Overview

Dataset statistics

Number of variables7
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory61.0 B

Variable types

Categorical2
Text3
Numeric2

Dataset

Description경남 창원시 관내 등록된 정신건강 의료기관 현황입니다. 항목은 지역, 의료기관명, 종별, 주소, 전화번호, 위도, 경도가 있습니다.
Author경상남도 창원시
URLhttps://www.data.go.kr/data/15104296/fileData.do

Alerts

위도 is highly overall correlated with 지역High correlation
경도 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
의료기관명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:22:16.539222
Analysis finished2023-12-12 23:22:17.368013
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
성산구
14 
마산합포구
9 
진해구
9 
마산회원구
8 
의창구
4 

Length

Max length5
Median length3
Mean length3.7727273
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row마산합포구
2nd row마산회원구
3rd row마산회원구
4th row마산회원구
5th row마산회원구

Common Values

ValueCountFrequency (%)
성산구 14
31.8%
마산합포구 9
20.5%
진해구 9
20.5%
마산회원구 8
18.2%
의창구 4
 
9.1%

Length

2023-12-13T08:22:17.438023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:22:17.567632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성산구 14
31.8%
마산합포구 9
20.5%
진해구 9
20.5%
마산회원구 8
18.2%
의창구 4
 
9.1%

의료기관명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-13T08:22:17.764902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13.5
Mean length10.704545
Min length4

Characters and Unicode

Total characters471
Distinct characters108
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

Unique44 ?
Unique (%)100.0%

Sample

1st row마산정신건강복지센터
2nd row삼성창원병원
3rd row동서병원
4th row이상돈신경정신과
5th row삼성공감정신건강의학과의원
ValueCountFrequency (%)
마산정신건강복지센터 1
 
2.2%
마음과마음정신건강의학과의원 1
 
2.2%
열린마음정신건강의학과의원 1
 
2.2%
상남아이재활의학과정신건강의학과의원 1
 
2.2%
마음가는정신건강의학과의원 1
 
2.2%
창원아이정신건강의학과의원 1
 
2.2%
마음편한정신건강의학과의원 1
 
2.2%
창원정신건강의학과의원 1
 
2.2%
닥터진정신건강의학과의원/엑셀 1
 
2.2%
없음 1
 
2.2%
Other values (36) 36
78.3%
2023-12-13T08:22:18.107983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 49
 
10.4%
원 49
 
10.4%
신 33
 
7.0%
정 32
 
6.8%
과 28
 
5.9%
건 25
 
5.3%
강 25
 
5.3%
학 24
 
5.1%
병 16
 
3.4%
이 9
 
1.9%
Other values (98) 181
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 468
99.4%
Space Separator 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 49
 
10.5%
원 49
 
10.5%
신 33
 
7.1%
정 32
 
6.8%
과 28
 
6.0%
건 25
 
5.3%
강 25
 
5.3%
학 24
 
5.1%
병 16
 
3.4%
이 9
 
1.9%
Other values (96) 178
38.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 468
99.4%
Common 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 49
 
10.5%
원 49
 
10.5%
신 33
 
7.1%
정 32
 
6.8%
과 28
 
6.0%
건 25
 
5.3%
강 25
 
5.3%
학 24
 
5.1%
병 16
 
3.4%
이 9
 
1.9%
Other values (96) 178
38.0%
Common
ValueCountFrequency (%)
2
66.7%
/ 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 468
99.4%
ASCII 3
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 49
 
10.5%
원 49
 
10.5%
신 33
 
7.1%
정 32
 
6.8%
과 28
 
6.0%
건 25
 
5.3%
강 25
 
5.3%
학 24
 
5.1%
병 16
 
3.4%
이 9
 
1.9%
Other values (96) 178
38.0%
ASCII
ValueCountFrequency (%)
2
66.7%
/ 1
33.3%

종별
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
의원
26 
종합병원
6 
요양병원
5 
정신병원
4 
공공기관
3 

Length

Max length4
Median length2
Mean length2.8181818
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공기관
2nd row종합병원
3rd row정신병원
4th row의원
5th row의원

Common Values

ValueCountFrequency (%)
의원 26
59.1%
종합병원 6
 
13.6%
요양병원 5
 
11.4%
정신병원 4
 
9.1%
공공기관 3
 
6.8%

Length

2023-12-13T08:22:18.239250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:22:18.345992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 26
59.1%
종합병원 6
 
