Overview

Dataset statistics

Number of variables13
Number of observations900
Missing cells30
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory94.2 KiB
Average record size in memory107.1 B

Variable types

Numeric3
Categorical6
Text3
DateTime1

Dataset

Description경상남도 의령군의 지역화폐 가맹점 현황 데이터 입니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15106742

Alerts

시군구 has constant value ""Constant
사용가능 지역화폐 has constant value ""Constant
데이터기준일 has constant value ""Constant
소재지(법정동) is highly overall correlated with 위도 and 2 other fieldsHigh correlation
가맹점유형 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
업태 is highly overall correlated with 업종High correlation
연번 is highly overall correlated with 업종High correlation
위도 is highly overall correlated with 소재지(법정동) and 1 other fieldsHigh correlation
경도 is highly overall correlated with 소재지(법정동) and 1 other fieldsHigh correlation
업태 is highly imbalanced (75.5%)Imbalance
가맹점기본주소(지번) has 10 (1.1%) missing valuesMissing
위도 has 10 (1.1%) missing valuesMissing
경도 has 10 (1.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:28:53.311746
Analysis finished2023-12-10 23:28:55.226932
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct900
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450.5
Minimum1
Maximum900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T08:28:55.284634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile45.95
Q1225.75
median450.5
Q3675.25
95-th percentile855.05
Maximum900
Range899
Interquartile range (IQR)449.5

Descriptive statistics

Standard deviation259.95192
Coefficient of variation (CV)0.57702979
Kurtosis-1.2
Mean450.5
Median Absolute Deviation (MAD)225
Skewness0
Sum405450
Variance67575
MonotonicityStrictly increasing
2023-12-11T08:28:55.405982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
565 1
 
0.1%
595 1
 
0.1%
596 1
 
0.1%
597 1
 
0.1%
598 1
 
0.1%
599 1
 
0.1%
600 1
 
0.1%
601 1
 
0.1%
602 1
 
0.1%
Other values (890) 890
98.9%
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 (%)
900 1
0.1%
899 1
0.1%
898 1
0.1%
897 1
0.1%
896 1
0.1%
895 1
0.1%
894 1
0.1%
893 1
0.1%
892 1
0.1%
891 1
0.1%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
의령군
900 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의령군 900
100.0%

Length

2023-12-11T08:28:55.513390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:28:55.592045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의령군 900
100.0%

사용가능 지역화폐
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
의령사랑상품권
900 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의령사랑상품권 900
100.0%

Length

2023-12-11T08:28:55.676454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:28:55.763461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의령사랑상품권 900
100.0%
Distinct865
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2023-12-11T08:28:56.019555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length6.1588889
Min length1

Characters and Unicode

Total characters5543
Distinct characters541
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique830 ?
Unique (%)92.2%

Sample

1st row한성가공사
2nd row오늘은왕갈비탕
3rd row삼성컴퓨터
4th row의령농협
5th row365여행카페테리아
ValueCountFrequency (%)
아모레 19
 
1.8%
하나로마트 17
 
1.6%
의령농협 13
 
1.2%
의령점 8
 
0.8%
씨유 6
 
0.6%
의령대리점 5
 
0.5%
의령 5
 
0.5%
경남의령점 5
 
0.5%
농업회사법인 4
 
0.4%
동부농협 4
 
0.4%
Other values (928) 979
91.9%
2023-12-11T08:28:56.406481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
3.4%
167
 
3.0%
155
 
2.8%
121
 
2.2%
107
 
1.9%
79
 
1.4%
75
 
1.4%
68
 
1.2%
64
 
1.2%
62
 
1.1%
Other values (531) 4454
80.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5176
93.4%
Space Separator 167
 
