Overview

Dataset statistics

Number of variables6
Number of observations73
Missing cells2
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory53.8 B

Variable types

Numeric4
Text2

Dataset

Description인천광역시 미추홀구 마을 쉼터 현황에 대한 데이터로 연번, 지번주소, 기관명, 면적, 죄표값 등의 항목을 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15086810/fileData.do

Alerts

연번 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 연번High correlation
기관명 has 2 (2.7%) missing valuesMissing
연번 has unique valuesUnique
지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:50:45.216784
Analysis finished2023-12-12 03:50:48.278164
Duration3.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-12T12:50:48.380808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.6
Q119
median37
Q355
95-th percentile69.4
Maximum73
Range72
Interquartile range (IQR)36

Descriptive statistics

Standard deviation21.217131
Coefficient of variation (CV)0.57343598
Kurtosis-1.2
Mean37
Median Absolute Deviation (MAD)18
Skewness0
Sum2701
Variance450.16667
MonotonicityStrictly increasing
2023-12-12T12:50:48.598570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
56 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%

지번주소
Text

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-12T12:50:49.031074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length22.849315
Min length19

Characters and Unicode

Total characters1668
Distinct characters50
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 숭의1동 162-79
2nd row인천광역시 미추홀구 숭의1동 431-72
3rd row인천광역시 미추홀구 숭의3동 109-308
4th row인천광역시 미추홀구 숭의3동 139-14
5th row인천광역시 미추홀구 숭의3동 84-6
ValueCountFrequency (%)
미추홀구 73
24.1%
인천광역시 72
23.8%
숭의4동 9
 
3.0%
도화1동 8
 
2.6%
학익2동 7
 
2.3%
용현3동 6
 
2.0%
일원 6
 
2.0%
용현1·4동 6
 
2.0%
주안7동 6
 
2.0%
도화2동 4
 
1.3%
Other values (91) 106
35.0%
2023-12-12T12:50:49.506104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
230
 
13.8%
1 88
 
5.3%
인 73
 
4.4%
추 73
 
4.4%
구 73
 
4.4%
홀 73
 
4.4%
동 73
 
4.4%
미 73
 
4.4%
광 73
 
4.4%
시 73
 
4.4%
Other values (40) 766
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 921
55.2%
Decimal Number 433
26.0%
Space Separator 230
 
13.8%
Dash Punctuation 69
 
4.1%
Other Punctuation 13
 
0.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 73
 
7.9%
추 73
 
7.9%
구 73
 
7.9%
홀 73
 
7.9%
동 73
 
7.9%
미 73
 
7.9%
광 73
 
7.9%
시 73
 
7.9%
천 73
 
7.9%
역 73
 
7.9%
Other values (24) 191
20.7%
Decimal Number
ValueCountFrequency (%)
1 88
20.3%
2 66
15.2%
4 55
12.7%
3 53
12.2%
6 40
9.2%
9 32
 
7.4%
5 30
 
6.9%
8 27
 
6.2%
7 23
 
5.3%
0 19
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 7
53.8%
· 6
46.2%
Space Separator
ValueCountFrequency (%)
230
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 921
55.2%
Common 747
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 73
 
7.9%
추 73
 
7.9%
구 73
 
7.9%
홀 73
 
7.9%
동 73
 
7.9%
미 73
 
7.9%
광 73
 
7.9%
시 73
 
7.9%
천 73
 
7.9%
역 73
 
7.9%
Other values (24) 191
20.7%
Common
ValueCountFrequency (%)
230
30.8%
1 88
 
11.8%
- 69
 
9.2%
2 66
 
8.8%
4 55
 
7.4%
3 53
 
7.1%
6 40
 
5.4%
9 32
 
4.3%
5 30
 
4.0%
8 27
 
3.6%
Other values (6) 57
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 921
55.2%
ASCII 741
44.4%
None 6
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
230
31.0%
1 88
 
11.9%
- 69
 
9.3%
2 66
 
8.9%
4 55
 
7.4%
3 53
 
7.2%
6 40
 
5.4%
9 32
 
4.3%
5 30
 
4.0%
8 27
 
3.6%
Other values (5) 51
 
6.9%
Hangul
ValueCountFrequency (%)
인 73
 
7.9%
추 73
 
7.9%
구 73
 
7.9%
홀 73
 
7.9%
동 73
 
7.9%
미 73
 
7.9%
광 73
 
7.9%
시 73
 
7.9%
천 73
 
7.9%
역 73
 
7.9%
Other values (24) 191
20.7%
None
ValueCountFrequency (%)
· 6
100.0%

기관명
Text

MISSING 

Distinct71
Distinct (%)100.0%
Missing2
Missing (%)2.7%
Memory size716.0 B
2023-12-12T12:50:49.830440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.3380282
Min length3

Characters and Unicode

Total characters379
Distinct characters122
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

Unique71 ?
Unique (%)100.0%

Sample

1st row효자쉼터
2nd row장수쉼터
3rd row쇠뿔고개쉼터
4th row샘쉼터
5th row새미래쉼터
ValueCountFrequency (%)
주안7동 2
 
