Overview

Dataset statistics

Number of variables11
Number of observations49
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory93.7 B

Variable types

Text6
Categorical2
Numeric3

Alerts

등록일자 has constant value ""Constant
우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 우편번호High correlation
팩스번호 has 1 (2.0%) missing valuesMissing
병원명 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique
우편번호 has unique valuesUnique
전화번호 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:39:38.463597
Analysis finished2023-12-10 21:39:40.306213
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

Distinct30
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T06:39:40.439988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1020408
Min length3

Characters and Unicode

Total characters152
Distinct characters37
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

Unique13 ?
Unique (%)26.5%

Sample

1st row가평군
2nd row가평군
3rd row고양시
4th row고양시
5th row광명시
ValueCountFrequency (%)
수원시 3
 
6.1%
성남시 3
 
6.1%
화성시 2
 
4.1%
고양시 2
 
4.1%
평택시 2
 
4.1%
의정부시 2
 
4.1%
용인시 2
 
4.1%
양주시 2
 
4.1%
안성시 2
 
4.1%
가평군 2
 
4.1%
Other values (20) 27
55.1%
2023-12-11T06:39:40.760503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 47
30.9%
양 9
 
5.9%
주 8
 
5.3%
성 7
 
4.6%
천 6
 
3.9%
남 6
 
3.9%
안 6
 
3.9%
평 5
 
3.3%
군 5
 
3.3%
광 4
 
2.6%
Other values (27) 49
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 47
30.9%
양 9
 
5.9%
주 8
 
5.3%
성 7
 
4.6%
천 6
 
3.9%
남 6
 
3.9%
안 6
 
3.9%
평 5
 
3.3%
군 5
 
3.3%
광 4
 
2.6%
Other values (27) 49
32.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 47
30.9%
양 9
 
5.9%
주 8
 
5.3%
성 7
 
4.6%
천 6
 
3.9%
남 6
 
3.9%
안 6
 
3.9%
평 5
 
3.3%
군 5
 
3.3%
광 4
 
2.6%
Other values (27) 49
32.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 47
30.9%
양 9
 
5.9%
주 8
 
5.3%
성 7
 
4.6%
천 6
 
3.9%
남 6
 
3.9%
안 6
 
3.9%
평 5
 
3.3%
군 5
 
3.3%
광 4
 
2.6%
Other values (27) 49
32.2%

병원유형
Categorical

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
병원
23 
종합병원
19 
의원
6 
요양병원
 
1

Length

Max length4
Median length2
Mean length2.8163265
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row의원
2nd row병원
3rd row종합병원
4th row병원
5th row종합병원

Common Values

ValueCountFrequency (%)
병원 23
46.9%
종합병원 19
38.8%
의원 6
 
12.2%
요양병원 1
 
2.0%

Length

2023-12-11T06:39:40.902314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:39:41.023215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 23
46.9%
종합병원 19
38.8%
의원 6
 
12.2%
요양병원 1
 
2.0%

병원명
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T06:39:41.237356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.8163265
Min length3

Characters and Unicode

Total characters334
Distinct characters113
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

Unique49 ?
Unique (%)100.0%

Sample

1st row가평성모의원
2nd row청심국제병원
3rd row인제대학교 일산백병원
4th row일산복음병원
5th row광명성애병원
ValueCountFrequency (%)
경기도립의료원 3
 
5.2%
경기도의료원 2
 
3.4%
윤이비인후과의원 1
 
1.7%
안성병원 1
 
1.7%
안성동인병원 1
 
1.7%
김형근예병원 1
 
1.7%
안양샘병원 1
 
1.7%
21세기내과의원 1
 
1.7%
양주예쓰병원 1
 
1.7%
양평병원 1
 
1.7%
Other values (45) 45
77.6%
2023-12-11T06:39:41.609440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 57
 
