Overview

Dataset statistics

Number of variables4
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory825.0 B
Average record size in memory39.3 B

Variable types

Numeric1
Text3

Dataset

Description인천광역시 연수구 폐기물 무단투기 CCTV 설치현황 데이터로서 연번, 관리번호, 지번주소, 상세주소 등의 항목으로 이루어져 있습니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15116350&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:20:56.113329
Analysis finished2024-01-28 16:20:56.485619
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-29T01:20:56.531110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2024-01-29T01:20:56.620696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

관리번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-29T01:20:56.794463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters189
Distinct characters15
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row연수-SM-001
2nd row연수-SM-002
3rd row연수-SM-003
4th row연수-SM-004
5th row연수-SM-005
ValueCountFrequency (%)
연수-sm-001 1
 
4.8%
연수-sm-012 1
 
4.8%
연수-sm-020 1
 
4.8%
연수-sm-019 1
 
4.8%
연수-sm-018 1
 
4.8%
연수-sm-017 1
 
4.8%
연수-sm-016 1
 
4.8%
연수-sm-015 1
 
4.8%
연수-sm-014 1
 
4.8%
연수-sm-013 1
 
4.8%
Other values (11) 11
52.4%
2024-01-29T01:20:57.046794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 42
22.2%
0 32
16.9%
연 21
11.1%
수 21
11.1%
S 21
11.1%
M 21
11.1%
1 13
 
6.9%
2 4
 
2.1%
3 2
 
1.1%
4 2
 
1.1%
Other values (5) 10
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63
33.3%
Dash Punctuation 42
22.2%
Other Letter 42
22.2%
Uppercase Letter 42
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
50.8%
1 13
20.6%
2 4
 
6.3%
3 2
 
3.2%
4 2
 
3.2%
5 2
 
3.2%
6 2
 
3.2%
7 2
 
3.2%
8 2
 
3.2%
9 2
 
3.2%
Other Letter
ValueCountFrequency (%)
연 21
50.0%
수 21
50.0%
Uppercase Letter
ValueCountFrequency (%)
S 21
50.0%
M 21
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 105
55.6%
Hangul 42
 
22.2%
Latin 42
 
22.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 42
40.0%
0 32
30.5%
1 13
 
12.4%
2 4
 
3.8%
3 2
 
1.9%
4 2
 
1.9%
5 2
 
1.9%
6 2
 
1.9%
7 2
 
1.9%
8 2
 
1.9%
Hangul
ValueCountFrequency (%)
연 21
50.0%
수 21
50.0%
Latin
ValueCountFrequency (%)
S 21
50.0%
M 21
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 147
77.8%
Hangul 42
 
22.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 42
28.6%
0 32
21.8%
S 21
14.3%
M 21
14.3%
1 13
 
8.8%
2 4
 
2.7%
3 2
 
1.4%
4 2
 
1.4%
5 2
 
1.4%
6 2
 
1.4%
Other values (3) 6
 
4.1%
Hangul
ValueCountFrequency (%)
연 21
50.0%
수 21
50.0%

지번주소
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-29T01:20:57.194088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length19.190476
Min length16

Characters and Unicode

Total characters403
Distinct characters27
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)81.0%

Sample

1st row인천광역시 연수구 연수동 579-3
2nd row인천광역시 연수구 동춘동 857-23
3rd row인천광역시 연수구 옥련동 194-296
4th row인천광역시 연수구 청학동 498-14
5th row인천광역시 연수구 청학동 468-1
ValueCountFrequency (%)
인천광역시 21
25.3%
연수구 21
25.3%
청학동 9
10.8%
연수동 5
 
6.0%
옥련동 4
 
4.8%
579-3 2
 
2.4%
499-3 2
 
2.4%
512-4 1
 
1.2%
502-2 1
 
1.2%
58-2 1
 
1.2%
Other values (16) 16
19.3%
2024-01-29T01:20:57.709533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
15.4%
연 26
 
6.5%
수 26
 
6.5%
동 23
 
5.7%
인 21
 
5.2%
천 21
 
5.2%
광 21
 
5.2%
역 21
 
5.2%
시 21
 
5.2%
구 21
 
5.2%
Other values (17) 140
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 231
57.3%
Decimal Number 90
 
22.3%
Space Separator 62
 
15.4%
Dash Punctuation 20
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 26
11.3%
수 26
11.3%
동 23
10.0%
인 21
9.1%
천 21
9.1%
광 21
9.1%
역 21
9.1%
시 21
9.1%
구 21
9.1%
학 10
 
4.3%
Other values (5) 20
8.7%
Decimal Number
ValueCountFrequency (%)
2 14
15.6%
5 13
14.4%
4 13
14.4%
9 12
13.3%
1 11
12.2%
3 9
10.0%
8 7
7.8%
6 5
 
5.6%
7 4
 
4.4%
0 2
 
2.2%
Space Separator
ValueCountFrequency (%)
62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 231
57.3%
Common 172
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 26
11.3%
수 26
11.3%
동 23
10.0%
인 21
9.1%
천 21
9.1%
광 21
9.1%
역 21
9.1%
시 21
9.1%
구 21
9.1%
학 10
 
4.3%
Other values (5) 20
8.7%
Common
ValueCountFrequency (%)
62
36.0%
- 20
 
11.6%
2 14
 
8.1%
5 13
 
7.6%
4 13
 
7.6%
9 12
 
7.0%
1 11
 
6.4%
3 9
 
5.2%
8 7
 
4.1%
6 5
 
2.9%
Other values (2) 6
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 231
57.3%
ASCII 172
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
36.0%
- 20
 
