Overview

Dataset statistics

Number of variables14
Number of observations74
Missing cells385
Missing cells (%)37.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory121.8 B

Variable types

Categorical2
Text4
Numeric3
Unsupported5

Dataset

Description응급의료기관 및 응급의료지원센터 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=MB714IBPDSE5OPNIMW0V27143432&infSeq=1

Alerts

소재지우편번호 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
소재지지번주소 has 4 (5.4%) missing valuesMissing
소재지우편번호 has 3 (4.1%) missing valuesMissing
위도 has 4 (5.4%) missing valuesMissing
경도 has 4 (5.4%) missing valuesMissing
응급의료지원센터여부 has 74 (100.0%) missing valuesMissing
전문응급의료센터여부 has 74 (100.0%) missing valuesMissing
전문응급센터전문분야 has 74 (100.0%) missing valuesMissing
권역외상센터여부 has 74 (100.0%) missing valuesMissing
지역외상센터여부 has 74 (100.0%) missing valuesMissing
병원명/센터명 has unique valuesUnique
대표전화번호 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
응급의료지원센터여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전문응급의료센터여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전문응급센터전문분야 is an unsupported type, check if it needs cleaning or further analysisUnsupported
권역외상센터여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역외상센터여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-16 04:39:14.162054
Analysis finished2024-03-16 04:39:23.324620
Duration9.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
성남시
7 
고양시
6 
수원시
6 
의정부시
5 
용인시
5 
Other values (21)
45 

Length

Max length4
Median length3
Mean length3.1081081
Min length3

Unique

Unique8 ?
Unique (%)10.8%

Sample

1st row경기도
2nd row수원시
3rd row수원시
4th row수원시
5th row수원시

Common Values

ValueCountFrequency (%)
성남시 7
 
9.5%
고양시 6
 
8.1%
수원시 6
 
8.1%
의정부시 5
 
6.8%
용인시 5
 
6.8%
안산시 5
 
6.8%
화성시 4
 
5.4%
부천시 4
 
5.4%
평택시 4
 
5.4%
남양주시 3
 
4.1%
Other values (16) 25
33.8%

Length

2024-03-16T04:39:23.632995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 7
 
9.5%
수원시 6
 
8.1%
고양시 6
 
8.1%
의정부시 5
 
6.8%
용인시 5
 
6.8%
안산시 5
 
6.8%
화성시 4
 
5.4%
부천시 4
 
5.4%
평택시 4
 
5.4%
남양주시 3
 
4.1%
Other values (16) 25
33.8%

병원명/센터명
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-03-16T04:39:24.266511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.5810811
Min length3

Characters and Unicode

Total characters487
Distinct characters121
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

Unique74 ?
Unique (%)100.0%

Sample

1st row경기응급의료지원센터
2nd row(의)명인의료재단 화홍병원
3rd row경기도의료원 수원병원
4th row동수원병원
5th row성빈센트병원
ValueCountFrequency (%)
경기도의료원 6
 
7.4%
경기응급의료지원센터 1
 
1.2%
센트럴병원 1
 
1.2%
다보스병원 1
 
1.2%
강남병원 1
 
1.2%
지샘병원 1
 
1.2%
원광대산본병원 1
 
1.2%
신천연합병원 1
 
1.2%
시화병원 1
 
1.2%
오산한국병원 1
 
1.2%
Other values (66) 66
81.5%
2024-03-16T04:39:25.376931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 84
 
17.2%
병 70
 
14.4%
대 15
 
3.1%
의 15
 
3.1%
성 15
 
3.1%
료 10
 
2.1%
천 8
 
1.6%
도 8
 
1.6%
기 8
 
1.6%
산 8
 
1.6%
Other values (111) 246
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 478
98.2%
Space Separator 7
 
1.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 84
 
17.6%
병 70
 
14.6%
대 15
 
3.1%
의 15
 
3.1%
성 15
 
3.1%
료 10
 
2.1%
천 8
 
1.7%
도 8
 
1.7%
기 8
 
1.7%
산 8
 
1.7%
Other values (108) 237
49.6%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 478
98.2%
Common 9
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 84
 
17.6%
병 70
 
14.6%
대 15
 
3.1%
의 15
 
3.1%
성 15
 
3.1%
료 10
 
2.1%
천 8
 
1.7%
도 8
 
1.7%
기 8
 
1.7%
산 8
 
1.7%
Other values (108) 237
49.6%
Common
ValueCountFrequency (%)
7
77.8%
) 1
 
11.1%
( 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 478
98.2%
ASCII 9
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 84
 
