Overview

Dataset statistics

Number of variables5
Number of observations357
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.4 KiB
Average record size in memory41.4 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description부산광역시 금정구 의료기관 현황에 대한 데이터로,병원, 의원, 한의원, 치과의원 등에 대한 항목을 제공합니다.(2024.3.5. 기준)
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/3078698/fileData.do

Alerts

순번 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:11:53.541283
Analysis finished2024-03-14 15:11:54.815957
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct357
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179
Minimum1
Maximum357
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-15T00:11:55.020926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.8
Q190
median179
Q3268
95-th percentile339.2
Maximum357
Range356
Interquartile range (IQR)178

Descriptive statistics

Standard deviation103.20126
Coefficient of variation (CV)0.57654335
Kurtosis-1.2
Mean179
Median Absolute Deviation (MAD)89
Skewness0
Sum63903
Variance10650.5
MonotonicityStrictly increasing
2024-03-15T00:11:55.467012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
225 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
Other values (347) 347
97.2%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
357 1
0.3%
356 1
0.3%
355 1
0.3%
354 1
0.3%
353 1
0.3%
352 1
0.3%
351 1
0.3%
350 1
0.3%
349 1
0.3%
348 1
0.3%

의료기관명
Text

Distinct356
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-15T00:11:56.445298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length7.5378151
Min length3

Characters and Unicode

Total characters2691
Distinct characters299
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique355 ?
Unique (%)99.4%

Sample

1st row구서한방병원
2nd row지온병원
3rd row금정어린이병원
4th row화창한병원
5th row단골병원
ValueCountFrequency (%)
의료법인 4
 
1.0%
행복의원,한의원 2
 
0.5%
정형외과의원 2
 
0.5%
부곡점 2
 
0.5%
남산하나정형외과의원 1
 
0.3%
김태관치과의원 1
 
0.3%
당당한의원 1
 
0.3%
서동한의원 1
 
0.3%
우리정신건강의학과의원 1
 
0.3%
옥승철내과의원 1
 
0.3%
Other values (366) 366
95.8%
2024-03-15T00:11:57.874430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 374
 
13.9%
원 364
 
13.5%
과 225
 
8.4%
한 105
 
3.9%
치 97
 
3.6%
정 49
 
1.8%
이 46
 
1.7%
인 42
 
1.6%
내 32
 
1.2%
부 32
 
1.2%
Other values (289) 1325
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2648
98.4%
Space Separator 26
 
1.0%
Uppercase Letter 6
 
0.2%
Close Punctuation 3
 
0.1%
Other Punctuation 3
 
0.1%
Decimal Number 3
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 374
 
14.1%
원 364
 
13.7%
과 225
 
8.5%
한 105
 
4.0%
치 97
 
3.7%
정 49
 
1.9%
이 46
 
1.7%
인 42
 
1.6%
내 32
 
1.2%
부 32
 
1.2%
Other values (276) 1282
48.4%
Uppercase Letter
ValueCountFrequency (%)
L 1
16.7%
S 1
16.7%
H 1
16.7%
B 1
16.7%
K 1
16.7%
J 1
16.7%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
0 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2647
98.4%
Common 37
 
1.4%
Latin 6
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 374
 
14.1%
원 364
 
13.8%
과 225
 
8.5%
한 105
 
4.0%
치 97
 
3.7%
정 49
 
1.9%
이 46
 
1.7%
인 42
 
1.6%
내 32
 
1.2%
부 32
 
1.2%
Other values (275) 1281
48.4%
Common
ValueCountFrequency (%)
26
70.3%
) 3
 
8.1%
, 3
 
8.1%
( 2
 
5.4%
3 1
 
2.7%
0 1
 
2.7%
2 1
 
2.7%
Latin
ValueCountFrequency (%)
L 1
16.7%
S 1
16.7%
H 1
16.7%
B 1
16.7%
K 1
16.7%
J 1
16.7%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2647
98.4%
ASCII 43
 
1.6%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 374
 
14.1%
원 364
 
13.8%
과 225
 
8.5%
한 105
 
4.0%
치 97
 
3.7%
정 49
 
1.9%
이 46
 
1.7%
인 42
 
1.6%
내 32
 
1.2%
부 32
 
1.2%
Other values (275) 1281
48.4%
ASCII
ValueCountFrequency (%)
26
60.5%
) 3
 
7.0%
, 3
 
7.0%
( 2
 
4.7%
L 1
 
2.3%
S 1
 
2.3%
H 1
 
2.3%
B 1
 
2.3%
K 1
 
2.3%
J 1
 
2.3%
Other values (3) 3
 
7.0%
CJK
ValueCountFrequency (%)
美 1
100.0%

의료기관종별
Categorical

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
의원
150 
치과의원
94 
한의원
81 
요양병원(일반요양병원)
16 
병원
 
