Overview

Dataset statistics

Number of variables26
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory236.7 B

Variable types

Text1
Numeric11
Categorical14

Dataset

Description부산광역시남구이륜차등록현황_20220321
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15023019

Alerts

금월 전입 경형 has constant value ""Constant
금월 전출 경형 has constant value ""Constant
금월 전출 소형 has constant value ""Constant
금월 전출 중형 has constant value ""Constant
금월 신규 경형 is highly imbalanced (57.0%)Imbalance
금월 신규 소형 is highly imbalanced (58.6%)Imbalance
금월 전입 소형 is highly imbalanced (81.7%)Imbalance
금월 전입 중형 is highly imbalanced (69.1%)Imbalance
금월 전입 대형 is highly imbalanced (58.6%)Imbalance
금월 전출 계 is highly imbalanced (69.0%)Imbalance
금월 전출 대형 is highly imbalanced (69.0%)Imbalance
행정동명 용도_규모 has unique valuesUnique
금월 신규 계 has 19 (52.8%) zerosZeros
금월 신규 중형 has 19 (52.8%) zerosZeros
금월 신규 대형 has 19 (52.8%) zerosZeros
금월 폐지 계 has 19 (52.8%) zerosZeros
금월 폐지 중형 has 19 (52.8%) zerosZeros
금월 폐지 대형 has 20 (55.6%) zerosZeros
금월 누적 계 has 12 (33.3%) zerosZeros
금월 누적 경형 has 18 (50.0%) zerosZeros
금월 누적 소형 has 16 (44.4%) zerosZeros
금월 누적 중형 has 13 (36.1%) zerosZeros
금월 누적 대형 has 19 (52.8%) zerosZeros

Reproduction

Analysis started2023-12-10 16:18:12.563998
Analysis finished2023-12-10 16:18:12.855306
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동명 용도_규모
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-11T01:18:12.993231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7.5
Mean length7.3888889
Min length6

Characters and Unicode

Total characters266
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row감만1동 관용
2nd row감만1동 자가용
3rd row감만2동 관용
4th row감만2동 자가용
5th row대연1동 관용
ValueCountFrequency (%)
자가용 18
25.0%
관용 18
25.0%
감만1동 2
 
2.8%
문현3동 2
 
2.8%
용호4동 2
 
2.8%
용호3동 2
 
2.8%
우암동 2
 
2.8%
용호1동 2
 
2.8%
용당동 2
 
2.8%
문현4동 2
 
2.8%
Other values (10) 20
27.8%
2023-12-11T01:18:13.429883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 46
17.3%
동 36
13.5%
36
13.5%
관 18
 
6.8%
자 18
 
6.8%
가 18
 
6.8%
1 10
 
3.8%
대 10
 
3.8%
연 10
 
3.8%
호 8
 
3.0%
Other values (12) 56
21.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
74.4%
Space Separator 36
 
13.5%
Decimal Number 32
 
12.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 46
23.2%
동 36
18.2%
관 18
 
9.1%
자 18
 
9.1%
가 18
 
9.1%
대 10
 
5.1%
연 10
 
5.1%
호 8
 
4.0%
문 8
 
4.0%
현 8
 
4.0%
Other values (5) 18
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 10
31.2%
4 6
18.8%
2 6
18.8%
3 6
18.8%
6 2
 
6.2%
5 2
 
6.2%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
74.4%
Common 68
 
25.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 46
23.2%
동 36
18.2%
관 18
 
9.1%
자 18
 
9.1%
가 18
 
9.1%
대 10
 
5.1%
연 10
 
5.1%
호 8
 
4.0%
문 8
 
4.0%
현 8
 
4.0%
Other values (5) 18
 
9.1%
Common
ValueCountFrequency (%)
36
52.9%
1 10
 
14.7%
4 6
 
8.8%
2 6
 
8.8%
3 6
 
8.8%
6 2
 
2.9%
5 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
74.4%
ASCII 68
 
25.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 46
23.2%
동 36
18.2%
관 18
 
