Overview

Dataset statistics

Number of variables6
Number of observations180
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory49.7 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description보령시 진단용방사선발생장치및특수의료장비현황(의료기관명, 주소, 연락처, 의료장비명)에 대한 데이터 입니다.
URLhttps://www.data.go.kr/data/15036098/fileData.do

Alerts

일련번호 is highly overall correlated with 장비구분 and 1 other fieldsHigh correlation
장비구분 is highly overall correlated with 일련번호 and 1 other fieldsHigh correlation
의료장비명 is highly overall correlated with 일련번호 and 1 other fieldsHigh correlation
장비구분 is highly imbalanced (64.7%)Imbalance
일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:01:43.829703
Analysis finished2023-12-12 08:01:44.413236
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct180
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.5
Minimum1
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T17:01:44.482953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.95
Q145.75
median90.5
Q3135.25
95-th percentile171.05
Maximum180
Range179
Interquartile range (IQR)89.5

Descriptive statistics

Standard deviation52.105662
Coefficient of variation (CV)0.57575317
Kurtosis-1.2
Mean90.5
Median Absolute Deviation (MAD)45
Skewness0
Sum16290
Variance2715
MonotonicityStrictly increasing
2023-12-12T17:01:44.651608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
115 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
122 1
 
0.6%
123 1
 
0.6%
124 1
 
0.6%
Other values (170) 170
94.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
180 1
0.6%
179 1
0.6%
178 1
0.6%
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
Distinct74
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T17:01:44.972428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length8.15
Min length4

Characters and Unicode

Total characters1467
Distinct characters132
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)9.4%

Sample

1st row미플러스치과의원
2nd row신제일병원
3rd row조은치과의원
4th row대천치과의원
5th row유충배치과의원
ValueCountFrequency (%)
재단법인아산사회복지재단보령아산병원 10
 
5.2%
신제일병원 9
 
4.6%
의료법인 6
 
3.1%
삼환의료재단 6
 
3.1%
대천중앙병원 6
 
3.1%
한양마취통증의학과의원 5
 
2.6%
대천방사선과의원 4
 
2.1%
대천배방사선과의원 4
 
2.1%
그랜드치과의원 4
 
2.1%
대천삼성치과의원 4
 
2.1%
Other values (67) 136
70.1%
2023-12-12T17:01:45.479435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
12.4%
172
 
11.7%
133
 
9.1%
63
 
4.3%
36
 
2.5%
31
 
2.1%
30
 
2.0%
29
 
2.0%
28
 
1.9%
26
 
1.8%
Other values (122) 737
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1453
99.0%
Space Separator 14
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
182
 
12.5%
172
 
11.8%
133
 
9.2%
63
 
4.3%
36
 
2.5%
31
 
2.1%
30
 
2.1%
29
 
2.0%
28
 
1.9%
26
 
1.8%
Other values (121) 723
49.8%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1453
99.0%
Common 14
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
182
 
12.5%
172
 
11.8%
133
 
9.2%
63
 
4.3%
36
 
2.5%
31
 
2.1%
30
 
2.1%
29
 
2.0%
28
 
1.9%
26
 
1.8%
Other values (121) 723
49.8%
Common
ValueCountFrequency (%)
14
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1453
99.0%
ASCII 14
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
182
 
12.5%
172
 
11.8%
133
 
9.2%
63
 
4.3%
36
 
2.5%
31
 
2.1%
30
 
2.1%
29
 
2.0%
28
 
1.9%
26
 
1.8%
Other values (121) 723
49.8%
ASCII
ValueCountFrequency (%)
14
100.0%
Distinct70
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T17:01:45.837588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length21
Mean length22.627778
Min length20

Characters and Unicode

Total characters4073
Distinct characters93
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

Unique17 ?
Unique (%)9.4%

Sample

1st row충청남도 보령시 중앙로 82 (대천동)
2nd row충청남도 보령시 대해로 52 (궁촌동)
3rd row충청남도 보령시 중앙로 51 (동대동)
4th row충청남도 보령시 번영로 25 (대천동)
5th row충청남도 보령시 대천로 14 (대천동)
ValueCountFrequency (%)
충청남도 180
19.1%
보령시 180
19.1%
대천동 92
 
