Overview

Dataset statistics

Number of variables10
Number of observations586
Missing cells170
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.6 KiB
Average record size in memory83.2 B

Variable types

Numeric3
Text4
Categorical3

Dataset

Description대구광역시 북구 관내에 운영중인 병의원 (의료기관명, 업무상태, 소재지도로명주소, 소재지지번주소, 대표전화 등) 정보를 제공합니다.
Author대구광역시 북구
URLhttps://www.data.go.kr/data/15025621/fileData.do

Alerts

업무상태 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
의료기관행정동주소 has 170 (29.0%) missing valuesMissing
순번 has unique valuesUnique
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:58:13.186980
Analysis finished2023-12-11 22:58:15.390535
Duration2.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct586
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean293.5
Minimum1
Maximum586
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2023-12-12T07:58:15.485753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile30.25
Q1147.25
median293.5
Q3439.75
95-th percentile556.75
Maximum586
Range585
Interquartile range (IQR)292.5

Descriptive statistics

Standard deviation169.3079
Coefficient of variation (CV)0.57685828
Kurtosis-1.2
Mean293.5
Median Absolute Deviation (MAD)146.5
Skewness0
Sum171991
Variance28665.167
MonotonicityStrictly increasing
2023-12-12T07:58:15.652954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
404 1
 
0.2%
388 1
 
0.2%
389 1
 
0.2%
390 1
 
0.2%
391 1
 
0.2%
392 1
 
0.2%
393 1
 
0.2%
394 1
 
0.2%
395 1
 
0.2%
Other values (576) 576
98.3%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
586 1
0.2%
585 1
0.2%
584 1
0.2%
583 1
0.2%
582 1
0.2%
581 1
0.2%
580 1
0.2%
579 1
0.2%
578 1
0.2%
577 1
0.2%

의료기관명
Text

UNIQUE 

Distinct586
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-12T07:58:15.987484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.5665529
Min length3

Characters and Unicode

Total characters4434
Distinct characters314
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique586 ?
Unique (%)100.0%

Sample

1st row온유한의원
2nd row대구탑내과의원
3rd row부경에스치과의원
4th row바른우리치과의원
5th row용한의원
ValueCountFrequency (%)
의료법인 4
 
0.7%
효민의료재단 2
 
0.3%
대구병원 2
 
0.3%
온유한의원 1
 
0.2%
칠곡한빛치과의원 1
 
0.2%
준이비인후과의원 1
 
0.2%
칠곡제일한의원 1
 
0.2%
새빛안과의원 1
 
0.2%
검단한의원 1
 
0.2%
다정한치과의원 1
 
0.2%
Other values (590) 590
97.5%
2023-12-12T07:58:16.489632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
605
 
13.6%
586
 
13.2%
372
 
8.4%
163
 
3.7%
151
 
3.4%
80
 
1.8%
78
 
1.8%
67
 
1.5%
59
 
1.3%
56
 
1.3%
Other values (304) 2217
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4380
98.8%
Decimal Number 20
 
0.5%
Space Separator 19
 
0.4%
Uppercase Letter 6
 
0.1%
Dash Punctuation 3
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
605
 
13.8%
586
 
13.4%
372
 
8.5%
163
 
3.7%
151
 
3.4%
80
 
1.8%
78
 
1.8%
67
 
1.5%
59
 
1.3%
56
 
1.3%
Other values (287) 2163
49.4%
Decimal Number
ValueCountFrequency (%)
3 6
30.0%
5 5
25.0%
6 5
25.0%
0 2
 
10.0%
8 1
 
5.0%
2 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
A 1
16.7%
K 1
16.7%
J 1
16.7%
M 1
16.7%
Space Separator
ValueCountFrequency (%)
19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4380
98.8%
Common 47
 
1.1%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
605
 
13.8%
586
 
13.4%
372
 
8.5%
163
 
3.7%
151
 
3.4%
80
 
1.8%
78
 
1.8%
67
 
1.5%
59
 
1.3%
56
 
1.3%
Other values (287) 2163
49.4%
Common
ValueCountFrequency (%)
19
40.4%
3 6
 
12.8%
5 5
 
10.6%
6 5
 
10.6%
- 3
 
6.4%
0 2
 
4.3%
( 2
 
4.3%
) 2
 
4.3%
, 1
 
2.1%
8 1
 
2.1%
Latin
ValueCountFrequency (%)
S 2
28.6%
A 1
14.3%
K 1
14.3%
J 1
14.3%
e 1
14.3%
M 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4380
98.8%
ASCII 54
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
605
 
