Overview

Dataset statistics

Number of variables10
Number of observations44
Missing cells2
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory86.0 B

Variable types

Categorical3
Text4
Numeric3

Dataset

Description경기도 여주시의 실내공기질관리법 적용대상 다중이용시설 현황 데이터입니다. 시설구분, 시설명, 소재지도로명주소, 소재지지번주소, 전화번호, 연면적, 위도, 경도 등의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15100695/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 2 (4.5%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:05:49.629523
Analysis finished2023-12-12 04:05:51.519984
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
여주시
44 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여주시 44
100.0%

Length

2023-12-12T13:05:51.599111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:05:51.703385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여주시 44
100.0%

시설구분
Categorical

Distinct14
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
어린이집
10 
의료기관
8 
노인요양시설
6 
실내주차장
4 
목욕장업
3 
Other values (9)
13 

Length

Max length13
Median length10
Mean length4.8636364
Min length3

Unique

Unique5 ?
Unique (%)11.4%

Sample

1st row장례식장
2nd row노인요양시설
3rd row노인요양시설
4th row노인요양시설
5th row노인요양시설

Common Values

ValueCountFrequency (%)
어린이집 10
22.7%
의료기관 8
18.2%
노인요양시설 6
13.6%
실내주차장 4
 
9.1%
목욕장업 3
 
6.8%
인터넷컴퓨터게임시설제공업 2
 
4.5%
학원 2
 
4.5%
관광숙박업 2
 
4.5%
대규모점포 2
 
4.5%
장례식장 1
 
2.3%
Other values (4) 4
 
9.1%

Length

2023-12-12T13:05:51.812018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이집 10
22.7%
의료기관 8
18.2%
노인요양시설 6
13.6%
실내주차장 4
 
9.1%
목욕장업 3
 
6.8%
인터넷컴퓨터게임시설제공업 2
 
4.5%
학원 2
 
4.5%
관광숙박업 2
 
4.5%
대규모점포 2
 
4.5%
장례식장 1
 
2.3%
Other values (4) 4
 
9.1%

시설명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T13:05:52.065325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length8.7272727
Min length5

Characters and Unicode

Total characters384
Distinct characters135
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row세종여주병원장례식장
2nd row너싱홈 돌체
3rd row대진요양시설
4th row시애노병원부설 전문요양센터
5th row우리노인요양원
ValueCountFrequency (%)
pc 2
 
3.6%
실내주차장 2
 
3.6%
세종여주병원장례식장 1
 
1.8%
주)여주이마트 1
 
1.8%
신관 1
 
1.8%
㈜신세계사이먼(대규모점포 1
 
1.8%
㈜신세계사이먼(실내주차장 1
 
1.8%
여주비상에듀기숙학원 1
 
1.8%
케이엘에이에스학원 1
 
1.8%
일성콘도천연옥사우나 1
 
1.8%
Other values (43) 43
78.2%
2023-12-12T13:05:52.579356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 19
 
4.9%
주 17
 
4.4%
원 16
 
4.2%
여 13
 
3.4%
11
 
2.9%
병 10
 
2.6%
집 10
 
2.6%
린 10
 
2.6%
어 10
 
2.6%
리 9
 
2.3%
Other values (125) 259
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 348
90.6%
Space Separator 11
 
2.9%
Uppercase Letter 7
 
1.8%
Other Symbol 5
 
1.3%
Close Punctuation 5
 
1.3%
Open Punctuation 5
 
1.3%
Other Punctuation 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 19
 
5.5%
주 17
 
4.9%
원 16
 
4.6%
여 13
 
3.7%
병 10
 
2.9%
집 10
 
2.9%
린 10
 
2.9%
어 10
 
2.9%
리 9
 
2.6%
세 7
 
2.0%
Other values (114) 227
65.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
28.6%
P 2
28.6%
G 1
14.3%
A 1
14.3%
T 1
14.3%
Other Punctuation
ValueCountFrequency (%)
/ 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 353
91.9%
Common 24
 
