Overview

Dataset statistics

Number of variables16
Number of observations312
Missing cells907
Missing cells (%)18.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.3 KiB
Average record size in memory132.4 B

Variable types

Numeric3
Text4
Categorical7
DateTime2

Dataset

Description사업번호,사업명,승인기관,주관기관,사업분야구분,사업분야,사업지역주소,등록일,평가대행자명,사업자명,사업시작일,사업종료일,사업규모(예산),작성계획생략여부,개요,진행단계
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-2193/S/1/datasetView.do

Alerts

사업규모(예산) is highly overall correlated with 사업번호 and 6 other fieldsHigh correlation
승인기관 is highly overall correlated with 주관기관 and 1 other fieldsHigh correlation
주관기관 is highly overall correlated with 승인기관 and 1 other fieldsHigh correlation
사업분야 is highly overall correlated with 사업분야구분 and 2 other fieldsHigh correlation
평가대행자명 is highly overall correlated with 사업분야구분 and 2 other fieldsHigh correlation
사업번호 is highly overall correlated with 등록일 and 1 other fieldsHigh correlation
사업분야구분 is highly overall correlated with 사업분야 and 2 other fieldsHigh correlation
등록일 is highly overall correlated with 사업번호 and 2 other fieldsHigh correlation
작성계획생략여부 is highly overall correlated with 등록일 and 1 other fieldsHigh correlation
진행단계 is highly overall correlated with 작성계획생략여부High correlation
사업분야 is highly imbalanced (87.7%)Imbalance
사업규모(예산) is highly imbalanced (93.6%)Imbalance
진행단계 is highly imbalanced (63.3%)Imbalance
사업시작일 has 301 (96.5%) missing valuesMissing
사업종료일 has 303 (97.1%) missing valuesMissing
개요 has 303 (97.1%) missing valuesMissing
사업번호 has unique valuesUnique

Reproduction

Analysis started2024-05-04 06:18:20.628080
Analysis finished2024-05-04 06:18:27.889483
Duration7.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct312
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5757725 × 1012
Minimum1.5386407 × 1012
Maximum1.7138363 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-04T06:18:28.265940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5386407 × 1012
5-th percentile1.5386407 × 1012
Q11.5386407 × 1012
median1.5386407 × 1012
Q31.5996207 × 1012
95-th percentile1.7036905 × 1012
Maximum1.7138363 × 1012
Range1.7519557 × 1011
Interquartile range (IQR)6.0979946 × 1010

Descriptive statistics

Standard deviation5.6620716 × 1010
Coefficient of variation (CV)0.035932037
Kurtosis0.11013303
Mean1.5757725 × 1012
Median Absolute Deviation (MAD)2420
Skewness1.2697181
Sum4.9164103 × 1014
Variance3.2059055 × 1021
MonotonicityStrictly decreasing
2024-05-04T06:18:28.984308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1713836281857 1
 
0.3%
1538640713911 1
 
0.3%
1538640713771 1
 
0.3%
1538640713791 1
 
0.3%
1538640713811 1
 
0.3%
1538640713831 1
 
0.3%
1538640713851 1
 
0.3%
1538640713871 1
 
0.3%
1538640713891 1
 
0.3%
1538640713931 1
 
0.3%
Other values (302) 302
96.8%
ValueCountFrequency (%)
1538640711811 1
0.3%
1538640711831 1
0.3%
1538640711851 1
0.3%
1538640711871 1
0.3%
1538640711891 1
0.3%
1538640711911 1
0.3%
1538640711931 1
0.3%
1538640711951 1
0.3%
1538640711971 1
0.3%
1538640711991 1
0.3%
ValueCountFrequency (%)
1713836281857 1
0.3%
1713745723587 1
0.3%
1712190921601 1
0.3%
1711608587162 1
0.3%
1711586919427 1
0.3%
1711539338767 1
0.3%
1711085501199 1
0.3%
1710463401224 1
0.3%
1709084717977 1
0.3%
1708046157755 1
0.3%

사업명
Text

Distinct306
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-04T06:18:29.713093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length37
Mean length19.108974
Min length3

Characters and Unicode

Total characters5962
Distinct characters332
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

Unique300 ?
Unique (%)96.2%

Sample

1st row테스트(240423)
2nd row봉천 제14구역 주택재개발정비사업
3rd row환경영향평가테스트(평가진행사업)
4th row20240328 테스트입니다.
5th row서울중앙지방검찰청 증축사업
ValueCountFrequency (%)
도시환경정비사업 39
 
4.1%
주택재개발정비사업 34
 
3.6%
신축공사 26
 
2.7%
주택재건축정비사업 20
 
2.1%
신축사업 19
 
2.0%
증축 16
 
1.7%
재건축정비사업 13
 
1.4%
교육연구시설 13
 
1.4%
신축 12
 
1.3%
개발사업 12
 
1.3%
Other values (514) 743
78.5%
2024-05-04T06:18:30.957984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
641
 
10.8%
사 293
 
4.9%
업 248
 
4.2%
정 195
 
3.3%
비 189
 
3.2%
구 189
 
3.2%
재 161
 
2.7%
역 138
 
2.3%
축 137
 
2.3%
주 110
 
1.8%
Other values (322) 3661
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4849
81.3%
Space Separator 641
 
