Overview

Dataset statistics

Number of variables9
Number of observations268
Missing cells43
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.0 KiB
Average record size in memory76.5 B

Variable types

Categorical2
Text3
Numeric4

Dataset

Description의료법인 부대사업시설 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=2PXJ62IK67P73A8K3T2O1584948&infSeq=1

Alerts

소재지우편번호 is highly overall correlated with 시군명High correlation
WGS84위도 is highly overall correlated with 시군명High correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
영업상태명 is highly imbalanced (75.3%)Imbalance
소재지도로명주소 has 5 (1.9%) missing valuesMissing
소재지지번주소 has 5 (1.9%) missing valuesMissing
소재지우편번호 has 5 (1.9%) missing valuesMissing
WGS84위도 has 14 (5.2%) missing valuesMissing
WGS84경도 has 14 (5.2%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:59:37.773380
Analysis finished2023-12-10 22:59:39.819318
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
수원시
27 
성남시
26 
평택시
25 
안양시
19 
김포시
19 
Other values (22)
152 

Length

Max length4
Median length3
Mean length3.0597015
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 27
 
10.1%
성남시 26
 
9.7%
평택시 25
 
9.3%
안양시 19
 
7.1%
김포시 19
 
7.1%
용인시 18
 
6.7%
부천시 14
 
5.2%
군포시 13
 
4.9%
고양시 10
 
3.7%
안성시 9
 
3.4%
Other values (17) 88
32.8%

Length

2023-12-11T07:59:39.875414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 27
 
10.1%
성남시 26
 
9.7%
평택시 25
 
9.3%
안양시 19
 
7.1%
김포시 19
 
7.1%
용인시 18
 
6.7%
부천시 14
 
5.2%
군포시 13
 
4.9%
고양시 10
 
3.7%
안성시 9
 
3.4%
Other values (17) 88
32.8%

사업장명
Text

Distinct266
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T07:59:40.088393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length27
Mean length19.123134
Min length6

Characters and Unicode

Total characters5125
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

Unique264 ?
Unique (%)98.5%

Sample

1st row청심의료재단(우리은행)
2nd row의료법인 청심의료재단(부설주차장)
3rd row청심국제병원(우리은행)
4th row청심의료재단((주)츠단코리아)
5th row의료법인 청심의료재단 청심국제병원(편의점)
ValueCountFrequency (%)
의료법인 106
 
21.0%
장례식장 19
 
3.8%
매점 7
 
1.4%
주차장 6
 
1.2%
우리 5
 
1.0%
대진의료재단 5
 
1.0%
효산의료재단(지샘병원 3
 
0.6%
영업 3
 
0.6%
식당 3
 
0.6%
효심의료재단(용인서울병원 3
 
0.6%
Other values (322) 344
68.3%
2023-12-11T07:59:40.437045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 446
 
8.7%
료 421
 
8.2%
( 308
 
6.0%
) 308
 
6.0%
단 278
 
5.4%
재 275
 
5.4%
236
 
4.6%
인 169
 
3.3%
원 158
 
3.1%
법 142
 
2.8%
Other values (304) 2384
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4214
82.2%
Open Punctuation 308
 
6.0%
Close Punctuation 308
 
6.0%
Space Separator 236
 
4.6%
Uppercase Letter 31
 
0.6%
Lowercase Letter 15
 
0.3%
Decimal Number 11
 
0.2%
Dash Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 446
 
10.6%
료 421
 
10.0%
단 278
 
6.6%
재 275
 
6.5%
인 169
 
4.0%
원 158
 
3.7%
법 142
 
3.4%
병 117
 
2.8%
장 116
 
2.8%
점 72
 
1.7%
Other values (274) 2020
47.9%
Uppercase Letter
ValueCountFrequency (%)
G 5
16.1%
S 4
12.9%
C 4
12.9%
H 3
9.7%
L 2
 
