Overview

Dataset statistics

Number of variables5
Number of observations1279
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.6 KiB
Average record size in memory42.1 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description해당 데이터는 인천광역시 남동구의 의류수거함 현황에 관련된 자료로서, 인천광역시 남동구 의류수거함 현황의 연번, 관내 의류수거함 위치, 일련번호, 설치위치의 정보를 확인할 수 있다.<br/>
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15104008&srcSe=7661IVAWM27C61E190

Alerts

설치연도 has constant value ""Constant
연번 is highly overall correlated with 관내 의류수거함 위치High correlation
관내 의류수거함 위치 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 01:25:52.778997
Analysis finished2024-03-18 01:25:53.553146
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1279
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean640
Minimum1
Maximum1279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2024-03-18T10:25:53.610557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile64.9
Q1320.5
median640
Q3959.5
95-th percentile1215.1
Maximum1279
Range1278
Interquartile range (IQR)639

Descriptive statistics

Standard deviation369.35981
Coefficient of variation (CV)0.5771247
Kurtosis-1.2
Mean640
Median Absolute Deviation (MAD)320
Skewness0
Sum818560
Variance136426.67
MonotonicityStrictly increasing
2024-03-18T10:25:53.719892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
2 1
 
0.1%
859 1
 
0.1%
858 1
 
0.1%
857 1
 
0.1%
856 1
 
0.1%
855 1
 
0.1%
854 1
 
0.1%
853 1
 
0.1%
852 1
 
0.1%
Other values (1269) 1269
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1279 1
0.1%
1278 1
0.1%
1277 1
0.1%
1276 1
0.1%
1275 1
0.1%
1274 1
0.1%
1273 1
0.1%
1272 1
0.1%
1271 1
0.1%
1270 1
0.1%

관내 의류수거함 위치
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
구월3동
157 
간석3동
126 
만수5동
114 
구월1동
96 
구월4동
88 
Other values (16)
698 

Length

Max length5
Median length4
Mean length4.0062549
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row간석1동
2nd row간석1동
3rd row간석1동
4th row간석1동
5th row간석1동

Common Values

ValueCountFrequency (%)
구월3동 157
12.3%
간석3동 126
 
9.9%
만수5동 114
 
8.9%
구월1동 96
 
7.5%
구월4동 88
 
6.9%
만수1동 80
 
6.3%
간석4동 72
 
5.6%
장수서창동 68
 
5.3%
구월2동 59
 
4.6%
만수3동 56
 
4.4%
Other values (11) 363
28.4%

Length

2024-03-18T10:25:53.824563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구월3동 157
12.3%
간석3동 126
 
9.9%
만수5동 114
 
8.9%
구월1동 96
 
7.5%
구월4동 88
 
6.9%
만수1동 80
 
6.3%
간석4동 72
 
5.6%
장수서창동 68
 
5.3%
구월2동 59
 
4.6%
만수3동 56
 
4.4%
Other values (11) 363
28.4%

일련번호
Text

Distinct1227
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
2024-03-18T10:25:54.021398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.9218139
Min length4

Characters and Unicode

Total characters8853
Distinct characters29
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

Unique1185 ?
Unique (%)92.7%

Sample

1st row간석1동-1
2nd row간석1동-2
3rd row간석1동-3
4th row간석1동-4
5th row간석1동-5
ValueCountFrequency (%)
서창2동 12
 
0.9%
간석4동-37 2
 
0.2%
간석4동-30 2
 
0.2%
간석4동-21 2
 
0.2%
간석4동-38 2
 
0.2%
간석4동-36 2
 
0.2%
간석4동-35 2
 
0.2%
간석4동-34 2
 
0.2%
간석4동-33 2
 
0.2%
간석4동-32 2
 
0.2%
Other values (1217) 1249
97.7%
2024-03-18T10:25:54.336420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1279
14.4%
- 1267
14.3%
1 684
 
