Overview

Dataset statistics

Number of variables13
Number of observations111
Missing cells97
Missing cells (%)6.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory111.2 B

Variable types

DateTime1
Categorical4
Text5
Numeric3

Dataset

Description경기도_보건 의료기관별 공중보건의 배치 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=EX4O49NE3DUZVP1818YR2246199&infSeq=1

Alerts

집계일자 has constant value ""Constant
소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
공중보건의 수(의과) is highly overall correlated with 공중보건의 수(한의과) and 1 other fieldsHigh correlation
공중보건의 수(한의과) is highly overall correlated with 공중보건의 수(의과) and 1 other fieldsHigh correlation
공중보건의 수(치과) is highly overall correlated with 공중보건의 수(의과) and 1 other fieldsHigh correlation
보건소전화번호 has 5 (4.5%) missing valuesMissing
홈페이지주소 has 92 (82.9%) missing valuesMissing
소재지우편번호 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:35:25.766262
Analysis finished2023-12-10 22:35:27.360422
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
Minimum2023-05-30 00:00:00
Maximum2023-05-30 00:00:00
2023-12-11T07:35:27.398232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:35:27.477090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

시군명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size1020.0 B
양평군
11 
포천시
11 
화성시
11 
여주시
10 
평택시
10 
Other values (12)
58 

Length

Max length4
Median length3
Mean length3.0540541
Min length3

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
양평군 11
9.9%
포천시 11
9.9%
화성시 11
9.9%
여주시 10
 
9.0%
평택시 10
 
9.0%
안성시 7
 
6.3%
용인시 7
 
6.3%
가평군 6
 
5.4%
이천시 6
 
5.4%
연천군 6
 
5.4%
Other values (7) 26
23.4%

Length

2023-12-11T07:35:27.573776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양평군 11
9.9%
포천시 11
9.9%
화성시 11
9.9%
여주시 10
 
9.0%
평택시 10
 
9.0%
안성시 7
 
6.3%
용인시 7
 
6.3%
연천군 6
 
5.4%
이천시 6
 
5.4%
가평군 6
 
5.4%
Other values (7) 26
23.4%

보건소명
Text

Distinct110
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T07:35:27.781452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.1441441
Min length5

Characters and Unicode

Total characters682
Distinct characters109
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)98.2%

Sample

1st row조종면보건지소
2nd row청평보건지소
3rd row북면보건지소
4th row가평군보건소
5th row상면보건지소
ValueCountFrequency (%)
이동보건지소 2
 
1.8%
이천시보건소 1
 
0.9%
현덕보건지소 1
 
0.9%
포승보건지소 1
 
0.9%
탄현보건지소 1
 
0.9%
파평보건지소 1
 
0.9%
파주시보건소 1
 
0.9%
적성보건지소 1
 
0.9%
월롱보건지소 1
 
0.9%
남부통합보건지소 1
 
0.9%
Other values (100) 100
90.1%
2023-12-11T07:35:28.095398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 111
16.3%
건 111
16.3%
소 110
16.1%
지 94
13.8%
양 12
 
1.8%
시 12
 
1.8%
남 9
 
1.3%
성 7
 
1.0%
천 7
 
1.0%
주 6
 
0.9%
Other values (99) 203
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 682
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 111
16.3%
건 111
16.3%
소 110
16.1%
지 94
13.8%
양 12
 
1.8%
시 12
 
1.8%
남 9
 
1.3%
성 7
 
1.0%
천 7
 
1.0%
주 6
 
0.9%
Other values (99) 203
29.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 682
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 111
16.3%
건 111
16.3%
소 110
16.1%
지 94
13.8%
양 12
 
1.8%
시 12
 
1.8%
남 9
 
1.3%
성 7
 
1.0%
천 7
 
1.0%
주 6
 
0.9%
Other values (99) 203
29.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 682
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 111
16.3%
건 111
16.3%
소 110
16.1%
지 94
13.8%
양 12
 
1.8%
시 12
 
1.8%
남 9
 
1.3%
성 7
 
1.0%
천 7
 
1.0%
주 6
 
0.9%
Other values (99) 203
29.8%

보건소전화번호
Text

MISSING 

Distinct106
Distinct (%)100.0%
Missing5
Missing (%)4.5%
Memory size1020.0 B
2023-12-11T07:35:28.306374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.09434
Min length9