10.8%
Decimal Number 262
 
4.4%
Uppercase Letter 54
 
0.9%
Open Punctuation 43
 
0.7%
Close Punctuation 42
 
0.7%
Dash Punctuation 37
 
0.6%
Other Punctuation 27
 
0.5%
Math Symbol 3
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 293
 
6.0%
업 248
 
5.1%
정 195
 
4.0%
비 189
 
3.9%
구 189
 
3.9%
재 161
 
3.3%
역 138
 
2.8%
축 137
 
2.8%
주 110
 
2.3%
시 100
 
2.1%
Other values (275) 3089
63.7%
Uppercase Letter
ValueCountFrequency (%)
T 5
 
9.3%
R 5
 
9.3%
G 5
 
9.3%
K 4
 
7.4%
C 4
 
7.4%
P 4
 
7.4%
Y 4
 
7.4%
S 3
 
5.6%
D 3
 
5.6%
E 3
 
5.6%
Other values (11) 14
25.9%
Decimal Number
ValueCountFrequency (%)
1 75
28.6%
2 56
21.4%
3 42
16.0%
4 29
 
11.1%
5 17
 
6.5%
6 16
 
6.1%
7 10
 
3.8%
9 7
 
2.7%
0 6
 
2.3%
8 4
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 16
59.3%
? 5
 
18.5%
. 4
 
14.8%
/ 1
 
3.7%
& 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
c 1
33.3%
r 1
33.3%
a 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 42
97.7%
「 1
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 41
97.6%
」 1
 
2.4%
Space Separator
ValueCountFrequency (%)
641
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4849
81.3%
Common 1055
 
17.7%
Latin 58
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 293
 
6.0%
업 248
 
5.1%
정 195
 
4.0%
비 189
 
3.9%
구 189
 
3.9%
재 161
 
3.3%
역 138
 
2.8%
축 137
 
2.8%
주 110
 
2.3%
시 100
 
2.1%
Other values (275) 3089
63.7%
Latin
ValueCountFrequency (%)
T 5
 
8.6%
R 5
 
8.6%
G 5
 
8.6%
K 4
 
6.9%
C 4
 
6.9%
P 4
 
6.9%
Y 4
 
6.9%
S 3
 
5.2%
D 3
 
5.2%
E 3
 
5.2%
Other values (15) 18
31.0%
Common
ValueCountFrequency (%)
641
60.8%
1 75
 
7.1%
2 56
 
5.3%
( 42
 
4.0%
3 42
 
4.0%
) 41
 
3.9%
- 37
 
3.5%
4 29
 
2.7%
5 17
 
1.6%
, 16
 
1.5%
Other values (12) 59
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4849
81.3%
ASCII 1110
 
18.6%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
641
57.7%
1 75
 
6.8%
2 56
 
5.0%
( 42
 
3.8%
3 42
 
3.8%
) 41
 
3.7%
- 37
 
3.3%
4 29
 
2.6%
5 17
 
1.5%
, 16
 
1.4%
Other values (34) 114
 
10.3%
Hangul
ValueCountFrequency (%)
사 293
 
6.0%
업 248
 
5.1%
정 195
 
4.0%
비 189
 
3.9%
구 189
 
3.9%
재 161
 
3.3%
역 138
 
2.8%
축 137
 
2.8%
주 110
 
2.3%
시 100
 
2.1%
Other values (275) 3089
63.7%
None
ValueCountFrequency (%)
」 1
50.0%
「 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

승인기관
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
105 
서울특별시
30 
용산구
15 
성북구
14 
중구
 
11
Other values (24)
137 

Length

Max length5
Median length4
Mean length3.6217949
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row관악구
3rd row환경부
4th row강동구
5th row서초구

Common Values

ValueCountFrequency (%)
<NA> 105
33.7%
서울특별시 30
 
9.6%
용산구 15
 
4.8%
성북구 14
 
4.5%
중구 11
 
3.5%
동작구 11
 
3.5%
송파구 10
 
3.2%
성동구 9
 
2.9%
영등포구 9
 
2.9%
동대문구 8
 
2.6%
Other values (19) 90
28.8%

Length

2024-05-04T06:18:31.525210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 105
33.7%
서울특별시 30
 
9.6%
용산구 15
 
4.8%
성북구 14
 
4.5%
중구 11
 
3.5%
동작구 11
 
3.5%
송파구 10
 
3.2%
성동구 9
 
2.9%
영등포구 9
 
2.9%
동대문구 8
 
2.6%
Other values (19) 90
28.8%

주관기관
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
148 
성북구
 
14
영등포구
 
12
강동구
 
10
용산구
 
10
Other values (23)
118 

Length

Max length5
Median length4
Mean length3.5480769
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 148
47.4%
성북구 14
 
4.5%
영등포구 12
 
3.8%
강동구 10
 
3.2%
용산구 10
 
3.2%
동작구 10
 
3.2%
서초구 10
 
3.2%
송파구 9
 
2.9%
성동구 9
 
2.9%
동대문구 8
 
2.6%
Other values (18) 72
23.1%

Length

2024-05-04T06:18:31.942349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 148
47.4%
성북구 14
 
