Overview

Dataset statistics

Number of variables6
Number of observations193
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory50.7 B

Variable types

Numeric2
Text2
Categorical2

Dataset

Description경기도 하남시 안심식당 지정 현황에 대한 데이터로 업소명, 안심식당 지정일, 소재지주소, 우편번호 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15120375/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 안심식당 지정일High correlation
안심식당 지정일 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:39:52.025560
Analysis finished2023-12-12 00:39:53.109487
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97
Minimum1
Maximum193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T09:39:53.194868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.6
Q149
median97
Q3145
95-th percentile183.4
Maximum193
Range192
Interquartile range (IQR)96

Descriptive statistics

Standard deviation55.858452
Coefficient of variation (CV)0.57586033
Kurtosis-1.2
Mean97
Median Absolute Deviation (MAD)48
Skewness0
Sum18721
Variance3120.1667
MonotonicityStrictly increasing
2023-12-12T09:39:53.339765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
146 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
Other values (183) 183
94.8%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%

업소명
Text

Distinct191
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T09:39:53.641020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length15
Mean length7.9533679
Min length2

Characters and Unicode

Total characters1535
Distinct characters339
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

Unique189 ?
Unique (%)97.9%

Sample

1st row몽뜨 화덕피자
2nd row먹보한우 하남점
3rd row아.빠.찜
4th row한채당
5th row(주)올킹 자작나무갈비 하남 미사점
ValueCountFrequency (%)
하남점 9
 
2.9%
하남미사점 8
 
2.5%
미사점 7
 
2.2%
하남 5
 
1.6%
미사 4
 
1.3%
주)신화케이푸드 3
 
1.0%
감자탕 3
 
1.0%
미사리 3
 
1.0%
하남신장점 2
 
0.6%
본점 2
 
0.6%
Other values (254) 268
85.4%
2023-12-12T09:39:54.063890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
7.9%
점 66
 
4.3%
남 52
 
3.4%
하 51
 
3.3%
미 42
 
2.7%
사 42
 
2.7%
이 31
 
2.0%
스 25
 
1.6%
( 23
 
1.5%
) 23
 
1.5%
Other values (329) 1059
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1316
85.7%
Space Separator 121
 
7.9%
Open Punctuation 23
 
1.5%
Close Punctuation 23
 
1.5%
Lowercase Letter 23
 
1.5%
Decimal Number 10
 
0.7%
Uppercase Letter 10
 
0.7%
Other Punctuation 8
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 66
 
5.0%
남 52
 
4.0%
하 51
 
3.9%
미 42
 
3.2%
사 42
 
3.2%
이 31
 
2.4%
스 25
 
1.9%
리 22
 
1.7%
장 20
 
1.5%
비 18
 
1.4%
Other values (299) 947
72.0%
Lowercase Letter
ValueCountFrequency (%)
o 4
17.4%
c 3
13.0%
f 3
13.0%
e 3
13.0%
s 2
8.7%
a 2
8.7%
d 2
8.7%
b 1
 
4.3%
h 1
 
4.3%
r 1
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
C 3
30.0%
G 2
20.0%
F 1
 
10.0%
I 1
 
10.0%
D 1
 
10.0%
U 1
 
10.0%
K 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
3 2
20.0%
6 2
20.0%
4 1
 
10.0%
0 1
 
10.0%
2 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
& 4
50.0%
. 4
50.0%
Space Separator
ValueCountFrequency (%)
121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1316
85.7%
Common 186
 
12.1%
Latin 33
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 66
 
5.0%
남 52
 
4.0%
하 51
 
3.9%
미 42
 
3.2%
사 42
 
3.2%
이 31
 
2.4%
스 25
 
1.9%
리 22
 
1.7%
장 20
 
1.5%
비 18
 
1.4%
Other values (299) 947
72.0%
Latin
ValueCountFrequency (%)
o 4
12.1%
c 3
 
9.1%
f 3
 
9.1%
e 3
 
9.1%
C 3
 
9.1%
s 2
 
6.1%
a 2
 
6.1%
d 2
 
6.1%
G 2
 
6.1%
F 1
 
3.0%
Other values (8) 8
24.2%
Common
ValueCountFrequency (%)
121
65.1%
( 23
 
12.4%
) 23
 
12.4%
& 4
 
2.2%
. 4
 
2.2%
1 3
 
1.6%
3 2
 
1.1%
6 2
 
1.1%
- 1
 
0.5%
4 1
 
0.5%
Other values (2) 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1316
85.7%
ASCII 219
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
55.3%
( 23
 