Characters and Unicode

Total characters1282
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

Unique106 ?
Unique (%)100.0%

Sample

1st row031-585-0671
2nd row031-584-1007
3rd row031-582-0558
4th row031-582-2488
5th row031-585-2046
ValueCountFrequency (%)
031-678-5785 1
 
0.9%
031-887-3645 1
 
0.9%
031-8024-6777 1
 
0.9%
031-8024-4360 1
 
0.9%
031-8024-5559 1
 
0.9%
031-8024-8907 1
 
0.9%
031-8024-8706 1
 
0.9%
031-940-8335 1
 
0.9%
031-940-8339 1
 
0.9%
031-940-4800 1
 
0.9%
Other values (96) 96
90.6%
2023-12-11T07:35:28.675263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 211
16.5%
3 188
14.7%
0 183
14.3%
1 138
10.8%
8 128
10.0%
5 95
7.4%
7 88
6.9%
4 84
 
6.6%
6 65
 
5.1%
2 56
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1071
83.5%
Dash Punctuation 211
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 188
17.6%
0 183
17.1%
1 138
12.9%
8 128
12.0%
5 95
8.9%
7 88
8.2%
4 84
7.8%
6 65
 
6.1%
2 56
 
5.2%
9 46
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1282
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 211
16.5%
3 188
14.7%
0 183
14.3%
1 138
10.8%
8 128
10.0%
5 95
7.4%
7 88
6.9%
4 84
 
6.6%
6 65
 
5.1%
2 56
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 211
16.5%
3 188
14.7%
0 183
14.3%
1 138
10.8%
8 128
10.0%
5 95
7.4%
7 88
6.9%
4 84
 
6.6%
6 65
 
5.1%
2 56
 
4.4%

홈페이지주소
Text

MISSING 

Distinct17
Distinct (%)89.5%
Missing92
Missing (%)82.9%
Memory size1020.0 B
2023-12-11T07:35:28.854017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length46
Mean length41.842105
Min length24

Characters and Unicode

Total characters795
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)78.9%

Sample

1st rowhttp://www.gp.go.kr/health/index.do
2nd rowhttps://www.gjcity.go.kr/depart/contents.do?mId=0801000000
3rd rowhttp://www.gimpo.go.kr/health/main.do
4th rowhttps://www.nyj.go.kr/main/1671
5th rowhttps://www.ddc.go.kr/health/index.do?refer=/
ValueCountFrequency (%)
https://www.yongin.go.kr/health/index.do 2
 
10.5%
http://www.pyeongtaek.go.kr/health/contents.do?mid=0101030000 2
 
10.5%
http://www.yphealth.net 1
 
5.3%
http://www.gp.go.kr/health/index.do 1
 
5.3%
http://www.pocheon.go.kr/pbhlth/index.do 1
 
5.3%
https://clinic.paju.go.kr/clinic/index.do 1
 
5.3%
http://health.icheon.go.kr/site/health/main.do 1
 
5.3%
https://www.yeoncheon.go.kr/health/index.yeoncheon 1
 
5.3%
http://www.yeoju.go.kr/main/health 1
 
5.3%
https://www.anseong.go.kr/health/main.do 1
 
5.3%
Other values (7) 7
36.8%
2023-12-11T07:35:29.136728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 78
 
9.8%
. 71
 
8.9%
t 70
 
8.8%
h 60
 
7.5%
o 49
 
6.2%
e 46
 
5.8%
w 45
 
5.7%
n 41
 
5.2%
a 31
 
3.9%
p 28
 
3.5%
Other values (25) 276
34.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 582
73.2%
Other Punctuation 172
 
21.6%
Decimal Number 34
 
4.3%
Math Symbol 4
 
0.5%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 70
12.0%
h 60
 
10.3%
o 49
 
8.4%
e 46
 
7.9%
w 45
 
7.7%
n 41
 
7.0%
a 31
 
5.3%
p 28
 
4.8%
d 28
 
4.8%
g 27
 
4.6%
Other values (13) 157
27.0%
Decimal Number
ValueCountFrequency (%)
0 22
64.7%
1 7
 
