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
Numeric10
Categorical15

Dataset

Description부산광역시남구이륜차등록현황_20230321
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15023019

Alerts

금월 전입 경형 has constant value ""Constant
금월 전입 소형 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 (69.0%)Imbalance
금월 신규 소형 is highly imbalanced (69.1%)Imbalance
금월 전입 계 is highly imbalanced (57.0%)Imbalance
금월 전입 중형 is highly imbalanced (77.0%)Imbalance
금월 전입 대형 is highly imbalanced (58.6%)Imbalance
금월 전출 계 is highly imbalanced (58.6%)Imbalance
금월 전출 대형 is highly imbalanced (58.6%)Imbalance
금월 폐지 소형 is highly imbalanced (58.6%)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 21 (58.3%) zerosZeros
금월 폐지 계 has 18 (50.0%) zerosZeros
금월 폐지 중형 has 18 (50.0%) 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 16:18:02.495436
Analysis finished2023-12-10 16:18:02.789772
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
2023-12-11T01:18:02.920477image/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%
2023-12-11T01:18:03.315822image/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 

Distinct11
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2777778
Minimum0
Maximum19
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:03.462110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile15
Maximum19
Range19
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.4908293
Coefficient of variation (CV)1.2835705
Kurtosis0.6118022
Mean4.2777778
Median Absolute Deviation (MAD)0
Skewness1.1556467
Sum154
Variance30.149206
MonotonicityNot monotonic
2023-12-11T01:18:03.599731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 19
52.8%
8 4
 
11.1%
4 2
 
5.6%
6 2
 
5.6%
11 2
 
5.6%
5 2
 
5.6%
14 1
 
2.8%
18 1
 
2.8%
10 1
 
2.8%
9 1
 
2.8%
ValueCountFrequency (%)
0 19
52.8%
4 2
 
5.6%
5 2
 
5.6%
6 2
 
5.6%
8 4
 
11.1%
9 1
 
2.8%
10 1
 
2.8%
11 2
 
5.6%
14 1
 
2.8%
18 1
 
2.8%
ValueCountFrequency (%)
19 1
 
2.8%
18 1
 
2.8%
14 1
 
2.8%
11 2
5.6%
10 1
 
2.8%
9 1
 
2.8%
8 4
11.1%
6 2
5.6%
5 2
5.6%
4 2
5.6%

금월 신규 경형
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

2023-12-11T01:18:03.722726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:03.817049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
94.4%
1 2
 
5.6%

금월 신규 소형
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 row2
5th row0

Common Values

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

Length

2023-12-11T01:18:03.922117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:04.036484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
91.7%
1 2
 
5.6%
2 1
 
2.8%

금월 신규 중형
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9166667
Minimum0
Maximum14
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:04.127289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.25
95-th percentile9.75
Maximum14
Range14
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation3.8794329
Coefficient of variation (CV)1.3300913
Kurtosis0.75918886
Mean2.9166667
Median Absolute Deviation (MAD)0
Skewness1.2325143
Sum105
Variance15.05
MonotonicityNot monotonic
2023-12-11T01:18:04.232690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 19
52.8%
3 3
 
8.3%
7 3
 
8.3%
2 2
 
5.6%
5 2
 
5.6%
8 2
 
5.6%
12 1
 
2.8%
14 1
 
2.8%
6 1
 
2.8%
4 1
 
2.8%
ValueCountFrequency (%)
0 19
52.8%
2 2
 
5.6%
3 3
 
8.3%
4 1
 
2.8%
5 2
 
5.6%
6 1
 
2.8%
7 3
 
8.3%
8 2
 
5.6%
9 1
 
2.8%
12 1
 
2.8%
ValueCountFrequency (%)
14 1
 
2.8%
12 1
 
2.8%
9 1
 
2.8%
8 2
5.6%
7 3
8.3%
6 1
 
2.8%
5 2
5.6%
4 1
 
2.8%
3 3
8.3%
2 2
5.6%

금월 신규 대형
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1944444
Minimum0
Maximum7
Zeros21
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:04.352208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5.25
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8488521
Coefficient of variation (CV)1.5478761
Kurtosis2.5522546
Mean1.1944444
Median Absolute Deviation (MAD)0
Skewness1.7373649
Sum43
Variance3.418254
MonotonicityNot monotonic
2023-12-11T01:18:04.481056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 21
58.3%
2 6
 