17.1%
병 43
 
12.9%
의 15
 
4.5%
9
 
2.7%
성 8
 
2.4%
료 8
 
2.4%
기 7
 
2.1%
인 5
 
1.5%
도 5
 
1.5%
중 5
 
1.5%
Other values (103) 172
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 319
95.5%
Space Separator 9
 
2.7%
Decimal Number 4
 
1.2%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 57
 
17.9%
병 43
 
13.5%
의 15
 
4.7%
성 8
 
2.5%
료 8
 
2.5%
기 7
 
2.2%
인 5
 
1.6%
도 5
 
1.6%
중 5
 
1.6%
앙 5
 
1.6%
Other values (98) 161
50.5%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 319
95.5%
Common 15
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 57
 
17.9%
병 43
 
13.5%
의 15
 
4.7%
성 8
 
2.5%
료 8
 
2.5%
기 7
 
2.2%
인 5
 
1.6%
도 5
 
1.6%
중 5
 
1.6%
앙 5
 
1.6%
Other values (98) 161
50.5%
Common
ValueCountFrequency (%)
9
60.0%
1 2
 
13.3%
2 2
 
13.3%
( 1
 
6.7%
) 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 319
95.5%
ASCII 15
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 57
 
17.9%
병 43
 
13.5%
의 15
 
4.7%
성 8
 
2.5%
료 8
 
2.5%
기 7
 
2.2%
인 5
 
1.6%
도 5
 
1.6%
중 5
 
1.6%
앙 5
 
1.6%
Other values (98) 161
50.5%
ASCII
ValueCountFrequency (%)
9
60.0%
1 2
 
13.3%
2 2
 
13.3%
( 1
 
6.7%
) 1
 
6.7%

도로명주소
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T06:39:41.888523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length24.408163
Min length19

Characters and Unicode

Total characters1196
Distinct characters146
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

Unique49 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 가화로 75 (대곡리)
2nd row경기도 가평군 설악면 미사리로 267-177 (송산리)
3rd row경기도 고양시 일산서구 주화로 170 (대화동)
4th row경기도 고양시 일산동구 고양대로 760 (중산동)
5th row경기도 광명시 디지털로 36 (철산동)
ValueCountFrequency (%)
경기도 49
 
18.3%
성남시 3
 
1.1%
수원시 3
 
1.1%
9 3
 
1.1%
안성시 2
 
0.7%
안산시 2
 
0.7%
의정부동 2
 
0.7%
의정부시 2
 
0.7%
남양주시 2
 
0.7%
16 2
 
0.7%
Other values (183) 198
73.9%
2023-12-11T06:39:42.352018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
 
18.3%
경 54
 
4.5%
기 51
 
4.3%
도 50
 
4.2%
) 49
 
4.1%
( 49
 
4.1%
동 48
 
4.0%
로 47
 
3.9%
시 47
 
3.9%
1 34
 
2.8%
Other values (136) 548
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 722
60.4%
Space Separator 219
 
18.3%
Decimal Number 150
 
12.5%
Close Punctuation 49
 
4.1%
Open Punctuation 49
 
4.1%
Dash Punctuation 4
 
0.3%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 54
 
7.5%
기 51
 
7.1%
도 50
 
6.9%
동 48
 
6.6%
로 47
 
6.5%
시 47
 
6.5%
안 18
 
2.5%
대 17
 
2.4%
구 16
 
2.2%
평 13
 
1.8%
Other values (121) 361
50.0%
Decimal Number
ValueCountFrequency (%)
1 34
22.7%
2 18
12.0%
7 17
11.3%
6 15
10.0%
4 15
10.0%
5 13
 
8.7%
0 11
 
7.3%
3 10
 
6.7%
8 9
 
6.0%
9 8
 
5.3%
Space Separator
ValueCountFrequency (%)
219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 722
60.4%
Common 474
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 54
 
