Overview

Dataset statistics

Number of variables12
Number of observations99
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory102.3 B

Variable types

Categorical9
Numeric3

Dataset

DescriptionSample
Author(주)제로투원파트너스
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=ZTO010BSICGIAIRCLEA

Alerts

MT has constant value ""Constant
201806 has constant value ""Constant
공기청정기 has constant value ""Constant
전체 has constant value ""Constant
전체.1 has constant value ""Constant
다이슨 has constant value ""Constant
40.1 is highly overall correlated with 2High correlation
2 is highly overall correlated with 40.1High correlation

Reproduction

Analysis started2023-12-10 06:43:59.548168
Analysis finished2023-12-10 06:44:01.589699
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

MT
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
MT
99 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
MT 99
100.0%

Length

2023-12-10T15:44:01.700733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:44:01.866833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mt 99
100.0%

201806
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
201806
99 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row201806
2nd row201806
3rd row201806
4th row201806
5th row201806

Common Values

ValueCountFrequency (%)
201806 99
100.0%

Length

2023-12-10T15:44:02.021320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:44:02.147119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201806 99
100.0%

149
Real number (ℝ)

Distinct64
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.56566
Minimum27
Maximum295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-10T15:44:02.317463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile54.6
Q173
median100
Q3133
95-th percentile212.4
Maximum295
Range268
Interquartile range (IQR)60

Descriptive statistics

Standard deviation49.141022
Coefficient of variation (CV)0.44445105
Kurtosis1.9225297
Mean110.56566
Median Absolute Deviation (MAD)30
Skewness1.2470866
Sum10946
Variance2414.84
MonotonicityNot monotonic
2023-12-10T15:44:02.563032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 19
 
19.2%
73 3
 
3.0%
131 3
 
3.0%
69 3
 
3.0%
134 3
 
3.0%
68 3
 
3.0%
71 2
 
2.0%
98 2
 
2.0%
61 2
 
2.0%
70 2
 
2.0%
Other values (54) 57
57.6%
ValueCountFrequency (%)
27 1
1.0%
34 1
1.0%
36 1
1.0%
45 1
1.0%
51 1
1.0%
55 1
1.0%
56 1
1.0%
60 1
1.0%
61 2
2.0%
64 2
2.0%
ValueCountFrequency (%)
295 1
1.0%
246 1
1.0%
245 1
1.0%
226 1
1.0%
225 1
1.0%
211 1
1.0%
196 1
1.0%
189 1
1.0%
175 1
1.0%
171 1
1.0%

40
Real number (ℝ)

Distinct49
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.89899
Minimum5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-10T15:44:02.795716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile16.9
Q138.5
median67
Q3100
95-th percentile100
Maximum100
Range95
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation31.29142
Coefficient of variation (CV)0.46774129
Kurtosis-1.4659591
Mean66.89899
Median Absolute Deviation (MAD)33
Skewness-0.25882307
Sum6623
Variance979.15296
MonotonicityNot monotonic
2023-12-10T15:44:03.032496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
100 35
35.4%
30 4
 
4.0%
37 3
 
3.0%
46 3
 
3.0%
92 2
 
2.0%
23 2
 
2.0%
43 2
 
2.0%
55 2
 
2.0%
85 2
 
2.0%
65 2
 
2.0%
Other values (39) 42
42.4%
ValueCountFrequency (%)
5 1
1.0%
9 1
1.0%
13 1
1.0%
15 1
1.0%
16 1
1.0%
17 1
1.0%
21 1
1.0%
23 2
2.0%
24 1
1.0%
25 1
1.0%
ValueCountFrequency (%)
100 35
35.4%
98 1
 
1.0%
95 1
 
1.0%
93 1
 
1.0%
92 2
 
2.0%
90 1
 
1.0%
88 1
 
1.0%
85 2
 
2.0%
77 1
 
1.0%
76 2
 
2.0%

공기청정기
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
공기청정기
99 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공기청정기 99
100.0%

Length

2023-12-10T15:44:03.227960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:44:03.351729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공기청정기 99
100.0%

전체
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
전체
99 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체 99
100.0%

Length

2023-12-10T15:44:03.491526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:44:03.623870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 99
100.0%

전체.1
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
전체
99 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체 99
100.0%

Length

2023-12-10T15:44:03.793764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:44:03.952404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 99
100.0%

2
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2
70 
1
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 70
70.7%
1 29
29.3%

Length

2023-12-10T15:44:04.112130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:44:04.241428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 70
70.7%
1 29
29.3%

40.1
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.747475
Minimum20
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-10T15:44:04.365990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile29
Q140
median40
Q350
95-th percentile61
Maximum70
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.723292
Coefficient of variation (CV)0.26198779
Kurtosis-0.092873547
Mean44.747475
Median Absolute Deviation (MAD)10
Skewness0.12009854
Sum4430
Variance137.43558
MonotonicityNot monotonic
2023-12-10T15:44:04.527184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
40 39
39.4%
50 25
25.3%
60 14
 
14.1%
30 11
 
11.1%
70 5
 
5.1%
20 5
 
5.1%
ValueCountFrequency (%)
20 5
 
5.1%
30 11
 
11.1%
40 39
39.4%
50 25
25.3%
60 14
 
14.1%
70 5
 
5.1%
ValueCountFrequency (%)
70 5
 
5.1%
60 14
 
14.1%
50 25
25.3%
40 39
39.4%
30 11
 
11.1%
20 5
 
5.1%

전체.2
Categorical

Distinct16
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size924.0 B
서울특별시
26 
경기도
19 
대구광역시
6 
울산광역시
6 
강원도
6 
Other values (11)
36 