16.7%
1 3
 
8.3%
3 2
 
5.6%
7 1
 
2.8%
4 1
 
2.8%
6 1
 
2.8%
5 1
 
2.8%
ValueCountFrequency (%)
0 21
58.3%
1 3
 
8.3%
2 6
 
16.7%
3 2
 
5.6%
4 1
 
2.8%
5 1
 
2.8%
6 1
 
2.8%
7 1
 
2.8%
ValueCountFrequency (%)
7 1
 
2.8%
6 1
 
2.8%
5 1
 
2.8%
4 1
 
2.8%
3 2
 
5.6%
2 6
 
16.7%
1 3
 
8.3%
0 21
58.3%

금월 전입 계
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

2023-12-11T01:18:04.617621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:04.741675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
86.1%
1 4
 
11.1%
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

2023-12-11T01:18:04.886084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:05.084505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

금월 전입 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

2023-12-11T01:18:05.217918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:05.355402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
100.0%

금월 전입 중형
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
34 
2
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 34
94.4%
2 1
 
2.8%
1 1
 
2.8%

Length

2023-12-11T01:18:05.519925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:05.675050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
94.4%
2 1
 
2.8%
1 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

2023-12-11T01:18:05.885061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:06.039896image/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
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 row1
5th row0

Common Values

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

Length

2023-12-11T01:18:06.206606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:06.372109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
91.7%
1 3
 
8.3%

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

2023-12-11T01:18:06.529730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:06.667326image/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

2023-12-11T01:18:06.809675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:06.955581image/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

2023-12-11T01:18:07.087731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:07.261639image/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
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 row1
5th row0

Common Values

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

Length

2023-12-11T01:18:07.403901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:07.532687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
91.7%
1 3
 
8.3%

금월 폐지 계
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.75
Minimum0
Maximum14
Zeros18
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:07.646423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q37.25
95-th percentile13.25
Maximum14
Range14
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation4.7230438
Coefficient of variation (CV)1.2594784
Kurtosis-0.46327908
Mean3.75
Median Absolute Deviation (MAD)0.5
Skewness0.93409354
Sum135
Variance22.307143
MonotonicityNot monotonic
2023-12-11T01:18:07.788768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 18
50.0%
8 3
 
8.3%
7 3
 
8.3%
4 3
 
8.3%
14 2
 
5.6%
1 1
 
2.8%
13 1
 
2.8%
12 1
 
2.8%
3 1
 
2.8%
10 1
 
2.8%
Other values (2) 2
 
5.6%
ValueCountFrequency (%)
0 18
50.0%
1 1
 
2.8%
2 1
 
2.8%
3 1
 
2.8%
4 3
 
8.3%
7 3
 
8.3%
8 3
 
8.3%
9 1
 
2.8%
10 1
 
2.8%
12 1
 
2.8%
ValueCountFrequency (%)
14 2
5.6%
13 1
 
2.8%
12 1
 
2.8%
10 1
 
2.8%
9 1
 
2.8%
8 3
8.3%
7 3
8.3%
4 3
8.3%
3 1
 
2.8%
2 1
 
2.8%

금월 폐지 경형
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
30 
2
 
3
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
83.3%
2 3
 
8.3%
1 3
 
8.3%

Length

2023-12-11T01:18:07.935842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:08.071640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
83.3%
2 3
 
8.3%
1 3
 
8.3%

금월 폐지 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

2023-12-11T01:18:08.232579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:08.373036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
91.7%
1 3
 
8.3%

금월 폐지 중형
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5833333
Minimum0
Maximum11
Zeros18
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:08.510039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q34.25
95-th percentile9.25
Maximum11
Range11
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation3.3668553
Coefficient of variation (CV)1.3032988
Kurtosis0.022713135
Mean2.5833333
Median Absolute Deviation (MAD)0.5
Skewness1.0966662
Sum93
Variance11.335714
MonotonicityNot monotonic
2023-12-11T01:18:08.660670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 18
50.0%
4 3
 
