Overview

Dataset statistics

Number of variables26
Number of observations59
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.4 KiB
Average record size in memory232.2 B

Variable types

Text3
Numeric8
Categorical15

Dataset

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

Alerts

금월 전입 소형 has constant value ""Constant
금월 전출 경형 has constant value ""Constant
금월 전출 소형 has constant value ""Constant
금월 신규 경형 is highly imbalanced (58.2%)Imbalance
금월 신규 소형 is highly imbalanced (55.2%)Imbalance
금월 전입 계 is highly imbalanced (67.4%)Imbalance
금월 전입 경형 is highly imbalanced (58.1%)Imbalance
금월 전입 중형 is highly imbalanced (87.6%)Imbalance
금월 전입 대형 is highly imbalanced (60.4%)Imbalance
금월 전출 계 is highly imbalanced (69.7%)Imbalance
금월 전출 중형 is highly imbalanced (69.7%)Imbalance
금월 전출 대형 is highly imbalanced (87.6%)Imbalance
금월 폐지 경형 is highly imbalanced (56.6%)Imbalance
금월 폐지 소형 is highly imbalanced (61.4%)Imbalance
행정동명 용도_규모 has unique valuesUnique
금월 신규 계 has 21 (35.6%) zerosZeros
금월 신규 중형 has 21 (35.6%) zerosZeros
금월 신규 대형 has 26 (44.1%) zerosZeros
금월 폐지 계 has 19 (32.2%) zerosZeros
금월 폐지 중형 has 19 (32.2%) zerosZeros
금월 폐지 대형 has 32 (54.2%) zerosZeros
금월 누적 경형 has 19 (32.2%) zerosZeros
금월 누적 대형 has 22 (37.3%) zerosZeros

Reproduction

Analysis started2023-12-10 16:18:23.913361
Analysis finished2023-12-10 16:18:24.199989
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동명 용도_규모
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T01:18:24.365376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.1525424
Min length5

Characters and Unicode

Total characters422
Distinct characters26
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

Unique59 ?
Unique (%)100.0%

Sample

1st row감만1동 관용
2nd row감만1동 자가용
3rd row감만1동 소계
4th row감만2동 관용
5th row감만2동 자가용
ValueCountFrequency (%)
관용 20
17.1%
자가용 20
17.1%
소계 18
15.4%
감만1동 3
 
2.6%
우암2동 3
 
2.6%
우암1동 3
 
2.6%
용호2동 3
 
2.6%
용호1동 3
 
2.6%
용당동 3
 
2.6%
문현4동 3
 
2.6%
Other values (14) 38
32.5%
2023-12-11T01:18:24.782912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
13.7%
동 57
13.5%
용 55
13.0%
자 20
 
4.7%
가 20
 
4.7%
관 20
 
4.7%
소 19
 
4.5%
계 19
 
4.5%
1 15
 
3.6%
대 15
 
3.6%
Other values (16) 124
29.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 313
74.2%
Space Separator 58
 
13.7%
Decimal Number 51
 
12.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 57
18.2%
용 55
17.6%
자 20
 
6.4%
가 20
 
6.4%
관 20
 
6.4%
소 19
 
6.1%
계 19
 
6.1%
대 15
 
4.8%
연 15
 
4.8%
문 12
 
3.8%
Other values (9) 61
19.5%
Decimal Number
ValueCountFrequency (%)
1 15
29.4%
2 12
23.5%
3 9
17.6%
4 9
17.6%
6 3
 
5.9%
5 3
 
5.9%
Space Separator
ValueCountFrequency (%)
58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 313
74.2%
Common 109
 
25.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 57
18.2%
용 55
17.6%
자 20
 
6.4%
가 20
 
6.4%
관 20
 
6.4%
소 19
 
6.1%
계 19
 
6.1%
대 15
 
4.8%
연 15
 
4.8%
문 12
 
3.8%
Other values (9) 61
19.5%
Common
ValueCountFrequency (%)
58
53.2%
1 15
 
13.8%
2 12
 
11.0%
3 9
 
8.3%
4 9
 
8.3%
6 3
 
2.8%
5 3
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 313
74.2%
ASCII 109
 
