Overview

Dataset statistics

Number of variables5
Number of observations107
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory44.2 B

Variable types

Numeric3
Text2

Dataset

Description대구광역시 서구 무더위쉼터 현황입니다. 쉼터 명, 도로명 주소, 연면적, 수용인원 등의 데이터를 포함하고 있습니다.
Author대구광역시 서구
URLhttps://www.data.go.kr/data/15093592/fileData.do

Alerts

연면적(제곱미터) is highly overall correlated with 수용인원(명)High correlation
수용인원(명) is highly overall correlated with 연면적(제곱미터)High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:50:42.943958
Analysis finished2024-03-14 16:50:45.765260
Duration2.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54
Minimum1
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T01:50:45.981808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.3
Q127.5
median54
Q380.5
95-th percentile101.7
Maximum107
Range106
Interquartile range (IQR)53

Descriptive statistics

Standard deviation31.032241
Coefficient of variation (CV)0.57467114
Kurtosis-1.2
Mean54
Median Absolute Deviation (MAD)27
Skewness0
Sum5778
Variance963
MonotonicityStrictly increasing
2024-03-15T01:50:46.343414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
69 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
73 1
 
0.9%
Other values (97) 97
90.7%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%
98 1
0.9%

쉼터명
Text

Distinct105
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size984.0 B
2024-03-15T01:50:47.793659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.8317757
Min length4

Characters and Unicode

Total characters945
Distinct characters139
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)97.2%

Sample

1st row내당1동 행정복지센터
2nd row서구종합사회복지관
3rd row삼화경로당
4th row내당2,3동 행정복지센터
5th row내당2동 노인회
ValueCountFrequency (%)
행정복지센터 17
 
10.9%
mg새마을금고 13
 
8.3%
경로당 4
 
2.6%
dgb대구은행 4
 
2.6%
장수경로당 3
 
1.9%
비산6동 3
 
1.9%
비산5동 3
 
1.9%
원대동 2
 
1.3%
평리2동 2
 
1.3%
제1경로당 2
 
1.3%
Other values (100) 103
66.0%
2024-03-15T01:50:49.560678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 51
 
5.4%
49
 
5.2%
경 41
 
4.3%
로 41
 
4.3%
지 37
 
3.9%
동 32
 
3.4%
평 27
 
2.9%
터 24
 
2.5%
복 23
 
2.4%
센 23
 
2.4%
Other values (129) 597
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 781
82.6%
Space Separator 49
 
5.2%
Decimal Number 46
 
4.9%
Uppercase Letter 41
 
4.3%
Close Punctuation 13
 
1.4%
Open Punctuation 13
 
1.4%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 51
 
6.5%
경 41
 
5.2%
로 41
 
5.2%
지 37
 
4.7%
동 32
 
4.1%
평 27
 
3.5%
터 24
 
3.1%
복 23
 
2.9%
센 23
 
2.9%
행 22
 
2.8%
Other values (111) 460
58.9%
Decimal Number
ValueCountFrequency (%)
1 17
37.0%
2 8
17.4%
5 5
 
10.9%
4 4
 
8.7%
6 4
 
8.7%
9 4
 
8.7%
3 3
 
6.5%
7 1
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
G 17
41.5%
M 13
31.7%
B 5
 
12.2%
D 4
 
9.8%
I 1
 
2.4%
K 1
 
2.4%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 781
82.6%
Common 123
 
13.0%
Latin 41
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 51
 
6.5%
경 41
 
5.2%
로 41
 
5.2%
지 37
 
4.7%
동 32
 
4.1%
평 27
 
3.5%
터 24
 
3.1%
복 23
 
2.9%
센 23
 
2.9%
행 22
 
2.8%
Other values (111) 460
58.9%
Common
ValueCountFrequency (%)
49
39.8%
1 17
 
13.8%
) 13
 
10.6%
( 13
 
10.6%
2 8
 
6.5%
5 5
 
4.1%
4 4
 
3.3%
6 4
 
3.3%
9 4
 
3.3%
3 3
 
2.4%
Other values (2) 3
 
2.4%
Latin
ValueCountFrequency (%)
G 17
41.5%
M 13
31.7%
B 5
 
12.2%
D 4
 
9.8%
I 1
 
2.4%
K 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 781
82.6%
ASCII 164
 
17.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 51
 
6.5%
경 41
 
5.2%
로 41
 
5.2%
지 37
 
4.7%
동 32
 
4.1%
평 27
 
3.5%
터 24
 
3.1%
복 23
 
2.9%
센 23
 
2.9%
행 22
 
2.8%
Other values (111) 460
58.9%
ASCII
ValueCountFrequency (%)
49
29.9%
1 17
 
10.4%
G 17
 
10.4%
) 13
 
7.9%
( 13
 
7.9%
M 13
 
7.9%
2 8
 
4.9%
5 5
 
3.0%
B 5
 
3.0%
4 4
 
2.4%
Other values (8) 20
12.2%

도로명주소
Text

Distinct103
Distinct (%)97.2%
Missing1
Missing (%)0.9%
Memory size984.0 B
2024-03-15T01:50:50.994312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length19.207547
Min length14