6.2%
Latin 7
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 19
 
5.4%
주 17
 
4.8%
원 16
 
4.5%
여 13
 
3.7%
병 10
 
2.8%
집 10
 
2.8%
린 10
 
2.8%
어 10
 
2.8%
리 9
 
2.5%
세 7
 
2.0%
Other values (115) 232
65.7%
Common
ValueCountFrequency (%)
11
45.8%
) 5
20.8%
( 5
20.8%
/ 2
 
8.3%
& 1
 
4.2%
Latin
ValueCountFrequency (%)
C 2
28.6%
P 2
28.6%
G 1
14.3%
A 1
14.3%
T 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 348
90.6%
ASCII 31
 
8.1%
None 5
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 19
 
5.5%
주 17
 
4.9%
원 16
 
4.6%
여 13
 
3.7%
병 10
 
2.9%
집 10
 
2.9%
린 10
 
2.9%
어 10
 
2.9%
리 9
 
2.6%
세 7
 
2.0%
Other values (114) 227
65.2%
ASCII
ValueCountFrequency (%)
11
35.5%
) 5
16.1%
( 5
16.1%
/ 2
 
6.5%
C 2
 
6.5%
P 2
 
6.5%
& 1
 
3.2%
G 1
 
3.2%
A 1
 
3.2%
T 1
 
3.2%
None
ValueCountFrequency (%)
㈜ 5
100.0%

소재지도로명주소
Text

Distinct35
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T13:05:52.892195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length19.295455
Min length13

Characters and Unicode

Total characters849
Distinct characters74
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

Unique28 ?
Unique (%)63.6%

Sample

1st row경기도 여주시 청심로 39
2nd row경기도 여주시 가남읍 신대동길 2-41
3rd row경기도 여주시 강천면 강천로 702
4th row경기도 여주시 북내면 도예로 361-40
5th row경기도 여주시 능서면 중부대로 2806-4
ValueCountFrequency (%)
경기도 44
22.1%
여주시 44
22.1%
가남읍 5
 
2.5%
명품로 4
 
2.0%
360 4
 
2.0%
세종로 4
 
2.0%
45(연양동 3
 
1.5%
신륵로 3
 
1.5%
5 3
 
1.5%
강천면 3
 
1.5%
Other values (61) 82
41.2%
2023-12-12T13:05:53.449108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
18.3%
여 49
 
5.8%
도 48
 
5.7%
경 47
 
5.5%
주 45
 
5.3%
시 44
 
5.2%
기 44
 
5.2%
로 35
 
4.1%
1 31
 
3.7%
3 23
 
2.7%
Other values (64) 328
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 502
59.1%
Space Separator 155
 
18.3%
Decimal Number 155
 
18.3%
Dash Punctuation 19
 
2.2%
Close Punctuation 8
 
0.9%
Open Punctuation 8
 
0.9%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 49
 
9.8%
도 48
 
9.6%
경 47
 
9.4%
주 45
 
9.0%
시 44
 
8.8%
기 44
 
8.8%
로 35
 
7.0%
길 14
 
2.8%
면 12
 
2.4%
동 10
 
2.0%
Other values (49) 154
30.7%
Decimal Number
ValueCountFrequency (%)
1 31
20.0%
3 23
14.8%
6 18
11.6%
4 17
11.0%
2 16
10.3%
5 13
8.4%
0 13
8.4%
9 12
 
7.7%
7 7
 
4.5%
8 5
 
3.2%
Space Separator
ValueCountFrequency (%)
155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 502
59.1%
Common 347
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 49
 
9.8%
도 48
 
9.6%
경 47
 
9.4%
주 45
 
9.0%
시 44
 
8.8%
기 44
 
8.8%
로 35
 
7.0%
길 14
 
2.8%
면 12
 
2.4%
동 10
 
2.0%
Other values (49) 154
30.7%
Common
ValueCountFrequency (%)
155
44.7%
1 31
 
8.9%
3 23
 
6.6%
- 19
 
5.5%
6 18
 
5.2%
4 17
 
4.9%
2 16
 
4.6%
5 13
 
3.7%
0 13
 
3.7%
9 12
 
3.5%
Other values (5) 30
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 502
59.1%
ASCII 347
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
44.7%
1 31
 
