Overview

Dataset statistics

Number of variables6
Number of observations587
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.2 KiB
Average record size in memory49.2 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description경상남도 함양군의 지역상품권인 함양사랑상품권을 취급하는 가맹점 현황으로 연번, 소재지, 상호명, 주소(도로명주소), 업종, 데이터기준일자 형식으로 구성되어있음
Author경상남도 함양군
URLhttps://www.data.go.kr/data/15064776/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:58:26.963284
Analysis finished2023-12-12 19:58:27.864994
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct587
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean294
Minimum1
Maximum587
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2023-12-13T04:58:27.936589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile30.3
Q1147.5
median294
Q3440.5
95-th percentile557.7
Maximum587
Range586
Interquartile range (IQR)293

Descriptive statistics

Standard deviation169.59658
Coefficient of variation (CV)0.57685912
Kurtosis-1.2
Mean294
Median Absolute Deviation (MAD)147
Skewness0
Sum172578
Variance28763
MonotonicityStrictly increasing
2023-12-13T04:58:28.084347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
405 1
 
0.2%
389 1
 
0.2%
390 1
 
0.2%
391 1
 
0.2%
392 1
 
0.2%
393 1
 
0.2%
394 1
 
0.2%
395 1
 
0.2%
396 1
 
0.2%
Other values (577) 577
98.3%
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 (%)
587 1
0.2%
586 1
0.2%
585 1
0.2%
584 1
0.2%
583 1
0.2%
582 1
0.2%
581 1
0.2%
580 1
0.2%
579 1
0.2%
578 1
0.2%

소재지
Categorical

Distinct11
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
함양읍
393 
안의면
54 
마천면
 
38
서상면
 
28
서하면
 
19
Other values (6)
55 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
함양읍 393
67.0%
안의면 54
 
9.2%
마천면 38
 
6.5%
서상면 28
 
4.8%
서하면 19
 
3.2%
백전면 14
 
2.4%
수동면 10
 
1.7%
지곡면 9
 
1.5%
병곡면 8
 
1.4%
휴천면 8
 
1.4%

Length

2023-12-13T04:58:28.213471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
함양읍 393
67.0%
안의면 54
 
9.2%
마천면 38
 
6.5%
서상면 28
 
4.8%
서하면 19
 
3.2%
백전면 14
 
2.4%
수동면 10
 
1.7%
지곡면 9
 
1.5%
병곡면 8
 
1.4%
휴천면 8
 
1.4%
Distinct584
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-13T04:58:28.469701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length5.9693356
Min length2

Characters and Unicode

Total characters3504
Distinct characters502
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique581 ?
Unique (%)99.0%

Sample

1st row1000짱
2nd row1001안경콘텍트
3rd row1004화로구이
4th row1번지양봉원
5th row60계치킨 함양점
ValueCountFrequency (%)
함양점 14
 
2.1%
하나로마트 3
 
0.5%
지리산 3
 
0.5%
함양지역자활센터 2
 
0.3%
상회 2
 
0.3%
함양산청축산업협동조합 2
 
0.3%
카페 2
 
0.3%
주식회사 2
 
0.3%
영농조합법인 2
 
0.3%
함양농협백전지점 2
 
0.3%
Other values (620) 621
94.8%
2023-12-13T04:58:28.859199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
 
2.9%
88
 
2.5%
85
 
2.4%
84
 
2.4%
76
 
2.2%
68
 
1.9%
63
 
1.8%
55
 
1.6%
52
 
1.5%
52
 
1.5%
Other values (492) 2781
79.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3293
94.0%
Space Separator 68
 
1.9%
Uppercase Letter 35
 
1.0%
Open Punctuation 31
 
0.9%
Close Punctuation 31
 
0.9%
Decimal Number 24
 
0.7%
Lowercase Letter 12
 
0.3%
Other Punctuation 6
 
0.2%
Other Symbol 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
100
 
3.0%
88
 
2.7%
85
 
2.6%
84
 
2.6%
76
 
2.3%
63
 
1.9%
55
 
1.7%
52
 
1.6%
52
 
1.6%
51
 
1.5%
Other values (454) 2587
78.6%
Uppercase Letter
ValueCountFrequency (%)
C 6
17.1%
T 4
11.4%
U 3
8.6%
D 3
8.6%
S 3
8.6%
O 3
8.6%
A 2
 
