Overview

Dataset statistics

Number of variables5
Number of observations90
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory42.5 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description인천광역시 동구 관내에 위치한 의료기관(종합병원, 의원, 치과의원, 한의원 등)현황 데이터로, 종별, 의료기관명, 소재지, 전화번호 등 항목을 제공합니다.
Author인천광역시 동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15051493&srcSe=7661IVAWM27C61E190

Alerts

순번 is highly overall correlated with 종별High correlation
종별 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
의료기관명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 03:20:17.995496
Analysis finished2024-03-18 03:20:20.047130
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.5
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-03-18T12:20:20.122835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.45
Q123.25
median45.5
Q367.75
95-th percentile85.55
Maximum90
Range89
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation26.124701
Coefficient of variation (CV)0.57416925
Kurtosis-1.2
Mean45.5
Median Absolute Deviation (MAD)22.5
Skewness0
Sum4095
Variance682.5
MonotonicityStrictly increasing
2024-03-18T12:20:20.246908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
69 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
Other values (80) 80
88.9%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%

종별
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size852.0 B
의원
43 
치과의원
25 
한의원
20 
종합병원
 
2

Length

Max length4
Median length3
Mean length2.8222222
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 43
47.8%
치과의원 25
27.8%
한의원 20
22.2%
종합병원 2
 
2.2%

Length

2024-03-18T12:20:20.357714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:20:20.463188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 43
47.8%
치과의원 25
27.8%
한의원 20
22.2%
종합병원 2
 
2.2%

의료기관명
Text

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-03-18T12:20:20.666280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length7.0444444
Min length3

Characters and Unicode

Total characters634
Distinct characters147
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)100.0%

Sample

1st row인천광역시의료원
2nd row의료법인 성수의료재단 인천백병원
3rd row이영우내과의원
4th row황호연산부인과의원
5th row동인의원
ValueCountFrequency (%)
인천광역시의료원 1
 
1.1%
세정굿모닝치과의원 1
 
1.1%
엠플러스치과의원 1
 
1.1%
친절한홍치과의원 1
 
1.1%
미드림치과의원 1
 
1.1%
현대치과의원 1
 
1.1%
백치과의원 1
 
1.1%
송림푸른하늘치과의원 1
 
1.1%
젠치과의원 1
 
1.1%
서울수치과의원 1
 
1.1%
Other values (83) 83
89.2%
2024-03-18T12:20:20.974715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
 
14.5%
90
 
14.2%
52
 
8.2%
25
 
3.9%
22
 
3.5%
17
 
2.7%
10
 
1.6%
9
 
1.4%
9
 
1.4%
9
 
1.4%
Other values (137) 299
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 626
98.7%
Space Separator 3
 
0.5%
Decimal Number 3
 
0.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
92
 
14.7%
90
 
14.4%
52
 
8.3%
25
 
4.0%
22
 
3.5%
17
 
2.7%
10
 
1.6%
9
 
1.4%
9
 
1.4%
9
 
1.4%
Other values (132) 291
46.5%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 626
98.7%
Common 8
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
92
 
14.7%
90
 
14.4%
52
 
8.3%
25
 
4.0%
22
 
3.5%
17
 
2.7%
10
 
1.6%
9
 
1.4%
9
 
1.4%
9
 
1.4%
Other values (132) 291
46.5%
Common
ValueCountFrequency (%)
3
37.5%
0 2
25.0%
( 1
 
12.5%
1 1
 
12.5%
) 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 626
98.7%
ASCII 8
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
92
 
14.7%
90
 
14.4%
52
 
8.3%
25
 
4.0%
22
 
3.5%
17
 
2.7%
10
 
1.6%
9
 
1.4%
9
 
1.4%
9
 
1.4%
Other values (132) 291
46.5%
ASCII
ValueCountFrequency (%)
3
37.5%
0 2
25.0%
( 1
 
12.5%
1 1
 
12.5%
) 1
 
12.5%
Distinct87
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-03-18T12:20:21.219970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length27.266667
Min length19

Characters and Unicode

Total characters2454
Distinct characters106
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

