초요청도로<NA>제138차-반포천2복개 외 2개소 정밀안전진단(점검) 및 실태조사용-정밀안전진단심의<NA><NA>2023-04-19 ~ 2024-06-300<NA>에스큐엔지니어링(주)이래철반포천2복개 및 영동1교 정밀안전진단도로사업소 남부도로사업소 시설보수과지종삼2024-04-292024-05-03<NA><NA><NA><NA>N진행<NA>
연도요청번호기관구분사업명사업부서명사업분야명심의구분심의요청구분세부분야공사구분공사명위치공사기간용역기간총공사비금회공사비설계자명대표자공사개요요청부서요청자요청일접수일조치내용서 제출일자조치내용서 내용요약조치결과서 제출일자조치결과서조치결과서 결과요약진행상태다음진행심의
460620089서울시중앙버스전용차로 기능개선공사 기본 및 실시설계 용역서울특별시토목용역발주심의최초요청도로CONCLASS003제7차-중앙버스전용차로 기능개선공사 기본 및 실시설계 용역-용역발주심의<NA>2008-09-09 ~ 2009-12-302008-02-05 ~ 2009-02-245600000000<NA><NA><NA>- 중앙버스전용차로 시행 구간의 버스서비스 제고를 위한 기능 개선(혼잡정류소 개선 등) - 중앙버스전용차로 개통 이후의 교통여건변화를 고려한 지점별/교차로별 교통처리대책 수립 - 지역접근성, 소통개선을 위한 이면도로 개설 및 연계도로 재정비 계획 수립도시교통본부 도로기획관 도로교통시설담당관김진구2008-01-232008-01-242008-02-18 00:00:00.0<NA><NA><NA>N완료<NA>
460720087서울시암사취수장~하남시계 자전거도로 연결 기본및 실시설계 용역서울특별시토목용역발주심의최초요청도로CONCLASS003제5차-암사취수장~하남시계 자전거도로 연결 기본및 실시설계 용역-용역발주심의<NA><NA>2008-04-01 ~ 2008-12-318545000000<NA><NA><NA>자전거도로 연결 B=4~6m, L=4.18km한강사업본부 시설관리부 시설과권혁정2008-01-232008-01-23<NA><NA><NA><NA>N완료<NA>
460820088서울시여의도샛강 생태공원 조성사업 기본 및 실시설계용역서울특별시조경?산림설계심의최초요청<NA>CONCLASS003제6차-여의도샛강 생태공원 조성사업 기본 및 실시설계용역-설계심의<NA>2008-05-01 ~ 2009-12-312007-07-02 ~ 2008-04-2769393000000<NA>(주)선진엔지니어링 외 2개사김 동 주- 수변생태 녹지공간 조성 : 182,000㎡ → 518,000㎡ - 수로확장 : 폭 10m → 15m~30m, 연장 4.6km - 자전거도로 : 4.7km, 산책로 : 7.4km 조성 - 여의상?하류 IC 선형개선 및 교량 6개소 신설도시기반시설본부 시설안전국 토목부호경수2008-01-232008-01-24<NA><NA><NA><NA>N완료<NA>
460920085서울시수서 및 일원배수지 건설공사 기본 및 실시설계 용역서울특별시토목용역발주심의최초요청상ㆍ하수도CONCLASS003제3차-수서 및 일원배수지 건설공사 기본 및 실시설계 용역-용역발주심의<NA>2009-02-03 ~ 2011-12-302008-03-03 ~ 2008-12-3076100000000<NA><NA><NA>수서배수지 20,000세제곱미티, 일원배수지 20,000세제곱미터상수도사업본부 본부 급수부 계획설계과최재우2008-01-212008-01-21<NA><NA><NA><NA>N완료<NA>
461020086서울시우이천 하천제방 및 시설물 보수.보강공사 실시설계 용역서울특별시토목설계심의최초요청하천CONCLASS003제4차-우이천 하천제방 및 시설물 보수.보강공사 실시설계 용역-설계심의<NA>2008-03-01 ~ 2009-12-312007-04-12 ~ 2008-02-2926199000000<NA>(주)삼안, (주)제일엔지니어링<NA>도봉천 : 축제 1,073m, 차집관거 이설 1,074m 묵동천 : 축제 1,040m, 보축 988m, 차집관거 이설 1,673m, 교량5개소 재설치 대동천 : 보축 120m물관리국 하천관리과김귀용2008-01-212008-01-23<NA><NA><NA><NA>N완료<NA>
461120084서울시수서 및 일원배수지건설공사 기본 및 실시설계용역서울특별시토목용역발주심의최초요청상ㆍ하수도CONCLASS003수서 및 일원배수지건설공사 기본 및 실시설계용역<NA>2009-03-02 ~ 2011-12-302008-03-03 ~ 2008-12-3176100000000<NA><NA><NA>일원배수지 2만톤, 수서배수지 2만톤, 가압장 및 부대공사 1식, 관로 구경 700~1350mm, 연장 6.56km상수도사업본부 본부 급수부 계획설계과장기덕2008-01-21<NA><NA><NA><NA><NA>N요청<NA>
461220083서울시서남권문화체육컴플렉스내 야구장 건립 및 가족공원 조성공사서울특별시건축입찰안내서심의최초요청기타CONCLASS001제2차-서남권문화체육컴플렉스내 야구장 건립 및 가족공원 조성공사-입찰안내서심의<NA><NA>2007-12-18 ~ 2008-01-1741235000000<NA>서울시립대학교 산학협력단대표 김성홍체육시설: 야구장(20,000규모), 지하 수영장, 헬스장 문화시설: 다목적 공연장 등도시기반시설본부 시설안전국 건축부박재웅2008-01-182008-01-18<NA><NA><NA><NA>N완료<NA>
461320082서울시답십리길연결고가도로설치 및 답십리굴다리 기하구조개선 기본설계용역서울특별시토목설계심의최초요청도로CONCLASS003제1차-답십리길연결고가도로설치 및 답십리굴다리 기하구조개선 기본설계용역-설계심의<NA>2009-02-03 ~ 2011-12-312006-10-23 ~ 2008-02-2922609000000<NA>(주)청석엔지니어링정희용고가도로 설치 폭 18m, 연장 185m 굴다리 기하구조개선 폭 48.5m, 연장 49.0m도시교통본부 도로기획관 도로계획담당관오대중2008-01-142008-01-14<NA><NA><NA><NA>N완료<NA>
461420081서울시중앙버스전용차로 기능개선사업 기본 및 실시설계서울특별시토목입찰방법심의최초요청도로CONCLASS003제8차-중앙버스전용차로 기능개선사업 기본 및 실시설계-입찰방법심의<NA>2009-01-01 ~ 2009-12-312008-02-20 ~ 2008-12-31318000000000<NA><NA><NA>기능개선 공사 - 구 간 : 7개 노선, 67.9km <주요내용 > - 중앙정류소 개량 - 전구간 차로조정 및교통안전시설 설치 - 보도축소 구간 가로등및 가로수 등 지장물이설 - U턴 금지에 따른 우회도로 확장 및 정비 - 기타 부대공사 등도시교통본부 도로기획관 도로교통시설담당관김진구2008-01-112008-01-25<NA><NA><NA><NA>N진행<NA>
46152008120서울시광암아리수정수센터 고도정수처리시설공사 기본 및 실시설계 용역발주서울특별시토목용역발주심의최초요청상ㆍ하수도CONCLASS003제99차-광암아리수정수센터 고도정수처리시설공사 기본 및 실시설계 용역발주-용역발주심의<NA><NA>2008-02-05 ~ 2008-09-300<NA><NA><NA>입상활성탄 흡착지 : 250,000세제곱미터/일상수도사업본부 본부 급수부 계획설계과한명석2008-01-022008-07-01<NA><NA><NA><NA>N완료<NA>

