Overview

Dataset statistics

Number of variables11
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory94.3 B

Variable types

Numeric2
Text2
Categorical7

Alerts

업종_대분류 has constant value ""Constant
업종_중분류 has constant value ""Constant
업종_소분류 has constant value ""Constant
이용금액 has unique valuesUnique

Reproduction

Analysis started2024-03-03 14:50:12.796797
Analysis finished2024-03-03 14:50:15.120159
Duration2.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

이용일자
Real number (ℝ)

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20221105
Minimum20221101
Maximum20221107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-03T23:50:15.256166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20221101
5-th percentile20221101
Q120221104
median20221105
Q320221106
95-th percentile20221107
Maximum20221107
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.822276
Coefficient of variation (CV)9.0117527 × 10-8
Kurtosis-0.1916035
Mean20221105
Median Absolute Deviation (MAD)1
Skewness-0.83963137
Sum6.0663314 × 108
Variance3.3206897
MonotonicityNot monotonic
2024-03-03T23:50:15.603694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20221105 10
33.3%
20221106 7
23.3%
20221107 4
 
13.3%
20221101 3
 
10.0%
20221104 2
 
6.7%
20221102 2
 
6.7%
20221103 2
 
6.7%
ValueCountFrequency (%)
20221101 3
 
10.0%
20221102 2
 
6.7%
20221103 2
 
6.7%
20221104 2
 
6.7%
20221105 10
33.3%
20221106 7
23.3%
20221107 4
 
13.3%
ValueCountFrequency (%)
20221107 4
 
13.3%
20221106 7
23.3%
20221105 10
33.3%
20221104 2
 
6.7%
20221103 2
 
6.7%
20221102 2
 
6.7%
20221101 3
 
10.0%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-03T23:50:16.431916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length6.3333333
Min length5

Characters and Unicode

Total characters190
Distinct characters50
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row인천 중구
2nd row대구 북구
3rd row서울 강동구
4th row서울 용산구
5th row경기 연천군
ValueCountFrequency (%)
서울 8
 
12.7%
경기 8
 
12.7%
중구 3
 
4.8%
인천 2
 
3.2%
용산구 2
 
3.2%
전남 2
 
3.2%
대전 2
 
3.2%
전북 1
 
1.6%
춘천시 1
 
1.6%
영등포구 1
 
1.6%
Other values (33) 33
52.4%
2024-03-03T23:50:17.884261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
17.4%
18
 
9.5%
14
 
7.4%
11
 
5.8%
10
 
5.3%
8
 
4.2%
8
 
4.2%
5
 
2.6%
5
 
2.6%
5
 
2.6%
Other values (40) 73
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157
82.6%
Space Separator 33
 
17.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
 
11.5%
14
 
8.9%
11
 
7.0%
10
 
6.4%
8
 
5.1%
8
 
5.1%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
Other values (39) 68
43.3%
Space Separator
ValueCountFrequency (%)
33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157
82.6%
Common 33
 
17.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18
 
11.5%
14
 
8.9%
11
 
7.0%
10
 
6.4%
8
 
5.1%
8
 
5.1%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
Other values (39) 68
43.3%
Common
ValueCountFrequency (%)
33
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157
82.6%
ASCII 33
 
17.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33
100.0%
Hangul
ValueCountFrequency (%)
18
 
11.5%
14
 
8.9%
11
 
7.0%
10
 
6.4%
8
 
5.1%
8
 
5.1%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
Other values (39) 68
43.3%

연령대
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
30대
11 
40대
60대
50대
20대

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40대
2nd row30대
3rd row40대
4th row50대
5th row50대

Common Values

ValueCountFrequency (%)
30대 11
36.7%
40대 8
26.7%
60대 5
16.7%
50대 3
 
10.0%
20대 3
 
10.0%

Length

2024-03-03T23:50:18.288827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-03T23:50:18.618310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30대 11
36.7%
40대 8
26.7%
60대 5
16.7%
50대 3
 
10.0%
20대 3
 
10.0%

성별
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
여성
18 
남성
12 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row여성
2nd row남성
3rd row여성
4th row남성
5th row남성

Common Values

ValueCountFrequency (%)
여성 18
60.0%
남성 12
40.0%

Length

2024-03-03T23:50:18.999267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-03T23:50:19.308960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여성 18
60.0%
남성 12
40.0%

요일
Categorical

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
Other values (2)

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
7
23.3%
6
20.0%
5
16.7%
4
13.3%
3
10.0%
3
10.0%
2
 
6.7%

Length

2024-03-03T23:50:19.643478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-03T23:50:19.978850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7
23.3%
6
20.0%
5
16.7%
4
13.3%
3
10.0%
3
10.0%
2
 
