Overview

Dataset statistics

Number of variables6
Number of observations103
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory52.3 B

Variable types

Text2
Categorical1
Numeric3

Dataset

Description연수구 관내 많은 사람들이 이용하는 시설 위치, 시설군 형태, 면적(㎡) 등 다중이용시설 현황 안내 (어린이집, 요양원, PC방 등)
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15066945&srcSe=7661IVAWM27C61E190

Reproduction

Analysis started2024-01-28 10:57:55.577522
Analysis finished2024-01-28 10:57:56.685462
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct99
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024-01-28T19:57:56.832514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length7.407767
Min length3

Characters and Unicode

Total characters763
Distinct characters215
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)92.2%

Sample

1st row롯데마트 연수점
2nd row이마트 연수점
3rd row홈플러스 인천연수점
4th row스퀘어원
5th row엘에프네트웍스연수점
ValueCountFrequency (%)
연수점 4
 
3.1%
pc 3
 
2.3%
롯데마트 2
 
1.5%
인천연수점 2
 
1.5%
bob 2
 
1.5%
cafe 2
 
1.5%
이마트 2
 
1.5%
키즈카페 2
 
1.5%
홈플러스 2
 
1.5%
나사렛국제병원 2
 
1.5%
Other values (104) 108
82.4%
2024-01-28T19:57:57.154124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 31
 
4.1%
29
 
3.8%
린 25
 
3.3%
어 23
 
3.0%
집 22
 
2.9%
원 22
 
2.9%
수 18
 
2.4%
인 18
 
2.4%
연 17
 
2.2%
천 14
 
1.8%
Other values (205) 544
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 676
88.6%
Uppercase Letter 45
 
5.9%
Space Separator 29
 
3.8%
Decimal Number 7
 
0.9%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 31
 
4.6%
린 25
 
3.7%
어 23
 
3.4%
집 22
 
3.3%
원 22
 
3.3%
수 18
 
2.7%
인 18
 
2.7%
연 17
 
2.5%
천 14
 
2.1%
스 14
 
2.1%
Other values (183) 472
69.8%
Uppercase Letter
ValueCountFrequency (%)
C 13
28.9%
P 9
20.0%
A 4
 
8.9%
B 4
 
8.9%
V 2
 
4.4%
G 2
 
4.4%
E 2
 
4.4%
F 2
 
4.4%
O 2
 
4.4%
M 1
 
2.2%
Other values (4) 4
 
8.9%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
3 1
 
14.3%
1 1
 
14.3%
5 1
 
14.3%
4 1
 
14.3%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 676
88.6%
Latin 45
 
5.9%
Common 42
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 31
 
4.6%
린 25
 
3.7%
어 23
 
3.4%
집 22
 
3.3%
원 22
 
3.3%
수 18
 
2.7%
인 18
 
2.7%
연 17
 
2.5%
천 14
 
2.1%
스 14
 
2.1%
Other values (183) 472
69.8%
Latin
ValueCountFrequency (%)
C 13
28.9%
P 9
20.0%
A 4
 
8.9%
B 4
 
8.9%
V 2
 
4.4%
G 2
 
4.4%
E 2
 
4.4%
F 2
 
4.4%
O 2
 
4.4%
M 1
 
2.2%
Other values (4) 4
 
8.9%
Common
ValueCountFrequency (%)
29
69.0%
( 3
 
7.1%
) 3
 
7.1%
2 3
 
7.1%
3 1
 
2.4%
1 1
 
2.4%
5 1
 
2.4%
4 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 676
88.6%
ASCII 87
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 31
 
4.6%
린 25
 
3.7%
어 23
 
3.4%
집 22
 
3.3%
원 22
 
3.3%
수 18
 
2.7%
인 18
 
2.7%
연 17
 
2.5%
천 14
 
2.1%
스 14
 
2.1%
Other values (183) 472
69.8%
ASCII
ValueCountFrequency (%)
29
33.3%
C 13
14.9%
P 9
 
10.3%
A 4
 
4.6%
B 4
 
4.6%
( 3
 
3.4%
) 3
 
3.4%
2 3
 
3.4%
V 2
 
2.3%
G 2
 
2.3%
Other values (12) 15
17.2%

시설군 형태
Categorical

Distinct13
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size956.0 B
실내주차장
28 
어린이집
22 
인터넷컴퓨터게임시설제공업
10 
노인요양시설
9 
의료기관
8 
Other values (8)
26 