6.5%
U 2
 
6.5%
F 2
 
6.5%
O 2
 
6.5%
N 2
 
6.5%
M 1
 
3.2%
Other values (4) 4
12.9%
Lowercase Letter
ValueCountFrequency (%)
a 4
26.7%
t 3
20.0%
l 2
13.3%
y 2
13.3%
r 1
 
6.7%
i 1
 
6.7%
m 1
 
6.7%
e 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 6
54.5%
5 4
36.4%
4 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 308
100.0%
Close Punctuation
ValueCountFrequency (%)
) 308
100.0%
Space Separator
ValueCountFrequency (%)
236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4214
82.2%
Common 865
 
16.9%
Latin 46
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 446
 
10.6%
료 421
 
10.0%
단 278
 
6.6%
재 275
 
6.5%
인 169
 
4.0%
원 158
 
3.7%
법 142
 
3.4%
병 117
 
2.8%
장 116
 
2.8%
점 72
 
1.7%
Other values (274) 2020
47.9%
Latin
ValueCountFrequency (%)
G 5
 
10.9%
S 4
 
8.7%
a 4
 
8.7%
C 4
 
8.7%
H 3
 
6.5%
t 3
 
6.5%
l 2
 
4.3%
y 2
 
4.3%
L 2
 
4.3%
U 2
 
4.3%
Other values (12) 15
32.6%
Common
ValueCountFrequency (%)
( 308
35.6%
) 308
35.6%
236
27.3%
2 6
 
0.7%
5 4
 
0.5%
- 1
 
0.1%
4 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4214
82.2%
ASCII 911
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 446
 
10.6%
료 421
 
10.0%
단 278
 
6.6%
재 275
 
6.5%
인 169
 
4.0%
원 158
 
3.7%
법 142
 
3.4%
병 117
 
2.8%
장 116
 
2.8%
점 72
 
1.7%
Other values (274) 2020
47.9%
ASCII
ValueCountFrequency (%)
( 308
33.8%
) 308
33.8%
236
25.9%
2 6
 
0.7%
G 5
 
0.5%
S 4
 
0.4%
a 4
 
0.4%
5 4
 
0.4%
C 4
 
0.4%
H 3
 
0.3%
Other values (20) 29
 
3.2%

인허가일자
Real number (ℝ)

Distinct166
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20111859
Minimum19810729
Maximum20180820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:59:40.563715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19810729
5-th percentile20030813
Q120090982
median20120730
Q320140456
95-th percentile20170817
Maximum20180820
Range370091
Interquartile range (IQR)49473.75

Descriptive statistics

Standard deviation59582.724
Coefficient of variation (CV)0.0029625667
Kurtosis11.735076
Mean20111859
Median Absolute Deviation (MAD)20349
Skewness-2.9907591
Sum5.3899783 × 109
Variance3.5501009 × 109
MonotonicityNot monotonic
2023-12-11T07:59:40.904048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120712 13
 
4.9%
20140210 8
 
3.0%
20140218 8
 
3.0%
20120730 7
 
2.6%
20070802 5
 
1.9%
20120629 5
 
1.9%
20071024 4
 
1.5%
20110601 4
 
1.5%
20150319 4
 
1.5%
20071022 4
 
1.5%
Other values (156) 206
76.9%
ValueCountFrequency (%)
19810729 2
0.7%
19811012 2
0.7%
19830525 1
 
0.4%
19850502 1
 
0.4%
19931210 2
0.7%
19940102 2
0.7%
20020725 1
 
0.4%
20030517 2
0.7%
20030813 3
1.1%
20031119 1
 
0.4%
ValueCountFrequency (%)
20180820 1
0.4%
20180806 1
0.4%
20180302 1
0.4%
20180222 1
0.4%
20180116 1
0.4%
20180112 1
0.4%
20171215 2
0.7%
20171115 1
0.4%
20171114 1
0.4%
20171024 2
0.7%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
운영중
257 
폐업 등
 
