Overview

Dataset statistics

Number of variables8
Number of observations2266
Missing cells380
Missing cells (%)2.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory148.4 KiB
Average record size in memory67.1 B

Variable types

Numeric3
Categorical2
Text3

Dataset

Description충청북도 청주시 의료시설 현황 데이터로 연번, 의료시설 구분, 기관명, 소재지, 위도, 경도, 전화번호, 데이터기준일을 제공합니다.
Author충청북도 청주시
URLhttps://www.data.go.kr/data/15110848/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 연번High correlation
전화번호 has 376 (16.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:31:30.715658
Analysis finished2023-12-12 12:31:33.341232
Duration2.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2266
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1133.5
Minimum1
Maximum2266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-12T21:31:33.423866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile114.25
Q1567.25
median1133.5
Q31699.75
95-th percentile2152.75
Maximum2266
Range2265
Interquartile range (IQR)1132.5

Descriptive statistics

Standard deviation654.28218
Coefficient of variation (CV)0.57722292
Kurtosis-1.2
Mean1133.5
Median Absolute Deviation (MAD)566.5
Skewness0
Sum2568511
Variance428085.17
MonotonicityStrictly increasing
2023-12-12T21:31:33.579495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1515 1
 
< 0.1%
1509 1
 
< 0.1%
1510 1
 
< 0.1%
1511 1
 
< 0.1%
1512 1
 
< 0.1%
1513 1
 
< 0.1%
1514 1
 
< 0.1%
1516 1
 
< 0.1%
1507 1
 
< 0.1%
Other values (2256) 2256
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2266 1
< 0.1%
2265 1
< 0.1%
2264 1
< 0.1%
2263 1
< 0.1%
2262 1
< 0.1%
2261 1
< 0.1%
2260 1
< 0.1%
2259 1
< 0.1%
2258 1
< 0.1%
2257 1
< 0.1%

의료시설구분
Categorical

Distinct22
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
안전상비의약품
727 
의원
506 
약국
371 
치과의원
263 
한의원
230 
Other values (17)
169 

Length

Max length12
Median length8
Mean length4.1218005
Min length2

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
안전상비의약품 727
32.1%
의원 506
22.3%
약국 371
16.4%
치과의원 263
 
11.6%
한의원 230
 
10.2%
일반종합도매 43
 
1.9%
병원 23
 
1.0%
한약방 22
 
1.0%
한약국 13
 
0.6%
요양병원 12
 
0.5%
Other values (12) 56
 
2.5%

Length

2023-12-12T21:31:33.762773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안전상비의약품 727
32.0%
의원 506
22.3%
약국 371
16.3%
치과의원 263
 
11.6%
한의원 230
 
10.1%
일반종합도매 43
 
1.9%
병원 23
 
1.0%
한약방 22
 
1.0%
한약국 13
 
0.6%
요양병원 12
 
0.5%
Other values (13) 64
 
2.8%

기관명
Text

Distinct2231
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2023-12-12T21:31:34.082872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length8.0666372
Min length3

Characters and Unicode

Total characters18279
Distinct characters502
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2197 ?
Unique (%)97.0%

Sample

1st row남궁요양병원
2nd row예사랑병원
3rd row주사랑병원
4th row웰니스어린이병원
5th row마디사랑병원
ValueCountFrequency (%)
씨유 86
 
3.2%
세븐일레븐 67
 
2.5%
gs25 54
 
2.0%
주)코리아세븐 31
 
1.2%
미니스톱 23
 
0.9%
지에스25 22
 
0.8%
이마트24 10
 
0.4%
지에스(gs)25 8
 
0.3%
주식회사 6
 
0.2%
청주 6
 
0.2%
Other values (2262) 2347
88.2%
2023-12-12T21:31:35.098998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 1180
 
6.5%
의 1130
 
6.2%
점 687
 
3.8%
과 671
 
3.7%
주 619
 
3.4%
청 583
 
3.2%
약 438
 
2.4%
국 401
 
2.2%
394
 
2.2%
한 368
 
2.0%
Other values (492) 11808
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16596
90.8%
Decimal Number 572
 
3.1%
Uppercase Letter 438
 
2.4%
Space Separator 394
 
2.2%
Close Punctuation 134
 
0.7%
Open Punctuation 132
 
0.7%
Other Punctuation 8
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1180
 