9.8%
동대동 34
 
3.6%
중앙로 24
 
2.5%
번영로 23
 
2.4%
대천로 18
 
1.9%
남대천로 15
 
1.6%
2층 15
 
1.6%
웅천읍 12
 
1.3%
Other values (96) 349
37.0%
2023-12-12T17:01:46.327935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
762
18.7%
202
 
5.0%
197
 
4.8%
189
 
4.6%
186
 
4.6%
184
 
4.5%
183
 
4.5%
182
 
4.5%
180
 
4.4%
180
 
4.4%
Other values (83) 1628
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2483
61.0%
Space Separator 762
 
18.7%
Decimal Number 443
 
10.9%
Open Punctuation 161
 
4.0%
Close Punctuation 161
 
4.0%
Other Punctuation 55
 
1.4%
Dash Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
202
 
8.1%
197
 
7.9%
189
 
7.6%
186
 
7.5%
184
 
7.4%
183
 
7.4%
182
 
7.3%
180
 
7.2%
180
 
7.2%
156
 
6.3%
Other values (68) 644
25.9%
Decimal Number
ValueCountFrequency (%)
2 80
18.1%
3 76
17.2%
1 74
16.7%
6 52
11.7%
5 37
8.4%
9 32
 
7.2%
4 30
 
6.8%
8 29
 
6.5%
7 17
 
3.8%
0 16
 
3.6%
Space Separator
ValueCountFrequency (%)
762
100.0%
Open Punctuation
ValueCountFrequency (%)
( 161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 161
100.0%
Other Punctuation
ValueCountFrequency (%)
, 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2483
61.0%
Common 1590
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
202
 
8.1%
197
 
7.9%
189
 
7.6%
186
 
7.5%
184
 
7.4%
183
 
7.4%
182
 
7.3%
180
 
7.2%
180
 
7.2%
156
 
6.3%
Other values (68) 644
25.9%
Common
ValueCountFrequency (%)
762
47.9%
( 161
 
10.1%
) 161
 
10.1%
2 80
 
5.0%
3 76
 
4.8%
1 74
 
4.7%
, 55
 
3.5%
6 52
 
3.3%
5 37
 
2.3%
9 32
 
2.0%
Other values (5) 100
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2483
61.0%
ASCII 1590
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
762
47.9%
( 161
 
10.1%
) 161
 
10.1%
2 80
 
5.0%
3 76
 
4.8%
1 74
 
4.7%
, 55
 
3.5%
6 52
 
3.3%
5 37
 
2.3%
9 32
 
2.0%
Other values (5) 100
 
6.3%
Hangul
ValueCountFrequency (%)
202
 
8.1%
197
 
7.9%
189
 
7.6%
186
 
7.5%
184
 
7.4%
183
 
7.4%
182
 
7.3%
180
 
7.2%
180
 
7.2%
156
 
6.3%
Other values (68) 644
25.9%
Distinct74
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T17:01:46.618668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2160
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

Unique17 ?
Unique (%)9.4%

Sample

1st row041-935-2080
2nd row041-931-8330
3rd row041-934-2875
4th row041-935-5658
5th row041-931-3141
ValueCountFrequency (%)
041-930-5114 10
 
5.6%
041-931-8330 9
 
5.0%
041-936-2222 6
 
3.3%
041-935-5536 5
 
2.8%
041-931-2002 4
 
2.2%
041-927-2277 4
 
2.2%
041-936-6565 4
 
2.2%
041-932-9777 4
 
2.2%
041-934-2875 3
 
1.7%
041-934-8275 3
 
1.7%
Other values (64) 128
71.1%
2023-12-12T17:01:47.044100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 360
16.7%
1 302
14.0%
0 271
12.5%
3 255
11.8%
4 219
10.1%
9 216
10.0%
2 138
 
6.4%
5 128
 
5.9%
7 119
 
5.5%
8 94
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1800
83.3%
Dash Punctuation 360
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 302
16.8%
0 271
15.1%
3 255
14.2%
4 219
12.2%
9 216
12.0%
2 138
7.7%
5 128
7.1%
7 119
 
6.6%
8 94
 
5.2%
6 58
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 360
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2160
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 360
16.7%
1 302
14.0%
0 271
12.5%
3 255
11.8%
4 219
10.1%
9 216
10.0%
2 138
 
