Overview

Dataset statistics

Number of variables8
Number of observations1175
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory74.7 KiB
Average record size in memory65.1 B

Variable types

Numeric1
Categorical5
Text2

Dataset

Description경상북도 봉화군의 봉화사랑상품권 가맹점 현황을 나타내는 데이터입니다. 행정구역, 업소명, 주소, 구분 등을 포함하고 있습니다.
Author경상북도 봉화군
URLhttps://www.data.go.kr/data/15126484/fileData.do

Alerts

시도명 has constant value ""Constant
시군명 has constant value ""Constant
데이터기준일 has constant value ""Constant
번호 is highly overall correlated with 행정구역High correlation
행정구역 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:22:01.442353
Analysis finished2024-03-14 09:22:03.120252
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean588
Minimum1
Maximum1175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-14T18:22:03.322897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59.7
Q1294.5
median588
Q3881.5
95-th percentile1116.3
Maximum1175
Range1174
Interquartile range (IQR)587

Descriptive statistics

Standard deviation339.33759
Coefficient of variation (CV)0.57710474
Kurtosis-1.2
Mean588
Median Absolute Deviation (MAD)294
Skewness0
Sum690900
Variance115150
MonotonicityStrictly increasing
2024-03-14T18:22:03.770003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
773 1
 
0.1%
789 1
 
0.1%
788 1
 
0.1%
787 1
 
0.1%
786 1
 
0.1%
785 1
 
0.1%
784 1
 
0.1%
783 1
 
0.1%
782 1
 
0.1%
Other values (1165) 1165
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1175 1
0.1%
1174 1
0.1%
1173 1
0.1%
1172 1
0.1%
1171 1
0.1%
1170 1
0.1%
1169 1
0.1%
1168 1
0.1%
1167 1
0.1%
1166 1
0.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
경상북도
1175 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상북도 1175
100.0%

Length

2024-03-14T18:22:04.187724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:22:04.484427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 1175
100.0%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
봉화군
1175 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
봉화군 1175
100.0%

Length

2024-03-14T18:22:04.804285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:22:05.106569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
봉화군 1175
100.0%

행정구역
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
봉화읍
589 
춘양면
195 
봉성면
72 
소천면
68 
석포면
60 
Other values (5)
191 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row봉화읍
2nd row석포면
3rd row재산면
4th row봉화읍
5th row봉화읍

Common Values

ValueCountFrequency (%)
봉화읍 589
50.1%
춘양면 195
 
16.6%
봉성면 72
 
6.1%
소천면 68
 
5.8%
석포면 60
 
5.1%
물야면 59
 
5.0%
명호면 59
 
5.0%
재산면 34
 
2.9%
법전면 24
 
2.0%
상운면 15
 
1.3%

Length

2024-03-14T18:22:05.419377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:22:05.766478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
봉화읍 589
50.1%
춘양면 195
 
16.6%
봉성면 72
 
6.1%
소천면 68
 
5.8%
석포면 60
 
5.1%
물야면 59
 
5.0%
명호면 59
 
5.0%
재산면 34
 
2.9%
법전면 24
 
2.0%
상운면 15
 
1.3%
Distinct1138
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-03-14T18:22:06.701852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length5.8357447
Min length2

Characters and Unicode

Total characters6857
Distinct characters554
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

Unique1105 ?
Unique (%)94.0%

Sample

1st row싱싱식당
2nd row부래주유소
3rd row재산식당
4th row굽닭
5th row굽닭
ValueCountFrequency (%)
봉화점 9
 
0.7%
농업회사법인 6
 
0.5%
중앙식당 5
 
0.4%
경북봉화점 4
 
0.3%
주식회사 4
 
0.3%
세븐일레븐 3
 
0.2%
봉화대리점 3
 
0.2%
영농조합법인 3
 
0.2%
안동봉화축산업협동조합 3
 
0.2%
삼거리식당 3
 
0.2%
Other values (1218) 1262
96.7%
2024-03-14T18:22:08.095965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
 
3.0%
196
 
2.9%
187
 
2.7%
148
 
2.2%
130
 
1.9%
98
 
1.4%
98
 
1.4%
95
 
1.4%
92
 
1.3%
87
 
1.3%
Other values (544) 5518
80.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6570
95.8%
Space Separator 130
 
