Overview

Dataset statistics

Number of variables9
Number of observations137
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory75.9 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description경기도 광주시 내 위치한 실내공기질 관리법 적용대상 다중이용시설 현황에 대한 데이터로 시설명, 소재지도로명주소, 소재지지번주소, 면적, 경도, 위도 등을 제공합니다.
Author경기도 광주시
URLhttps://www.data.go.kr/data/15035494/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-03-14 10:07:58.956544
Analysis finished2024-03-14 10:08:01.615435
Duration2.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
광주시
137 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주시 137
100.0%

Length

2024-03-14T19:08:01.731594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:08:01.898111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주시 137
100.0%

시설구분
Categorical

Distinct13
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
어린이집
73 
노인요양시설
22 
실내주차장
11 
의료기관
 
7
학원
 
5
Other values (8)
19 

Length

Max length19
Median length4
Mean length5.0583942
Min length2

Unique

Unique3 ?
Unique (%)2.2%

Sample

1st row실내 어린이놀이시설
2nd row실내 어린이놀이시설
3rd row인터넷컴퓨터게임시설제공업의 영업시설
4th row인터넷컴퓨터게임시설제공업의 영업시설
5th row인터넷컴퓨터게임시설제공업의 영업시설

Common Values

ValueCountFrequency (%)
어린이집 73
53.3%
노인요양시설 22
 
16.1%
실내주차장 11
 
8.0%
의료기관 7
 
5.1%
학원 5
 
3.6%
인터넷컴퓨터게임시설제공업의 영업시설 4
 
2.9%
목욕장업의 영업시설 4
 
2.9%
대규모점포 4
 
2.9%
실내 어린이놀이시설 2
 
1.5%
영화상영관 2
 
1.5%
Other values (3) 3
 
2.2%

Length

2024-03-14T19:08:02.139696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이집 73
49.7%
노인요양시설 22
 
15.0%
실내주차장 11
 
7.5%
영업시설 8
 
5.4%
의료기관 7
 
4.8%
학원 5
 
3.4%
인터넷컴퓨터게임시설제공업의 4
 
2.7%
목욕장업의 4
 
2.7%
대규모점포 4
 
2.7%
실내 2
 
1.4%
Other values (5) 7
 
4.8%

시설명
Text

Distinct136
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T19:08:02.960855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length8.0729927
Min length4

Characters and Unicode

Total characters1106
Distinct characters255
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)98.5%

Sample

1st row코코파파
2nd row광주어린이체육센터
3rd row스타덤PC 광주시청점
4th row스톤PC
5th rowReal PC
ValueCountFrequency (%)
곤지암리조트 4
 
2.5%
어린이집 3
 
1.9%
참조은병원 2
 
1.2%
㈜이마트 2
 
1.2%
요양원 2
 
1.2%
경기광주점 2
 
1.2%
광주터미널 2
 
1.2%
행복한요양원 2
 
1.2%
쌍용더플래티넘 1
 
0.6%
광주어린이체육센터 1
 
0.6%
Other values (140) 140
87.0%
2024-03-14T19:08:04.068684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 90
 
8.1%
어 77
 
7.0%
린 76
 
6.9%
집 75
 
6.8%
원 35
 
3.2%
26
 
2.4%
요 22
 
2.0%
양 22
 
2.0%
주 19
 
1.7%
광 18
 
1.6%
Other values (245) 646
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1030
93.1%
Space Separator 26
 
2.4%
Uppercase Letter 21
 
1.9%
Close Punctuation 7
 
0.6%
Open Punctuation 7
 
0.6%
Decimal Number 5
 
0.5%
Other Punctuation 4
 
0.4%
Other Symbol 3
 
0.3%
Lowercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 90
 
8.7%
어 77
 
7.5%
린 76
 
7.4%
집 75
 
7.3%
원 35
 
3.4%
요 22
 
2.1%
양 22
 
2.1%
주 19
 
1.8%
광 18
 
1.7%
스 17
 
1.7%
Other values (224) 579
56.2%
Uppercase Letter
ValueCountFrequency (%)
C 7
33.3%
P 4
19.0%
R 3
14.3%
S 2
 
