Overview

Dataset statistics

Number of variables10
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory87.8 B

Variable types

Numeric3
Text4
Categorical3

Dataset

Description광주광역시 도로 및 하천개수 등 토목부 주요 건설사업 현황을 사업명, 위치, 사업개요, 사업기간, 총사업비, 담당부서 및 전화번호 등으로 구분하여 안내하는 데이터입니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15095324/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 사업기간(시작년도) and 1 other fieldsHigh correlation
사업기간(시작년도) is highly overall correlated with 연번High correlation
담당부서 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
사업명 has unique valuesUnique
위치 has unique valuesUnique
사업개요 has unique valuesUnique
총사업비(백만원) has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:16:20.225396
Analysis finished2024-04-06 08:16:24.423880
Duration4.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-06T17:16:24.618396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2024-04-06T17:16:25.422388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

사업명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-06T17:16:25.903154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length21
Mean length16.657143
Min length8

Characters and Unicode

Total characters583
Distinct characters159
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

Unique35 ?
Unique (%)100.0%

Sample

1st row북부순환도로 개설
2nd row상무지구~첨단산단간 도로개설
3rd row월전동~무진로간 도로개설
4th row경찰청사~상무로간 도로개설
5th row금호코아루~U대회 진입로간 도로개설
ValueCountFrequency (%)
도로개설 9
 
8.9%
개설 4
 
4.0%
설치사업 4
 
4.0%
정비사업 3
 
3.0%
중앙오수관선관로 3
 
3.0%
개수공사 3
 
3.0%
정비 2
 
2.0%
주변 2
 
2.0%
진입도로 2
 
2.0%
완충저류시설 2
 
2.0%
Other values (67) 67
66.3%
2024-04-06T17:16:26.732437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
11.3%
로 29
 
5.0%
설 23
 
3.9%
사 20
 
3.4%
도 17
 
2.9%
개 17
 
2.9%
업 14
 
2.4%
수 14
 
2.4%
정 12
 
2.1%
관 11
 
1.9%
Other values (149) 360
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 440
75.5%
Space Separator 66
 
11.3%
Lowercase Letter 27
 
4.6%
Decimal Number 10
 
1.7%
Math Symbol 9
 
1.5%
Uppercase Letter 9
 
1.5%
Open Punctuation 7
 
1.2%
Close Punctuation 7
 
1.2%
Other Punctuation 5
 
0.9%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 29
 
6.6%
설 23
 
5.2%
사 20
 
4.5%
도 17
 
3.9%
개 17
 
3.9%
업 14
 
3.2%
수 14
 
3.2%
정 12
 
2.7%
관 11
 
2.5%
비 10
 
2.3%
Other values (120) 273
62.0%
Lowercase Letter
ValueCountFrequency (%)
n 6
22.2%
e 5
18.5%
i 4
14.8%
d 2
 
7.4%
s 2
 
7.4%
a 2
 
7.4%
c 1
 
3.7%
l 1
 
3.7%
p 1
 
3.7%
t 1
 
3.7%
Other values (2) 2
 
7.4%
Uppercase Letter
ValueCountFrequency (%)
L 3
33.3%
A 2
22.2%
B 1
 
11.1%
U 1
 
11.1%
C 1
 
11.1%
I 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 6
60.0%
1 2
 
20.0%
6 1
 
10.0%
3 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
· 1
 
20.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
75.5%
Common 107
 
18.4%
Latin 36
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 29
 
6.6%
설 23
 
5.2%
사 20
 
4.5%
도 17
 
3.9%
개 17
 
3.9%
업 14
 
3.2%
수 14
 
3.2%
정 12
 
2.7%
관 11
 
2.5%
비 10
 
2.3%
Other values (120) 273
62.0%
Latin
ValueCountFrequency (%)
n 6
16.7%
e 5
13.9%
i 4
11.1%
L 3
 
