Overview

Dataset statistics

Number of variables11
Number of observations404
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.0 KiB
Average record size in memory91.3 B

Variable types

Numeric3
Categorical3
Text4
DateTime1

Dataset

Description대전광역시 서구 치매시설 현황(시설구분명, 시설명, 지번주소, 도로명주소, 행정동코드, 행정동명, 법정동코드, 법정동명, 전화번호) 데이터입니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15108205/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 시설구분명High correlation
행정동코드 is highly overall correlated with 법정동코드 and 2 other fieldsHigh correlation
법정동코드 is highly overall correlated with 행정동코드 and 2 other fieldsHigh correlation
시설구분명 is highly overall correlated with 순번High correlation
행정동명 is highly overall correlated with 행정동코드 and 2 other fieldsHigh correlation
법정동명 is highly overall correlated with 행정동코드 and 2 other fieldsHigh correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:15:55.317392
Analysis finished2023-12-12 13:15:57.490368
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct404
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.5
Minimum1
Maximum404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T22:15:57.602848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.15
Q1101.75
median202.5
Q3303.25
95-th percentile383.85
Maximum404
Range403
Interquartile range (IQR)201.5

Descriptive statistics

Standard deviation116.769
Coefficient of variation (CV)0.57663705
Kurtosis-1.2
Mean202.5
Median Absolute Deviation (MAD)101
Skewness0
Sum81810
Variance13635
MonotonicityStrictly increasing
2023-12-12T22:15:57.772695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
268 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
276 1
 
0.2%
275 1
 
0.2%
274 1
 
0.2%
273 1
 
0.2%
272 1
 
0.2%
271 1
 
0.2%
Other values (394) 394
97.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
404 1
0.2%
403 1
0.2%
402 1
0.2%
401 1
0.2%
400 1
0.2%
399 1
0.2%
398 1
0.2%
397 1
0.2%
396 1
0.2%
395 1
0.2%

시설구분명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
방문요양
131 
방문목욕
104 
주야간
46 
노인요양시설
29 
행정복지
24 
Other values (14)
70 

Length

Max length10
Median length4
Mean length4.2277228
Min length2

Unique

Unique6 ?
Unique (%)1.5%

Sample

1st row안심센터
2nd row요양병원
3rd row요양병원
4th row요양병원
5th row요양병원

Common Values

ValueCountFrequency (%)
방문요양 131
32.4%
방문목욕 104
25.7%
주야간 46
 
11.4%
노인요양시설 29
 
7.2%
행정복지 24
 
5.9%
복지용구 18
 
4.5%
노인요양공동생활가정 14
 
3.5%
요양병원 10
 
2.5%
방문간호 9
 
2.2%
종합복지 6
 
1.5%
Other values (9) 13
 
3.2%

Length

2023-12-12T22:15:57.931618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방문요양 131
32.4%
방문목욕 104
25.7%
주야간 46
 
11.4%
노인요양시설 29
 
7.2%
행정복지 24
 
5.9%
복지용구 18
 
4.5%
노인요양공동생활가정 14
 
3.5%
요양병원 10
 
2.5%
방문간호 9
 
2.2%
종합복지 6
 
1.5%
Other values (9) 13
 
3.2%

시설명
Text

Distinct268
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T22:15:58.179690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length9.5965347
Min length4

Characters and Unicode

Total characters3877
Distinct characters241
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

Unique160 ?
Unique (%)39.6%

Sample

1st row대전광역시 서구 치매안심센터
2nd row둔산요양병원
3rd row보아스요양병원
4th row성심요양병원
5th row둔산엔젤요양병원
ValueCountFrequency (%)
서구 25
 
5.2%
재가노인복지센터 6
 
1.3%
노인복지센터 5
 
1.0%
가나안노인복지센터 5
 
1.0%
대전사랑의손길 4
 
0.8%
의료법인 4
 
0.8%
유앤아이주간보호센터 4
 
0.8%
대전간호요양센터 3
 
0.6%
노인주야간보호센터 3
 
0.6%
집 3
 
0.6%
Other values (278) 415
87.0%
2023-12-12T22:15:58.582242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
센 314
 
