Overview

Dataset statistics

Number of variables8
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory71.4 B

Variable types

Categorical5
Text1
Numeric2

Alerts

이용월 has constant value ""Constant
구분_국내외 has constant value ""Constant
구분_개인법인 has constant value ""Constant
구분_신용체크 has constant value ""Constant
시도 has constant value ""Constant
이용건수 is highly overall correlated with 이용금액High correlation
이용금액 is highly overall correlated with 이용건수High correlation
업종 has unique valuesUnique
이용건수 has unique valuesUnique
이용금액 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:00:13.185693
Analysis finished2024-04-06 08:00:16.330683
Duration3.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

이용월
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
202312
30 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202312
2nd row202312
3rd row202312
4th row202312
5th row202312

Common Values

ValueCountFrequency (%)
202312 30
100.0%

Length

2024-04-06T17:00:16.435664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:00:16.588746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202312 30
100.0%

구분_국내외
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
01.국내
30 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01.국내
2nd row01.국내
3rd row01.국내
4th row01.국내
5th row01.국내

Common Values

ValueCountFrequency (%)
01.국내 30
100.0%

Length

2024-04-06T17:00:16.747411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:00:16.904365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01.국내 30
100.0%

구분_개인법인
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
01.개인
30 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01.개인
2nd row01.개인
3rd row01.개인
4th row01.개인
5th row01.개인

Common Values

ValueCountFrequency (%)
01.개인 30
100.0%

Length

2024-04-06T17:00:17.070998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:00:17.236205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01.개인 30
100.0%

구분_신용체크
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
01.신용
30 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01.신용
2nd row01.신용
3rd row01.신용
4th row01.신용
5th row01.신용

Common Values

ValueCountFrequency (%)
01.신용 30
100.0%

Length

2024-04-06T17:00:17.397282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:00:17.542517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01.신용 30
100.0%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
강원
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원 30
100.0%

Length

2024-04-06T17:00:17.697285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:00:17.840551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원 30
100.0%

업종
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T17:00:18.100069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.1333333
Min length2

Characters and Unicode

Total characters154
Distinct characters77
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 rowLPG취급점
2nd rowPG가맹점
3rd row가방
4th row가전제품
5th row가정용연료판매
ValueCountFrequency (%)
기타 6
 
17.1%
lpg취급점 1
 
2.9%
pg가맹점 1
 
2.9%
기타용역서비스 1
 
2.9%
기타수리 1
 
2.9%
기타쇼핑점 1
 
2.9%
기타사무용품 1
 
2.9%
기타대인서비스 1
 
2.9%
기타건축자재 1
 
2.9%
전자제품 1
 
2.9%
Other values (20) 20
57.1%
2024-04-06T17:00:18.550496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 17
 
11.0%
타 13
 
8.4%
품 5
 
3.2%
5
 
3.2%
스 5
 
3.2%
비 4
 
2.6%
서 4
 
2.6%
점 4
 
2.6%
가 4
 
2.6%
용 3
 
1.9%
Other values (67) 90
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
93.5%
Space Separator 5
 
3.2%
Uppercase Letter 5
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 17
 
11.8%
타 13
 
9.0%
품 5
 
3.5%
스 5
 
3.5%
비 4
 
2.8%
서 4
 
2.8%
점 4
 
2.8%
가 4
 
2.8%
용 3
 
2.1%
골 3
 
2.1%
Other values (63) 82
56.9%
Uppercase Letter
ValueCountFrequency (%)
P 2
40.0%
G 2
40.0%
L 1
20.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
93.5%
Common 5
 
3.2%
Latin 5
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 17
 
11.8%
타 13
 
9.0%
품 5
 
3.5%
스 5
 
3.5%
비 4
 
2.8%
서 4
 
2.8%
점 4
 
2.8%
가 4
 
2.8%
용 3
 
2.1%
골 3
 
2.1%
Other values (63) 82
56.9%
Latin
ValueCountFrequency (%)
P 2
40.0%
G 2
40.0%
L 1
20.0%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
93.5%
ASCII 10
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 17
 
11.8%
타 13
 
9.0%
품 5
 
3.5%
스 5
 
3.5%
비 4
 
2.8%
서 4
 
2.8%
점 4
 
2.8%
가 4
 
2.8%
용 3
 
2.1%
골 3
 
2.1%
Other values (63) 82
56.9%
ASCII
ValueCountFrequency (%)
5
50.0%
P 2
 
20.0%
G 2
 
20.0%
L 1
 
10.0%

이용건수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10982.767
Minimum1
Maximum80834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T17:00:18.755556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.6
Q1379.5
median2903
Q316050.75
95-th percentile38906.05
Maximum80834
Range80833
Interquartile range (IQR)15671.25

