Overview

Dataset statistics

Number of variables5
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory45.6 B

Variable types

Numeric2
Text2
Categorical1

Dataset

Description인천광역시 계양구 쉼터현황에 대한 데이터파일로서 연번, 쉼터명, 위치, 면적, 데이터기준일을 포함하고 있습니다.
Author인천광역시 계양구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15117150&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
연번 has unique valuesUnique
쉼터명 has unique valuesUnique
위치 has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:16:10.048068
Analysis finished2024-01-28 16:16:10.632416
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-01-29T01:16:10.681504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q110
median19
Q328
95-th percentile35.2
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.824355
Coefficient of variation (CV)0.56970291
Kurtosis-1.2
Mean19
Median Absolute Deviation (MAD)9
Skewness0
Sum703
Variance117.16667
MonotonicityStrictly increasing
2024-01-29T01:16:10.788541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 1
 
2.7%
29 1
 
2.7%
22 1
 
2.7%
23 1
 
2.7%
24 1
 
2.7%
25 1
 
2.7%
26 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
30 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
1 1
2.7%
2 1
2.7%
3 1
2.7%
4 1
2.7%
5 1
2.7%
6 1
2.7%
7 1
2.7%
8 1
2.7%
9 1
2.7%
10 1
2.7%
ValueCountFrequency (%)
37 1
2.7%
36 1
2.7%
35 1
2.7%
34 1
2.7%
33 1
2.7%
32 1
2.7%
31 1
2.7%
30 1
2.7%
29 1
2.7%
28 1
2.7%

쉼터명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-01-29T01:16:10.994119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length7.4324324
Min length4

Characters and Unicode

Total characters275
Distinct characters93
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row예비군훈련장옆약수터
2nd row작전2동마을쉼터
3rd row효성2동마을쉼터
4th row효성1동마을쉼터
5th row계산1동마을쉼터(보호수지역)
ValueCountFrequency (%)
예비군훈련장옆약수터 1
 
2.7%
효성1동쉼터 1
 
2.7%
동양동쉼터 1
 
2.7%
목상동쉼터 1
 
2.7%
누리길쉼터1 1
 
2.7%
누리길쉼터2 1
 
2.7%
누리길쉼터3 1
 
2.7%
동양동운동기구 1
 
2.7%
박촌동쉼터 1
 
2.7%
평동쉼터 1
 
2.7%
Other values (27) 27
73.0%
2024-01-29T01:16:11.287133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 38
 
13.8%
쉼 34
 
12.4%
동 24
 
8.7%
1 10
 
3.6%
효 8
 
2.9%
성 8
 
2.9%
2 5
 
1.8%
마 5
 
1.8%
을 5
 
1.8%
야 4
 
1.5%
Other values (83) 134
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 244
88.7%
Decimal Number 24
 
8.7%
Dash Punctuation 3
 
1.1%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 38
 
15.6%
쉼 34
 
13.9%
동 24
 
9.8%
효 8
 
3.3%
성 8
 
3.3%
마 5
 
2.0%
을 5
 
2.0%
야 4
 
1.6%
리 4
 
1.6%
옆 4
 
1.6%
Other values (74) 110
45.1%
Decimal Number
ValueCountFrequency (%)
1 10
41.7%
2 5
20.8%
6 4
 
16.7%
5 2
 
8.3%
7 2
 
8.3%
3 1
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 244
88.7%
Common 31
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 38
 
15.6%
쉼 34
 
13.9%
동 24
 
9.8%
효 8
 
3.3%
성 8
 
3.3%
마 5
 
2.0%
을 5
 
2.0%
야 4
 
1.6%
리 4
 
1.6%
옆 4
 
1.6%
Other values (74) 110
45.1%
Common
ValueCountFrequency (%)
1 10
32.3%
2 5
16.1%
6 4
 
12.9%
- 3
 
9.7%
5 2
 
6.5%
) 2
 
6.5%
( 2
 
6.5%
7 2
 
6.5%
3 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 244
88.7%
ASCII 31
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 38
 