7.5%
기 51
 
7.1%
도 50
 
6.9%
동 48
 
6.6%
로 47
 
6.5%
시 47
 
6.5%
안 18
 
2.5%
대 17
 
2.4%
구 16
 
2.2%
평 13
 
1.8%
Other values (121) 361
50.0%
Common
ValueCountFrequency (%)
219
46.2%
) 49
 
10.3%
( 49
 
10.3%
1 34
 
7.2%
2 18
 
3.8%
7 17
 
3.6%
6 15
 
3.2%
4 15
 
3.2%
5 13
 
2.7%
0 11
 
2.3%
Other values (5) 34
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 722
60.4%
ASCII 474
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
46.2%
) 49
 
10.3%
( 49
 
10.3%
1 34
 
7.2%
2 18
 
3.8%
7 17
 
3.6%
6 15
 
3.2%
4 15
 
3.2%
5 13
 
2.7%
0 11
 
2.3%
Other values (5) 34
 
7.2%
Hangul
ValueCountFrequency (%)
경 54
 
7.5%
기 51
 
7.1%
도 50
 
6.9%
동 48
 
6.6%
로 47
 
6.5%
시 47
 
6.5%
안 18
 
2.5%
대 17
 
2.4%
구 16
 
2.2%
평 13
 
1.8%
Other values (121) 361
50.0%

지번주소
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T06:39:42.698598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length21.020408
Min length17

Characters and Unicode

Total characters1030
Distinct characters112
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

Unique49 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 대곡리 232번지
2nd row경기도 가평군 설악면 송산리 426-10번지
3rd row경기도 고양시 일산서구 대화동 2240번지
4th row경기도 고양시 일산동구 중산동 186-2번지
5th row경기도 광명시 철산동 389번지
ValueCountFrequency (%)
경기도 49
 
22.1%
수원시 3
 
1.4%
성남시 3
 
1.4%
광주시 2
 
0.9%
안양시 2
 
0.9%
가평군 2
 
0.9%
안산시 2
 
0.9%
시흥시 2
 
0.9%
양주시 2
 
0.9%
중원구 2
 
0.9%
Other values (143) 153
68.9%
2023-12-11T06:39:43.179247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
173
 
16.8%
경 50
 
4.9%
도 50
 
4.9%
기 50
 
4.9%
지 50
 
4.9%
번 49
 
4.8%
시 47
 
4.6%
동 45
 
4.4%
- 37
 
3.6%
1 32
 
3.1%
Other values (102) 447
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 629
61.1%
Decimal Number 191
 
18.5%
Space Separator 173
 
16.8%
Dash Punctuation 37
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 50
 
7.9%
도 50
 
7.9%
기 50
 
7.9%
지 50
 
7.9%
번 49
 
7.8%
시 47
 
7.5%
동 45
 
7.2%
구 15
 
2.4%
안 14
 
2.2%
양 12
 
1.9%
Other values (90) 247
39.3%
Decimal Number
ValueCountFrequency (%)
1 32
16.8%
3 27
14.1%
4 24
12.6%
5 20
10.5%
2 19
9.9%
6 17
8.9%
8 16
8.4%
9 13
6.8%
7 13
6.8%
0 10
 
5.2%
Space Separator
ValueCountFrequency (%)
173
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 629
61.1%
Common 401
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 50
 
7.9%
도 50
 
7.9%
기 50
 
7.9%
지 50
 
7.9%
번 49
 
7.8%
시 47
 
7.5%
동 45
 
7.2%
구 15
 
2.4%
안 14
 
2.2%
양 12
 
1.9%
Other values (90) 247
39.3%
Common
ValueCountFrequency (%)
173
43.1%
- 37
 
9.2%
1 32
 
8.0%
3 27
 
6.7%
4 24
 
6.0%
5 20
 
5.0%
2 19
 
4.7%
6 17
 
4.2%
8 16
 
4.0%
9 13
 
3.2%
Other values (2) 23
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 629
61.1%
ASCII 401
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
173
43.1%
- 37
 