4.5%
영등포구 12
 
3.8%
강동구 10
 
3.2%
용산구 10
 
3.2%
동작구 10
 
3.2%
서초구 10
 
3.2%
송파구 9
 
2.9%
성동구 9
 
2.9%
동대문구 8
 
2.6%
Other values (18) 72
23.1%

사업분야구분
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.52142 × 1012
Minimum1.5214199 × 1012
Maximum1.5214244 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-04T06:18:32.292477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5214199 × 1012
5-th percentile1.5214199 × 1012
Q11.5214199 × 1012
median1.5214199 × 1012
Q31.5214199 × 1012
95-th percentile1.5214199 × 1012
Maximum1.5214244 × 1012
Range4521436
Interquartile range (IQR)0

Descriptive statistics

Standard deviation352015.41
Coefficient of variation (CV)2.3137294 × 10-7
Kurtosis107.94369
Mean1.52142 × 1012
Median Absolute Deviation (MAD)0
Skewness9.9037937
Sum4.7468302 × 1014
Variance1.2391485 × 1011
MonotonicityNot monotonic
2024-05-04T06:18:32.746942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1521419902010 299
95.8%
1521420494457 5
 
1.6%
1521420326940 3
 
1.0%
1521420434463 2
 
0.6%
1521424423446 1
 
0.3%
1521422692144 1
 
0.3%
1521422767948 1
 
0.3%
ValueCountFrequency (%)
1521419902010 299
95.8%
1521420326940 3
 
1.0%
1521420434463 2
 
0.6%
1521420494457 5
 
1.6%
1521422692144 1
 
0.3%
1521422767948 1
 
0.3%
1521424423446 1
 
0.3%
ValueCountFrequency (%)
1521424423446 1
 
0.3%
1521422767948 1
 
0.3%
1521422692144 1
 
0.3%
1521420494457 5
 
1.6%
1521420434463 2
 
0.6%
1521420326940 3
 
1.0%
1521419902010 299
95.8%

사업분야
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
도시의 개발
299 
하천의 이용 및 개발
 
5
도로의건설
 
3
철도의 건설
 
2
체육시설의 설치
 
1
Other values (2)
 
2

Length

Max length13
Median length6
Mean length6.1057692
Min length5

Unique

Unique3 ?
Unique (%)1.0%

Sample

1st row도시의 개발
2nd row도시의 개발
3rd row도시의 개발
4th row체육시설의 설치
5th row도시의 개발

Common Values

ValueCountFrequency (%)
도시의 개발 299
95.8%
하천의 이용 및 개발 5
 
1.6%
도로의건설 3
 
1.0%
철도의 건설 2
 
0.6%
체육시설의 설치 1
 
0.3%
개간 및 공유수면의 매립 1
 
0.3%
관광단지의 개발 1
 
0.3%

Length

2024-05-04T06:18:33.179368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:18:33.607760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개발 305
48.2%
도시의 299
47.2%
및 6
 
0.9%
하천의 5
 
0.8%
이용 5
 
0.8%
도로의건설 3
 
0.5%
철도의 2
 
0.3%
건설 2
 
0.3%
체육시설의 1
 
0.2%
설치 1
 
0.2%
Other values (4) 4
 
0.6%

사업지역주소
Text

Distinct303
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-04T06:18:34.283821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length17.163462
Min length2

Characters and Unicode

Total characters5355
Distinct characters202
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique294 ?
Unique (%)94.2%

Sample

1st row테스트
2nd row관악구 봉천동 4-51번지 일대
3rd row환경영향평가사업지역위치
4th row테스트 사업지역위치
5th row서초구 서초동 1724번지 일원
ValueCountFrequency (%)
일대 137
 
11.2%
일원 79
 
6.5%
서울특별시 34
 
2.8%
중구 23
 
1.9%
영등포구 22
 
1.8%
용산구 20
 
1.6%
성동구 18
 
1.5%
성북구 18
 
1.5%
강남구 17
 
1.4%
송파구 17
 
1.4%
Other values (501) 836
68.5%
2024-05-04T06:18:35.684654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
911
 
17.0%
구 328
 
6.1%
동 321
 
6.0%
지 234
 
4.4%
일 221
 
4.1%
번 220
 
4.1%
1 196
 
3.7%
대 185
 
3.5%
2 169
 
3.2%
- 143
 
2.7%
Other values (192) 2427
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3196
59.7%
Decimal Number 1069
 
20.0%
Space Separator 911
 
17.0%
Dash Punctuation 143
 
2.7%
Other Punctuation 23
 
0.4%
Math Symbol 5
 
0.1%
Uppercase Letter 4
 
0.1%
Lowercase Letter 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 328
 
10.3%
동 321
 
10.0%
지 234
 
7.3%
일 221
 
6.9%
번 220
 
6.9%
대 185
 
5.8%
원 98
 
3.1%
로 93
 
2.9%
서 86
 
2.7%
시 52
 
1.6%
Other values (170) 1358
42.5%
Decimal Number
ValueCountFrequency (%)
1 196
18.3%
2 169
15.8%
3 120
11.2%
5 109
10.2%
4 109
10.2%
8 80
7.5%
0 79
7.4%
6 72
 