17.6%
병 70
 
14.6%
대 15
 
3.1%
의 15
 
3.1%
성 15
 
3.1%
료 10
 
2.1%
천 8
 
1.7%
도 8
 
1.7%
기 8
 
1.7%
산 8
 
1.7%
Other values (108) 237
49.6%
ASCII
ValueCountFrequency (%)
7
77.8%
) 1
 
11.1%
( 1
 
11.1%

업무구분명
Categorical

Distinct4
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
지역센터
34 
지역기관
30 
권역센터
9 
응급의료지원센터
 
1

Length

Max length8
Median length4
Mean length4.0540541
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row응급의료지원센터
2nd row지역센터
3rd row지역기관
4th row지역센터
5th row지역센터

Common Values

ValueCountFrequency (%)
지역센터 34
45.9%
지역기관 30
40.5%
권역센터 9
 
12.2%
응급의료지원센터 1
 
1.4%

Length

2024-03-16T04:39:25.835451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T04:39:26.286036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역센터 34
45.9%
지역기관 30
40.5%
권역센터 9
 
12.2%
응급의료지원센터 1
 
1.4%

대표전화번호
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-03-16T04:39:26.859957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.621622
Min length9

Characters and Unicode

Total characters860
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

Unique74 ?
Unique (%)100.0%

Sample

1st row031-8008-5641
2nd row031-8021-6829
3rd row031-888-0114
4th row031-210-0114
5th row1577-8588
ValueCountFrequency (%)
031-8008-5641 1
 
1.4%
1522-8119 1
 
1.4%
031-300-0114 1
 
1.4%
031-389-3000 1
 
1.4%
031-390-2300 1
 
1.4%
031-310-6300 1
 
1.4%
031-432-2600 1
 
1.4%
1588-9339 1
 
1.4%
031-379-8300 1
 
1.4%
031-574-9119 1
 
1.4%
Other values (64) 64
86.5%
2024-03-16T04:39:28.140006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 181
21.0%
1 155
18.0%
- 135
15.7%
3 91
10.6%
8 56
 
6.5%
7 55
 
6.4%
5 40
 
4.7%
9 39
 
4.5%
6 38
 
4.4%
4 36
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 725
84.3%
Dash Punctuation 135
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 181
25.0%
1 155
21.4%
3 91
12.6%
8 56
 
7.7%
7 55
 
7.6%
5 40
 
5.5%
9 39
 
5.4%
6 38
 
5.2%
4 36
 
5.0%
2 34
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 860
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 181
21.0%
1 155
18.0%
- 135
15.7%
3 91
10.6%
8 56
 
6.5%
7 55
 
6.4%
5 40
 
4.7%
9 39
 
4.5%
6 38
 
4.4%
4 36
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 181
21.0%
1 155
18.0%
- 135
15.7%
3 91
10.6%
8 56
 
6.5%
7 55
 
6.4%
5 40
 
4.7%
9 39
 
4.5%
6 38
 
4.4%
4 36
 
4.2%

소재지도로명주소
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-03-16T04:39:29.038734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length22.783784
Min length14

Characters and Unicode

Total characters1686
Distinct characters163
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

Unique74 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 영통구 도청로 30, 23층
2nd row경기도 수원시 권선구 호매실로 90번길 98(호매실동)
3rd row경기도 수원시 장안구 수성로 245번길 69
4th row경기도 수원시 팔달구 중부대로 165(우만동)
5th row경기도 수원시 팔달구 중부대로 93(지동)
ValueCountFrequency (%)
경기도 74
 
21.3%
수원시 7
 
2.0%
성남시 7
 
2.0%
고양시 6
 
1.7%
용인시 5
 
1.4%
의정부시 5
 
1.4%
안산시 5
 
1.4%
부천시 4
 
1.1%
평택시 4
 
1.1%
중앙로 4
 
1.1%
Other values (190) 227
65.2%
2024-03-16T04:39:30.417772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
274
 
16.3%
경 78
 
4.6%
기 77
 
4.6%
시 77
 
4.6%
도 75
 
4.4%
로 72
 
4.3%
동 68
 
4.0%
) 59
 
3.5%
( 59
 
3.5%
1 46
 
2.7%
Other values (153) 801
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1056
62.6%
Space Separator 274
 