1.9%
Uppercase Letter 49
 
0.7%
Decimal Number 29
 
0.4%
Close Punctuation 26
 
0.4%
Open Punctuation 26
 
0.4%
Other Punctuation 13
 
0.2%
Lowercase Letter 8
 
0.1%
Other Symbol 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
208
 
3.2%
196
 
3.0%
187
 
2.8%
148
 
2.3%
98
 
1.5%
98
 
1.5%
95
 
1.4%
92
 
1.4%
87
 
1.3%
83
 
1.3%
Other values (501) 5278
80.3%
Uppercase Letter
ValueCountFrequency (%)
G 7
14.3%
B 6
12.2%
O 4
 
8.2%
C 4
 
8.2%
P 3
 
6.1%
A 3
 
6.1%
H 3
 
6.1%
K 3
 
6.1%
S 3
 
6.1%
L 2
 
4.1%
Other values (8) 11
22.4%
Decimal Number
ValueCountFrequency (%)
6 6
20.7%
2 6
20.7%
1 4
13.8%
8 4
13.8%
0 3
10.3%
7 2
 
6.9%
5 2
 
6.9%
9 1
 
3.4%
4 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
37.5%
l 1
 
12.5%
m 1
 
12.5%
y 1
 
12.5%
n 1
 
12.5%
o 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 8
61.5%
2
 
15.4%
& 2
 
15.4%
, 1
 
7.7%
Space Separator
ValueCountFrequency (%)
130
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6574
95.9%
Common 226
 
3.3%
Latin 57
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
208
 
3.2%
196
 
3.0%
187
 
2.8%
148
 
2.3%
98
 
1.5%
98
 
1.5%
95
 
1.4%
92
 
1.4%
87
 
1.3%
83
 
1.3%
Other values (502) 5282
80.3%
Latin
ValueCountFrequency (%)
G 7
 
12.3%
B 6
 
10.5%
O 4
 
7.0%
C 4
 
7.0%
P 3
 
5.3%
A 3
 
5.3%
H 3
 
5.3%
K 3
 
5.3%
e 3
 
5.3%
S 3
 
5.3%
Other values (14) 18
31.6%
Common
ValueCountFrequency (%)
130
57.5%
) 26
 
11.5%
( 26
 
11.5%
. 8
 
3.5%
6 6
 
2.7%
2 6
 
2.7%
1 4
 
1.8%
8 4
 
1.8%
0 3
 
1.3%
2
 
0.9%
Other values (8) 11
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6570
95.8%
ASCII 281
 
4.1%
None 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
208
 
3.2%
196
 
3.0%
187
 
2.8%
148
 
2.3%
98
 
1.5%
98
 
1.5%
95
 
1.4%
92
 
1.4%
87
 
1.3%
83
 
1.3%
Other values (501) 5278
80.3%
ASCII
ValueCountFrequency (%)
130
46.3%
) 26
 
9.3%
( 26
 
9.3%
. 8
 
2.8%
G 7
 
2.5%
6 6
 
2.1%
2 6
 
2.1%
B 6
 
2.1%
O 4
 
1.4%
1 4
 
1.4%
Other values (31) 58
20.6%
None
ValueCountFrequency (%)
4
66.7%
2
33.3%

주소
Text

Distinct987
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-03-14T18:22:09.524429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length21.845957
Min length17

Characters and Unicode

Total characters25669
Distinct characters209
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

Unique867 ?
Unique (%)73.8%

Sample

1st row경상북도 봉화군 봉성면 봉명로 565-1
2nd row경상북도 봉화군 석포면 청옥로 1762
3rd row경상북도 봉화군 재산면 재산로 510
4th row경상북도 봉화군 봉화읍 내성로1길 50
5th row경상북도 봉화군 봉화읍 내성로 1길 50
ValueCountFrequency (%)
경상북도 1176
19.5%
봉화군 1176
19.5%
봉화읍 583
 
9.7%
춘양면 196
 
3.3%
봉화로 141
 
2.3%
내성리 76
 
1.3%
내성로 75
 
1.2%
봉성면 73
 
1.2%
의양로 73
 
1.2%
소천면 68
 
1.1%
Other values (947) 2382
39.6%
2024-03-14T18:22:11.375162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4844
18.9%
2031
 