10
Other values (3)
 
6

Length

Max length12
Median length4
Mean length3.232493
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row한방병원
2nd row병원
3rd row병원
4th row병원
5th row병원

Common Values

ValueCountFrequency (%)
의원 150
42.0%
치과의원 94
26.3%
한의원 81
22.7%
요양병원(일반요양병원) 16
 
4.5%
병원 10
 
2.8%
정신병원 3
 
0.8%
한방병원 2
 
0.6%
보건소 1
 
0.3%

Length

2024-03-15T00:11:58.306247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:11:58.661075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 150
42.0%
치과의원 94
26.3%
한의원 81
22.7%
요양병원(일반요양병원 16
 
4.5%
병원 10
 
2.8%
정신병원 3
 
0.8%
한방병원 2
 
0.6%
보건소 1
 
0.3%

주소(도로명)
Text

Distinct340
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-15T00:11:59.796712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length42
Mean length29.355742
Min length20

Characters and Unicode

Total characters10480
Distinct characters176
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique323 ?
Unique (%)90.5%

Sample

1st row부산광역시 금정구 구서중앙로15번길 20, 금정산온천 레포츠 7,9층 (구서동)
2nd row부산광역시 금정구 온천장로 146, 지하1,지상3~11층 (장전동)
3rd row부산광역시 금정구 금정로 244, 2~5층 (구서동)
4th row부산광역시 금정구 중앙대로1685번길 12, 지하2~6층 (부곡동)
5th row부산광역시 금정구 중앙대로 1829, 5~10, 14층 12~13층 일부호 (구서동)
ValueCountFrequency (%)
부산광역시 357
 
16.6%
금정구 357
 
16.6%
구서동 104
 
4.8%
2층 90
 
4.2%
부곡동 79
 
3.7%
장전동 70
 
3.2%
중앙대로 68
 
3.2%
서동 47
 
2.2%
금강로 45
 
2.1%
남산동 44
 
2.0%
Other values (376) 895
41.5%
2024-03-15T00:12:01.200634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1799
 
17.2%
구 491
 
4.7%
부 489
 
4.7%
금 455
 
4.3%
1 420
 
4.0%
산 418
 
4.0%
동 413
 
3.9%
정 387
 
3.7%
시 363
 
3.5%
) 360
 
3.4%
Other values (166) 4885
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5966
56.9%
Space Separator 1799
 
17.2%
Decimal Number 1594
 
15.2%
Close Punctuation 360
 
3.4%
Open Punctuation 360
 
3.4%
Other Punctuation 333
 
3.2%
Dash Punctuation 42
 
0.4%
Math Symbol 14
 
0.1%
Uppercase Letter 8
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 491
 
8.2%
부 489
 
8.2%
금 455
 
7.6%
산 418
 
7.0%
동 413
 
6.9%
정 387
 
6.5%
시 363
 
6.1%
광 360
 
6.0%
역 359
 
6.0%
로 356
 
6.0%
Other values (140) 1875
31.4%
Decimal Number
ValueCountFrequency (%)
1 420
26.3%
2 287
18.0%
3 170
10.7%
4 137
 
8.6%
5 128
 
8.0%
0 111
 
7.0%
9 108
 
6.8%
7 89
 
5.6%
6 88
 
5.5%
8 56
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 329
98.8%
@ 2
 
0.6%
/ 1
 
0.3%
. 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
w 1
25.0%
e 1
25.0%
i 1
25.0%
v 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
K 4
50.0%
B 2
25.0%
S 2
25.0%
Space Separator
ValueCountFrequency (%)
1799
100.0%
Close Punctuation
ValueCountFrequency (%)
) 360
100.0%
Open Punctuation
ValueCountFrequency (%)
( 360
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5966
56.9%
Common 4502
43.0%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 491
 
8.2%
부 489
 
8.2%
금 455
 
7.6%
산 418
 
7.0%
동 413
 
6.9%
정 387
 
6.5%
시 363
 
6.1%
광 360
 
6.0%
역 359
 
6.0%
로 356
 
6.0%
Other values (140) 1875
31.4%
Common
ValueCountFrequency (%)
1799
40.0%
1 420
 