16.3%
Decimal Number 234
 
13.9%
Close Punctuation 59
 
3.5%
Open Punctuation 59
 
3.5%
Dash Punctuation 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 78
 
7.4%
기 77
 
7.3%
시 77
 
7.3%
도 75
 
7.1%
로 72
 
6.8%
동 68
 
6.4%
구 41
 
3.9%
원 20
 
1.9%
산 19
 
1.8%
길 18
 
1.7%
Other values (138) 511
48.4%
Decimal Number
ValueCountFrequency (%)
1 46
19.7%
2 35
15.0%
3 29
12.4%
7 24
10.3%
0 21
9.0%
5 18
 
7.7%
6 17
 
7.3%
4 15
 
6.4%
8 15
 
6.4%
9 14
 
6.0%
Space Separator
ValueCountFrequency (%)
274
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1056
62.6%
Common 630
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 78
 
7.4%
기 77
 
7.3%
시 77
 
7.3%
도 75
 
7.1%
로 72
 
6.8%
동 68
 
6.4%
구 41
 
3.9%
원 20
 
1.9%
산 19
 
1.8%
길 18
 
1.7%
Other values (138) 511
48.4%
Common
ValueCountFrequency (%)
274
43.5%
) 59
 
9.4%
( 59
 
9.4%
1 46
 
7.3%
2 35
 
5.6%
3 29
 
4.6%
7 24
 
3.8%
0 21
 
3.3%
5 18
 
2.9%
6 17
 
2.7%
Other values (5) 48
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1056
62.6%
ASCII 630
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
274
43.5%
) 59
 
9.4%
( 59
 
9.4%
1 46
 
7.3%
2 35
 
5.6%
3 29
 
4.6%
7 24
 
3.8%
0 21
 
3.3%
5 18
 
2.9%
6 17
 
2.7%
Other values (5) 48
 
7.6%
Hangul
ValueCountFrequency (%)
경 78
 
7.4%
기 77
 
7.3%
시 77
 
7.3%
도 75
 
7.1%
로 72
 
6.8%
동 68
 
6.4%
구 41
 
3.9%
원 20
 
1.9%
산 19
 
1.8%
길 18
 
1.7%
Other values (138) 511
48.4%

소재지지번주소
Text

MISSING 

Distinct70
Distinct (%)100.0%
Missing4
Missing (%)5.4%
Memory size724.0 B
2024-03-16T04:39:31.072646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length20.857143
Min length16

Characters and Unicode

Total characters1460
Distinct characters120
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

Unique70 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 영통구 이의동 23층
2nd row경기도 수원시 권선구 호매실동 1396-1번지
3rd row경기도 수원시 장안구 정자동 886-9번지
4th row경기도 수원시 팔달구 우만동 157-7번지
5th row경기도 수원시 팔달구 지동 93-6번지
ValueCountFrequency (%)
경기도 70
 
21.7%
수원시 6
 
1.9%
고양시 6
 
1.9%
성남시 6
 
1.9%
의정부시 5
 
1.6%
용인시 5
 
1.6%
안산시 5
 
1.6%
평택시 4
 
1.2%
일산동구 4
 
1.2%
화성시 4
 
1.2%
Other values (175) 207
64.3%
2024-03-16T04:39:32.028113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
17.3%
기 73
 
5.0%
지 71
 
4.9%
시 71
 
4.9%
경 70
 
4.8%
도 70
 
4.8%
번 69
 
4.7%
동 67
 
4.6%
1 51
 
3.5%
- 39
 
2.7%
Other values (110) 627
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 908
62.2%
Decimal Number 261
 
17.9%
Space Separator 252
 
17.3%
Dash Punctuation 39
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 73
 
8.0%
지 71
 
7.8%
시 71
 
7.8%
경 70
 
7.7%
도 70
 
7.7%
번 69
 
7.6%
동 67
 
7.4%
구 36
 
4.0%
양 17
 
1.9%
원 16
 
1.8%
Other values (98) 348
38.3%
Decimal Number
ValueCountFrequency (%)
1 51
19.5%
3 33
12.6%
4 26
10.0%
2 25
9.6%
9 25
9.6%
5 23
8.8%
6 23
8.8%
7 19
 
7.3%
8 19
 
7.3%
0 17
 
6.5%
Space Separator
ValueCountFrequency (%)
252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 908
62.2%
Common 552
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 73
 