5.7%
J 2
 
5.7%
G 2
 
5.7%
F 1
 
2.9%
Other values (6) 6
17.1%
Decimal Number
ValueCountFrequency (%)
0 8
33.3%
1 6
25.0%
4 3
 
12.5%
2 3
 
12.5%
5 2
 
8.3%
6 1
 
4.2%
7 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
a 3
25.0%
k 2
16.7%
l 2
16.7%
e 2
16.7%
g 1
 
8.3%
p 1
 
8.3%
t 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
. 2
33.3%
, 1
 
16.7%
Space Separator
ValueCountFrequency (%)
68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3296
94.1%
Common 161
 
4.6%
Latin 47
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
100
 
3.0%
88
 
2.7%
85
 
2.6%
84
 
2.5%
76
 
2.3%
63
 
1.9%
55
 
1.7%
52
 
1.6%
52
 
1.6%
51
 
1.5%
Other values (455) 2590
78.6%
Latin
ValueCountFrequency (%)
C 6
 
12.8%
T 4
 
8.5%
U 3
 
6.4%
D 3
 
6.4%
S 3
 
6.4%
O 3
 
6.4%
a 3
 
6.4%
A 2
 
4.3%
k 2
 
4.3%
l 2
 
4.3%
Other values (13) 16
34.0%
Common
ValueCountFrequency (%)
68
42.2%
( 31
19.3%
) 31
19.3%
0 8
 
5.0%
1 6
 
3.7%
4 3
 
1.9%
2 3
 
1.9%
& 3
 
1.9%
. 2
 
1.2%
5 2
 
1.2%
Other values (4) 4
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3293
94.0%
ASCII 208
 
5.9%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
100
 
3.0%
88
 
2.7%
85
 
2.6%
84
 
2.6%
76
 
2.3%
63
 
1.9%
55
 
1.7%
52
 
1.6%
52
 
1.6%
51
 
1.5%
Other values (454) 2587
78.6%
ASCII
ValueCountFrequency (%)
68
32.7%
( 31
14.9%
) 31
14.9%
0 8
 
3.8%
C 6
 
2.9%
1 6
 
2.9%
T 4
 
1.9%
U 3
 
1.4%
4 3
 
1.4%
D 3
 
1.4%
Other values (27) 45
21.6%
None
ValueCountFrequency (%)
3
100.0%

주소
Text

Distinct536
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-13T04:58:29.136747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length46
Mean length22.788756
Min length17

Characters and Unicode

Total characters13377
Distinct characters273
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

Unique497 ?
Unique (%)84.7%

Sample

1st row경상남도 함양군 함양읍 함양로 1148
2nd row경상남도 함양군 함양읍 고운로 65-1
3rd row경상남도 함양군 함양읍 필봉산길 63 1004화로구이
4th row경상남도 함양군 함양읍 한들로 23-4 갈비 1번지
5th row경상남도 함양군 함양읍 함양로 1119
ValueCountFrequency (%)
함양군 591
19.1%
경상남도 587
19.0%
함양읍 388
 
12.6%
함양로 82
 
2.7%
안의면 56
 
1.8%
고운로 47
 
1.5%
마천면 37
 
1.2%
용평중앙길 34
 
1.1%
서상면 27
 
0.9%
중앙시장길 26
 
0.8%
Other values (632) 1213
39.3%
2023-12-13T04:58:29.541401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2501
18.7%
1109
 
8.3%
1103
 
8.2%
654
 
4.9%
610
 
4.6%
593
 
4.4%
592
 
4.4%
589
 
4.4%
1 578
 
4.3%
390
 
2.9%
Other values (263) 4658
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8687
64.9%
Space Separator 2501
 
18.7%
Decimal Number 1935
 
14.5%
Dash Punctuation 199
 
1.5%
Close Punctuation 19
 
0.1%
Open Punctuation 19
 
0.1%
Other Punctuation 8
 
0.1%
Uppercase Letter 6
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1109
12.8%
1103
12.7%
654
 
7.5%
610
 
7.0%
593
 
6.8%
592
 
6.8%
589
 
6.8%
390
 
4.5%
305
 
3.5%
291
 
3.3%
Other values (239) 2451
28.2%
Decimal Number
ValueCountFrequency (%)
1 578
29.9%
2 296
15.3%
3 207
 
