Overview

Dataset statistics

Number of variables5
Number of observations210
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory41.6 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description경상북도 내 정신의료기관, 정신건강복지센터, 요양병원의 기관명, 주소, 전화번호에 대한 데이터를 제공합니다.
Author경상북도
URLhttps://www.data.go.kr/data/15103105/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
기관명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:39:51.133737
Analysis finished2023-12-12 11:39:52.164248
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct210
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.5
Minimum1
Maximum210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T20:39:52.323231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.45
Q153.25
median105.5
Q3157.75
95-th percentile199.55
Maximum210
Range209
Interquartile range (IQR)104.5

Descriptive statistics

Standard deviation60.765944
Coefficient of variation (CV)0.57598052
Kurtosis-1.2
Mean105.5
Median Absolute Deviation (MAD)52.5
Skewness0
Sum22155
Variance3692.5
MonotonicityStrictly increasing
2023-12-12T20:39:52.577197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
159 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
Other values (200) 200
95.2%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
210 1
0.5%
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%
202 1
0.5%
201 1
0.5%

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
요양병원
108 
정신의료기관
70 
정신건강복지센터
27 
정신요양시설
 
5

Length

Max length8
Median length4
Mean length5.2285714
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
요양병원 108
51.4%
정신의료기관 70
33.3%
정신건강복지센터 27
 
12.9%
정신요양시설 5
 
2.4%

Length

2023-12-12T20:39:52.848900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:39:53.097033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양병원 108
51.4%
정신의료기관 70
33.3%
정신건강복지센터 27
 
12.9%
정신요양시설 5
 
2.4%

기관명
Text

UNIQUE 

Distinct210
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T20:39:53.444530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length11.019048
Min length4

Characters and Unicode

Total characters2314
Distinct characters220
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

Unique210 ?
Unique (%)100.0%

Sample

1st row가야이요양병원
2nd row감꽃요양병원
3rd row경상북도립경산노인전문요양병원
4th row경상북도립김천노인전문요양병원
5th row경상북도립안동노인전문요양병원
ValueCountFrequency (%)
의료법인 18
 
6.2%
청하요양병원 2
 
0.7%
의료법인인덕의료재단 2
 
0.7%
정신건강의학과의원 2
 
0.7%
현보의료재단 2
 
0.7%
경희요양병원 2
 
0.7%
늘푸른요양병원 2
 
0.7%
영주시정신건강복지센터 1
 
0.3%
영천시정신건강복지센터 1
 
0.3%
구미시선산정신건강복지센터 1
 
0.3%
Other values (256) 256
88.6%
2023-12-12T20:39:54.085846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
 
7.8%
160
 
6.9%
145
 
6.3%
116
 
5.0%
112
 
4.8%
111
 
4.8%
80
 
3.5%
71
 
3.1%
67
 
2.9%
63
 
2.7%
Other values (210) 1209
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2227
96.2%
Space Separator 80
 
3.5%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
180
 
8.1%
160
 
7.2%
145
 
6.5%
116
 
5.2%
112
 
5.0%
111
 
5.0%
71
 
3.2%
67
 
3.0%
63
 
2.8%
56
 
2.5%
Other values (204) 1146
51.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2227
96.2%
Common 85
 
3.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
180
 
8.1%
160
 
7.2%
145
 
6.5%
116
 
5.2%
112
 
5.0%
111
 
5.0%
71
 
3.2%
67
 
3.0%
63
 
2.8%
56
 
2.5%
Other values (204) 1146
51.5%
Common
ValueCountFrequency (%)
80
94.1%
( 2
 
2.4%
) 2
 
2.4%
1 1
 
1.2%
Latin
ValueCountFrequency (%)
B 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2227
96.2%
ASCII 87
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
180
 
8.1%
160
 
7.2%
145
 
6.5%
116
 
5.2%
112
 
5.0%
111
 
5.0%
71
 
3.2%
67
 
3.0%
63
 
2.8%
56
 
2.5%
Other values (204) 1146
51.5%
ASCII
ValueCountFrequency (%)
80
92.0%
( 2
 
2.3%
) 2
 
2.3%
1 1
 
1.1%
B 1
 
1.1%
S 1
 
1.1%

주소
Text

UNIQUE 

Distinct210
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T20:39:54.627151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length30
Mean length21.028571
Min length9