Length

Max length7
Median length5
Mean length4.2626263
Min length2

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row서울특별시
2nd row서울특별시
3rd row대구광역시
4th row인천광역시
5th row울산광역시

Common Values

ValueCountFrequency (%)
서울특별시 26
26.3%
경기도 19
19.2%
대구광역시 6
 
6.1%
울산광역시 6
 
6.1%
강원도 6
 
6.1%
경상남도 6
 
6.1%
전체 6
 
6.1%
전라북도 5
 
5.1%
인천광역시 4
 
4.0%
제주특별자치도 4
 
4.0%
Other values (6) 11
11.1%

Length

2023-12-10T15:44:04.735356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 26
26.3%
경기도 19
19.2%
대구광역시 6
 
6.1%
울산광역시 6
 
6.1%
강원도 6
 
6.1%
경상남도 6
 
6.1%
전체 6
 
6.1%
전라북도 5
 
5.1%
인천광역시 4
 
4.0%
제주특별자치도 4
 
4.0%
Other values (6) 11
11.1%

전체.3
Categorical

Distinct33
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size924.0 B
전체
29 
강남구
7 
광명시
6 
송파구
 
4
원주시
 
4
Other values (28)
49 

Length

Max length3
Median length3
Mean length2.6464646
Min length2

Unique

Unique12 ?
Unique (%)12.1%

Sample

1st row동작구
2nd row강남구
3rd row수성구
4th row서구
5th row전체

Common Values

ValueCountFrequency (%)
전체 29
29.3%
강남구 7
 
7.1%
광명시 6
 
6.1%
송파구 4
 
4.0%
원주시 4
 
4.0%
중구 4
 
4.0%
울주군 3
 
3.0%
광주시 3
 
3.0%
서초구 3
 
3.0%
창원시 2
 
2.0%
Other values (23) 34
34.3%

Length

2023-12-10T15:44:04.921934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전체 29
29.3%
강남구 7
 
7.1%
광명시 6
 
6.1%
송파구 4
 
4.0%
원주시 4
 
4.0%
중구 4
 
4.0%
울주군 3
 
3.0%
광주시 3
 
3.0%
서초구 3
 
3.0%
제주시 2
 
2.0%
Other values (23) 34
34.3%

다이슨
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
다이슨
99 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
다이슨 99
100.0%

Length

2023-12-10T15:44:05.121727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:44:05.265437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다이슨 99
100.0%

Interactions

2023-12-10T15:44:00.777748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:43:59.958968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:44:00.356792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:44:00.904494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:44:00.081454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:44:00.501655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:44:01.029588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:44:00.215214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:44:00.665003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:44:05.358812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
14940240.1전체.2전체.3
1491.0000.0000.0000.0000.2900.000
400.0001.0000.0000.2170.6030.000
20.0000.0001.0000.9180.2450.000
40.10.0000.2170.9181.0000.0000.000
전체.20.2900.6030.2450.0001.0000.920
전체.30.0000.0000.0000.0000.9201.000
2023-12-10T15:44:05.523283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전체.32전체.2
전체.31.0000.0000.496
20.0001.0000.174
전체.20.4960.1741.000
2023-12-10T15:44:05.663991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1494040.12전체.2전체.3
1491.000-0.0820.0310.0000.1060.000
40-0.0821.0000.2580.0000.2640.000
40.10.0310.2581.0000.7290.0000.000
20.0000.0000.7291.0000.1740.000
전체.20.1060.2640.0000.1741.0000.496
전체.30.0000.0000.0000.0000.4961.000

Missing values

2023-12-10T15:44:01.221266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:44:01.500165image/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

MT20180614940공기청정기전체전체.1240.1전체.2전체.3다이슨
0MT20180619692공기청정기전체전체240서울특별시동작구다이슨
1MT20180612490공기청정기전체전체240서울특별시강남구다이슨
2MT201806226100공기청정기전체전체240대구광역시수성구다이슨
3MT20180610026공기청정기전체전체240인천광역시서구다이슨
4MT2018063452공기청정기전체전체240울산광역시전체다이슨
5MT2018066177공기청정기전체전체240울산광역시울주군다이슨
6MT20180670100공기청정기전체전체240경기도광명시다이슨
7MT2018066946공기청정기전체전체240강원도원주시다이슨
8MT201806100100공기청정기전체전체240강원도속초시다이슨
9MT20180610650공기청정기전체전체240충청남도천안시다이슨
MT20180614940공기청정기전체전체.1240.1전체.2전체.3다이슨
89MT201806100100공기청정기전체전체260서울특별시중구다이슨
90MT20180673100공기청정기전체전체260서울특별시송파구다이슨
91MT20180616265공기청정기전체전체260부산광역시전체다이슨
92MT201806100100공기청정기전체전체260부산광역시중구다이슨
93MT2018066858공기청정기전체전체260대구광역시전체다이슨
94MT20180668100공기청정기전체전체260대구광역시달서구다이슨
95MT20180617540공기청정기전체전체260인천광역시전체다이슨
96MT2018069916공기청정기전체전체260경기도전체다이슨
97MT2018066467공기청정기전체전체270서울특별시송파구다이슨
98MT201806100100공기청정기전체전체270대구광역시전체다이슨