20.6%
3 2
 
5.9%
8 1
 
2.9%
6 1
 
2.9%
7 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
/ 78
45.3%
. 71
41.3%
: 19
 
11.0%
? 4
 
2.3%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 585
73.6%
Common 210
 
26.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 70
12.0%
h 60
 
10.3%
o 49
 
8.4%
e 46
 
7.9%
w 45
 
7.7%
n 41
 
7.0%
a 31
 
5.3%
p 28
 
4.8%
d 28
 
4.8%
g 27
 
4.6%
Other values (14) 160
27.4%
Common
ValueCountFrequency (%)
/ 78
37.1%
. 71
33.8%
0 22
 
10.5%
: 19
 
9.0%
1 7
 
3.3%
? 4
 
1.9%
= 4
 
1.9%
3 2
 
1.0%
8 1
 
0.5%
6 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 795
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 78
 
9.8%
. 71
 
8.9%
t 70
 
8.8%
h 60
 
7.5%
o 49
 
6.2%
e 46
 
5.8%
w 45
 
5.7%
n 41
 
5.2%
a 31
 
3.9%
p 28
 
3.5%
Other values (25) 276
34.7%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14093.586
Minimum10011
Maximum18634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T07:35:29.246779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10802
Q111385
median12607
Q317457.5
95-th percentile18543.5
Maximum18634
Range8623
Interquartile range (IQR)6072.5

Descriptive statistics

Standard deviation2978.2426
Coefficient of variation (CV)0.21131901
Kurtosis-1.6085599
Mean14093.586
Median Absolute Deviation (MAD)1601
Skewness0.34459299
Sum1564388
Variance8869928.9
MonotonicityNot monotonic
2023-12-11T07:35:29.355715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12438 1
 
0.9%
12452 1
 
0.9%
17994 1
 
0.9%
17901 1
 
0.9%
17946 1
 
0.9%
17965 1
 
0.9%
10858 1
 
0.9%
10801 1
 
0.9%
10924 1
 
0.9%
10803 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
10011 1
0.9%
10024 1
0.9%
10040 1
0.9%
10057 1
0.9%
10111 1
0.9%
10801 1
0.9%
10803 1
0.9%
10858 1
0.9%
10924 1
0.9%
10946 1
0.9%
ValueCountFrequency (%)
18634 1
0.9%
18596 1
0.9%
18583 1
0.9%
18563 1
0.9%
18555 1
0.9%
18550 1
0.9%
18537 1
0.9%
18527 1
0.9%
18287 1
0.9%
18284 1
0.9%

소재지도로명주소
Text

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T07:35:29.563589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length20.054054
Min length14

Characters and Unicode

Total characters2226
Distinct characters179
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

Unique111 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 조종면 조종내길 75
2nd row경기도 가평군 청평면 은고개로 21
3rd row경기도 가평군 북면 화악산로 23
4th row경기도 가평군 가평읍 가화로 155-18
5th row경기도 가평군 상면 청군로 1107-1
ValueCountFrequency (%)
경기도 111
 
20.3%
양평군 11
 
2.0%
포천시 11
 
2.0%
화성시 11
 
2.0%
평택시 10
 
1.8%
여주시 10
 
1.8%
용인시 7
 
1.3%
안성시 7
 
1.3%
처인구 6
 
1.1%
이천시 6
 
1.1%
Other values (307) 357
65.3%
2023-12-11T07:35:30.193960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
436
19.6%
도 115
 
5.2%
경 114
 
5.1%
기 114
 
5.1%
1 92
 
4.1%
시 91
 
4.1%
로 90
 
4.0%
면 77
 
3.5%
2 48
 
2.2%
3 41
 
1.8%
Other values (169) 1008
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1403
63.0%
Space Separator 436
 
19.6%
Decimal Number 364
 
16.4%
Dash Punctuation 22
 
1.0%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 115
 
8.2%
경 114
 
8.1%
기 114
 
8.1%
시 91
 
6.5%
로 90
 
6.4%
면 77
 
5.5%
길 38
 
2.7%
평 37
 
2.6%
양 33
 
2.4%
천 30
 
2.1%
Other values (156) 664
47.3%
Decimal Number
ValueCountFrequency (%)
1 92
25.3%
2 48
13.2%
3 41
11.3%
7 30
 
