Overview

Dataset statistics

Number of variables5
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory43.6 B

Variable types

Numeric1
Text4

Dataset

Description충청북도 보은군의 의약업소 현황에 대한 데이터로 보은군에 위치한 병원, 의원 및 약국의 업소명, 전화번호 등을 제공합니다.
Author충청북도 보은군
URLhttps://www.data.go.kr/data/15053581/fileData.do

Alerts

순번 has unique valuesUnique
명칭 has unique valuesUnique
개설자 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-05-04 08:22:26.417714
Analysis finished2024-05-04 08:22:27.706215
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-04T08:22:27.930138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2024-05-04T08:22:28.397371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

명칭
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-04T08:22:28.954381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length7.1960784
Min length4

Characters and Unicode

Total characters367
Distinct characters95
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

Unique51 ?
Unique (%)100.0%

Sample

1st row(의료법인)정민의료재단 보은한양병원
2nd row(의료법인)정민의료재단 마음편한병원
3rd row(의료법인)브루노의료재단 보은요양병원
4th row(의료법인)아인의료재단 성암요양병원
5th row(의료법인)누가의료재단 속리산요양병원
ValueCountFrequency (%)
약 12
 
13.0%
국 12
 
13.0%
보 2
 
2.2%
화 2
 
2.2%
원 2
 
2.2%
나 2
 
2.2%
은 2
 
2.2%
의료법인)정민의료재단 2
 
2.2%
속리산요양병원 1
 
1.1%
김종수내과의원 1
 
1.1%
Other values (54) 54
58.7%
2024-05-04T08:22:29.979708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
11.2%
의 32
 
8.7%
원 29
 
7.9%
국 17
 
4.6%
약 17
 
4.6%
과 15
 
4.1%
한 11
 
3.0%
료 10
 
2.7%
보 9
 
2.5%
은 8
 
2.2%
Other values (85) 178
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 316
86.1%
Space Separator 41
 
11.2%
Open Punctuation 5
 
1.4%
Close Punctuation 5
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 32
 
10.1%
원 29
 
9.2%
국 17
 
5.4%
약 17
 
5.4%
과 15
 
4.7%
한 11
 
3.5%
료 10
 
3.2%
보 9
 
2.8%
은 8
 
2.5%
인 7
 
2.2%
Other values (82) 161
50.9%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 316
86.1%
Common 51
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 32
 
10.1%
원 29
 
9.2%
국 17
 
5.4%
약 17
 
5.4%
과 15
 
4.7%
한 11
 
3.5%
료 10
 
3.2%
보 9
 
2.8%
은 8
 
2.5%
인 7
 
2.2%
Other values (82) 161
50.9%
Common
ValueCountFrequency (%)
41
80.4%
( 5
 
9.8%
) 5
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 316
86.1%
ASCII 51
 
13.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
80.4%
( 5
 
9.8%
) 5
 
9.8%
Hangul
ValueCountFrequency (%)
의 32
 
10.1%
원 29
 
9.2%
국 17
 
5.4%
약 17
 
5.4%
과 15
 
4.7%
한 11
 
3.5%
료 10
 
3.2%
보 9
 
2.8%
은 8
 
2.5%
인 7
 
2.2%
Other values (82) 161
50.9%

개설자
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-04T08:22:30.562006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters153
Distinct characters83
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row김병호
2nd row천용태
3rd row박태현
4th row민혜정
5th row이은성
ValueCountFrequency (%)
김병호 1
 
1.9%
손병철 1
 
1.9%
이승일 1
 
1.9%
송정호 1
 
1.9%
임현빈 1
 
1.9%
엄기복 1
 
1.9%
안병섭 1
 
1.9%
하성민 1
 
1.9%
정인호 1
 
1.9%
박영기 1
 
1.9%
Other values (42) 42
80.8%
2024-05-04T08:22:31.609478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 11
 
7.2%
이 9
 
5.9%
성 5
 
3.3%
정 5
 
3.3%
현 4
 
2.6%
영 4
 
2.6%
병 4
 
2.6%
기 4
 
2.6%
박 4
 
2.6%
호 4
 
2.6%
Other values (73) 99
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152
99.3%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 11
 