10.5%
) 23
 
10.5%
o 4
 
1.8%
& 4
 
1.8%
. 4
 
1.8%
c 3
 
1.4%
f 3
 
1.4%
e 3
 
1.4%
1 3
 
1.4%
Other values (20) 28
 
12.8%
Hangul
ValueCountFrequency (%)
점 66
 
5.0%
남 52
 
4.0%
하 51
 
3.9%
미 42
 
3.2%
사 42
 
3.2%
이 31
 
2.4%
스 25
 
1.9%
리 22
 
1.7%
장 20
 
1.5%
비 18
 
1.4%
Other values (299) 947
72.0%

안심식당 지정일
Categorical

HIGH CORRELATION 

Distinct40
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2020-08-05
21 
2020-07-30
20 
2020-07-31
18 
2020-08-06
18 
2020-08-07
18 
Other values (35)
98 

Length

Max length10
Median length10
Mean length9.9378238
Min length4

Unique

Unique14 ?
Unique (%)7.3%

Sample

1st row2020-07-29
2nd row2020-07-29
3rd row2020-07-29
4th row2020-07-29
5th row2020-07-29

Common Values

ValueCountFrequency (%)
2020-08-05 21
10.9%
2020-07-30 20
10.4%
2020-07-31 18
 
9.3%
2020-08-06 18
 
9.3%
2020-08-07 18
 
9.3%
2020-08-03 16
 
8.3%
2020-08-04 16
 
8.3%
2020-07-29 9
 
4.7%
2021-06-04 5
 
2.6%
2021-06-01 5
 
2.6%
Other values (30) 47
24.4%

Length

2023-12-12T09:39:54.215992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-08-05 21
10.9%
2020-07-30 20
10.4%
2020-07-31 18
 
9.3%
2020-08-06 18
 
9.3%
2020-08-07 18
 
9.3%
2020-08-03 16
 
8.3%
2020-08-04 16
 
8.3%
2020-07-29 9
 
4.7%
2021-06-01 5
 
2.6%
2021-06-04 5
 
2.6%
Other values (30) 47
24.4%

소재지
Text

Distinct187
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T09:39:54.484732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length32.487047
Min length19

Characters and Unicode

Total characters6270
Distinct characters164
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

Unique186 ?
Unique (%)96.4%

Sample

1st row경기도 하남시 월호로 54, 1층 (덕풍동)
2nd row경기도 하남시 월호로 48-6, 1층 (덕풍동)
3rd row경기도 하남시 월호로 60, 1층 (덕풍동)
4th row경기도 하남시 미사동로 38, 1~2층 (미사동)
5th row경기도 하남시 미사동로 72 (미사동)
ValueCountFrequency (%)
경기도 193
 
15.1%
하남시 191
 
14.9%
1층 70
 
5.5%
신장동 36
 
2.8%
2층 35
 
2.7%
미사대로 30
 
2.3%
망월동 25
 
2.0%
하남대로 20
 
1.6%
덕풍동 17
 
1.3%
1,2층 16
 
1.3%
Other values (382) 645
50.5%
2023-12-12T09:39:54.945338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1088
 
17.4%
1 343
 
5.5%
하 258
 
4.1%
, 255
 
4.1%
남 248
 
4.0%
2 212
 
3.4%
시 198
 
3.2%
동 197
 
3.1%
도 195
 
3.1%
경 193
 
3.1%
Other values (154) 3083
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3301
52.6%
Decimal Number 1196
 
19.1%
Space Separator 1088
 
17.4%
Other Punctuation 255
 
4.1%
Close Punctuation 185
 
3.0%
Open Punctuation 185
 
3.0%
Dash Punctuation 29
 
0.5%
Uppercase Letter 21
 
0.3%
Math Symbol 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 258
 
7.8%
남 248
 
7.5%
시 198
 
6.0%
동 197
 
6.0%
도 195
 
5.9%
경 193
 
5.8%
기 193
 
5.8%
로 193
 
5.8%
층 172
 
5.2%
사 96
 
2.9%
Other values (126) 1358
41.1%
Uppercase Letter
ValueCountFrequency (%)
A 5
23.8%
R 4
19.0%
L 3
14.3%
I 2
 
9.5%
C 1
 
4.8%
B 1
 
4.8%
S 1
 
4.8%
M 1
 
4.8%
K 1
 
4.8%
E 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 343
28.7%
2 212
17.7%
0 151
12.6%
3 103
 
8.6%
4 95
 
7.9%
7 80
 
6.7%
5 79
 
6.6%
6 53
 
4.4%
8 45
 
3.8%
9 35
 
2.9%
Math Symbol
ValueCountFrequency (%)
~ 9
90.0%
+ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1088
100.0%
Other Punctuation
ValueCountFrequency (%)
, 255
100.0%
Close Punctuation
ValueCountFrequency (%)
) 185
100.0%
Open Punctuation
ValueCountFrequency (%)
( 185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3301
52.6%
Common 2948
47.0%
Latin 21
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 258
 