8.9%
3 23
 
6.6%
- 19
 
5.5%
6 18
 
5.2%
4 17
 
4.9%
2 16
 
4.6%
5 13
 
3.7%
0 13
 
3.7%
9 12
 
3.5%
Other values (5) 30
 
8.6%
Hangul
ValueCountFrequency (%)
여 49
 
9.8%
도 48
 
9.6%
경 47
 
9.4%
주 45
 
9.0%
시 44
 
8.8%
기 44
 
8.8%
로 35
 
7.0%
길 14
 
2.8%
면 12
 
2.4%
동 10
 
2.0%
Other values (49) 154
30.7%

소재지지번주소
Text

Distinct35
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T13:05:53.781294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length17.659091
Min length14

Characters and Unicode

Total characters777
Distinct characters59
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

Unique29 ?
Unique (%)65.9%

Sample

1st row경기도 여주시 하동 435
2nd row경기도 여주시 가남읍 신해리 12
3rd row경기도 여주시 강천면 가야리 781
4th row경기도 여주시 북내면 신남리 149-106
5th row경기도 여주시 능서면 왕대리 산 130-37
ValueCountFrequency (%)
경기도 44
22.7%
여주시 44
22.7%
홍문동 6
 
3.1%
가남읍 5
 
2.6%
천송동 5
 
2.6%
460 4
 
2.1%
연양동 3
 
1.5%
414 3
 
1.5%
능서면 3
 
1.5%
은봉리 3
 
1.5%
Other values (54) 74
38.1%
2023-12-12T13:05:54.308669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
151
19.4%
경 44
 
5.7%
도 44
 
5.7%
여 44
 
5.7%
주 44
 
5.7%
시 44
 
5.7%
기 44
 
5.7%
1 31
 
4.0%
동 28
 
3.6%
- 26
 
3.3%
Other values (49) 277
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 439
56.5%
Decimal Number 161
 
20.7%
Space Separator 151
 
19.4%
Dash Punctuation 26
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 44
 
10.0%
도 44
 
10.0%
여 44
 
10.0%
주 44
 
10.0%
시 44
 
10.0%
기 44
 
10.0%
동 28
 
6.4%
리 16
 
3.6%
면 11
 
2.5%
천 8
 
1.8%
Other values (37) 112
25.5%
Decimal Number
ValueCountFrequency (%)
1 31
19.3%
4 26
16.1%
8 18
11.2%
3 18
11.2%
2 15
9.3%
5 14
8.7%
6 13
8.1%
0 11
 
6.8%
7 9
 
5.6%
9 6
 
3.7%
Space Separator
ValueCountFrequency (%)
151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 439
56.5%
Common 338
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 44
 
10.0%
도 44
 
10.0%
여 44
 
10.0%
주 44
 
10.0%
시 44
 
10.0%
기 44
 
10.0%
동 28
 
6.4%
리 16
 
3.6%
면 11
 
2.5%
천 8
 
1.8%
Other values (37) 112
25.5%
Common
ValueCountFrequency (%)
151
44.7%
1 31
 
9.2%
- 26
 
7.7%
4 26
 
7.7%
8 18
 
5.3%
3 18
 
5.3%
2 15
 
4.4%
5 14
 
4.1%
6 13
 
3.8%
0 11
 
3.3%
Other values (2) 15
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 439
56.5%
ASCII 338
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
151
44.7%
1 31
 
9.2%
- 26
 
7.7%
4 26
 
7.7%
8 18
 
5.3%
3 18
 
5.3%
2 15
 
4.4%
5 14
 
4.1%
6 13
 
3.8%
0 11
 
3.3%
Other values (2) 15
 
4.4%
Hangul
ValueCountFrequency (%)
경 44
 
10.0%
도 44
 
10.0%
여 44
 
10.0%
주 44
 
10.0%
시 44
 
10.0%
기 44
 
10.0%
동 28
 
6.4%
리 16
 
3.6%
면 11
 
2.5%
천 8
 
1.8%
Other values (37) 112
25.5%

전화번호
Text

MISSING 

Distinct35
Distinct (%)83.3%
Missing2
Missing (%)4.5%
Memory size484.0 B
2023-12-12T13:05:54.607676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters504
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)71.4%