9.5%
L 1
 
4.8%
E 1
 
4.8%
W 1
 
4.8%
V 1
 
4.8%
G 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
3 1
20.0%
7 1
20.0%
4 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
l 1
33.3%
a 1
33.3%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1033
93.4%
Common 49
 
4.4%
Latin 24
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 90
 
8.7%
어 77
 
7.5%
린 76
 
7.4%
집 75
 
7.3%
원 35
 
3.4%
요 22
 
2.1%
양 22
 
2.1%
주 19
 
1.8%
광 18
 
1.7%
스 17
 
1.6%
Other values (225) 582
56.3%
Latin
ValueCountFrequency (%)
C 7
29.2%
P 4
16.7%
R 3
12.5%
S 2
 
8.3%
L 1
 
4.2%
E 1
 
4.2%
W 1
 
4.2%
l 1
 
4.2%
a 1
 
4.2%
e 1
 
4.2%
Other values (2) 2
 
8.3%
Common
ValueCountFrequency (%)
26
53.1%
) 7
 
14.3%
( 7
 
14.3%
. 4
 
8.2%
2 2
 
4.1%
3 1
 
2.0%
7 1
 
2.0%
4 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1030
93.1%
ASCII 73
 
6.6%
None 3
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 90
 
8.7%
어 77
 
7.5%
린 76
 
7.4%
집 75
 
7.3%
원 35
 
3.4%
요 22
 
2.1%
양 22
 
2.1%
주 19
 
1.8%
광 18
 
1.7%
스 17
 
1.7%
Other values (224) 579
56.2%
ASCII
ValueCountFrequency (%)
26
35.6%
) 7
 
9.6%
( 7
 
9.6%
C 7
 
9.6%
P 4
 
5.5%
. 4
 
5.5%
R 3
 
4.1%
2 2
 
2.7%
S 2
 
2.7%
L 1
 
1.4%
Other values (10) 10
 
13.7%
None
ValueCountFrequency (%)
㈜ 3
100.0%

소재지도로명주소
Text

Distinct129
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T19:08:05.131880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length20.781022
Min length14

Characters and Unicode

Total characters2847
Distinct characters132
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)91.2%

Sample

1st row경기도 광주시 순암로 495
2nd row경기도 광주시 문형산길 240
3rd row경기도 광주시 중앙로 340
4th row경기도 광주시 중앙로 84
5th row경기도 광주시 경안로 14-3
ValueCountFrequency (%)
광주시 137
21.2%
경기도 135
20.9%
오포읍 28
 
4.3%
초월읍 21
 
3.3%
경안동 7
 
1.1%
목동길 6
 
0.9%
곤지암읍 6
 
0.9%
경충대로 6
 
0.9%
광주대로 5
 
0.8%
도척면 4
 
0.6%
Other values (231) 291
45.0%
2024-03-14T19:08:06.430048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
513
18.0%
경 169
 
5.9%
도 149
 
5.2%
광 149
 
5.2%
주 147
 
5.2%
기 138
 
4.8%
시 137
 
4.8%
1 103
 
3.6%
길 92
 
3.2%
로 80
 
2.8%
Other values (122) 1170
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1685
59.2%
Decimal Number 520
 
18.3%
Space Separator 513
 
18.0%
Dash Punctuation 65
 
2.3%
Close Punctuation 30
 
1.1%
Open Punctuation 30
 
1.1%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 169
 
10.0%
도 149
 
8.8%
광 149
 
8.8%
주 147
 
8.7%
기 138
 
8.2%
시 137
 
8.1%
길 92
 
5.5%
로 80
 
4.7%
읍 55
 
3.3%
번 36
 
2.1%
Other values (107) 533
31.6%
Decimal Number
ValueCountFrequency (%)
1 103
19.8%
2 64
12.3%
3 56
10.8%
4 50
9.6%
5 50
9.6%
8 46
8.8%
0 41
 
