Overview

Dataset statistics

Number of variables5
Number of observations229
Missing cells59
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory41.6 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description대구광역시 동구 관내 경로당, 노인정 등 노인복지시설 현황입니다. 이 데이터는 경로당명, 위치, 연락처 등의 항목을 포함합니다.
Author대구광역시 동구
URLhttps://www.data.go.kr/data/3072347/fileData.do

Alerts

연번 is highly overall correlated with 해당동High correlation
해당동 is highly overall correlated with 연번High correlation
연락처 has 59 (25.8%) missing valuesMissing
연번 has unique valuesUnique
경로당명 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:17:35.131272
Analysis finished2024-03-16 04:17:36.418866
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct229
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115
Minimum1
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-03-16T13:17:36.565797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.4
Q158
median115
Q3172
95-th percentile217.6
Maximum229
Range228
Interquartile range (IQR)114

Descriptive statistics

Standard deviation66.250786
Coefficient of variation (CV)0.57609379
Kurtosis-1.2
Mean115
Median Absolute Deviation (MAD)57
Skewness0
Sum26335
Variance4389.1667
MonotonicityNot monotonic
2024-03-16T13:17:36.825040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
146 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
Other values (219) 219
95.6%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%

경로당명
Text

UNIQUE 

Distinct229
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-16T13:17:37.225654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length8.8777293
Min length5

Characters and Unicode

Total characters2033
Distinct characters235
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

Unique229 ?
Unique (%)100.0%

Sample

1st row신암1경로당
2nd row제일경로당
3rd row새터경로당
4th row안평경로당
5th row신암1동뜨란채APT경로당
ValueCountFrequency (%)
경로당 4
 
1.7%
신암1경로당 1
 
0.4%
영조아름다운나날3단지경로당 1
 
0.4%
백자맨션경로당 1
 
0.4%
용계1경로당 1
 
0.4%
용계제2경로당 1
 
0.4%
강변동서마을아파트경로당 1
 
0.4%
용계타운아파트경로당 1
 
0.4%
율암경로당 1
 
0.4%
용호경로당 1
 
0.4%
Other values (221) 221
94.4%
2024-03-16T13:17:38.071878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 234
 
11.5%
경 231
 
11.4%
당 229
 
11.3%
아 66
 
3.2%
신 48
 
2.4%
트 47
 
2.3%
동 46
 
2.3%
파 46
 
2.3%
2 30
 
1.5%
지 29
 
1.4%
Other values (225) 1027
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1882
92.6%
Decimal Number 89
 
4.4%
Uppercase Letter 53
 
2.6%
Space Separator 5
 
0.2%
Lowercase Letter 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 234
 
12.4%
경 231
 
12.3%
당 229
 
12.2%
아 66
 
3.5%
신 48
 
2.6%
트 47
 
2.5%
동 46
 
2.4%
파 46
 
2.4%
지 29
 
1.5%
대 23
 
1.2%
Other values (202) 883
46.9%
Decimal Number
ValueCountFrequency (%)
2 30
33.7%
1 29
32.6%
3 14
15.7%
4 5
 
5.6%
5 4
 
4.5%
6 3
 
3.4%
7 1
 
1.1%
8 1
 
1.1%
9 1
 
1.1%
0 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
A 12
22.6%
P 12
22.6%
T 12
22.6%
L 7
13.2%
H 7
13.2%
D 1
 
1.9%
S 1
 
1.9%
M 1
 
1.9%
Space Separator
ValueCountFrequency (%)
5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1882
92.6%
Common 97
 
4.8%
Latin 54
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 234
 
12.4%
경 231
 
12.3%
당 229
 
12.2%
아 66
 
3.5%
신 48
 
2.6%
트 47
 
2.5%
동 46
 
2.4%
파 46
 
2.4%
지 29
 
1.5%
대 23
 
1.2%
Other values (202) 883
46.9%
Common
ValueCountFrequency (%)
2 30
30.9%
1 29
29.9%
3 14
14.4%
5
 
5.2%
4 5
 
5.2%
5 4
 
4.1%
6 3
 
3.1%
( 1
 
1.0%
, 1
 
1.0%
) 1
 
1.0%
Other values (4) 4
 
4.1%
Latin
ValueCountFrequency (%)
A 12
22.2%
P 12
22.2%
T 12
22.2%
L 7
13.0%
H 7
13.0%
D 1
 
1.9%
e 1
 
1.9%
S 1
 
1.9%
M 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1882
92.6%
ASCII 151
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 234
 
