Overview

Dataset statistics

Number of variables6
Number of observations76
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory51.7 B

Variable types

Numeric2
Text1
DateTime2
Categorical1

Dataset

Description대구광역시 동구에서 2020년에서 2022년까지 추진한 정보화사업 현황에 대한 데이터로 정보화사업명, 사업시작, 사업종료, 정보화사업유형, 발주금액 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15117862/fileData.do

Alerts

순번 has unique valuesUnique
정보화사업명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:01:02.065138
Analysis finished2023-12-12 22:01:03.016708
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.5
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-13T07:01:03.107010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.75
Q119.75
median38.5
Q357.25
95-th percentile72.25
Maximum76
Range75
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation22.083176
Coefficient of variation (CV)0.57358899
Kurtosis-1.2
Mean38.5
Median Absolute Deviation (MAD)19
Skewness0
Sum2926
Variance487.66667
MonotonicityStrictly increasing
2023-12-13T07:01:03.268862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (66) 66
86.8%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%

정보화사업명
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-13T07:01:03.584260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length36
Mean length27.723684
Min length17

Characters and Unicode

Total characters2107
Distinct characters188
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

Unique76 ?
Unique (%)100.0%

Sample

1st row2022년 RFID 물품관리시스템 유지보수 용역
2nd row2022년 RFID기반 음식물류폐기물 종량제 관리시스템 유지보수 용역(CT-E01D)
3rd row2022년 RFID기반 음식물류폐기물 종량제 관리시스템 유지보수 용역(IW-M310S IW-M500)
4th row2022년 기록관리시스템 유지보수 용역
5th row2022년 민방위 전자통지 시스템 위탁 운영
ValueCountFrequency (%)
용역 59
 
14.7%
유지보수 54
 
13.5%
2021년 24
 
6.0%
2020년 20
 
5.0%
2022년 18
 
4.5%
홈페이지 7
 
1.7%
관리시스템 6
 
1.5%
통합유지보수 6
 
1.5%
기록관리시스템 6
 
1.5%
통합관제센터 6
 
1.5%
Other values (104) 195
48.6%
2023-12-13T07:01:04.150251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
325
 
15.4%
2 154
 
7.3%
0 92
 
4.4%
74
 
3.5%
73
 
3.5%
71
 
3.4%
69
 
3.3%
67
 
3.2%
66
 
3.1%
66
 
3.1%
Other values (178) 1050
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1371
65.1%
Space Separator 325
 
15.4%
Decimal Number 276
 
13.1%
Uppercase Letter 87
 
4.1%
Close Punctuation 14
 
0.7%
Open Punctuation 14
 
0.7%
Lowercase Letter 13
 
0.6%
Dash Punctuation 4
 
0.2%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
74
 
5.4%
73
 
5.3%
71
 
5.2%
69
 
5.0%
67
 
4.9%
66
 
4.8%
66
 
4.8%
64
 
4.7%
61
 
4.4%
60
 
4.4%
Other values (143) 700
51.1%
Uppercase Letter
ValueCountFrequency (%)
D 14
16.1%
I 14
16.1%
S 11
12.6%
R 10
11.5%
F 8
9.2%
W 6
6.9%
B 5
 
5.7%
A 4
 
4.6%
M 3
 
3.4%
P 3
 
3.4%
Other values (6) 9
10.3%
Lowercase Letter
ValueCountFrequency (%)
r 4
30.8%
c 2
15.4%
e 1
 
7.7%
o 1
 
7.7%
f 1
 
7.7%
m 1
 
7.7%
i 1
 
7.7%
p 1
 
7.7%
a 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 154
55.8%
0 92
33.3%
1 28
 
10.1%
3 1
 
0.4%
5 1
 
0.4%
Space Separator
ValueCountFrequency (%)
325
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1371
65.1%
Common 636
30.2%
Latin 100
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
74
 
5.4%
73
 
5.3%
71
 
5.2%
69
 
5.0%
67
 
4.9%
66
 
4.8%
66
 
4.8%
64
 
4.7%
61
 
4.4%
60
 
4.4%
Other values (143) 700
51.1%
Latin
ValueCountFrequency (%)
D 14
14.0%
I 14
14.0%
S 11
11.0%
R 10
10.0%
F 8
 
8.0%
W 6
 
6.0%
B 5
 
5.0%
r 4
 
4.0%
A 4
 
4.0%
M 3
 
3.0%
Other values (15) 21
21.0%
Common
ValueCountFrequency (%)
325
51.1%
2 154
24.2%
0 92
 
14.5%
1 28
 
4.4%
) 14
 
2.2%
( 14
 
2.2%
- 4
 
0.6%
/ 3
 
0.5%
3 1
 
0.2%
5 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1371
65.1%
ASCII 736
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
325
44.2%
2 154
20.9%
0 92
 
12.5%
1 28
 
3.8%
) 14
 
1.9%
( 14
 
1.9%
D 14
 
1.9%
I 14
 
1.9%
S 11
 
1.5%
R 10
 
1.4%
Other values (25) 60
 
8.2%
Hangul
ValueCountFrequency (%)
74
 
5.4%
73
 
5.3%
71
 
5.2%
69
 
5.0%
67
 
4.9%
66
 
4.8%
66
 
4.8%
64
 
4.7%
61
 
4.4%
60
 
4.4%
Other values (143) 700
51.1%
Distinct14
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size740.0 B
Minimum2020-01-01 00:00:00
Maximum2022-04-01 00:00:00
2023-12-13T07:01:04.278549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:01:04.412232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
Distinct14
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size740.0 B
Minimum2020-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-13T07:01:04.561404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:01:04.694890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
Distinct4
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
운영유지보수
53 
기타
13 
장비구입 및 임차
SW개발
 