8.2%
5 30
 
8.2%
4 29
 
8.0%
6 29
 
8.0%
0 29
 
8.0%
9 20
 
5.5%
8 16
 
4.4%
Space Separator
ValueCountFrequency (%)
436
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1403
63.0%
Common 823
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 115
 
8.2%
경 114
 
8.1%
기 114
 
8.1%
시 91
 
6.5%
로 90
 
6.4%
면 77
 
5.5%
길 38
 
2.7%
평 37
 
2.6%
양 33
 
2.4%
천 30
 
2.1%
Other values (156) 664
47.3%
Common
ValueCountFrequency (%)
436
53.0%
1 92
 
11.2%
2 48
 
5.8%
3 41
 
5.0%
7 30
 
3.6%
5 30
 
3.6%
4 29
 
3.5%
6 29
 
3.5%
0 29
 
3.5%
- 22
 
2.7%
Other values (3) 37
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1403
63.0%
ASCII 823
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
436
53.0%
1 92
 
11.2%
2 48
 
5.8%
3 41
 
5.0%
7 30
 
3.6%
5 30
 
3.6%
4 29
 
3.5%
6 29
 
3.5%
0 29
 
3.5%
- 22
 
2.7%
Other values (3) 37
 
4.5%
Hangul
ValueCountFrequency (%)
도 115
 
8.2%
경 114
 
8.1%
기 114
 
8.1%
시 91
 
6.5%
로 90
 
6.4%
면 77
 
5.5%
길 38
 
2.7%
평 37
 
2.6%
양 33
 
2.4%
천 30
 
2.1%
Other values (156) 664
47.3%

소재지지번주소
Text

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T07:35:30.461304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length23.216216
Min length16

Characters and Unicode

Total characters2577
Distinct characters174
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

Unique111 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 조종면 현리 567-7번지
2nd row경기도 가평군 청평면 청평리 333-1번지
3rd row경기도 가평군 북면 목동리 883-13번지
4th row경기도 가평군 가평읍 읍내리 624-1번지
5th row경기도 가평군 상면 연하리 172-7번지
ValueCountFrequency (%)
경기도 111
 
19.8%
화성시 11
 
2.0%
양평군 11
 
2.0%
포천시 11
 
2.0%
여주시 10
 
1.8%
평택시 10
 
1.8%
용인시 7
 
1.2%
안성시 7
 
1.2%
가평군 6
 
1.1%
이천시 6
 
1.1%
Other values (338) 372
66.2%
2023-12-11T07:35:30.800389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
451
 
17.5%
지 120
 
4.7%
도 115
 
4.5%
기 113
 
4.4%
경 112
 
4.3%
번 104
 
4.0%
리 93
 
3.6%
1 88
 
3.4%
시 88
 
3.4%
- 84
 
3.3%
Other values (164) 1209
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1610
62.5%
Space Separator 451
 
17.5%
Decimal Number 425
 
16.5%
Dash Punctuation 84
 
3.3%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 120
 
7.5%
도 115
 
7.1%
기 113
 
7.0%
경 112
 
7.0%
번 104
 
6.5%
리 93
 
5.8%
시 88
 
5.5%
면 83
 
5.2%
평 36
 
2.2%
양 36
 
2.2%
Other values (149) 710
44.1%
Decimal Number
ValueCountFrequency (%)
1 88
20.7%
3 53
12.5%
2 49
11.5%
7 43
10.1%
4 41
9.6%
5 37
8.7%
6 35
 
8.2%
8 32
 
7.5%
9 25
 
5.9%
0 22
 
5.2%
Space Separator
ValueCountFrequency (%)
451
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1610
62.5%
Common 967
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 120
 
7.5%
도 115
 
7.1%
기 113
 
7.0%
경 112
 
7.0%
번 104
 
6.5%
리 93
 
5.8%
시 88
 
5.5%
면 83
 
5.2%
평 36
 
2.2%
양 36
 
2.2%
Other values (149) 710
44.1%
Common
ValueCountFrequency (%)
451
46.6%
1 88
 
9.1%
- 84
 
8.7%
3 53
 
5.5%
2 49
 
5.1%
7 43
 
4.4%
4 41
 
4.2%
5 37
 
3.8%
6 35
 
3.6%
8 32
 
3.3%
Other values (5) 54
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1610
62.5%
ASCII 967
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
451
46.6%
1 88
 