8.3%
A 2
 
5.6%
d 2
 
5.6%
s 2
 
5.6%
a 2
 
5.6%
B 1
 
2.8%
c 1
 
2.8%
Other values (8) 8
22.2%
Common
ValueCountFrequency (%)
66
61.7%
~ 9
 
8.4%
( 7
 
6.5%
) 7
 
6.5%
2 6
 
5.6%
, 4
 
3.7%
- 3
 
2.8%
1 2
 
1.9%
6 1
 
0.9%
3 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
75.5%
ASCII 142
 
24.4%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
46.5%
~ 9
 
6.3%
( 7
 
4.9%
) 7
 
4.9%
n 6
 
4.2%
2 6
 
4.2%
e 5
 
3.5%
, 4
 
2.8%
i 4
 
2.8%
- 3
 
2.1%
Other values (18) 25
 
17.6%
Hangul
ValueCountFrequency (%)
로 29
 
6.6%
설 23
 
5.2%
사 20
 
4.5%
도 17
 
3.9%
개 17
 
3.9%
업 14
 
3.2%
수 14
 
3.2%
정 12
 
2.7%
관 11
 
2.5%
비 10
 
2.3%
Other values (120) 273
62.0%
None
ValueCountFrequency (%)
· 1
100.0%

위치
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-06T17:16:27.314337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length26
Mean length20.342857
Min length15

Characters and Unicode

Total characters712
Distinct characters121
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row광주광역시 북구 용두동~장등동
2nd row광주광역시 서구 유촌동~광산구 산월동
3rd row광주광역시 광산구 월전동~우산동
4th row광주광역시 광산구 소촌동 일원
5th row광주광역시 서구 금호동, 마륵동 일원
ValueCountFrequency (%)
광주광역시 34
23.3%
일원 17
 
11.6%
광산구 13
 
8.9%
북구 7
 
4.8%
서구 6
 
4.1%
남구 3
 
2.1%
동구 3
 
2.1%
하남산단 2
 
1.4%
금호동 2
 
1.4%
내 2
 
1.4%
Other values (57) 57
39.0%
2024-04-06T17:16:28.202077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
16.0%
광 86
 
12.1%
동 43
 
6.0%
시 38
 
5.3%
구 37
 
5.2%
역 36
 
5.1%
주 36
 
5.1%
산 25
 
3.5%
원 20
 
2.8%
일 17
 
2.4%
Other values (111) 260
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 540
75.8%
Space Separator 114
 
16.0%
Decimal Number 20
 
2.8%
Math Symbol 19
 
2.7%
Other Punctuation 6
 
0.8%
Lowercase Letter 4
 
0.6%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Uppercase Letter 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 86
15.9%
동 43
 
8.0%
시 38
 
7.0%
구 37
 
6.9%
역 36
 
6.7%
주 36
 
6.7%
산 25
 
4.6%
원 20
 
3.7%
일 17
 
3.1%
서 11
 
2.0%
Other values (90) 191
35.4%
Decimal Number
ValueCountFrequency (%)
1 8
40.0%
2 4
20.0%
9 2
 
10.0%
5 2
 
10.0%
4 1
 
5.0%
7 1
 
5.0%
3 1
 
5.0%
8 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
@ 2
33.3%
, 2
33.3%
. 1
16.7%
· 1
16.7%
Math Symbol
ValueCountFrequency (%)
~ 17
89.5%
= 2
 
10.5%
Lowercase Letter
ValueCountFrequency (%)
m 2
50.0%
k 2
50.0%
Space Separator
ValueCountFrequency (%)
114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 539
75.7%
Common 166
 
23.3%
Latin 6
 
0.8%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 86
16.0%
동 43
 
8.0%
시 38
 
7.1%
구 37
 
6.9%
역 36
 
6.7%
주 36
 
6.7%
산 25
 
4.6%
원 20
 
3.7%
일 17
 
3.2%
서 11
 
2.0%
Other values (89) 190
35.3%
Common
ValueCountFrequency (%)
114
68.7%
~ 17
 
10.2%
1 8
 
4.8%
2 4
 
2.4%
) 3
 
1.8%
( 3
 
1.8%
@ 2
 
1.2%
, 2
 
1.2%
9 2
 
1.2%
= 2
 
1.2%
Other values (8) 9
 
5.4%
Latin
ValueCountFrequency (%)
m 2
33.3%
L 2
33.3%
k 2
33.3%
Han
ValueCountFrequency (%)
洞 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 539
75.7%
ASCII 171
 