8.0%
지 71
 
7.8%
시 71
 
7.8%
경 70
 
7.7%
도 70
 
7.7%
번 69
 
7.6%
동 67
 
7.4%
구 36
 
4.0%
양 17
 
1.9%
원 16
 
1.8%
Other values (98) 348
38.3%
Common
ValueCountFrequency (%)
252
45.7%
1 51
 
9.2%
- 39
 
7.1%
3 33
 
6.0%
4 26
 
4.7%
2 25
 
4.5%
9 25
 
4.5%
5 23
 
4.2%
6 23
 
4.2%
7 19
 
3.4%
Other values (2) 36
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 908
62.2%
ASCII 552
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
252
45.7%
1 51
 
9.2%
- 39
 
7.1%
3 33
 
6.0%
4 26
 
4.7%
2 25
 
4.5%
9 25
 
4.5%
5 23
 
4.2%
6 23
 
4.2%
7 19
 
3.4%
Other values (2) 36
 
6.5%
Hangul
ValueCountFrequency (%)
기 73
 
8.0%
지 71
 
7.8%
시 71
 
7.8%
경 70
 
7.7%
도 70
 
7.7%
번 69
 
7.6%
동 67
 
7.4%
구 36
 
4.0%
양 17
 
1.9%
원 16
 
1.8%
Other values (98) 348
38.3%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct71
Distinct (%)100.0%
Missing3
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean14347.282
Minimum10086
Maximum18592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-03-16T04:39:32.445488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10086
5-th percentile10394
Q111850.5
median14584
Q316569
95-th percentile18207
Maximum18592
Range8506
Interquartile range (IQR)4718.5

Descriptive statistics

Standard deviation2635.9787
Coefficient of variation (CV)0.1837267
Kurtosis-1.2937326
Mean14347.282
Median Absolute Deviation (MAD)2479
Skewness-0.078565646
Sum1018657
Variance6948383.6
MonotonicityNot monotonic
2024-03-16T04:39:32.941707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16630 1
 
1.4%
17050 1
 
1.4%
17063 1
 
1.4%
17064 1
 
1.4%
15839 1
 
1.4%
15865 1
 
1.4%
14905 1
 
1.4%
15040 1
 
1.4%
15079 1
 
1.4%
18144 1
 
1.4%
Other values (61) 61
82.4%
(Missing) 3
 
4.1%
ValueCountFrequency (%)
10086 1
1.4%
10099 1
1.4%
10326 1
1.4%
10380 1
1.4%
10408 1
1.4%
10414 1
1.4%
10444 1
1.4%
10475 1
1.4%
10913 1
1.4%
10922 1
1.4%
ValueCountFrequency (%)
18592 1
1.4%
18450 1
1.4%
18356 1
1.4%
18270 1
1.4%
18144 1
1.4%
17909 1
1.4%
17874 1
1.4%
17825 1
1.4%
17784 1
1.4%
17592 1
1.4%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct70
Distinct (%)100.0%
Missing4
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean37.434724
Minimum36.990565
Maximum38.023551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-03-16T04:39:33.507572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.990565
5-th percentile37.026324
Q137.278082
median37.392274
Q337.644725
95-th percentile37.759939
Maximum38.023551
Range1.0329863
Interquartile range (IQR)0.36664352

Descriptive statistics

Standard deviation0.23329333
Coefficient of variation (CV)0.0062320035
Kurtosis-0.4817108
Mean37.434724
Median Absolute Deviation (MAD)0.14204995
Skewness0.21248482
Sum2620.4307
Variance0.054425778
MonotonicityNot monotonic
2024-03-16T04:39:34.179678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3366662115 1
 