7.1%
의 1130
 
6.8%
점 687
 
4.1%
과 671
 
4.0%
주 619
 
3.7%
청 583
 
3.5%
약 438
 
2.6%
국 401
 
2.4%
한 368
 
2.2%
유 281
 
1.7%
Other values (461) 10238
61.7%
Uppercase Letter
ValueCountFrequency (%)
S 178
40.6%
G 176
40.2%
C 34
 
7.8%
U 28
 
6.4%
I 5
 
1.1%
L 4
 
0.9%
K 3
 
0.7%
B 2
 
0.5%
A 2
 
0.5%
D 2
 
0.5%
Other values (3) 4
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 275
48.1%
5 245
42.8%
4 28
 
4.9%
3 10
 
1.7%
1 6
 
1.0%
6 5
 
0.9%
0 2
 
0.3%
8 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 4
50.0%
, 2
25.0%
& 1
 
12.5%
· 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
60.0%
h 1
 
20.0%
t 1
 
20.0%
Space Separator
ValueCountFrequency (%)
394
100.0%
Close Punctuation
ValueCountFrequency (%)
) 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16596
90.8%
Common 1240
 
6.8%
Latin 443
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1180
 
7.1%
의 1130
 
6.8%
점 687
 
4.1%
과 671
 
4.0%
주 619
 
3.7%
청 583
 
3.5%
약 438
 
2.6%
국 401
 
2.4%
한 368
 
2.2%
유 281
 
1.7%
Other values (461) 10238
61.7%
Latin
ValueCountFrequency (%)
S 178
40.2%
G 176
39.7%
C 34
 
7.7%
U 28
 
6.3%
I 5
 
1.1%
L 4
 
0.9%
K 3
 
0.7%
e 3
 
0.7%
B 2
 
0.5%
A 2
 
0.5%
Other values (6) 8
 
1.8%
Common
ValueCountFrequency (%)
394
31.8%
2 275
22.2%
5 245
19.8%
) 134
 
10.8%
( 132
 
10.6%
4 28
 
2.3%
3 10
 
0.8%
1 6
 
0.5%
6 5
 
0.4%
. 4
 
0.3%
Other values (5) 7
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16596
90.8%
ASCII 1682
 
9.2%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 1180
 
7.1%
의 1130
 
6.8%
점 687
 
4.1%
과 671
 
4.0%
주 619
 
3.7%
청 583
 
3.5%
약 438
 
2.6%
국 401
 
2.4%
한 368
 
2.2%
유 281
 
1.7%
Other values (461) 10238
61.7%
ASCII
ValueCountFrequency (%)
394
23.4%
2 275
16.3%
5 245
14.6%
S 178
10.6%
G 176
10.5%
) 134
 
8.0%
( 132
 
7.8%
C 34
 
2.0%
4 28
 
1.7%
U 28
 
1.7%
Other values (20) 58
 
3.4%
None
ValueCountFrequency (%)
· 1
100.0%

기관 소재지
Text

Distinct2175
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2023-12-12T21:31:35.492063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length55
Mean length32.188438
Min length19

Characters and Unicode

Total characters72939
Distinct characters386
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2094 ?
Unique (%)92.4%

Sample

1st row충청북도 청주시 상당구 상당로 47, 2.3층 (남문로2가)
2nd row충청북도 청주시 상당구 목련로 64 (운동동)
3rd row충청북도 청주시 상당구 가덕면 보청대로 4673-61
4th row충청북도 청주시 상당구 2순환로2031번길 6-20 (방서동)
5th row충청북도 청주시 상당구 상당로 112 (북문로2가)
ValueCountFrequency (%)
청주시 2266
 
14.5%
충청북도 2182
 
13.9%
흥덕구 771
 
4.9%
상당구 521
 
3.3%
청원구 509
 
3.3%
서원구 465
 
3.0%
복대동 250
 
1.6%
1층 250
 
1.6%
2층 248
 
1.6%
가경동 165
 
1.1%
Other values (1975) 8027
51.3%
2023-12-12T21:31:36.072466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13415
 
18.4%
청 5150
 
7.1%
1 2645
 
3.6%
주 2406
 
3.3%
시 2312
 
3.2%
구 2312
 
3.2%
충 2295
 
3.1%
로 2279
 
3.1%
북 2248
 
3.1%
도 2201
 
3.0%
Other values (376) 35676
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42793
58.7%
Space Separator 13415
 