8.1%
터 314
 
8.1%
복 242
 
6.2%
지 239
 
6.2%
인 174
 
4.5%
노 163
 
4.2%
가 157
 
4.0%
재 129
 
3.3%
73
 
1.9%
호 70
 
1.8%
Other values (231) 2002
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3745
96.6%
Space Separator 73
 
1.9%
Decimal Number 26
 
0.7%
Uppercase Letter 10
 
0.3%
Other Punctuation 7
 
0.2%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%
Lowercase Letter 4
 
0.1%
Control 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
센 314
 
8.4%
터 314
 
8.4%
복 242
 
6.5%
지 239
 
6.4%
인 174
 
4.6%
노 163
 
4.4%
가 157
 
4.2%
재 129
 
3.4%
호 70
 
1.9%
주 64
 
1.7%
Other values (215) 1879
50.2%
Uppercase Letter
ValueCountFrequency (%)
I 2
20.0%
S 2
20.0%
C 2
20.0%
R 2
20.0%
T 2
20.0%
Decimal Number
ValueCountFrequency (%)
1 10
38.5%
0 8
30.8%
2 6
23.1%
3 2
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
h 2
50.0%
Space Separator
ValueCountFrequency (%)
73
100.0%
Other Punctuation
ValueCountFrequency (%)
' 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3745
96.6%
Common 118
 
3.0%
Latin 14
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
센 314
 
8.4%
터 314
 
8.4%
복 242
 
6.5%
지 239
 
6.4%
인 174
 
4.6%
노 163
 
4.4%
가 157
 
4.2%
재 129
 
3.4%
호 70
 
1.9%
주 64
 
1.7%
Other values (215) 1879
50.2%
Common
ValueCountFrequency (%)
73
61.9%
1 10
 
8.5%
0 8
 
6.8%
' 7
 
5.9%
2 6
 
5.1%
( 5
 
4.2%
) 5
 
4.2%
3 2
 
1.7%
2
 
1.7%
Latin
ValueCountFrequency (%)
I 2
14.3%
S 2
14.3%
C 2
14.3%
e 2
14.3%
h 2
14.3%
R 2
14.3%
T 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3745
96.6%
ASCII 132
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
센 314
 
8.4%
터 314
 
8.4%
복 242
 
6.5%
지 239
 
6.4%
인 174
 
4.6%
노 163
 
4.4%
가 157
 
4.2%
재 129
 
3.4%
호 70
 
1.9%
주 64
 
1.7%
Other values (215) 1879
50.2%
ASCII
ValueCountFrequency (%)
73
55.3%
1 10
 
7.6%
0 8
 
6.1%
' 7
 
5.3%
2 6
 
4.5%
( 5
 
3.8%
) 5
 
3.8%
3 2
 
1.5%
2
 
1.5%
I 2
 
1.5%
Other values (6) 12
 
9.1%

지번주소
Text

Distinct238
Distinct (%)58.9%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T22:15:58.994787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length17.193069
Min length14

Characters and Unicode

Total characters6946
Distinct characters65
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

Unique124 ?
Unique (%)30.7%

Sample

1st row대전광역시 서구 둔산동 1300
2nd row대전광역시 서구 둔산1동 1419
3rd row대전광역시 서구 변동 12-9
4th row대전광역시 서구 갈마동 362-1
5th row대전광역시 서구 둔산동 1368 건국타워 9~11층
ValueCountFrequency (%)
대전광역시 404
25.0%
서구 404
25.0%
월평동 61
 
3.8%
도마동 43
 
2.7%
둔산동 31
 
1.9%
변동 30
 
1.9%
관저동 28
 
1.7%
가수원동 26
 
1.6%
정림동 26
 
1.6%
탄방동 22
 
1.4%
Other values (248) 544
33.6%
2023-12-12T22:15:59.660917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1216
17.5%
대 404
 