13.6%
요양병원 5
 
11.4%
정신병원 4
 
9.1%
공공기관 3
 
6.8%

주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-13T08:22:18.596847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40.5
Mean length32.659091
Min length21

Characters and Unicode

Total characters1437
Distinct characters117
Distinct categories8 ?
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 row경남 창원시 마산합포구 월영동북로 15
2nd row경상남도 창원시 마산회원구 팔용로 158 (합성동)
3rd row경상남도 창원시 마산회원구 내서읍 호원로 265
4th row경상남도 창원시 마산회원구 3.15대로 744, 702호(합성동, 송하빌딩)
5th row경상남도 창원시 마산회원구 3.15대로 775, 합성메디칼빌딩 3층 (합성동)
ValueCountFrequency (%)
창원시 44
 
14.9%
경상남도 43
 
14.6%
성산구 14
 
4.7%
마산합포구 9
 
3.1%
진해구 9
 
3.1%
마산회원구 8
 
2.7%
상남동 7
 
2.4%
3.15대로 7
 
2.4%
합성동 6
 
2.0%
원이대로 5
 
1.7%
Other values (121) 143
48.5%
2023-12-13T08:22:18.967869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
 
17.5%
원 68
 
4.7%
남 56
 
3.9%
상 56
 
3.9%
창 51
 
3.5%
경 45
 
3.1%
동 45
 
3.1%
구 45
 
3.1%
1 45
 
3.1%
시 44
 
3.1%
Other values (107) 731
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 871
60.6%
Space Separator 251
 
17.5%
Decimal Number 199
 
13.8%
Close Punctuation 39
 
2.7%
Open Punctuation 39
 
2.7%
Other Punctuation 34
 
2.4%
Dash Punctuation 3
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 68
 
7.8%
남 56
 
6.4%
상 56
 
6.4%
창 51
 
5.9%
경 45
 
5.2%
동 45
 
5.2%
구 45
 
5.2%
시 44
 
5.1%
도 43
 
4.9%
로 42
 
4.8%
Other values (89) 376
43.2%
Decimal Number
ValueCountFrequency (%)
1 45
22.6%
5 30
15.1%
3 26
13.1%
2 23
11.6%
7 20
10.1%
0 16
 
8.0%
6 15
 
7.5%
4 12
 
6.0%
8 8
 
4.0%
9 4
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 25
73.5%
. 8
 
23.5%
· 1
 
2.9%
Space Separator
ValueCountFrequency (%)
251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 871
60.6%
Common 565
39.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 68
 
7.8%
남 56
 
6.4%
상 56
 
6.4%
창 51
 
5.9%
경 45
 
5.2%
동 45
 
5.2%
구 45
 
5.2%
시 44
 
5.1%
도 43
 
4.9%
로 42
 
4.8%
Other values (89) 376
43.2%
Common
ValueCountFrequency (%)
251
44.4%
1 45
 
8.0%
) 39
 
6.9%
( 39
 
6.9%
5 30
 
5.3%
3 26
 
4.6%
, 25
 
4.4%
2 23
 
4.1%
7 20
 
3.5%
0 16
 
2.8%
Other values (7) 51
 
9.0%
Latin
ValueCountFrequency (%)
X 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 871
60.6%
ASCII 565
39.3%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
44.4%
1 45
 
8.0%
) 39
 
6.9%
( 39
 
6.9%
5 30
 
5.3%
3 26
 
4.6%
, 25
 
4.4%
2 23
 
4.1%
7 20
 
3.5%
0 16
 
2.8%
Other values (7) 51
 
9.0%
Hangul
ValueCountFrequency (%)
원 68
 
7.8%
남 56
 
6.4%
상 56
 
6.4%
창 51
 
5.9%
경 45
 
5.2%
동 45
 
5.2%
구 45
 
5.2%
시 44
 
5.1%
도 43
 
4.9%
로 42
 
4.8%
Other values (89) 376
43.2%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-13T08:22:19.167613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters528
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

Unique44 ?
Unique (%)100.0%

Sample

1st row055-225-6031
2nd row055-233-8899
3rd row055-230-1800
4th row055-252-9559
5th row055-292-1275
ValueCountFrequency (%)
055-225-6031 1
 