9.1%
자 18
 
9.1%
가 18
 
9.1%
대 10
 
5.1%
연 10
 
5.1%
호 8
 
4.0%
문 8
 
4.0%
현 8
 
4.0%
Other values (5) 18
 
9.1%
ASCII
ValueCountFrequency (%)
36
52.9%
1 10
 
14.7%
4 6
 
8.8%
2 6
 
8.8%
3 6
 
8.8%
6 2
 
2.9%
5 2
 
2.9%

금월 신규 계
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6111111
Minimum0
Maximum31
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:13.612340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38.25
95-th percentile24.25
Maximum31
Range31
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation8.1320452
Coefficient of variation (CV)1.4492754
Kurtosis2.3230935
Mean5.6111111
Median Absolute Deviation (MAD)0
Skewness1.6660534
Sum202
Variance66.130159
MonotonicityNot monotonic
2023-12-11T01:18:13.762885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 19
52.8%
13 2
 
5.6%
6 2
 
5.6%
8 2
 
5.6%
7 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
12 1
 
2.8%
10 1
 
2.8%
18 1
 
2.8%
Other values (5) 5
 
13.9%
ValueCountFrequency (%)
0 19
52.8%
3 1
 
2.8%
4 1
 
2.8%
5 1
 
2.8%
6 2
 
5.6%
7 1
 
2.8%
8 2
 
5.6%
9 1
 
2.8%
10 1
 
2.8%
12 1
 
2.8%
ValueCountFrequency (%)
31 1
2.8%
25 1
2.8%
24 1
2.8%
18 1
2.8%
13 2
5.6%
12 1
2.8%
10 1
2.8%
9 1
2.8%
8 2
5.6%
7 1
2.8%

금월 신규 경형
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
31 
1
4 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
86.1%
1 4
 
11.1%
2 1
 
2.8%

Length

2023-12-11T01:18:14.055077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:14.328364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
86.1%
1 4
 
11.1%
2 1
 
2.8%

금월 신규 소형
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
33 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 33
91.7%
1 3
 
8.3%

Length

2023-12-11T01:18:14.529109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:14.705543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
91.7%
1 3
 
8.3%

금월 신규 중형
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5555556
Minimum0
Maximum19
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:14.841040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.25
95-th percentile16.5
Maximum19
Range19
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation5.4429217
Coefficient of variation (CV)1.5308217
Kurtosis2.0459462
Mean3.5555556
Median Absolute Deviation (MAD)0
Skewness1.6865665
Sum128
Variance29.625397
MonotonicityNot monotonic
2023-12-11T01:18:15.028337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 19
52.8%
7 3
 
8.3%
5 3
 
8.3%
3 2
 
5.6%
1 2
 
5.6%
18 1
 
2.8%
19 1
 
2.8%
10 1
 
2.8%
6 1
 
2.8%
13 1
 
2.8%
Other values (2) 2
 
5.6%
ValueCountFrequency (%)
0 19
52.8%
1 2
 
5.6%
2 1
 
2.8%
3 2
 
5.6%
5 3
 
8.3%
6 1
 
2.8%
7 3
 
8.3%
10 1
 
2.8%
13 1
 
2.8%
16 1
 
2.8%
ValueCountFrequency (%)
19 1
 
2.8%
18 1
 
2.8%
16 1
 
2.8%
13 1
 
2.8%
10 1
 
2.8%
7 3
8.3%
6 1
 
2.8%
5 3
8.3%
3 2
5.6%
2 1
 
2.8%

금월 신규 대형
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8055556
Minimum0
Maximum14
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:15.193537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile5.25
Maximum14
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7756023
Coefficient of variation (CV)1.5372567
Kurtosis9.818109
Mean1.8055556
Median Absolute Deviation (MAD)0
Skewness2.6577094
Sum65
Variance7.7039683
MonotonicityNot monotonic
2023-12-11T01:18:15.371432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 19
52.8%
2 5
 