Length

Max length13
Median length7
Mean length5.4951456
Min length3

Unique

Unique3 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
실내주차장 28
27.2%
어린이집 22
21.4%
인터넷컴퓨터게임시설제공업 10
 
9.7%
노인요양시설 9
 
8.7%
의료기관 8
 
7.8%
목욕장업 6
 
5.8%
지하역사 6
 
5.8%
대규모점포 5
 
4.9%
놀이제공영업소 4
 
3.9%
영화상영관 2
 
1.9%
Other values (3) 3
 
2.9%

Length

2024-01-28T19:57:57.257882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 28
27.2%
어린이집 22
21.4%
인터넷컴퓨터게임시설제공업 10
 
9.7%
노인요양시설 9
 
8.7%
의료기관 8
 
7.8%
목욕장업 6
 
5.8%
지하역사 6
 
5.8%
대규모점포 5
 
4.9%
놀이제공영업소 4
 
3.9%
영화상영관 2
 
1.9%
Other values (3) 3
 
2.9%

시설면적
Real number (ℝ)

Distinct102
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7101.5611
Minimum315.13
Maximum169052.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-28T19:57:57.345783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum315.13
5-th percentile344.352
Q1773.26
median2356.07
Q35079.52
95-th percentile18306.159
Maximum169052.13
Range168737
Interquartile range (IQR)4306.26

Descriptive statistics

Standard deviation20331.967
Coefficient of variation (CV)2.8630278
Kurtosis45.355763
Mean7101.5611
Median Absolute Deviation (MAD)1798.89
Skewness6.38662
Sum731460.79
Variance4.1338888 × 108
MonotonicityNot monotonic
2024-01-28T19:57:57.451840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2209.29 2
 
1.9%
14249.33 1
 
1.0%
343.48 1
 
1.0%
2555.97 1
 
1.0%
5830.93 1
 
1.0%
5343.98 1
 
1.0%
326.16 1
 
1.0%
325.68 1
 
1.0%
315.13 1
 
1.0%
321.03 1
 
1.0%
Other values (92) 92
89.3%
ValueCountFrequency (%)
315.13 1
1.0%
321.03 1
1.0%
324.54 1
1.0%
325.68 1
1.0%
326.16 1
1.0%
343.48 1
1.0%
352.2 1
1.0%
382.8 1
1.0%
388.33 1
1.0%
432.1 1
1.0%
ValueCountFrequency (%)
169052.13 1
1.0%
108250.18 1
1.0%
48452.0 1
1.0%
30378.17 1
1.0%
30039.7 1
1.0%
18368.0 1
1.0%
17749.59 1
1.0%
17180.0 1
1.0%
14346.03 1
1.0%
14249.33 1
1.0%

주소
Text

Distinct102
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024-01-28T19:57:57.679902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length39
Mean length23.15534
Min length8

Characters and Unicode

Total characters2385
Distinct characters139
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)98.1%

Sample

1st row연수구 청능대로 87
2nd row연수구 경원대로
3rd row연수구 청능대로 210
4th row연수구 청능대로 210
5th row연수구 청능대로23번길 11
ValueCountFrequency (%)
연수구 62
 
13.2%
인천광역시 54
 
11.5%
연수동 23
 
4.9%
동춘동 19
 
4.1%
청능대로 14
 
3.0%
옥련동 13
 
2.8%
청학동 12
 
2.6%
원인재로 9
 
1.9%
먼우금로 8
 
1.7%
경원대로 7
 
1.5%
Other values (188) 248
52.9%
2024-01-28T19:57:58.011747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
367
 
15.4%
동 126
 
5.3%
로 104
 
4.4%
1 97
 
4.1%
연 92
 
3.9%
수 92
 
3.9%
) 92
 
3.9%
( 92
 
3.9%
인 70
 
2.9%
구 63
 
2.6%
Other values (129) 1190
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1386
58.1%
Decimal Number 396
 
16.6%
Space Separator 367
 
15.4%
Close Punctuation 92
 
3.9%
Open Punctuation 92
 
3.9%
Other Punctuation 35
 
1.5%
Dash Punctuation 9
 
0.4%
Uppercase Letter 6
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 126
 