3.0%
Uppercase Letter 55
 
1.0%
Decimal Number 35
 
0.6%
Other Punctuation 30
 
0.5%
Connector Punctuation 19
 
0.3%
Open Punctuation 18
 
0.3%
Close Punctuation 18
 
0.3%
Lowercase Letter 15
 
0.3%
Other Symbol 5
 
0.1%
Other values (2) 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
191
 
3.7%
155
 
3.0%
121
 
2.3%
107
 
2.1%
79
 
1.5%
75
 
1.4%
68
 
1.3%
64
 
1.2%
62
 
1.2%
60
 
1.2%
Other values (487) 4194
81.0%
Uppercase Letter
ValueCountFrequency (%)
S 11
20.0%
G 10
18.2%
C 6
10.9%
P 4
 
7.3%
K 3
 
5.5%
D 3
 
5.5%
E 3
 
5.5%
L 3
 
5.5%
I 2
 
3.6%
F 2
 
3.6%
Other values (8) 8
14.5%
Decimal Number
ValueCountFrequency (%)
5 8
22.9%
1 7
20.0%
2 7
20.0%
3 3
 
8.6%
6 3
 
8.6%
0 3
 
8.6%
4 2
 
5.7%
7 1
 
2.9%
9 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 6
40.0%
f 4
26.7%
c 2
 
13.3%
o 2
 
13.3%
g 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 19
63.3%
& 5
 
16.7%
, 4
 
13.3%
. 2
 
6.7%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
167
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Symbol
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5181
93.5%
Common 292
 
5.3%
Latin 70
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
191
 
3.7%
155
 
3.0%
121
 
2.3%
107
 
2.1%
79
 
1.5%
75
 
1.4%
68
 
1.3%
64
 
1.2%
62
 
1.2%
60
 
1.2%
Other values (488) 4199
81.0%
Latin
ValueCountFrequency (%)
S 11
15.7%
G 10
14.3%
C 6
 
8.6%
e 6
 
8.6%
f 4
 
5.7%
P 4
 
5.7%
K 3
 
4.3%
D 3
 
4.3%
E 3
 
4.3%
L 3
 
4.3%
Other values (13) 17
24.3%
Common
ValueCountFrequency (%)
167
57.2%
* 19
 
6.5%
_ 19
 
6.5%
( 18
 
6.2%
) 18
 
6.2%
5 8
 
2.7%
1 7
 
2.4%
2 7
 
2.4%
& 5
 
1.7%
, 4
 
1.4%
Other values (10) 20
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5176
93.4%
ASCII 362
 
6.5%
None 5
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
191
 
3.7%
155
 
3.0%
121
 
2.3%
107
 
2.1%
79
 
1.5%
75
 
1.4%
68
 
1.3%
64
 
1.2%
62
 
1.2%
60
 
1.2%
Other values (487) 4194
81.0%
ASCII
ValueCountFrequency (%)
167
46.1%
* 19
 
5.2%
_ 19
 
5.2%
( 18
 
5.0%
) 18
 
5.0%
S 11
 
3.0%
G 10
 
2.8%
5 8
 
2.2%
1 7
 
1.9%
2 7
 
1.9%
Other values (33) 78
21.5%
None
ValueCountFrequency (%)
5
100.0%
Distinct667
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2023-12-11T08:28:56.720591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length37
Mean length21.493333
Min length18

Characters and Unicode

Total characters19344
Distinct characters122
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

Unique512 ?
Unique (%)56.9%

Sample

1st row경상남도 의령군 의령읍 충익로 35
2nd row경상남도 의령군 의령읍 충익로 47-12
3rd row경상남도 의령군 의령읍 의병로 246
4th row경상남도 의령군 의령읍 충익로 40
5th row경상남도 의령군 의령읍 의병로24길 8
ValueCountFrequency (%)
경상남도 900
19.9%
의령군 900
19.9%
의령읍 602
 
13.3%
의병로 149
 
3.3%
부림면 125
 
2.8%
충익로 113
 
2.5%
의병로20길 60
 
1.3%
대한로 41
 
0.9%
신번로 39
 
0.9%
의병로14길 32
 
0.7%
Other values (570) 1555
34.4%
2023-12-11T08:28:57.149193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3616
18.7%
2010
 