8.3%
1 2
 
5.6%
6 2
 
5.6%
3 2
 
5.6%
7 2
 
5.6%
2 2
 
5.6%
10 1
 
2.8%
8 1
 
2.8%
11 1
 
2.8%
Other values (2) 2
 
5.6%
ValueCountFrequency (%)
0 18
50.0%
1 2
 
5.6%
2 2
 
5.6%
3 2
 
5.6%
4 3
 
8.3%
5 1
 
2.8%
6 2
 
5.6%
7 2
 
5.6%
8 1
 
2.8%
9 1
 
2.8%
ValueCountFrequency (%)
11 1
 
2.8%
10 1
 
2.8%
9 1
 
2.8%
8 1
 
2.8%
7 2
5.6%
6 2
5.6%
5 1
 
2.8%
4 3
8.3%
3 2
5.6%
2 2
5.6%

금월 폐지 대형
Categorical

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
0
21 
1
7 
3
4 
2
3 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row0
2nd row1
3rd row0
4th row3
5th row0

Common Values

ValueCountFrequency (%)
0 21
58.3%
1 7
 
19.4%
3 4
 
11.1%
2 3
 
8.3%
5 1
 
2.8%

Length

2023-12-11T01:18:08.847717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:08.989147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
58.3%
1 7
 
19.4%
3 4
 
11.1%
2 3
 
8.3%
5 1
 
2.8%

금월 누적 계
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean299.47222
Minimum0
Maximum1460
Zeros12
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:09.146622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.5
Q3545.75
95-th percentile772
Maximum1460
Range1460
Interquartile range (IQR)545.75

Descriptive statistics

Standard deviation364.88992
Coefficient of variation (CV)1.2184433
Kurtosis1.0278293
Mean299.47222
Median Absolute Deviation (MAD)12.5
Skewness1.0747348
Sum10781
Variance133144.66
MonotonicityNot monotonic
2023-12-11T01:18:09.316972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 12
33.3%
1 3
 
8.3%
357 2
 
5.6%
508 2
 
5.6%
659 1
 
2.8%
6 1
 
2.8%
423 1
 
2.8%
698 1
 
2.8%
722 1
 
2.8%
2 1
 
2.8%
Other values (11) 11
30.6%
ValueCountFrequency (%)
0 12
33.3%
1 3
 
8.3%
2 1
 
2.8%
6 1
 
2.8%
7 1
 
2.8%
18 1
 
2.8%
357 2
 
5.6%
423 1
 
2.8%
438 1
 
2.8%
439 1
 
2.8%
ValueCountFrequency (%)
1460 1
2.8%
832 1
2.8%
752 1
2.8%
746 1
2.8%
722 1
2.8%
698 1
2.8%
692 1
2.8%
678 1
2.8%
659 1
2.8%
508 2
5.6%

금월 누적 경형
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.333333
Minimum0
Maximum66
Zeros18
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:09.450663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q319.5
95-th percentile40
Maximum66
Range66
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation16.122743
Coefficient of variation (CV)1.3072495
Kurtosis2.0200563
Mean12.333333
Median Absolute Deviation (MAD)1.5
Skewness1.4169117
Sum444
Variance259.94286
MonotonicityNot monotonic
2023-12-11T01:18:09.868277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 18
50.0%
14 3
 
8.3%
32 2
 
5.6%
40 2
 
5.6%
16 2
 
5.6%
13 1
 
2.8%
3 1
 
2.8%
19 1
 
2.8%
17 1
 
2.8%
21 1
 
2.8%
Other values (4) 4
 
11.1%
ValueCountFrequency (%)
0 18
50.0%
3 1
 
2.8%
13 1
 
2.8%
14 3
 
8.3%
16 2
 
5.6%
17 1
 
2.8%
19 1
 
2.8%
21 1
 
2.8%
22 1
 
2.8%
31 1
 
2.8%
ValueCountFrequency (%)
66 1
2.8%
40 2
5.6%
34 1
2.8%
32 2
5.6%
31 1
2.8%
22 1
2.8%
21 1
2.8%
19 1
2.8%
17 1
2.8%
16 2
5.6%

금월 누적 소형
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67
Minimum0
Maximum316
Zeros16
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:10.008789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.5
Q3125
95-th percentile189.5
Maximum316
Range316
Interquartile range (IQR)125

Descriptive statistics

Standard deviation81.544028
Coefficient of variation (CV)1.2170751
Kurtosis0.67376034
Mean67
Median Absolute Deviation (MAD)5.5
Skewness1.0321822
Sum2412
Variance6649.4286
MonotonicityNot monotonic
2023-12-11T01:18:10.141594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 16
44.4%
157 1
 