25.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
53.2%
1 15
 
13.8%
2 12
 
11.0%
3 9
 
8.3%
4 9
 
8.3%
6 3
 
2.8%
5 3
 
2.8%
Hangul
ValueCountFrequency (%)
동 57
18.2%
용 55
17.6%
자 20
 
6.4%
가 20
 
6.4%
관 20
 
6.4%
소 19
 
6.1%
계 19
 
6.1%
대 15
 
4.8%
연 15
 
4.8%
문 12
 
3.8%
Other values (9) 61
19.5%

금월 신규 계
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.711864
Minimum0
Maximum188
Zeros21
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:24.910521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q310.5
95-th percentile39.8
Maximum188
Range188
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation39.723202
Coefficient of variation (CV)2.5282297
Kurtosis15.082691
Mean15.711864
Median Absolute Deviation (MAD)7
Skewness3.992578
Sum927
Variance1577.9328
MonotonicityNot monotonic
2023-12-11T01:18:25.060727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 21
35.6%
8 8
 
13.6%
7 6
 
10.2%
6 4
 
6.8%
23 2
 
3.4%
21 2
 
3.4%
13 2
 
3.4%
11 2
 
3.4%
4 2
 
3.4%
10 2
 
3.4%
Other values (5) 8
 
13.6%
ValueCountFrequency (%)
0 21
35.6%
2 1
 
1.7%
4 2
 
3.4%
6 4
 
6.8%
7 6
 
10.2%
8 8
 
13.6%
10 2
 
3.4%
11 2
 
3.4%
13 2
 
3.4%
16 2
 
3.4%
ValueCountFrequency (%)
188 2
 
3.4%
173 1
 
1.7%
25 2
 
3.4%
23 2
 
3.4%
21 2
 
3.4%
16 2
 
3.4%
13 2
 
3.4%
11 2
 
3.4%
10 2
 
3.4%
8 8
13.6%

금월 신규 경형
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
50 
1
 
5
2
 
2
4
 
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 50
84.7%
1 5
 
8.5%
2 2
 
3.4%
4 2
 
3.4%

Length

2023-12-11T01:18:25.196948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:25.303819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
84.7%
1 5
 
8.5%
2 2
 
3.4%
4 2
 
3.4%

금월 신규 소형
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
48 
1
5 
2
 
2
3
 
2
7
 
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 48
81.4%
1 5
 
8.5%
2 2
 
3.4%
3 2
 
3.4%
7 2
 
3.4%

Length

2023-12-11T01:18:25.404509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:25.547133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
81.4%
1 5
 
8.5%
2 2
 
3.4%
3 2
 
3.4%
7 2
 
3.4%

금월 신규 중형
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.016949
Minimum0
Maximum140
Zeros21
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:25.681647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q36.5
95-th percentile29.8
Maximum140
Range140
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation28.581095
Coefficient of variation (CV)2.5942841
Kurtosis15.150678
Mean11.016949
Median Absolute Deviation (MAD)4
Skewness3.9992414
Sum650
Variance816.87902
MonotonicityNot monotonic
2023-12-11T01:18:25.843957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 21
35.6%
6 6
 
10.2%
5 6
 
10.2%
4 6
 
10.2%
2 3
 
5.1%
19 2
 
3.4%
16 2
 
3.4%
7 2
 
3.4%
8 2
 
3.4%
3 2
 
3.4%
Other values (4) 7
 
11.9%
ValueCountFrequency (%)
0 21
35.6%
2 3
 
5.1%
3 2
 
3.4%
4 6
 
10.2%
5 6
 
10.2%
6 6
 
10.2%
7 2
 
3.4%
8 2
 
3.4%
13 2
 
3.4%
14 2
 
3.4%
ValueCountFrequency (%)
140 1
 
1.7%
127 2
 
3.4%
19 2
 
3.4%
16 2
 
3.4%
14 2
 
3.4%
13 2
 
3.4%
8 2
 
3.4%
7 2
 
3.4%
6 6
10.2%
5 6
10.2%

금월 신규 대형
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9152542
Minimum0
Maximum50
Zeros26
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:25.988718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile10.3
Maximum50
Range50
Interquartile range (IQR)4