24.0%
None 1
 
0.1%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
66.7%
~ 17
 
9.9%
1 8
 
4.7%
2 4
 
2.3%
) 3
 
1.8%
( 3
 
1.8%
@ 2
 
1.2%
m 2
 
1.2%
L 2
 
1.2%
k 2
 
1.2%
Other values (10) 14
 
8.2%
Hangul
ValueCountFrequency (%)
광 86
16.0%
동 43
 
8.0%
시 38
 
7.1%
구 37
 
6.9%
역 36
 
6.7%
주 36
 
6.7%
산 25
 
4.6%
원 20
 
3.7%
일 17
 
3.2%
서 11
 
2.0%
Other values (89) 190
35.3%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
洞 1
100.0%

사업개요
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-06T17:16:28.751042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length25
Mean length18.114286
Min length9

Characters and Unicode

Total characters634
Distinct characters93
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st rowL=6.74km, B=20~35m
2nd rowL=4.98㎞, B=21~27.5m
3rd rowL=6.25km, B=21.5~31m(4차로)
4th rowL=1.03km, B=35m(6차로)
5th rowL=620m, B=20m
ValueCountFrequency (%)
b=20m 5
 
5.1%
등 4
 
4.1%
신설 4
 
4.1%
오수간선관로 4
 
4.1%
설치 3
 
3.1%
하천정비 3
 
3.1%
및 2
 
2.0%
완충저류시설 2
 
2.0%
하수관로 2
 
2.0%
도로 1
 
1.0%
Other values (68) 68
69.4%
2024-04-06T17:16:29.532891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
9.9%
= 45
 
7.1%
0 44
 
6.9%
m 34
 
5.4%
2 32
 
5.0%
, 25
 
3.9%
L 25
 
3.9%
. 21
 
3.3%
3 19
 
3.0%
5 18
 
2.8%
Other values (83) 308
48.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 175
27.6%
Other Letter 174
27.4%
Space Separator 63
 
9.9%
Math Symbol 52
 
8.2%
Other Punctuation 47
 
7.4%
Uppercase Letter 45
 
7.1%
Lowercase Letter 40
 
6.3%
Other Symbol 20
 
3.2%
Open Punctuation 9
 
1.4%
Close Punctuation 9
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 17
 
9.8%
설 15
 
8.6%
관 9
 
5.2%
수 8
 
4.6%
정 7
 
4.0%
차 7
 
4.0%
하 6
 
3.4%
시 6
 
3.4%
비 6
 
3.4%
오 5
 
2.9%
Other values (53) 88
50.6%
Decimal Number
ValueCountFrequency (%)
0 44
25.1%
2 32
18.3%
3 19
10.9%
5 18
10.3%
1 16
 
9.1%
4 12
 
6.9%
6 11
 
6.3%
9 9
 
5.1%
8 7
 
4.0%
7 7
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
L 25
55.6%
B 16
35.6%
A 2
 
4.4%
Q 1
 
2.2%
V 1
 
2.2%
Other Symbol
ValueCountFrequency (%)
㎞ 11
55.0%
㎡ 5
25.0%
㎥ 3
 
15.0%
㎢ 1
 
5.0%
Math Symbol
ValueCountFrequency (%)
= 45
86.5%
~ 4
 
7.7%
→ 3
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 25
53.2%
. 21
44.7%
/ 1
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
m 34
85.0%
k 6
 
15.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 375
59.1%
Hangul 174
27.4%
Latin 85
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 17
 
9.8%
설 15
 
8.6%
관 9
 
5.2%
수 8
 
4.6%
정 7
 
4.0%
차 7
 
4.0%
하 6
 
3.4%
시 6
 
3.4%
비 6
 
3.4%
오 5
 
2.9%
Other values (53) 88
50.6%
Common
ValueCountFrequency (%)
63
16.8%
= 45
12.0%
0 44
11.7%
2 32
 
8.5%
, 25
 
6.7%
. 21
 
5.6%
3 19
 
5.1%
5 18
 
4.8%
1 16
 
4.3%
4 12
 
3.2%
Other values (13) 80
21.3%
Latin
ValueCountFrequency (%)
m 34
40.0%
L 25
29.4%
B 16
18.8%
k 6
 
7.1%
A 2
 
2.4%
Q 1
 
1.2%
V 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 437
68.9%
Hangul 174
 
27.4%
CJK Compat 20
 
3.2%
Arrows 3
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
14.4%
= 45
10.3%
0 44
 