Characters and Unicode

Total characters2036
Distinct characters56
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)94.3%

Sample

1st row대구광역시 서구 서대구로4길 35
2nd row대구광역시 서구 달구벌대로365길 3
3rd row대구광역시 서구 달구벌대로373길 7-5
4th row대구광역시 서구 큰장로15길 11-1
5th row대구광역시 서구 큰장로15길 14-12
ValueCountFrequency (%)
대구광역시 106
24.9%
서구 106
24.9%
달서로 8
 
1.9%
국채보상로 7
 
1.6%
문화로 6
 
1.4%
서대구로 5
 
1.2%
17 4
 
0.9%
국채보상로50길 3
 
0.7%
서대구로3길 3
 
0.7%
10 3
 
0.7%
Other values (156) 175
41.1%
2024-03-15T01:50:53.177832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
360
17.7%
구 233
 
11.4%
서 147
 
7.2%
대 129
 
6.3%
광 106
 
5.2%
역 106
 
5.2%
시 106
 
5.2%
로 103
 
5.1%
1 80
 
3.9%
3 69
 
3.4%
Other values (46) 597
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1214
59.6%
Decimal Number 419
 
20.6%
Space Separator 360
 
17.7%
Dash Punctuation 41
 
2.0%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 233
19.2%
서 147
12.1%
대 129
10.6%
광 106
8.7%
역 106
8.7%
시 106
8.7%
로 103
8.5%
길 67
 
5.5%
달 30
 
2.5%
채 20
 
1.6%
Other values (32) 167
13.8%
Decimal Number
ValueCountFrequency (%)
1 80
19.1%
3 69
16.5%
6 54
12.9%
2 45
10.7%
4 43
10.3%
7 33
7.9%
5 33
7.9%
8 23
 
5.5%
0 22
 
5.3%
9 17
 
4.1%
Space Separator
ValueCountFrequency (%)
360
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1214
59.6%
Common 822
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 233
19.2%
서 147
12.1%
대 129
10.6%
광 106
8.7%
역 106
8.7%
시 106
8.7%
로 103
8.5%
길 67
 
5.5%
달 30
 
2.5%
채 20
 
1.6%
Other values (32) 167
13.8%
Common
ValueCountFrequency (%)
360
43.8%
1 80
 
9.7%
3 69
 
8.4%
6 54
 
6.6%
2 45
 
5.5%
4 43
 
5.2%
- 41
 
5.0%
7 33
 
4.0%
5 33
 
4.0%
8 23
 
2.8%
Other values (4) 41
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1214
59.6%
ASCII 822
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
360
43.8%
1 80
 
9.7%
3 69
 
8.4%
6 54
 
6.6%
2 45
 
5.5%
4 43
 
5.2%
- 41
 
5.0%
7 33
 
4.0%
5 33
 
4.0%
8 23
 
2.8%
Other values (4) 41
 
5.0%
Hangul
ValueCountFrequency (%)
구 233
19.2%
서 147
12.1%
대 129
10.6%
광 106
8.7%
역 106
8.7%
시 106
8.7%
로 103
8.5%
길 67
 
5.5%
달 30
 
2.5%
채 20
 
1.6%
Other values (32) 167
13.8%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct93
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean836.80374
Minimum19
Maximum56338
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T01:50:53.658875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile43.3
Q1109
median198
Q3296.5
95-th percentile920.4
Maximum56338
Range56319
Interquartile range (IQR)187.5

Descriptive statistics

Standard deviation5441.946
Coefficient of variation (CV)6.5032525
Kurtosis104.92836
Mean836.80374
Median Absolute Deviation (MAD)90
Skewness10.20087
Sum89538
Variance29614776
MonotonicityNot monotonic
2024-03-15T01:50:54.140601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 3
 