Duplicate rows

Most frequently occurring

연도요청번호기관구분사업명사업부서명사업분야명심의구분심의요청구분세부분야공사구분공사명공사기간용역기간총공사비설계자명대표자공사개요요청부서요청자요청일접수일조치내용서 제출일자조치내용서 내용요약조치결과서 제출일자조치결과서조치결과서 결과요약진행상태# duplicates
2200991서울시난지물재생센터고도처리시설(분뇨탈취포함)설치사업서울특별시기계설계적격심의재심의요청<NA>CONCLASS001제5차-난지물재생센터고도처리시설(분뇨탈취포함)설치사업-설계적격심의2009-06-05 ~ 2012-06-06<NA>68499000000<NA><NA>강화된 하수도법의 방류수 수질기준을 준수하기 위하여 시설.공정개량 등 고도처리공사를 추진하고, 분뇨처리장 시설개선 및 탈취시설을 설치도시기반시설본부 시설안전국 설비부한승영2009-04-082009-04-08<NA><NA><NA><NA>N완료3
0200812서울시광나루 자전거 전용공원 조성에 따른 기본 및 실시설계서울특별시조경?산림용역발주심의재심의요청<NA>CONCLASS001제11차-광나루 자전거 전용공원 조성에 따른 기본 및 실시설계-용역발주심의<NA><NA>6606385000<NA><NA>- 규모 : 조성면적 130,000㎡ - 사업기간 : '08.01~'10.06 - 사업비 : 7,500백만원한강사업본부 한강사업기획단 특화사업부 특화사업2과김병수2008-01-252008-01-25<NA><NA><NA><NA>N완료2
120095서울시양천자원회수시설 성능개선공사서울특별시기계설계적격심의재심의요청<NA>CONCLASS001제1차-양천자원회수시설 성능개선공사-설계적격심의<NA><NA>5264000000<NA><NA>소각시설개선과 폐열회수보일러 연소가스 냉각설비공사 등(시설용량 400톤/일)도시기반시설본부 시설안전국 설비부조성주2009-01-062009-01-07<NA><NA><NA><NA>N완료2
3201226서울시서남분뇨처리시설 증설 및 현대화사업서울특별시기계설계적격심의재심의요청<NA>CONCLASS001제1차-서남분뇨처리시설 증설 및 현대화사업-설계적격심의2012-09-01 ~ 2015-02-28<NA>67611000000대림산업(주), (주)대우건설<NA>분뇨처리시설 4,000톤/일 증설 및 상부공원화도시기반시설본부 시설국 설비부유병기2012-01-172012-01-18<NA><NA><NA><NA>N완료2