11

Length

Max length4
Median length3
Mean length3.0410448
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영중
2nd row운영중
3rd row운영중
4th row운영중
5th row폐업 등

Common Values

ValueCountFrequency (%)
운영중 257
95.9%
폐업 등 11
 
4.1%

Length

2023-12-11T07:59:41.013802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:59:41.095284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 257
92.1%
폐업 11
 
3.9%
등 11
 
3.9%

소재지도로명주소
Text

MISSING 

Distinct144
Distinct (%)54.8%
Missing5
Missing (%)1.9%
Memory size2.2 KiB
2023-12-11T07:59:41.346190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length47
Mean length26.707224
Min length15

Characters and Unicode

Total characters7024
Distinct characters216
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

Unique93 ?
Unique (%)35.4%

Sample

1st row경기도 가평군 설악면 미사리로 267-177 (청심국제병원)
2nd row경기도 가평군 설악면 미사리로 267-177, 청심국제병원
3rd row경기도 가평군 설악면 미사리로 267-177
4th row경기도 가평군 설악면 미사리로 267-177
5th row경기도 가평군 설악면 미사리로 267-177
ValueCountFrequency (%)
경기도 263
 
17.2%
수원시 26
 
1.7%
성남시 26
 
1.7%
평택시 25
 
1.6%
분당구 22
 
1.4%
김포시 19
 
1.2%
만안구 19
 
1.2%
안양시 19
 
1.2%
안양동 17
 
1.1%
용인시 15
 
1.0%
Other values (389) 1082
70.6%
2023-12-11T07:59:41.793592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1272
 
18.1%
기 273
 
3.9%
경 268
 
3.8%
도 264
 
3.8%
시 253
 
3.6%
로 252
 
3.6%
동 241
 
3.4%
1 222
 
3.2%
( 218
 
3.1%
) 218
 
3.1%
Other values (206) 3543
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4184
59.6%
Space Separator 1272
 
18.1%
Decimal Number 975
 
13.9%
Open Punctuation 218
 
3.1%
Close Punctuation 218
 
3.1%
Other Punctuation 92
 
1.3%
Dash Punctuation 58
 
0.8%
Uppercase Letter 5
 
0.1%
Math Symbol 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 273
 
6.5%
경 268
 
6.4%
도 264
 
6.3%
시 253
 
6.0%
로 252
 
6.0%
동 241
 
5.8%
구 104
 
2.5%
원 103
 
2.5%
양 98
 
2.3%
안 90
 
2.2%
Other values (185) 2238
53.5%
Decimal Number
ValueCountFrequency (%)
1 222
22.8%
5 119
12.2%
2 115
11.8%
4 81
 
8.3%
3 81
 
8.3%
6 80
 
8.2%
8 77
 
7.9%
9 75
 
7.7%
7 72
 
7.4%
0 53
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
A 2
40.0%
G 2
40.0%
B 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 91
98.9%
. 1
 
1.1%
Space Separator
ValueCountFrequency (%)
1272
100.0%
Open Punctuation
ValueCountFrequency (%)
( 218
100.0%
Close Punctuation
ValueCountFrequency (%)
) 218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4184
59.6%
Common 2835
40.4%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 273
 
6.5%
경 268
 
6.4%
도 264
 
6.3%
시 253
 
6.0%
로 252
 
6.0%
동 241
 
5.8%
구 104
 
2.5%
원 103
 
2.5%
양 98
 
2.3%
안 90
 
2.2%
Other values (185) 2238
53.5%
Common
ValueCountFrequency (%)
1272
44.9%
1 222
 
7.8%
( 218
 
7.7%
) 218
 
7.7%
5 119
 
4.2%
2 115
 
4.1%
, 91
 
3.2%
4 81
 
2.9%
3 81
 
2.9%
6 80
 
2.8%
Other values (8) 338
 
11.9%
Latin
ValueCountFrequency (%)
A 2
40.0%
G 2
40.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4184
59.6%
ASCII 2839
40.4%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1272
44.8%
1 222
 