6.4%
5 128
 
5.9%
7 119
 
5.5%
8 94
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 360
16.7%
1 302
14.0%
0 271
12.5%
3 255
11.8%
4 219
10.1%
9 216
10.0%
2 138
 
6.4%
5 128
 
5.9%
7 119
 
5.5%
8 94
 
4.4%

장비구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
진단용 방사선
168 
특수의료장비
 
12

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row진단용 방사선
2nd row진단용 방사선
3rd row진단용 방사선
4th row진단용 방사선
5th row진단용 방사선

Common Values

ValueCountFrequency (%)
진단용 방사선 168
93.3%
특수의료장비 12
 
6.7%

Length

2023-12-12T17:01:47.241385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:01:47.374599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진단용 168
48.3%
방사선 168
48.3%
특수의료장비 12
 
3.4%

의료장비명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
진단용 엑스선 발생기
67 
진단용 엑스선 장치
50 
치과진단용 엑스선 발생장치
24 
전산화 단층 촬영장치
20 
유방촬영용장치
 
6
Other values (8)
13 

Length

Max length18
Median length15
Mean length11
Min length7

Unique

Unique4 ?
Unique (%)2.2%

Sample

1st row포터블엑스선촬영장치
2nd row포터블엑스선촬영장치
3rd row치과진단용X선발생장치
4th row치과진단용X선발생장치
5th row치과진단용 엑스선 발생장치

Common Values

ValueCountFrequency (%)
진단용 엑스선 발생기 67
37.2%
진단용 엑스선 장치 50
27.8%
치과진단용 엑스선 발생장치 24
 
13.3%
전산화 단층 촬영장치 20
 
11.1%
유방촬영용장치 6
 
3.3%
유방촬영용 장치 3
 
1.7%
포터블엑스선촬영장치 2
 
1.1%
치과진단용X선발생장치 2
 
1.1%
치과용 전산화 단층 촬영장치 2
 
1.1%
진단용엑스선촬영장치 1
 
0.6%
Other values (3) 3
 
1.7%

Length

2023-12-12T17:01:47.519720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
엑스선 141
27.4%
진단용 117
22.8%
발생기 67
13.0%
장치 53
 
10.3%
치과진단용 24
 
4.7%
발생장치 24
 
4.7%
전산화 23
 
4.5%
단층 23
 
4.5%
촬영장치 23
 
4.5%
유방촬영용장치 6
 
1.2%
Other values (8) 13
 
2.5%

Interactions

2023-12-12T17:01:44.162765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:01:47.624335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호의료기관명의료기관 주소전화번호장비구분의료장비명
일련번호1.0000.5730.6160.5730.9380.831
의료기관명0.5731.0001.0001.0000.0000.590
의료기관 주소0.6161.0001.0001.0000.0000.612
전화번호0.5731.0001.0001.0000.0000.590
장비구분0.9380.0000.0000.0001.0000.881
의료장비명0.8310.5900.6120.5900.8811.000
2023-12-12T17:01:47.768387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료장비명장비구분
의료장비명1.0000.842
장비구분0.8421.000
2023-12-12T17:01:47.879381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호장비구분의료장비명
일련번호1.0000.7720.535
장비구분0.7721.0000.842
의료장비명0.5350.8421.000

Missing values

2023-12-12T17:01:44.271883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:01:44.372610image/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.

Sample

일련번호의료기관명의료기관 주소전화번호장비구분의료장비명
01미플러스치과의원충청남도 보령시 중앙로 82 (대천동)041-935-2080진단용 방사선포터블엑스선촬영장치
12신제일병원충청남도 보령시 대해로 52 (궁촌동)041-931-8330진단용 방사선포터블엑스선촬영장치
23조은치과의원충청남도 보령시 중앙로 51 (동대동)041-934-2875진단용 방사선치과진단용X선발생장치
34대천치과의원충청남도 보령시 번영로 25 (대천동)041-935-5658진단용 방사선치과진단용X선발생장치
45유충배치과의원충청남도 보령시 대천로 14 (대천동)041-931-3141진단용 방사선치과진단용 엑스선 발생장치
56그랜드치과의원충청남도 보령시 희망1길 8, 2,3,4층 (동대동)041-927-2277진단용 방사선치과진단용 엑스선 발생장치
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