5.8%
광 404
 
5.8%
역 404
 
5.8%
시 404
 
5.8%
서 404
 
5.8%
구 404
 
5.8%
전 404
 
5.8%
동 403
 
5.8%
1 308
 
4.4%
Other values (55) 2191
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4031
58.0%
Decimal Number 1505
 
21.7%
Space Separator 1216
 
17.5%
Dash Punctuation 193
 
2.8%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 404
10.0%
광 404
10.0%
역 404
10.0%
시 404
10.0%
서 404
10.0%
구 404
10.0%
전 404
10.0%
동 403
10.0%
마 64
 
1.6%
월 61
 
1.5%
Other values (42) 675
16.7%
Decimal Number
ValueCountFrequency (%)
1 308
20.5%
2 200
13.3%
3 174
11.6%
4 148
9.8%
9 142
9.4%
5 122
 
8.1%
8 117
 
7.8%
0 108
 
7.2%
7 99
 
6.6%
6 87
 
5.8%
Space Separator
ValueCountFrequency (%)
1216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 193
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4031
58.0%
Common 2915
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 404
10.0%
광 404
10.0%
역 404
10.0%
시 404
10.0%
서 404
10.0%
구 404
10.0%
전 404
10.0%
동 403
10.0%
마 64
 
1.6%
월 61
 
1.5%
Other values (42) 675
16.7%
Common
ValueCountFrequency (%)
1216
41.7%
1 308
 
10.6%
2 200
 
6.9%
- 193
 
6.6%
3 174
 
6.0%
4 148
 
5.1%
9 142
 
4.9%
5 122
 
4.2%
8 117
 
4.0%
0 108
 
3.7%
Other values (3) 187
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4031
58.0%
ASCII 2915
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1216
41.7%
1 308
 
10.6%
2 200
 
6.9%
- 193
 
6.6%
3 174
 
6.0%
4 148
 
5.1%
9 142
 
4.9%
5 122
 
4.2%
8 117
 
4.0%
0 108
 
3.7%
Other values (3) 187
 
6.4%
Hangul
ValueCountFrequency (%)
대 404
10.0%
광 404
10.0%
역 404
10.0%
시 404
10.0%
서 404
10.0%
구 404
10.0%
전 404
10.0%
동 403
10.0%
마 64
 
1.6%
월 61
 
1.5%
Other values (42) 675
16.7%

도로명주소
Text

Distinct339
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T22:15:59.989315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length26.663366
Min length14

Characters and Unicode

Total characters10772
Distinct characters177
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique285 ?
Unique (%)70.5%

Sample

1st row대전광역시 서구 둔산서로 100 (둔산동, 서구청) 건강체련관 3층
2nd row대전광역시 서구 둔산중로 38 (둔산동)
3rd row대전광역시 서구 도산로 224 (변동)
4th row대전광역시 서구 갈마로 45-0 (갈마동)
5th row대전 서구 대덕대로 244 건국타워 9~11층(둔산동)
ValueCountFrequency (%)
서구 404
 
18.3%
대전광역시 403
 
18.3%
월평동 49
 
2.2%
도마동 35
 
1.6%
2층 31
 
1.4%
3층 28
 
1.3%
정림동 22
 
1.0%
가수원동 22
 
1.0%
101호 22
 
1.0%
변동 21
 
1.0%
Other values (439) 1166
52.9%
2023-12-12T22:16:00.535508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2032
18.9%
대 463
 
4.3%
1 445
 
4.1%
서 440
 
4.1%
동 410
 
3.8%
전 409
 
3.8%
구 409
 
3.8%
시 406
 
3.8%
역 404
 
3.8%
광 403
 
3.7%
Other values (167) 4951
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6019
55.9%
Space Separator 2032
 