18.4%
Decimal Number 10496
 
14.4%
Close Punctuation 1996
 
2.7%
Open Punctuation 1996
 
2.7%
Other Punctuation 1747
 
2.4%
Dash Punctuation 346
 
0.5%
Uppercase Letter 106
 
0.1%
Math Symbol 41
 
0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 5150
 
12.0%
주 2406
 
5.6%
시 2312
 
5.4%
구 2312
 
5.4%
충 2295
 
5.4%
로 2279
 
5.3%
북 2248
 
5.3%
도 2201
 
5.1%
동 2031
 
4.7%
원 1058
 
2.5%
Other values (336) 18501
43.2%
Uppercase Letter
ValueCountFrequency (%)
K 17
16.0%
M 14
13.2%
A 11
10.4%
S 11
10.4%
L 10
9.4%
D 10
9.4%
B 8
7.5%
J 4
 
3.8%
H 4
 
3.8%
P 2
 
1.9%
Other values (9) 15
14.2%
Decimal Number
ValueCountFrequency (%)
1 2645
25.2%
2 1797
17.1%
3 1260
12.0%
0 1153
11.0%
4 819
 
7.8%
5 685
 
6.5%
6 673
 
6.4%
7 579
 
5.5%
9 462
 
4.4%
8 423
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1735
99.3%
. 8
 
0.5%
& 2
 
0.1%
/ 2
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
13415
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1996
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1996
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 346
100.0%
Math Symbol
ValueCountFrequency (%)
~ 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42793
58.7%
Common 30037
41.2%
Latin 109
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 5150
 
12.0%
주 2406
 
5.6%
시 2312
 
5.4%
구 2312
 
5.4%
충 2295
 
5.4%
로 2279
 
5.3%
북 2248
 
5.3%
도 2201
 
5.1%
동 2031
 
4.7%
원 1058
 
2.5%
Other values (336) 18501
43.2%
Latin
ValueCountFrequency (%)
K 17
15.6%
M 14
12.8%
A 11
10.1%
S 11
10.1%
L 10
9.2%
D 10
9.2%
B 8
7.3%
J 4
 
3.7%
H 4
 
3.7%
P 2
 
1.8%
Other values (11) 18
16.5%
Common
ValueCountFrequency (%)
13415
44.7%
1 2645
 
8.8%
) 1996
 
6.6%
( 1996
 
6.6%
2 1797
 
6.0%
, 1735
 
5.8%
3 1260
 
4.2%
0 1153
 
3.8%
4 819
 
2.7%
5 685
 
2.3%
Other values (9) 2536
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42793
58.7%
ASCII 30143
41.3%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13415
44.5%
1 2645
 
8.8%
) 1996
 
6.6%
( 1996
 
6.6%
2 1797
 
6.0%
, 1735
 
5.8%
3 1260
 
4.2%
0 1153
 
3.8%
4 819
 
2.7%
5 685
 
2.3%
Other values (28) 2642
 
8.8%
Hangul
ValueCountFrequency (%)
청 5150
 
12.0%
주 2406
 
5.6%
시 2312
 
5.4%
구 2312
 
5.4%
충 2295
 
5.4%
로 2279
 
5.3%
북 2248
 
5.3%
도 2201
 
5.1%
동 2031
 
4.7%
원 1058
 
2.5%
Other values (336) 18501
43.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%

위도
Real number (ℝ)

Distinct1515
Distinct (%)66.9%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean36.636536
Minimum35.127595
Maximum36.758347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-12T21:31:36.268759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.127595
5-th percentile36.608268
Q136.622028
median36.632488
Q336.649515
95-th percentile36.711382
Maximum36.758347
Range1.6307511
Interquartile range (IQR)0.027487675

Descriptive statistics

Standard deviation0.0669331
Coefficient of variation (CV)0.0018269495
Kurtosis348.13918
Mean36.636536
Median Absolute Deviation (MAD)0.01225635
Skewness-16.443791
Sum82945.117
Variance0.0044800399
MonotonicityNot monotonic
2023-12-12T21:31:36.450725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.643276 48
 
2.1%
36.6700568 17
 
0.8%
36.6252363 17
 
0.8%
36.6481582 15
 
0.7%
36.7422993 12
 
0.5%
36.6425331 12
 
0.5%
36.673565 11
 
0.5%
36.7113817 11
 
0.5%
36.6220306 10
 
0.4%
36.6684926 9
 
0.4%
Other values (1505) 2102
92.8%
ValueCountFrequency (%)
35.1275954 1
< 0.1%
35.2362905 1
< 0.1%
35.2420988 1
< 0.1%
35.3114225 1
< 0.1%
36.4861123 1
< 0.1%
36.4867997 1
< 0.1%
36.5005071 1
< 0.1%
36.5018203 1
< 0.1%
36.5068872 1
< 0.1%
36.5081361 1
< 0.1%
ValueCountFrequency (%)
36.7583465 3
 