Unique84 ?
Unique (%)93.3%

Sample

1st row인천광역시 동구 방축로 217 (송림동, 인천광역시 의료원)
2nd row인천광역시 동구 샛골로 214 (송림동)
3rd row인천광역시 동구 송현로16번길 10-1 (송현동)
4th row인천광역시 동구 샛골로 188 (송림동)
5th row인천광역시 동구 수문통로 58, 2,3층 (송현동)
ValueCountFrequency (%)
인천광역시 91
17.2%
동구 90
17.0%
송림동 46
 
8.7%
송림로 30
 
5.7%
송현동 20
 
3.8%
2층 15
 
2.8%
샛골로 14
 
2.6%
화도진로 10
 
1.9%
96 9
 
1.7%
화수동 7
 
1.3%
Other values (131) 198
37.4%
2024-03-18T12:20:21.578356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
440
17.9%
185
 
7.5%
125
 
5.1%
94
 
3.8%
93
 
3.8%
92
 
3.7%
92
 
3.7%
92
 
3.7%
92
 
3.7%
90
 
3.7%
Other values (96) 1059
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1422
57.9%
Space Separator 440
 
17.9%
Decimal Number 313
 
12.8%
Close Punctuation 89
 
3.6%
Open Punctuation 89
 
3.6%
Other Punctuation 85
 
3.5%
Dash Punctuation 14
 
0.6%
Math Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
185
13.0%
125
 
8.8%
94
 
6.6%
93
 
6.5%
92
 
6.5%
92
 
6.5%
92
 
6.5%
92
 
6.5%
90
 
6.3%
86
 
6.0%
Other values (78) 381
26.8%
Decimal Number
ValueCountFrequency (%)
1 73
23.3%
3 44
14.1%
2 42
13.4%
0 31
9.9%
4 29
 
9.3%
8 23
 
7.3%
9 21
 
6.7%
6 21
 
6.7%
7 15
 
4.8%
5 14
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 84
98.8%
/ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
440
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1422
57.9%
Common 1031
42.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
185
13.0%
125
 
8.8%
94
 
6.6%
93
 
6.5%
92
 
6.5%
92
 
6.5%
92
 
6.5%
92
 
6.5%
90
 
6.3%
86
 
6.0%
Other values (78) 381
26.8%
Common
ValueCountFrequency (%)
440
42.7%
) 89
 
8.6%
( 89
 
8.6%
, 84
 
8.1%
1 73
 
7.1%
3 44
 
4.3%
2 42
 
4.1%
0 31
 
3.0%
4 29
 
2.8%
8 23
 
2.2%
Other values (7) 87
 
8.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1422
57.9%
ASCII 1032
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
440
42.6%
) 89
 
8.6%
( 89
 
8.6%
, 84
 
8.1%
1 73
 
7.1%
3 44
 
4.3%
2 42
 
4.1%
0 31
 
3.0%
4 29
 
2.8%
8 23
 
2.2%
Other values (8) 88
 
8.5%
Hangul
ValueCountFrequency (%)
185
13.0%
125
 
8.8%
94
 
6.6%
93
 
6.5%
92
 
6.5%
92
 
6.5%
92
 
6.5%
92
 
6.5%
90
 
6.3%
86
 
6.0%
Other values (78) 381
26.8%
Distinct88
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-03-18T12:20:21.770817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1080
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

Unique86 ?
Unique (%)95.6%

Sample

1st row032-580-6000
2nd row032-765-7070
3rd row032-773-0070
4th row032-773-3222
5th row032-763-3627
ValueCountFrequency (%)
032-773-7570 2
 
2.2%
032-762-0971 2
 
2.2%
032-766-1070 1
 
1.1%
032-773-2275 1
 
1.1%
032-777-7522 1
 
1.1%
032-762-2879 1
 
1.1%
032-773-8333 1
 
1.1%
032-777-9171 1
 
1.1%
032-773-7528 1
 
1.1%
032-773-1269 1
 
1.1%
Other values (78) 78
86.7%
2024-03-18T12:20:22.106960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/