2.3%
055-233-8899 1
 
2.3%
055-282-7171 1
 
2.3%
055-715-3100 1
 
2.3%
055-282-1575 1
 
2.3%
055-264-2004 1
 
2.3%
055-719-2468 1
 
2.3%
055-289-6609 1
 
2.3%
055-274-0088 1
 
2.3%
055-275-7595 1
 
2.3%
Other values (34) 34
77.3%
2023-12-13T08:22:19.451114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 137
25.9%
0 91
17.2%
- 88
16.7%
2 61
11.6%
7 32
 
6.1%
1 24
 
4.5%
4 23
 
4.4%
8 22
 
4.2%
3 20
 
3.8%
9 16
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
83.3%
Dash Punctuation 88
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 137
31.1%
0 91
20.7%
2 61
13.9%
7 32
 
7.3%
1 24
 
5.5%
4 23
 
5.2%
8 22
 
5.0%
3 20
 
4.5%
9 16
 
3.6%
6 14
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 137
25.9%
0 91
17.2%
- 88
16.7%
2 61
11.6%
7 32
 
6.1%
1 24
 
4.5%
4 23
 
4.4%
8 22
 
4.2%
3 20
 
3.8%
9 16
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 137
25.9%
0 91
17.2%
- 88
16.7%
2 61
11.6%
7 32
 
6.1%
1 24
 
4.5%
4 23
 
4.4%
8 22
 
4.2%
3 20
 
3.8%
9 16
 
3.0%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.20375
Minimum35.100054
Maximum35.265259
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-13T08:22:19.670731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.100054
5-th percentile35.129519
Q135.180295
median35.221732
Q335.237652
95-th percentile35.242885
Maximum35.265259
Range0.165205
Interquartile range (IQR)0.05735675

Descriptive statistics

Standard deviation0.041183932
Coefficient of variation (CV)0.0011698734
Kurtosis-0.26661478
Mean35.20375
Median Absolute Deviation (MAD)0.019749
Skewness-0.85000301
Sum1548.965
Variance0.0016961162
MonotonicityNot monotonic
2023-12-13T08:22:19.792478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
35.182357 1
 
2.3%
35.218391 1
 
2.3%
35.220611 1
 
2.3%
35.227357 1
 
2.3%
35.219336 1
 
2.3%
35.22852 1
 
2.3%
35.224752 1
 
2.3%
35.222852 1
 
2.3%
35.228078 1
 
2.3%
35.224563 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
35.100054 1
2.3%
35.116695 1
2.3%
35.129032 1
2.3%
35.132276 1
2.3%
35.150203 1
2.3%
35.151787 1
2.3%
35.151963 1
2.3%
35.151993 1
2.3%
35.15254 1
2.3%
35.152916 1
2.3%
ValueCountFrequency (%)
35.265259 1
2.3%
35.256804 1
2.3%
35.242968 1
2.3%
35.242418 1
2.3%
35.241812 1
2.3%
35.240965 1
2.3%
35.240717 1
2.3%
35.240288 1
2.3%
35.240141 1
2.3%
35.238271 1
2.3%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.63962
Minimum128.4478
Maximum128.8134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-13T08:22:19.907590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.4478
5-th percentile128.55852
Q1128.5833
median128.66792
Q3128.68339
95-th percentile128.71013
Maximum128.8134
Range0.365601
Interquartile range (IQR)0.100086

Descriptive statistics

Standard deviation0.070831681
Coefficient of variation (CV)0.00055062102
Kurtosis0.50481757
Mean128.63962
Median Absolute Deviation (MAD)0.0366405
Skewness-0.12475431
Sum5660.1435
Variance0.0050171271
MonotonicityNot monotonic
2023-12-13T08:22:20.053376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
128.563015 1
 
2.3%
128.671042 1
 
2.3%
128.679914 1
 
2.3%
128.679458 1
 
2.3%
128.691631 1
 
2.3%
128.678207 1
 
2.3%
128.684227 1
 
2.3%
128.682626 1
 
2.3%
128.679992 1
 
2.3%
128.684659 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
128.447795 1
2.3%
128.521112 1
2.3%
128.558148 1
2.3%
128.560646 1
2.3%
128.561621 1
2.3%
128.562034 1
2.3%
128.563015 1
2.3%
128.567163 1
2.3%
128.572101 1
2.3%
128.579262 1
2.3%
ValueCountFrequency (%)
128.813396 1
2.3%
128.796652 1
2.3%
128.710502 1
2.3%
128.707996 1
2.3%
128.701126 1
2.3%
128.699304 1
2.3%
128.691631 1
2.3%
128.68554 1
2.3%
128.684659 1
2.3%
128.684227 1
2.3%