18.9%
Decimal Number 1932
 
17.9%
Close Punctuation 337
 
3.1%
Open Punctuation 337
 
3.1%
Dash Punctuation 54
 
0.5%
Other Punctuation 52
 
0.5%
Uppercase Letter 4
 
< 0.1%
Math Symbol 3
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 463
 
7.7%
서 440
 
7.3%
동 410
 
6.8%
전 409
 
6.8%
구 409
 
6.8%
시 406
 
6.7%
역 404
 
6.7%
광 403
 
6.7%
로 363
 
6.0%
길 181
 
3.0%
Other values (148) 2131
35.4%
Decimal Number
ValueCountFrequency (%)
1 445
23.0%
2 265
13.7%
0 249
12.9%
3 210
10.9%
5 161
 
8.3%
4 161
 
8.3%
6 156
 
8.1%
7 111
 
5.7%
8 92
 
4.8%
9 82
 
4.2%
Space Separator
ValueCountFrequency (%)
2032
100.0%
Close Punctuation
ValueCountFrequency (%)
) 337
100.0%
Open Punctuation
ValueCountFrequency (%)
( 337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 52
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6019
55.9%
Common 4747
44.1%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 463
 
7.7%
서 440
 
7.3%
동 410
 
6.8%
전 409
 
6.8%
구 409
 
6.8%
시 406
 
6.7%
역 404
 
6.7%
광 403
 
6.7%
로 363
 
6.0%
길 181
 
3.0%
Other values (148) 2131
35.4%
Common
ValueCountFrequency (%)
2032
42.8%
1 445
 
9.4%
) 337
 
7.1%
( 337
 
7.1%
2 265
 
5.6%
0 249
 
5.2%
3 210
 
4.4%
5 161
 
3.4%
4 161
 
3.4%
6 156
 
3.3%
Other values (6) 394
 
8.3%
Latin
ValueCountFrequency (%)
B 4
66.7%
Ⅱ 1
 
16.7%
e 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6019
55.9%
ASCII 4752
44.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2032
42.8%
1 445
 
9.4%
) 337
 
7.1%
( 337
 
7.1%
2 265
 
5.6%
0 249
 
5.2%
3 210
 
4.4%
5 161
 
3.4%
4 161
 
3.4%
6 156
 
3.3%
Other values (8) 399
 
8.4%
Hangul
ValueCountFrequency (%)
대 463
 
7.7%
서 440
 
7.3%
동 410
 
6.8%
전 409
 
6.8%
구 409
 
6.8%
시 406
 
6.7%
역 404
 
6.7%
광 403
 
6.7%
로 363
 
6.0%
길 181
 
3.0%
Other values (148) 2131
35.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

행정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0170574 × 109
Minimum3.017051 × 109
Maximum3.017066 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T22:16:00.706050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.017051 × 109
5-th percentile3.017052 × 109
Q13.017054 × 109
median3.0170582 × 109
Q33.017059 × 109
95-th percentile3.017065 × 109
Maximum3.017066 × 109
Range15000
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation3805.3089
Coefficient of variation (CV)1.261265 × 10-6
Kurtosis-0.32871454
Mean3.0170574 × 109
Median Absolute Deviation (MAD)2150
Skewness0.36894616
Sum1.2188912 × 1012
Variance14480376
MonotonicityNot monotonic
2023-12-12T22:16:00.830435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3017059000 33
 
8.2%
3017054000 29
 
7.2%
3017052000 27
 
6.7%
3017053500 26
 
6.4%
3017058700 26
 
6.4%
3017058600 26
 
6.4%
3017055500 22
 
5.4%
3017059700 20
 
5.0%
3017060000 19
 
4.7%
3017056000 18
 
4.5%
Other values (14) 158
39.1%
ValueCountFrequency (%)
3017051000 16
4.0%
3017052000 27
6.7%
3017053000 17
4.2%
3017053500 26
6.4%
3017054000 29
7.2%
3017055000 11
 