9.2%
1 32
 
8.0%
3 27
 
6.7%
4 24
 
6.0%
5 20
 
5.0%
2 19
 
4.7%
6 17
 
4.2%
8 16
 
4.0%
9 13
 
3.2%
Other values (2) 23
 
5.7%
Hangul
ValueCountFrequency (%)
경 50
 
7.9%
도 50
 
7.9%
기 50
 
7.9%
지 50
 
7.9%
번 49
 
7.8%
시 47
 
7.5%
동 45
 
7.2%
구 15
 
2.4%
안 14
 
2.2%
양 12
 
1.9%
Other values (90) 247
39.3%

우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14115.98
Minimum10099
Maximum18592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T06:39:43.377416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10099
5-th percentile10596.8
Q112066
median13949
Q316316
95-th percentile18060.8
Maximum18592
Range8493
Interquartile range (IQR)4250

Descriptive statistics

Standard deviation2503.6287
Coefficient of variation (CV)0.17736131
Kurtosis-1.1854116
Mean14115.98
Median Absolute Deviation (MAD)2111
Skewness0.23995854
Sum691683
Variance6268156.5
MonotonicityNot monotonic
2023-12-11T06:39:43.540699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
12420 1
 
2.0%
17064 1
 
2.0%
17583 1
 
2.0%
13949 1
 
2.0%
14030 1
 
2.0%
11492 1
 
2.0%
11451 1
 
2.0%
12550 1
 
2.0%
12626 1
 
2.0%
11027 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
10099 1
2.0%
10355 1
2.0%
10380 1
2.0%
10922 1
2.0%
11027 1
2.0%
11142 1
2.0%
11326 1
2.0%
11451 1
2.0%
11492 1
2.0%
11671 1
2.0%
ValueCountFrequency (%)
18592 1
2.0%
18399 1
2.0%
18144 1
2.0%
17936 1
2.0%
17909 1
2.0%
17583 1
2.0%
17572 1
2.0%
17381 1
2.0%
17064 1
2.0%
17063 1
2.0%

전화번호
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T06:39:43.829883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.979592
Min length9

Characters and Unicode

Total characters587
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

Unique49 ?
Unique (%)100.0%

Sample

1st row031-582-1833
2nd row031-589-4300
3rd row031-910-7114
4th row031-977-5000
5th row02-2680-7114
ValueCountFrequency (%)
031-582-1833 1
 
2.0%
031-401-4172 1
 
2.0%
031-677-0300 1
 
2.0%
031-421-7575 1
 
2.0%
031-467-9114 1
 
2.0%
031-847-8600 1
 
2.0%
031-825-5000 1
 
2.0%
031-770-5000 1
 
2.0%
031-885-7582 1
 
2.0%
031-839-4001 1
 
2.0%
Other values (39) 39
79.6%
2023-12-11T06:39:44.298310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 126
21.5%
- 97
16.5%
1 96
16.4%
3 72
12.3%
7 35
 
6.0%
4 32
 
5.5%
5 31
 
5.3%
2 30
 
5.1%
8 27
 
4.6%
9 21
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 490
83.5%
Dash Punctuation 97
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 126
25.7%
1 96
19.6%
3 72
14.7%
7 35
 
7.1%
4 32
 
6.5%
5 31
 
6.3%
2 30
 
6.1%
8 27
 
5.5%
9 21
 
4.3%
6 20
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 587
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 126
21.5%
- 97
16.5%
1 96
16.4%
3 72
12.3%
7 35
 
6.0%
4 32
 
5.5%
5 31
 
5.3%
2 30
 
5.1%
8 27
 
4.6%
9 21
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 587
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 126
21.5%
- 97
16.5%
1 96
16.4%
3 72
12.3%
7 35
 
6.0%
4 32
 
5.5%
5 31
 
5.3%
2 30
 
5.1%
8 27
 
4.6%
9 21
 
3.6%

팩스번호
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing1
Missing (%)2.0%
Memory size524.0 B
2023-12-11T06:39:44.575237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.770833
Min length1