13.9%
3 4
 
11.1%
4 3
 
8.3%
5 2
 
5.6%
6 1
 
2.8%
1 1
 
2.8%
14 1
 
2.8%
ValueCountFrequency (%)
0 19
52.8%
1 1
 
2.8%
2 5
 
13.9%
3 4
 
11.1%
4 3
 
8.3%
5 2
 
5.6%
6 1
 
2.8%
14 1
 
2.8%
ValueCountFrequency (%)
14 1
 
2.8%
6 1
 
2.8%
5 2
 
5.6%
4 3
 
8.3%
3 4
 
11.1%
2 5
 
13.9%
1 1
 
2.8%
0 19
52.8%

금월 전입 계
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
29 
1
6 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
80.6%
1 6
 
16.7%
2 1
 
2.8%

Length

2023-12-11T01:18:15.670740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:15.829974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
80.6%
1 6
 
16.7%
2 1
 
2.8%

금월 전입 경형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 36
100.0%

Length

2023-12-11T01:18:15.964209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:16.077065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

금월 전입 소형
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
35 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

Length

2023-12-11T01:18:16.224523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:16.364629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
97.2%
1 1
 
2.8%

금월 전입 중형
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
33 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 33
91.7%
1 2
 
5.6%
2 1
 
2.8%

Length

2023-12-11T01:18:16.495574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:16.618537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
91.7%
1 2
 
5.6%
2 1
 
2.8%

금월 전입 대형
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
33 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 33
91.7%
1 3
 
8.3%

Length

2023-12-11T01:18:16.781673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:16.928052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
91.7%
1 3
 
8.3%

금월 전출 계
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
34 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

Length

2023-12-11T01:18:17.087265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:17.240824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

금월 전출 경형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 36
100.0%

Length

2023-12-11T01:18:17.487481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:17.632327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

금월 전출 소형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 36
100.0%

Length

2023-12-11T01:18:17.810169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:17.949946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

금월 전출 중형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 36
100.0%

Length

2023-12-11T01:18:18.098688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:18.229441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

금월 전출 대형
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
34 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

Length

2023-12-11T01:18:18.378467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:18.546287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

금월 폐지 계
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6666667
Minimum0
Maximum27
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:18.674731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile23.75
Maximum27
Range27
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.8120786
Coefficient of variation (CV)1.3786021
Kurtosis1.3316041
Mean5.6666667
Median Absolute Deviation (MAD)0
Skewness1.4091335
Sum204
Variance61.028571
MonotonicityNot monotonic
2023-12-11T01:18:18.847790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 19
52.8%
10 4
 
11.1%
12 2
 
5.6%
3 2
 
5.6%
6 1
 
2.8%
23 1
 
2.8%
27 1
 
2.8%
5 1
 
2.8%
11 1
 
2.8%
26 1
 
2.8%
Other values (3) 3
 
8.3%
ValueCountFrequency (%)
0 19
52.8%
3 2
 
5.6%
5 1
 
2.8%
6 1
 
2.8%
7 1
 
2.8%
10 4
 
11.1%
11 1
 
2.8%
12 2
 
5.6%
14 1
 
2.8%
15 1
 
2.8%
ValueCountFrequency (%)
27 1
 
2.8%
26 1
 
2.8%
23 1
 
2.8%
15 1
 
2.8%
14 1
 
2.8%
12 2
5.6%
11 1
 
2.8%
10 4
11.1%
7 1
 
2.8%
6 1
 
2.8%

금월 폐지 경형
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
29 
1
5 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
80.6%
1 5
 
13.9%
2 2
 
5.6%

Length

2023-12-11T01:18:19.040013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:19.227031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
80.6%
1 5
 