1.4%
37.2315458776 1
 
1.4%
37.2736708927 1
 
1.4%
37.3586407829 1
 
1.4%
37.3594142404 1
 
1.4%
37.4445266056 1
 
1.4%
37.3529286368 1
 
1.4%
37.1412846971 1
 
1.4%
37.2403149583 1
 
1.4%
37.7156786627 1
 
1.4%
Other values (60) 60
81.1%
(Missing) 4
 
5.4%
ValueCountFrequency (%)
36.9905649024 1
1.4%
36.9930565731 1
1.4%
37.0058059754 1
1.4%
37.0083742374 1
1.4%
37.0482621367 1
1.4%
37.1313495282 1
1.4%
37.1412846971 1
1.4%
37.1992313944 1
1.4%
37.2100622996 1
1.4%
37.2164957291 1
1.4%
ValueCountFrequency (%)
38.0235512237 1
1.4%
37.9030934888 1
1.4%
37.8274877024 1
1.4%
37.7610981986 1
1.4%
37.7585227082 1
1.4%
37.7548777512 1
1.4%
37.7539942635 1
1.4%
37.7497753415 1
1.4%
37.7453057969 1
1.4%
37.7410761753 1
1.4%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct70
Distinct (%)100.0%
Missing4
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean126.99875
Minimum126.66026
Maximum127.6267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-03-16T04:39:34.596160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.66026
5-th percentile126.73832
Q1126.81612
median127.03067
Q3127.1255
95-th percentile127.24541
Maximum127.6267
Range0.96644868
Interquartile range (IQR)0.30938306

Descriptive statistics

Standard deviation0.19447744
Coefficient of variation (CV)0.0015313335
Kurtosis0.64623474
Mean126.99875
Median Absolute Deviation (MAD)0.13816115
Skewness0.59524108
Sum8889.9124
Variance0.037821474
MonotonicityNot monotonic
2024-03-16T04:39:35.029257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7284520798 1
 
1.4%
127.2114163575 1
 
1.4%
127.1114435444 1
 
1.4%
126.9473038902 1
 
1.4%
126.933600771 1
 
1.4%
126.789375692 1
 
1.4%
126.7245821812 1
 
1.4%
127.0755950189 1
 
1.4%
127.2144834225 1
 
1.4%
127.1796858087 1
 
1.4%
Other values (60) 60
81.1%
(Missing) 4
 
5.4%
ValueCountFrequency (%)
126.660255538 1
1.4%
126.7105517913 1
1.4%
126.7245821812 1
1.4%
126.7284520798 1
1.4%
126.7503817665 1
1.4%
126.7621105079 1
1.4%
126.7667173351 1
1.4%
126.7694862939 1
1.4%
126.7757402631 1
1.4%
126.7796405014 1
1.4%
ValueCountFrequency (%)
127.6267042219 1
1.4%
127.5034843038 1
1.4%
127.4332171305 1
1.4%
127.2707076272 1
1.4%
127.2144834225 1
1.4%
127.2114163575 1
1.4%
127.2043260272 1
1.4%
127.2010748933 1
1.4%
127.1983489735 1
1.4%
127.1796858087 1
1.4%

응급의료지원센터여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

전문응급의료센터여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

전문응급센터전문분야
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

권역외상센터여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

지역외상센터여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

Interactions

2024-03-16T04:39:20.517489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:39:18.961643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:39:19.693219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:39:20.775007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:39:19.198063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:39:19.968289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:39:21.092885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:39:19.452866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:39:20.224622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T04:39:35.310146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명병원명/센터명업무구분명대표전화번호소재지도로명주소소재지지번주소소재지우편번호위도경도
시군명1.0001.0000.7491.0001.0001.0000.9920.9830.982
병원명/센터명1.0001.0001.0001.0001.0001.0001.0001.0001.000
업무구분명0.7491.0001.0001.0001.0001.0000.1830.0000.000
대표전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호0.9921.0000.1831.0001.0001.0001.0000.9130.814
위도0.9831.0000.0001.0001.0001.0000.9131.0000.527
경도0.9821.0000.0001.0001.0001.0000.8140.5271.000
2024-03-16T04:39:35.616403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명업무구분명
시군명1.0000.410
업무구분명0.4101.000
2024-03-16T04:39:35.864757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호위도경도시군명업무구분명
소재지우편번호1.000-0.9230.2380.8000.103
위도-0.9231.000-0.2150.7500.000
경도0.238-0.2151.0000.7450.000
시군명0.8000.7500.7451.0000.410
업무구분명0.1030.0000.0000.4101.000

Missing values

2024-03-16T04:39:21.576640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T04:39:22.287327image/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.
2024-03-16T04:39:23.050530image/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

