Overview

Dataset statistics

Number of variables12
Number of observations827
Missing cells15
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory80.1 KiB
Average record size in memory99.2 B

Variable types

Numeric3
Categorical4
Text5

Dataset

Description대구광역시 달서구 내 의료기관에 대한 내용 및 정보가 담겨있음. (좌표, 기관분류, 기관명, 기관주소, 의료기관분류, 지역, 전화)
Author대구광역시 달서구
URLhttps://www.data.go.kr/data/3040172/fileData.do

Alerts

지역 has constant value ""Constant
기준일자 has constant value ""Constant
기관분류 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
의료기관분류 is highly overall correlated with 기관분류High correlation
순번 is highly overall correlated with 기관분류High correlation
의료기관분류 is highly imbalanced (95.8%)Imbalance
팩스번호 has 14 (1.7%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:03:59.786464
Analysis finished2023-12-12 12:04:01.960465
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct827
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean414
Minimum1
Maximum827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2023-12-12T21:04:02.041972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile42.3
Q1207.5
median414
Q3620.5
95-th percentile785.7
Maximum827
Range826
Interquartile range (IQR)413

Descriptive statistics

Standard deviation238.87863
Coefficient of variation (CV)0.57700152
Kurtosis-1.2
Mean414
Median Absolute Deviation (MAD)207
Skewness0
Sum342378
Variance57063
MonotonicityStrictly increasing
2023-12-12T21:04:02.203825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
557 1
 
0.1%
547 1
 
0.1%
548 1
 
0.1%
549 1
 
0.1%
550 1
 
0.1%
551 1
 
0.1%
552 1
 
0.1%
553 1
 
0.1%
554 1
 
0.1%
Other values (817) 817
98.8%
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 (%)
827 1
0.1%
826 1
0.1%
825 1
0.1%
824 1
0.1%
823 1
0.1%
822 1
0.1%
821 1
0.1%
820 1
0.1%
819 1
0.1%
818 1
0.1%

위도
Real number (ℝ)

Distinct464
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.834831
Minimum35.799005
Maximum35.861705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2023-12-12T21:04:02.385007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.799005
5-th percentile35.807964
Q135.818021
median35.835641
Q335.853546
95-th percentile35.857351
Maximum35.861705
Range0.06269915
Interquartile range (IQR)0.03552486

Descriptive statistics

Standard deviation0.017619614
Coefficient of variation (CV)0.0004916896
Kurtosis-1.5487024
Mean35.834831
Median Absolute Deviation (MAD)0.01781558
Skewness-0.084186585
Sum29635.405
Variance0.00031045079
MonotonicityNot monotonic
2023-12-12T21:04:02.840184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.850369 14
 
1.7%
35.8501251 8
 
1.0%
35.8177804 8
 
1.0%
35.85508885 8
 
1.0%
35.81910639 8
 
1.0%
35.80717774 8
 
1.0%
35.82625298 7
 
0.8%
35.85512544 7
 
0.8%
35.81391552 7
 
0.8%
35.80723419 7
 
0.8%
Other values (454) 745
90.1%
ValueCountFrequency (%)
35.79900542 1
 
0.1%
35.80079285 3
 
0.4%
35.80288797 1
 
0.1%
35.80649591 1
 
0.1%
35.80693632 2
 
0.2%
35.80695534 1
 
0.1%
35.80704047 1
 
0.1%
35.80708707 1
 
0.1%
35.80717774 8
1.0%
35.80723419 7
0.8%
ValueCountFrequency (%)
35.86170457 1
 
0.1%
35.86160717 1
 
0.1%
35.86108125 3
0.4%
35.86096904 1
 
0.1%
35.86094793 1
 
0.1%
35.86088118 1
 
0.1%
35.8606118 2
0.2%
35.86049955 1
 
0.1%
35.85979242 1
 
0.1%
35.85943711 1
 
0.1%

경도
Real number (ℝ)