Characters and Unicode

Total characters565
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

Unique48 ?
Unique (%)100.0%

Sample

1st row031-582-1722
2nd row031-589-4635
3rd row031-910-7542
4th row0
5th row02-2680-7755
ValueCountFrequency (%)
031-582-1722 1
 
2.1%
031-589-4635 1
 
2.1%
031-8046-5566 1
 
2.1%
031-671-0645 1
 
2.1%
031-423-9405 1
 
2.1%
031-467-9198 1
 
2.1%
031-825-0073 1
 
2.1%
031-770-5555 1
 
2.1%
031-885-5350 1
 
2.1%
031-839-4191 1
 
2.1%
Other values (38) 38
79.2%
2023-12-11T06:39:45.028102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 93
16.5%
0 90
15.9%
1 71
12.6%
3 68
12.0%
5 51
9.0%
8 41
7.3%
2 36
 
6.4%
6 33
 
5.8%
7 31
 
5.5%
9 27
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 472
83.5%
Dash Punctuation 93
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
19.1%
1 71
15.0%
3 68
14.4%
5 51
10.8%
8 41
8.7%
2 36
 
7.6%
6 33
 
7.0%
7 31
 
6.6%
9 27
 
5.7%
4 24
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 565
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 93
16.5%
0 90
15.9%
1 71
12.6%
3 68
12.0%
5 51
9.0%
8 41
7.3%
2 36
 
6.4%
6 33
 
5.8%
7 31
 
5.5%
9 27
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 565
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 93
16.5%
0 90
15.9%
1 71
12.6%
3 68
12.0%
5 51
9.0%
8 41
7.3%
2 36
 
6.4%
6 33
 
5.8%
7 31
 
5.5%
9 27
 
4.8%

등록일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2016-12-23T16:24:30+09:00
49 

Length

Max length25
Median length25
Mean length25
Min length25

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016-12-23T16:24:30+09:00
2nd row2016-12-23T16:24:30+09:00
3rd row2016-12-23T16:24:30+09:00
4th row2016-12-23T16:24:30+09:00
5th row2016-12-23T16:24:30+09:00

Common Values

ValueCountFrequency (%)
2016-12-23T16:24:30+09:00 49
100.0%

Length

2023-12-11T06:39:45.208753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:39:45.333053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016-12-23t16:24:30+09:00 49
100.0%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.461454
Minimum36.984127
Maximum38.023234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T06:39:45.466399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.984127
5-th percentile37.009065
Q137.289778
median37.442127
Q337.674125
95-th percentile37.876885
Maximum38.023234
Range1.0391064
Interquartile range (IQR)0.3843475

Descriptive statistics

Standard deviation0.25545
Coefficient of variation (CV)0.0068190094
Kurtosis-0.51937897
Mean37.461454
Median Absolute Deviation (MAD)0.1685539
Skewness0.11085562
Sum1835.6112
Variance0.065254705
MonotonicityNot monotonic
2023-12-11T06:39:45.641315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
37.8264002 1
 
2.0%
37.2735728 1
 
2.0%
37.005222 1
 
2.0%
37.4036358 1
 
2.0%
37.3934682 1
 
2.0%
37.7956567 1
 
2.0%
37.8376409 1
 
2.0%
37.4939143 1
 
2.0%
37.2897777 1
 
2.0%
38.0232338 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
36.9841274 1
2.0%
36.9930497 1
2.0%
37.005222 1
2.0%
37.01483 1
2.0%
37.1312768 1
2.0%
37.1411119 1
2.0%
37.2131043 1
2.0%
37.2315502 1
2.0%
37.2512665 1
2.0%
37.2735728 1
2.0%
ValueCountFrequency (%)
38.0232338 1
2.0%
37.9090181 1
2.0%
37.9030485 1
2.0%
37.8376409 1
2.0%
37.8264002 1
2.0%
37.7956567 1
2.0%
37.7549281 1
2.0%
37.7496809 1
2.0%
37.7410417 1
2.0%
37.71119 1
2.0%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.0655
Minimum126.71071
Maximum127.63284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T06:39:45.791773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.71071
5-th percentile126.75729
Q1126.91083
median127.0539
Q3127.19736
95-th percentile127.51018
Maximum127.63284
Range0.9221246
Interquartile range (IQR)0.2865308