7.8%
( 218
 
7.7%
) 218
 
7.7%
5 119
 
4.2%
2 115
 
4.1%
, 91
 
3.2%
4 81
 
2.9%
3 81
 
2.9%
6 80
 
2.8%
Other values (10) 342
 
12.0%
Hangul
ValueCountFrequency (%)
기 273
 
6.5%
경 268
 
6.4%
도 264
 
6.3%
시 253
 
6.0%
로 252
 
6.0%
동 241
 
5.8%
구 104
 
2.5%
원 103
 
2.5%
양 98
 
2.3%
안 90
 
2.2%
Other values (185) 2238
53.5%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

소재지지번주소
Text

MISSING 

Distinct156
Distinct (%)59.3%
Missing5
Missing (%)1.9%
Memory size2.2 KiB
2023-12-11T07:59:42.055250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length24.003802
Min length15

Characters and Unicode

Total characters6313
Distinct characters199
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

Unique109 ?
Unique (%)41.4%

Sample

1st row경기도 가평군 설악면 송산리 426-10번지 청심국제병원
2nd row경기도 가평군 설악면 송산리 426번지 10호 청심국제병원
3rd row경기도 가평군 설악면 송산리 426-10번지
4th row경기도 가평군 설악면 송산리 460번지
5th row경기도 가평군 설악면 송산리 426-10번지
ValueCountFrequency (%)
경기도 263
 
18.0%
1호 33
 
2.3%
수원시 27
 
1.8%
성남시 26
 
1.8%
평택시 25
 
1.7%
분당구 22
 
1.5%
만안구 19
 
1.3%
안양시 19
 
1.3%
김포시 19
 
1.3%
용인시 17
 
1.2%
Other values (356) 993
67.9%
2023-12-11T07:59:42.484887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1202
19.0%
지 287
 
4.5%
기 271
 
4.3%
도 266
 
4.2%
경 263
 
4.2%
번 263
 
4.2%
1 256
 
4.1%
시 253
 
4.0%
동 234
 
3.7%
호 143
 
2.3%
Other values (189) 2875
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3945
62.5%
Space Separator 1202
 
19.0%
Decimal Number 1097
 
17.4%
Dash Punctuation 47
 
0.7%
Other Punctuation 8
 
0.1%
Uppercase Letter 8
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 287
 
7.3%
기 271
 
6.9%
도 266
 
6.7%
경 263
 
6.7%
번 263
 
6.7%
시 253
 
6.4%
동 234
 
5.9%
호 143
 
3.6%
구 105
 
2.7%
원 92
 
2.3%
Other values (168) 1768
44.8%
Decimal Number
ValueCountFrequency (%)
1 256
23.3%
3 129
11.8%
2 103
9.4%
9 96
 
8.8%
4 96
 
8.8%
7 88
 
8.0%
5 88
 
8.0%
8 83
 
7.6%
6 82
 
7.5%
0 76
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
A 5
62.5%
B 2
 
25.0%
G 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
. 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3945
62.5%
Common 2360
37.4%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 287
 
7.3%
기 271
 
6.9%
도 266
 
6.7%
경 263
 
6.7%
번 263
 
6.7%
시 253
 
6.4%
동 234
 
5.9%
호 143
 
3.6%
구 105
 
2.7%
원 92
 
2.3%
Other values (168) 1768
44.8%
Common
ValueCountFrequency (%)
1202
50.9%
1 256
 
10.8%
3 129
 
5.5%
2 103
 
4.4%
9 96
 
4.1%
4 96
 
4.1%
7 88
 
3.7%
5 88
 
3.7%
8 83
 
3.5%
6 82
 
3.5%
Other values (8) 137
 
5.8%
Latin
ValueCountFrequency (%)
A 5
62.5%
B 2
 
25.0%
G 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3945
62.5%
ASCII 2367
37.5%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1202
50.8%
1 256
 
