Overview

Dataset statistics

Number of variables5
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory46.3 B

Variable types

Categorical3
Numeric2

Dataset

Description1372 소비자상담센터에 접수된 소비자 상담 데이터 기반의 연령대별 상위 5개 상담 다발 품목 현황 관련 데이터 입니다.
Author한국소비자원
URLhttps://www.data.go.kr/data/15120078/fileData.do

Reproduction

Analysis started2024-04-06 08:09:14.609442
Analysis finished2024-04-06 08:09:16.001758
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연령_그룹
Categorical

Distinct8
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
10대 이하
5 
20대
5 
30대
5 
40대
5 
50대
5 
Other values (3)
15 

Length

Max length6
Median length3
Mean length3.75
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10대 이하
2nd row10대 이하
3rd row10대 이하
4th row10대 이하
5th row10대 이하

Common Values

ValueCountFrequency (%)
10대 이하 5
12.5%
20대 5
12.5%
30대 5
12.5%
40대 5
12.5%
50대 5
12.5%
60대 5
12.5%
70대 5
12.5%
80대 이상 5
12.5%

Length

2024-04-06T17:09:16.132846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:09:16.381877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10대 5
10.0%
이하 5
10.0%
20대 5
10.0%
30대 5
10.0%
40대 5
10.0%
50대 5
10.0%
60대 5
10.0%
70대 5
10.0%
80대 5
10.0%
이상 5
10.0%

순위
Categorical

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
1
8 
2
8 
3
8 
4
8 
5
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5

Common Values

ValueCountFrequency (%)
1 8
20.0%
2 8
20.0%
3 8
20.0%
4 8
20.0%
5 8
20.0%

Length

2024-04-06T17:09:16.688168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:09:16.979206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8
20.0%
2 8
20.0%
3 8
20.0%
4 8
20.0%
5 8
20.0%

품목명(소)
Categorical

Distinct18
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
이동전화서비스
5 
항공여객운송서비스
4 
각종건강식품
4 
신발·운동화
3 
숙녀화(구두·부츠 등)
3 
Other values (13)
21 

Length

Max length12
Median length7
Mean length6.1
Min length2

Unique

Unique7 ?
Unique (%)17.5%

Sample

1st row헬스장
2nd row헤드폰·이어폰
3rd row치과
4th row의류·섬유
5th row성형외과

Common Values

ValueCountFrequency (%)
이동전화서비스 5
12.5%
항공여객운송서비스 4
10.0%
각종건강식품 4
10.0%
신발·운동화 3
 
7.5%
숙녀화(구두·부츠 등) 3
 
7.5%
헬스장 3
 
7.5%
치과 3
 
7.5%
유사투자자문 2
 
5.0%
국외여행 2
 
5.0%
헤드폰·이어폰 2
 
5.0%
Other values (8) 9
22.5%

Length

2024-04-06T17:09:17.270680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이동전화서비스 5
11.6%
각종건강식품 4
 
9.3%
항공여객운송서비스 4
 
9.3%
신발·운동화 3
 
7.0%
숙녀화(구두·부츠 3
 
7.0%
등 3
 
7.0%
헬스장 3
 
7.0%
치과 3
 
7.0%
헤드폰·이어폰 2
 
4.7%
비타민제 2
 
4.7%
Other values (9) 11
25.6%

상담건수
Real number (ℝ)

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.925
Minimum3
Maximum495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-06T17:09:17.504489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.9
Q120.25
median107
Q3187.25
95-th percentile388.25
Maximum495
Range492
Interquartile range (IQR)167

Descriptive statistics

Standard deviation122.16684
Coefficient of variation (CV)0.95498803
Kurtosis1.2449534
Mean127.925
Median Absolute Deviation (MAD)87.5
Skewness1.2220427
Sum5117
Variance14924.738
MonotonicityNot monotonic
2024-04-06T17:09:17.798851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
8 2
 