6.7%
7 68
 
6.4%
9 67
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
D 1
25.0%
M 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 22
95.7%
. 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
911
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3196
59.7%
Common 2153
40.2%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 328
 
10.3%
동 321
 
10.0%
지 234
 
7.3%
일 221
 
6.9%
번 220
 
6.9%
대 185
 
5.8%
원 98
 
3.1%
로 93
 
2.9%
서 86
 
2.7%
시 52
 
1.6%
Other values (170) 1358
42.5%
Common
ValueCountFrequency (%)
911
42.3%
1 196
 
9.1%
2 169
 
7.8%
- 143
 
6.6%
3 120
 
5.6%
5 109
 
5.1%
4 109
 
5.1%
8 80
 
3.7%
0 79
 
3.7%
6 72
 
3.3%
Other values (7) 165
 
7.7%
Latin
ValueCountFrequency (%)
C 2
33.3%
k 1
16.7%
m 1
16.7%
D 1
16.7%
M 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3196
59.7%
ASCII 2159
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
911
42.2%
1 196
 
9.1%
2 169
 
7.8%
- 143
 
6.6%
3 120
 
5.6%
5 109
 
5.0%
4 109
 
5.0%
8 80
 
3.7%
0 79
 
3.7%
6 72
 
3.3%
Other values (12) 171
 
7.9%
Hangul
ValueCountFrequency (%)
구 328
 
10.3%
동 321
 
10.0%
지 234
 
7.3%
일 221
 
6.9%
번 220
 
6.9%
대 185
 
5.8%
원 98
 
3.1%
로 93
 
2.9%
서 86
 
2.7%
시 52
 
1.6%
Other values (170) 1358
42.5%

등록일
Real number (ℝ)

HIGH CORRELATION 

Distinct294
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20147334
Minimum20020914
Maximum20240423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-04T06:18:36.211294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020914
5-th percentile20040604
Q120090378
median20155664
Q320200909
95-th percentile20231227
Maximum20240423
Range219509
Interquartile range (IQR)110531

Descriptive statistics

Standard deviation64648.86
Coefficient of variation (CV)0.0032088046
Kurtosis-1.2313072
Mean20147334
Median Absolute Deviation (MAD)55003
Skewness-0.27333487
Sum6.2859683 × 109
Variance4.1794751 × 109
MonotonicityNot monotonic
2024-05-04T06:18:36.780422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191008 4
 
1.3%
20191001 3
 
1.0%
20200110 3
 
1.0%
20140923 2
 
0.6%
20201204 2
 
0.6%
20220627 2
 
0.6%
20240328 2
 
0.6%
20160721 2
 
0.6%
20190930 2
 
0.6%
20130913 2
 
0.6%
Other values (284) 288
92.3%
ValueCountFrequency (%)
20020914 1
0.3%
20020917 1
0.3%
20020927 1
0.3%
20030127 1
0.3%
20030129 1
0.3%
20030206 1
0.3%
20030521 1
0.3%
20030809 1
0.3%
20031108 1
0.3%
20040105 1
0.3%
ValueCountFrequency (%)
20240423 1
0.3%
20240422 1
0.3%
20240404 1
0.3%
20240328 2
0.6%
20240327 1
0.3%
20240322 1
0.3%
20240315 1
0.3%
20240228 1
0.3%
20240216 1
0.3%
20240208 1
0.3%

평가대행자명
Categorical

HIGH CORRELATION 

Distinct45
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
(주)예평이앤씨
57 
<NA>
41 
(주)동해종합기술공사
38 
(주)제일엔지니어링종합건축사사무소
28 
(주)대영이이씨
26 
Other values (40)
122 

Length

Max length19
Median length17
Mean length9.0608974
Min length4

Unique

Unique14 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
(주)예평이앤씨 57
18.3%
<NA> 41
13.1%
(주)동해종합기술공사 38
12.2%
(주)제일엔지니어링종합건축사사무소 28
 
9.0%
(주)대영이이씨 26
 
8.3%
(주)수성엔지니어링 21
 
6.7%
(주)동림피엔디 11
 
3.5%
(주)대한콘설탄트 7
 
2.2%
(주)이엔씨기술 7
 
2.2%
(주)유연이앤씨 6
 
1.9%
Other values (35) 70
22.4%

Length

2024-05-04T06:18:37.667269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주)예평이앤씨 57
17.8%
na 41
12.8%
주)동해종합기술공사 38
11.9%
주)제일엔지니어링종합건축사사무소 28
 
8.8%
주)대영이이씨 26
 
8.1%
주)수성엔지니어링 21
 
6.6%
주)동림피엔디 11
 
3.4%
주)대한콘설탄트 7
 
2.2%
주)이엔씨기술 7
 
2.2%
주)유연이앤씨 6
 
1.9%
Other values (38) 78
24.4%

사업자명
Text

Distinct267
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-04T06:18:38.482752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length21
Mean length13.573718
Min length2

Characters and Unicode

Total characters4235
Distinct characters330
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique239 ?
Unique (%)76.6%

Sample

1st row테스트
2nd row조합
3rd row사업자테스트
4th row테스트 사업자
5th row법무부
ValueCountFrequency (%)
조합 30
 