7.7%
3 662
 
7.5%
2 548
 
6.2%
수 442
 
5.0%
4 431
 
4.9%
월 400
 
4.5%
구 400
 
4.5%
만 374
 
4.2%
Other values (19) 2366
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3993
45.1%
Decimal Number 3593
40.6%
Dash Punctuation 1267
 
14.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1279
32.0%
수 442
 
11.1%
월 400
 
10.0%
구 400
 
10.0%
만 374
 
9.4%
석 264
 
6.6%
간 264
 
6.6%
현 91
 
2.3%
논 91
 
2.3%
서 80
 
2.0%
Other values (8) 308
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 684
19.0%
3 662
18.4%
2 548
15.3%
4 431
12.0%
5 340
9.5%
6 267
 
7.4%
7 205
 
5.7%
8 163
 
4.5%
0 147
 
4.1%
9 146
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 1267
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4860
54.9%
Hangul 3993
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1279
32.0%
수 442
 
11.1%
월 400
 
10.0%
구 400
 
10.0%
만 374
 
9.4%
석 264
 
6.6%
간 264
 
6.6%
현 91
 
2.3%
논 91
 
2.3%
서 80
 
2.0%
Other values (8) 308
 
7.7%
Common
ValueCountFrequency (%)
- 1267
26.1%
1 684
14.1%
3 662
13.6%
2 548
11.3%
4 431
 
8.9%
5 340
 
7.0%
6 267
 
5.5%
7 205
 
4.2%
8 163
 
3.4%
0 147
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4860
54.9%
Hangul 3993
45.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1279
32.0%
수 442
 
11.1%
월 400
 
10.0%
구 400
 
10.0%
만 374
 
9.4%
석 264
 
6.6%
간 264
 
6.6%
현 91
 
2.3%
논 91
 
2.3%
서 80
 
2.0%
Other values (8) 308
 
7.7%
ASCII
ValueCountFrequency (%)
- 1267
26.1%
1 684
14.1%
3 662
13.6%
2 548
11.3%
4 431
 
8.9%
5 340
 
7.0%
6 267
 
5.5%
7 205
 
4.2%
8 163
 
3.4%
0 147
 
3.0%

설치위치
Text

Distinct1254
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
2024-03-18T10:25:54.616696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length21.296325
Min length14

Characters and Unicode

Total characters27238
Distinct characters121
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1231 ?
Unique (%)96.2%

Sample

1st row인천광역시 남동구 경인로 524번길 17
2nd row인천광역시 남동구 문화로 245번길 12
3rd row인천광역시 남동구 경인로 552번길 40
4th row인천광역시 남동구 문화로 239
5th row인천광역시 남동구 문화로 245번길 2
ValueCountFrequency (%)
인천광역시 1279
21.9%
남동구 1279
21.9%
구월말로 72
 
1.2%
인주대로 65
 
1.1%
용천로 61
 
1.0%
구월남로 58
 
1.0%
문화서로 50
 
0.9%
백범로 49
 
0.8%
석산로 47
 
0.8%
경인로 41
 
0.7%
Other values (943) 2845
48.7%
2024-03-18T10:25:55.005195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4576
16.8%
구 1465
 
5.4%
남 1433
 
5.3%
동 1427
 
5.2%
인 1409
 
5.2%
천 1346
 
4.9%
역 1291
 
4.7%
시 1279
 
4.7%
광 1279
 
4.7%
로 1214
 
4.5%
Other values (111) 10519
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16620
61.0%
Decimal Number 5572
 
20.5%
Space Separator 4576
 
16.8%
Dash Punctuation 466
 
1.7%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1465
8.8%
남 1433
8.6%
동 1427
8.6%
인 1409
8.5%
천 1346
 
8.1%
역 1291
 
7.8%
시 1279
 
7.7%
광 1279
 
7.7%
로 1214
 
7.3%
번 973
 
5.9%
Other values (97) 3504
21.1%
Decimal Number
ValueCountFrequency (%)
1 1082
19.4%
2 824
14.8%
3 593
10.6%
5 542
9.7%
4 523
9.4%
6 476
8.5%
7 443
8.0%
8 374
 