0.1%
36.7472149 1
 
< 0.1%
36.7422993 12
0.5%
36.7421761 1
 
< 0.1%
36.742174 1
 
< 0.1%
36.7419807 4
 
0.2%
36.7417523 1
 
< 0.1%
36.7416287 1
 
< 0.1%
36.7414342 2
 
0.1%
36.7414195 1
 
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct1516
Distinct (%)67.0%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean127.46754
Minimum127.30973
Maximum129.18039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.0 KiB
2023-12-12T21:31:36.654850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.30973
5-th percentile127.41458
Q1127.43711
median127.46978
Q3127.49138
95-th percentile127.51466
Maximum129.18039
Range1.8706629
Interquartile range (IQR)0.054276825

Descriptive statistics

Standard deviation0.075846888
Coefficient of variation (CV)0.00059502904
Kurtosis301.3054
Mean127.46754
Median Absolute Deviation (MAD)0.0255802
Skewness14.463062
Sum288586.51
Variance0.0057527504
MonotonicityNot monotonic
2023-12-12T21:31:36.883402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.4264358 48
 
2.1%
127.4813528 17
 
0.8%
127.5091628 17
 
0.8%
127.4741805 15
 
0.7%
127.44793 12
 
0.5%
127.4545528 12
 
0.5%
127.4286693 11
 
0.5%
127.496086 11
 
0.5%
127.425844 10
 
0.4%
127.4855275 9
 
0.4%
Other values (1506) 2102
92.8%
ValueCountFrequency (%)
127.3097258 1
< 0.1%
127.3150995 1
< 0.1%
127.3160679 1
< 0.1%
127.3164467 1
< 0.1%
127.31789 1
< 0.1%
127.3185999 1
< 0.1%
127.3234627 1
< 0.1%
127.3239345 2
0.1%
127.3250904 1
< 0.1%
127.3256236 2
0.1%
ValueCountFrequency (%)
129.1803887 1
< 0.1%
129.0830823 1
< 0.1%
128.9935286 1
< 0.1%
128.6336457 1
< 0.1%
127.6584171 2
0.1%
127.6549169 1
< 0.1%
127.654564 1
< 0.1%
127.6545347 1
< 0.1%
127.6537318 2
0.1%
127.6536194 1
< 0.1%

전화번호
Text

MISSING 

Distinct1868
Distinct (%)98.8%
Missing376
Missing (%)16.6%
Memory size17.8 KiB
2023-12-12T21:31:37.192877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.993122
Min length9

Characters and Unicode

Total characters22667
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

Unique1847 ?
Unique (%)97.7%

Sample

1st row043-252-3000
2nd row043-265-7337
3rd row043-286-0692
4th row043-225-7700
5th row043-298-9988
ValueCountFrequency (%)
1644-5425 3
 
0.2%
043-295-7879 2
 
0.1%
043-236-2350 2
 
0.1%
043-268-8380 2
 
0.1%
043-237-2201 2
 
0.1%
043-275-1075 2
 
0.1%
043-287-4356 2
 
0.1%
043-210-5211 2
 
0.1%
043-297-1100 2
 
0.1%
043-256-4000 2
 
0.1%
Other values (1860) 1872
98.9%
2023-12-12T21:31:37.752229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3758
16.6%
3 3220
14.2%
0 3113
13.7%
2 3091
13.6%
4 2551
11.3%
5 1435
 
6.3%
7 1410
 
6.2%
8 1194
 
5.3%
1 1181
 
5.2%
6 952
 
4.2%
Other values (3) 762
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18904
83.4%
Dash Punctuation 3758
 
16.6%
Space Separator 3
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 3220
17.0%
0 3113
16.5%
2 3091
16.4%
4 2551
13.5%
5 1435
7.6%
7 1410
7.5%
8 1194
 
6.3%
1 1181
 
6.2%
6 952
 
5.0%
9 757
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 3758
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22667
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3758
16.6%
3 3220
14.2%
0 3113
13.7%
2 3091
13.6%
4 2551
11.3%
5 1435
 
6.3%
7 1410
 
6.2%
8 1194
 
5.3%
1 1181
 
5.2%
6 952
 
4.2%
Other values (3) 762
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22667
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3758
16.6%
3 3220
14.2%
0 3113
13.7%
2 3091
13.6%
4 2551
11.3%
5 1435
 