Descriptive statistics

Standard deviation9.7526091
Coefficient of variation (CV)2.4909261
Kurtosis17.058619
Mean3.9152542
Median Absolute Deviation (MAD)1
Skewness4.1172159
Sum231
Variance95.113384
MonotonicityNot monotonic
2023-12-11T01:18:26.112610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 26
44.1%
4 8
 
13.6%
1 8
 
13.6%
2 4
 
6.8%
3 4
 
6.8%
6 4
 
6.8%
8 2
 
3.4%
50 2
 
3.4%
31 1
 
1.7%
ValueCountFrequency (%)
0 26
44.1%
1 8
 
13.6%
2 4
 
6.8%
3 4
 
6.8%
4 8
 
13.6%
6 4
 
6.8%
8 2
 
3.4%
31 1
 
1.7%
50 2
 
3.4%
ValueCountFrequency (%)
50 2
 
3.4%
31 1
 
1.7%
8 2
 
3.4%
6 4
 
6.8%
4 8
 
13.6%
3 4
 
6.8%
2 4
 
6.8%
1 8
 
13.6%
0 26
44.1%

금월 전입 계
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
52 
2
 
2
1
 
2
3
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 52
88.1%
2 2
 
3.4%
1 2
 
3.4%
3 2
 
3.4%
5 1
 
1.7%

Length

2023-12-11T01:18:26.255037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:26.372562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
88.1%
2 2
 
3.4%
1 2
 
3.4%
3 2
 
3.4%
5 1
 
1.7%

금월 전입 경형
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
54 
1
 
5

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 54
91.5%
1 5
 
8.5%

Length

2023-12-11T01:18:26.521883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:26.636533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 54
91.5%
1 5
 
8.5%

금월 전입 소형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
59 

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 59
100.0%

Length

2023-12-11T01:18:26.742878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:26.833966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
100.0%

금월 전입 중형
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
58 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 58
98.3%
3 1
 
1.7%

Length

2023-12-11T01:18:26.937269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:27.040442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
98.3%
3 1
 
1.7%

금월 전입 대형
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
52 
1
 
5
2
 
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 52
88.1%
1 5
 
8.5%
2 2
 
3.4%

Length

2023-12-11T01:18:27.153964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:27.287669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
88.1%
1 5
 
8.5%
2 2
 
3.4%

금월 전출 계
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
54 
1
 
4
11
 
1

Length

Max length2
Median length1
Mean length1.0169492
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 54
91.5%
1 4
 
6.8%
11 1
 
1.7%

Length

2023-12-11T01:18:27.393711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:27.501424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 54
91.5%
1 4
 
6.8%
11 1
 
1.7%

금월 전출 경형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
59 

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 59
100.0%

Length

2023-12-11T01:18:27.603032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:27.693182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
100.0%

금월 전출 소형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
59 

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 59
100.0%

Length

2023-12-11T01:18:27.784978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:27.879887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
100.0%

금월 전출 중형
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
54 
1
 
4
10
 
1

Length

Max length2
Median length1
Mean length1.0169492
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 54
91.5%
1 4
 
6.8%
10 1
 
1.7%

Length

2023-12-11T01:18:27.977797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:28.071446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 54
91.5%
1 4
 
6.8%
10 1
 
1.7%

금월 전출 대형
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
58 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 58
98.3%
1 1
 
1.7%

Length

2023-12-11T01:18:28.163478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:28.250974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
98.3%
1 1
 
1.7%

금월 폐지 계
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.220339
Minimum0
Maximum185
Zeros19
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:28.330692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q39.5
95-th percentile41.6
Maximum185
Range185
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation38.036764
Coefficient of variation (CV)2.4990747
Kurtosis15.166498
Mean15.220339
Median Absolute Deviation (MAD)5
Skewness3.9786519
Sum898
Variance1446.7954
MonotonicityNot monotonic
2023-12-11T01:18:28.442944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 19
32.2%
6 6
 