10.4%
1515
 
7.8%
917
 
4.7%
906
 
4.7%
900
 
4.7%
900
 
4.7%
900
 
4.7%
887
 
4.6%
1 717
 
3.7%
Other values (112) 6076
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12272
63.4%
Space Separator 3616
 
18.7%
Decimal Number 3048
 
15.8%
Dash Punctuation 344
 
1.8%
Close Punctuation 25
 
0.1%
Open Punctuation 25
 
0.1%
Uppercase Letter 12
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2010
16.4%
1515
12.3%
917
 
7.5%
906
 
7.4%
900
 
7.3%
900
 
7.3%
900
 
7.3%
887
 
7.2%
602
 
4.9%
419
 
3.4%
Other values (93) 2316
18.9%
Decimal Number
ValueCountFrequency (%)
1 717
23.5%
2 601
19.7%
3 282
 
9.3%
7 269
 
8.8%
4 258
 
8.5%
6 202
 
6.6%
5 195
 
6.4%
9 184
 
6.0%
8 173
 
5.7%
0 167
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
V 3
25.0%
W 3
25.0%
I 3
25.0%
E 3
25.0%
Space Separator
ValueCountFrequency (%)
3616
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 344
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12272
63.4%
Common 7060
36.5%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2010
16.4%
1515
12.3%
917
 
7.5%
906
 
7.4%
900
 
7.3%
900
 
7.3%
900
 
7.3%
887
 
7.2%
602
 
4.9%
419
 
3.4%
Other values (93) 2316
18.9%
Common
ValueCountFrequency (%)
3616
51.2%
1 717
 
10.2%
2 601
 
8.5%
- 344
 
4.9%
3 282
 
4.0%
7 269
 
3.8%
4 258
 
3.7%
6 202
 
2.9%
5 195
 
2.8%
9 184
 
2.6%
Other values (5) 392
 
5.6%
Latin
ValueCountFrequency (%)
V 3
25.0%
W 3
25.0%
I 3
25.0%
E 3
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12272
63.4%
ASCII 7072
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3616
51.1%
1 717
 
10.1%
2 601
 
8.5%
- 344
 
4.9%
3 282
 
4.0%
7 269
 
3.8%
4 258
 
3.6%
6 202
 
2.9%
5 195
 
2.8%
9 184
 
2.6%
Other values (9) 404
 
5.7%
Hangul
ValueCountFrequency (%)
2010
16.4%
1515
12.3%
917
 
7.5%
906
 
7.4%
900
 
7.3%
900
 
7.3%
900
 
7.3%
887
 
7.2%
602
 
4.9%
419
 
3.4%
Other values (93) 2316
18.9%
Distinct606
Distinct (%)68.1%
Missing10
Missing (%)1.1%
Memory size7.2 KiB
2023-12-11T08:28:57.391561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length22.041573
Min length19

Characters and Unicode

Total characters19617
Distinct characters94
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique441 ?
Unique (%)49.6%

Sample

1st row경상남도 의령군 의령읍 중동리 386-20
2nd row경상남도 의령군 의령읍 중동리 339
3rd row경상남도 의령군 의령읍 중동리 395-5
4th row경상남도 의령군 의령읍 중동리 394-39
5th row경상남도 의령군 의령읍 중동리 399-5
ValueCountFrequency (%)
경상남도 890
19.9%
의령군 890
19.9%
의령읍 592
13.3%
중동리 290
 
6.5%
서동리 211
 
4.7%
부림면 125
 
2.8%
신반리 120
 
2.7%
동동리 69
 
1.5%
가례면 30
 
0.7%
정곡면 25
 
0.6%
Other values (663) 1220
27.3%
2023-12-11T08:28:57.727925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3572
18.2%
1504
 