9.1%
로 104
 
7.5%
연 92
 
6.6%
수 92
 
6.6%
인 70
 
5.1%
구 63
 
4.5%
천 60
 
4.3%
시 58
 
4.2%
광 54
 
3.9%
역 54
 
3.9%
Other values (110) 613
44.2%
Decimal Number
ValueCountFrequency (%)
1 97
24.5%
2 56
14.1%
0 41
10.4%
4 39
9.8%
3 33
 
8.3%
8 31
 
7.8%
5 27
 
6.8%
6 27
 
6.8%
9 25
 
6.3%
7 20
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
66.7%
F 1
 
16.7%
L 1
 
16.7%
Space Separator
ValueCountFrequency (%)
367
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1386
58.1%
Common 993
41.6%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 126
 
9.1%
로 104
 
7.5%
연 92
 
6.6%
수 92
 
6.6%
인 70
 
5.1%
구 63
 
4.5%
천 60
 
4.3%
시 58
 
4.2%
광 54
 
3.9%
역 54
 
3.9%
Other values (110) 613
44.2%
Common
ValueCountFrequency (%)
367
37.0%
1 97
 
9.8%
) 92
 
9.3%
( 92
 
9.3%
2 56
 
5.6%
0 41
 
4.1%
4 39
 
3.9%
, 35
 
3.5%
3 33
 
3.3%
8 31
 
3.1%
Other values (6) 110
 
11.1%
Latin
ValueCountFrequency (%)
B 4
66.7%
F 1
 
16.7%
L 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1386
58.1%
ASCII 999
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
367
36.7%
1 97
 
9.7%
) 92
 
9.2%
( 92
 
9.2%
2 56
 
5.6%
0 41
 
4.1%
4 39
 
3.9%
, 35
 
3.5%
3 33
 
3.3%
8 31
 
3.1%
Other values (9) 116
 
11.6%
Hangul
ValueCountFrequency (%)
동 126
 
9.1%
로 104
 
7.5%
연 92
 
6.6%
수 92
 
6.6%
인 70
 
5.1%
구 63
 
4.5%
천 60
 
4.3%
시 58
 
4.2%
광 54
 
3.9%
역 54
 
3.9%
Other values (110) 613
44.2%

위도
Real number (ℝ)

Distinct90
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.417251
Minimum37.399651
Maximum37.435912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-28T19:57:58.118456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.399651
5-th percentile37.405849
Q137.413628
median37.416889
Q337.422556
95-th percentile37.42862
Maximum37.435912
Range0.036261
Interquartile range (IQR)0.0089275

Descriptive statistics

Standard deviation0.0075510035
Coefficient of variation (CV)0.00020180541
Kurtosis-0.28544164
Mean37.417251
Median Absolute Deviation (MAD)0.004557
Skewness0.13794808
Sum3853.9768
Variance5.7017654 × 10-5
MonotonicityNot monotonic
2024-01-28T19:57:58.228462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.417019 3
 
2.9%
37.418596 3
 
2.9%
37.406106 3
 
2.9%
37.415057 2
 
1.9%
37.427835 2
 
1.9%
37.417588 2
 
1.9%
37.407683 2
 
1.9%
37.422474 2
 
1.9%
37.413628 2
 
1.9%
37.419741 2
 
1.9%
Other values (80) 80
77.7%
ValueCountFrequency (%)
37.399651 1
 
1.0%
37.402665 1
 
1.0%
37.404158 1
 
1.0%
37.404525 1
 
1.0%
37.405395 1
 
1.0%
37.405839 1
 
1.0%
37.405936 1
 
1.0%
37.406106 3
2.9%
37.406771 1
 
1.0%
37.407132 1
 
1.0%
ValueCountFrequency (%)
37.435912 1
1.0%
37.434866 1
1.0%
37.434309 1
1.0%
37.430693 1
1.0%
37.429424 1
1.0%
37.428657 1
1.0%
37.428286 1
1.0%
37.427835 2
1.9%
37.427564 1
1.0%
37.427495 1
1.0%

경도
Real number (ℝ)

Distinct90
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.67398
Minimum126.64267
Maximum126.70273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-28T19:57:58.344333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.64267
5-th percentile126.64702
Q1126.66798
median126.67597
Q3126.68289
95-th percentile126.69801
Maximum126.70273
Range0.060053
Interquartile range (IQR)0.014912

Descriptive statistics

Standard deviation0.013863385
Coefficient of variation (CV)0.00010944145
Kurtosis-0.13960449
Mean126.67398
Median Absolute Deviation (MAD)0.007216
Skewness-0.3158093
Sum13047.42
Variance0.00019219343
MonotonicityNot monotonic
2024-01-28T19:57:58.453537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.678112 3
 
