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

Categorical10
Numeric2

Dataset

DescriptionSample
Author(주)제로투원파트너스
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=ZTO010BSICGIPRINTER

Alerts

MT has constant value ""Constant
201801 has constant value ""Constant
복합기/프린터 has constant value ""Constant
전체 has constant value ""Constant
전체.1 has constant value ""Constant
삼성전자 has constant value ""Constant
60 is highly overall correlated with 2High correlation
2 is highly overall correlated with 60High correlation

Reproduction

Analysis started2023-12-10 06:37:19.869062
Analysis finished2023-12-10 06:37:23.642038
Duration3.77 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

2023-12-10T15:37:23.770609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:23.918840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mt 99
100.0%

201801
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
201801
99 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row201801
2nd row201801
3rd row201801
4th row201801
5th row201801

Common Values

ValueCountFrequency (%)
201801 99
100.0%

Length

2023-12-10T15:37:24.150502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:24.295281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201801 99
100.0%

82
Real number (ℝ)

Distinct68
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.92929
Minimum17
Maximum322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-10T15:37:24.638479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile28.9
Q163
median100
Q3151
95-th percentile198.3
Maximum322
Range305
Interquartile range (IQR)88

Descriptive statistics

Standard deviation60.034897
Coefficient of variation (CV)0.54612283
Kurtosis0.68837803
Mean109.92929
Median Absolute Deviation (MAD)48
Skewness0.72162422
Sum10883
Variance3604.1888
MonotonicityNot monotonic
2023-12-10T15:37:24.891534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 12
 
12.1%
198 4
 
4.0%
30 3
 
3.0%
150 2
 
2.0%
32 2
 
2.0%
88 2
 
2.0%
152 2
 
2.0%
71 2
 
2.0%
184 2
 
2.0%
93 2
 
2.0%
Other values (58) 66
66.7%
ValueCountFrequency (%)
17 1
 
1.0%
21 1
 
1.0%
24 1
 
1.0%
25 1
 
1.0%
28 1
 
1.0%
29 1
 
1.0%
30 3
3.0%
32 2
2.0%
34 1
 
1.0%
40 1
 
1.0%
ValueCountFrequency (%)
322 1
 
1.0%
276 1
 
1.0%
240 1
 
1.0%
213 1
 
1.0%
201 1
 
1.0%
198 4
4.0%
197 1
 
1.0%
190 1
 
1.0%
188 1
 
1.0%
184 2
2.0%

100
Real number (ℝ)

Distinct43
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.868687
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-10T15:37:25.140742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile21
Q145
median72
Q3100
95-th percentile100
Maximum100
Range90
Interquartile range (IQR)55

Descriptive statistics

Standard deviation29.2835
Coefficient of variation (CV)0.41912195
Kurtosis-1.4159829
Mean69.868687
Median Absolute Deviation (MAD)28
Skewness-0.28665967
Sum6917
Variance857.5234
MonotonicityNot monotonic
2023-12-10T15:37:25.346025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
100 41
41.4%
54 3
 
3.0%
46 3
 
3.0%
48 3
 
3.0%
28 3
 
3.0%
44 2
 
2.0%
51 2
 
2.0%
21 2
 
2.0%
42 2
 
2.0%
62 2
 
2.0%
Other values (33) 36
36.4%
ValueCountFrequency (%)
10 1
 
1.0%
16 1
 
1.0%
18 1
 
1.0%
20 1
 
1.0%
21 2
2.0%
26 1
 
1.0%
27 1
 
1.0%
28 3
3.0%
31 1
 
1.0%
33 2
2.0%
ValueCountFrequency (%)
100 41
41.4%
91 1
 
1.0%
82 1
 
1.0%
81 1
 
1.0%
80 1
 
1.0%
79 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%

복합기/프린터
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
복합기/프린터
99 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row복합기/프린터
2nd row복합기/프린터
3rd row복합기/프린터
4th row복합기/프린터
5th row복합기/프린터

Common Values

ValueCountFrequency (%)
복합기/프린터 99
100.0%

Length

2023-12-10T15:37:25.620573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:25.767439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합기/프린터 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

2023-12-10T15:37:25.932950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:26.099077image/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

2023-12-10T15:37:26.254230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:26.407203image/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
1
59 
2
40 

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 (%)
1 59
59.6%
2 40
40.4%

Length

2023-12-10T15:37:26.588074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:26.735599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 59
59.6%
2 40
40.4%

60
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
60
31 
20
30 
30
27 
70
9 
40
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60
2nd row60
3rd row60
4th row60
5th row60

Common Values

ValueCountFrequency (%)
60 31
31.3%
20 30
30.3%
30 27
27.3%
70 9
 
9.1%
40 2
 
2.0%

Length

2023-12-10T15:37:26.945985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:27.172592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 31
31.3%
20 30
30.3%
30 27
27.3%
70 9
 
9.1%
40 2
 
2.0%

서울특별시
Categorical

Distinct16
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size924.0 B
경기도
19 
서울특별시
14 
경상남도
11 
부산광역시
7 
대구광역시
7 
Other values (11)
41 

Length

Max length7
Median length5
Mean length4.2121212
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row서울특별시
2nd row서울특별시
3rd row서울특별시
4th row부산광역시
5th row부산광역시