13.9%
2 2
 
5.6%

금월 폐지 소형
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
29 
1
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
80.6%
1 7
 
19.4%

Length

2023-12-11T01:18:19.418329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:19.594298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
80.6%
1 7
 
19.4%

금월 폐지 중형
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7222222
Minimum0
Maximum18
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:19.714172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36.25
95-th percentile16.25
Maximum18
Range18
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation5.3217135
Coefficient of variation (CV)1.4297141
Kurtosis1.2305568
Mean3.7222222
Median Absolute Deviation (MAD)0
Skewness1.4405599
Sum134
Variance28.320635
MonotonicityNot monotonic
2023-12-11T01:18:19.880042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 19
52.8%
7 3
 
8.3%
6 2
 
5.6%
5 2
 
5.6%
1 2
 
5.6%
4 1
 
2.8%
17 1
 
2.8%
18 1
 
2.8%
9 1
 
2.8%
3 1
 
2.8%
Other values (3) 3
 
8.3%
ValueCountFrequency (%)
0 19
52.8%
1 2
 
5.6%
3 1
 
2.8%
4 1
 
2.8%
5 2
 
5.6%
6 2
 
5.6%
7 3
 
8.3%
9 1
 
2.8%
10 1
 
2.8%
12 1
 
2.8%
ValueCountFrequency (%)
18 1
 
2.8%
17 1
 
2.8%
16 1
 
2.8%
12 1
 
2.8%
10 1
 
2.8%
9 1
 
2.8%
7 3
8.3%
6 2
5.6%
5 2
5.6%
4 1
 
2.8%

금월 폐지 대형
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5
Minimum0
Maximum7
Zeros20
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:20.039351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.25
95-th percentile5.5
Maximum7
Range7
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.0632845
Coefficient of variation (CV)1.375523
Kurtosis0.93236394
Mean1.5
Median Absolute Deviation (MAD)0
Skewness1.3018771
Sum54
Variance4.2571429
MonotonicityNot monotonic
2023-12-11T01:18:20.217184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 20
55.6%
2 6
 
16.7%
4 4
 
11.1%
3 2
 
5.6%
7 2
 
5.6%
5 1
 
2.8%
1 1
 
2.8%
ValueCountFrequency (%)
0 20
55.6%
1 1
 
2.8%
2 6
 
16.7%
3 2
 
5.6%
4 4
 
11.1%
5 1
 
2.8%
7 2
 
5.6%
ValueCountFrequency (%)
7 2
 
5.6%
5 1
 
2.8%
4 4
 
11.1%
3 2
 
5.6%
2 6
 
16.7%
1 1
 
2.8%
0 20
55.6%

금월 누적 계
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean297.66667
Minimum0
Maximum1475
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:20.405334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13
Q3536.75
95-th percentile806.5
Maximum1475
Range1475
Interquartile range (IQR)536.75

Descriptive statistics

Standard deviation364.66917
Coefficient of variation (CV)1.2250924
Kurtosis1.2430986
Mean297.66667
Median Absolute Deviation (MAD)13
Skewness1.123372
Sum10716
Variance132983.6
MonotonicityNot monotonic
2023-12-11T01:18:20.613518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 12
33.3%
1 3
 
8.3%
632 1
 
2.8%
505 1
 
2.8%
6 1
 
2.8%
430 1
 
2.8%
695 1
 
2.8%
649 1
 
2.8%
3 1
 
2.8%
1475 1
 
2.8%
Other values (13) 13
36.1%
ValueCountFrequency (%)
0 12
33.3%
1 3
 
8.3%
3 1
 
2.8%
6 1
 
2.8%
7 1
 
2.8%
19 1
 
2.8%
358 1
 
2.8%
363 1
 
2.8%
413 1
 
2.8%
430 1
 
2.8%
ValueCountFrequency (%)
1475 1
2.8%
820 1
2.8%
802 1
2.8%
756 1
2.8%
723 1
2.8%
695 1
2.8%
649 1
2.8%
648 1
2.8%
632 1
2.8%
505 1
2.8%