5.3%
주택재개발정비사업조합 24
 
4.2%
학교법인 23
 
4.0%
주식회사 15
 
2.6%
주택재건축정비사업조합 13
 
2.3%
도시환경정비사업조합 11
 
1.9%
재정비촉진구역 8
 
1.4%
주택재개발정비사업 7
 
1.2%
sh공사 6
 
1.1%
주택재건축정비사업 6
 
1.1%
Other values (336) 425
74.8%
2024-05-04T06:18:39.738584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
256
 
6.0%
주 194
 
4.6%
사 159
 
3.8%
정 123
 
2.9%
비 119
 
2.8%
조 118
 
2.8%
합 117
 
2.8%
재 111
 
2.6%
업 106
 
2.5%
( 81
 
1.9%
Other values (320) 2851
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3603
85.1%
Space Separator 256
 
6.0%
Decimal Number 104
 
2.5%
Open Punctuation 81
 
1.9%
Close Punctuation 81
 
1.9%
Uppercase Letter 66
 
1.6%
Other Punctuation 16
 
0.4%
Lowercase Letter 12
 
0.3%
Other Symbol 11
 
0.3%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 194
 
5.4%
사 159
 
4.4%
정 123
 
3.4%
비 119
 
3.3%
조 118
 
3.3%
합 117
 
3.2%
재 111
 
3.1%
업 106
 
2.9%
택 81
 
2.2%
역 78
 
2.2%
Other values (272) 2397
66.5%
Uppercase Letter
ValueCountFrequency (%)
S 10
15.2%
H 7
 
10.6%
C 5
 
7.6%
G 5
 
7.6%
I 4
 
6.1%
L 4
 
6.1%
F 3
 
4.5%
B 3
 
4.5%
M 3
 
4.5%
Y 3
 
4.5%
Other values (11) 19
28.8%
Decimal Number
ValueCountFrequency (%)
1 37
35.6%
2 18
17.3%
3 15
14.4%
4 14
 
13.5%
6 7
 
6.7%
5 6
 
5.8%
7 3
 
2.9%
9 2
 
1.9%
8 1
 
1.0%
0 1
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
t 2
16.7%
d 1
 
8.3%
n 1
 
8.3%
p 1
 
8.3%
o 1
 
8.3%
i 1
 
8.3%
v 1
 
8.3%
m 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 14
87.5%
? 1
 
6.2%
/ 1
 
6.2%
Space Separator
ValueCountFrequency (%)
256
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3614
85.3%
Common 543
 
12.8%
Latin 78
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 194
 
5.4%
사 159
 
4.4%
정 123
 
3.4%
비 119
 
3.3%
조 118
 
3.3%
합 117
 
3.2%
재 111
 
3.1%
업 106
 
2.9%
택 81
 
2.2%
역 78
 
2.2%
Other values (273) 2408
66.6%
Latin
ValueCountFrequency (%)
S 10
 
12.8%
H 7
 
9.0%
C 5
 
6.4%
G 5
 
6.4%
I 4
 
5.1%
L 4
 
5.1%
F 3
 
3.8%
e 3
 
3.8%
B 3
 
3.8%
M 3
 
3.8%
Other values (20) 31
39.7%
Common
ValueCountFrequency (%)
256
47.1%
( 81
 
14.9%
) 81
 
14.9%
1 37
 
6.8%
2 18
 
3.3%
3 15
 
2.8%
4 14
 
2.6%
, 14
 
2.6%
6 7
 
1.3%
5 6
 
1.1%
Other values (7) 14
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3603
85.1%
ASCII 621
 
14.7%
None 11
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
256
41.2%
( 81
 
13.0%
) 81
 
13.0%
1 37
 
6.0%
2 18
 
2.9%
3 15
 
2.4%
4 14
 
2.3%
, 14
 
2.3%
S 10
 
1.6%
H 7
 
1.1%
Other values (37) 88
 
14.2%
Hangul
ValueCountFrequency (%)
주 194
 
5.4%
사 159
 
4.4%
정 123
 
3.4%
비 119
 
3.3%
조 118
 
3.3%
합 117
 
3.2%
재 111
 
3.1%
업 106
 
2.9%
택 81
 
2.2%
역 78
 
2.2%
Other values (272) 2397
66.5%
None
ValueCountFrequency (%)
㈜ 11
100.0%

사업시작일
Date

MISSING 

Distinct10
Distinct (%)90.9%
Missing301
Missing (%)96.5%
Memory size2.6 KiB
Minimum2002-03-29 00:00:00
Maximum2024-04-04 00:00:00
2024-05-04T06:18:40.084601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:18:40.417588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

사업종료일
Date

MISSING 

Distinct8
Distinct (%)88.9%
Missing303
Missing (%)97.1%
Memory size2.6 KiB
Minimum2007-12-31 00:00:00
Maximum2024-08-30 00:00:00
2024-05-04T06:18:40.779619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:18:41.133599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

사업규모(예산)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
307 
590000000
 
2
0
 
1
259500000
 
1
690000000
 
1

Length

Max length9
Median length4
Mean length4.0544872
Min length1

Unique

Unique3 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 307
98.4%
590000000 2
 
0.6%
0 1
 
0.3%
259500000 1
 
0.3%
690000000 1
 
0.3%

Length

2024-05-04T06:18:41.579014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:18:42.000115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 307
98.4%
590000000 2
 