6.7%

소비시간대
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
저녁 : 18-22시
11 
오후 : 14-18시
점심 : 11-14시
심야 : 22-06시
아침 : 06-09시

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row저녁 : 18-22시
2nd row저녁 : 18-22시
3rd row점심 : 11-14시
4th row저녁 : 18-22시
5th row저녁 : 18-22시

Common Values

ValueCountFrequency (%)
저녁 : 18-22시 11
36.7%
오후 : 14-18시 5
16.7%
점심 : 11-14시 4
 
13.3%
심야 : 22-06시 4
 
13.3%
아침 : 06-09시 4
 
13.3%
오전 : 09-11시 2
 
6.7%

Length

2024-03-03T23:50:20.383128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-03T23:50:20.714365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30
33.3%
저녁 11
 
12.2%
18-22시 11
 
12.2%
오후 5
 
5.6%
14-18시 5
 
5.6%
점심 4
 
4.4%
11-14시 4
 
4.4%
심야 4
 
4.4%
22-06시 4
 
4.4%
아침 4
 
4.4%
Other values (3) 8
 
8.9%

업종_대분류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
해외
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해외 30
100.0%

Length

2024-03-03T23:50:21.106167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-03T23:50:21.413781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해외 30
100.0%

업종_중분류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
면세점
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
면세점 30
100.0%

Length

2024-03-03T23:50:21.729613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-03T23:50:22.027998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
면세점 30
100.0%

업종_소분류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
면세점
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
면세점 30
100.0%

Length

2024-03-03T23:50:22.344730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-03T23:50:22.647554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
면세점 30
100.0%

이용금액
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-03T23:50:23.384243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length7.9666667
Min length6

Characters and Unicode

Total characters239
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row180,943,000
2nd row19,973,660
3rd row2,246,000
4th row143,741,000
5th row916,280
ValueCountFrequency (%)
180,943,000 1
 
3.3%
19,973,660 1
 
3.3%
2,028,070 1
 
3.3%
648,000 1
 
3.3%
143,660,000 1
 
3.3%
1,408,160 1
 
3.3%
1,082,000 1
 
3.3%
279,300 1
 
3.3%
789,820 1
 
3.3%
4,671,000 1
 
3.3%
Other values (20) 20
66.7%
2024-03-03T23:50:24.603785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 77
32.2%
, 42
17.6%
1 19
 
7.9%
4 17
 
7.1%
8 14
 
5.9%
6 14
 
5.9%
2 14
 
5.9%
3 13
 
5.4%
7 11
 
4.6%
9 10
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 197
82.4%
Other Punctuation 42
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 77
39.1%
1 19
 
9.6%
4 17
 
8.6%
8 14
 
7.1%
6 14
 
7.1%
2 14
 
7.1%
3 13
 
6.6%
7 11
 
5.6%
9 10
 
5.1%
5 8
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 77
32.2%
, 42
17.6%
1 19
 
7.9%
4 17
 
7.1%
8 14
 
5.9%
6 14
 
5.9%
2 14
 
5.9%
3 13
 
5.4%
7 11
 
4.6%
9 10
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 77
32.2%
, 42
17.6%
1 19
 
7.9%
4 17
 
7.1%
8 14
 
5.9%
6 14
 
5.9%
2 14
 
5.9%
3 13
 
5.4%
7 11
 
4.6%
9 10
 
4.2%

이용건수
Real number (ℝ)

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2666667
Minimum2
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-03T23:50:24.980083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median6
Q38
95-th percentile25.75
Maximum45
Range43
Interquartile range (IQR)4

Descriptive statistics

Standard deviation9.3437544
Coefficient of variation (CV)1.1302929
Kurtosis10.639747
Mean8.2666667
Median Absolute Deviation (MAD)2
Skewness3.2471895
Sum248
Variance87.305747
MonotonicityNot monotonic
2024-03-03T23:50:25.327291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
8 5
16.7%
5 4
13.3%
3 4
13.3%
6 4
13.3%
2 3
10.0%
7 2
 
6.7%
4 2
 
6.7%
45 1
 
3.3%
9 1
 
3.3%
11 1
 
3.3%
Other values (3) 3
10.0%
ValueCountFrequency (%)
2 3
10.0%
3 4
13.3%
4 2
 
6.7%
5 4
13.3%
6 4
13.3%
7 2
 
6.7%
8 5
16.7%
9 1
 
3.3%
10 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
45 1
 
3.3%
37 1
 
3.3%
12 1
 
3.3%
11 1
 
3.3%
10 1
 
3.3%
9 1
 
3.3%
8 5
16.7%
7 2
 
6.7%
6 4
13.3%
5 4
13.3%

Interactions

2024-03-03T23:50:13.830431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-03T23:50:13.341124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/