7.2%
이 9
 
5.9%
성 5
 
3.3%
정 5
 
3.3%
현 4
 
2.6%
영 4
 
2.6%
병 4
 
2.6%
기 4
 
2.6%
박 4
 
2.6%
호 4
 
2.6%
Other values (72) 98
64.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152
99.3%
Common 1
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 11
 
7.2%
이 9
 
5.9%
성 5
 
3.3%
정 5
 
3.3%
현 4
 
2.6%
영 4
 
2.6%
병 4
 
2.6%
기 4
 
2.6%
박 4
 
2.6%
호 4
 
2.6%
Other values (72) 98
64.5%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152
99.3%
ASCII 1
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 11
 
7.2%
이 9
 
5.9%
성 5
 
3.3%
정 5
 
3.3%
현 4
 
2.6%
영 4
 
2.6%
병 4
 
2.6%
기 4
 
2.6%
박 4
 
2.6%
호 4
 
2.6%
Other values (72) 98
64.5%
ASCII
ValueCountFrequency (%)
1
100.0%

주소
Text

Distinct42
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-04T08:22:32.185561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length11.372549
Min length9

Characters and Unicode

Total characters580
Distinct characters51
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

Unique35 ?
Unique (%)68.6%

Sample

1st row보은읍 보은로 102
2nd row보은읍 뱃들로 53
3rd row수한면 후평바리미길 31
4th row내북면 남부로 6427-27
5th row속리산면 속리산로 701
ValueCountFrequency (%)
보은읍 41
26.5%
보은로 13
 
8.4%
삼산로 10
 
6.5%
삼산남로 5
 
3.2%
남부로 4
 
2.6%
20 3
 
1.9%
마로면 3
 
1.9%
9 3
 
1.9%
103 3
 
1.9%
98 2
 
1.3%
Other values (54) 68
43.9%
2024-05-04T08:22:33.386112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
17.9%
보 55
 
9.5%
은 55
 
9.5%
로 47
 
8.1%
읍 41
 
7.1%
1 27
 
4.7%
산 24
 
4.1%
2 24
 
4.1%
삼 21
 
3.6%
3 19
 
3.3%
Other values (41) 163
28.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
56.6%
Decimal Number 134
23.1%
Space Separator 104
 
17.9%
Dash Punctuation 10
 
1.7%
Other Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 55
16.8%
은 55
16.8%
로 47
14.3%
읍 41
12.5%
산 24
7.3%
삼 21
 
6.4%
남 11
 
3.4%
면 10
 
3.0%
길 8
 
2.4%
리 5
 
1.5%
Other values (28) 51
15.5%
Decimal Number
ValueCountFrequency (%)
1 27
20.1%
2 24
17.9%
3 19
14.2%
4 19
14.2%
0 13
9.7%
9 12
9.0%
5 8
 
6.0%
7 6
 
4.5%
6 3
 
2.2%
8 3
 
2.2%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 328
56.6%
Common 252
43.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 55
16.8%
은 55
16.8%
로 47
14.3%
읍 41
12.5%
산 24
7.3%
삼 21
 
6.4%
남 11
 
3.4%
면 10
 
3.0%
길 8
 
2.4%
리 5
 
1.5%
Other values (28) 51
15.5%
Common
ValueCountFrequency (%)
104
41.3%
1 27
 
10.7%
2 24
 
9.5%
3 19
 
7.5%
4 19
 
7.5%
0 13
 
5.2%
9 12
 
4.8%
- 10
 
4.0%
5 8
 
3.2%
7 6
 
2.4%
Other values (3) 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 328
56.6%
ASCII 252
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
41.3%
1 27
 
10.7%
2 24
 
9.5%
3 19
 
7.5%
4 19
 
7.5%
0 13
 
5.2%
9 12
 
4.8%
- 10
 
4.0%
5 8
 
3.2%
7 6
 
2.4%
Other values (3) 10
 
4.0%
Hangul
ValueCountFrequency (%)
보 55
16.8%
은 55
16.8%
로 47
14.3%
읍 41
12.5%
산 24
7.3%
삼 21
 
