Overview

Dataset statistics

Number of variables5
Number of observations1368
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.9 KiB
Average record size in memory41.1 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.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15104008/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:12:30.448825
Analysis finished2024-03-16 04:12:31.288568
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1368
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean684.5
Minimum1
Maximum1368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.2 KiB
2024-03-16T13:12:31.387048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile69.35
Q1342.75
median684.5
Q31026.25
95-th percentile1299.65
Maximum1368
Range1367
Interquartile range (IQR)683.5

Descriptive statistics

Standard deviation395.0519
Coefficient of variation (CV)0.57713936
Kurtosis-1.2
Mean684.5
Median Absolute Deviation (MAD)342
Skewness0
Sum936396
Variance156066
MonotonicityStrictly increasing
2024-03-16T13:12:31.607369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
911 1
 
0.1%
919 1
 
0.1%
918 1
 
0.1%
917 1
 
0.1%
916 1
 
0.1%
915 1
 
0.1%
914 1
 
0.1%
913 1
 
0.1%
912 1
 
0.1%
Other values (1358) 1358
99.3%
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 (%)
1368 1
0.1%
1367 1
0.1%
1366 1
0.1%
1365 1
0.1%
1364 1
0.1%
1363 1
0.1%
1362 1
0.1%
1361 1
0.1%
1360 1
0.1%
1359 1
0.1%

행정동
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
구월3동
157 
간석3동
126 
간석1동
117 
만수5동
114 
구월1동
96 
Other values (15)
758 

Length

Max length5
Median length4
Mean length4.1081871
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구월3동 157
11.5%
간석3동 126
 
9.2%
간석1동 117
 
8.6%
만수5동 114
 
8.3%
구월1동 96
 
7.0%
구월4동 88
 
6.4%
만수1동 80
 
5.8%
간석4동 72
 
5.3%
남촌도림동 70
 
5.1%
장수서창동 68
 
5.0%
Other values (10) 380
27.8%

Length

2024-03-16T13:12:31.892622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구월3동 157
11.5%
간석3동 126
 
9.2%
간석1동 117
 
8.6%
만수5동 114
 
8.3%
구월1동 96
 
7.0%
구월4동 88
 
6.4%
만수1동 80
 
5.8%
간석4동 72
 
5.3%
남촌도림동 70
 
5.1%
장수서창동 68
 
5.0%
Other values (10) 380
27.8%

관리번호
Text

Distinct1228
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-03-16T13:12:32.297633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.7317251
Min length4

Characters and Unicode

Total characters9209
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 (%)86.6%

Sample

1st row간석1동-1
2nd row간석1동-2
3rd row간석1동-3
4th row간석1동-4
5th row간석1동-5
ValueCountFrequency (%)
간석1동 89
 
6.5%
서창2동 12
 
0.9%
간석4동-35 2
 
0.1%
간석4동-34 2
 
0.1%
만수5동-69 2
 
0.1%
간석4동-24 2
 
0.1%
간석4동-32 2
 
0.1%
간석4동-39 2
 
0.1%
간석4동-38 2
 
0.1%
간석4동-37 2
 
0.1%
Other values (1218) 1251
91.4%
2024-03-16T13:12:33.088088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1368
14.9%
- 1267
13.8%
1 773
 
8.4%
3 662
 
7.2%
2 548
 
6.0%
수 442
 
4.8%
4 431
 
4.7%
구 400
 
4.3%
월 400
 
4.3%
만 374
 
4.1%
Other values (19) 2544
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4260
46.3%
Decimal Number 3682
40.0%
Dash Punctuation 1267
 
13.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1368
32.1%
수 442
 
10.4%
구 400
 
9.4%
월 400
 
9.4%
만 374
 
8.8%
석 353
 
8.3%
간 353
 
8.3%
논 91
 
2.1%
현 91
 
2.1%
창 80
 
1.9%
Other values (8) 308
 
7.2%
Decimal Number
ValueCountFrequency (%)
1 773
21.0%
3 662
18.0%
2 548
14.9%
4 431
11.7%
5 340
9.2%
6 267
 
7.3%
7 205
 
5.6%
8 163
 
4.4%
0 147
 
4.0%
9 146
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 1267
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4949
53.7%
Hangul 4260
46.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1368
32.1%
수 442
 
10.4%
구 400
 
9.4%
월 400
 
9.4%
만 374
 
8.8%
석 353
 
8.3%
간 353
 
8.3%
논 91
 
2.1%
현 91
 
2.1%
창 80
 
1.9%
Other values (8) 308
 
7.2%
Common
ValueCountFrequency (%)
- 1267
25.6%
1 773
15.6%
3 662
13.4%
2 548
11.1%
4 431
 
8.7%
5 340
 
6.9%
6 267
 
5.4%
7 205
 
4.1%
8 163
 
3.3%
0 147
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4949
53.7%
Hangul 4260
46.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1368
32.1%
수 442
 
10.4%
구 400
 
9.4%
월 400
 
9.4%
만 374
 
8.8%
석 353
 
8.3%
간 353
 
8.3%
논 91
 
2.1%
현 91
 
2.1%
창 80
 
1.9%
Other values (8) 308
 
7.2%
ASCII
ValueCountFrequency (%)
- 1267
25.6%
1 773
15.6%
3 662
13.4%
2 548
11.1%
4 431
 
8.7%
5 340
 
6.9%
6 267
 
5.4%
7 205
 
4.1%
8 163
 
3.3%
0 147
 
3.0%

설치장소
Text

Distinct1338
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-03-16T13:12:33.666038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length15.299708
Min length8