2.7%
3017055500 22
5.4%
3017056000 18
4.5%
3017057000 9
 
2.2%
3017057500 16
4.0%
ValueCountFrequency (%)
3017066000 12
 
3.0%
3017065000 17
4.2%
3017064000 15
3.7%
3017063000 5
 
1.2%
3017060000 19
4.7%
3017059700 20
5.0%
3017059600 8
 
2.0%
3017059300 1
 
0.2%
3017059000 33
8.2%
3017058800 10
 
2.5%

행정동명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
변동
29 
도마1동
 
27
정림동
 
26
가수원동
 
26
월평2동
 
26
Other values (19)
270 

Length

Max length4
Median length4
Mean length3.4158416
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row둔산2동
2nd row둔산1동
3rd row변동
4th row갈마2동
5th row둔산2동

Common Values

ValueCountFrequency (%)
변동 29
 
7.2%
도마1동 27
 
6.7%
정림동 26
 
6.4%
가수원동 26
 
6.4%
월평2동 26
 
6.4%
월평1동 26
 
6.4%
탄방동 22
 
5.4%
관저2동 20
 
5.0%
기성동 19
 
4.7%
괴정동 18
 
4.5%
Other values (14) 165
40.8%

Length

2023-12-12T22:16:00.996290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
변동 29
 
7.2%
도마1동 27
 
6.7%
정림동 26
 
6.4%
가수원동 26
 
6.4%
월평2동 26
 
6.4%
월평1동 26
 
6.4%
탄방동 22
 
5.4%
관저2동 20
 
5.0%
기성동 19
 
4.7%
괴정동 18
 
4.5%
Other values (14) 165
40.8%

법정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.017011 × 109
Minimum3.0170101 × 109
Maximum3.0170128 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T22:16:01.140883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0170101 × 109
5-th percentile3.0170102 × 109
Q13.0170104 × 109
median3.0170111 × 109
Q33.0170113 × 109
95-th percentile3.0170123 × 109
Maximum3.0170128 × 109
Range2700
Interquartile range (IQR)900

Descriptive statistics

Standard deviation645.4836
Coefficient of variation (CV)2.1394804 × 10-7
Kurtosis0.55588856
Mean3.017011 × 109
Median Absolute Deviation (MAD)500
Skewness0.71111183
Sum1.2188724 × 1012
Variance416649.08
MonotonicityNot monotonic
2023-12-12T22:16:01.293553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3017011300 62
15.3%
3017010300 44
10.9%
3017011400 33
 
8.2%
3017011200 32
 
7.9%
3017010200 29
 
7.2%
3017011600 28
 
6.9%
3017010400 25
 
6.2%
3017010600 22
 
5.4%
3017011100 21
 
5.2%
3017010800 18
 
4.5%
Other values (12) 90
22.3%
ValueCountFrequency (%)
3017010100 16
 
4.0%
3017010200 29
7.2%
3017010300 44
10.9%
3017010400 25
6.2%
3017010500 11
 
2.7%
3017010600 22
5.4%
3017010800 18
4.5%
3017010900 9
 
2.2%
3017011000 16
 
4.0%
3017011100 21
5.2%
ValueCountFrequency (%)
3017012800 17
4.2%
3017012700 1
 
0.2%
3017012300 4
 
1.0%
3017012200 2
 
0.5%
3017012000 3
 
0.7%
3017011900 2
 
0.5%
3017011700 8
 
2.0%
3017011600 28
6.9%
3017011500 1
 
0.2%
3017011400 33
8.2%

법정동명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
월평동
62 
도마동
44 
둔산동
32 
변동
29 
관저동
28 
Other values (17)
209 

Length

Max length4
Median length3
Mean length2.9480198
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row둔산동
2nd row둔산동
3rd row변동
4th row갈마동
5th row둔산동

Common Values

ValueCountFrequency (%)
월평동 62
15.3%
도마동 44
10.9%
둔산동 32
 
7.9%
변동 29
 
7.2%
관저동 28
 
6.9%
가수원동 26
 
6.4%
정림동 25
 
6.2%
탄방동 22
 
5.4%
갈마동 21
 
5.2%
괴정동 18
 
4.5%
Other values (12) 97
24.0%

Length

2023-12-12T22:16:01.456058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월평동 62
15.3%
도마동 44
10.9%
둔산동 32
 