7.9%
1913
 
7.5%
1 1250
 
4.9%
1201
 
4.7%
1189
 
4.6%
1177
 
4.6%
1176
 
4.6%
1176
 
4.6%
723
 
2.8%
Other values (199) 8989
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15999
62.3%
Space Separator 4844
 
18.9%
Decimal Number 4239
 
16.5%
Dash Punctuation 506
 
2.0%
Other Punctuation 59
 
0.2%
Close Punctuation 9
 
< 0.1%
Open Punctuation 9
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2031
12.7%
1913
12.0%
1201
 
7.5%
1189
 
7.4%
1177
 
7.4%
1176
 
7.4%
1176
 
7.4%
723
 
4.5%
591
 
3.7%
584
 
3.7%
Other values (179) 4238
26.5%
Decimal Number
ValueCountFrequency (%)
1 1250
29.5%
2 573
13.5%
3 436
 
10.3%
4 400
 
9.4%
5 327
 
7.7%
6 275
 
6.5%
0 256
 
6.0%
8 254
 
6.0%
7 237
 
5.6%
9 231
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
K 1
25.0%
F 1
25.0%
C 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 58
98.3%
. 1
 
1.7%
Space Separator
ValueCountFrequency (%)
4844
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 506
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15999
62.3%
Common 9666
37.7%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2031
12.7%
1913
12.0%
1201
 
7.5%
1189
 
7.4%
1177
 
7.4%
1176
 
7.4%
1176
 
7.4%
723
 
4.5%
591
 
3.7%
584
 
3.7%
Other values (179) 4238
26.5%
Common
ValueCountFrequency (%)
4844
50.1%
1 1250
 
12.9%
2 573
 
5.9%
- 506
 
5.2%
3 436
 
4.5%
4 400
 
4.1%
5 327
 
3.4%
6 275
 
2.8%
0 256
 
2.6%
8 254
 
2.6%
Other values (6) 545
 
5.6%
Latin
ValueCountFrequency (%)
T 1
25.0%
K 1
25.0%
F 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15999
62.3%
ASCII 9670
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4844
50.1%
1 1250
 
12.9%
2 573
 
5.9%
- 506
 
5.2%
3 436
 
4.5%
4 400
 
4.1%
5 327
 
3.4%
6 275
 
2.8%
0 256
 
2.6%
8 254
 
2.6%
Other values (10) 549
 
5.7%
Hangul
ValueCountFrequency (%)
2031
12.7%
1913
12.0%
1201
 
7.5%
1189
 
7.4%
1177
 
7.4%
1176
 
7.4%
1176
 
7.4%
723
 
4.5%
591
 
3.7%
584
 
3.7%
Other values (179) 4238
26.5%

구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
지류,카드
910 
지류
265 

Length

Max length5
Median length5
Mean length4.3234043
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지류
2nd row지류,카드
3rd row지류
4th row지류
5th row지류

Common Values

ValueCountFrequency (%)
지류,카드 910
77.4%
지류 265
 
22.6%

Length

2024-03-14T18:22:11.646910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:22:11.970748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지류,카드 910
77.4%
지류 265
 
22.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-01-25
1175 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-25
2nd row2024-01-25
3rd row2024-01-25
4th row2024-01-25
5th row2024-01-25

Common Values

ValueCountFrequency (%)
2024-01-25 1175
100.0%

Length

2024-03-14T18:22:12.305218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:22:12.607787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-25 1175
100.0%

Interactions

2024-03-14T18:22:02.174929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:22:12.783602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호행정구역구분
번호1.0000.9390.558
행정구역0.9391.0000.092
구분0.5580.0921.000
2024-03-14T18:22:13.033762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분행정구역
구분1.0000.070
행정구역0.0701.000
2024-03-14T18:22:13.264520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호행정구역구분
번호1.0000.5900.429
행정구역0.5901.0000.070
구분0.4290.0701.000

Missing values

2024-03-14T18:22:02.542341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:22:02.961111image/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

번호시도명시군명행정구역업소명주소구분데이터기준일
01경상북도봉화군봉화읍싱싱식당경상북도 봉화군 봉성면 봉명로 565-1지류2024-01-25
12경상북도봉화군석포면부래주유소경상북도 봉화군 석포면 청옥로 1762지류,카드2024-01-25
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