2.7%
효자쉼터 1
 
1.3%
옛시민회관쉼터 1
 
1.3%
학골쉼터 1
 
1.3%
화목쉼터 1
 
1.3%
주안중앙2로길쉼터 1
 
1.3%
도화쉼터 1
 
1.3%
신창쉼터 1
 
1.3%
못안쉼터 1
 
1.3%
철로변쉼터 1
 
1.3%
Other values (64) 64
85.3%
2023-12-12T12:50:50.316289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
쉼 70
18.5%
터 70
18.5%
12
 
3.2%
골 10
 
2.6%
마 9
 
2.4%
길 9
 
2.4%
안 8
 
2.1%
을 7
 
1.8%
주 6
 
1.6%
인 6
 
1.6%
Other values (112) 172
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
96.0%
Space Separator 12
 
3.2%
Decimal Number 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
쉼 70
19.2%
터 70
19.2%
골 10
 
2.7%
마 9
 
2.5%
길 9
 
2.5%
안 8
 
2.2%
을 7
 
1.9%
주 6
 
1.6%
인 6
 
1.6%
정 6
 
1.6%
Other values (109) 163
44.8%
Decimal Number
ValueCountFrequency (%)
7 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
96.0%
Common 15
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
쉼 70
19.2%
터 70
19.2%
골 10
 
2.7%
마 9
 
2.5%
길 9
 
2.5%
안 8
 
2.2%
을 7
 
1.9%
주 6
 
1.6%
인 6
 
1.6%
정 6
 
1.6%
Other values (109) 163
44.8%
Common
ValueCountFrequency (%)
12
80.0%
7 2
 
13.3%
2 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
96.0%
ASCII 15
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
쉼 70
19.2%
터 70
19.2%
골 10
 
2.7%
마 9
 
2.5%
길 9
 
2.5%
안 8
 
2.2%
을 7
 
1.9%
주 6
 
1.6%
인 6
 
1.6%
정 6
 
1.6%
Other values (109) 163
44.8%
ASCII
ValueCountFrequency (%)
12
80.0%
7 2
 
13.3%
2 1
 
6.7%

면적
Real number (ℝ)

Distinct67
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean620.24247
Minimum28
Maximum16293.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-12T12:50:50.472065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile55
Q198
median197
Q3340
95-th percentile1500.14
Maximum16293.4
Range16265.4
Interquartile range (IQR)242

Descriptive statistics

Standard deviation2005.6519
Coefficient of variation (CV)3.2336579
Kurtosis53.577949
Mean620.24247
Median Absolute Deviation (MAD)111
Skewness7.008207
Sum45277.7
Variance4022639.7
MonotonicityNot monotonic
2023-12-12T12:50:50.643809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.0 2
 
2.7%
55.0 2
 
2.7%
155.0 2
 
2.7%
80.0 2
 
2.7%
300.0 2
 
2.7%
350.0 2
 
2.7%
90.0 1
 
1.4%
165.0 1
 
1.4%
250.0 1
 
1.4%
579.0 1
 
1.4%
Other values (57) 57
78.1%
ValueCountFrequency (%)
28.0 1
1.4%
46.0 1
1.4%
50.0 1
1.4%
55.0 2
2.7%
61.0 1
1.4%
63.0 1
1.4%
67.0 1
1.4%
73.0 1
1.4%
74.0 1
1.4%
75.0 1
1.4%
ValueCountFrequency (%)
16293.4 1
1.4%
4500.0 1
1.4%
4430.7 1
1.4%
1613.0 1
1.4%
1424.9 1
1.4%
1026.0 1
1.4%
992.0 1
1.4%
903.0 1
1.4%
888.0 1
1.4%
750.0 1
1.4%

위도
Real number (ℝ)

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.456775
Minimum37.439068
Maximum37.478736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-12T12:50:50.844998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.439068
5-th percentile37.444609
Q137.447009
median37.458026
Q337.463768
95-th percentile37.468719
Maximum37.478736
Range0.0396683
Interquartile range (IQR)0.0167587

Descriptive statistics

Standard deviation0.0087630883
Coefficient of variation (CV)0.00023395203
Kurtosis-0.86727738
Mean37.456775
Median Absolute Deviation (MAD)0.0069102
Skewness-0.086416868
Sum2734.3446
Variance7.6791717 × 10-5
MonotonicityNot monotonic
2023-12-12T12:50:51.054459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.463566 1
 
1.4%
37.4651018 1
 
1.4%
37.4620017 1
 
1.4%
37.4682238 1
 
1.4%
37.478736 1
 
1.4%
37.4666991 1
 
1.4%
37.4670556 1
 
1.4%
37.4683106 1
 
1.4%
37.4662678 1
 
1.4%
37.4619335 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
37.4390677 1
1.4%
37.442732 1
1.4%
37.4434994 1
1.4%
37.444073 1
1.4%
37.4449669 1
1.4%
37.4449999 1
1.4%
37.4450934 1
1.4%
37.4452723 1
1.4%
37.4453524 1
1.4%
37.4453898 1
1.4%
ValueCountFrequency (%)
37.478736 1
1.4%
37.4698129 1
1.4%
37.469583 1
1.4%
37.4691672 1
1.4%
37.4684209 1
1.4%
37.4683106 1
1.4%
37.4682238 1
1.4%
37.4676842 1
1.4%
37.4670556 1
1.4%
37.4666991 1
1.4%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66411
Minimum126.64328
Maximum126.69383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-12T12:50:51.267154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.64328
5-th percentile126.64601
Q1126.65536
median126.66385
Q3126.67135
95-th percentile126.68483
Maximum126.69383
Range0.05055
Interquartile range (IQR)0.015987