Descriptive statistics

Standard deviation0.2249106
Coefficient of variation (CV)0.0017700367
Kurtosis-0.052381094
Mean127.0655
Median Absolute Deviation (MAD)0.1434535
Skewness0.55305564
Sum6226.2095
Variance0.050584777
MonotonicityNot monotonic
2023-12-11T06:39:45.945104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
127.5147702 1
 
2.0%
127.1114699 1
 
2.0%
127.2669064 1
 
2.0%
126.973257 1
 
2.0%
126.92451 1
 
2.0%
127.0801325 1
 
2.0%
127.0644879 1
 
2.0%
127.503288 1
 
2.0%
127.6328377 1
 
2.0%
127.0606114 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
126.7107131 1
2.0%
126.7282 1
2.0%
126.7505158 1
2.0%
126.7674404 1
2.0%
126.7693509 1
2.0%
126.7797904 1
2.0%
126.7799869 1
2.0%
126.7892765 1
2.0%
126.8364695 1
2.0%
126.871656 1
2.0%
ValueCountFrequency (%)
127.6328377 1
2.0%
127.5213882 1
2.0%
127.5147702 1
2.0%
127.503288 1
2.0%
127.4502447 1
2.0%
127.3108019 1
2.0%
127.3043528 1
2.0%
127.2669064 1
2.0%
127.2574561 1
2.0%
127.2560628 1
2.0%

Interactions

2023-12-11T06:39:39.472925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:38.918083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:39.192046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:39.888636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:39.010225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:39.280343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:39.983523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:39.104380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:39.370589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:39:46.046993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명병원유형병원명도로명주소지번주소우편번호전화번호팩스번호WGS84위도WGS84경도
시군명1.0000.0001.0001.0001.0000.9961.0001.0000.9810.947
병원유형0.0001.0001.0001.0001.0000.1901.0001.0000.0000.000
병원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
우편번호0.9960.1901.0001.0001.0001.0001.0001.0000.8740.733
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
WGS84위도0.9810.0001.0001.0001.0000.8741.0001.0001.0000.000
WGS84경도0.9470.0001.0001.0001.0000.7331.0001.0000.0001.000
2023-12-11T06:39:46.163961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호WGS84위도WGS84경도병원유형
우편번호1.000-0.918-0.0200.134
WGS84위도-0.9181.000-0.0040.000
WGS84경도-0.020-0.0041.0000.000
병원유형0.1340.0000.0001.000

Missing values

2023-12-11T06:39:40.092782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:39:40.246612image/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