2.9%
126.688837 3
 
2.9%
126.683724 3
 
2.9%
126.675168 2
 
1.9%
126.655015 2
 
1.9%
126.677207 2
 
1.9%
126.671176 2
 
1.9%
126.669874 2
 
1.9%
126.675972 2
 
1.9%
126.669166 2
 
1.9%
Other values (80) 80
77.7%
ValueCountFrequency (%)
126.642673 1
1.0%
126.644426 1
1.0%
126.645617 1
1.0%
126.645626 1
1.0%
126.645705 1
1.0%
126.646838 1
1.0%
126.6487 1
1.0%
126.651134 1
1.0%
126.651584 1
1.0%
126.653046 1
1.0%
ValueCountFrequency (%)
126.702726 1
1.0%
126.70152 1
1.0%
126.700594 1
1.0%
126.698893 1
1.0%
126.698819 1
1.0%
126.698136 1
1.0%
126.696847 1
1.0%
126.694942 1
1.0%
126.693546 1
1.0%
126.690184 1
1.0%

Interactions

2024-01-28T19:57:56.325853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:57:55.901498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:57:56.116703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:57:56.405755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:57:55.974903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:57:56.187488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:57:56.494006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:57:56.047568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:57:56.257509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T19:57:58.544001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명시설군 형태시설면적위도경도
시설명1.0000.9200.8540.9910.996
시설군 형태0.9201.0000.6420.2600.333
시설면적0.8540.6421.0000.0000.000
위도0.9910.2600.0001.0000.870
경도0.9960.3330.0000.8701.000
2024-01-28T19:57:58.645102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설면적위도경도시설군 형태
시설면적1.000-0.1110.2300.399
위도-0.1111.000-0.0180.103
경도0.230-0.0181.0000.137
시설군 형태0.3990.1030.1371.000

Missing values

2024-01-28T19:57:56.582337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T19:57:56.655592image/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

시설명시설군 형태시설면적주소위도경도
0롯데마트 연수점대규모점포14249.33연수구 청능대로 8737.415057126.675168
1이마트 연수점대규모점포48452.0연수구 경원대로37.418265126.690184
2홈플러스 인천연수점대규모점포18368.0연수구 청능대로 21037.413628126.675972
3스퀘어원대규모점포108250.18연수구 청능대로 21037.413628126.675972
4엘에프네트웍스연수점대규모점포17180.0연수구 청능대로23번길 1137.419741126.669166
5우리산후조리원산후조리원800.69인천광역시 연수구 앵고개로 248 (동춘동)37.408315126.671248
6스파렉스 대중사우나목욕장업1063.64인천광역시 연수구 먼우금로 189, 소망글로벌 801호 (청학동)37.422474126.669874
7진부령 한증막목욕장업1478.09인천광역시 연수구 청량로97번길 41 (동춘동)37.41547126.654604
8태평양사우나목욕장업1506.18인천광역시 연수구 비류대로 170, 지하 1층B01호, 지하2층 B02호 (옥련동)37.428286126.653432
9선학스파24시불한증막사우나목욕장업2122.9인천광역시 연수구 선학로 101, 지하 1층 101호 (선학동, 뉴서울아파트상가동 )37.425768126.700594
시설명시설군 형태시설면적주소위도경도
93샘말공원지하공영주차장실내주차장2138.85샘말로 68-5 (연수동)37.414126.680396
94브랫슬실내주차장4949.24벚꽃로 114 (연수동)37.417019126.678112
95롯데슈퍼연수점실내주차장5314.11앵고개로 266 (동춘동)37.405395126.672745
96롯데마트 연수점실내주차장8801.09청능대로 87 (청학동)37.415057126.675168
97두손이리옴3실내주차장2798.9먼우금로188번길 12 (연수동)37.413384126.676506
98두손이리옴1실내주차장2466.89청능대로 93 (청학동)37.414254126.675685
99늘봄공원주차장실내주차장2209.29샘말로 37-7 (연수동)37.41305126.678237
100광장프라자실내주차장6592.34벚꽃로 106 (청학동)37.417588126.677207
101가천대학교실내주차장2504.24함박뫼로 191 (연수동)37.422401126.687998
102동춘동 공영주차장실내주차장2209.29앵고개로246번길 7-14 (동춘동)37.407683126.671176