0.6%
0 1
 
0.3%
259500000 1
 
0.3%
690000000 1
 
0.3%

작성계획생략여부
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
작성계획서 생략
235 
생략 안함
60 
전체 생략(작성계획서, 평가서초안, 평가서)
 
17

Length

Max length24
Median length8
Mean length8.2948718
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row작성계획서 생략
2nd row작성계획서 생략
3rd row생략 안함
4th row생략 안함
5th row작성계획서 생략

Common Values

ValueCountFrequency (%)
작성계획서 생략 235
75.3%
생략 안함 60
 
19.2%
전체 생략(작성계획서, 평가서초안, 평가서) 17
 
5.4%

Length

2024-05-04T06:18:42.408015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T06:18:42.856395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생략 295
44.8%
작성계획서 235
35.7%
안함 60
 
9.1%
전체 17
 
2.6%
생략(작성계획서 17
 
2.6%
평가서초안 17
 
2.6%
평가서 17
 
2.6%

개요
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing303
Missing (%)97.1%
Memory size2.6 KiB
2024-05-04T06:18:43.457499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length14
Mean length18.222222
Min length10

Characters and Unicode

Total characters164
Distinct characters75
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row환경영향평가사업개요
2nd row이건은 테스트입니다.
3rd row테스트 입니다.(2번째)
4th row종합의료복합단지(2단계) 개발사업
5th row불광 제5구역 주택재개발 정비사업
ValueCountFrequency (%)
2
 
8.3%
환경영향평가사업개요 1
 
4.2%
주택재건축정비사업 1
 
4.2%
환경영향평가 1
 
4.2%
환경부 1
 
4.2%
규모:24개동(지하4층~지상39층 1
 
4.2%
세대수:2,247세대 1
 
4.2%
105,584㎡ 1
 
4.2%
사업면적 1
 
4.2%
94,245㎡ 1
 
4.2%
Other values (13) 13
54.2%
2024-05-04T06:18:44.462219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
9.1%
4 6
 
3.7%
2 6
 
3.7%
사 5
 
3.0%
업 5
 
3.0%
지 4
 
2.4%
: 4
 
2.4%
개 4
 
2.4%
5 4
 
2.4%
비 3
 
1.8%
Other values (65) 108
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106
64.6%
Decimal Number 25
 
15.2%
Space Separator 15
 
9.1%
Other Punctuation 9
 
5.5%
Close Punctuation 3
 
1.8%
Open Punctuation 3
 
1.8%
Other Symbol 2
 
1.2%
Math Symbol 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 5
 
4.7%
업 5
 
4.7%
지 4
 
3.8%
개 4
 
3.8%
비 3
 
2.8%
경 3
 
2.8%
재 3
 
2.8%
환 3
 
2.8%
정 3
 
2.8%
단 2
 
1.9%
Other values (48) 71
67.0%
Decimal Number
ValueCountFrequency (%)
4 6
24.0%
2 6
24.0%
5 4
16.0%
1 2
 
8.0%
0 2
 
8.0%
9 2
 
8.0%
3 1
 
4.0%
7 1
 
4.0%
8 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
: 4
44.4%
, 3
33.3%
. 2
22.2%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106
64.6%
Common 58
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 5
 
4.7%
업 5
 
4.7%
지 4
 
3.8%
개 4
 
3.8%
비 3
 
2.8%
경 3
 
2.8%
재 3
 
2.8%
환 3
 
2.8%
정 3
 
2.8%
단 2
 
1.9%
Other values (48) 71
67.0%
Common
ValueCountFrequency (%)
15
25.9%
4 6
 
10.3%
2 6
 
10.3%
: 4
 
6.9%
5 4
 
6.9%
) 3
 
5.2%
( 3
 
5.2%
, 3
 
5.2%
㎡ 2
 
3.4%
1 2
 
3.4%
Other values (7) 10
17.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106
64.6%
ASCII 56
34.1%
CJK Compat 2
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
26.8%
4 6
 
10.7%
2 6
 
10.7%
: 4
 
7.1%
5 4
 
7.1%
) 3
 
5.4%
( 3
 
5.4%
, 3
 
5.4%
1 2
 
3.6%
0 2
 
3.6%
Other values (6) 8
14.3%
Hangul
ValueCountFrequency (%)
사 5
 
4.7%
업 5
 
4.7%
지 4
 
3.8%
개 4
 
3.8%
비 3
 
2.8%
경 3
 
2.8%
재 3
 
2.8%
환 3
 
2.8%
정 3
 
2.8%
단 2
 
1.9%
Other values (48) 71
67.0%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%

진행단계
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct14
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
평가서(검토완료)
241 
평가서 초안(검토완료)
31 
사업접수(등록중)
 
10
평가서(검토중)
 
6
사업접수(등록완료)
 
6
Other values (9)
 
18

Length

Max length14
Median length9
Mean length9.4166667
Min length8

Unique

Unique6 ?
Unique (%)1.9%

Sample

1st row평가서 초안(등록대기)
2nd row평가서 초안(검토중)
3rd row평가서(검토완료)
4th row평가서(검토완료)
5th row평가서 초안(검토중)