9.1%
- 84
 
8.7%
3 53
 
5.5%
2 49
 
5.1%
7 43
 
4.4%
4 41
 
4.2%
5 37
 
3.8%
6 35
 
3.6%
8 32
 
3.3%
Other values (5) 54
 
5.6%
Hangul
ValueCountFrequency (%)
지 120
 
7.5%
도 115
 
7.1%
기 113
 
7.0%
경 112
 
7.0%
번 104
 
6.5%
리 93
 
5.8%
시 88
 
5.5%
면 83
 
5.2%
평 36
 
2.2%
양 36
 
2.2%
Other values (149) 710
44.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.468567
Minimum36.943326
Maximum38.184013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T07:35:30.931342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.943326
5-th percentile36.988215
Q137.186423
median37.401622
Q337.770566
95-th percentile38.032022
Maximum38.184013
Range1.2406869
Interquartile range (IQR)0.58414233

Descriptive statistics

Standard deviation0.34494195
Coefficient of variation (CV)0.0092061686
Kurtosis-1.1275002
Mean37.468567
Median Absolute Deviation (MAD)0.29538142
Skewness0.30005463
Sum4159.011
Variance0.11898495
MonotonicityNot monotonic
2023-12-11T07:35:31.070251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.81772973 1
 
0.9%
37.74024182 1
 
0.9%
36.95777229 1
 
0.9%
36.99071525 1
 
0.9%
36.967085 1
 
0.9%
36.9826602 1
 
0.9%
37.80230634 1
 
0.9%
37.92206712 1
 
0.9%
37.75620494 1
 
0.9%
37.954522 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
36.943326 1
0.9%
36.95777229 1
0.9%
36.967085 1
0.9%
36.97686023 1
0.9%
36.9826602 1
0.9%
36.98571573 1
0.9%
36.99071525 1
0.9%
36.99705355 1
0.9%
37.00010628 1
0.9%
37.0076581 1
0.9%
ValueCountFrequency (%)
38.18401293 1
0.9%
38.15771606 1
0.9%
38.08889686 1
0.9%
38.08499518 1
0.9%
38.05833806 1
0.9%
38.03228216 1
0.9%
38.03176132 1
0.9%
38.03108832 1
0.9%
38.02323386 1
0.9%
38.00540406 1
0.9%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.18679
Minimum126.55284
Maximum127.75134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T07:35:31.186056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55284
5-th percentile126.71245
Q1126.93769
median127.21566
Q3127.41747
95-th percentile127.651
Maximum127.75134
Range1.1984995
Interquartile range (IQR)0.47977705

Descriptive statistics

Standard deviation0.29638435
Coefficient of variation (CV)0.0023303076
Kurtosis-0.79278004
Mean127.18679
Median Absolute Deviation (MAD)0.2353754
Skewness-0.16322079
Sum14117.734
Variance0.08784368
MonotonicityNot monotonic
2023-12-11T07:35:31.318924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3532591 1
 
0.9%
127.4240846 1
 
0.9%
127.060211 1
 
0.9%
127.1117855 1
 
0.9%
126.921121 1
 
0.9%
126.8851056 1
 
0.9%
126.7160957 1
 
0.9%
126.8378921 1
 
0.9%
126.773761 1
 
0.9%
126.918206 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
126.5528448 1
0.9%
126.5820127 1
0.9%
126.5850457 1
0.9%
126.6254516 1
0.9%
126.6313023 1
0.9%
126.708812 1
0.9%
126.7160957 1
0.9%
126.7227198 1
0.9%
126.7322322 1
0.9%
126.7702564 1
0.9%
ValueCountFrequency (%)
127.7513443 1
0.9%
127.7124352 1
0.9%
127.7107606 1
0.9%
127.6780475 1
0.9%
127.6733498 1
0.9%
127.6623834 1
0.9%
127.6396083 1
0.9%
127.6384044 1
0.9%
127.5961957 1
0.9%
127.5871711 1
0.9%

공중보건의 수(의과)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1020.0 B
1
76 
<NA>
26 
0
 