12.4%
경 231
 
12.3%
당 229
 
12.2%
아 66
 
3.5%
신 48
 
2.6%
트 47
 
2.5%
동 46
 
2.4%
파 46
 
2.4%
지 29
 
1.5%
대 23
 
1.2%
Other values (202) 883
46.9%
ASCII
ValueCountFrequency (%)
2 30
19.9%
1 29
19.2%
3 14
9.3%
A 12
 
7.9%
P 12
 
7.9%
T 12
 
7.9%
L 7
 
4.6%
H 7
 
4.6%
5
 
3.3%
4 5
 
3.3%
Other values (13) 18
11.9%

소재지
Text

Distinct228
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-16T13:17:38.558122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length117
Median length42
Mean length24.917031
Min length19

Characters and Unicode

Total characters5706
Distinct characters172
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

Unique227 ?
Unique (%)99.1%

Sample

1st row대구광역시 동구 신암북로7길 37 (신암동)
2nd row대구광역시 동구 아양로11길 36-5 (신암동)
3rd row대구광역시 동구 경대로 72 (신암동)
4th row대구광역시 동구 평화로 20-20 (신암동)
5th row대구광역시 동구 아양로7길 12 (신암동)
ValueCountFrequency (%)
대구광역시 229
 
19.8%
동구 229
 
19.8%
신암동 22
 
1.9%
신천동 22
 
1.9%
율하동 17
 
1.5%
방촌동 15
 
1.3%
신서동 11
 
1.0%
각산동 10
 
0.9%
효목동 9
 
0.8%
불로동 8
 
0.7%
Other values (382) 585
50.6%
2024-03-16T13:17:39.899996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1022
17.9%
동 519
 
9.1%
구 463
 
8.1%
대 243
 
4.3%
시 233
 
4.1%
역 231
 
4.0%
로 231
 
4.0%
광 230
 
4.0%
) 227
 
4.0%
( 227
 
4.0%
Other values (162) 2080
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3330
58.4%
Space Separator 1022
 
17.9%
Decimal Number 827
 
14.5%
Close Punctuation 227
 
4.0%
Open Punctuation 227
 
4.0%
Dash Punctuation 36
 
0.6%
Other Punctuation 29
 
0.5%
Uppercase Letter 7
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 519
15.6%
구 463
13.9%
대 243
 
7.3%
시 233
 
7.0%
역 231
 
6.9%
로 231
 
6.9%
광 230
 
6.9%
길 138
 
4.1%
신 93
 
2.8%
천 37
 
1.1%
Other values (143) 912
27.4%
Decimal Number
ValueCountFrequency (%)
1 172
20.8%
2 127
15.4%
3 102
12.3%
0 82
9.9%
5 79
9.6%
4 65
 
7.9%
6 63
 
7.6%
7 53
 
6.4%
8 45
 
5.4%
9 39
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
L 3
42.9%
H 3
42.9%
B 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1022
100.0%
Close Punctuation
ValueCountFrequency (%)
) 227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3330
58.4%
Common 2368
41.5%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 519
15.6%
구 463
13.9%
대 243
 
7.3%
시 233
 
7.0%
역 231
 
6.9%
로 231
 
6.9%
광 230
 
6.9%
길 138
 
4.1%
신 93
 
2.8%
천 37
 
1.1%
Other values (143) 912
27.4%
Common
ValueCountFrequency (%)
1022
43.2%
) 227
 
9.6%
( 227
 
9.6%
1 172
 
7.3%
2 127
 
5.4%
3 102
 
4.3%
0 82
 
3.5%
5 79
 
3.3%
4 65
 
2.7%
6 63
 
2.7%
Other values (5) 202
 
8.5%
Latin
ValueCountFrequency (%)
L 3
37.5%
H 3
37.5%
B 1
 
12.5%
e 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3330
58.4%
ASCII 2376
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1022
43.0%
) 227
 
9.6%
( 227
 
9.6%
1 172
 
7.2%
2 127
 
5.3%
3 102
 
4.3%
0 82
 
3.5%
5 79
 
3.3%
4 65
 
2.7%
6 63
 
2.7%
Other values (9) 210
 
8.8%
Hangul
ValueCountFrequency (%)
동 519
15.6%
구 463
13.9%
대 243
 
7.3%
시 233
 
7.0%
역 231
 
6.9%
로 231
 
6.9%
광 230
 
6.9%
길 138
 
4.1%
신 93
 
2.8%
천 37
 
1.1%
Other values (143) 912
27.4%

연락처
Text

MISSING 

Distinct167
Distinct (%)98.2%
Missing59
Missing (%)25.8%
Memory size1.9 KiB
2024-03-16T13:17:40.939037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.005882
Min length12