Common Values

ValueCountFrequency (%)
평가서(검토완료) 241
77.2%
평가서 초안(검토완료) 31
 
9.9%
사업접수(등록중) 10
 
3.2%
평가서(검토중) 6
 
1.9%
사업접수(등록완료) 6
 
1.9%
평가서 초안(검토중) 5
 
1.6%
평가서(등록대기) 4
 
1.3%
평가서 초안(검토의견완료) 3
 
1.0%
평가서 초안(등록대기) 1
 
0.3%
평가서 초안(등록완료) 1
 
0.3%
Other values (4) 4
 
1.3%

Length

2024-05-04T06:18:45.012303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
평가서(검토완료 241
68.3%
평가서 41
 
11.6%
초안(검토완료 31
 
8.8%
사업접수(등록중 10
 
2.8%
평가서(검토중 6
 
1.7%
사업접수(등록완료 6
 
1.7%
초안(검토중 5
 
1.4%
평가서(등록대기 4
 
1.1%
초안(검토의견완료 3
 
0.8%
초안(등록대기 1
 
0.3%
Other values (5) 5
 
1.4%

Interactions

2024-05-04T06:18:24.832913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:18:23.309604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:18:24.066914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:18:25.112314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:18:23.570852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:18:24.354396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:18:25.483456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:18:23.817238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T06:18:24.591558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T06:18:45.482525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업번호승인기관주관기관사업분야구분사업분야등록일평가대행자명사업시작일사업종료일사업규모(예산)작성계획생략여부개요진행단계
사업번호1.0000.5000.4630.5450.0000.9080.2671.0001.0001.0000.5471.0000.669
승인기관0.5001.0000.9980.6760.0000.6860.2281.0001.0001.0000.4941.0000.221
주관기관0.4630.9981.0000.7620.4760.5930.1421.0001.0001.0000.1011.0000.000
사업분야구분0.5450.6760.7621.0001.0000.4811.000NaNNaNNaN0.4021.0000.000
사업분야0.0000.0000.4761.0001.0000.2100.8631.0001.000NaN0.3641.0000.551
등록일0.9080.6860.5930.4810.2101.0000.6971.0001.0001.0000.6951.0000.535
평가대행자명0.2670.2280.1421.0000.8630.6971.0001.0001.0001.0000.6821.0000.000
사업시작일1.0001.0001.000NaN1.0001.0001.0001.0001.0001.0000.0000.0000.000
사업종료일1.0001.0001.000NaN1.0001.0001.0001.0001.0001.0000.0000.0000.000
사업규모(예산)1.0001.0001.000NaNNaN1.0001.0001.0001.0001.0000.000NaN0.000
작성계획생략여부0.5470.4940.1010.4020.3640.6950.6820.0000.0000.0001.0001.0000.695
개요1.0001.0001.0001.0001.0001.0001.0000.0000.000NaN1.0001.0001.000
진행단계0.6690.2210.0000.0000.5510.5350.0000.0000.0000.0000.6951.0001.000
2024-05-04T06:18:46.024101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업규모(예산)작성계획생략여부승인기관주관기관사업분야진행단계평가대행자명
사업규모(예산)1.0000.0001.0001.0001.0000.0001.000
작성계획생략여부0.0001.0000.2710.0290.2610.5050.410
승인기관1.0000.2711.0000.8480.0000.0760.035
주관기관1.0000.0290.8481.0000.2130.0000.000
사업분야1.0000.2610.0000.2131.0000.2330.562
진행단계0.0000.5050.0760.0000.2331.0000.000
평가대행자명1.0000.4100.0350.0000.5620.0001.000
2024-05-04T06:18:46.420061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업번호사업분야구분등록일승인기관주관기관사업분야평가대행자명사업규모(예산)작성계획생략여부진행단계
사업번호1.000-0.0930.9490.1950.1900.0000.0001.0000.3870.343
사업분야구분-0.0931.000-0.1000.1770.2110.9950.6131.0000.1410.000
등록일0.949-0.1001.0000.3210.2310.1030.3000.5770.5480.247
승인기관0.1950.1770.3211.0000.8480.0000.0351.0000.2710.076
주관기관0.1900.2110.2310.8481.0000.2130.0001.0000.0290.000
사업분야0.0000.9950.1030.0000.2131.0000.5621.0000.2610.233
평가대행자명0.0000.6130.3000.0350.0000.5621.0001.0000.4100.000
사업규모(예산)1.0001.0000.5771.0001.0001.0001.0001.0000.0000.000
작성계획생략여부0.3870.1410.5480.2710.0290.2610.4100.0001.0000.505
진행단계0.3430.0000.2470.0760.0000.2330.0000.0000.5051.000

Missing values

2024-05-04T06:18:25.950151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T06:18:27.078464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-04T06:18:27.583433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