Distinct463
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.53396
Minimum128.47368
Maximum128.5742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2023-12-12T21:04:03.005418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47368
5-th percentile128.50522
Q1128.52619
median128.53543
Q3128.5457
95-th percentile128.55666
Maximum128.5742
Range0.1005215
Interquartile range (IQR)0.01950525

Descriptive statistics

Standard deviation0.016705221
Coefficient of variation (CV)0.00012996737
Kurtosis0.97680899
Mean128.53396
Median Absolute Deviation (MAD)0.0099467
Skewness-0.5015072
Sum106297.59
Variance0.0002790644
MonotonicityNot monotonic
2023-12-12T21:04:03.155380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.536089 14
 
1.7%
128.5301312 8
 
1.0%
128.539322 8
 
1.0%
128.5078329 8
 
1.0%
128.5370845 8
 
1.0%
128.5359638 8
 
1.0%
128.5291972 7
 
0.8%
128.5055745 7
 
0.8%
128.5246888 7
 
0.8%
128.5354331 7
 
0.8%
Other values (453) 745
90.1%
ValueCountFrequency (%)
128.4736813 6
0.7%
128.4777916 2
 
0.2%
128.4801355 1
 
0.1%
128.4906036 1
 
0.1%
128.4932264 1
 
0.1%
128.495412 2
 
0.2%
128.4954385 1
 
0.1%
128.4975513 1
 
0.1%
128.4986362 1
 
0.1%
128.4986869 1
 
0.1%
ValueCountFrequency (%)
128.5742028 2
0.2%
128.5741205 1
 
0.1%
128.5740952 1
 
0.1%
128.5736516 1
 
0.1%
128.5732946 1
 
0.1%
128.5732847 1
 
0.1%
128.5731899 1
 
0.1%
128.5731042 1
 
0.1%
128.5729722 1
 
0.1%
128.5721578 3
0.4%

기관분류
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
의원
397 
치과의원
203 
한의원
171 
병원
 
26
요양병원
 
14
Other values (4)
 
16

Length

Max length6
Median length2
Mean length2.7726723
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row상급종합병원
2nd row종합병원
3rd row종합병원
4th row종합병원
5th row종합병원

Common Values

ValueCountFrequency (%)
의원 397
48.0%
치과의원 203
24.5%
한의원 171
20.7%
병원 26
 
3.1%
요양병원 14
 
1.7%
종합병원 5
 
0.6%
한방병원 5
 
0.6%
치과병원 5
 
0.6%
상급종합병원 1
 
0.1%

Length

2023-12-12T21:04:03.298844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:04:03.432232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 397
48.0%
치과의원 203
24.5%
한의원 171
20.7%
병원 26
 
3.1%
요양병원 14
 
1.7%
종합병원 5
 
0.6%
한방병원 5
 
0.6%
치과병원 5
 
0.6%
상급종합병원 1
 
0.1%

기관명
Text

Distinct826
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-12T21:04:03.661628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length7.4800484
Min length3

Characters and Unicode

Total characters6186
Distinct characters349
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique825 ?
Unique (%)99.8%

Sample

1st row계명대학교동산병원
2nd row나사렛종합병원
3rd row더블유병원
4th row삼일병원
5th row의료법인구의료재단구병원
ValueCountFrequency (%)
대구경상병원 2
 
0.2%
스마트치과의원 2
 
0.2%
미여성의원 1
 
0.1%
미와건강종합의원 1
 
0.1%
명가마디내과의원 1
 
0.1%
명신의원 1
 
0.1%
미래마취통증의학과의원 1
 
0.1%
미래안과의원 1
 
0.1%
미래연합비뇨기과의원 1
 
0.1%
미래종합의원 1
 
0.1%
Other values (820) 820
98.6%
2023-12-12T21:04:04.043959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 844
 