15.6%
쉼 34
 
13.9%
동 24
 
9.8%
효 8
 
3.3%
성 8
 
3.3%
마 5
 
2.0%
을 5
 
2.0%
야 4
 
1.6%
리 4
 
1.6%
옆 4
 
1.6%
Other values (74) 110
45.1%
ASCII
ValueCountFrequency (%)
1 10
32.3%
2 5
16.1%
6 4
 
12.9%
- 3
 
9.7%
5 2
 
6.5%
) 2
 
6.5%
( 2
 
6.5%
7 2
 
6.5%
3 1
 
3.2%

위치
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-01-29T01:16:11.478387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length20.405405
Min length17

Characters and Unicode

Total characters755
Distinct characters60
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row인천광역시 계양구 계산동 산63번지외2필지
2nd row인천광역시 계양구 작전동 853-21외1개소
3rd row인천광역시 계양구 효성동 513-4번지
4th row인천광역시 계양구 효성동 665-38번지
5th row인천광역시 계양구 계산동 974-24번지
ValueCountFrequency (%)
인천광역시 37
25.0%
계양구 37
25.0%
효성동 8
 
5.4%
작전동 4
 
2.7%
계산1동 4
 
2.7%
계산동 4
 
2.7%
다남동 3
 
2.0%
동양동 2
 
1.4%
굴포천 2
 
1.4%
효성1동 2
 
1.4%
Other values (45) 45
30.4%
2024-01-29T01:16:11.746809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
14.7%
계 46
 
6.1%
양 39
 
5.2%
천 39
 
5.2%
동 39
 
5.2%
인 37
 
4.9%
광 37
 
4.9%
역 37
 
4.9%
시 37
 
4.9%
구 37
 
4.9%
Other values (50) 296
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 471
62.4%
Decimal Number 145
 
19.2%
Space Separator 111
 
14.7%
Dash Punctuation 23
 
3.0%
Other Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 46
9.8%
양 39
 
8.3%
천 39
 
8.3%
동 39
 
8.3%
인 37
 
7.9%
광 37
 
7.9%
역 37
 
7.9%
시 37
 
7.9%
구 37
 
7.9%
산 15
 
3.2%
Other values (37) 108
22.9%
Decimal Number
ValueCountFrequency (%)
1 32
22.1%
3 16
11.0%
2 16
11.0%
5 16
11.0%
6 16
11.0%
9 15
10.3%
4 15
10.3%
7 8
 
5.5%
8 8
 
5.5%
0 3
 
2.1%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 471
62.4%
Common 284
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 46
9.8%
양 39
 
8.3%
천 39
 
8.3%
동 39
 
8.3%
인 37
 
7.9%
광 37
 
7.9%
역 37
 
7.9%
시 37
 
7.9%
구 37
 
7.9%
산 15
 
3.2%
Other values (37) 108
22.9%
Common
ValueCountFrequency (%)
111
39.1%
1 32
 
11.3%
- 23
 
8.1%
3 16
 
5.6%
2 16
 
5.6%
5 16
 
5.6%
6 16
 
5.6%
9 15
 
5.3%
4 15
 
5.3%
7 8
 
2.8%
Other values (3) 16
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 471
62.4%
ASCII 284
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
39.1%
1 32
 
11.3%
- 23
 
8.1%
3 16
 
5.6%
2 16
 
5.6%
5 16
 
5.6%
6 16
 
5.6%
9 15
 
5.3%
4 15
 
5.3%
7 8
 
2.8%
Other values (3) 16
 
5.6%
Hangul
ValueCountFrequency (%)
계 46
9.8%
양 39
 
8.3%
천 39
 
8.3%
동 39
 
8.3%
인 37
 
7.9%
광 37
 
7.9%
역 37
 
7.9%
시 37
 
7.9%
구 37
 
7.9%
산 15
 
3.2%
Other values (37) 108
22.9%

면적_m2
Real number (ℝ)

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean574.45946
Minimum38
Maximum3750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-01-29T01:16:11.855376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile78.8
Q1230
median366
Q3684
95-th percentile1724.8
Maximum3750
Range3712
Interquartile range (IQR)454