Characters and Unicode

Total characters20930
Distinct characters120
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

Unique1310 ?
Unique (%)95.8%

Sample

1st row남동구 경인로 524번길 17
2nd row남동구 문화로 245번길 12
3rd row남동구 경인로 552번길 40
4th row남동구 문화로 239
5th row남동구 문화로 245번길 2
ValueCountFrequency (%)
남동구 1368
27.8%
구월말로 72
 
1.5%
석산로 71
 
1.4%
인주대로 65
 
1.3%
용천로 61
 
1.2%
구월남로 58
 
1.2%
문화서로 50
 
1.0%
백범로 50
 
1.0%
경인로 45
 
0.9%
서판로 39
 
0.8%
Other values (970) 3034
61.8%
2024-03-16T13:12:34.846283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3553
17.0%
구 1577
 
7.5%
남 1529
 
7.3%
동 1524
 
7.3%
로 1302
 
6.2%
1 1189
 
5.7%
번 1052
 
5.0%
길 1049
 
5.0%
2 864
 
4.1%
3 635
 
3.0%
Other values (110) 6656
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10924
52.2%
Decimal Number 5969
28.5%
Space Separator 3553
 
17.0%
Dash Punctuation 480
 
2.3%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1577
14.4%
남 1529
14.0%
동 1524
14.0%
로 1302
11.9%
번 1052
9.6%
길 1049
9.6%
월 170
 
1.6%
석 157
 
1.4%
서 139
 
1.3%
인 134
 
1.2%
Other values (96) 2291
21.0%
Decimal Number
ValueCountFrequency (%)
1 1189
19.9%
2 864
14.5%
3 635
10.6%
5 574
9.6%
4 551
9.2%
6 509
8.5%
7 470
 
7.9%
0 397
 
6.7%
8 397
 
6.7%
9 383
 
6.4%
Space Separator
ValueCountFrequency (%)
3553
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 480
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10924
52.2%
Common 10006
47.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1577
14.4%
남 1529
14.0%
동 1524
14.0%
로 1302
11.9%
번 1052
9.6%
길 1049
9.6%
월 170
 
1.6%
석 157
 
1.4%
서 139
 
1.3%
인 134
 
1.2%
Other values (96) 2291
21.0%
Common
ValueCountFrequency (%)
3553
35.5%
1 1189
 
11.9%
2 864
 
8.6%
3 635
 
6.3%
5 574
 
5.7%
4 551
 
5.5%
6 509
 
5.1%
- 480
 
4.8%
7 470
 
4.7%
0 397
 
4.0%
Other values (4) 784
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10924
52.2%
ASCII 10006
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3553
35.5%
1 1189
 
11.9%
2 864
 
8.6%
3 635
 
6.3%
5 574
 
5.7%
4 551
 
5.5%
6 509
 
5.1%
- 480
 
4.8%
7 470
 
4.7%
0 397
 
4.0%
Other values (4) 784
 
7.8%
Hangul
ValueCountFrequency (%)
구 1577
14.4%
남 1529
14.0%
동 1524
14.0%
로 1302
11.9%
번 1052
9.6%
길 1049
9.6%
월 170
 
1.6%
석 157
 
1.4%
서 139
 
1.3%
인 134
 
1.2%
Other values (96) 2291
21.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-03-14
1368 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-14
2nd row2024-03-14
3rd row2024-03-14
4th row2024-03-14
5th row2024-03-14

Common Values

ValueCountFrequency (%)
2024-03-14 1368
100.0%

Length

2024-03-16T13:12:35.148826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:12:35.288337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-14 1368
100.0%

Interactions

2024-03-16T13:12:30.895364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:12:35.366478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.997
행정동0.9971.000
2024-03-16T13:12:35.489762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.893
행정동0.8931.000

Missing values

2024-03-16T13:12:31.081595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:12:31.236419image/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

연번행정동관리번호설치장소데이터기준일자
01간석1동간석1동-1남동구 경인로 524번길 172024-03-14
12간석1동간석1동-2남동구 문화로 245번길 122024-03-14
23간석1동간석1동-3남동구 경인로 552번길 402024-03-14
34간석1동간석1동-4남동구 문화로 2392024-03-14
45간석1동간석1동-5남동구 문화로 245번길 22024-03-14
56간석1동간석1동-6남동구 문화로 2512024-03-14
67간석1동간석1동-7남동구 경인로 552번길 22-12024-03-14
78간석1동간석1동-8남동구 경인로 552번길 22-122024-03-14
89간석1동간석1동-9남동구 경인로 540-102024-03-14
910간석1동간석1동-10남동구 문화로 245번길 30-12024-03-14
연번행정동관리번호설치장소데이터기준일자
13581359남촌도림동남촌동-24남동구 남촌로 88-82024-03-14
13591360남촌도림동남촌동-25남동구 남촌로 84번길 312024-03-14
13601361남촌도림동남촌동-26남동구 남촌로 12024-03-14
13611362남촌도림동남촌동-27남동구 남촌로 75번길 3-12024-03-14
13621363남촌도림동남촌동-28남동구 남촌로 69번길 6-192024-03-14
13631364남촌도림동남촌동-29남동구 남촌로 93번길 622024-03-14
13641365남촌도림동남촌동-30남동구 남촌로 93번길 362024-03-14
13651366남촌도림동남촌동-31남동구 남촌로 91 5동 앞2024-03-14
13661367남촌도림동남촌동-32남동구 남촌로 91 1동 앞2024-03-14
13671368남촌도림동남촌동-33남동구 남촌로 87-72024-03-14