Interactions

2023-12-13T08:22:17.023645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:16.841435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:17.100184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:16.925031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:22:20.155601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역의료기관명종별주소전화번호위도경도
지역1.0001.0000.6921.0001.0000.8950.737
의료기관명1.0001.0001.0001.0001.0001.0001.000
종별0.6921.0001.0001.0001.0000.6410.440
주소1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
위도0.8951.0000.6411.0001.0001.0000.804
경도0.7371.0000.4401.0001.0000.8041.000
2023-12-13T08:22:20.278927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역종별
지역1.0000.321
종별0.3211.000
2023-12-13T08:22:20.350640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도지역종별
위도1.000-0.1660.7420.412
경도-0.1661.0000.5690.321
지역0.7420.5691.0000.321
종별0.4120.3210.3211.000

Missing values

2023-12-13T08:22:17.217664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:22:17.331559image/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

지역의료기관명종별주소전화번호위도경도
0마산합포구마산정신건강복지센터공공기관경남 창원시 마산합포구 월영동북로 15055-225-603135.182357128.563015
1마산회원구삼성창원병원종합병원경상남도 창원시 마산회원구 팔용로 158 (합성동)055-233-889935.242968128.592007
2마산회원구동서병원정신병원경상남도 창원시 마산회원구 내서읍 호원로 265055-230-180035.256804128.521112
3마산회원구이상돈신경정신과의원경상남도 창원시 마산회원구 3.15대로 744, 702호(합성동, 송하빌딩)055-252-955935.238271128.582911
4마산회원구삼성공감정신건강의학과의원의원경상남도 창원시 마산회원구 3.15대로 775, 합성메디칼빌딩 3층 (합성동)055-292-127535.240965128.584095
5마산회원구정청정신건강의학과의원의원경상남도 창원시 마산회원구 3.15대로 773 (합성동)055-255-750435.240717128.584045
6마산회원구정환증정신건강의학과의원의원경상남도 창원시 마산회원구 3.15대로 765-1, 2층 (합성동)055-297-916435.240141128.583431
7마산회원구삼성정신건강의학과의원의원경상남도 창원시 마산회원구 3.15대로 800, 5층 (합성동)055-255-158635.242418128.586021
8마산회원구이문신경정신과의원의원경상남도 창원시 마산회원구 3.15대로 772 (합성동)055-293-122235.240288128.584421
9마산합포구에스엠지연세병원종합병원경상남도 창원시 마산합포구 3·15대로76 (월남동2가)055-243-010035.186355128.561621
지역의료기관명종별주소전화번호위도경도
34성산구성가정신건강의학과의원의원경상남도 창원시 성산구 원이대로 587 (용호동, 정우상가)055-275-355735.228385128.679504
35진해구진해정신건강복지센터공공기관경상남도 창원시 진해구 중원동로 62(서부보건지소 3층)055-225-639135.150203128.662005
36진해구동양의료재단연세사랑병원정신병원경상남도 창원시 진해구 행암로 76 (장천동)055-540-770035.129032128.701126
37진해구이끌림정신건강의학과의원의원경상남도 창원시 진해구 진해대로1114번길 15, 가동 3층 (장천동)055-715-357735.151963128.710502
38진해구최병훈정신건강의학과의원의원경상남도 창원시 진해구 충장로 133 진해메디칼센터055-551-227535.15254128.667009
39진해구메트로요양병원요양병원경상남도 창원시 진해구 용원로 37 (용원동, 블루마운틴)055-552-001335.100054128.813396
40진해구진해수요양병원요양병원경상남도 창원시 진해구 충장로 172 (충무동, 진해수요양병원)055-815-757535.151993128.670896
41진해구참좋은요양병원요양병원경상남도 창원시 진해구 충장로 154 (충무동)055-541-450035.151787128.668832
42진해구늘푸른요양병원요양병원경상남도 창원시 진해구 충장로 181 (여좌동)055-543-750035.152916128.671951
43진해구용원휴요양병원요양병원경상남도 창원시 진해구 남의로 150 (두동)055-547-310035.116695128.796652