10.2%
10 4
 
6.8%
8 4
 
6.8%
7 4
 
6.8%
9 4
 
6.8%
2 2
 
3.4%
11 2
 
3.4%
22 2
 
3.4%
5 2
 
3.4%
Other values (8) 10
16.9%
ValueCountFrequency (%)
0 19
32.2%
2 2
 
3.4%
3 1
 
1.7%
4 2
 
3.4%
5 2
 
3.4%
6 6
 
10.2%
7 4
 
6.8%
8 4
 
6.8%
9 4
 
6.8%
10 4
 
6.8%
ValueCountFrequency (%)
185 1
 
1.7%
183 1
 
1.7%
155 1
 
1.7%
29 2
3.4%
28 1
 
1.7%
26 1
 
1.7%
22 2
3.4%
11 2
3.4%
10 4
6.8%
9 4
6.8%

금월 폐지 경형
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
48 
1
6 
2
 
2
5
 
2
9
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 48
81.4%
1 6
 
10.2%
2 2
 
3.4%
5 2
 
3.4%
9 1
 
1.7%

Length

2023-12-11T01:18:28.558100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:28.655533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
81.4%
1 6
 
10.2%
2 2
 
3.4%
5 2
 
3.4%
9 1
 
1.7%

금월 폐지 소형
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
50 
1
 
4
2
 
2
4
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 50
84.7%
1 4
 
6.8%
2 2
 
3.4%
4 2
 
3.4%
3 1
 
1.7%

Length

2023-12-11T01:18:28.764012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:18:28.864741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
84.7%
1 4
 
6.8%
2 2
 
3.4%
4 2
 
3.4%
3 1
 
1.7%

금월 폐지 중형
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.728814
Minimum0
Maximum143
Zeros19
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:28.968290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q37
95-th percentile34.2
Maximum143
Range143
Interquartile range (IQR)7

Descriptive statistics

Standard deviation29.207244
Coefficient of variation (CV)2.490213
Kurtosis15.218275
Mean11.728814
Median Absolute Deviation (MAD)5
Skewness3.9776697
Sum692
Variance853.06312
MonotonicityNot monotonic
2023-12-11T01:18:29.106862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 19
32.2%
5 8
13.6%
7 6
 
10.2%
3 5
 
8.5%
6 4
 
6.8%
4 2
 
3.4%
19 2
 
3.4%
8 2
 
3.4%
10 2
 
3.4%
2 2
 
3.4%
Other values (6) 7
 
11.9%
ValueCountFrequency (%)
0 19
32.2%
2 2
 
3.4%
3 5
 
8.5%
4 2
 
3.4%
5 8
13.6%
6 4
 
6.8%
7 6
 
10.2%
8 2
 
3.4%
10 2
 
3.4%
18 2
 
3.4%
ValueCountFrequency (%)
143 1
 
1.7%
141 1
 
1.7%
117 1
 
1.7%
25 1
 
1.7%
23 1
 
1.7%
19 2
 
3.4%
18 2
 
3.4%
10 2
 
3.4%
8 2
 
3.4%
7 6
10.2%

금월 폐지 대형
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6779661
Minimum0
Maximum33
Zeros32
Zeros (%)54.2%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:29.251939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile8
Maximum33
Range33
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.7732758
Coefficient of variation (CV)2.5292612
Kurtosis14.903403
Mean2.6779661
Median Absolute Deviation (MAD)0
Skewness3.8985696
Sum158
Variance45.877265
MonotonicityNot monotonic
2023-12-11T01:18:29.375083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 32
54.2%
3 8
 
13.6%
1 6
 
10.2%
4 4
 
6.8%
2 4
 
6.8%
6 2
 
3.4%
33 2
 
3.4%
26 1
 
1.7%
ValueCountFrequency (%)
0 32
54.2%
1 6
 
10.2%
2 4
 
6.8%
3 8
 
13.6%
4 4
 
6.8%
6 2
 
3.4%
26 1
 
1.7%
33 2
 
3.4%
ValueCountFrequency (%)
33 2
 
3.4%
26 1
 
1.7%
6 2
 
3.4%
4 4
 
6.8%
3 8
 
13.6%
2 4
 
6.8%
1 6
 
10.2%
0 32
54.2%

금월 누적 계
Text

Distinct34
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T01:18:29.570365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.5254237
Min length1