7.9%
6 40
 
7.7%
9 37
 
7.1%
7 33
 
6.3%
Space Separator
ValueCountFrequency (%)
513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1685
59.2%
Common 1162
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 169
 
10.0%
도 149
 
8.8%
광 149
 
8.8%
주 147
 
8.7%
기 138
 
8.2%
시 137
 
8.1%
길 92
 
5.5%
로 80
 
4.7%
읍 55
 
3.3%
번 36
 
2.1%
Other values (107) 533
31.6%
Common
ValueCountFrequency (%)
513
44.1%
1 103
 
8.9%
- 65
 
5.6%
2 64
 
5.5%
3 56
 
4.8%
4 50
 
4.3%
5 50
 
4.3%
8 46
 
4.0%
0 41
 
3.5%
6 40
 
3.4%
Other values (5) 134
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1685
59.2%
ASCII 1162
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
513
44.1%
1 103
 
8.9%
- 65
 
5.6%
2 64
 
5.5%
3 56
 
4.8%
4 50
 
4.3%
5 50
 
4.3%
8 46
 
4.0%
0 41
 
3.5%
6 40
 
3.4%
Other values (5) 134
 
11.5%
Hangul
ValueCountFrequency (%)
경 169
 
10.0%
도 149
 
8.8%
광 149
 
8.8%
주 147
 
8.7%
기 138
 
8.2%
시 137
 
8.1%
길 92
 
5.5%
로 80
 
4.7%
읍 55
 
3.3%
번 36
 
2.1%
Other values (107) 533
31.6%

소재지지번주소
Text

Distinct126
Distinct (%)92.6%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-03-14T19:08:07.500892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length20.911765
Min length14

Characters and Unicode

Total characters2844
Distinct characters103
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)89.0%

Sample

1st row경기도 광주시 삼동 258-5
2nd row경기도 광주시 신현동 46
3rd row경기도 광주시 송정동 406-11
4th row경기도 광주시 역동 25-11
5th row경기도 광주시 경안동 24-6
ValueCountFrequency (%)
경기도 136
21.7%
광주시 136
21.7%
오포읍 31
 
5.0%
초월읍 23
 
3.7%
경안동 14
 
2.2%
능평리 12
 
1.9%
곤지암읍 8
 
1.3%
양벌리 8
 
1.3%
역동 7
 
1.1%
도척면 7
 
1.1%
Other values (174) 244
39.0%
2024-03-14T19:08:08.962916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
510
17.9%
경 152
 
5.3%
도 151
 
5.3%
광 142
 
5.0%
주 140
 
4.9%
시 138
 
4.9%
기 138
 
4.9%
지 125
 
4.4%
1 103
 
3.6%
- 103
 
3.6%
Other values (93) 1142
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1717
60.4%
Decimal Number 514
 
18.1%
Space Separator 510
 
17.9%
Dash Punctuation 103
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 152
 
8.9%
도 151
 
8.8%
광 142
 
8.3%
주 140
 
8.2%
시 138
 
8.0%
기 138
 
8.0%
지 125
 
7.3%
번 101
 
5.9%
리 76
 
4.4%
동 69
 
4.0%
Other values (81) 485
28.2%
Decimal Number
ValueCountFrequency (%)
1 103
20.0%
2 68
13.2%
3 65
12.6%
5 53
10.3%
6 47
9.1%
4 47
9.1%
7 35
 
6.8%
0 34
 
6.6%
8 33
 
6.4%
9 29
 
5.6%
Space Separator
ValueCountFrequency (%)
510
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1717
60.4%
Common 1127
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 152
 