7.9%
변동 29
 
7.2%
관저동 28
 
6.9%
가수원동 26
 
6.4%
정림동 25
 
6.2%
탄방동 22
 
5.4%
갈마동 21
 
5.2%
괴정동 18
 
4.5%
Other values (12) 97
24.0%

전화번호
Text

Distinct254
Distinct (%)63.2%
Missing2
Missing (%)0.5%
Memory size3.3 KiB
2023-12-12T22:16:01.666219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.007463
Min length7

Characters and Unicode

Total characters4827
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

Unique143 ?
Unique (%)35.6%

Sample

1st row042-288-4470
2nd row042-719-7575
3rd row042-537-2000
4th row042-533-8275
5th row042-710-6000
ValueCountFrequency (%)
042-581-6200 5
 
1.2%
042-526-7288 5
 
1.2%
042-477-1153 4
 
1.0%
042-489-5858 4
 
1.0%
042-486-8337 4
 
1.0%
042-523-6841 3
 
0.7%
042-489-2849 3
 
0.7%
042-525-0799 3
 
0.7%
042-587-6507 3
 
0.7%
042-542-8951 3
 
0.7%
Other values (244) 365
90.8%
2023-12-12T22:16:02.052150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 802
16.6%
2 683
14.1%
4 670
13.9%
0 669
13.9%
5 492
10.2%
8 373
7.7%
3 279
 
5.8%
9 232
 
4.8%
1 231
 
4.8%
7 225
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4025
83.4%
Dash Punctuation 802
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 683
17.0%
4 670
16.6%
0 669
16.6%
5 492
12.2%
8 373
9.3%
3 279
6.9%
9 232
 
5.8%
1 231
 
5.7%
7 225
 
5.6%
6 171
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 802
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4827
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 802
16.6%
2 683
14.1%
4 670
13.9%
0 669
13.9%
5 492
10.2%
8 373
7.7%
3 279
 
5.8%
9 232
 
4.8%
1 231
 
4.8%
7 225
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4827
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 802
16.6%
2 683
14.1%
4 670
13.9%
0 669
13.9%
5 492
10.2%
8 373
7.7%
3 279
 
5.8%
9 232
 
4.8%
1 231
 
4.8%
7 225
 
4.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2023-10-30 00:00:00
Maximum2023-10-30 00:00:00
2023-12-12T22:16:02.178379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:16:02.280078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:15:56.587897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:55.986262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:56.295196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:56.675578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:56.091983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:56.395378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:57.098651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:56.208226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:15:56.501786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:16:02.375939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시설구분명행정동코드행정동명법정동코드법정동명
순번1.0000.9140.0000.0000.0000.000
시설구분명0.9141.0000.3270.3560.2660.056
행정동코드0.0000.3271.0001.0000.9030.970
행정동명0.0000.3561.0001.0000.9680.989
법정동코드0.0000.2660.9030.9681.0000.999
법정동명0.0000.0560.9700.9890.9991.000
2023-12-12T22:16:02.506981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동명법정동명시설구분명
행정동명1.0000.8620.106
법정동명0.8621.0000.011
시설구분명0.1060.0111.000
2023-12-12T22:16:02.626813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번행정동코드법정동코드시설구분명행정동명법정동명
순번1.0000.0120.0160.6500.0000.000
행정동코드0.0121.0000.8910.1350.9810.842
법정동코드0.0160.8911.0000.1040.8150.983
시설구분명0.6500.1350.1041.0000.1060.011
행정동명0.0000.9810.8150.1061.0000.862
법정동명0.0000.8420.9830.0110.8621.000

Missing values

2023-12-12T22:15:57.244332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:15:57.401170image/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

