Overview

Dataset statistics

Number of variables3
Number of observations84
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory26.5 B

Variable types

Numeric1
Categorical1
Text1

Dataset

Description강남구도시관리공단의 주요 업무 계획입니다. 본 정보를 통해 각 부서에서 추진하는 연간 사업을 확인하실 수 있습니다.
Author강남구도시관리공단
URLhttps://www.data.go.kr/data/15126920/fileData.do

Alerts

연번 is highly overall correlated with 부서명High correlation
부서명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:01:38.113382
Analysis finished2024-03-14 18:01:39.040855
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.5
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size884.0 B
2024-03-15T03:01:39.268891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.15
Q121.75
median42.5
Q363.25
95-th percentile79.85
Maximum84
Range83
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation24.392622
Coefficient of variation (CV)0.57394404
Kurtosis-1.2
Mean42.5
Median Absolute Deviation (MAD)21
Skewness0
Sum3570
Variance595
MonotonicityStrictly increasing
2024-03-15T03:01:39.521748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
55 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
Other values (74) 74
88.1%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%

부서명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size800.0 B
체육사업1팀
13 
체육사업2팀
12 
안전감사팀
11 
교육사업팀
10 
경영기획팀
Other values (4)
29 

Length

Max length6
Median length5
Mean length5.297619
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육사업1팀 13
15.5%
체육사업2팀 12
14.3%
안전감사팀 11
13.1%
교육사업팀 10
11.9%
경영기획팀 9
10.7%
주차사업팀 9
10.7%
경영관리팀 8
9.5%
주차관리팀 7
8.3%
시설관리팀 5
 
6.0%

Length

2024-03-15T03:01:39.926083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:01:40.309347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육사업1팀 13
15.5%
체육사업2팀 12
14.3%
안전감사팀 11
13.1%
교육사업팀 10
11.9%
경영기획팀 9
10.7%
주차사업팀 9
10.7%
경영관리팀 8
9.5%
주차관리팀 7
8.3%
시설관리팀 5
 
6.0%
Distinct74
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size800.0 B
2024-03-15T03:01:41.485020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length21.535714
Min length7

Characters and Unicode

Total characters1809
Distinct characters246
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)76.2%

Sample

1st row부패방지경영시스템(ISO37001)인증 사후심사
2nd row윤리경영 및 반부패 청렴제도 운영
3rd row소통하고 하나 되는 친절경영 계획
4th row공정사회 구현 추진 교육 활성화
5th row인권경영 우수기업 인증 갱신 심사
ValueCountFrequency (%)
위한 32
 
7.3%
운영 26
 
5.9%
추진 13
 
3.0%
10
 
2.3%
통한 10
 
2.3%
실시 7
 
1.6%
지역사회 6
 
1.4%
홍보 5
 
1.1%
강화 5
 
1.1%
사회공헌활동 5
 
1.1%
Other values (245) 320
72.9%
2024-03-15T03:01:42.995776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
356
 
19.7%
51
 
2.8%
46
 
2.5%
35
 
1.9%
32
 
1.8%
32
 
1.8%
32
 
1.8%
30
 
1.7%
25
 
1.4%
24
 
1.3%
Other values (236) 1146
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1420
78.5%
Space Separator 356
 
19.7%
Other Punctuation 10
 
0.6%
Uppercase Letter 8
 
0.4%
Lowercase Letter 6
 
0.3%
Decimal Number 6
 
0.3%
Close Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
51
 
3.6%
46
 
3.2%
35
 
2.5%
32
 
2.3%
32
 
2.3%
32
 
2.3%
30
 
2.1%
25
 
1.8%
24
 
1.7%
24
 
1.7%
Other values (214) 1089
76.7%
Uppercase Letter
ValueCountFrequency (%)
I 2
25.0%
T 1
12.5%
B 1
12.5%
M 1
12.5%
E 1
12.5%
O 1
12.5%
S 1
12.5%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
o 1
16.7%
p 1
16.7%
r 1
16.7%
t 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
0 2
33.3%
7 1
16.7%
3 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 7
70.0%
· 3
30.0%
Space Separator
ValueCountFrequency (%)
356
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1420
78.5%
Common 375
 
20.7%
Latin 14
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
51
 
3.6%
46
 
3.2%
35
 
2.5%
32
 
2.3%
32
 
2.3%
32
 
2.3%
30
 
2.1%
25
 
1.8%
24
 
1.7%
24
 
1.7%
Other values (214) 1089
76.7%
Latin
ValueCountFrequency (%)
s 2
14.3%
I 2
14.3%
T 1
7.1%
B 1
7.1%
M 1
7.1%
o 1
7.1%
E 1
7.1%
p 1
7.1%
r 1
7.1%
t 1
7.1%
Other values (2) 2
14.3%
Common
ValueCountFrequency (%)
356
94.9%
, 7
 
1.9%
· 3
 
0.8%
1 2
 
0.5%
0 2
 
0.5%
) 1
 
0.3%
7 1
 
0.3%
- 1
 
0.3%
3 1
 
0.3%
( 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1420
78.5%
ASCII 386
 
21.3%
None 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
356
92.2%
, 7
 
1.8%
s 2
 
0.5%
1 2
 
0.5%
I 2
 
0.5%
0 2
 
0.5%
) 1
 
0.3%
T 1
 
0.3%
B 1
 
0.3%
M 1
 
0.3%
Other values (11) 11
 
2.8%
Hangul
ValueCountFrequency (%)
51
 
3.6%
46
 
3.2%
35
 
2.5%
32
 
2.3%
32
 
2.3%
32
 
2.3%
30
 
2.1%
25
 
1.8%
24
 
1.7%
24
 
1.7%
Other values (214) 1089
76.7%
None
ValueCountFrequency (%)
· 3
100.0%

Interactions

2024-03-15T03:01:38.388525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:01:43.268673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번부서명사업명
연번1.0000.9550.000
부서명0.9551.0000.841
사업명0.0000.8411.000
2024-03-15T03:01:43.860161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번부서명
연번1.0000.835
부서명0.8351.000

Missing values

2024-03-15T03:01:38.697113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:01:38.942922image/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

연번부서명사업명
01안전감사팀부패방지경영시스템(ISO37001)인증 사후심사
12안전감사팀윤리경영 및 반부패 청렴제도 운영
23안전감사팀소통하고 하나 되는 친절경영 계획
34안전감사팀공정사회 구현 추진 교육 활성화
45안전감사팀인권경영 우수기업 인증 갱신 심사
56안전감사팀적극행정 운영 활성화
67안전감사팀민원 사전예보제 실시
78안전감사팀안전문화 및 환경 조성을 통한 중대재해 예방 활동 강화
89안전감사팀산업 및 생활안전을 위한 보건관리 운영
910안전감사팀중대재해예방 산업안전보건체계 확립
연번부서명사업명
7475교육사업팀부서 맞춤형 청렴 강조 기간 운영
7576교육사업팀평생학습 활성화를 위한 매니저 양성,운영
7677교육사업팀비정기 강좌 공모제 운영
7778교육사업팀청담평생학습관 엘리베이터 교체
7879교육사업팀보육교직원 역량 강화를 위한 MBTI 교육
7980교육사업팀환경보호 실천 위한 이벤트 추진
8081교육사업팀사회적약자를 위한 사회공헌활동
8182교육사업팀운영요원 업무 역량 강화로 안전한 실내놀이터 운영
8283교육사업팀안전한 시설관리를 위한 시설물 정기점검 실시
8384교육사업팀평생학습관 정규강좌 운영 효율화