8.9%
도 151
 
8.8%
광 142
 
8.3%
주 140
 
8.2%
시 138
 
8.0%
기 138
 
8.0%
지 125
 
7.3%
번 101
 
5.9%
리 76
 
4.4%
동 69
 
4.0%
Other values (81) 485
28.2%
Common
ValueCountFrequency (%)
510
45.3%
1 103
 
9.1%
- 103
 
9.1%
2 68
 
6.0%
3 65
 
5.8%
5 53
 
4.7%
6 47
 
4.2%
4 47
 
4.2%
7 35
 
3.1%
0 34
 
3.0%
Other values (2) 62
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1717
60.4%
ASCII 1127
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
510
45.3%
1 103
 
9.1%
- 103
 
9.1%
2 68
 
6.0%
3 65
 
5.8%
5 53
 
4.7%
6 47
 
4.2%
4 47
 
4.2%
7 35
 
3.1%
0 34
 
3.0%
Other values (2) 62
 
5.5%
Hangul
ValueCountFrequency (%)
경 152
 
8.9%
도 151
 
8.8%
광 142
 
8.3%
주 140
 
8.2%
시 138
 
8.0%
기 138
 
8.0%
지 125
 
7.3%
번 101
 
5.9%
리 76
 
4.4%
동 69
 
4.0%
Other values (81) 485
28.2%

연면적
Real number (ℝ)

Distinct134
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2333.362
Minimum330.08
Maximum20305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T19:08:09.586569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330.08
5-th percentile454
Q1592
median861
Q32192
95-th percentile8929.302
Maximum20305
Range19974.92
Interquartile range (IQR)1600

Descriptive statistics

Standard deviation3388.5409
Coefficient of variation (CV)1.452214
Kurtosis9.6838989
Mean2333.362
Median Absolute Deviation (MAD)378
Skewness2.9152483
Sum319670.59
Variance11482210
MonotonicityNot monotonic
2024-03-14T19:08:10.044092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
800.0 2
 
1.5%
2264.0 2
 
1.5%
13462.0 2
 
1.5%
1397.0 1
 
0.7%
3175.72 1
 
0.7%
503.0 1
 
0.7%
450.0 1
 
0.7%
435.0 1
 
0.7%
592.0 1
 
0.7%
637.0 1
 
0.7%
Other values (124) 124
90.5%
ValueCountFrequency (%)
330.08 1
0.7%
331.22 1
0.7%
394.88 1
0.7%
435.0 1
0.7%
436.0 1
0.7%
448.0 1
0.7%
450.0 1
0.7%
455.0 1
0.7%
458.0 1
0.7%
459.0 1
0.7%
ValueCountFrequency (%)
20305.0 1
0.7%
18088.84 1
0.7%
13462.0 2
1.5%
11650.0 1
0.7%
9715.0 1
0.7%
9227.71 1
0.7%
8854.7 1
0.7%
8788.14 1
0.7%
8680.95 1
0.7%
8282.74 1
0.7%

경도
Real number (ℝ)

Distinct127
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.25392
Minimum127.14647
Maximum127.40934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T19:08:10.484754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.14647
5-th percentile127.16644
Q1127.22981
median127.25419
Q3127.29088
95-th percentile127.33908
Maximum127.40934
Range0.2628709
Interquartile range (IQR)0.0610702

Descriptive statistics

Standard deviation0.053136841
Coefficient of variation (CV)0.00041756546
Kurtosis0.20805233
Mean127.25392
Median Absolute Deviation (MAD)0.0328795
Skewness0.21629094
Sum17433.787
Variance0.0028235239
MonotonicityNot monotonic
2024-03-14T19:08:10.942915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2963701 4
 
