Overview

Dataset statistics

Number of variables23
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory209.4 B

Variable types

Text1
Categorical9
Numeric13

Dataset

Description충청남도_논산시_외국인 등록 현황 데이터로 행정동, 성별, 0세부터 100세이상까지의 연령대 정보를 제공하고있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=387&beforeMenuCd=DOM_000000201001001000&publicdatapk=15028835

Alerts

95-99세 has constant value ""Constant
100세이상 has constant value ""Constant
10-14세 is highly imbalanced (53.5%)Imbalance
75-79세 is highly imbalanced (73.5%)Imbalance
80-84세 is highly imbalanced (53.1%)Imbalance
85-89세 is highly imbalanced (64.7%)Imbalance
90-94세 is highly imbalanced (53.1%)Imbalance
0-4세 has 23 (76.7%) zerosZeros
5-9세 has 21 (70.0%) zerosZeros
15-19세 has 21 (70.0%) zerosZeros
20-24세 has 2 (6.7%) zerosZeros
45-49세 has 2 (6.7%) zerosZeros
50-54세 has 3 (10.0%) zerosZeros
55-59세 has 6 (20.0%) zerosZeros
60-64세 has 11 (36.7%) zerosZeros
65-69세 has 19 (63.3%) zerosZeros

Reproduction

Analysis started2024-01-09 21:39:40.742477
Analysis finished2024-01-09 21:39:41.148271
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동
Text

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-10T06:39:41.238043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0666667
Min length3

Characters and Unicode

Total characters92
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강경읍
2nd row강경읍
3rd row연무읍
4th row연무읍
5th row성동면
ValueCountFrequency (%)
강경읍 2
 
6.7%
연무읍 2
 
6.7%
성동면 2
 
6.7%
광석면 2
 
6.7%
노성면 2
 
6.7%
상월면 2
 
6.7%
부적면 2
 
6.7%
연산면 2
 
6.7%
벌곡면 2
 
6.7%
양촌면 2
 
6.7%
Other values (5) 10
33.3%
2024-01-10T06:39:41.511240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 22
23.9%
동 6
 
6.5%
곡 4
 
4.3%
읍 4
 
4.3%
연 4
 
4.3%
성 4
 
4.3%
부 4
 
4.3%
은 2
 
2.2%
촌 2
 
2.2%
가 2
 
2.2%
Other values (19) 38
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 22
23.9%
동 6
 
6.5%
곡 4
 
4.3%
읍 4
 
4.3%
연 4
 
4.3%
성 4
 
4.3%
부 4
 
4.3%
은 2
 
2.2%
촌 2
 
2.2%
가 2
 
2.2%
Other values (19) 38
41.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 22
23.9%
동 6
 
6.5%
곡 4
 
4.3%
읍 4
 
4.3%
연 4
 
4.3%
성 4
 
4.3%
부 4
 
4.3%
은 2
 
2.2%
촌 2
 
2.2%
가 2
 
2.2%
Other values (19) 38
41.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 22
23.9%
동 6
 
6.5%
곡 4
 
4.3%
읍 4
 
4.3%
연 4
 
4.3%
성 4
 
4.3%
부 4
 
4.3%
은 2
 
2.2%
촌 2
 
2.2%
가 2
 
2.2%
Other values (19) 38
41.3%

성별
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
남자
15 
여자
15 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남자
2nd row여자
3rd row남자
4th row여자
5th row남자

Common Values

ValueCountFrequency (%)
남자 15
50.0%
여자 15
50.0%

Length

2024-01-10T06:39:41.607830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:39:41.682180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남자 15
50.0%
여자 15
50.0%

0-4세
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1
Minimum0
Maximum12
Zeros23
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-10T06:39:41.749301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.3
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8569335
Coefficient of variation (CV)2.5972123
Kurtosis9.7135982
Mean1.1
Median Absolute Deviation (MAD)0
Skewness3.162399
Sum33
Variance8.162069
MonotonicityNot monotonic
2024-01-10T06:39:41.842161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 23
76.7%
2 3
 
10.0%
1 1
 
3.3%
4 1
 
3.3%
10 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
0 23
76.7%
1 1
 
3.3%
2 3
 
10.0%
4 1
 
3.3%
10 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
12 1
 
3.3%
10 1
 
3.3%
4 1
 
3.3%
2 3
 
10.0%
1 1
 
3.3%
0 23
76.7%

5-9세
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3
Minimum0
Maximum14
Zeros21
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-10T06:39:41.919170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8.5
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.4255631
Coefficient of variation (CV)2.6350486
Kurtosis10.473116
Mean1.3
Median Absolute Deviation (MAD)0
Skewness3.3216038
Sum39
Variance11.734483
MonotonicityNot monotonic
2024-01-10T06:39:41.999887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 21
70.0%
1 4
 