7.8%
남 248
 
7.5%
시 198
 
6.0%
동 197
 
6.0%
도 195
 
5.9%
경 193
 
5.8%
기 193
 
5.8%
로 193
 
5.8%
층 172
 
5.2%
사 96
 
2.9%
Other values (126) 1358
41.1%
Common
ValueCountFrequency (%)
1088
36.9%
1 343
 
11.6%
, 255
 
8.6%
2 212
 
7.2%
) 185
 
6.3%
( 185
 
6.3%
0 151
 
5.1%
3 103
 
3.5%
4 95
 
3.2%
7 80
 
2.7%
Other values (7) 251
 
8.5%
Latin
ValueCountFrequency (%)
A 5
23.8%
R 4
19.0%
L 3
14.3%
I 2
 
9.5%
C 1
 
4.8%
B 1
 
4.8%
S 1
 
4.8%
M 1
 
4.8%
K 1
 
4.8%
E 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3301
52.6%
ASCII 2969
47.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1088
36.6%
1 343
 
11.6%
, 255
 
8.6%
2 212
 
7.1%
) 185
 
6.2%
( 185
 
6.2%
0 151
 
5.1%
3 103
 
3.5%
4 95
 
3.2%
7 80
 
2.7%
Other values (18) 272
 
9.2%
Hangul
ValueCountFrequency (%)
하 258
 
7.8%
남 248
 
7.5%
시 198
 
6.0%
동 197
 
6.0%
도 195
 
5.9%
경 193
 
5.8%
기 193
 
5.8%
로 193
 
5.8%
층 172
 
5.2%
사 96
 
2.9%
Other values (126) 1358
41.1%

우편번호
Real number (ℝ)

Distinct61
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12955.135
Minimum12900
Maximum13028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T09:39:55.096806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12900
5-th percentile12908
Q112922
median12947
Q312991
95-th percentile13023
Maximum13028
Range128
Interquartile range (IQR)69

Descriptive statistics

Standard deviation39.987661
Coefficient of variation (CV)0.0030866264
Kurtosis-1.0783504
Mean12955.135
Median Absolute Deviation (MAD)30
Skewness0.52478625
Sum2500341
Variance1599.013
MonotonicityNot monotonic
2023-12-12T09:39:55.274074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12913 18
 
9.3%
12925 14
 
7.3%
13023 14
 
7.3%
12942 11
 
5.7%
13016 8
 
4.1%
12950 7
 
3.6%
12900 7
 
3.6%
12922 6
 
3.1%
12956 6
 
3.1%
12940 6
 
3.1%
Other values (51) 96
49.7%
ValueCountFrequency (%)
12900 7
 
3.6%
12902 1
 
0.5%
12908 3
 
1.6%
12909 1
 
0.5%
12911 4
 
2.1%
12912 3
 
1.6%
12913 18
9.3%
12914 1
 
0.5%
12917 1
 
0.5%
12918 1
 
0.5%
ValueCountFrequency (%)
13028 1
 
0.5%
13027 1
 
0.5%
13026 1
 
0.5%
13025 2
 
1.0%
13024 1
 
0.5%
13023 14
7.3%
13022 1
 
0.5%
13018 3
 
1.6%
13017 1
 
0.5%
13016 8
4.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-07-31
193 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-31
2nd row2023-07-31
3rd row2023-07-31
4th row2023-07-31
5th row2023-07-31

Common Values

ValueCountFrequency (%)
2023-07-31 193
100.0%

Length

2023-12-12T09:39:55.401913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:39:55.487832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-31 193
100.0%

Interactions

2023-12-12T09:39:52.641684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:39:52.399951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:39:52.754027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:39:52.519740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:39:55.548880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번안심식당 지정일우편번호
연번1.0000.9750.541
안심식당 지정일0.9751.0000.750
우편번호0.5410.7501.000
2023-12-12T09:39:55.632253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호안심식당 지정일
연번1.000-0.1760.763
우편번호-0.1761.0000.316
안심식당 지정일0.7630.3161.000

Missing values

2023-12-12T09:39:52.928929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:39:53.058629image/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

연번업소명안심식당 지정일소재지우편번호데이터기준일자
01몽뜨 화덕피자2020-07-29경기도 하남시 월호로 54, 1층 (덕풍동)129252023-07-31
12먹보한우 하남점2020-07-29경기도 하남시 월호로 48-6, 1층 (덕풍동)129252023-07-31
23아.빠.찜2020-07-29경기도 하남시 월호로 60, 1층 (덕풍동)129252023-07-31
34한채당2020-07-29경기도 하남시 미사동로 38, 1~2층 (미사동)129002023-07-31
45(주)올킹 자작나무갈비 하남 미사점2020-07-29경기도 하남시 미사동로 72 (미사동)129002023-07-31
56미사리 라이브대게2020-07-29경기도 하남시 미사동로 86, 1층 (미사동)129002023-07-31
67하남어시장2020-07-29경기도 하남시 미사동로40번길 29-6, 2,3층 (미사동)129002023-07-31
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