6.4%
남 11
 
3.4%
면 10
 
3.0%
길 8
 
2.4%
리 5
 
1.5%
Other values (28) 51
15.5%

전화번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-04T08:22:33.977955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters612
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

Unique51 ?
Unique (%)100.0%

Sample

1st row043-544-1500
2nd row043-542-3100
3rd row043-544-7114
4th row043-544-0330
5th row043-934-0100
ValueCountFrequency (%)
043-544-1500 1
 
2.0%
043-544-1075 1
 
2.0%
043-543-2803 1
 
2.0%
043-543-0755 1
 
2.0%
043-543-7528 1
 
2.0%
043-544-7528 1
 
2.0%
043-542-2828 1
 
2.0%
043-543-1251 1
 
2.0%
043-544-2037 1
 
2.0%
043-544-2157 1
 
2.0%
Other values (41) 41
80.4%
2024-05-04T08:22:35.038716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 135
22.1%
- 102
16.7%
3 94
15.4%
0 81
13.2%
5 77
12.6%
2 40
 
6.5%
7 29
 
4.7%
8 20
 
3.3%
1 18
 
2.9%
9 9
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 510
83.3%
Dash Punctuation 102
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 135
26.5%
3 94
18.4%
0 81
15.9%
5 77
15.1%
2 40
 
7.8%
7 29
 
5.7%
8 20
 
3.9%
1 18
 
3.5%
9 9
 
1.8%
6 7
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 135
22.1%
- 102
16.7%
3 94
15.4%
0 81
13.2%
5 77
12.6%
2 40
 
6.5%
7 29
 
4.7%
8 20
 
3.3%
1 18
 
2.9%
9 9
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 135
22.1%
- 102
16.7%
3 94
15.4%
0 81
13.2%
5 77
12.6%
2 40
 
6.5%
7 29
 
4.7%
8 20
 
3.3%
1 18
 
2.9%
9 9
 
1.5%

Interactions

2024-05-04T08:22:26.989084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T08:22:35.520721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번명칭개설자주소전화번호
순번1.0001.0001.0000.0001.000
명칭1.0001.0001.0001.0001.000
개설자1.0001.0001.0001.0001.000
주소0.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2024-05-04T08:22:27.313702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T08:22:27.580346image/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

순번명칭개설자주소전화번호
01(의료법인)정민의료재단 보은한양병원김병호보은읍 보은로 102043-544-1500
12(의료법인)정민의료재단 마음편한병원천용태보은읍 뱃들로 53043-542-3100
23(의료법인)브루노의료재단 보은요양병원박태현수한면 후평바리미길 31043-544-7114
34(의료법인)아인의료재단 성암요양병원민혜정내북면 남부로 6427-27043-544-0330
45(의료법인)누가의료재단 속리산요양병원이은성속리산면 속리산로 701043-934-0100
56김종수내과의원김종수보은읍 삼산로 42-1043-543-0751
67삼청의원김주석삼승면 원남로 33043-542-9822
78서울외과의원오재필보은읍 보은로 114043-544-6000
89보은성심의원하현균보은읍 삼산로 20, 2층043-544-2355
910연세의원김규범보은읍 삼산로4길 2043-543-3020
순번명칭개설자주소전화번호
4142밝 은 약 국황인영보은읍 삼산남로 9043-543-4799
4243하나로약국홍순창보은읍 산산로 44043-542-1339
4344평 화 약 국이광소보은읍 보은로 93043-544-2332
4445법 주 약 국김금애속리산면 법주사로 241043-543-3802
4546관기약국이지선마로면 관기2길 1043-543-5808
4647원 남 약 국김희성삼승면 원남로 31-2043-544-6464
4748경 희 약 국한헌철보은읍 삼산로 42043-542-3875
4849청강한약국고경원보은읍 뱃들로 20043-544-2927
4950이 화 약 국백현진보은읍 보은로 112-1043-543-5443
5051보은중앙약국우윤명보은읍 삼산로 20043-543-8275