6.3%
7 1410
 
6.2%
8 1194
 
5.3%
1 1181
 
5.2%
6 952
 
4.2%
Other values (3) 762
 
3.4%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2022-10-31
2266 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-31
2nd row2022-10-31
3rd row2022-10-31
4th row2022-10-31
5th row2022-10-31

Common Values

ValueCountFrequency (%)
2022-10-31 2266
100.0%

Length

2023-12-12T21:31:37.946061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:31:38.070533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-31 2266
100.0%

Interactions

2023-12-12T21:31:32.523757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:31:31.698193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:31:32.103167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:31:32.648025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:31:31.828754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:31:32.240602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:31:32.790905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:31:31.965470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:31:32.387555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:31:38.157092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번의료시설구분위도경도
연번1.0000.6970.1290.551
의료시설구분0.6971.0000.1980.000
위도0.1290.1981.0000.912
경도0.5510.0000.9121.000
2023-12-12T21:31:38.277579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도의료시설구분
연번1.0000.335-0.7180.342
위도0.3351.000-0.1200.106
경도-0.718-0.1201.0000.000
의료시설구분0.3420.1060.0001.000

Missing values

2023-12-12T21:31:32.968539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:31:33.135002image/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.
2023-12-12T21:31:33.270056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번의료시설구분기관명기관 소재지위도경도전화번호데이터기준일
01요양병원남궁요양병원충청북도 청주시 상당구 상당로 47, 2.3층 (남문로2가)36.632523127.488929043-252-30002022-10-31
12정신병원예사랑병원충청북도 청주시 상당구 목련로 64 (운동동)36.605757127.52821043-265-73372022-10-31
23정신병원주사랑병원충청북도 청주시 상당구 가덕면 보청대로 4673-6136.552935127.539569043-286-06922022-10-31
34병원웰니스어린이병원충청북도 청주시 상당구 2순환로2031번길 6-20 (방서동)36.601688127.509481043-225-77002022-10-31
45병원마디사랑병원충청북도 청주시 상당구 상당로 112 (북문로2가)36.639656127.489158043-298-99882022-10-31
56종합병원의료법인인화재단한국병원충청북도 청주시 상당구 단재로 106 (영운동)36.617396127.499149043-255-29002022-10-31
67종합병원의료법인정산의료재단효성병원충청북도 청주시 상당구 쇠내로 16 (금천동)36.624447127.495529043-221-50002022-10-31
78병원의료법인청주병원충청북도 청주시 상당구 상당로 163 (북문로3가)36.642818127.488251043-220-12342022-10-31
89병원공군항공우주의료원충청북도 청주시 상당구 단재로 635 (사서함 335-21)36.608229127.49894043-290-56402022-10-31
910의원서울피부과의원충청북도 청주시 상당구 중고개로 137, 6층 (용암동)36.616944127.518021043-284-13002022-10-31
연번의료시설구분기관명기관 소재지위도경도전화번호데이터기준일
22562257한의원태극한의원충청북도 청주시 흥덕구 대농로 17, 3층 (복대동, 지웰시티몰)36.644033127.424831043-253-65922022-10-31
22572258한의원수양한의원충청북도 청주시 흥덕구 가로수로1240번길 10 (가경동)36.631629127.432207043-231-80002022-10-31
22582259한의원해동한의원충청북도 청주시 흥덕구 사운로 276 (운천동)36.648158127.474181043-276-50572022-10-31
22592260한의원홍익한의원충청북도 청주시 흥덕구 직지대로 569, 3층 (봉명동)36.643543127.456238043-272-64222022-10-31
22602261한의원강대근한의원충청북도 청주시 흥덕구 사직대로 80 (복대동)36.634364127.456233043-273-09002022-10-31
22612262한의원동방한의원충청북도 청주시 흥덕구 사직대로 24, 2층 (복대동)36.634011127.449973043-271-57552022-10-31
22622263한의원김흥제한의원충청북도 청주시 흥덕구 가경로 83 (가경동)36.622733127.440177043-233-51662022-10-31
22632264한약방우일한약방충청북도 청주시 흥덕구 가로수로 1341-1 (복대동)36.63152127.445665043-266-99112022-10-31
22642265한약방홍명당한약방충청북도 청주시 흥덕구 가경로161번길 3 (가경동)36.62896127.436472043-231-22412022-10-31
22652266한약방신진한약방충청북도 청주시 흥덕구 경산로 30 (가경동)36.623856127.435579043-232-74512022-10-31