13.8%
586
 
13.4%
372
 
8.5%
163
 
3.7%
151
 
3.4%
80
 
1.8%
78
 
1.8%
67
 
1.5%
59
 
1.3%
56
 
1.3%
Other values (287) 2163
49.4%
ASCII
ValueCountFrequency (%)
19
35.2%
3 6
 
11.1%
5 5
 
9.3%
6 5
 
9.3%
- 3
 
5.6%
0 2
 
3.7%
( 2
 
3.7%
S 2
 
3.7%
) 2
 
3.7%
A 1
 
1.9%
Other values (7) 7
 
13.0%

허가종별
Categorical

Distinct11
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
의원
265 
치과의원
149 
한의원
128 
병원
 
21
요양병원(일반요양병원)
 
12
Other values (6)
 
11

Length

Max length12
Median length4
Mean length2.9675768
Min length2

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row한의원
2nd row의원
3rd row치과의원
4th row치과의원
5th row한의원

Common Values

ValueCountFrequency (%)
의원 265
45.2%
치과의원 149
25.4%
한의원 128
21.8%
병원 21
 
3.6%
요양병원(일반요양병원) 12
 
2.0%
한방병원 3
 
0.5%
정신병원 3
 
0.5%
종합병원 2
 
0.3%
보건지소 1
 
0.2%
보건소 1
 
0.2%

Length

2023-12-12T07:58:16.668536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의원 265
45.2%
치과의원 149
25.4%
한의원 128
21.8%
병원 21
 
3.6%
요양병원(일반요양병원 12
 
2.0%
한방병원 3
 
0.5%
정신병원 3
 
0.5%
종합병원 2
 
0.3%
보건지소 1
 
0.2%
보건소 1
 
0.2%

업무상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
영업중
586 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 586
100.0%

Length

2023-12-12T07:58:16.817091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:58:16.946618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 586
100.0%
Distinct549
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-12T07:58:17.278349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length28.957338
Min length20

Characters and Unicode

Total characters16969
Distinct characters211
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

Unique518 ?
Unique (%)88.4%

Sample

1st row대구광역시 북구 호국로 225, 3층 (서변동)
2nd row대구광역시 북구 학정로 415, 메가타운 2층 204호 (동천동)
3rd row대구광역시 북구 옥산로 95, 화인탑펠리스 402호 (칠성동2가)
4th row대구광역시 북구 칠곡중앙대로 295, 1~2층 (태전동)
5th row대구광역시 북구 연암로 139, 1층 (산격동)
ValueCountFrequency (%)
대구광역시 586
 
16.4%
북구 586
 
16.4%
2층 111
 
3.1%
칠곡중앙대로 83
 
2.3%
동천동 78
 
2.2%
3층 72
 
2.0%
산격동 72
 
2.0%
동북로 69
 
1.9%
태전동 66
 
1.8%
침산동 62
 
1.7%
Other values (597) 1790
50.1%
2023-12-12T07:58:17.891295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2992
 
17.6%
1232
 
7.3%
829
 
4.9%
767
 
4.5%
659
 
3.9%
599
 
3.5%
591
 
3.5%
) 588
 
3.5%
588
 
3.5%
( 588
 
3.5%
Other values (201) 7536
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9450
55.7%
Space Separator 2992
 
17.6%
Decimal Number 2711
 
16.0%
Close Punctuation 589
 
3.5%
Open Punctuation 589
 
3.5%
Other Punctuation 552
 
3.3%
Dash Punctuation 36
 
0.2%
Math Symbol 32
 
0.2%
Uppercase Letter 15
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1232
13.0%
829
 
8.8%
767
 
8.1%
659
 
7.0%
599
 
6.3%
591
 
6.3%
588
 
6.2%
587
 
6.2%
366
 
3.9%
217
 
2.3%
Other values (170) 3015
31.9%
Decimal Number
ValueCountFrequency (%)
1 516
19.0%
2 509
18.8%
3 378
13.9%
4 329
12.1%
0 282
10.4%
5 207
7.6%
6 142
 