금월 누적 경형
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.583333
Minimum0
Maximum75
Zeros18
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:20.800000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q318.75
95-th percentile39.75
Maximum75
Range75
Interquartile range (IQR)18.75

Descriptive statistics

Standard deviation17.186997
Coefficient of variation (CV)1.365854
Kurtosis3.5996003
Mean12.583333
Median Absolute Deviation (MAD)1.5
Skewness1.7173314
Sum453
Variance295.39286
MonotonicityNot monotonic
2023-12-11T01:18:20.983218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 18
50.0%
18 2
 
5.6%
33 2
 
5.6%
11 2
 
5.6%
38 1
 
2.8%
3 1
 
2.8%
39 1
 
2.8%
21 1
 
2.8%
17 1
 
2.8%
42 1
 
2.8%
Other values (6) 6
 
16.7%
ValueCountFrequency (%)
0 18
50.0%
3 1
 
2.8%
11 2
 
5.6%
14 1
 
2.8%
15 1
 
2.8%
16 1
 
2.8%
17 1
 
2.8%
18 2
 
5.6%
21 1
 
2.8%
24 1
 
2.8%
ValueCountFrequency (%)
75 1
2.8%
42 1
2.8%
39 1
2.8%
38 1
2.8%
33 2
5.6%
25 1
2.8%
24 1
2.8%
21 1
2.8%
18 2
5.6%
17 1
2.8%

금월 누적 소형
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.305556
Minimum0
Maximum314
Zeros16
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:21.182433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.5
Q3121.75
95-th percentile185
Maximum314
Range314
Interquartile range (IQR)121.75

Descriptive statistics

Standard deviation80.715663
Coefficient of variation (CV)1.2173288
Kurtosis0.75808191
Mean66.305556
Median Absolute Deviation (MAD)5.5
Skewness1.0487333
Sum2387
Variance6515.0183
MonotonicityNot monotonic
2023-12-11T01:18:21.341836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 16
44.4%
163 1
 
2.8%
121 1
 
2.8%
2 1
 
2.8%
82 1
 
2.8%
162 1
 
2.8%
1 1
 
2.8%
132 1
 
2.8%
314 1
 
2.8%
72 1
 
2.8%
Other values (11) 11
30.6%
ValueCountFrequency (%)
0 16
44.4%
1 1
 
2.8%
2 1
 
2.8%
9 1
 
2.8%
72 1
 
2.8%
82 1
 
2.8%
88 1
 
2.8%
101 1
 
2.8%
103 1
 
2.8%
106 1
 
2.8%
ValueCountFrequency (%)
314 1
2.8%
209 1
2.8%
177 1
2.8%
171 1
2.8%
163 1
2.8%
162 1
2.8%
134 1
2.8%
132 1
2.8%
124 1
2.8%
121 1
2.8%

금월 누적 중형
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.61111
Minimum0
Maximum913
Zeros13
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:21.812340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q3355.5
95-th percentile542.75
Maximum913
Range913
Interquartile range (IQR)355.5

Descriptive statistics

Standard deviation235.42136
Coefficient of variation (CV)1.2159496
Kurtosis0.65000195
Mean193.61111
Median Absolute Deviation (MAD)7
Skewness1.0192292
Sum6970
Variance55423.216
MonotonicityNot monotonic
2023-12-11T01:18:21.940296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 13
36.1%
1 2
 