6.7%
9 363
 
6.5%
0 352
 
6.3%
Space Separator
ValueCountFrequency (%)
4576
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 466
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16620
61.0%
Common 10618
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1465
8.8%
남 1433
8.6%
동 1427
8.6%
인 1409
8.5%
천 1346
 
8.1%
역 1291
 
7.8%
시 1279
 
7.7%
광 1279
 
7.7%
로 1214
 
7.3%
번 973
 
5.9%
Other values (97) 3504
21.1%
Common
ValueCountFrequency (%)
4576
43.1%
1 1082
 
10.2%
2 824
 
7.8%
3 593
 
5.6%
5 542
 
5.1%
4 523
 
4.9%
6 476
 
4.5%
- 466
 
4.4%
7 443
 
4.2%
8 374
 
3.5%
Other values (4) 719
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16620
61.0%
ASCII 10618
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4576
43.1%
1 1082
 
10.2%
2 824
 
7.8%
3 593
 
5.6%
5 542
 
5.1%
4 523
 
4.9%
6 476
 
4.5%
- 466
 
4.4%
7 443
 
4.2%
8 374
 
3.5%
Other values (4) 719
 
6.8%
Hangul
ValueCountFrequency (%)
구 1465
8.8%
남 1433
8.6%
동 1427
8.6%
인 1409
8.5%
천 1346
 
8.1%
역 1291
 
7.8%
시 1279
 
7.7%
광 1279
 
7.7%
로 1214
 
7.3%
번 973
 
5.9%
Other values (97) 3504
21.1%

설치연도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
2020
1279 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 1279
100.0%

Length

2024-03-18T10:25:55.108405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T10:25:55.189075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 1279
100.0%

Interactions

2024-03-18T10:25:53.317499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T10:25:55.256907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관내 의류수거함 위치
연번1.0000.972
관내 의류수거함 위치0.9721.000
2024-03-18T10:25:55.332578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관내 의류수거함 위치
연번1.0000.839
관내 의류수거함 위치0.8391.000

Missing values

2024-03-18T10:25:53.445140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T10:25:53.520760image/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

연번관내 의류수거함 위치일련번호설치위치설치연도
01간석1동간석1동-1인천광역시 남동구 경인로 524번길 172020
12간석1동간석1동-2인천광역시 남동구 문화로 245번길 122020
23간석1동간석1동-3인천광역시 남동구 경인로 552번길 402020
34간석1동간석1동-4인천광역시 남동구 문화로 2392020
45간석1동간석1동-5인천광역시 남동구 문화로 245번길 22020
56간석1동간석1동-6인천광역시 남동구 문화로 2512020
67간석1동간석1동-7인천광역시 남동구 경인로 552번길 22-12020
78간석1동간석1동-8인천광역시 남동구 경인로 552번길 22-122020
89간석1동간석1동-9인천광역시 남동구 경인로 540-102020
910간석1동간석1동-10인천광역시 남동구 문화로 245번길 30-12020
연번관내 의류수거함 위치일련번호설치위치설치연도
12691270남촌동남촌동-24인천광역시 남동구 남촌로 88-82020
12701271남촌동남촌동-25인천광역시 남동구 남촌로 84번길 312020
12711272남촌동남촌동-26인천광역시 남동구 남촌로 12020
12721273남촌동남촌동-27인천광역시 남동구 남촌로 75번길 3-12020
12731274남촌동남촌동-28인천광역시 남동구 남촌로 69번길 6-192020
12741275남촌동남촌동-29인천광역시 남동구 남촌로 93번길 622020
12751276남촌동남촌동-30인천광역시 남동구 남촌로 93번길 362020
12761277남촌동남촌동-31인천광역시 남동구 남촌로 91 5동 앞2020
12771278남촌동남촌동-32인천광역시 남동구 남촌로 91 1동 앞2020
12781279남촌동남촌동-33인천광역시 남동구 남촌로 87-72020