5.2%
9 129
 
4.8%
7 112
 
4.1%
8 107
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
26.7%
D 3
20.0%
A 1
 
6.7%
S 1
 
6.7%
M 1
 
6.7%
K 1
 
6.7%
C 1
 
6.7%
N 1
 
6.7%
L 1
 
6.7%
U 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
p 1
33.3%
a 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 588
99.8%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 588
99.8%
[ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2992
100.0%
Other Punctuation
ValueCountFrequency (%)
, 552
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9450
55.7%
Common 7501
44.2%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1232
13.0%
829
 
8.8%
767
 
8.1%
659
 
7.0%
599
 
6.3%
591
 
6.3%
588
 
6.2%
587
 
6.2%
366
 
3.9%
217
 
2.3%
Other values (170) 3015
31.9%
Common
ValueCountFrequency (%)
2992
39.9%
) 588
 
7.8%
( 588
 
7.8%
, 552
 
7.4%
1 516
 
6.9%
2 509
 
6.8%
3 378
 
5.0%
4 329
 
4.4%
0 282
 
3.8%
5 207
 
2.8%
Other values (8) 560
 
7.5%
Latin
ValueCountFrequency (%)
B 4
22.2%
D 3
16.7%
A 1
 
5.6%
S 1
 
5.6%
M 1
 
5.6%
t 1
 
5.6%
K 1
 
5.6%
C 1
 
5.6%
p 1
 
5.6%
a 1
 
5.6%
Other values (3) 3
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9450
55.7%
ASCII 7519
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2992
39.8%
) 588
 
7.8%
( 588
 
7.8%
, 552
 
7.3%
1 516
 
6.9%
2 509
 
6.8%
3 378
 
5.0%
4 329
 
4.4%
0 282
 
3.8%
5 207
 
2.8%
Other values (21) 578
 
7.7%
Hangul
ValueCountFrequency (%)
1232
13.0%
829
 
8.8%
767
 
8.1%
659
 
7.0%
599
 
6.3%
591
 
6.3%
588
 
6.2%
587
 
6.2%
366
 
3.9%
217
 
2.3%
Other values (170) 3015
31.9%
Distinct402
Distinct (%)96.6%
Missing170
Missing (%)29.0%
Memory size4.7 KiB
2023-12-12T07:58:18.247680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length27.540865
Min length19

Characters and Unicode

Total characters11457
Distinct characters170
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique391 ?
Unique (%)94.0%

Sample

1st row대구광역시 북구 무태조야동 1783번지 6호
2nd row대구광역시 북구 동천동 912번지 3호 메가타운
3rd row대구광역시 북구 칠성동 90번지 화인탑펠리스
4th row대구광역시 북구 태전1동 149번지
5th row대구광역시 북구 산격1동 799번지 2호
ValueCountFrequency (%)
대구광역시 416
 
17.0%
북구 416
 
17.0%
2층 74
 
3.0%
1호 57
 
2.3%
동천동 50
 
2.0%
3층 46
 
1.9%
2호 41
 
1.7%
3호 37
 
1.5%
4호 35
 
1.4%
침산2동 31
 
1.3%
Other values (428) 1240
50.8%
2023-12-12T07:58:18.792951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2391
20.9%
856
 
7.5%
2 496
 
4.3%
479
 
4.2%
451
 
3.9%
1 442
 
3.9%
430
 
3.8%
419
 
3.7%
418
 
3.6%
418
 
3.6%
Other values (160) 4657
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6221
54.3%
Decimal Number 2611
22.8%
Space Separator 2391
 
20.9%
Other Punctuation 74
 
0.6%
Open Punctuation 62
 
0.5%
Close Punctuation 62
 
0.5%
Math Symbol 19
 
0.2%
Uppercase Letter 13
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
856
13.8%
479
 
7.7%
451
 
7.2%
430
 
6.9%
419
 
6.7%
418
 
6.7%
418
 
6.7%
418
 
6.7%
417
 
6.7%
389
 
6.3%
Other values (135) 1526
24.5%
Decimal Number
ValueCountFrequency (%)
2 496
19.0%
1 442
16.9%
3 359
13.7%
0 255
9.8%
4 228
8.7%
6 188
 