Sample

1st row031-886-4496
2nd row031-883-9393
3rd row031-887-0500
4th row031-883-1088
5th row031-882-6401
ValueCountFrequency (%)
031-883-1199 3
 
7.1%
031-880-1298 3
 
7.1%
031-882-6401 2
 
4.8%
031-883-7585 2
 
4.8%
031-887-0500 2
 
4.8%
031-887-6100 1
 
2.4%
031-883-2800 1
 
2.4%
031-883-7713 1
 
2.4%
031-885-4800 1
 
2.4%
031-880-3889 1
 
2.4%
Other values (25) 25
59.5%
2023-12-12T13:05:55.108765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 105
20.8%
- 84
16.7%
0 83
16.5%
1 66
13.1%
3 62
12.3%
7 22
 
4.4%
6 19
 
3.8%
2 18
 
3.6%
9 17
 
3.4%
5 16
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 420
83.3%
Dash Punctuation 84
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 105
25.0%
0 83
19.8%
1 66
15.7%
3 62
14.8%
7 22
 
5.2%
6 19
 
4.5%
2 18
 
4.3%
9 17
 
4.0%
5 16
 
3.8%
4 12
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 105
20.8%
- 84
16.7%
0 83
16.5%
1 66
13.1%
3 62
12.3%
7 22
 
4.4%
6 19
 
3.8%
2 18
 
3.6%
9 17
 
3.4%
5 16
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 105
20.8%
- 84
16.7%
0 83
16.5%
1 66
13.1%
3 62
12.3%
7 22
 
4.4%
6 19
 
3.8%
2 18
 
3.6%
9 17
 
3.4%
5 16
 
3.2%

연면적
Real number (ℝ)

Distinct42
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5957.4216
Minimum316.26
Maximum53948
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T13:05:55.334378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum316.26
5-th percentile442.9625
Q1870.3175
median3036.34
Q36101
95-th percentile21281.85
Maximum53948
Range53631.74
Interquartile range (IQR)5230.6825

Descriptive statistics

Standard deviation10104.741
Coefficient of variation (CV)1.6961602
Kurtosis13.512007
Mean5957.4216
Median Absolute Deviation (MAD)2460.84
Skewness3.4934115
Sum262126.55
Variance1.021058 × 108
MonotonicityNot monotonic
2023-12-12T13:05:55.536669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
6101.0 2
 
4.5%
491.0 2
 
4.5%
4245.0 1
 
2.3%
8461.51 1
 
2.3%
3339.28 1
 
2.3%
1206.3 1
 
2.3%
1380.7 1
 
2.3%
2544.0 1
 
2.3%
22392.0 1
 
2.3%
53948.0 1
 
2.3%
Other values (32) 32
72.7%
ValueCountFrequency (%)
316.26 1
2.3%
439.0 1
2.3%
439.25 1
2.3%
464.0 1
2.3%
491.0 2
4.5%
523.0 1
2.3%
527.0 1
2.3%
552.0 1
2.3%
599.0 1
2.3%
742.27 1
2.3%
ValueCountFrequency (%)
53948.0 1
2.3%
38505.19 1
2.3%
22392.0 1
2.3%
14991.0 1
2.3%
13581.72 1
2.3%
9504.9 1
2.3%
9403.67 1
2.3%
8947.25 1
2.3%
8461.51 1
2.3%
6415.0 1
2.3%

위도
Real number (ℝ)

Distinct36
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.275932
Minimum37.178493
Maximum37.399061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T13:05:56.108107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.178493
5-th percentile37.185174
Q137.253041
median37.291042
Q337.299843
95-th percentile37.325471
Maximum37.399061
Range0.22056777
Interquartile range (IQR)0.046802285

Descriptive statistics

Standard deviation0.043806304
Coefficient of variation (CV)0.00117519
Kurtosis1.0650738
Mean37.275932
Median Absolute Deviation (MAD)0.01040827
Skewness-0.41432533
Sum1640.141
Variance0.0019189923
MonotonicityNot monotonic
2023-12-12T13:05:56.299526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
37.30126167 3
 