2

Length

Max length9
Median length6
Mean length5.5789474
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영유지보수
2nd row기타
3rd row기타
4th row운영유지보수
5th row장비구입 및 임차

Common Values

ValueCountFrequency (%)
운영유지보수 53
69.7%
기타 13
 
17.1%
장비구입 및 임차 8
 
10.5%
SW개발 2
 
2.6%

Length

2023-12-13T07:01:04.831504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:01:04.955126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영유지보수 53
57.6%
기타 13
 
14.1%
장비구입 8
 
8.7%
8
 
8.7%
임차 8
 
8.7%
sw개발 2
 
2.2%
Distinct64
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34208.092
Minimum1283
Maximum211065
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-13T07:01:05.099638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1283
5-th percentile1764
Q13018
median9933
Q319937.5
95-th percentile178756.5
Maximum211065
Range209782
Interquartile range (IQR)16919.5

Descriptive statistics

Standard deviation56616.731
Coefficient of variation (CV)1.6550684
Kurtosis2.6453941
Mean34208.092
Median Absolute Deviation (MAD)7875.5
Skewness1.988133
Sum2599815
Variance3.2054543 × 109
MonotonicityNot monotonic
2023-12-13T07:01:05.569988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2030 3
 
3.9%
7614 3
 
3.9%
15000 3
 
3.9%
3000 2
 
2.6%
2324 2
 
2.6%
2750 2
 
2.6%
1764 2
 
2.6%
1800 2
 
2.6%
1283 2
 
2.6%
12790 1
 
1.3%
Other values (54) 54
71.1%
ValueCountFrequency (%)
1283 2
2.6%
1700 1
 
1.3%
1764 2
2.6%
1782 1
 
1.3%
1800 2
2.6%
2000 1
 
1.3%
2030 3
3.9%
2085 1
 
1.3%
2324 2
2.6%
2750 2
2.6%
ValueCountFrequency (%)
211065 1
1.3%
206158 1
1.3%
189935 1
1.3%
185796 1
1.3%
176410 1
1.3%
150353 1
1.3%
149798 1
1.3%
138564 1
1.3%
128037 1
1.3%
124020 1
1.3%

Interactions

2023-12-13T07:01:02.583390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:01:02.355943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:01:02.675927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:01:02.474630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:01:05.664317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번정보화사업명사업시작년월사업종료년월정보화사업유형사업발주금액(천원)
순번1.0001.0000.7970.7780.0000.000
정보화사업명1.0001.0001.0001.0001.0001.000
사업시작년월0.7971.0001.0000.9760.7990.696
사업종료년월0.7781.0000.9761.0000.8430.410
정보화사업유형0.0001.0000.7990.8431.0000.154
사업발주금액(천원)0.0001.0000.6960.4100.1541.000
2023-12-13T07:01:05.790864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업발주금액(천원)정보화사업유형
순번1.0000.0410.000
사업발주금액(천원)0.0411.0000.096
정보화사업유형0.0000.0961.000

Missing values

2023-12-13T07:01:02.802260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:01:02.958487image/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

순번정보화사업명사업시작년월사업종료년월정보화사업유형사업발주금액(천원)
012022년 RFID 물품관리시스템 유지보수 용역2022-012022-12운영유지보수2030
122022년 RFID기반 음식물류폐기물 종량제 관리시스템 유지보수 용역(CT-E01D)2022-012022-12기타19920
232022년 RFID기반 음식물류폐기물 종량제 관리시스템 유지보수 용역(IW-M310S IW-M500)2022-012022-12기타22127
342022년 기록관리시스템 유지보수 용역2022-012022-12운영유지보수19888
452022년 민방위 전자통지 시스템 위탁 운영2022-022022-12장비구입 및 임차13633
562022년 보안등 관리시스템 구축 및 관리 용역2022-012022-12장비구입 및 임차3960
672022년 부동산종합공부시스템(MapPrime for KRAS) 유지보수 용역2022-012022-12운영유지보수9240
782022년 세외수입 납부시스템 유지보수 용역2022-012022-12운영유지보수12672
892022년 자동차과태료납부시스템 유지보수 용역2022-012022-12운영유지보수14124
9102022년 전통사찰 방재시스템 유지보수 용역(관음사-관암사)2022-042022-12운영유지보수12790
순번정보화사업명사업시작년월사업종료년월정보화사업유형사업발주금액(천원)
66672020년 통합관제센터 관제시스템 유지보수 용역2020-012020-12운영유지보수176410
67682020년 통합관제센터 현장시스템 유지보수 용역2020-012020-12운영유지보수206158
68692020년 행정정보시스템 통합유지보수 용역2020-012020-12운영유지보수124020
69702020년 환경미화원 인사급여시스템 유지보수 용역2020-012020-12운영유지보수3000
70712020년도 전통사찰 방재시스템 유지보수 용역(관음사 관암사)2020-062020-12운영유지보수10590
7172대구광역시 동구 도시계획정보체계(UPIS) DB구축 용역2020-032020-12기타19990
7273대표홈페이지 반응형 웹 구현 및 디자인 개편 용역2020-072020-09운영유지보수20000
7374봉무공원 AR프로그램 개발 용역2020-042020-07SW개발22000
7475행정정보시스템 통합스토리지 교체2020-042020-06장비구입 및 임차149798
75762020년 기록관리시스템 백신 S/W 구매2020-012020-01운영유지보수15000