6
2
 
2
9
 
1

Length

Max length4
Median length1
Mean length1.7027027
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
1 76
68.5%
<NA> 26
 
23.4%
0 6
 
5.4%
2 2
 
1.8%
9 1
 
0.9%

Length

2023-12-11T07:35:31.424454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:35:31.526456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 76
68.5%
na 26
 
23.4%
0 6
 
5.4%
2 2
 
1.8%
9 1
 
0.9%

공중보건의 수(한의과)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1020.0 B
1
56 
<NA>
43 
2
8 
0
 
3
3
 
1

Length

Max length4
Median length1
Mean length2.1621622
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 56
50.5%
<NA> 43
38.7%
2 8
 
7.2%
0 3
 
2.7%
3 1
 
0.9%

Length

2023-12-11T07:35:31.644240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:35:31.746904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 56
50.5%
na 43
38.7%
2 8
 
7.2%
0 3
 
2.7%
3 1
 
0.9%

공중보건의 수(치과)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
80 
1
20 
2
 
7
3
 
3
0
 
1

Length

Max length4
Median length4
Mean length3.1621622
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 80
72.1%
1 20
 
18.0%
2 7
 
6.3%
3 3
 
2.7%
0 1
 
0.9%

Length

2023-12-11T07:35:31.849176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:35:31.934706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
72.1%
1 20
 
18.0%
2 7
 
6.3%
3 3
 
2.7%
0 1
 
0.9%

Interactions

2023-12-11T07:35:26.742159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:35:26.290879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:35:26.511595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:35:26.807532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:35:26.357384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:35:26.584686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:35:26.885350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:35:26.439531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:35:26.656894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:35:31.992561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명홈페이지주소소재지우편번호WGS84위도WGS84경도공중보건의 수(의과)공중보건의 수(한의과)공중보건의 수(치과)
시군명1.0001.0000.9740.8600.8640.0000.0000.000
홈페이지주소1.0001.0000.6090.9700.9661.0001.0001.000
소재지우편번호0.9740.6091.0000.7480.6950.2490.4030.305
WGS84위도0.8600.9700.7481.0000.5140.0000.0000.000
WGS84경도0.8640.9660.6950.5141.0000.0000.2160.440
공중보건의 수(의과)0.0001.0000.2490.0000.0001.0000.5590.922
공중보건의 수(한의과)0.0001.0000.4030.0000.2160.5591.0000.958
공중보건의 수(치과)0.0001.0000.3050.0000.4400.9220.9581.000
2023-12-11T07:35:32.080182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공중보건의 수(의과)공중보건의 수(한의과)시군명공중보건의 수(치과)
공중보건의 수(의과)1.0000.5590.0000.623
공중보건의 수(한의과)0.5591.0000.0000.723
시군명0.0000.0001.0000.000
공중보건의 수(치과)0.6230.7230.0001.000
2023-12-11T07:35:32.152541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명공중보건의 수(의과)공중보건의 수(한의과)공중보건의 수(치과)
소재지우편번호1.000-0.912-0.0070.8440.1620.1790.184
WGS84위도-0.9121.0000.0180.5430.0000.0000.000
WGS84경도-0.0070.0181.0000.5490.0000.1160.224
시군명0.8440.5430.5491.0000.0000.0000.000
공중보건의 수(의과)0.1620.0000.0000.0001.0000.5590.623
공중보건의 수(한의과)0.1790.0000.1160.0000.5591.0000.723
공중보건의 수(치과)0.1840.0000.2240.0000.6230.7231.000

Missing values

2023-12-11T07:35:27.015202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:35:27.170250image/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.
2023-12-11T07:35:27.289455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