13.6%
의 819
 
13.2%
과 556
 
9.0%
한 219
 
3.5%
치 211
 
3.4%
이 109
 
1.8%
인 97
 
1.6%
합 90
 
1.5%
정 90
 
1.5%
연 87
 
1.4%
Other values (339) 3064
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6155
99.5%
Decimal Number 12
 
0.2%
Space Separator 5
 
0.1%
Uppercase Letter 5
 
0.1%
Lowercase Letter 4
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 844
 
13.7%
의 819
 
13.3%
과 556
 
9.0%
한 219
 
3.6%
치 211
 
3.4%
이 109
 
1.8%
인 97
 
1.6%
합 90
 
1.5%
정 90
 
1.5%
연 87
 
1.4%
Other values (326) 3033
49.3%
Decimal Number
ValueCountFrequency (%)
3 3
25.0%
6 3
25.0%
5 3
25.0%
0 2
16.7%
1 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
S 4
80.0%
E 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
75.0%
i 1
 
25.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6155
99.5%
Common 22
 
0.4%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 844
 
13.7%
의 819
 
13.3%
과 556
 
9.0%
한 219
 
3.6%
치 211
 
3.4%
이 109
 
1.8%
인 97
 
1.6%
합 90
 
1.5%
정 90
 
1.5%
연 87
 
1.4%
Other values (326) 3033
49.3%
Common
ValueCountFrequency (%)
5
22.7%
3 3
13.6%
6 3
13.6%
5 3
13.6%
( 2
 
9.1%
) 2
 
9.1%
0 2
 
9.1%
1 1
 
4.5%
- 1
 
4.5%
Latin
ValueCountFrequency (%)
S 4
44.4%
e 3
33.3%
E 1
 
11.1%
i 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6155
99.5%
ASCII 31
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 844
 
13.7%
의 819
 
13.3%
과 556
 
9.0%
한 219
 
3.6%
치 211
 
3.4%
이 109
 
1.8%
인 97
 
1.6%
합 90
 
1.5%
정 90
 
1.5%
연 87
 
1.4%
Other values (326) 3033
49.3%
ASCII
ValueCountFrequency (%)
5
16.1%
S 4
12.9%
3 3
9.7%
6 3
9.7%
5 3
9.7%
e 3
9.7%
( 2
 
6.5%
) 2
 
6.5%
0 2
 
6.5%
1 1
 
3.2%
Other values (3) 3
9.7%

기관주소_도로명
Text

Distinct766
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-12T21:04:04.430000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length46
Mean length28.157195
Min length16

Characters and Unicode

Total characters23286
Distinct characters208
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

Unique724 ?
Unique (%)87.5%

Sample

1st row대구광역시 달서구 달구벌대로 1035 (신당동)
2nd row대구광역시 달서구 월배로 97, 나사렛병원 (진천동)
3rd row대구광역시 달서구 달구벌대로 1632 (감삼동)
4th row대구광역시 달서구 월배로 436, 지하1,지상1~11층 (송현동)
5th row대구광역시 달서구 감삼북길 141 (감삼동)
ValueCountFrequency (%)
대구광역시 827
 
17.2%
달서구 827
 
17.2%
월배로 173
 
3.6%
달구벌대로 142
 
3.0%
2층 130
 
2.7%
상인동 119
 
2.5%
이곡동 76
 
1.6%
3층 69
 
1.4%
월성동 66
 
1.4%
두류동 65
 
1.4%
Other values (698) 2307
48.1%
2023-12-12T21:04:05.020672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3974
 
17.1%
구 1836
 
7.9%
대 1057
 
4.5%
달 979
 
4.2%
서 874
 
3.8%
동 863
 
3.7%
광 830
 
3.6%
역 830
 
3.6%
시 829
 
3.6%
로 821
 
3.5%
Other values (198) 10393
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13454
57.8%
Space Separator 3974
 