Characters and Unicode

Total characters149
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)33.9%

Sample

1st row1
2nd row806
3rd row807
4th row0
5th row336
ValueCountFrequency (%)
0 12
20.3%
1 3
 
5.1%
571 2
 
3.4%
614 2
 
3.4%
488 2
 
3.4%
429 2
 
3.4%
347 2
 
3.4%
6 2
 
3.4%
505 2
 
3.4%
798 2
 
3.4%
Other values (24) 28
47.5%
2023-12-11T01:18:29.917560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25
16.8%
4 22
14.8%
1 21
14.1%
3 14
9.4%
7 12
8.1%
8 12
8.1%
6 11
7.4%
5 10
 
6.7%
2 9
 
6.0%
9 8
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 144
96.6%
Other Punctuation 5
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25
17.4%
4 22
15.3%
1 21
14.6%
3 14
9.7%
7 12
8.3%
8 12
8.3%
6 11
7.6%
5 10
 
6.9%
2 9
 
6.2%
9 8
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 149
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25
16.8%
4 22
14.8%
1 21
14.1%
3 14
9.4%
7 12
8.1%
8 12
8.1%
6 11
7.4%
5 10
 
6.7%
2 9
 
6.0%
9 8
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 149
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25
16.8%
4 22
14.8%
1 21
14.1%
3 14
9.4%
7 12
8.1%
8 12
8.1%
6 11
7.4%
5 10
 
6.7%
2 9
 
6.0%
9 8
 
5.4%

금월 누적 경형
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.033898
Minimum0
Maximum525
Zeros19
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:30.080232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14
Q330
95-th percentile117.8
Maximum525
Range525
Interquartile range (IQR)30

Descriptive statistics

Standard deviation108.44925
Coefficient of variation (CV)2.5800427
Kurtosis15.160189
Mean42.033898
Median Absolute Deviation (MAD)14
Skewness4.0074701
Sum2480
Variance11761.24
MonotonicityNot monotonic
2023-12-11T01:18:30.218982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 19
32.2%
29 6
 
10.2%
12 4
 
6.8%
3 3
 
5.1%
43 2
 
3.4%
14 2
 
3.4%
77 2
 
3.4%
19 2
 
3.4%
8 2
 
3.4%
31 2
 
3.4%
Other values (10) 15
25.4%
ValueCountFrequency (%)
0 19
32.2%
3 3
 
5.1%
8 2
 
3.4%
12 4
 
6.8%
14 2
 
3.4%
17 2
 
3.4%
18 2
 
3.4%
19 2
 
3.4%
22 2
 
3.4%
29 6
 
10.2%
ValueCountFrequency (%)
525 1
1.7%
488 1
1.7%
485 1
1.7%
77 2
3.4%
49 1
1.7%
46 1
1.7%
44 2
3.4%
43 2
3.4%
35 2
3.4%
31 2
3.4%

금월 누적 소형
Categorical

Distinct24
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
0
16 
120
6 
166
 
3
173
 
2
87
 
2
Other values (19)
30 

Length

Max length5
Median length3
Mean length2.2542373
Min length1

Unique

Unique8 ?
Unique (%)13.6%

Sample

1st row0
2nd row173
3rd row173
4th row0
5th row87

Common Values

ValueCountFrequency (%)
0 16
27.1%
120 6
 
10.2%
166 3
 
5.1%
173 2
 
3.4%
87 2
 
3.4%
176 2
 
3.4%
107 2
 
3.4%
207 2
 
3.4%
103 2
 
3.4%
98 2
 
3.4%
Other values (14) 20
33.9%

Length

2023-12-11T01:18:30.406799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 16
27.1%
120 6
 