7.7%
1482
 
7.6%
901
 
4.6%
892
 
4.5%
890
 
4.5%
890
 
4.5%
890
 
4.5%
890
 
4.5%
- 785
 
4.0%
Other values (84) 6921
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11572
59.0%
Decimal Number 3688
 
18.8%
Space Separator 3572
 
18.2%
Dash Punctuation 785
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1504
13.0%
1482
12.8%
901
7.8%
892
7.7%
890
7.7%
890
7.7%
890
7.7%
890
7.7%
640
 
5.5%
592
 
5.1%
Other values (72) 2001
17.3%
Decimal Number
ValueCountFrequency (%)
1 548
14.9%
4 545
14.8%
3 528
14.3%
9 347
9.4%
5 327
8.9%
2 325
8.8%
8 317
8.6%
6 297
8.1%
7 252
6.8%
0 202
 
5.5%
Space Separator
ValueCountFrequency (%)
3572
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 785
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11572
59.0%
Common 8045
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1504
13.0%
1482
12.8%
901
7.8%
892
7.7%
890
7.7%
890
7.7%
890
7.7%
890
7.7%
640
 
5.5%
592
 
5.1%
Other values (72) 2001
17.3%
Common
ValueCountFrequency (%)
3572
44.4%
- 785
 
9.8%
1 548
 
6.8%
4 545
 
6.8%
3 528
 
6.6%
9 347
 
4.3%
5 327
 
4.1%
2 325
 
4.0%
8 317
 
3.9%
6 297
 
3.7%
Other values (2) 454
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11572
59.0%
ASCII 8045
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3572
44.4%
- 785
 
9.8%
1 548
 
6.8%
4 545
 
6.8%
3 528
 
6.6%
9 347
 
4.3%
5 327
 
4.1%
2 325
 
4.0%
8 317
 
3.9%
6 297
 
3.7%
Other values (2) 454
 
5.6%
Hangul
ValueCountFrequency (%)
1504
13.0%
1482
12.8%
901
7.8%
892
7.7%
890
7.7%
890
7.7%
890
7.7%
890
7.7%
640
 
5.5%
592
 
5.1%
Other values (72) 2001
17.3%

소재지(법정동)
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
의령읍
602 
부림면
125 
가례면
 
30
정곡면
 
25
칠곡면
 
23
Other values (8)
95 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의령읍 602
66.9%
부림면 125
 
13.9%
가례면 30
 
3.3%
정곡면 25
 
2.8%
칠곡면 23
 
2.6%
대의면 22
 
2.4%
지정면 16
 
1.8%
궁류면 15
 
1.7%
용덕면 13
 
1.4%
화정면 10
 
1.1%
Other values (3) 19
 
2.1%

Length

2023-12-11T08:28:57.838370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의령읍 602
66.9%
부림면 125
 
13.9%
가례면 30
 
3.3%
정곡면 25
 
2.8%
칠곡면 23
 
2.6%
대의면 22
 
2.4%
지정면 16
 
1.8%
궁류면 15
 
1.7%
용덕면 13
 
1.4%
화정면 10
 
1.1%
Other values (3) 19
 
2.1%

가맹점유형
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
음식점업
343 
소매업
258 
기타
242 
개인서비스업
 
18
제조업
 
17
Other values (4)
 
22

Length

Max length11
Median length6
Mean length3.2333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row소매업
2nd row음식점업
3rd row기타
4th row소매업
5th row음식점업

Common Values

ValueCountFrequency (%)
음식점업 343
38.1%
소매업 258
28.7%
기타 242
26.9%
개인서비스업 18
 
2.0%
제조업 17
 
1.9%
숙박업 6
 
0.7%
보건업 6
 
0.7%
교육서비스업 5
 
0.6%
스포츠여가관련서비스업 5
 
0.6%

Length

2023-12-11T08:28:58.185364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:28:58.299232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음식점업 343
38.1%
소매업 258
28.7%
기타 242
26.9%
개인서비스업 18
 