2.9%
127.2602373 3
 
2.2%
127.2612214 3
 
2.2%
127.2870665 3
 
2.2%
127.2563066 2
 
1.5%
127.19981 1
 
0.7%
127.2509496 1
 
0.7%
127.1464666 1
 
0.7%
127.2431 1
 
0.7%
127.2459194 1
 
0.7%
Other values (117) 117
85.4%
ValueCountFrequency (%)
127.1464666 1
0.7%
127.1474607 1
0.7%
127.1510779 1
0.7%
127.1514559 1
0.7%
127.1633233 1
0.7%
127.1634103 1
0.7%
127.1647479 1
0.7%
127.1668655 1
0.7%
127.1673658 1
0.7%
127.1688458 1
0.7%
ValueCountFrequency (%)
127.4093375 1
0.7%
127.3959275 1
0.7%
127.3876312 1
0.7%
127.3725735 1
0.7%
127.3653561 1
0.7%
127.34702 1
0.7%
127.33935 1
0.7%
127.3390089 1
0.7%
127.3325516 1
0.7%
127.3250886 1
0.7%

위도
Real number (ℝ)

Distinct127
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.384486
Minimum37.279066
Maximum37.478159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T19:08:11.359169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.279066
5-th percentile37.336303
Q137.359361
median37.385545
Q337.41035
95-th percentile37.42948
Maximum37.478159
Range0.19909326
Interquartile range (IQR)0.05098903

Descriptive statistics

Standard deviation0.034186432
Coefficient of variation (CV)0.00091445506
Kurtosis0.73528797
Mean37.384486
Median Absolute Deviation (MAD)0.02508819
Skewness-0.31385826
Sum5121.6746
Variance0.0011687121
MonotonicityNot monotonic
2024-03-14T19:08:11.824262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.33750402 4
 
2.9%
37.41093001 3
 
2.2%
37.40963859 3
 
2.2%
37.41924933 3
 
2.2%
37.40858961 2
 
1.5%
37.41109 1
 
0.7%
37.40545613 1
 
0.7%
37.35454103 1
 
0.7%
37.3565 1
 
0.7%
37.41372319 1
 
0.7%
Other values (117) 117
85.4%
ValueCountFrequency (%)
37.27906601 1
 
0.7%
37.28362 1
 
0.7%
37.29039237 1
 
0.7%
37.30164219 1
 
0.7%
37.32791566 1
 
0.7%
37.33241467 1
 
0.7%
37.3361431 1
 
0.7%
37.33634348 1
 
0.7%
37.33750402 4
2.9%
37.34347548 1
 
0.7%
ValueCountFrequency (%)
37.47815927 1
0.7%
37.46961847 1
0.7%
37.46789509 1
0.7%
37.43847369 1
0.7%
37.43796996 1
0.7%
37.43154453 1
0.7%
37.42967 1
0.7%
37.42943296 1
0.7%
37.42772458 1
0.7%
37.42678153 1
0.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-05
137 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-05
2nd row2024-01-05
3rd row2024-01-05
4th row2024-01-05
5th row2024-01-05

Common Values

ValueCountFrequency (%)
2024-01-05 137
100.0%

Length

2024-03-14T19:08:12.266873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:08:12.573615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-05 137
100.0%

Interactions

2024-03-14T19:08:00.634933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:59.507638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:08:00.163362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:08:00.822643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:59.805066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:08:00.325255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:08:01.055402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:59.961148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:08:00.468837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:08:12.769153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분연면적경도위도
시설구분1.0000.6610.3750.324
연면적0.6611.0000.0000.153
경도0.3750.0001.0000.815
위도0.3240.1530.8151.000
2024-03-14T19:08:13.027638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적경도위도시설구분
연면적1.0000.2200.0780.353
경도0.2201.0000.0590.161
위도0.0780.0591.0000.136
시설구분0.3530.1610.1361.000

Missing values

2024-03-14T19:08:01.288090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:08:01.523477image/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