17.1%
Decimal Number 3526
 
15.1%
Open Punctuation 801
 
3.4%
Close Punctuation 800
 
3.4%
Other Punctuation 673
 
2.9%
Dash Punctuation 23
 
0.1%
Uppercase Letter 20
 
0.1%
Math Symbol 14
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1836
13.6%
대 1057
 
7.9%
달 979
 
7.3%
서 874
 
6.5%
동 863
 
6.4%
광 830
 
6.2%
역 830
 
6.2%
시 829
 
6.2%
로 821
 
6.1%
층 393
 
2.9%
Other values (167) 4142
30.8%
Uppercase Letter
ValueCountFrequency (%)
C 3
15.0%
A 2
10.0%
E 2
10.0%
T 2
10.0%
R 2
10.0%
O 2
10.0%
M 2
10.0%
N 1
 
5.0%
W 1
 
5.0%
L 1
 
5.0%
Other values (2) 2
10.0%
Decimal Number
ValueCountFrequency (%)
1 670
19.0%
2 660
18.7%
3 434
12.3%
0 393
11.1%
4 350
9.9%
6 268
 
7.6%
5 254
 
7.2%
7 205
 
5.8%
9 149
 
4.2%
8 143
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 665
98.8%
· 7
 
1.0%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3974
100.0%
Open Punctuation
ValueCountFrequency (%)
( 801
100.0%
Close Punctuation
ValueCountFrequency (%)
) 800
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13454
57.8%
Common 9811
42.1%
Latin 21
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1836
13.6%
대 1057
 
7.9%
달 979
 
7.3%
서 874
 
6.5%
동 863
 
6.4%
광 830
 
6.2%
역 830
 
6.2%
시 829
 
6.2%
로 821
 
6.1%
층 393
 
2.9%
Other values (167) 4142
30.8%
Common
ValueCountFrequency (%)
3974
40.5%
( 801
 
8.2%
) 800
 
8.2%
1 670
 
6.8%
, 665
 
6.8%
2 660
 
6.7%
3 434
 
4.4%
0 393
 
4.0%
4 350
 
3.6%
6 268
 
2.7%
Other values (8) 796
 
8.1%
Latin
ValueCountFrequency (%)
C 3
14.3%
A 2
9.5%
E 2
9.5%
T 2
9.5%
R 2
9.5%
O 2
9.5%
M 2
9.5%
N 1
 
4.8%
W 1
 
4.8%
L 1
 
4.8%
Other values (3) 3
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13454
57.8%
ASCII 9825
42.2%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3974
40.4%
( 801
 
8.2%
) 800
 
8.1%
1 670
 
6.8%
, 665
 
6.8%
2 660
 
6.7%
3 434
 
4.4%
0 393
 
4.0%
4 350
 
3.6%
6 268
 
2.7%
Other values (20) 810
 
8.2%
Hangul
ValueCountFrequency (%)
구 1836
13.6%
대 1057
 
7.9%
달 979
 
7.3%
서 874
 
6.5%
동 863
 
6.4%
광 830
 
6.2%
역 830
 
6.2%
시 829
 
6.2%
로 821
 
6.1%
층 393
 
2.9%
Other values (167) 4142
30.8%
None
ValueCountFrequency (%)
· 7
100.0%

의료기관분류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
응급의료기관이외
821 
지역응급의료기관
 
5
지역응급의료센터
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row지역응급의료센터
2nd row지역응급의료기관
3rd row지역응급의료기관
4th row지역응급의료기관
5th row지역응급의료기관

Common Values

ValueCountFrequency (%)
응급의료기관이외 821
99.3%
지역응급의료기관 5
 
0.6%
지역응급의료센터 1
 
0.1%

Length

2023-12-12T21:04:05.159147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:04:05.270210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
응급의료기관이외 821
99.3%
지역응급의료기관 5
 
0.6%
지역응급의료센터 1
 
0.1%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
대구
827 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구 827
100.0%