Descriptive statistics

Standard deviation17487.418
Coefficient of variation (CV)1.5922599
Kurtosis8.4581337
Mean10982.767
Median Absolute Deviation (MAD)2876
Skewness2.6629695
Sum329483
Variance3.058098 × 108
MonotonicityNot monotonic
2024-04-06T17:00:18.969083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
23033 1
 
3.3%
16932 1
 
3.3%
1421 1
 
3.3%
6250 1
 
3.3%
13407 1
 
3.3%
80834 1
 
3.3%
1300 1
 
3.3%
153 1
 
3.3%
28054 1
 
3.3%
452 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
23 1
3.3%
31 1
3.3%
105 1
3.3%
149 1
3.3%
153 1
3.3%
187 1
3.3%
358 1
3.3%
444 1
3.3%
452 1
3.3%
ValueCountFrequency (%)
80834 1
3.3%
47785 1
3.3%
28054 1
3.3%
25545 1
3.3%
23968 1
3.3%
23033 1
3.3%
16954 1
3.3%
16932 1
3.3%
13407 1
3.3%
11229 1
3.3%

이용금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6026066 × 108
Minimum682000
Maximum1.883914 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T17:00:19.171881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum682000
5-th percentile2353516.8
Q126101184
median3.6878057 × 108
Q38.6464462 × 108
95-th percentile1.7515584 × 109
Maximum1.883914 × 109
Range1.883232 × 109
Interquartile range (IQR)8.3854343 × 108

Descriptive statistics

Standard deviation6.2565813 × 108
Coefficient of variation (CV)1.1167269
Kurtosis-0.53779215
Mean5.6026066 × 108
Median Absolute Deviation (MAD)3.5570884 × 108
Skewness0.88861994
Sum1.680782 × 1010
Variance3.914481 × 1017
MonotonicityNot monotonic
2024-04-06T17:00:19.381934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1413253495 1
 
3.3%
1778652115 1
 
3.3%
104965110 1
 
3.3%
870474302 1
 
3.3%
651139058 1
 
3.3%
1883913961 1
 
3.3%
9754980 1
 
3.3%
23304800 1
 
3.3%
1718443876 1
 
3.3%
35696495 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
682000 1
3.3%
704800 1
3.3%
4368615 1
3.3%
7422350 1
3.3%
9754980 1
3.3%
18667200 1
3.3%
21128043 1
3.3%
23304800 1
3.3%
34490338 1
3.3%
35696495 1
3.3%
ValueCountFrequency (%)
1883913961 1
3.3%
1778652115 1
3.3%
1718443876 1
3.3%
1482548810 1
3.3%
1453520835 1
3.3%
1413253495 1
3.3%
1009813161 1
3.3%
870474302 1
3.3%
847155557 1
3.3%
735615812 1
3.3%

Interactions

2024-04-06T17:00:15.685580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:00:15.255000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:00:15.859318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:00:15.507643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:00:19.525163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종이용건수이용금액
업종1.0001.0001.000
이용건수1.0001.0000.700
이용금액1.0000.7001.000
2024-04-06T17:00:19.666644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용건수이용금액
이용건수1.0000.931
이용금액0.9311.000

Missing values

2024-04-06T17:00:16.050132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:00:16.257240image/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

이용월구분_국내외구분_개인법인구분_신용체크시도업종이용건수이용금액
020231201.국내01.개인01.신용강원LPG취급점230331413253495
120231201.국내01.개인01.신용강원PG가맹점10534490338
220231201.국내01.개인01.신용강원가방35818667200
320231201.국내01.개인01.신용강원가전제품2286721172666
420231201.국내01.개인01.신용강원가정용연료판매1485447314148
520231201.국내01.개인01.신용강원건강진단3520156260640
620231201.국내01.개인01.신용강원견인서비스237422350
720231201.국내01.개인01.신용강원고속버스31704800
820231201.국내01.개인01.신용강원골동품점1494368615
920231201.국내01.개인01.신용강원골프연습장11229436467860
이용월구분_국내외구분_개인법인구분_신용체크시도업종이용건수이용금액
2020231201.국내01.개인01.신용강원기타 숙박업169541009813161
2120231201.국내01.개인01.신용강원기타 음료식품477851453520835
2220231201.국내01.개인01.신용강원기타 전자제품45235696495
2320231201.국내01.개인01.신용강원기타건축자재280541718443876
2420231201.국내01.개인01.신용강원기타대인서비스15323304800
2520231201.국내01.개인01.신용강원기타사무용품13009754980
2620231201.국내01.개인01.신용강원기타쇼핑점808341883913961
2720231201.국내01.개인01.신용강원기타수리13407651139058
2820231201.국내01.개인01.신용강원기타용역서비스6250870474302
2920231201.국내01.개인01.신용강원기타운송수단1421104965110