5.0%
18 2
 
5.0%
92 2
 
5.0%
5 2
 
5.0%
3 2
 
5.0%
11 1
 
2.5%
28 1
 
2.5%
7 1
 
2.5%
21 1
 
2.5%
122 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
3 2
5.0%
5 2
5.0%
7 1
2.5%
8 2
5.0%
11 1
2.5%
18 2
5.0%
21 1
2.5%
28 1
2.5%
30 1
2.5%
51 1
2.5%
ValueCountFrequency (%)
495 1
2.5%
412 1
2.5%
387 1
2.5%
278 1
2.5%
277 1
2.5%
261 1
2.5%
256 1
2.5%
232 1
2.5%
227 1
2.5%
206 1
2.5%

상담비율
Real number (ℝ)

Distinct27
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.435
Minimum1.4
Maximum9.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-06T17:09:18.110989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.4
5-th percentile1.595
Q11.9
median2.55
Q33.925
95-th percentile8.715
Maximum9.9
Range8.5
Interquartile range (IQR)2.025

Descriptive statistics

Standard deviation2.1488876
Coefficient of variation (CV)0.62558591
Kurtosis2.2304028
Mean3.435
Median Absolute Deviation (MAD)0.8
Skewness1.6676735
Sum137.4
Variance4.6177179
MonotonicityNot monotonic
2024-04-06T17:09:18.365729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1.8 4
 
10.0%
3.3 2
 
5.0%
3.7 2
 
5.0%
2.8 2
 
5.0%
2.4 2
 
5.0%
1.7 2
 
5.0%
1.9 2
 
5.0%
5.4 2
 
5.0%
2.2 2
 
5.0%
4.0 2
 
5.0%
Other values (17) 18
45.0%
ValueCountFrequency (%)
1.4 1
 
2.5%
1.5 1
 
2.5%
1.6 1
 
2.5%
1.7 2
5.0%
1.8 4
10.0%
1.9 2
5.0%
2.0 1
 
2.5%
2.1 1
 
2.5%
2.2 2
5.0%
2.3 1
 
2.5%
ValueCountFrequency (%)
9.9 1
2.5%
9.0 1
2.5%
8.7 1
2.5%
7.2 1
2.5%
6.4 1
2.5%
5.4 2
5.0%
4.7 1
2.5%
4.0 2
5.0%
3.9 1
2.5%
3.7 2
5.0%

Interactions

2024-04-06T17:09:15.370360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:09:15.034509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:09:15.534522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:09:15.197983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:09:18.576538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연령_그룹순위품목명(소)상담건수상담비율
연령_그룹1.0000.0000.0000.7600.491
순위0.0001.0000.7130.0000.290
품목명(소)0.0000.7131.0000.0000.000
상담건수0.7600.0000.0001.0000.423
상담비율0.4910.2900.0000.4231.000
2024-04-06T17:09:18.791994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연령_그룹품목명(소)순위
연령_그룹1.0000.0000.000
품목명(소)0.0001.0000.355
순위0.0000.3551.000
2024-04-06T17:09:19.068752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상담건수상담비율연령_그룹순위품목명(소)
상담건수1.000-0.0690.4930.0000.000
상담비율-0.0691.0000.2510.1430.000
연령_그룹0.4930.2511.0000.0000.000
순위0.0000.1430.0001.0000.355
품목명(소)0.0000.0000.0000.3551.000

Missing values

2024-04-06T17:09:15.736413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:09:15.926996image/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

연령_그룹순위품목명(소)상담건수상담비율
010대 이하1헬스장88.7
110대 이하2헤드폰·이어폰55.4
210대 이하3치과55.4
310대 이하4의류·섬유33.3
410대 이하5성형외과33.3
520대1헬스장2787.2
620대2항공여객운송서비스1423.7
720대3숙녀화(구두·부츠 등)1413.7
820대4신발·운동화1102.8
920대5헤드폰·이어폰922.4
연령_그룹순위품목명(소)상담건수상담비율
3070대1각종건강식품1159.0
3170대2이동전화서비스514.0
3270대3치과302.3
3370대4초고속인터넷211.6
3470대5유사투자자문181.4
3580대 이상1각종건강식품289.9
3680대 이상2치과186.4
3780대 이상3이동전화서비스113.9
3880대 이상4각종병·의원서비스82.8
3980대 이상5유선방송72.5