시군명병원명/센터명업무구분명대표전화번호소재지도로명주소소재지지번주소소재지우편번호위도경도응급의료지원센터여부전문응급의료센터여부전문응급센터전문분야권역외상센터여부지역외상센터여부
0경기도경기응급의료지원센터응급의료지원센터031-8008-5641경기도 수원시 영통구 도청로 30, 23층경기도 수원시 영통구 이의동 23층1650837.289295127.053544<NA><NA><NA><NA><NA>
1수원시(의)명인의료재단 화홍병원지역센터031-8021-6829경기도 수원시 권선구 호매실로 90번길 98(호매실동)경기도 수원시 권선구 호매실동 1396-1번지1663037.260133126.963926<NA><NA><NA><NA><NA>
2수원시경기도의료원 수원병원지역기관031-888-0114경기도 수원시 장안구 수성로 245번길 69경기도 수원시 장안구 정자동 886-9번지1631637.291887126.99634<NA><NA><NA><NA><NA>
3수원시동수원병원지역센터031-210-0114경기도 수원시 팔달구 중부대로 165(우만동)경기도 수원시 팔달구 우만동 157-7번지1649437.278628127.033889<NA><NA><NA><NA><NA>
4수원시성빈센트병원지역센터1577-8588경기도 수원시 팔달구 중부대로 93(지동)경기도 수원시 팔달구 지동 93-6번지1624737.277899127.027453<NA><NA><NA><NA><NA>
5수원시아주대학교병원권역센터1688-6114경기도 수원시 영통구 월드컵로 1645(원천동)<NA><NA><NA><NA><NA><NA><NA><NA><NA>
6수원시윌스기념병원지역기관031-240-6119경기도 수원시 팔달구 경수대로 437(인계동)경기도 수원시 팔달구 인계동 994-3번지1648037.265317127.025547<NA><NA><NA><NA><NA>
7성남시국군수도병원지역기관031-725-5114경기도 성남시 분당구 새마을로 177번길 129(율동)<NA><NA><NA><NA><NA><NA><NA><NA><NA>
8성남시분당서울대병원권역센터1588-3369경기도 성남시 분당구 구미로173번길 82(구미동)경기도 성남시 분당구 구미동 300번지1362037.352017127.124499<NA><NA><NA><NA><NA>
9성남시분당제생병원지역센터031-779-0114경기도 성남시 분당구 서현로180번길 20(서현동)경기도 성남시 분당구 서현동 255-2번지1359037.388208127.121777<NA><NA><NA><NA><NA>
시군명병원명/센터명업무구분명대표전화번호소재지도로명주소소재지지번주소소재지우편번호위도경도응급의료지원센터여부전문응급의료센터여부전문응급센터전문분야권역외상센터여부지역외상센터여부
64화성시원광종합병원지역기관031-8077-7200경기도 화성시 화산북로 21(송산동)경기도 화성시 송산동 200-4번지1835637.210062127.00803<NA><NA><NA><NA><NA>
65화성시한림대동탄성심병원지역센터031-8086-3000경기도 화성시 큰재봉길 7(석우동)경기도 화성시 석우동 40번지1845037.216496127.079942<NA><NA><NA><NA><NA>
66화성시화성디에스병원지역기관031-5180-7777경기도 화성시 남양읍 시청로160번길 46-13경기도 화성시 남양읍 남양리 2319-2번지1827037.199231126.825712<NA><NA><NA><NA><NA>
67화성시화성중앙종합병원지역기관031-352-8114경기도 화성시 향남읍 발안로 5경기도 화성시 향남읍 평리 74-1번지1859237.13135126.910773<NA><NA><NA><NA><NA>
68광주시참조은병원지역센터031-767-7575경기도 광주시 경광주대로 45<NA><NA><NA><NA><NA><NA><NA><NA><NA>
69포천시경기도의료원 포천병원지역센터031-539-9114경기도 포천시 포천로 1648(신읍동)경기도 포천시 신읍동 243-1번지1114237.903093127.198349<NA><NA><NA><NA><NA>
70포천시우리병원지역기관031-542-0222경기도 포천시 소흘읍 호국로 661경기도 포천시 소흘읍 송우리 116-11번지1117437.827488127.148136<NA><NA><NA><NA><NA>
71여주시세종여주병원지역기관031-885-7977경기도 여주시 청심로 47(하동)경기도 여주시 하동 435-2번지1261837.301328127.626704<NA><NA><NA><NA><NA>
72연천군연천군보건의료원지역기관031-839-4001경기도 연천군 전곡읍 은대성로 95경기도 연천군 전곡읍 은대리 577-36번지1102738.023551127.060986<NA><NA><NA><NA><NA>
73양평군양평병원지역기관031-770-5000경기도 양평군 양평읍 중앙로 129경기도 양평군 양평읍 공흥리 316-2번지1255037.493949127.503484<NA><NA><NA><NA><NA>