10.8%
3 129
 
5.4%
2 103
 
4.4%
9 96
 
4.1%
4 96
 
4.1%
7 88
 
3.7%
5 88
 
3.7%
8 83
 
3.5%
6 82
 
3.5%
Other values (10) 144
 
6.1%
Hangul
ValueCountFrequency (%)
지 287
 
7.3%
기 271
 
6.9%
도 266
 
6.7%
경 263
 
6.7%
번 263
 
6.7%
시 253
 
6.4%
동 234
 
5.9%
호 143
 
3.6%
구 105
 
2.7%
원 92
 
2.3%
Other values (168) 1768
44.8%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct134
Distinct (%)51.0%
Missing5
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean284086.63
Minimum10072
Maximum487823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:59:42.600828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10072
5-th percentile11520.5
Q117089
median423711
Q3449025
95-th percentile480867
Maximum487823
Range477751
Interquartile range (IQR)431936

Descriptive statistics

Standard deviation208452.08
Coefficient of variation (CV)0.73376235
Kurtosis-1.7242092
Mean284086.63
Median Absolute Deviation (MAD)40063
Skewness-0.5085691
Sum74714785
Variance4.3452269 × 1010
MonotonicityNot monotonic
2023-12-11T07:59:42.737073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
435813 10
 
3.7%
441821 9
 
3.4%
463774 8
 
3.0%
463712 8
 
3.0%
430828 7
 
2.6%
415020 7
 
2.6%
12461 6
 
2.2%
14754 6
 
2.2%
17825 5
 
1.9%
17089 5
 
1.9%
Other values (124) 192
71.6%
ValueCountFrequency (%)
10072 2
 
0.7%
10086 3
1.1%
10099 1
 
0.4%
10475 2
 
0.7%
10858 1
 
0.4%
11174 3
1.1%
11327 1
 
0.4%
11416 1
 
0.4%
12461 6
2.2%
12512 2
 
0.7%
ValueCountFrequency (%)
487823 1
 
0.4%
486908 1
 
0.4%
486903 2
0.7%
483050 2
0.7%
483040 3
1.1%
483030 3
1.1%
482060 1
 
0.4%
480867 2
0.7%
480862 1
 
0.4%
477855 2
0.7%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct105
Distinct (%)41.3%
Missing14
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean37.405051
Minimum36.988415
Maximum38.017425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:59:42.853560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.988415
5-th percentile37.00496
Q137.259817
median37.388208
Q337.630497
95-th percentile37.857968
Maximum38.017425
Range1.02901
Interquartile range (IQR)0.37067933

Descriptive statistics

Standard deviation0.24827263
Coefficient of variation (CV)0.0066374092
Kurtosis-0.43837171
Mean37.405051
Median Absolute Deviation (MAD)0.13774327
Skewness0.29787942
Sum9500.883
Variance0.061639299
MonotonicityNot monotonic
2023-12-11T07:59:42.974990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2598171797 11
 
4.1%
37.3586407829 11
 
4.1%
37.4104664747 10
 
3.7%
37.6330010089 8
 
3.0%
37.3928939479 8
 
3.0%
37.3882075823 8
 
3.0%
37.4810423491 8
 
3.0%
37.6911268232 8
 
3.0%
37.4730459543 8
 
3.0%
37.6424745722 6
 
2.2%
Other values (95) 168
62.7%
(Missing) 14
 
5.2%
ValueCountFrequency (%)
36.988415123 1
 
0.4%
36.9898906563 1
 
0.4%
36.9903562328 1
 
0.4%
36.9905649024 4
1.5%
36.9930565731 2
 
0.7%
36.9971749018 2
 
0.7%
37.0034226893 1
 
0.4%
37.0049595787 3
1.1%
37.0083742374 5
1.9%
37.0146530464 1
 
0.4%
ValueCountFrequency (%)
38.0174251575 3
1.1%
37.9068599484 4
1.5%
37.9000513558 2
0.7%
37.8958314177 1
 