10.7%
5 151
 
7.8%
4 148
 
7.6%
0 141
 
7.3%
9 112
 
5.8%
7 111
 
5.7%
6 107
 
5.5%
8 84
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
S 1
16.7%
G 1
16.7%
D 1
16.7%
A 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
g 1
33.3%
p 1
33.3%
l 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 7
87.5%
, 1
 
12.5%
Space Separator
ValueCountFrequency (%)
2501
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 199
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8687
64.9%
Common 4681
35.0%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1109
12.8%
1103
12.7%
654
 
7.5%
610
 
7.0%
593
 
6.8%
592
 
6.8%
589
 
6.8%
390
 
4.5%
305
 
3.5%
291
 
3.3%
Other values (239) 2451
28.2%
Common
ValueCountFrequency (%)
2501
53.4%
1 578
 
12.3%
2 296
 
6.3%
3 207
 
4.4%
- 199
 
4.3%
5 151
 
3.2%
4 148
 
3.2%
0 141
 
3.0%
9 112
 
2.4%
7 111
 
2.4%
Other values (6) 237
 
5.1%
Latin
ValueCountFrequency (%)
B 2
22.2%
g 1
11.1%
p 1
11.1%
l 1
11.1%
S 1
11.1%
G 1
11.1%
D 1
11.1%
A 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8687
64.9%
ASCII 4690
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2501
53.3%
1 578
 
12.3%
2 296
 
6.3%
3 207
 
4.4%
- 199
 
4.2%
5 151
 
3.2%
4 148
 
3.2%
0 141
 
3.0%
9 112
 
2.4%
7 111
 
2.4%
Other values (14) 246
 
5.2%
Hangul
ValueCountFrequency (%)
1109
12.8%
1103
12.7%
654
 
7.5%
610
 
7.0%
593
 
6.8%
592
 
6.8%
589
 
6.8%
390
 
4.5%
305
 
3.5%
291
 
3.3%
Other values (239) 2451
28.2%

업종
Text

Distinct184
Distinct (%)31.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-13T04:58:29.794798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length4.6473595
Min length2

Characters and Unicode

Total characters2728
Distinct characters227
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

Unique135 ?
Unique (%)23.0%

Sample

1st row소매점
2nd row안경점
3rd row음식/한식/육류
4th row축산/양봉/숙성벌꿀/효소벌꿀/화분
5th row치킨
ValueCountFrequency (%)
식당(한식 126
 
18.5%
소매업 30
 
4.4%
소매점 28
 
4.1%
식육점 19
 
2.8%
치킨 15
 
2.2%
카페 15
 
2.2%
약국 14
 
2.1%
마트 13
 
1.9%
의류 13
 
1.9%
제조업 13
 
1.9%
Other values (212) 394
57.9%
2023-12-13T04:58:30.270712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
347
 
12.7%
) 164
 
6.0%
( 164
 
6.0%
152
 
5.6%
137
 
5.0%
93
 
3.4%
93
 
3.4%
90
 
3.3%
89
 
3.3%
87
 
3.2%
Other values (217) 1312
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2227
81.6%
Close Punctuation 164
 
6.0%
Open Punctuation 164
 
6.0%
Space Separator 93
 
3.4%
Other Punctuation 74
 
2.7%
Lowercase Letter 3
 
0.1%
Uppercase Letter 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
347
 
15.6%
152
 
6.8%
137
 
6.2%
93
 
4.2%
90
 
4.0%
89
 
4.0%
87
 
3.9%
38
 
1.7%
32
 
1.4%
30
 
1.3%
Other values (205) 1132
50.8%
Other Punctuation
ValueCountFrequency (%)
, 56
75.7%
/ 15
 
20.3%
. 3
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
g 1
33.3%
l 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
P 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 164
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Space Separator
ValueCountFrequency (%)
93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2227
81.6%
Common 496
 
18.2%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
347
 
15.6%
152
 
6.8%
137
 
6.2%
93
 
4.2%
90
 
4.0%
89
 
4.0%
87
 
3.9%
38
 
1.7%
32
 
1.4%
30
 
1.3%
Other values (205) 1132
50.8%
Common
ValueCountFrequency (%)
) 164
33.1%
( 164
33.1%
93
18.8%
, 56
 