Descriptive statistics

Standard deviation719.0538
Coefficient of variation (CV)1.251705
Kurtosis11.544399
Mean574.45946
Median Absolute Deviation (MAD)164
Skewness3.1901079
Sum21255
Variance517038.37
MonotonicityNot monotonic
2024-01-29T01:16:12.217188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
519 2
 
5.4%
684 1
 
2.7%
1500 1
 
2.7%
490 1
 
2.7%
230 1
 
2.7%
50 1
 
2.7%
86 1
 
2.7%
134 1
 
2.7%
437 1
 
2.7%
418 1
 
2.7%
Other values (26) 26
70.3%
ValueCountFrequency (%)
38 1
2.7%
50 1
2.7%
86 1
2.7%
90 1
2.7%
126 1
2.7%
134 1
2.7%
150 1
2.7%
170 1
2.7%
204 1
2.7%
230 1
2.7%
ValueCountFrequency (%)
3750 1
2.7%
2624 1
2.7%
1500 1
2.7%
991 1
2.7%
876 1
2.7%
860 1
2.7%
853 1
2.7%
850 1
2.7%
700 1
2.7%
684 1
2.7%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-07-25
37 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-25
2nd row2023-07-25
3rd row2023-07-25
4th row2023-07-25
5th row2023-07-25

Common Values

ValueCountFrequency (%)
2023-07-25 37
100.0%

Length

2024-01-29T01:16:12.319066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:16:12.399020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-25 37
100.0%

Interactions

2024-01-29T01:16:10.379726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:16:10.212586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:16:10.449978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:16:10.300227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T01:16:12.450304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번쉼터명위치면적_m2
연번1.0001.0001.0000.000
쉼터명1.0001.0001.0001.000
위치1.0001.0001.0001.000
면적_m20.0001.0001.0001.000
2024-01-29T01:16:12.532753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적_m2
연번1.000-0.354
면적_m2-0.3541.000

Missing values

2024-01-29T01:16:10.534942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:16:10.604463image/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

연번쉼터명위치면적_m2데이터기준일
01예비군훈련장옆약수터인천광역시 계양구 계산동 산63번지외2필지6842023-07-25
12작전2동마을쉼터인천광역시 계양구 작전동 853-21외1개소2042023-07-25
23효성2동마을쉼터인천광역시 계양구 효성동 513-4번지4022023-07-25
34효성1동마을쉼터인천광역시 계양구 효성동 665-38번지8532023-07-25
45계산1동마을쉼터(보호수지역)인천광역시 계양구 계산동 974-24번지2452023-07-25
56하야동놀이터쉼터인천광역시 계양구 하야동 64-13,14번지2572023-07-25
67상야동마을쉼터인천광역시 계양구 상야동 경로당앞4962023-07-25
78작전쉼터인천광역시 계양구 작전동 928번지8602023-07-25
89계산1동삼환빌라옆쉼터인천광역시 계양구 계산1동 945-5,93242023-07-25
910계산1동주민센터옆쉼터인천광역시 계양구 계산1동 944-512502023-07-25
연번쉼터명위치면적_m2데이터기준일
2728박촌동쉼터인천광역시 계양구 박촌동 154외2필지4372023-07-25
2829평동쉼터인천광역시 계양구 평동 39-4일원4182023-07-25
2930효성동152-6쉼터인천광역시 계양구 효성동 152-6382023-07-25
3031작전2동쉼터인천광역시 계양구 작전동 858-2902023-07-25
3132굴포천상야동쉼터인천광역시 계양구 굴포천 상야동산책로내1502023-07-25
3233굴포천하야동쉼터인천광역시 계양구 굴포천 하야동산책로내1262023-07-25
3334다남동삼거리쉼터인천광역시 계양구 다남동 산71번지일원5192023-07-25
3435별빛(가칭)쉼터인천광역시 계양구 효성동 186-3번지2582023-07-25
3536왁자지껄쉼터인천광역시 계양구 효성동 559일원1702023-07-25
3637효성가족놀이터인천광역시 계양구 효성동 244-33662023-07-25