Characters and Unicode

Total characters4416
Distinct characters207
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

Unique210 ?
Unique (%)100.0%

Sample

1st row경상북도 성주군 성주읍 주산로 183 (성주읍)
2nd row경상북도 청도군 각북면 헐티로 1229 ()
3rd row경상북도 경산시 경안로 23-10 (상방동)
4th row경상북도 김천시 어모면 신애길 100-10 ()
5th row경상북도 안동시 남후면 남일로 1463 ()
ValueCountFrequency (%)
경상북도 110
 
10.8%
포항시 44
 
4.3%
42
 
4.1%
북구 33
 
3.2%
구미시 21
 
2.1%
경주시 21
 
2.1%
경산시 18
 
1.8%
안동시 14
 
1.4%
남구 11
 
1.1%
중앙로 11
 
1.1%
Other values (479) 691
68.0%
2023-12-12T20:39:55.558257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
851
 
19.3%
173
 
3.9%
169
 
3.8%
157
 
3.6%
1 157
 
3.6%
152
 
3.4%
135
 
3.1%
126
 
2.9%
( 103
 
2.3%
) 103
 
2.3%
Other values (197) 2290
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2566
58.1%
Space Separator 851
 
19.3%
Decimal Number 719
 
16.3%
Open Punctuation 103
 
2.3%
Close Punctuation 103
 
2.3%
Dash Punctuation 57
 
1.3%
Other Punctuation 17
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
173
 
6.7%
169
 
6.6%
157
 
6.1%
152
 
5.9%
135
 
5.3%
126
 
4.9%
95
 
3.7%
79
 
3.1%
75
 
2.9%
63
 
2.5%
Other values (182) 1342
52.3%
Decimal Number
ValueCountFrequency (%)
1 157
21.8%
2 101
14.0%
3 82
11.4%
5 63
8.8%
8 57
 
7.9%
0 56
 
7.8%
9 54
 
7.5%
4 52
 
7.2%
7 51
 
7.1%
6 46
 
6.4%
Space Separator
ValueCountFrequency (%)
851
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2566
58.1%
Common 1850
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
173
 
6.7%
169
 
6.6%
157
 
6.1%
152
 
5.9%
135
 
5.3%
126
 
4.9%
95
 
3.7%
79
 
3.1%
75
 
2.9%
63
 
2.5%
Other values (182) 1342
52.3%
Common
ValueCountFrequency (%)
851
46.0%
1 157
 
8.5%
( 103
 
5.6%
) 103
 
5.6%
2 101
 
5.5%
3 82
 
4.4%
5 63
 
3.4%
8 57
 
3.1%
- 57
 
3.1%
0 56
 
3.0%
Other values (5) 220
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2566
58.1%
ASCII 1850
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
851
46.0%
1 157
 
8.5%
( 103
 
5.6%
) 103
 
5.6%
2 101
 
5.5%
3 82
 
4.4%
5 63
 
3.4%
8 57
 
3.1%
- 57
 
3.1%
0 56
 
3.0%
Other values (5) 220
 
11.9%
Hangul
ValueCountFrequency (%)
173
 
6.7%
169
 
6.6%
157
 
6.1%
152
 
5.9%
135
 
5.3%
126
 
4.9%
95
 
3.7%
79
 
3.1%
75
 
2.9%
63
 
2.5%
Other values (182) 1342
52.3%
Distinct207
Distinct (%)99.0%
Missing1
Missing (%)0.5%
Memory size1.8 KiB
2023-12-12T20:39:55.971669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.023923
Min length12

Characters and Unicode

Total characters2513
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

Unique205 ?
Unique (%)98.1%

Sample

1st row054-933-7001
2nd row054-371-7770
3rd row053-819-0700
4th row054-420-7200
5th row054-851-6000
ValueCountFrequency (%)
054-247-0551 2
 