11.3%
/ 15
 
3.0%
. 3
 
0.6%
- 1
 
0.2%
Latin
ValueCountFrequency (%)
p 1
20.0%
g 1
20.0%
l 1
20.0%
L 1
20.0%
P 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2227
81.6%
ASCII 501
 
18.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
347
 
15.6%
152
 
6.8%
137
 
6.2%
93
 
4.2%
90
 
4.0%
89
 
4.0%
87
 
3.9%
38
 
1.7%
32
 
1.4%
30
 
1.3%
Other values (205) 1132
50.8%
ASCII
ValueCountFrequency (%)
) 164
32.7%
( 164
32.7%
93
18.6%
, 56
 
11.2%
/ 15
 
3.0%
. 3
 
0.6%
p 1
 
0.2%
g 1
 
0.2%
l 1
 
0.2%
L 1
 
0.2%
Other values (2) 2
 
0.4%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2020-09-15
587 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-09-15
2nd row2020-09-15
3rd row2020-09-15
4th row2020-09-15
5th row2020-09-15

Common Values

ValueCountFrequency (%)
2020-09-15 587
100.0%

Length

2023-12-13T04:58:30.415858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:58:30.508314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-09-15 587
100.0%

Interactions

2023-12-13T04:58:27.566453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:58:30.581199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지
연번1.0000.633
소재지0.6331.000
2023-12-13T04:58:30.670936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지
연번1.0000.331
소재지0.3311.000

Missing values

2023-12-13T04:58:27.696725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:58:27.824596image/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

연번소재지상호명주소업종데이터기준일
01함양읍1000짱경상남도 함양군 함양읍 함양로 1148소매점2020-09-15
12함양읍1001안경콘텍트경상남도 함양군 함양읍 고운로 65-1안경점2020-09-15
23함양읍1004화로구이경상남도 함양군 함양읍 필봉산길 63 1004화로구이음식/한식/육류2020-09-15
34함양읍1번지양봉원경상남도 함양군 함양읍 한들로 23-4 갈비 1번지축산/양봉/숙성벌꿀/효소벌꿀/화분2020-09-15
45함양읍60계치킨 함양점경상남도 함양군 함양읍 함양로 1119치킨2020-09-15
56함양읍7-세븐 함양교산별빛점경상남도 함양군 함양읍 교산3길 6 (함양한주아파트) 105-302도매, 소매 및 편의점품목2020-09-15
67함양읍Cate Tea Talk(카페 틱톡)경상남도 함양군 함양읍 고운로 66 205호카페2020-09-15
78함양읍CU함양상림공원점경상남도 함양군 함양읍 필봉산길 48편의점2020-09-15
89함양읍DC마트경상남도 함양군 함양읍 용평중앙길4소매점2020-09-15
910함양읍GS25함양 필봉산길점경상남도 함양군 함양읍 용평6길 19-9 단독주택소매업2020-09-15
연번소재지상호명주소업종데이터기준일
577578안의면화장품나라경상남도 함양군 안의면 광풍로 132화장품2020-09-15
578579서하면황석산장식당경상남도 함양군 서하면 육십령로 2728식당(한식)2020-09-15
579580휴천면지리산높은들농원경상남도 함양군 휴천면 금반길 110-2농업2020-09-15
580581휴천면지리산야생삼경상남도 함양군 휴천면 천왕봉로 2445약초2020-09-15
581582휴천면지리산양성식당경상남도 함양군 휴천면 천왕봉로 2439 지리산양성식당식당(한식)2020-09-15
582583휴천면지리산황금나무경상남도 함양군 휴천면 한남안길 15 ..서비스업(체험) 즉석판매제조가공업(제과/제빵)2020-09-15
583584휴천면코리아신토불이경상남도 함양군 휴천면 금반길 31-41소매업2020-09-15
584585휴천면함양농협 휴천지점 하나로마트경상남도 함양군 휴천면 휴천로 492 함양농협 휴천지점 하나로마트식료품, 잡화2020-09-15
585586휴천면함양농협휴천지점경상남도 함양군 휴천면 휴천로 492 함양농협 휴천지점비료, 농약, 농업자재 등2020-09-15
586587휴천면휴천주유소경상남도 함양군 휴천면 천왕봉로 2445주유소2020-09-15