11.6%
2 14
 
8.1%
5 13
 
7.6%
4 13
 
7.6%
9 12
 
7.0%
1 11
 
6.4%
3 9
 
5.2%
8 7
 
4.1%
6 5
 
2.9%
Other values (2) 6
 
3.5%
Hangul
ValueCountFrequency (%)
연 26
11.3%
수 26
11.3%
동 23
10.0%
인 21
9.1%
천 21
9.1%
광 21
9.1%
역 21
9.1%
시 21
9.1%
구 21
9.1%
학 10
 
4.3%
Other values (5) 20
8.7%

상세주소
Text

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-29T01:20:57.844079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length8.3809524
Min length3

Characters and Unicode

Total characters176
Distinct characters77
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)71.4%

Sample

1st row탑피온 빌딩 부근
2nd row건물 옆 가로등
3rd row골목길
4th row고운요양병원 앞
5th row다르네 닭강정 앞
ValueCountFrequency (%)
부근 14
28.6%
앞 5
 
10.2%
탑피온 2
 
4.1%
연수구 2
 
4.1%
선관위 2
 
4.1%
한전주 2
 
4.1%
빌딩 2
 
4.1%
가로등 1
 
2.0%
현대자동차 1
 
2.0%
고운요양병원 1
 
2.0%
Other values (17) 17
34.7%
2024-01-29T01:20:58.069549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
15.9%
근 15
 
8.5%
부 14
 
8.0%
원 7
 
4.0%
앞 5
 
2.8%
양 4
 
2.3%
공 3
 
1.7%
요 3
 
1.7%
물 3
 
1.7%
연 3
 
1.7%
Other values (67) 91
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
83.5%
Space Separator 28
 
15.9%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 15
 
10.2%
부 14
 
9.5%
원 7
 
4.8%
앞 5
 
3.4%
양 4
 
2.7%
공 3
 
2.0%
요 3
 
2.0%
물 3
 
2.0%
연 3
 
2.0%
빌 3
 
2.0%
Other values (65) 87
59.2%
Space Separator
ValueCountFrequency (%)
28
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
83.5%
Common 29
 
16.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 15
 
10.2%
부 14
 
9.5%
원 7
 
4.8%
앞 5
 
3.4%
양 4
 
2.7%
공 3
 
2.0%
요 3
 
2.0%
물 3
 
2.0%
연 3
 
2.0%
빌 3
 
2.0%
Other values (65) 87
59.2%
Common
ValueCountFrequency (%)
28
96.6%
2 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
83.5%
ASCII 29
 
16.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
96.6%
2 1
 
3.4%
Hangul
ValueCountFrequency (%)
근 15
 
10.2%
부 14
 
9.5%
원 7
 
4.8%
앞 5
 
3.4%
양 4
 
2.7%
공 3
 
2.0%
요 3
 
2.0%
물 3
 
2.0%
연 3
 
2.0%
빌 3
 
2.0%
Other values (65) 87
59.2%

Interactions

2024-01-29T01:20:56.274625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T01:20:58.150919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리번호지번주소상세주소
연번1.0001.0000.8120.697
관리번호1.0001.0001.0001.000
지번주소0.8121.0001.0001.000
상세주소0.6971.0001.0001.000

Missing values

2024-01-29T01:20:56.393773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:20:56.459486image/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

연번관리번호지번주소상세주소
01연수-SM-001인천광역시 연수구 연수동 579-3탑피온 빌딩 부근
12연수-SM-002인천광역시 연수구 동춘동 857-23건물 옆 가로등
23연수-SM-003인천광역시 연수구 옥련동 194-296골목길
34연수-SM-004인천광역시 연수구 청학동 498-14고운요양병원 앞
45연수-SM-005인천광역시 연수구 청학동 468-1다르네 닭강정 앞
56연수-SM-006인천광역시 연수구 청학동 532-3한전주 앞
67연수-SM-007인천광역시 연수구 옥련동 524-8한전주 앞
78연수-SM-008인천광역시 연수구 연수동 579-3탑피온 빌딩 부근
89연수-SM-009인천광역시 연수구 연수동 512-2카라반건물 앞
910연수-SM-010인천광역시 연수구 옥련동 262-3신양지빌라 부근
연번관리번호지번주소상세주소
1112연수-SM-012인천광역시 연수구 청학동 499-3연수구 선관위 부근
1213연수-SM-013인천광역시 연수구 청학동 499-3연수구 선관위 부근
1314연수-SM-014인천광역시 연수구 연수동 501-14마리공원 부근
1415연수-SM-015인천광역시 연수구 동춘동935나사렛국제병원 부근
1516연수-SM-016인천광역시 연수구 옥련동 462-85백산2차 아파트 부근
1617연수-SM-017인천광역시 연수구 청학동 546-12중앙어린이공원 부근
1718연수-SM-018인천광역시 연수구 청학동 498-11고은요양원 부근
1819연수-SM-019인천광역시 연수구 선학동 58-2해오름요양원 부근
1920연수-SM-020인천광역시 연수구 청학동 502-2청학근린공원 부근
2021연수-SM-021인천광역시 연수구 청학동 497-1현대자동차 연수중앙점 부근