2.8%
123 1
 
2.8%
2 1
 
2.8%
76 1
 
2.8%
161 1
 
2.8%
1 1
 
2.8%
143 1
 
2.8%
316 1
 
2.8%
73 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%
73 1
 
2.8%
76 1
 
2.8%
87 1
 
2.8%
100 1
 
2.8%
103 1
 
2.8%
110 1
 
2.8%
ValueCountFrequency (%)
316 1
2.8%
203 1
2.8%
185 1
2.8%
179 1
2.8%
161 1
2.8%
157 1
2.8%
143 1
2.8%
137 1
2.8%
131 1
2.8%
123 1
2.8%

금월 누적 중형
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.61111
Minimum0
Maximum904
Zeros13
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:10.311727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.5
Q3362.5
95-th percentile510.5
Maximum904
Range904
Interquartile range (IQR)362.5

Descriptive statistics

Standard deviation234.11136
Coefficient of variation (CV)1.2091835
Kurtosis0.52619305
Mean193.61111
Median Absolute Deviation (MAD)6.5
Skewness0.98043531
Sum6970
Variance54808.13
MonotonicityNot monotonic
2023-12-11T01:18:10.468005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 13
36.1%
1 2
 
5.6%
437 1
 
2.8%
342 1
 
2.8%
4 1
 
2.8%
292 1
 
2.8%
470 1
 
2.8%
478 1
 
2.8%
2 1
 
2.8%
904 1
 
2.8%
Other values (13) 13
36.1%
ValueCountFrequency (%)
0 13
36.1%
1 2
 
5.6%
2 1
 
2.8%
4 1
 
2.8%
6 1
 
2.8%
7 1
 
2.8%
233 1
 
2.8%
236 1
 
2.8%
253 1
 
2.8%
276 1
 
2.8%
ValueCountFrequency (%)
904 1
2.8%
563 1
2.8%
493 1
2.8%
478 1
2.8%
470 1
2.8%
465 1
2.8%
444 1
2.8%
437 1
2.8%
424 1
2.8%
342 1
2.8%

금월 누적 대형
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.527778
Minimum0
Maximum174
Zeros19
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-11T01:18:10.610015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q342.75
95-th percentile82.25
Maximum174
Range174
Interquartile range (IQR)42.75

Descriptive statistics

Standard deviation37.33362
Coefficient of variation (CV)1.4073407
Kurtosis5.8231343
Mean26.527778
Median Absolute Deviation (MAD)0
Skewness2.0507194
Sum955
Variance1393.7992
MonotonicityNot monotonic
2023-12-11T01:18:10.747609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 19
52.8%
53 2
 
5.6%
39 2
 
5.6%
51 1
 
2.8%
27 1
 
2.8%
45 1
 
2.8%
70 1
 
2.8%
174 1
 
2.8%
34 1
 
2.8%
33 1
 
2.8%
Other values (6) 6
 
16.7%
ValueCountFrequency (%)
0 19
52.8%
24 1
 
2.8%
27 1
 
2.8%
33 1
 
2.8%
34 1
 
2.8%
38 1
 
2.8%
39 2
 
5.6%
42 1
 
2.8%
45 1
 
2.8%
51 1
 
2.8%
ValueCountFrequency (%)
174 1
2.8%
98 1
2.8%
77 1
2.8%
70 1
2.8%
58 1
2.8%
53 2
5.6%
51 1
2.8%
45 1
2.8%
42 1
2.8%
39 2
5.6%

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 자가용400220000000000821416923215746538
2감만2동 관용0000000000000000000000000
3감만2동 자가용80233000001000170043357138723324
4대연1동 관용0000000000000000000000000
5대연1동 자가용140077000001000114101037464018544477
6대연3동 관용00000000000000010010183960
7대연3동 자가용181112410001000001300858324013156398
8대연4동 관용0000000000000000000000000
9대연4동 자가용60051200200000012001115081910333353
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 관용0000000000000000000020020
27용호2동 자가용800801000100000911617223114347870
28용호3동 관용0000000000000000000010100
29용호3동 자가용800620000000000820426982216147045
30용호4동 관용0000000000000000000000000
31용호4동 자가용50041100011000141021423167629239
32우암1동 관용0000000000000000000000000
33우암1동 자가용0000000000000000000060240
34우암동 관용0000000000000000000000000
35우암동 자가용1100921001000000800715081612334227