Length

2023-12-12T21:04:05.409461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:04:05.520386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구 827
100.0%

대표전화
Text

Distinct823
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-12T21:04:05.748319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.98549
Min length9

Characters and Unicode

Total characters9912
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

Unique819 ?
Unique (%)99.0%

Sample

1st row1577-6622
2nd row053-643-1400
3rd row053-550-5000
4th row053-659-3100
5th row053-560-9114
ValueCountFrequency (%)
053-620-7300 2
 
0.2%
053-633-7575 2
 
0.2%
053-719-2882 2
 
0.2%
053-591-8700 2
 
0.2%
053-643-5575 1
 
0.1%
053-627-1616 1
 
0.1%
053-632-5577 1
 
0.1%
1577-6622 1
 
0.1%
053-627-0066 1
 
0.1%
053-557-9191 1
 
0.1%
Other values (813) 813
98.3%
2023-12-12T21:04:06.159954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1830
18.5%
- 1650
16.6%
0 1404
14.2%
3 1351
13.6%
6 848
8.6%
2 665
 
6.7%
7 649
 
6.5%
8 539
 
5.4%
1 429
 
4.3%
4 300
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8262
83.4%
Dash Punctuation 1650
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1830
22.1%
0 1404
17.0%
3 1351
16.4%
6 848
10.3%
2 665
 
8.0%
7 649
 
7.9%
8 539
 
6.5%
1 429
 
5.2%
4 300
 
3.6%
9 247
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 1650
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9912
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1830
18.5%
- 1650
16.6%
0 1404
14.2%
3 1351
13.6%
6 848
8.6%
2 665
 
6.7%
7 649
 
6.5%
8 539
 
5.4%
1 429
 
4.3%
4 300
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1830
18.5%
- 1650
16.6%
0 1404
14.2%
3 1351
13.6%
6 848
8.6%
2 665
 
6.7%
7 649
 
6.5%
8 539
 
5.4%
1 429
 
4.3%
4 300
 
3.0%

대표전화2
Text

Distinct823
Distinct (%)99.6%
Missing1
Missing (%)0.1%
Memory size6.6 KiB
2023-12-12T21:04:06.487036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.990315
Min length9

Characters and Unicode

Total characters9904
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

Unique820 ?
Unique (%)99.3%

Sample

1st row053-1577-6622
2nd row053-643-1400
3rd row053-550-5000
4th row053-659-3100
5th row053-560-9114
ValueCountFrequency (%)
053-591-8700 2
 
0.2%
053-719-2882 2
 
0.2%
053-633-7575 2
 
0.2%
053-643-7868 1
 
0.1%
053-643-5575 1
 
0.1%
053-636-2119 1
 
0.1%
053-624-1004 1
 
0.1%
053-1577-6622 1
 
0.1%
053-627-1616 1
 
0.1%
053-557-9191 1
 
0.1%
Other values (813) 813
98.4%
2023-12-12T21:04:07.022889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1828
18.5%
- 1649
16.6%
0 1395
14.1%
3 1352
13.7%
6 854
8.6%
2 664
 
6.7%
7 647
 
6.5%
8 535
 
5.4%
1 430
 
4.3%
4 302
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8255
83.4%
Dash Punctuation 1649
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1828
22.1%
0 1395
16.9%
3 1352
16.4%
6 854
10.3%
2 664
 
8.0%
7 647
 
7.8%
8 535
 
6.5%
1 430
 
5.2%
4 302
 
3.7%
9 248
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 1649
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9904
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1828
18.5%
- 1649
16.6%
0 1395
14.1%
3 1352
13.7%
6 854
8.6%
2 664
 
6.7%
7 647
 
6.5%
8 535
 
5.4%
1 430
 
4.3%
4 302
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1828
18.5%
- 1649
16.6%
0 1395
14.1%
3 1352
13.7%
6 854
8.6%
2 664
 