0.4%
37.894907761 2
0.7%
37.8766038982 1
 
0.4%
37.8479328534 1
 
0.4%
37.8375726632 1
 
0.4%
37.8274877024 4
1.5%
37.8101866274 1
 
0.4%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct105
Distinct (%)41.3%
Missing14
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean127.02207
Minimum126.5871
Maximum127.66862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T07:59:43.112409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5871
5-th percentile126.71055
Q1126.87222
median127.02289
Q3127.12583
95-th percentile127.50975
Maximum127.66862
Range1.0815213
Interquartile range (IQR)0.25361761

Descriptive statistics

Standard deviation0.20893939
Coefficient of variation (CV)0.0016449062
Kurtosis0.71809764
Mean127.02207
Median Absolute Deviation (MAD)0.10294902
Skewness0.68356687
Sum32263.606
Variance0.043655668
MonotonicityNot monotonic
2023-12-11T07:59:43.239653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0228858068 11
 
4.1%
126.9473038902 11
 
4.1%
127.1258348309 10
 
3.7%
126.7105517913 8
 
3.0%
126.9248195521 8
 
3.0%
127.1217770322 8
 
3.0%
126.7911902926 8
 
3.0%
127.5213805697 8
 
3.0%
126.8722172235 8
 
3.0%
126.8317454892 6
 
2.2%
Other values (95) 168
62.7%
(Missing) 14
 
5.2%
ValueCountFrequency (%)
126.5870994059 1
 
0.4%
126.6084077369 1
 
0.4%
126.660255538 3
 
1.1%
126.6760927289 2
 
0.7%
126.6870055362 2
 
0.7%
126.7105517913 8
3.0%
126.7211030095 1
 
0.4%
126.7284520798 1
 
0.4%
126.7347867963 1
 
0.4%
126.7422712694 1
 
0.4%
ValueCountFrequency (%)
127.6686207363 1
 
0.4%
127.6204462891 1
 
0.4%
127.6201407328 1
 
0.4%
127.5661389553 2
 
0.7%
127.5213805697 8
3.0%
127.5034843038 1
 
0.4%
127.4843447284 1
 
0.4%
127.4734789087 2
 
0.7%
127.421670646 1
 
0.4%
127.3885273758 1
 
0.4%

Interactions

2023-12-11T07:59:39.160949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:38.276355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:38.570064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:38.879595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:39.240502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:38.356973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:38.643466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:38.953261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:39.314582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:38.429299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:38.726818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:39.022447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:39.386280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:38.500412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:38.810618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:39.089996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:59:43.317695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명인허가일자영업상태명소재지우편번호WGS84위도WGS84경도
시군명1.0000.7250.4520.8760.9800.966
인허가일자0.7251.0000.1870.5640.2570.442
영업상태명0.4520.1871.0000.0580.2540.406
소재지우편번호0.8760.5640.0581.0000.5170.692
WGS84위도0.9800.2570.2540.5171.0000.810
WGS84경도0.9660.4420.4060.6920.8101.000
2023-12-11T07:59:43.424727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태명시군명
영업상태명1.0000.371
시군명0.3711.000
2023-12-11T07:59:43.504381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자소재지우편번호WGS84위도WGS84경도시군명영업상태명
인허가일자1.000-0.295-0.1810.1480.3740.140
소재지우편번호-0.2951.000-0.0310.2390.6080.093
WGS84위도-0.181-0.0311.000-0.2720.8470.191
WGS84경도0.1480.239-0.2721.0000.7830.307
시군명0.3740.6080.8470.7831.0000.371
영업상태명0.1400.0930.1910.3070.3711.000

Missing values

2023-12-11T07:59:39.481593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:59:39.623910image/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.
2023-12-11T07:59:39.748852image/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