시군명시설구분시설명소재지도로명주소소재지지번주소연면적경도위도데이터기준일자
0광주시실내 어린이놀이시설코코파파경기도 광주시 순암로 495경기도 광주시 삼동 258-51397.0127.1998137.411092024-01-05
1광주시실내 어린이놀이시설광주어린이체육센터경기도 광주시 문형산길 240경기도 광주시 신현동 46986.0127.17756737.3739992024-01-05
2광주시인터넷컴퓨터게임시설제공업의 영업시설스타덤PC 광주시청점경기도 광주시 중앙로 340경기도 광주시 송정동 406-11331.22127.2593437.429672024-01-05
3광주시인터넷컴퓨터게임시설제공업의 영업시설스톤PC경기도 광주시 중앙로 84경기도 광주시 역동 25-11485.04127.2598237.407712024-01-05
4광주시인터넷컴퓨터게임시설제공업의 영업시설Real PC경기도 광주시 경안로 14-3경기도 광주시 경안동 24-6394.88127.2590237.410352024-01-05
5광주시인터넷컴퓨터게임시설제공업의 영업시설제로백PC방(광주태전점)경기도 광주시 벼루개로 36, 서원프라자3 지하1층경기도 광주시 태전동 118-5330.08127.23255737.3825232024-01-05
6광주시학원역사적사명 기숙학원(구.용인종로기숙학원)경기도 광주시 양지길 105경기도 광주시 초월읍 무갑리 520-19번지8788.14127.32098837.4122942024-01-05
7광주시학원광주비상에듀기숙학원경기도 광주시 회안대로 99경기도 광주시 오포읍 매산리 605번지2324.92127.24413437.3630352024-01-05
8광주시학원이투스247독학기숙학원(구.강남청솔기숙학원)경기도 광주시 초월읍 두둘기길 68-13, (신월리)경기도 광주시 초월읍 신월리 217-1번지6899.77127.31827737.4009972024-01-05
9광주시학원광주중장비학원경기도 광주시 곤지암읍 경충대로184번길 57-22경기도 광주시 곤지암읍 수양리 1211261.0127.38763137.3324152024-01-05
시군명시설구분시설명소재지도로명주소소재지지번주소연면적경도위도데이터기준일자
127광주시실내주차장광주시 청소년수련관경기도 광주시 회안대로350-17경기도 광주시 태전동 7-10번지9715.0127.23589437.385232024-01-05
128광주시실내주차장㈜이마트경기도 광주시 광주대로 30 (경안동)경기도 광주시 경안동 25-3번지20305.0127.26122137.4096392024-01-05
129광주시실내주차장참조은병원경기도 광주시 광주대로45 (경안동)경기도 광주시 경안동 20-61번지2264.0127.26023737.410932024-01-05
130광주시실내주차장현대해상연수원경기도 광주시 도척면 마도로 112-51경기도 광주시 방도리 239-12264.0127.26023737.410932024-01-05
131광주시실내주차장광주역세권 공영주차장경기도 광주시 광주역4로 15경기도 광주시 역동 176-683680.71127.25286437.4003052024-01-05
132광주시실내주차장금호리첸시아광주시 경안로41번길 6(경안동)경기도 광주시 경안동 447번지 경기광주역금호리첸시아13462.0127.25630737.408592024-01-05
133광주시실내주차장곤지암리조트 EW빌리지경기도 광주시 도척윗로 278경기도 광주시 도척면 도웅리 534번지9227.71127.2963737.3375042024-01-05
134광주시실내주차장곤지암리조트 L빌리지센터경기도 광주시 도척윗로 278경기도 광주시 도척면 도웅리 534번지3284.89127.2963737.3375042024-01-05
135광주시실내주차장곤지암리조트 빌리지센터경기도 광주시 도척윗로 278경기도 광주시 도척면 도웅리 534번지5912.3127.2963737.3375042024-01-05
136광주시실내주차장곤지암리조트 주차타워경기도 광주시 도척윗로 278경기도 광주시 도척면 도웅리 534번지8282.74127.2963737.3375042024-01-05