6.8%
37.2931 3
 
6.8%
37.26270031 2
 
4.5%
37.241 2
 
4.5%
37.17849347 2
 
4.5%
37.29104173 2
 
4.5%
37.28425777 1
 
2.3%
37.39906124 1
 
2.3%
37.2265 1
 
2.3%
37.27117409 1
 
2.3%
Other values (26) 26
59.1%
ValueCountFrequency (%)
37.17849347 2
4.5%
37.18189354 1
2.3%
37.20376379 1
2.3%
37.20568627 1
2.3%
37.21476581 1
2.3%
37.2265 1
2.3%
37.241 2
4.5%
37.2423 1
2.3%
37.2459467 1
2.3%
37.25540514 1
2.3%
ValueCountFrequency (%)
37.39906124 1
 
2.3%
37.32660935 1
 
2.3%
37.32555275 1
 
2.3%
37.32500669 1
 
2.3%
37.31514722 1
 
2.3%
37.3015 1
 
2.3%
37.3014 1
 
2.3%
37.30126167 3
6.8%
37.29997126 1
 
2.3%
37.2998 1
 
2.3%

경도
Real number (ℝ)

Distinct36
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.63071
Minimum127.4569
Maximum127.72751
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T13:05:56.496680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.4569
5-th percentile127.55292
Q1127.61634
median127.63695
Q3127.65203
95-th percentile127.68804
Maximum127.72751
Range0.2706055
Interquartile range (IQR)0.035684925

Descriptive statistics

Standard deviation0.044696147
Coefficient of variation (CV)0.000350199
Kurtosis4.6981567
Mean127.63071
Median Absolute Deviation (MAD)0.0190543
Skewness-1.512147
Sum5615.7512
Variance0.0019977455
MonotonicityNot monotonic
2023-12-12T13:05:56.724971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
127.6507889 3
 
6.8%
127.6603 3
 
6.8%
127.6913664 2
 
4.5%
127.6141 2
 
4.5%
127.5661577 2
 
4.5%
127.6344787 2
 
4.5%
127.635666 1
 
2.3%
127.4569032 1
 
2.3%
127.6372 1
 
2.3%
127.7275087 1
 
2.3%
Other values (26) 26
59.1%
ValueCountFrequency (%)
127.4569032 1
2.3%
127.5481331 1
2.3%
127.5514581 1
2.3%
127.5612182 1
2.3%
127.5661577 2
4.5%
127.6123854 1
2.3%
127.6141 2
4.5%
127.6143 1
2.3%
127.6159312 1
2.3%
127.6164808 1
2.3%
ValueCountFrequency (%)
127.7275087 1
 
2.3%
127.6913664 2
4.5%
127.6691689 1
 
2.3%
127.6686196 1
 
2.3%
127.6679863 1
 
2.3%
127.6603 3
6.8%
127.6550095 1
 
2.3%
127.6534 1
 
2.3%
127.6515711 1
 
2.3%
127.6511736 1
 
2.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-06-15
44 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-15
2nd row2023-06-15
3rd row2023-06-15
4th row2023-06-15
5th row2023-06-15

Common Values

ValueCountFrequency (%)
2023-06-15 44
100.0%

Length

2023-12-12T13:05:56.911504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:05:57.059652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-15 44
100.0%

Interactions

2023-12-12T13:05:50.879259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:50.177563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:50.515898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:51.000115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:50.282753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:50.648515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:51.120279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:50.387004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:05:50.761818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:05:57.164948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분시설명소재지도로명주소소재지지번주소전화번호연면적위도경도
시설구분1.0001.0000.8640.9080.9320.5840.0000.000
시설명1.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소0.8641.0001.0001.0000.9940.0000.9891.000
소재지지번주소0.9081.0001.0001.0000.9970.0001.0001.000
전화번호0.9321.0000.9940.9971.0000.0001.0001.000
연면적0.5841.0000.0000.0000.0001.0000.2440.000
위도0.0001.0000.9891.0001.0000.2441.0000.938
경도0.0001.0001.0001.0001.0000.0000.9381.000
2023-12-12T13:05:57.327775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적위도경도시설구분
연면적1.0000.1030.0470.299
위도0.1031.0000.3510.000
경도0.0470.3511.0000.000
시설구분0.2990.0000.0001.000