2.0%
제조업 17
 
1.9%
숙박업 6
 
0.7%
보건업 6
 
0.7%
교육서비스업 5
 
0.6%
스포츠여가관련서비스업 5
 
0.6%

업종
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
784 
일반음식점
116 

Length

Max length5
Median length4
Mean length4.1288889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row일반음식점
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 784
87.1%
일반음식점 116
 
12.9%

Length

2023-12-11T08:28:58.419813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:28:58.531872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 784
87.1%
일반음식점 116
 
12.9%

업태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct12
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
788 
한식
 
43
기타
 
23
식육(숯불구이)
 
11
중국식
 
8
Other values (7)
 
27

Length

Max length10
Median length4
Mean length3.8766667
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row한식
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 788
87.6%
한식 43
 
4.8%
기타 23
 
2.6%
식육(숯불구이) 11
 
1.2%
중국식 8
 
0.9%
분식 8
 
0.9%
경양식 6
 
0.7%
호프/통닭 5
 
0.6%
회집 4
 
0.4%
탕류(보신용) 2
 
0.2%
Other values (2) 2
 
0.2%

Length

2023-12-11T08:28:58.640883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 788
87.6%
한식 43
 
4.8%
기타 23
 
2.6%
식육(숯불구이 11
 
1.2%
중국식 8
 
0.9%
분식 8
 
0.9%
경양식 6
 
0.7%
호프/통닭 5
 
0.6%
회집 4
 
0.4%
탕류(보신용 2
 
0.2%
Other values (2) 2
 
0.2%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct655
Distinct (%)73.6%
Missing10
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean35.349805
Minimum35.25951
Maximum35.488213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T08:28:58.756869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.25951
5-th percentile35.31575
Q135.318824
median35.319871
Q335.364959
95-th percentile35.467419
Maximum35.488213
Range0.22870346
Interquartile range (IQR)0.046135518

Descriptive statistics

Standard deviation0.055595662
Coefficient of variation (CV)0.001572729
Kurtosis0.34064173
Mean35.349805
Median Absolute Deviation (MAD)0.00184032
Skewness1.3884332
Sum31461.326
Variance0.0030908777
MonotonicityNot monotonic
2023-12-11T08:28:58.875002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.31759677 19
 
2.1%
35.31575022 11
 
1.2%
35.32093755 6
 
0.7%
35.38948082 5
 
0.6%
35.31545351 5
 
0.6%
35.31830726 4
 
0.4%
35.46590121 4
 
0.4%
35.31906455 4
 
0.4%
35.31967389 4
 
0.4%
35.32018309 4
 
0.4%
Other values (645) 824
91.6%
(Missing) 10
 
1.1%
ValueCountFrequency (%)
35.25950962 1
0.1%
35.26054676 1
0.1%
35.26061196 1
0.1%
35.26114157 1
0.1%
35.26165255 1
0.1%
35.2624103 1
0.1%
35.27445978 1
0.1%
35.27788215 1
0.1%
35.27825197 1
0.1%
35.27853352 1
0.1%
ValueCountFrequency (%)
35.48821308 1
0.1%
35.48358667 1
0.1%
35.48251132 1
0.1%
35.48230727 1
0.1%
35.48106397 1
0.1%
35.47869219 1
0.1%
35.47765746 1
0.1%
35.47608436 1
0.1%
35.47555554 1
0.1%
35.47190429 1
0.1%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct656
Distinct (%)73.7%
Missing10
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean128.26893
Minimum128.1024
Maximum128.4135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T08:28:59.012298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.1024
5-th percentile128.20522
Q1128.25933
median128.26155
Q3128.26855
95-th percentile128.32622
Maximum128.4135
Range0.3110963
Interquartile range (IQR)0.00922115