Common Values

ValueCountFrequency (%)
경기도 19
19.2%
서울특별시 14
14.1%
경상남도 11
11.1%
부산광역시 7
 
7.1%
대구광역시 7
 
7.1%
인천광역시 7
 
7.1%
전라북도 7
 
7.1%
전라남도 5
 
5.1%
강원도 4
 
4.0%
전체 4
 
4.0%
Other values (6) 14
14.1%

Length

2023-12-10T15:37:27.365224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 19
19.2%
서울특별시 14
14.1%
경상남도 11
11.1%
부산광역시 7
 
7.1%
대구광역시 7
 
7.1%
인천광역시 7
 
7.1%
전라북도 7
 
7.1%
전라남도 5
 
5.1%
강원도 4
 
4.0%
전체 4
 
4.0%
Other values (6) 14
14.1%

중구
Categorical

Distinct45
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size924.0 B
전체
30 
중구
6 
북구
 
3
양산시
 
3
김해시
 
2
Other values (40)
55 

Length

Max length4
Median length3
Mean length2.6464646
Min length2

Unique

Unique25 ?
Unique (%)25.3%

Sample

1st row용산구
2nd row마포구
3rd row송파구
4th row전체
5th row중구

Common Values

ValueCountFrequency (%)
전체 30
30.3%
중구 6
 
6.1%
북구 3
 
3.0%
양산시 3
 
3.0%
김해시 2
 
2.0%
송파구 2
 
2.0%
연수구 2
 
2.0%
의정부시 2
 
2.0%
파주시 2
 
2.0%
도봉구 2
 
2.0%
Other values (35) 45
45.5%

Length

2023-12-10T15:37:27.586862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전체 30
30.3%
중구 6
 
6.1%
북구 3
 
3.0%
양산시 3
 
3.0%
성북구 2
 
2.0%
창원시 2
 
2.0%
마포구 2
 
2.0%
달서구 2
 
2.0%
남양주시 2
 
2.0%
제주시 2
 
2.0%
Other values (35) 45
45.5%

삼성전자
Categorical

CONSTANT 

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

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
삼성전자 99
100.0%

Length

2023-12-10T15:37:27.814654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:28.003315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
삼성전자 99
100.0%

Interactions

2023-12-10T15:37:22.832452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:37:22.326164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:37:22.969767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:37:22.686387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:37:28.092791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
82100260서울특별시중구
821.0000.7370.1450.0000.0000.000
1000.7371.0000.3710.0000.0000.000
20.1450.3711.0001.0000.0000.000
600.0000.0001.0001.0000.0000.000
서울특별시0.0000.0000.0000.0001.0000.921
중구0.0000.0000.0000.0000.9211.000
2023-12-10T15:37:28.305486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서울특별시602중구
서울특별시1.0000.0000.0000.440
600.0001.0000.9840.000
20.0000.9841.0000.000
중구0.4400.0000.0001.000
2023-12-10T15:37:28.456529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
82100260서울특별시중구
821.0000.0480.1020.0000.0000.000
1000.0481.0000.2710.0000.0000.000
20.1020.2711.0000.9840.0000.000
600.0000.0000.9841.0000.0000.000
서울특별시0.0000.0000.0000.0001.0000.440
중구0.0000.0000.0000.0000.4401.000

Missing values

2023-12-10T15:37:23.198913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:37:23.497992image/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

MT20180182100복합기/프린터전체전체.1260서울특별시중구삼성전자
0MT20180129100복합기/프린터전체전체260서울특별시용산구삼성전자
1MT20180130100복합기/프린터전체전체260서울특별시마포구삼성전자
2MT2018011726복합기/프린터전체전체260서울특별시송파구삼성전자
3MT20180121391복합기/프린터전체전체260부산광역시전체삼성전자
4MT201801100100복합기/프린터전체전체260부산광역시중구삼성전자
5MT201801100100복합기/프린터전체전체260부산광역시동래구삼성전자
6MT2018013045복합기/프린터전체전체260대구광역시전체삼성전자
7MT2018015438복합기/프린터전체전체260인천광역시전체삼성전자
8MT2018015148복합기/프린터전체전체260인천광역시연수구삼성전자
9MT20180110728복합기/프린터전체전체260경기도전체삼성전자
MT20180182100복합기/프린터전체전체.1260서울특별시중구삼성전자
89MT2018017066복합기/프린터전체전체120경기도화성시삼성전자
90MT201801146100복합기/프린터전체전체120경기도양평군삼성전자
91MT20180190100복합기/프린터전체전체120충청남도논산시삼성전자
92MT20180111967복합기/프린터전체전체120전라북도전주시삼성전자
93MT20180110533복합기/프린터전체전체120경상북도포항시삼성전자
94MT20180127651복합기/프린터전체전체120경상남도전체삼성전자
95MT2018018816복합기/프린터전체전체120경상남도창원시삼성전자
96MT20180119873복합기/프린터전체전체120제주특별자치도전체삼성전자
97MT20180124079복합기/프린터전체전체120제주특별자치도제주시삼성전자
98MT20180115544복합기/프린터전체전체130전체전체삼성전자