집계일자시군명보건소명보건소전화번호홈페이지주소소재지우편번호소재지도로명주소소재지지번주소WGS84위도WGS84경도공중보건의 수(의과)공중보건의 수(한의과)공중보건의 수(치과)
02023-05-30가평군조종면보건지소031-585-0671<NA>12438경기도 가평군 조종면 조종내길 75경기도 가평군 조종면 현리 567-7번지37.81773127.35325911<NA>
12023-05-30가평군청평보건지소031-584-1007<NA>12452경기도 가평군 청평면 은고개로 21경기도 가평군 청평면 청평리 333-1번지37.740242127.42408511<NA>
22023-05-30가평군북면보건지소031-582-0558<NA>12403경기도 가평군 북면 화악산로 23경기도 가평군 북면 목동리 883-13번지37.887315127.55023811<NA>
32023-05-30가평군가평군보건소031-582-2488http://www.gp.go.kr/health/index.do12413경기도 가평군 가평읍 가화로 155-18경기도 가평군 가평읍 읍내리 624-1번지37.833374127.510581211
42023-05-30가평군상면보건지소031-585-2046<NA>12444경기도 가평군 상면 청군로 1107-1경기도 가평군 상면 연하리 172-7번지37.804648127.356229<NA>11
52023-05-30가평군설악보건지소031-584-7078<NA>12467경기도 가평군 설악면 한서로 6경기도 가평군 설악면 신천리 156-1번지37.675893127.494555<NA>1<NA>
62023-05-30광주시초월보건지소031-760-8707<NA>12736경기도 광주시 초월읍 경충대로 1009-40경기도 광주시 초월읍 쌍동리 163-7번지37.368814127.302753<NA>1<NA>
72023-05-30광주시도척보건지소031-760-2560<NA>12815경기도 광주시 도척면 노곡로 20경기도 광주시 도척면 노곡리 58-14번지37.304406127.33119211<NA>
82023-05-30광주시광주시보건소031-760-2110https://www.gjcity.go.kr/depart/contents.do?mId=080100000012739경기도 광주시 파발로 194경기도 광주시 경안동 115번지37.416364127.25028<NA><NA>2
92023-05-30광주시퇴촌남종통합보건지소031-760-8713<NA>12711경기도 광주시 퇴촌면 산수로 1347경기도 광주시 퇴촌면 오리 73-1번지37.474359127.30577511<NA>
집계일자시군명보건소명보건소전화번호홈페이지주소소재지우편번호소재지도로명주소소재지지번주소WGS84위도WGS84경도공중보건의 수(의과)공중보건의 수(한의과)공중보건의 수(치과)
1012023-05-30화성시마도보건지소031-369-2886<NA>18537경기도 화성시 마도면 마도북로 389경기도 화성시 마도면 석교리 243-2번지37.204907126.7702561<NA>1
1022023-05-30화성시우정보건지소031-369-2891<NA>18563경기도 화성시 우정읍 쌍봉로 109-12경기도 화성시 우정읍 조암리 411-1번지 우정읍사무소37.089536126.8154421<NA><NA>
1032023-05-30화성시서신보건지소031-369-2888<NA>18555경기도 화성시 서신면 궁평항로 1702경기도 화성시 서신면 매화리 277번지37.166134126.7088120<NA><NA>
1042023-05-30화성시매송보건지소031-369-2883<NA>18287경기도 화성시 매송면 매송로 43경기도 화성시 매송면 어천리 375-2번지37.252349126.9100151<NA><NA>
1052023-05-30화성시화성시보건소031-369-2551http://www.hscity.go.kr/health/index.do18596경기도 화성시 향남읍 3.1만세로 1055경기도 화성시 향남읍 발안리 309번지37.129172126.904662<NA><NA>1
1062023-05-30화성시팔탄보건지소031-369-2889<NA>18527경기도 화성시 팔탄면 구장길 14경기도 화성시 팔탄면 구장리 563번지37.161836126.904744<NA>1<NA>
1072023-05-30화성시장안보건지소031-369-2890<NA>18583경기도 화성시 장안면 포승장안로 1219경기도 화성시 장안면 독정리 933-1번지37.067425126.8472731<NA><NA>
1082023-05-30화성시양감보건지소031-369-2587<NA>18634경기도 화성시 양감면 은행나무로 265경기도 화성시 양감면 신왕리 678-1번지37.081731126.94476110<NA>
1092023-05-30화성시비봉보건지소031-369-2874<NA>18284경기도 화성시 비봉면 비봉로71번길 1경기도 화성시 비봉면 양노리 253-3번지37.235763126.8732630<NA><NA>
1102023-05-30화성시송산보건지소031-369-2887<NA>18550경기도 화성시 송산면 사강시장길 26경기도 화성시 송산면 사강리 711-2번지37.212962126.7322321<NA><NA>