7.2%
5 179
 
6.9%
7 172
 
6.6%
9 161
 
6.2%
8 131
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
30.8%
U 2
15.4%
D 2
15.4%
N 1
 
7.7%
S 1
 
7.7%
K 1
 
7.7%
M 1
 
7.7%
L 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 73
98.6%
. 1
 
1.4%
Space Separator
ValueCountFrequency (%)
2391
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6221
54.3%
Common 5223
45.6%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
856
13.8%
479
 
7.7%
451
 
7.2%
430
 
6.9%
419
 
6.7%
418
 
6.7%
418
 
6.7%
418
 
6.7%
417
 
6.7%
389
 
6.3%
Other values (135) 1526
24.5%
Common
ValueCountFrequency (%)
2391
45.8%
2 496
 
9.5%
1 442
 
8.5%
3 359
 
6.9%
0 255
 
4.9%
4 228
 
4.4%
6 188
 
3.6%
5 179
 
3.4%
7 172
 
3.3%
9 161
 
3.1%
Other values (7) 352
 
6.7%
Latin
ValueCountFrequency (%)
B 4
30.8%
U 2
15.4%
D 2
15.4%
N 1
 
7.7%
S 1
 
7.7%
K 1
 
7.7%
M 1
 
7.7%
L 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6221
54.3%
ASCII 5236
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2391
45.7%
2 496
 
9.5%
1 442
 
8.4%
3 359
 
6.9%
0 255
 
4.9%
4 228
 
4.4%
6 188
 
3.6%
5 179
 
3.4%
7 172
 
3.3%
9 161
 
3.1%
Other values (15) 365
 
7.0%
Hangul
ValueCountFrequency (%)
856
13.8%
479
 
7.7%
451
 
7.2%
430
 
6.9%
419
 
6.7%
418
 
6.7%
418
 
6.7%
418
 
6.7%
417
 
6.7%
389
 
6.3%
Other values (135) 1526
24.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct373
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.911182
Minimum35.874551
Maximum35.95893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2023-12-12T07:58:18.963602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.874551
5-th percentile35.880023
Q135.889237
median35.8995
Q335.935138
95-th percentile35.943885
Maximum35.95893
Range0.08437883
Interquartile range (IQR)0.04590146

Descriptive statistics

Standard deviation0.023753713
Coefficient of variation (CV)0.0006614573
Kurtosis-1.5350037
Mean35.911182
Median Absolute Deviation (MAD)0.018408
Skewness0.2018773
Sum21043.953
Variance0.0005642389
MonotonicityNot monotonic
2023-12-12T07:58:19.132809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.89891339 10
 
1.7%
35.8888084 8
 
1.4%
35.93179495 6
 
1.0%
35.89890066 6
 
1.0%
35.88784566 6
 
1.0%
35.94211181 5
 
0.9%
35.887663 5
 
0.9%
35.89905021 5
 
0.9%
35.94184552 5
 
0.9%
35.89277808 5
 
0.9%
Other values (363) 525
89.6%
ValueCountFrequency (%)
35.87455132 1
 
0.2%
35.87525907 4
0.7%
35.87532371 3
0.5%
35.87535673 1
 
0.2%
35.8759283 1
 
0.2%
35.87593896 1
 
0.2%
35.87623359 1
 
0.2%
35.8762827 1
 
0.2%
35.87656655 2
0.3%
35.87697957 1
 
0.2%
ValueCountFrequency (%)
35.95893015 1
0.2%
35.95614602 1
0.2%
35.95239391 1
0.2%
35.95236254 1
0.2%
35.95201747 1
0.2%
35.951967 1
0.2%
35.95174724 1
0.2%
35.95082607 1
0.2%
35.94834607 1
0.2%
35.9482811 1
0.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct372
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57901
Minimum128.50985
Maximum128.62814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2023-12-12T07:58:19.283307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.50985
5-th percentile128.54605
Q1128.55571
median128.57507
Q3128.60531
95-th percentile128.61967
Maximum128.62814
Range0.1182909
Interquartile range (IQR)0.049603675