10.2%
166 3
 
5.1%
98 2
 
3.4%
10 2
 
3.4%
2 2
 
3.4%
82 2
 
3.4%
313 2
 
3.4%
70 2
 
3.4%
131 2
 
3.4%
Other values (14) 20
33.9%

금월 누적 중형
Text

Distinct31
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T01:18:30.681352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.3898305
Min length1

Characters and Unicode

Total characters141
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)25.4%

Sample

1st row1
2nd row547
3rd row548
4th row0
5th row223
ValueCountFrequency (%)
0 13
22.0%
257 3
 
5.1%
311 2
 
3.4%
1 2
 
3.4%
325 2
 
3.4%
4 2
 
3.4%
295 2
 
3.4%
474 2
 
3.4%
225 2
 
3.4%
382 2
 
3.4%
Other values (21) 27
45.8%
2023-12-11T01:18:31.113039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 26
18.4%
0 19
13.5%
5 18
12.8%
3 18
12.8%
4 16
11.3%
7 15
10.6%
8 11
7.8%
1 7
 
5.0%
9 4
 
2.8%
6 4
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138
97.9%
Other Punctuation 3
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 26
18.8%
0 19
13.8%
5 18
13.0%
3 18
13.0%
4 16
11.6%
7 15
10.9%
8 11
8.0%
1 7
 
5.1%
9 4
 
2.9%
6 4
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 141
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 26
18.4%
0 19
13.5%
5 18
12.8%
3 18
12.8%
4 16
11.3%
7 15
10.6%
8 11
7.8%
1 7
 
5.0%
9 4
 
2.8%
6 4
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 141
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 26
18.4%
0 19
13.5%
5 18
12.8%
3 18
12.8%
4 16
11.3%
7 15
10.6%
8 11
7.8%
1 7
 
5.0%
9 4
 
2.8%
6 4
 
2.8%

금월 누적 대형
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.847458
Minimum0
Maximum854
Zeros22
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T01:18:31.258703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median34
Q346.5
95-th percentile216.3
Maximum854
Range854
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation175.50733
Coefficient of variation (CV)2.5127232
Kurtosis15.371702
Mean69.847458
Median Absolute Deviation (MAD)26
Skewness4.0061836
Sum4121
Variance30802.821
MonotonicityNot monotonic
2023-12-11T01:18:31.428331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 22
37.3%
46 4
 
6.8%
43 4
 
6.8%
34 4
 
6.8%
79 2
 
3.4%
60 2
 
3.4%
48 2
 
3.4%
38 2
 
3.4%
47 2
 
3.4%
14 2
 
3.4%
Other values (7) 13
22.0%
ValueCountFrequency (%)
0 22
37.3%
14 2
 
3.4%
29 2
 
3.4%
33 2
 
3.4%
34 4
 
6.8%
38 2
 
3.4%
40 2
 
3.4%
43 4
 
6.8%
46 4
 
6.8%
47 2
 
3.4%
ValueCountFrequency (%)
854 2
3.4%
705 1
 
1.7%
162 2
3.4%
79 2
3.4%
60 2
3.4%
58 2
3.4%
48 2
3.4%
47 2
3.4%
46 4
6.8%
43 4
6.8%

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 자가용800620000000000610418064317354743
2감만1동 소계800620000000000610418074317354843
3감만2동 관용0000000000000000000000000
4감만2동 자가용80053000000000090153336128722314
5감만2동 소계80053000000000090153336128722314
6대연1동 관용0000000000000000000000000
7대연1동 자가용2300194000001001022001847104417643060
8대연1동 소계2300194000001001022001847104417643060
9대연3동 관용00000000000000020020193970
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
49우암1동 자가용0000000000000000000060240
50우암1동 소계0000000000000000000060240
51우암2동 관용0000000000000000000000000
52우암2동 자가용600600000000000400314881412032529
53우암2동 소계600600000000000400314881412032529
54우암동 관용0000000000000002002032310190
55우암동 자가용18847127503100210010183541413310,5324852,3706,823854
56우암동소계18847127503100210010185541433310,5644882,3806,842854
57전체 관용2002000000000003003035310220
58전체 자가용1731114031510311100101155931172610,8515252,7146,907705