시군명사업장명인허가일자영업상태명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0가평군청심의료재단(우리은행)20030517운영중경기도 가평군 설악면 미사리로 267-177 (청심국제병원)경기도 가평군 설악면 송산리 426-10번지 청심국제병원1246137.691127127.521381
1가평군의료법인 청심의료재단(부설주차장)20180222운영중경기도 가평군 설악면 미사리로 267-177, 청심국제병원경기도 가평군 설악면 송산리 426번지 10호 청심국제병원1246137.691127127.521381
2가평군청심국제병원(우리은행)20030517운영중경기도 가평군 설악면 미사리로 267-177경기도 가평군 설악면 송산리 426-10번지1246137.691127127.521381
3가평군청심의료재단((주)츠단코리아)20030813운영중경기도 가평군 설악면 미사리로 267-177경기도 가평군 설악면 송산리 460번지47785537.691127127.521381
4가평군의료법인 청심의료재단 청심국제병원(편의점)20131031폐업 등경기도 가평군 설악면 미사리로 267-177경기도 가평군 설악면 송산리 426-10번지1246137.691127127.521381
5가평군청심의료재단(휴브라운)20030813폐업 등경기도 가평군 설악면 미사리로 267-177경기도 가평군 설악면 송산리 426-10번지1246137.691127127.521381
6가평군청심의료재단(주식회사브루헬스)20120525폐업 등경기도 가평군 설악면 미사리로 267-177경기도 가평군 설악면 송산리 426-10번지1246137.691127127.521381
7가평군청심의료재단(블루헬스)20030813폐업 등경기도 가평군 설악면 미사리로 267-177경기도 가평군 설악면 송산리 460번지47785537.691127127.521381
8고양시명지의료재단(외환은행)20110601운영중경기도 고양시 덕양구 화수로14번길 55 (화정동)경기도 고양시 덕양구 화정1동 697번지 24호41227137.642475126.831745
9고양시의료법인 명지의료재단(하이파킹)20071130운영중경기도 고양시 덕양구 화수로14번길 55, 지하1층 (화정동)경기도 고양시 덕양구 화정동 697-1번지 지하1층1047537.642475126.831745
시군명사업장명인허가일자영업상태명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
258포천시일심의료재단(아노이)20120712운영중경기도 포천시 소흘읍 호국로 661경기도 포천시 소흘읍 송우리 116번지 11호48782337.827488127.148136
259화성시녹산의료재단(남양병원 매점)19811012운영중경기도 화성시 남양성지로 254-3 (남양동)<NA><NA><NA><NA>
260화성시의료법인 백상의료재단(연세한국병원 장례식장)20150727운영중경기도 화성시 화산북로 21 (송산동)경기도 화성시 송산동 200-4번지1835637.210062127.00803
261화성시녹산의료재단(주식회사 세운)19811012운영중경기도 화성시 남양성지로 254-3 (남양동)<NA><NA><NA><NA>
262화성시의료법인 승민의료재단(화성초록병원 매점)20140407운영중경기도 화성시 양감면 사격장길 133-25경기도 화성시 양감면 사창리 808-10번지1862637.089744126.956892
263화성시일선의료재단(화성현대요양병원 자동판매기)20120808운영중경기도 화성시 우정읍 남양만로 662경기도 화성시 우정읍 이화리 439-1번지1857337.042361126.798045
264화성시의료법인 일선의료재단(현대장례문화원)20130320운영중경기도 화성시 우정읍 남양만로 662경기도 화성시 우정읍 이화리 439-1번지1857337.042361126.798045
265화성시일선의료재단(화성현대요양병원 매점)20120808운영중경기도 화성시 우정읍 남양만로 662경기도 화성시 우정읍 이화리 439-1번지1857337.042361126.798045
266화성시은혜와감사의료재단(화성중앙종합병원 장례예식장)20080522운영중<NA>경기도 화성시 향남읍 평리 74번지 11호445939<NA><NA>
267화성시백상의료재단(커피마루)20140918운영중경기도 화성시 화산북로 21 (송산동)경기도 화성시 송산동 200-4번지1835637.210062127.00803