Descriptive statistics

Standard deviation0.027411847
Coefficient of variation (CV)0.00021319069
Kurtosis-1.0245416
Mean128.57901
Median Absolute Deviation (MAD)0.02458295
Skewness-0.071968102
Sum75347.299
Variance0.00075140937
MonotonicityNot monotonic
2023-12-12T07:58:19.446475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.612519 10
 
1.7%
128.5918725 8
 
1.4%
128.5486077 6
 
1.0%
128.6112316 6
 
1.0%
128.5922773 6
 
1.0%
128.5918422 5
 
0.9%
128.5630466 5
 
0.9%
128.5638106 5
 
0.9%
128.5633389 5
 
0.9%
128.6221597 5
 
0.9%
Other values (362) 525
89.6%
ValueCountFrequency (%)
128.5098497 1
 
0.2%
128.5098593 1
 
0.2%
128.5098975 4
0.7%
128.510339 1
 
0.2%
128.5106377 1
 
0.2%
128.5145282 1
 
0.2%
128.5145507 2
0.3%
128.5149757 1
 
0.2%
128.5420954 1
 
0.2%
128.5426126 1
 
0.2%
ValueCountFrequency (%)
128.6281406 1
 
0.2%
128.627348 2
 
0.3%
128.6257161 1
 
0.2%
128.623981 1
 
0.2%
128.6229899 1
 
0.2%
128.6226033 2
 
0.3%
128.622448 3
0.5%
128.622295 1
 
0.2%
128.6221597 5
0.9%
128.6220632 1
 
0.2%
Distinct585
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-12T07:58:19.755190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.003413
Min length12

Characters and Unicode

Total characters7034
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

Unique584 ?
Unique (%)99.7%

Sample

1st row053-952-1075
2nd row053-311-0011
3rd row053-716-0279
4th row053-325-7775
5th row053-944-8884
ValueCountFrequency (%)
053-951-9119 2
 
0.3%
053-322-7682 1
 
0.2%
053-326-7200 1
 
0.2%
053-953-7582 1
 
0.2%
053-326-2822 1
 
0.2%
053-424-1275 1
 
0.2%
053-354-7582 1
 
0.2%
053-325-7970 1
 
0.2%
053-322-1901 1
 
0.2%
053-383-1800 1
 
0.2%
Other values (575) 575
98.1%
2023-12-12T07:58:20.221936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1218
17.3%
3 1205
17.1%
- 1172
16.7%
0 1018
14.5%
2 551
7.8%
7 420
 
6.0%
1 411
 
5.8%
8 316
 
4.5%
9 298
 
4.2%
4 218
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5862
83.3%
Dash Punctuation 1172
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1218
20.8%
3 1205
20.6%
0 1018
17.4%
2 551
9.4%
7 420
 
7.2%
1 411
 
7.0%
8 316
 
5.4%
9 298
 
5.1%
4 218
 
3.7%
6 207
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 1172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7034
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1218
17.3%
3 1205
17.1%
- 1172
16.7%
0 1018
14.5%
2 551
7.8%
7 420
 
6.0%
1 411
 
5.8%
8 316
 
4.5%
9 298
 
4.2%
4 218
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7034
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1218
17.3%
3 1205
17.1%
- 1172
16.7%
0 1018
14.5%
2 551
7.8%
7 420
 
6.0%
1 411
 
5.8%
8 316
 
4.5%
9 298
 
4.2%
4 218
 
3.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-07-31
586 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-31
2nd row2023-07-31
3rd row2023-07-31
4th row2023-07-31
5th row2023-07-31

Common Values

ValueCountFrequency (%)
2023-07-31 586
100.0%

Length

2023-12-12T07:58:20.430830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:58:20.575352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-31 586
100.0%

Interactions

2023-12-12T07:58:14.762091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:58:13.785086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:58:14.136444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:58:14.878933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:58:13.910549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:58:14.554746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:58:14.981062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:58:14.020546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:58:14.661104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:58:20.651813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번허가종별위도경도
순번1.0000.5310.4310.317
허가종별0.5311.0000.0940.000
위도0.4310.0941.0000.777
경도0.3170.0000.7771.000
2023-12-12T07:58:20.766138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도허가종별
순번1.000-0.0560.0380.259
위도-0.0561.000-0.5130.039
경도0.038-0.5131.0000.000
허가종별0.2590.0390.0001.000

Missing values

2023-12-12T07:58:15.129878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:58:15.315025image/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