Descriptive statistics

Standard deviation0.043059999
Coefficient of variation (CV)0.00033570093
Kurtosis4.0772414
Mean128.26893
Median Absolute Deviation (MAD)0.0033777
Skewness-0.3958366
Sum114159.35
Variance0.0018541635
MonotonicityNot monotonic
2023-12-11T08:28:59.153359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.261368 19
 
2.1%
128.2615357 11
 
1.2%
128.2688118 6
 
0.7%
128.3302846 5
 
0.6%
128.2558931 5
 
0.6%
128.2618841 4
 
0.4%
128.2587272 4
 
0.4%
128.3250602 4
 
0.4%
128.2630852 4
 
0.4%
128.2602828 4
 
0.4%
Other values (646) 824
91.6%
(Missing) 10
 
1.1%
ValueCountFrequency (%)
128.1024016 1
0.1%
128.103803 1
0.1%
128.1055788 1
0.1%
128.1063565 1
0.1%
128.1063849 1
0.1%
128.1065723 1
0.1%
128.1068425 1
0.1%
128.1071241 1
0.1%
128.1071442 1
0.1%
128.1072057 1
0.1%
ValueCountFrequency (%)
128.4134979 1
0.1%
128.4129754 1
0.1%
128.4128575 1
0.1%
128.4113311 1
0.1%
128.4112563 1
0.1%
128.4110771 1
0.1%
128.4087213 1
0.1%
128.4078159 2
0.2%
128.4043394 1
0.1%
128.3946688 1
0.1%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
Minimum2022-09-14 00:00:00
Maximum2022-09-14 00:00:00
2023-12-11T08:28:59.244664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:59.327266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:28:54.612948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:54.030135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:54.271896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:54.698144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:54.105451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:54.369172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:54.782853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:54.187054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:54.481641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:28:59.396697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지(법정동)가맹점유형업태위도경도
연번1.0000.2690.2220.1550.2730.288
소재지(법정동)0.2691.0000.0950.2480.9260.913
가맹점유형0.2220.0951.0000.0000.1910.081
업태0.1550.2480.0001.0000.4500.000
위도0.2730.9260.1910.4501.0000.892
경도0.2880.9130.0810.0000.8921.000
2023-12-11T08:28:59.487767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지(법정동)가맹점유형업종업태
소재지(법정동)1.0000.0411.0000.097
가맹점유형0.0411.0001.0000.000
업종1.0001.0001.0001.000
업태0.0970.0001.0001.000
2023-12-11T08:28:59.573298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도소재지(법정동)가맹점유형업종업태
연번1.0000.046-0.0030.1140.1021.0000.059
위도0.0461.0000.3710.7340.0871.0000.218
경도-0.0030.3711.0000.7000.0371.0000.000
소재지(법정동)0.1140.7340.7001.0000.0411.0000.097
가맹점유형0.1020.0870.0370.0411.0001.0000.000
업종1.0001.0001.0001.0001.0001.0001.000
업태0.0590.2180.0000.0970.0001.0001.000