10.1%
m 34
 
7.8%
2 32
 
7.3%
, 25
 
5.7%
L 25
 
5.7%
. 21
 
4.8%
3 19
 
4.3%
5 18
 
4.1%
Other values (15) 111
25.4%
Hangul
ValueCountFrequency (%)
로 17
 
9.8%
설 15
 
8.6%
관 9
 
5.2%
수 8
 
4.6%
정 7
 
4.0%
차 7
 
4.0%
하 6
 
3.4%
시 6
 
3.4%
비 6
 
3.4%
오 5
 
2.9%
Other values (53) 88
50.6%
CJK Compat
ValueCountFrequency (%)
㎞ 11
55.0%
㎡ 5
25.0%
㎥ 3
 
15.0%
㎢ 1
 
5.0%
Arrows
ValueCountFrequency (%)
→ 3
100.0%

사업기간(시작년도)
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.3429
Minimum2004
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-06T17:16:29.782021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2004
5-th percentile2009.1
Q12017
median2019
Q32021.5
95-th percentile2023
Maximum2023
Range19
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation4.2560881
Coefficient of variation (CV)0.0021087042
Kurtosis3.8561066
Mean2018.3429
Median Absolute Deviation (MAD)2
Skewness-1.759633
Sum70642
Variance18.114286
MonotonicityNot monotonic
2024-04-06T17:16:30.167643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2017 5
14.3%
2022 5
14.3%
2016 4
11.4%
2019 4
11.4%
2020 4
11.4%
2018 4
11.4%
2023 4
11.4%
2021 2
 
5.7%
2007 1
 
2.9%
2010 1
 
2.9%
ValueCountFrequency (%)
2004 1
 
2.9%
2007 1
 
2.9%
2010 1
 
2.9%
2016 4
11.4%
2017 5
14.3%
2018 4
11.4%
2019 4
11.4%
2020 4
11.4%
2021 2
 
5.7%
2022 5
14.3%
ValueCountFrequency (%)
2023 4
11.4%
2022 5
14.3%
2021 2
 
5.7%
2020 4
11.4%
2019 4
11.4%
2018 4
11.4%
2017 5
14.3%
2016 4
11.4%
2010 1
 
2.9%
2007 1
 
2.9%

사업기간(종료년도)
Categorical

Distinct5
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
2025
15 
2024
14 
2026
4 
2028
 
1
2027
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)5.7%

Sample

1st row2028
2nd row2026
3rd row2026
4th row2025
5th row2025

Common Values

ValueCountFrequency (%)
2025 15
42.9%
2024 14
40.0%
2026 4
 
11.4%
2028 1
 
2.9%
2027 1
 
2.9%

Length

2024-04-06T17:16:30.617960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:30.890825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2025 15
42.9%
2024 14
40.0%
2026 4
 
11.4%
2028 1
 
2.9%
2027 1
 
2.9%

총사업비(백만원)
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36382.057
Minimum1493
Maximum197680
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-06T17:16:31.251511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1493
5-th percentile2303.5
Q110500
median23300
Q343539
95-th percentile116554.8
Maximum197680
Range196187
Interquartile range (IQR)33039

Descriptive statistics

Standard deviation44129.791
Coefficient of variation (CV)1.2129548
Kurtosis7.0228063
Mean36382.057
Median Absolute Deviation (MAD)17555
Skewness2.5501812
Sum1273372
Variance1.9474384 × 109
MonotonicityNot monotonic
2024-04-06T17:16:31.616661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
178768 1
 
2.9%
197680 1
 
2.9%
35077 1
 
2.9%
49067 1
 
2.9%
5343 1
 
2.9%
45805 1
 
2.9%
30828 1
 
2.9%
46300 1
 
2.9%
43848 1
 
2.9%
1845 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1493 1
2.9%
1845 1
2.9%
2500 1
2.9%
3718 1
2.9%
4872 1
2.9%
5343 1
2.9%
5745 1
2.9%
6467 1
2.9%
7000 1
2.9%
14000 1
2.9%
ValueCountFrequency (%)
197680 1
2.9%
178768 1
2.9%
89892 1
2.9%
79521 1
2.9%
78400 1
2.9%
49067 1
2.9%
46300 1
2.9%
45805 1
2.9%
43848 1
2.9%
43230 1
2.9%