순번의료기관명허가종별업무상태의료기관주소(도로명)의료기관행정동주소위도경도대표전화데이터기준일자
01온유한의원한의원영업중대구광역시 북구 호국로 225, 3층 (서변동)대구광역시 북구 무태조야동 1783번지 6호35.921902128.599023053-952-10752023-07-31
12대구탑내과의원의원영업중대구광역시 북구 학정로 415, 메가타운 2층 204호 (동천동)대구광역시 북구 동천동 912번지 3호 메가타운35.941846128.562984053-311-00112023-07-31
23부경에스치과의원치과의원영업중대구광역시 북구 옥산로 95, 화인탑펠리스 402호 (칠성동2가)대구광역시 북구 칠성동 90번지 화인탑펠리스35.884634128.585934053-716-02792023-07-31
34바른우리치과의원치과의원영업중대구광역시 북구 칠곡중앙대로 295, 1~2층 (태전동)대구광역시 북구 태전1동 149번지35.92207128.546353053-325-77752023-07-31
45용한의원한의원영업중대구광역시 북구 연암로 139, 1층 (산격동)대구광역시 북구 산격1동 799번지 2호35.896955128.594991053-944-88842023-07-31
56연경손길한의원한의원영업중대구광역시 북구 동화천로 225, 3층 301호 (연경동)<NA>35.942319128.615715053-716-10762023-07-31
67바로치과의원치과의원영업중대구광역시 북구 동북로 244, 6층 601호~603호 (복현동)대구광역시 북구 복현1동 426번지 7호35.895242128.617511053-957-85852023-07-31
78브이웰마취통증의학과의원의원영업중대구광역시 북구 동북로 244, 2층 (복현동)대구광역시 북구 복현1동 426번지 7호35.895242128.617511053-956-48862023-07-31
89마리엘산부인과의원의원영업중대구광역시 북구 침산로 138, 명성프라임 205호 (침산동)대구광역시 북구 침산2동 285번지 5호 명성프라임 20535.888808128.591872053-358-75532023-07-31
910도남연세치과의원치과의원영업중대구광역시 북구 도남중앙로7길 2, 도남지구 22B-1L 203호,204호 (국우동)대구광역시 북구 국우동 0번지 도남지구 22B-1L35.951967128.583257053-314-22882023-07-31
순번의료기관명허가종별업무상태의료기관주소(도로명)의료기관행정동주소위도경도대표전화데이터기준일자
576577강북요양병원요양병원(일반요양병원)영업중대구광역시 북구 칠곡중앙대로 504-6 (읍내동)대구광역시 북구 읍내동 952번지35.939895128.550764053-313-60062023-07-31
577578대구시티병원병원영업중대구광역시 북구 동북로 270 (복현동)<NA>35.893505128.619575053-959-71142023-07-31
578579대구병원병원영업중대구광역시 북구 칠곡중앙대로 194 (태전동)대구광역시 북구 태전2동 796번지 3호35.913281128.548769053-311-20012023-07-31
579580대구가톨릭대학교 칠곡가톨릭병원종합병원영업중대구광역시 북구 칠곡중앙대로 440 (읍내동)<NA>35.934917128.549291053-320-25002023-07-31
580581M병원정신병원영업중대구광역시 북구 팔달로 147 (노원동3가)대구광역시 북구 노원동 762번지35.889433128.566198053-359-37712023-07-31
581582한성병원병원영업중대구광역시 북구 칠성남로30길 28 (칠성동2가)대구광역시 북구 칠성동 302번지 112호35.876283128.597892053-422-31142023-07-31
582583대구삼선병원병원영업중대구광역시 북구 칠곡중앙대로 448 (읍내동)<NA>35.93565128.549227053-326-75752023-07-31
583584성동병원정신병원영업중대구광역시 북구 칠곡중앙대로99길 21 (관음동)<NA>35.94087128.547531053-325-00092023-07-31
584585의료법인배성의료재단 배성병원정신병원영업중대구광역시 북구 검단로 140 (검단동)<NA>35.908127128.622295053-383-27002023-07-31
585586신세계병원병원영업중대구광역시 북구 동북로 196 (산격동)대구광역시 북구 산격3동 1287번지 4호35.897842128.61361053-954-77712023-07-31