6.7%
7 647
 
6.5%
8 535
 
5.4%
1 430
 
4.3%
4 302
 
3.0%

팩스번호
Text

MISSING 

Distinct806
Distinct (%)99.1%
Missing14
Missing (%)1.7%
Memory size6.6 KiB
2023-12-12T21:04:07.357003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.03198
Min length12

Characters and Unicode

Total characters9782
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

Unique799 ?
Unique (%)98.3%

Sample

1st row053-258-7130
2nd row053-643-1405
3rd row053-572-7700
4th row053-659-3102
5th row053-558-1163
ValueCountFrequency (%)
053-586-8274 2
 
0.2%
053-623-1177 2
 
0.2%
053-591-8701 2
 
0.2%
053-638-1650 2
 
0.2%
053-635-2875 2
 
0.2%
053-625-3311 2
 
0.2%
053-719-2883 2
 
0.2%
053-641-2020 1
 
0.1%
053-637-7250 1
 
0.1%
053-624-1008 1
 
0.1%
Other values (796) 796
97.9%
2023-12-12T21:04:07.851398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1679
17.2%
- 1626
16.6%
3 1356
13.9%
0 1278
13.1%
6 881
9.0%
2 680
7.0%
7 627
 
6.4%
8 535
 
5.5%
1 476
 
4.9%
4 349
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8156
83.4%
Dash Punctuation 1626
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1679
20.6%
3 1356
16.6%
0 1278
15.7%
6 881
10.8%
2 680
8.3%
7 627
 
7.7%
8 535
 
6.6%
1 476
 
5.8%
4 349
 
4.3%
9 295
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 1626
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9782
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1679
17.2%
- 1626
16.6%
3 1356
13.9%
0 1278
13.1%
6 881
9.0%
2 680
7.0%
7 627
 
6.4%
8 535
 
5.5%
1 476
 
4.9%
4 349
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9782
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1679
17.2%
- 1626
16.6%
3 1356
13.9%
0 1278
13.1%
6 881
9.0%
2 680
7.0%
7 627
 
6.4%
8 535
 
5.5%
1 476
 
4.9%
4 349
 
3.6%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2022-10-05
827 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-05
2nd row2022-10-05
3rd row2022-10-05
4th row2022-10-05
5th row2022-10-05

Common Values

ValueCountFrequency (%)
2022-10-05 827
100.0%

Length

2023-12-12T21:04:08.033899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:04:08.151610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-05 827
100.0%

Interactions

2023-12-12T21:04:01.213978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:04:00.540302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:04:00.868144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:04:01.313596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:04:00.628274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:04:00.984461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:04:01.425274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:04:00.756967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:04:01.104667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:04:08.220104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도기관분류의료기관분류
순번1.0000.2310.1610.8060.242
위도0.2311.0000.7530.0870.191
경도0.1610.7531.0000.4350.556
기관분류0.8060.0870.4351.0001.000
의료기관분류0.2420.1910.5561.0001.000
2023-12-12T21:04:08.332058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관분류의료기관분류
기관분류1.0000.996
의료기관분류0.9961.000
2023-12-12T21:04:08.441251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도기관분류의료기관분류
순번1.000-0.020-0.0440.5370.148
위도-0.0201.0000.0630.0390.115
경도-0.0440.0631.0000.1340.217
기관분류0.5370.0390.1341.0000.996
의료기관분류0.1480.1150.2170.9961.000

Missing values

2023-12-12T21:04:01.558537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:04:01.765506image/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.
2023-12-12T21:04:01.899772image/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