1.0%
054-748-6400 2
 
1.0%
054-971-1004 1
 
0.5%
054-275-0005 1
 
0.5%
054-763-8000 1
 
0.5%
054-273-5511 1
 
0.5%
054-933-7001 1
 
0.5%
054-230-7700 1
 
0.5%
054-930-8264 1
 
0.5%
054-973-2023 1
 
0.5%
Other values (197) 197
94.3%
2023-12-12T20:39:56.638871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 503
20.0%
- 418
16.6%
5 354
14.1%
4 313
12.5%
7 170
 
6.8%
3 162
 
6.4%
1 150
 
6.0%
2 143
 
5.7%
8 135
 
5.4%
6 85
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2095
83.4%
Dash Punctuation 418
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 503
24.0%
5 354
16.9%
4 313
14.9%
7 170
 
8.1%
3 162
 
7.7%
1 150
 
7.2%
2 143
 
6.8%
8 135
 
6.4%
6 85
 
4.1%
9 80
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 418
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2513
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 503
20.0%
- 418
16.6%
5 354
14.1%
4 313
12.5%
7 170
 
6.8%
3 162
 
6.4%
1 150
 
6.0%
2 143
 
5.7%
8 135
 
5.4%
6 85
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2513
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 503
20.0%
- 418
16.6%
5 354
14.1%
4 313
12.5%
7 170
 
6.8%
3 162
 
6.4%
1 150
 
6.0%
2 143
 
5.7%
8 135
 
5.4%
6 85
 
3.4%

Interactions

2023-12-12T20:39:51.600759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:39:56.799201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.888
구분0.8881.000
2023-12-12T20:39:56.934967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.750
구분0.7501.000

Missing values

2023-12-12T20:39:51.902305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:39:52.094964image/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

연번구분기관명주소전화번호
01요양병원가야이요양병원경상북도 성주군 성주읍 주산로 183 (성주읍)054-933-7001
12요양병원감꽃요양병원경상북도 청도군 각북면 헐티로 1229 ()054-371-7770
23요양병원경상북도립경산노인전문요양병원경상북도 경산시 경안로 23-10 (상방동)053-819-0700
34요양병원경상북도립김천노인전문요양병원경상북도 김천시 어모면 신애길 100-10 ()054-420-7200
45요양병원경상북도립안동노인전문요양병원경상북도 안동시 남후면 남일로 1463 ()054-851-6000
56요양병원경상북도포항노인전문요양병원경상북도 포항시 북구 용흥로 36 (용흥동)054-247-0551
67요양병원경주시립노인전문요양병원경상북도 경주시 현곡면 충현로 610-120 ()054-743-6200
78요양병원경주요양병원경상북도 경주시 태종로 572-0 4호 (충효동,경주요양병원)054-700-9272
89요양병원고려대련요양병원경상북도 포항시 북구 흥해읍 새마을로 318-12 ()054-241-1011
910요양병원고령군립요양병원경상북도 고령군 대가야읍 중앙로 31 ()054-955-2661
연번구분기관명주소전화번호
200201정신의료기관돌고래정신건강의학과의원경산시 하양읍 부호리 193<NA>
201202정신의료기관해안1병원의성군 의성읍 경북대로 5732054-834-6660
202203정신의료기관청송진보병원청송군 경동로 4003 청송진보병원054-873-1111
203204정신의료기관하나병원청도군 청도읍 청도신기길 78-10054-373-0911
204205정신의료기관청도메타병원청도군 청도읍 고수산복길198054-370-9900
205206정신의료기관성주제일병원경북성주군성주읍 성주순환로274054-933-0712
206207정신의료기관칠곡시몬병원경상북도 칠곡군 왜관읍 금남5길 62054-976-0401
207208정신의료기관왜관병원경상북도 칠곡군 왜관읍 군청2길 10054-971-1004
208209정신의료기관혜원성모병원칠곡군 약목면 관호7길 41054-979-7114
209210정신의료기관산울림병원칠곡군 금남3길99-1054-976-2580