담당부서
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
토목1팀
16 
토목2팀
13 
토목3팀
6 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row토목1팀
2nd row토목1팀
3rd row토목1팀
4th row토목1팀
5th row토목1팀

Common Values

ValueCountFrequency (%)
토목1팀 16
45.7%
토목2팀 13
37.1%
토목3팀 6
 
17.1%

Length

2024-04-06T17:16:32.104116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:32.371719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토목1팀 16
45.7%
토목2팀 13
37.1%
토목3팀 6
 
17.1%

담당자전화번호
Text

Distinct20
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-06T17:16:32.703869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters420
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)20.0%

Sample

1st row062-613-6881
2nd row062-613-6882
3rd row062-613-6893
4th row062-613-6881
5th row062-613-6875
ValueCountFrequency (%)
062-613-6921 3
 
8.6%
062-613-6927 3
 
8.6%
062-613-6925 2
 
5.7%
062-613-6881 2
 
5.7%
062-613-6893 2
 
5.7%
062-613-6876 2
 
5.7%
062-613-6895 2
 
5.7%
062-613-6875 2
 
5.7%
062-613-6896 2
 
5.7%
062-613-6933 2
 
5.7%
Other values (10) 13
37.1%
2024-04-06T17:16:33.385374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 112
26.7%
- 70
16.7%
2 50
11.9%
3 47
11.2%
1 40
 
9.5%
0 35
 
8.3%
9 26
 
6.2%
8 22
 
5.2%
7 11
 
2.6%
5 6
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 350
83.3%
Dash Punctuation 70
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 112
32.0%
2 50
14.3%
3 47
13.4%
1 40
 
11.4%
0 35
 
10.0%
9 26
 
7.4%
8 22
 
6.3%
7 11
 
3.1%
5 6
 
1.7%
4 1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 112
26.7%
- 70
16.7%
2 50
11.9%
3 47
11.2%
1 40
 
9.5%
0 35
 
8.3%
9 26
 
6.2%
8 22
 
5.2%
7 11
 
2.6%
5 6
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 112
26.7%
- 70
16.7%
2 50
11.9%
3 47
11.2%
1 40
 
9.5%
0 35
 
8.3%
9 26
 
6.2%
8 22
 
5.2%
7 11
 
2.6%
5 6
 
1.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-03-12
35 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-12
2nd row2024-03-12
3rd row2024-03-12
4th row2024-03-12
5th row2024-03-12

Common Values

ValueCountFrequency (%)
2024-03-12 35
100.0%

Length

2024-04-06T17:16:33.676807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:16:34.030577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-12 35
100.0%

Interactions

2024-04-06T17:16:22.713897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:21.261572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:21.917676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:22.989441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:21.491346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:22.125849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:23.228319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:21.684074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:16:22.403210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:16:34.200808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업명위치사업개요사업기간(시작년도)사업기간(종료년도)총사업비(백만원)담당부서담당자전화번호
연번1.0001.0001.0001.0000.3640.5450.5720.9320.831
사업명1.0001.0001.0001.0001.0001.0001.0001.0001.000
위치1.0001.0001.0001.0001.0001.0001.0001.0001.000
사업개요1.0001.0001.0001.0001.0001.0001.0001.0001.000
사업기간(시작년도)0.3641.0001.0001.0001.0000.6250.7700.6170.619
사업기간(종료년도)0.5451.0001.0001.0000.6251.0000.5580.0000.000
총사업비(백만원)0.5721.0001.0001.0000.7700.5581.0000.4270.685
담당부서0.9321.0001.0001.0000.6170.0000.4271.0001.000
담당자전화번호0.8311.0001.0001.0000.6190.0000.6851.0001.000
2024-04-06T17:16:34.614478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업기간(종료년도)담당부서
사업기간(종료년도)1.0000.000
담당부서0.0001.000
2024-04-06T17:16:34.851965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업기간(시작년도)총사업비(백만원)사업기간(종료년도)담당부서
연번1.0000.645-0.2000.2090.788
사업기간(시작년도)0.6451.000-0.4220.4520.266
총사업비(백만원)-0.200-0.4221.0000.4100.167
사업기간(종료년도)0.2090.4520.4101.0000.000
담당부서0.7880.2660.1670.0001.000

Missing values

2024-04-06T17:16:23.626409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:16:24.229069image/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.