2.8%
217 2
 
1.9%
213 2
 
1.9%
108 2
 
1.9%
181 2
 
1.9%
191 2
 
1.9%
129 2
 
1.9%
263 2
 
1.9%
71 2
 
1.9%
250 2
 
1.9%
Other values (83) 86
80.4%
ValueCountFrequency (%)
19 1
0.9%
25 1
0.9%
26 1
0.9%
30 1
0.9%
40 1
0.9%
43 1
0.9%
44 1
0.9%
52 1
0.9%
60 1
0.9%
63 1
0.9%
ValueCountFrequency (%)
56338 1
0.9%
4888 1
0.9%
2025 1
0.9%
1383 1
0.9%
1273 1
0.9%
999 1
0.9%
737 1
0.9%
669 1
0.9%
661 1
0.9%
651 1
0.9%

수용인원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct67
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.878505
Minimum4
Maximum1481
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T01:50:54.799034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile9.9
Q131
median57
Q385
95-th percentile200.5
Maximum1481
Range1477
Interquartile range (IQR)54

Descriptive statistics

Standard deviation151.38248
Coefficient of variation (CV)1.7424618
Kurtosis69.071176
Mean86.878505
Median Absolute Deviation (MAD)27
Skewness7.6609484
Sum9296
Variance22916.655
MonotonicityNot monotonic
2024-03-15T01:50:55.501922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 4
 
3.7%
80 4
 
3.7%
64 4
 
3.7%
15 3
 
2.8%
54 3
 
2.8%
57 3
 
2.8%
25 3
 
2.8%
21 3
 
2.8%
30 3
 
2.8%
55 3
 
2.8%
Other values (57) 74
69.2%
ValueCountFrequency (%)
4 2
1.9%
5 1
 
0.9%
7 2
1.9%
9 1
 
0.9%
12 1
 
0.9%
13 2
1.9%
15 3
2.8%
18 1
 
0.9%
21 3
2.8%
24 1
 
0.9%
ValueCountFrequency (%)
1481 1
0.9%
419 1
0.9%
307 1
0.9%
302 1
0.9%
223 1
0.9%
202 1
0.9%
197 1
0.9%
186 1
0.9%
169 1
0.9%
165 1
0.9%

Interactions

2024-03-15T01:50:44.647986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:50:43.224021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:50:43.992318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:50:44.800058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:50:43.488177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:50:44.235689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:50:45.000234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:50:43.732798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:50:44.486274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T01:50:55.933944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연면적(제곱미터)수용인원(명)
연번1.0000.0000.000
연면적(제곱미터)0.0001.0000.000
수용인원(명)0.0000.0001.000
2024-03-15T01:50:56.169740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연면적(제곱미터)수용인원(명)
연번1.0000.0170.003
연면적(제곱미터)0.0171.0000.952
수용인원(명)0.0030.9521.000

Missing values

2024-03-15T01:50:45.337259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:50:45.582912image/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

연번쉼터명도로명주소연면적(제곱미터)수용인원(명)
01내당1동 행정복지센터대구광역시 서구 서대구로4길 3521765
12서구종합사회복지관대구광역시 서구 달구벌대로365길 3440133
23삼화경로당대구광역시 서구 달구벌대로373길 7-513641
34내당2,3동 행정복지센터대구광역시 서구 큰장로15길 11-121765
45내당2동 노인회대구광역시 서구 큰장로15길 14-12634
56장수경로당대구광역시 서구 큰장로9길 9-311233
67천일경로당대구광역시 서구 달구벌대로373길 2-241734
78내당경로당대구광역시 서구 평리로 408-1318455
89DGB대구은행 내당동지점대구광역시 서구 달서로 1433131
910DGB대구은행 서문시장지점대구광역시 서구 큰장로 97-221264
연번쉼터명도로명주소연면적(제곱미터)수용인원(명)
9798영어도서관대구광역시 서구 평리로35길 90-6651197
9899원대동 행정복지센터대구광역시 서구 고성로 334413
99100MG새마을금고 원대(본점)대구광역시 서구 달서로 266-112939
100101MG새마을금고 원대(제1지점)대구광역시 서구 달서천로83길 12-1 (원대동1가)26379
101102서구제일종합사회복지관대구광역시 서구 옥산로6길 9309
102103감삼못공원대구광역시 서구 내당동 463-710015
103104평리공원대구광역시 서구 국채보상로49길 1210015
104105서대구완충녹지대구광역시 서구 중리동 1136-11656338150
105106이현공원대구광역시 서구 이현동 산 28-245060
106107원대동 제일공원대구광역시 서구 원대로13길 372025307