사업번호사업명승인기관주관기관사업분야구분사업분야사업지역주소등록일평가대행자명사업자명사업시작일사업종료일사업규모(예산)작성계획생략여부개요진행단계
01713836281857테스트(240423)<NA><NA>1521419902010도시의 개발테스트20240423<NA>테스트<NA><NA><NA>작성계획서 생략<NA>평가서 초안(등록대기)
11713745723587봉천 제14구역 주택재개발정비사업관악구<NA>1521419902010도시의 개발관악구 봉천동 4-51번지 일대20240422<NA>조합<NA><NA><NA>작성계획서 생략<NA>평가서 초안(검토중)
21712190921601환경영향평가테스트(평가진행사업)환경부환경부1521419902010도시의 개발환경영향평가사업지역위치20240404<NA>사업자테스트2024-04-042024-04-04<NA>생략 안함환경영향평가사업개요평가서(검토완료)
3171160858716220240328 테스트입니다.강동구강동구1521424423446체육시설의 설치테스트 사업지역위치20240328<NA>테스트 사업자2024-03-282024-03-28<NA>생략 안함이건은 테스트입니다.평가서(검토완료)
41711586919427서울중앙지방검찰청 증축사업서초구<NA>1521419902010도시의 개발서초구 서초동 1724번지 일원20240328<NA>법무부<NA><NA><NA>작성계획서 생략<NA>평가서 초안(검토중)
51711539338767테스트입니다.<NA><NA>1521422692144개간 및 공유수면의 매립테스트 플레이스20240327<NA>테스트 사업자<NA><NA><NA>작성계획서 생략테스트 입니다.(2번째)평가서(검토완료)
61711085501199테스트<NA><NA>1521419902010도시의 개발중구20240322<NA>테스트<NA><NA><NA>작성계획서 생략<NA>평가서(검토중)
71710463401224봉은사로 120 일원 복합시설 신축공사<NA><NA>1521419902010도시의 개발강남구 역삼동 602-4번지 일원20240315<NA>마스턴제116호강남프리미어프로젝트금융투자(주)<NA><NA><NA>작성계획서 생략<NA>평가서 초안(검토완료)
81709084717977양동구역 제4-2?7지구 도시정비형 재개발사업중구<NA>1521419902010도시의 개발중구 남대문로5가 395번지 일원20240228<NA>와이디427피에프브이 주식회사<NA><NA><NA>작성계획서 생략<NA>평가서 초안(검토완료)
91708046157755산호아파트 주택재건축정비사업(재평가)용산구<NA>1521419902010도시의 개발용산구 원효로4가 118-16번지 일원20240216<NA>산호아파트 주택재건축정비사업조합<NA><NA><NA>작성계획서 생략<NA>평가서(검토완료)
사업번호사업명승인기관주관기관사업분야구분사업분야사업지역주소등록일평가대행자명사업자명사업시작일사업종료일사업규모(예산)작성계획생략여부개요진행단계
3021538640711991세종대학교 교육연구시설 변경사업광진구광진구1521419902010도시의 개발광진구 군자동 98번지 일원20071212(주)동아기술공사세종대학교 총장<NA><NA><NA>작성계획서 생략<NA>평가서(검토완료)
3031538640711971영등포구 신길 제7구역 재정비촉진구역 주택재개발정비사업영등포구영등포구1521419902010도시의 개발영등포구 신길동 2039번지 일대20080327(주)대영이이씨신길7 재정비촉진구역 주택재개발정비조합<NA><NA><NA>생략 안함<NA>평가서(검토완료)
3041538640711951돈의문1구역 도시환경정비사업종로구종로구1521419902010도시의 개발종로구 교남동 61-2번지 일대20051221(주)천일기술단돈의문1지구 도시환경정비사업조합<NA><NA><NA>생략 안함<NA>평가서(검토완료)
3051538640711931종로구 청진구역 제12~16지구 도시환경정비사업종로구종로구1521419902010도시의 개발종로구 청진동 119-1번지 일대20080729삼호기술공사지엘피에프브이원 주식회사<NA><NA><NA>작성계획서 생략<NA>평가서(검토완료)
3061538640711911중앙대학교 제1캠퍼스 및 병원증축 사업동작구동작구1521419902010도시의 개발동작구 흑석동 221번지 일대20081021(주)동해종합기술공사학교법인 중앙대학교<NA><NA><NA>작성계획서 생략<NA>평가서(검토완료)
3071538640711891워커힐 주차빌딩 증축공사광진구광진구1521419902010도시의 개발광진구 광장동 22-1번지 일대20071025(주)동아기술공사(주)워커힐<NA><NA><NA>작성계획서 생략<NA>평가서(검토완료)
3081538640711871애경게이트 웨이프라자 신축사업서울특별시구로구1521419902010도시의 개발구로구 구로동 501번지 일원20020914(주)대영이이씨에이알디 홀딩스(주)<NA><NA><NA>생략 안함<NA>평가서(검토완료)
3091538640711851종로구 청진구역 제2,3지구 도시환경정비사업종로구종로구1521419902010도시의 개발종로구 청진동 249번지 일대20080707(주)수성엔지니어링(국)국도개발<NA><NA><NA>작성계획서 생략<NA>평가서(검토완료)
3101538640711831첨단IT콤플렉스 신축공사서울특별시마포구1521419902010도시의 개발서울특별시 마포구 상암동 DMC내 C5부지20050519<NA>한국소프트웨어진흥원<NA><NA><NA>생략 안함<NA>평가서(검토완료)
3111538640711811청계천 복원사업서울특별시종로구1521420494457하천의 이용 및 개발태평로입구~신답철교20030521(주)청마서울특별시<NA><NA><NA>생략 안함<NA>평가서(검토완료)