Sample

연번사업명위치사업개요사업기간(시작년도)사업기간(종료년도)총사업비(백만원)담당부서담당자전화번호데이터기준일자
01북부순환도로 개설광주광역시 북구 용두동~장등동L=6.74km, B=20~35m20072028178768토목1팀062-613-68812024-03-12
12상무지구~첨단산단간 도로개설광주광역시 서구 유촌동~광산구 산월동L=4.98㎞, B=21~27.5m20162026197680토목1팀062-613-68822024-03-12
23월전동~무진로간 도로개설광주광역시 광산구 월전동~우산동L=6.25km, B=21.5~31m(4차로)2016202689892토목1팀062-613-68932024-03-12
34경찰청사~상무로간 도로개설광주광역시 광산구 소촌동 일원L=1.03km, B=35m(6차로)2010202578400토목1팀062-613-68812024-03-12
45금호코아루~U대회 진입로간 도로개설광주광역시 서구 금호동, 마륵동 일원L=620m, B=20m2017202527500토목1팀062-613-68752024-03-12
56풍암유통단지~송원고간 도로개설광주광역시 서구 매월동 풍암유통단지 일원L=203m, B=20m201920254872토목1팀062-613-68762024-03-12
67문화전당 주변도로(광산길) 확장광주광역시 동구 광산동 일원L=215m, B=12→25m2020202431757토목1팀062-613-68952024-03-12
78신창2제 주변 도로개설광주광역시 광산구 신창동 신창2제 주변L=200m, B=20m201820245745토목1팀062-613-68772024-03-12
89금호로렌시아~매월동아델리움 간 도로개설광주광역시 서구 금호동 로렌시아@~매월동 아델리움@L=505m, B=20m2018202519400토목1팀062-613-68962024-03-12
910제2순환도로 진월IC 진출입로 개선사업광주광역시 남구 진월동 일원진출입로 신설 L=0.94km, B=6.5m2016202417320토목1팀062-613-68752024-03-12
연번사업명위치사업개요사업기간(시작년도)사업기간(종료년도)총사업비(백만원)담당부서담당자전화번호데이터기준일자
2526서창1분구(1블럭) 하수관로 정비사업광주광역시 서구 화정3동·쌍촌동 일원분류식사업 A= 0.57㎢2021202546300토목2팀062-613-69262024-03-12
2627노후하수관로 정비사업(2차,2단계)광주광역시 관내 하수처리구역 내관로정비 22.9km2023202543848토목2팀062-613-69282024-03-12
2728차집관로(신가노선) 정비광주광역시 광산구 신가동 599-11 일원하수관로 설치 L=740m202220241845토목2팀062-613-69282024-03-12
2829동계천 주변 하수시설물 정비광주광역시 동구 지산동~동명동 일원계곡수 전용관로 신설 L=1.36㎞202220251493토목2팀062-613-69272024-03-12
2930하남일반산단 재생사업광주광역시 광산구 하남산단 내도로 구조개선 및 기반시설 정비 등 A=4870천㎡2016202543230토목3팀062-613-69392024-03-12
3031하남산단 완충저류시설 설치사업광주광역시 광산구 하남산단 일원완충저류시설 28000㎥, 차집관로 8316m2017202579521토목3팀062-613-69342024-03-12
3132평동산단 완충저류시설 설치사업광주광역시 광산구 평동산단 일원완충저류시설 설치 V=19,000㎥2021202442785토목3팀062-613-69322024-03-12
3233수완지구 비점오염저감시설 설치사업광주광역시 광산구 장덕동 일원비점오염저감시설 설치(식생형,침투형 시설 등)2020202615147토목3팀062-613-69332024-03-12
3334평동3차 공공폐수처리시설 2단계 건설공사광주광역시 광산구 연산동 1157 일원폐수처리시설 2단계 증설(Q=500㎥/일)202320253718토목3팀062-613-69332024-03-12
3435아시아 예술정원 조성사업광주광역시 북구 중외근린공원 일원56,200㎡(문화정원 39,000㎡, 놀이정원 15,000㎡, 하늘다리 2,200㎡)2023202419000토목3팀062-613-69362024-03-12