순번위도경도기관분류기관명기관주소_도로명의료기관분류지역대표전화대표전화2팩스번호기준일자
0135.853887128.480135상급종합병원계명대학교동산병원대구광역시 달서구 달구벌대로 1035 (신당동)지역응급의료센터대구1577-6622053-1577-6622053-258-71302022-10-05
1235.814698128.525092종합병원나사렛종합병원대구광역시 달서구 월배로 97, 나사렛병원 (진천동)지역응급의료기관대구053-643-1400053-643-1400053-643-14052022-10-05
2335.852645128.544972종합병원더블유병원대구광역시 달서구 달구벌대로 1632 (감삼동)지역응급의료기관대구053-550-5000053-550-5000053-572-77002022-10-05
3435.832506128.553556종합병원삼일병원대구광역시 달서구 월배로 436, 지하1,지상1~11층 (송현동)지역응급의료기관대구053-659-3100053-659-3100053-659-31022022-10-05
4535.850643128.541383종합병원의료법인구의료재단구병원대구광역시 달서구 감삼북길 141 (감삼동)지역응급의료기관대구053-560-9114053-560-9114053-558-11632022-10-05
5635.802888128.551735종합병원보훈공단 대구보훈병원대구광역시 달서구 월곡로 60 (도원동)지역응급의료기관대구053-630-7000053-630-7000053-630-70892022-10-05
6735.813453128.525239병원보강병원대구광역시 달서구 월배로 102 (진천동)응급의료기관이외대구053-641-9200053-641-9200053-641-92472022-10-05
7835.813299128.521321병원달서미즈맘병원대구광역시 달서구 월배로 62 (진천동)응급의료기관이외대구053-609-5000053-609-5000053-635-41492022-10-05
8935.850525128.539511병원더나은병원대구광역시 달서구 달구벌대로 1576 (감삼동)응급의료기관이외대구053-563-1000053-563-1000053-563-01002022-10-05
91035.851106128.538563병원더열린병원대구광역시 달서구 달구벌대로 1571, 더열린병원 (죽전동)응급의료기관이외대구053-555-5520053-555-5520053-555-55262022-10-05
순번위도경도기관분류기관명기관주소_도로명의료기관분류지역대표전화대표전화2팩스번호기준일자
81781835.813916128.524689의원혜민내과의원대구광역시 달서구 월배로 92 (진천동)응급의료기관이외대구053-632-7585053-632-7585053-632-95852022-10-05
81881935.810618128.546665의원혜성소아청소년과의원대구광역시 달서구 월곡로32길 2응급의료기관이외대구053-633-6480053-633-6480053-634-64802022-10-05
81982035.807628128.517687의원혜인가정의학과의원대구광역시 달서구 상화로8길 23, 204호 (대곡동)응급의료기관이외대구053-633-0070053-633-0070053-633-00782022-10-05
82082135.851611128.501013의원홍외과의원대구광역시 달서구 달구벌대로 1222 (이곡동)응급의료기관이외대구053-582-3638053-582-3638053-585-84512022-10-05
82182235.816177128.531034의원화성연합의원대구광역시 달서구 월배로 154 (상인동)응급의료기관이외대구053-644-7554053-644-7554053-644-75582022-10-05
82282335.807178128.535964의원황준구안과의원대구광역시 달서구 도원로 29 (도원동)응급의료기관이외대구053-634-1314053-634-1314053-634-13142022-10-05
82382435.809102128.512264의원황진복소아청소년과의원대구광역시 달서구 비슬로 2716, 2층 (대곡동)응급의료기관이외대구053-643-7868053-643-7868053-643-78672022-10-05
82482535.855089128.507833의원효경산부인과의원대구광역시 달서구 성서로 420 (이곡동)응급의료기관이외대구053-588-9666053-588-9666053-588-95552022-10-05
82582635.829885128.551269의원효성신경정신과의원대구광역시 달서구 월배로 400 (송현동)응급의료기관이외대구053-654-6973053-654-6973053-654-69752022-10-05
82682735.849342128.533923의원효성이비인후과의원대구광역시 달서구 달구벌대로 1530 (감삼동)응급의료기관이외대구053-555-3240053-555-3240053-555-32402022-10-05