5.6%
7 2
 
5.6%
262 1
 
2.8%
338 1
 
2.8%
4 1
 
2.8%
294 1
 
2.8%
471 1
 
2.8%
428 1
 
2.8%
3 1
 
2.8%
Other values (12) 12
33.3%
ValueCountFrequency (%)
0 13
36.1%
1 2
 
5.6%
3 1
 
2.8%
4 1
 
2.8%
7 2
 
5.6%
236 1
 
2.8%
238 1
 
2.8%
255 1
 
2.8%
262 1
 
2.8%
294 1
 
2.8%
ValueCountFrequency (%)
913 1
2.8%
569 1
2.8%
534 1
2.8%
512 1
2.8%
471 1
2.8%
436 1
2.8%
428 1
2.8%
416 1
2.8%
408 1
2.8%
338 1
2.8%

금월 누적 대형
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.166667
Minimum0
Maximum173
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:22.058473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q340
95-th percentile76
Maximum173
Range173
Interquartile range (IQR)40

Descriptive statistics

Standard deviation35.843708
Coefficient of variation (CV)1.4242533
Kurtosis7.1993468
Mean25.166667
Median Absolute Deviation (MAD)0
Skewness2.2413386
Sum906
Variance1284.7714
MonotonicityNot monotonic
2023-12-11T01:18:22.189330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 19
52.8%
39 2
 
5.6%
44 2
 
5.6%
32 2
 
5.6%
23 1
 
2.8%
72 1
 
2.8%
88 1
 
2.8%
49 1
 
2.8%
43 1
 
2.8%
57 1
 
2.8%
Other values (5) 5
 
13.9%
ValueCountFrequency (%)
0 19
52.8%
23 1
 
2.8%
32 2
 
5.6%
34 1
 
2.8%
35 1
 
2.8%
38 1
 
2.8%
39 2
 
5.6%
43 1
 
2.8%
44 2
 
5.6%
49 1
 
2.8%
ValueCountFrequency (%)
173 1
2.8%
88 1
2.8%
72 1
2.8%
64 1
2.8%
57 1
2.8%
49 1
2.8%
44 2
5.6%
43 1
2.8%
39 2
5.6%
38 1
2.8%

Sample

행정동명 용도_규모금월 신규 계금월 신규 경형금월 신규 소형금월 신규 중형금월 신규 대형금월 전입 계금월 전입 경형금월 전입 소형금월 전입 중형금월 전입 대형금월 전출 계금월 전출 경형금월 전출 소형금월 전출 중형금월 전출 대형금월 폐지 계금월 폐지 경형금월 폐지 소형금월 폐지 중형금월 폐지 대형금월 누적 계금월 누적 경형금월 누적 소형금월 누적 중형금월 누적 대형
0감만1동 관용0000000000000000000010010
1감만1동 자가용13017500000000001211737564216351239
2감만2동 관용0000000000000000000000000
3감만2동 자가용70052000000000060042358118823623
4대연1동 관용0000000000000000000000000
5대연1동 자가용2400186101000000023111747233817743672
6대연3동 관용00000000000000000000193970
7대연3동 자가용2511194000000000027201878203912456988
8대연4동 관용0000000000000000000000000
9대연4동 자가용6003310001000001010635042110333149
행정동명 용도_규모금월 신규 계금월 신규 경형금월 신규 소형금월 신규 중형금월 신규 대형금월 전입 계금월 전입 경형금월 전입 소형금월 전입 중형금월 전입 대형금월 전출 계금월 전출 경형금월 전출 소형금월 전출 중형금월 전출 대형금월 폐지 계금월 폐지 경형금월 폐지 소형금월 폐지 중형금월 폐지 대형금월 누적 계금월 누적 경형금월 누적 소형금월 누적 중형금월 누적 대형
26용호2동 관용0000000000000000000030030
27용호2동 자가용90072000000000015101046492513242864
28용호3동 관용0000000000000000000010100
29용호3동 자가용81052200200000014001226952416247138
30용호4동 관용0000000000000000000000000
31용호4동 자가용132074100011000170052430158229439
32우암1동 관용0000000000000000000000000
33우암1동 자가용0000000000000000000060240
34우암동 관용0000000000000000000000000
35우암동 자가용400220000000000301115051412133832