9.3%
) 360
 
8.0%
( 360
 
8.0%
, 329
 
7.3%
2 287
 
6.4%
3 170
 
3.8%
4 137
 
3.0%
5 128
 
2.8%
0 111
 
2.5%
Other values (9) 401
 
8.9%
Latin
ValueCountFrequency (%)
K 4
33.3%
B 2
16.7%
S 2
16.7%
w 1
 
8.3%
e 1
 
8.3%
i 1
 
8.3%
v 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5966
56.9%
ASCII 4514
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1799
39.9%
1 420
 
9.3%
) 360
 
8.0%
( 360
 
8.0%
, 329
 
7.3%
2 287
 
6.4%
3 170
 
3.8%
4 137
 
3.0%
5 128
 
2.8%
0 111
 
2.5%
Other values (16) 413
 
9.1%
Hangul
ValueCountFrequency (%)
구 491
 
8.2%
부 489
 
8.2%
금 455
 
7.6%
산 418
 
7.0%
동 413
 
6.9%
정 387
 
6.5%
시 363
 
6.1%
광 360
 
6.0%
역 359
 
6.0%
로 356
 
6.0%
Other values (140) 1875
31.4%

전화번호
Text

UNIQUE 

Distinct357
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-15T00:12:02.337901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length11.901961
Min length8

Characters and Unicode

Total characters4249
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique357 ?
Unique (%)100.0%

Sample

1st row051-517-7500
2nd row051-714-5770
3rd row051-967-5225
4th row051-514-9119
5th row051-582-0100
ValueCountFrequency (%)
051-517-7500 1
 
0.3%
532-1835 1
 
0.3%
051-531-1195 1
 
0.3%
051-581-0012~3 1
 
0.3%
051-514-2330 1
 
0.3%
051-515-5713 1
 
0.3%
051-512-2820 1
 
0.3%
051-515-8275 1
 
0.3%
051-522-7582 1
 
0.3%
051-581-8275 1
 
0.3%
Other values (347) 347
97.2%
2024-03-15T00:12:03.877090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 876
20.6%
1 750
17.7%
- 700
16.5%
0 568
13.4%
2 287
 
6.8%
8 277
 
6.5%
7 261
 
6.1%
3 185
 
4.4%
6 116
 
2.7%
9 114
 
2.7%
Other values (3) 115
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3544
83.4%
Dash Punctuation 700
 
16.5%
Math Symbol 3
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 876
24.7%
1 750
21.2%
0 568
16.0%
2 287
 
8.1%
8 277
 
7.8%
7 261
 
7.4%
3 185
 
5.2%
6 116
 
3.3%
9 114
 
3.2%
4 110
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 700
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4249
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 876
20.6%
1 750
17.7%
- 700
16.5%
0 568
13.4%
2 287
 
6.8%
8 277
 
6.5%
7 261
 
6.1%
3 185
 
4.4%
6 116
 
2.7%
9 114
 
2.7%
Other values (3) 115
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4249
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 876
20.6%
1 750
17.7%
- 700
16.5%
0 568
13.4%
2 287
 
6.8%
8 277
 
6.5%
7 261
 
6.1%
3 185
 
4.4%
6 116
 
2.7%
9 114
 
2.7%
Other values (3) 115
 
2.7%

Interactions

2024-03-15T00:11:54.017108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:12:04.137750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.595
의료기관종별0.5951.000
2024-03-15T00:12:04.361864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.335
의료기관종별0.3351.000

Missing values

2024-03-15T00:11:54.364966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:11:54.680642image/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

순번의료기관명의료기관종별주소(도로명)전화번호
01구서한방병원한방병원부산광역시 금정구 구서중앙로15번길 20, 금정산온천 레포츠 7,9층 (구서동)051-517-7500
12지온병원병원부산광역시 금정구 온천장로 146, 지하1,지상3~11층 (장전동)051-714-5770
23금정어린이병원병원부산광역시 금정구 금정로 244, 2~5층 (구서동)051-967-5225
34화창한병원병원부산광역시 금정구 중앙대로1685번길 12, 지하2~6층 (부곡동)051-514-9119
45단골병원병원부산광역시 금정구 중앙대로 1829, 5~10, 14층 12~13층 일부호 (구서동)051-582-0100
56의료법인세왕의료재단 세왕요양병원요양병원(일반요양병원)부산광역시 금정구 식물원로9번길 37 (장전동)051-468-9700
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