Characters and Unicode

Total characters2041
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

Unique164 ?
Unique (%)96.5%

Sample

1st row053-943-2586
2nd row053-958-0323
3rd row053-959-9990
4th row053-959-1119
5th row053-958-8903
ValueCountFrequency (%)
053-981-8890 2
 
1.2%
053-982-0916 2
 
1.2%
053-981-1063 2
 
1.2%
053-983-4363 1
 
0.6%
053-247-7735 1
 
0.6%
053-962-0600 1
 
0.6%
053-216-5553 1
 
0.6%
053-961-2276 1
 
0.6%
053-295-4315 1
 
0.6%
053-964-0900 1
 
0.6%
Other values (157) 157
92.4%
2024-03-16T13:17:41.775254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 340
16.7%
5 279
13.7%
3 275
13.5%
0 255
12.5%
9 212
10.4%
8 152
7.4%
2 120
 
5.9%
4 117
 
5.7%
6 113
 
5.5%
1 100
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1701
83.3%
Dash Punctuation 340
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 279
16.4%
3 275
16.2%
0 255
15.0%
9 212
12.5%
8 152
8.9%
2 120
7.1%
4 117
6.9%
6 113
6.6%
1 100
 
5.9%
7 78
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 340
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2041
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 340
16.7%
5 279
13.7%
3 275
13.5%
0 255
12.5%
9 212
10.4%
8 152
7.4%
2 120
 
5.9%
4 117
 
5.7%
6 113
 
5.5%
1 100
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2041
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 340
16.7%
5 279
13.7%
3 275
13.5%
0 255
12.5%
9 212
10.4%
8 152
7.4%
2 120
 
5.9%
4 117
 
5.7%
6 113
 
5.5%
1 100
 
4.9%

해당동
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
공산동
32 
안심1동
25 
안심4동
18 
방촌동
14 
혁신동
13 
Other values (17)
127 

Length

Max length6
Median length4
Mean length3.7860262
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신암1동
2nd row신암1동
3rd row신암1동
4th row신암1동
5th row신암1동

Common Values

ValueCountFrequency (%)
공산동 32
14.0%
안심1동 25
 
10.9%
안심4동 18
 
7.9%
방촌동 14
 
6.1%
혁신동 13
 
5.7%
안심3동 11
 
4.8%
해안동 11
 
4.8%
불로·봉무동 11
 
4.8%
신천1·2동 11
 
4.8%
지저동 10
 
4.4%
Other values (12) 73
31.9%

Length

2024-03-16T13:17:42.032702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공산동 32
14.0%
안심1동 25
 
10.9%
안심4동 18
 
7.9%
방촌동 14
 
6.1%
혁신동 13
 
5.7%
안심3동 11
 
4.8%
해안동 11
 
4.8%
불로·봉무동 11
 
4.8%
신천1·2동 11
 
4.8%
지저동 10
 
4.4%
Other values (12) 73
31.9%

Interactions

2024-03-16T13:17:35.605860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:17:42.169205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번해당동
연번1.0000.975
해당동0.9751.000
2024-03-16T13:17:42.301537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번해당동
연번1.0000.836
해당동0.8361.000

Missing values

2024-03-16T13:17:35.802692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:17:36.361089image/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

연번경로당명소재지연락처해당동
01신암1경로당대구광역시 동구 신암북로7길 37 (신암동)053-943-2586신암1동
12제일경로당대구광역시 동구 아양로11길 36-5 (신암동)053-958-0323신암1동
23새터경로당대구광역시 동구 경대로 72 (신암동)053-959-9990신암1동
34안평경로당대구광역시 동구 평화로 20-20 (신암동)053-959-1119신암1동
45신암1동뜨란채APT경로당대구광역시 동구 아양로7길 12 (신암동)053-958-8903신암1동
56평화경로당대구광역시 동구 아양로 65-67 (신암동)053-939-5799신암1동
67동대구에일린의뜰경로당대구광역시 동구 아양로9길35(신암동)<NA>신암1동
78강남아파트경로당대구광역시 동구 신성로 60 (신암동)053-959-8874신암2동
89신암2동경로당대구광역시 동구 신성로 113-3 (신암동)053-957-7057신암2동
910신암그린타운경로당대구광역시 동구 신성로 30 (신암동)053-951-6324신암2동
연번경로당명소재지연락처해당동
219221화성명산아파트경로당대구광역시 동구 파계로22길 7 (지묘동)<NA>공산동
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