Missing values

2023-12-11T08:28:54.911799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:28:55.069258image/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.
2023-12-11T08:28:55.173189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번시군구사용가능 지역화폐가맹점명가맹점기본주소(도로명)가맹점기본주소(지번)소재지(법정동)가맹점유형업종업태위도경도데이터기준일
01의령군의령사랑상품권한성가공사경상남도 의령군 의령읍 충익로 35경상남도 의령군 의령읍 중동리 386-20의령읍소매업<NA><NA>35.319254128.2618742022-09-14
12의령군의령사랑상품권오늘은왕갈비탕경상남도 의령군 의령읍 충익로 47-12경상남도 의령군 의령읍 중동리 339의령읍음식점업일반음식점한식35.320149128.2613552022-09-14
23의령군의령사랑상품권삼성컴퓨터경상남도 의령군 의령읍 의병로 246경상남도 의령군 의령읍 중동리 395-5의령읍기타<NA><NA>35.319869128.2635052022-09-14
34의령군의령사랑상품권의령농협경상남도 의령군 의령읍 충익로 40경상남도 의령군 의령읍 중동리 394-39의령읍소매업<NA><NA>35.319636128.2621292022-09-14
45의령군의령사랑상품권365여행카페테리아경상남도 의령군 의령읍 의병로24길 8경상남도 의령군 의령읍 중동리 399-5의령읍음식점업<NA><NA>35.319633128.2639962022-09-14
56의령군의령사랑상품권아이스크림 할인마트경상남도 의령군 의령읍 의병로 221경상남도 의령군 의령읍 서동리 490-19의령읍기타<NA><NA>35.319793128.2608742022-09-14
67의령군의령사랑상품권선두식육유통경상남도 의령군 의령읍 의병로16길 16경상남도 의령군 의령읍 서동리 503-3의령읍소매업<NA><NA>35.318167128.2598982022-09-14
78의령군의령사랑상품권덕원농원경상남도 의령군 의령읍 중리로1길 21-4경상남도 의령군 의령읍 중리 343-2의령읍소매업<NA><NA>35.294059128.2484632022-09-14
89의령군의령사랑상품권의령양곡상회경상남도 의령군 의령읍 의병로20길 16경상남도 의령군 의령읍 서동리 491-37의령읍소매업<NA><NA>35.319072128.2612022-09-14
910의령군의령사랑상품권커피루경상남도 의령군 의령읍 의병로16길 16경상남도 의령군 의령읍 서동리 503-3의령읍음식점업일반음식점기타35.318167128.2598982022-09-14
연번시군구사용가능 지역화폐가맹점명가맹점기본주소(도로명)가맹점기본주소(지번)소재지(법정동)가맹점유형업종업태위도경도데이터기준일
890891의령군의령사랑상품권삼성영어교습소경상남도 의령군 의령읍 의병로 235경상남도 의령군 의령읍 중동리 373-3의령읍기타<NA><NA>35.320021128.2624412022-09-14
891892의령군의령사랑상품권씨유의령서동원룸점경상남도 의령군 의령읍 의병로14길 4경상남도 의령군 의령읍 서동리 301-9의령읍소매업<NA><NA>35.319103128.2585572022-09-14
892893의령군의령사랑상품권봉황음식점경상남도 의령군 궁류면 궁류로1길 19경상남도 의령군 궁류면 운계리 938-44궁류면음식점업일반음식점한식35.437568128.2487342022-09-14
893894의령군의령사랑상품권갑을골권역영농조합법인경상남도 의령군 가례면 가례로 729경상남도 의령군 가례면 개승리 304가례면숙박업<NA><NA>35.381824128.2304512022-09-14
894895의령군의령사랑상품권도자기에국시한그릇경상남도 의령군 가례면 의령대로 1085-6경상남도 의령군 가례면 봉두리 131-4가례면음식점업<NA><NA>35.335337128.209582022-09-14
895896의령군의령사랑상품권송이이모 버섯농장경상남도 의령군 부림면 손오로 78-21경상남도 의령군 부림면 손오리 926-6부림면기타<NA><NA>35.454071128.3570392022-09-14
896897의령군의령사랑상품권생방송경상남도 의령군 부림면 신번로 152경상남도 의령군 부림면 신반리 360-9부림면음식점업일반음식점호프/통닭35.46676128.3243492022-09-14
897898의령군의령사랑상품권부림시장식당경상남도 의령군 부림면 신번로7길 10-6경상남도 의령군 부림면 신반리 519-3부림면음식점업<NA><NA>35.467705128.3249352022-09-14
898899의령군의령사랑상품권출출할때경상남도 의령군 부림면 신번로7길 8-1경상남도 의령군 부림면 신반리 777-10부림면음식점업일반음식점기타35.467684128.3248022022-09-14
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