Descriptive statistics

Standard deviation0.011787046
Coefficient of variation (CV)9.3057509 × 10-5
Kurtosis-0.2129203
Mean126.66411
Median Absolute Deviation (MAD)0.008495
Skewness0.43921437
Sum9246.4798
Variance0.00013893446
MonotonicityNot monotonic
2023-12-12T12:50:51.512335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.644433 1
 
1.4%
126.677082 1
 
1.4%
126.683481 1
 
1.4%
126.659524 1
 
1.4%
126.655565 1
 
1.4%
126.665093 1
 
1.4%
126.660604 1
 
1.4%
126.671043 1
 
1.4%
126.665524 1
 
1.4%
126.668539 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
126.643279 1
1.4%
126.64403 1
1.4%
126.644433 1
1.4%
126.645387 1
1.4%
126.646419 1
1.4%
126.646712 1
1.4%
126.647612 1
1.4%
126.651106 1
1.4%
126.652362 1
1.4%
126.652364 1
1.4%
ValueCountFrequency (%)
126.693829 1
1.4%
126.693184 1
1.4%
126.687164 1
1.4%
126.686849 1
1.4%
126.683481 1
1.4%
126.680998 1
1.4%
126.68063 1
1.4%
126.679831 1
1.4%
126.679515 1
1.4%
126.678333 1
1.4%

Interactions

2023-12-12T12:50:47.424617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:45.581866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:46.134707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:46.800492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:47.563815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:45.711780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:46.311263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:46.961439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:47.725125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:45.876129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:46.477791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:47.129101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:47.876334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:46.027387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:46.655783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:47.288716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:50:51.681449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지번주소기관명면적위도경도
연번1.0001.0001.0000.1020.6680.860
지번주소1.0001.0001.0001.0001.0001.000
기관명1.0001.0001.0001.0001.0001.000
면적0.1021.0001.0001.0000.0000.091
위도0.6681.0001.0000.0001.0000.576
경도0.8601.0001.0000.0910.5761.000
2023-12-12T12:50:52.195862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적위도경도
연번1.0000.258-0.2870.864
면적0.2581.000-0.0850.093
위도-0.287-0.0851.000-0.321
경도0.8640.093-0.3211.000

Missing values

2023-12-12T12:50:48.062953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:50:48.224905image/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

연번지번주소기관명면적위도경도
01인천광역시 미추홀구 숭의1동 162-79효자쉼터118.337.463566126.644433
12인천광역시 미추홀구 숭의1동 431-72장수쉼터149.837.463797126.643279
23인천광역시 미추홀구 숭의3동 109-308쇠뿔고개쉼터73.037.469813126.645387
34인천광역시 미추홀구 숭의3동 139-14샘쉼터153.137.469167126.646419
45인천광역시 미추홀구 숭의3동 84-6새미래쉼터164.237.467684126.647612
56인천광역시 미추홀구 숭의2동 285-64주인육각쉼터55.037.459959126.652362
67인천광역시 미추홀구 숭의2동 168-10장안마을쉼터237.037.462176126.646712
78인천광역시 미추홀구 숭의4동 19-88으뜸골쉼터80.037.459719126.656771
89인천광역시 미추홀구 숭의4동 248-92주인공원쉼터251.037.460871126.653262
910인천광역시 미추홀구 숭의4동 4-30샛길쉼터74.037.463024126.659073
연번지번주소기관명면적위도경도
6364인천광역시 미추홀구 주안7동 1243, 1367-115선홍쉼터287.037.445272126.680998
6465인천광역시 미추홀구 주안7동 1286-12승학미니쉼터46.037.444073126.68063
6566인천광역시 미추홀구 주안7동 1342-163일원주안7동 녹색마을쉼터992.037.44539126.677822
6667인천광역시 미추홀구 주안7동 1344-67신기마을쉼터137.037.445126.676897
6768인천광역시 미추홀구 주안7동 1457-5신기사거리쉼터303.337.451116126.679515
6869인천광역시 미추홀구 주안7동 855-22 일원주안7동 행복마을쉼터1026.037.446381126.674473
6970인천광역시 미추홀구 주안8동 1520-29승학쉼터131.037.449073126.687164
7071인천광역시 미추홀구 주안8동 1626노루목쉼터406.937.445892126.686849
7172인천광역시 미추홀구 관교동 321-27도란쉼터94.037.447017126.693184
7273인천광역시 미추홀구 관교동 319-2인정쉼터50.037.447009126.693829