Missing values

2023-12-12T13:05:51.282860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:05:51.450356image/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

시군명시설구분시설명소재지도로명주소소재지지번주소전화번호연면적위도경도데이터기준일자
0여주시장례식장세종여주병원장례식장경기도 여주시 청심로 39경기도 여주시 하동 435031-886-44961260.1237.3015127.62532023-06-15
1여주시노인요양시설너싱홈 돌체경기도 여주시 가남읍 신대동길 2-41경기도 여주시 가남읍 신해리 12031-883-93931386.037.214766127.5514582023-06-15
2여주시노인요양시설대진요양시설경기도 여주시 강천면 강천로 702경기도 여주시 강천면 가야리 781031-887-050013581.7237.2627127.6913662023-06-15
3여주시노인요양시설시애노병원부설 전문요양센터경기도 여주시 북내면 도예로 361-40경기도 여주시 북내면 신남리 149-106031-883-10881796.037.326609127.6679862023-06-15
4여주시노인요양시설우리노인요양원경기도 여주시 능서면 중부대로 2806-4경기도 여주시 능서면 왕대리 산 130-37031-882-64012836.0437.299588127.6164812023-06-15
5여주시노인요양시설우리노인전문요양원경기도 여주시 능서면 중부대로 2806-3경기도 여주시 능서면 왕대리 산 130-22031-882-64013799.3837.299971127.6169012023-06-15
6여주시노인요양시설파블러스요양원경기도 여주시 교동로 73경기도 여주시 교동 391-1031-885-14784348.4237.281818127.6319992023-06-15
7여주시어린이집귀여운어린이집경기도 여주시 세종로 173-45경기도 여주시 홍문동 384-4031-884-2806913.037.283665127.6373352023-06-15
8여주시어린이집꿈터어린이집경기도 여주시 여양로 372-24경기도 여주시 오학동 124-4031-886-10801650.037.315147127.6485042023-06-15
9여주시어린이집또래어린이집경기도 여주시 여흥로160번길 49-53경기도 여주시 상동 374-3031-886-2766491.037.292156127.6414842023-06-15
시군명시설구분시설명소재지도로명주소소재지지번주소전화번호연면적위도경도데이터기준일자
34여주시도서관여주도서관경기도 여주시 여양로 190-17경기도 여주시 천송동 561-3031-885-42424245.037.299725127.6511742023-06-15
35여주시의료기관경기도여주노인전문병원경기도 여주시 북내면 도예로 361-14경기도 여주시 북내면 신남리 149-5031-886-41005648.037.325007127.6691692023-06-15
36여주시의료기관대암의료재단 시애노병원경기도 여주시 북내면 도예로 361-30경기도 여주시 북내면 신남리 149-8031-886-61004623.9537.325553127.668622023-06-15
37여주시의료기관대진요양병원경기도 여주시 강천면 강천로 702경기도 여주시 강천면 가야리 781031-887-05008947.2537.2627127.6913662023-06-15
38여주시의료기관베스트요양병원경기도 여주시 가남읍 경충대로961번길 2-15경기도 여주시 가남읍 은봉리 141031-887-81009403.6737.181894127.5612182023-06-15
39여주시의료기관여주 연세새로운 병원경기도 여주시 영릉로 22경기도 여주시 창동 180-1031-885-75823236.6437.289873127.6329332023-06-15
40여주시의료기관여주세민병원경기도 여주시 가남읍 경충대로 924경기도 여주시 가남읍 은봉리 83031-883-75853337.8537.178493127.5661582023-06-15
41여주시의료기관여주세종병원경기도 여주시 청심로 39, 세종여주병원 (하동)경기도 여주시 하동 435-2031-880-77009504.937.3014127.62662023-06-15
42여주시의료기관여주순영병원경기도 여주시 가남읍 경충대로 924경기도 여주시 가남읍 은봉리 83031-883-75854228.4437.178493127.5661582023-06-15
43여주시박물관여주박물관경기도 여주시 신륵사길 6-12경기도 여주시 천송동 588-6031-887-35823267.4137.2998127.65342023-06-15