순번시설구분명시설명지번주소도로명주소행정동코드행정동명법정동코드법정동명전화번호데이터기준일자
01안심센터대전광역시 서구 치매안심센터대전광역시 서구 둔산동 1300대전광역시 서구 둔산서로 100 (둔산동, 서구청) 건강체련관 3층3017064000둔산2동3017011200둔산동042-288-44702023-10-30
12요양병원둔산요양병원대전광역시 서구 둔산1동 1419대전광역시 서구 둔산중로 38 (둔산동)3017063000둔산1동3017011200둔산동042-719-75752023-10-30
23요양병원보아스요양병원대전광역시 서구 변동 12-9대전광역시 서구 도산로 224 (변동)3017054000변동3017010200변동042-537-20002023-10-30
34요양병원성심요양병원대전광역시 서구 갈마동 362-1대전광역시 서구 갈마로 45-0 (갈마동)3017058200갈마2동3017011100갈마동042-533-82752023-10-30
45요양병원둔산엔젤요양병원대전광역시 서구 둔산동 1368 건국타워 9~11층대전 서구 대덕대로 244 건국타워 9~11층(둔산동)3017064000둔산2동3017011200둔산동042-710-60002023-10-30
56요양병원온누리좋은요양병원대전광역시 서구 가장동 32-23대전광역시 서구 동서대로 1147 2층,3층,6층3017057000가장동3017010900가장동042-719-11192023-10-30
67요양병원의료법인 선사인혜요양병원대전광역시 서구 월평동 251대전광역시 서구 대덕대로317번길 26 (월평동)3017058700월평2동3017011300월평동042-472-01292023-10-30
78요양병원의료법인 지덕사의료재단 양녕요양병원대전광역시 서구 갈마동 393-1대전광역시 서구 신갈마로 126-0 (갈마동)3017058100갈마1동3017011100갈마동042-528-00012023-10-30
89요양병원의료법인 참사랑의료재단 대전참사랑요양병원대전광역시 서구 둔산동 1141대전광역시 서구 계룡로491번길 8 갤러리빌4차 (3층)3017064000둔산2동3017011200둔산동042-478-99162023-10-30
910요양병원의료법인 정다운의료재단 나진요양병원대전광역시 서구 괴정동 367-28대전광역시 서구 갈마로 122 (괴정동)3017056000괴정동3017010800괴정동042-525-38002023-10-30
순번시설구분명시설명지번주소도로명주소행정동코드행정동명법정동코드법정동명전화번호데이터기준일자
394395행정복지서구 변동행정복지센터대전광역시 서구 변동 1-23대전광역시 서구 중반5길 1333017054000변동3017010200변동042-288-51202023-10-30
395396행정복지서구 복수동행정복지센터대전광역시 서구 복수동 275-23대전광역시 서구 복수서로 263017051000복수동3017010100복수동042-288-50002023-10-30
396397행정복지서구 용문동행정복지센터대전광역시 서구 용문동 256-29대전광역시 서구 계룡로 662번길 63017055000용문동3017010500용문동042-288-51502023-10-30
397398행정복지서구 월평1동행정복지센터대전광역시 서구 월평동 1181-2대전광역시 서구 월평서로 133017058600월평1동3017011300월평동042-288-54502023-10-30
398399행정복지서구 월평2동행정복지센터대전광역시 서구 월평동 218-3대전광역시 서구 갈마역로 1453017058700월평2동3017011300월평동042-288-54802023-10-30
399400행정복지서구 월평3동행정복지센터대전광역시 서구 월평동 310대전광역시 서구 청사로 27-93017058800월평3동3017011300월평동042-288-55102023-10-30
400401행정복지서구 정림동행정복지센터대전광역시 서구 정림동 636대전광역시 서구 정림동로 103017053500정림동3017010400정림동042-288-50902023-10-30
401402행정복지서구 탄방동행정복지센터대전광역시 서구 탄방동 1041-1대전광역시 서구 탄방로7번길973017055500탄방동3017010600탄방동042-288-51802023-10-30
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