시군명병원유형병원명도로명주소지번주소우편번호전화번호팩스번호등록일자WGS84위도WGS84경도
0가평군의원가평성모의원경기도 가평군 가평읍 가화로 75 (대곡리)경기도 가평군 가평읍 대곡리 232번지12420031-582-1833031-582-17222016-12-23T16:24:30+09:0037.8264127.51477
1가평군병원청심국제병원경기도 가평군 설악면 미사리로 267-177 (송산리)경기도 가평군 설악면 송산리 426-10번지12461031-589-4300031-589-46352016-12-23T16:24:30+09:0037.690887127.521388
2고양시종합병원인제대학교 일산백병원경기도 고양시 일산서구 주화로 170 (대화동)경기도 고양시 일산서구 대화동 2240번지10380031-910-7114031-910-75422016-12-23T16:24:30+09:0037.674125126.750516
3고양시병원일산복음병원경기도 고양시 일산동구 고양대로 760 (중산동)경기도 고양시 일산동구 중산동 186-2번지10355031-977-500002016-12-23T16:24:30+09:0037.681798126.779987
4광명시종합병원광명성애병원경기도 광명시 디지털로 36 (철산동)경기도 광명시 철산동 389번지1424102-2680-711402-2680-77552016-12-23T16:24:30+09:0037.473322126.871656
5광명시병원광명인병원경기도 광명시 범안로 1046 (하안동)경기도 광명시 하안동 36-2번지1430502-801-123402-801-12842016-12-23T16:24:30+09:0037.461933126.879339
6광주시병원탄탄병원경기도 광주시 경안로 40 (경안동)경기도 광주시 경안동 36-17번지12761031-763-7582031-761-07412016-12-23T16:24:30+09:0037.409387127.256063
7광주시의원퇴촌중앙의원경기도 광주시 퇴촌면 광동로 73-8 (광동리)경기도 광주시 퇴촌면 광동리 152-3번지12711031-766-6211031-766-62562016-12-23T16:24:30+09:0037.470751127.310802
8구리시병원윤서병원경기도 구리시 건원대로 47 (인창동)경기도 구리시 인창동 344-19번지11918031-553-6650031-554-00402016-12-23T16:24:30+09:0037.60514127.139424
9군포시병원남천병원경기도 군포시 고산로 575 (산본동)경기도 군포시 산본동 1100-1번지15820031-390-2114031-390-21552016-12-23T16:24:30+09:0037.36461126.925872
시군명병원유형병원명도로명주소지번주소우편번호전화번호팩스번호등록일자WGS84위도WGS84경도
39의정부시종합병원경기도립의료원 의정부병원경기도 의정부시 흥선로 142 (의정부동)경기도 의정부시 의정부동 433번지11671031-828-5000031-828-50212016-12-23T16:24:30+09:0037.741042127.042432
40의정부시병원추병원경기도 의정부시 평화로 650 (의정부동)경기도 의정부시 의정부동 234-2번지11686031-845-7777031-845-82162016-12-23T16:24:30+09:0037.749681127.045205
41이천시병원바른병원경기도 이천시 경충대로 2543 (진리동)경기도 이천시 진리동 9-11번지17381031-630-0300031-635-61122016-12-23T16:24:30+09:0037.273688127.450245
42파주시종합병원경기도의료원 파주병원경기도 파주시 중앙로 207 (금촌동)경기도 파주시 금촌동 798번지10922031-940-9100031-944-09092016-12-23T16:24:30+09:0037.754928126.77979
43평택시종합병원박애병원경기도 평택시 평택2로20번길 3 (평택동)경기도 평택시 평택동 41-2번지17909031-652-2121031-653-78662016-12-23T16:24:30+09:0036.99305127.088951
44평택시병원성심중앙병원경기도 평택시 안중읍 안현로서6길 16 (현화리,성심중앙병원)경기도 평택시 안중읍 현화리 28번지 성심중앙병원17936031-681-2000031-681-02712016-12-23T16:24:30+09:0036.984127126.927628
45포천시종합병원경기도립의료원 포천병원경기도 포천시 포천로 1648 (신읍동)경기도 포천시 신읍동 243-1번지11142031-539-9114031-539-91372016-12-23T16:24:30+09:0037.903048127.197357
46하남시병원햇살병원경기도 하남시 신평로 51 (신장동)경기도 하남시 신장동 427-180번지12968031-791-7330031-795-00132016-12-23T16:24:30+09:0037.538374127.204564
47화성시종합병원화성중앙병원경기도 화성시 향남읍 발안로 5 (평리)경기도 화성시 향남읍 평리 74-1번지18592031-352-8114031-352-75872016-12-23T16:24:30+09:0037.131277126.910827
48화성시병원희망찬병원경기도 화성시 병점중앙로 174 (진안동,인동프라자)경기도 화성시 진안동 868-9번지 인동프라자18399031-221-6999031-221-69892016-12-23T16:24:30+09:0037.213104127.037389