13.3%
3 2
 
6.7%
2 1
 
3.3%
13 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
0 21
70.0%
1 4
 
13.3%
2 1
 
3.3%
3 2
 
6.7%
13 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
14 1
 
3.3%
13 1
 
3.3%
3 2
 
6.7%
2 1
 
3.3%
1 4
 
13.3%
0 21
70.0%

10-14세
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
24 
2
3 
4
 
1
10
 
1
7
 
1

Length

Max length2
Median length1
Mean length1.0333333
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
80.0%
2 3
 
10.0%
4 1
 
3.3%
10 1
 
3.3%
7 1
 
3.3%

Length

2024-01-10T06:39:42.098930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:39:42.185889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
80.0%
2 3
 
10.0%
4 1
 
3.3%
10 1
 
3.3%
7 1
 
3.3%

15-19세
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8
Minimum0
Maximum8
Zeros21
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-10T06:39:42.259418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.65
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.845778
Coefficient of variation (CV)2.3072225
Kurtosis9.2809323
Mean0.8
Median Absolute Deviation (MAD)0
Skewness3.028812
Sum24
Variance3.4068966
MonotonicityNot monotonic
2024-01-10T06:39:42.340058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 21
70.0%
1 5
 
16.7%
2 1
 
3.3%
3 1
 
3.3%
8 1
 
3.3%
6 1
 
3.3%
ValueCountFrequency (%)
0 21
70.0%
1 5
 
16.7%
2 1
 
3.3%
3 1
 
3.3%
6 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
8 1
 
3.3%
6 1
 
3.3%
3 1
 
3.3%
2 1
 
3.3%
1 5
 
16.7%
0 21
70.0%

20-24세
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.166667
Minimum0
Maximum57
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-10T06:39:42.424471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q13.25
median7
Q320
95-th percentile48.4
Maximum57
Range57
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation16.813548
Coefficient of variation (CV)1.1085856
Kurtosis0.47191633
Mean15.166667
Median Absolute Deviation (MAD)5
Skewness1.3154961
Sum455
Variance282.6954
MonotonicityNot monotonic
2024-01-10T06:39:42.502207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3 4
13.3%
7 3
 
10.0%
1 2
 
6.7%
12 2
 
6.7%
0 2
 
6.7%
6 2
 
6.7%
5 2
 
6.7%
9 2
 
6.7%
17 2
 
6.7%
41 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 2
6.7%
1 2
6.7%
3 4
13.3%
4 1
 
3.3%
5 2
6.7%
6 2
6.7%
7 3
10.0%
9 2
6.7%
12 2
6.7%
17 2
6.7%
ValueCountFrequency (%)
57 1
3.3%
52 1
3.3%
44 1
3.3%
42 1
3.3%
41 1
3.3%
38 1
3.3%
23 1
3.3%
21 1
3.3%
17 2
6.7%
12 2
6.7%

25-29세
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.566667
Minimum4
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-10T06:39:42.589475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.45
Q18.75
median26.5
Q352.25
95-th percentile98.3
Maximum103
Range99
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation30.565569
Coefficient of variation (CV)0.88424983
Kurtosis-0.027666594
Mean34.566667
Median Absolute Deviation (MAD)19
Skewness1.0150067
Sum1037
Variance934.25402
MonotonicityNot monotonic
2024-01-10T06:39:42.676859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
7 3
 
10.0%
8 2
 
6.7%
53 2
 
6.7%
13 2
 
6.7%
15 2
 
6.7%
27 1
 
3.3%
16 1
 
3.3%
11 1
 
3.3%
73 1
 
3.3%
80 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
7 3
10.0%
8 2
6.7%
11 1
 
3.3%
13 2
6.7%
15 2
6.7%
16 1
 
3.3%
26 1
 
3.3%
ValueCountFrequency (%)
103 1
3.3%
101 1
3.3%
95 1
3.3%
80 1
3.3%
73 1
3.3%
60 1
3.3%
53 2
6.7%
50 1
3.3%
43 1
3.3%
41 1
3.3%

30-34세
Real number (ℝ)

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.533333
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-10T06:39:42.762127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q17.5
median19
Q335.75
95-th percentile74.7
Maximum84
Range83
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation22.258254
Coefficient of variation (CV)0.9072658
Kurtosis1.5054681
Mean24.533333
Median Absolute Deviation (MAD)13
Skewness1.3216296
Sum736
Variance495.42989
MonotonicityNot monotonic
2024-01-10T06:39:42.843375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
30 3
 
10.0%
36 3
 
10.0%
9 2
 
6.7%
12 2
 
6.7%
1 2
 
6.7%
7 2
 
6.7%
2 2
 
6.7%
40 1
 
3.3%
20 1
 
3.3%
15 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
1 2
6.7%
2 2
6.7%
4 1
3.3%
5 1
3.3%
7 2
6.7%
9 2
6.7%
12 2
6.7%
14 1
3.3%
15 1
3.3%
18 1
3.3%
ValueCountFrequency (%)
84 1
 
3.3%
81 1
 
3.3%
67 1
 
3.3%
44 1
 
3.3%
40 1
 
3.3%
36 3
10.0%
35 1
 
3.3%
30 3
10.0%
28 1
 
3.3%
21 1
 
3.3%

35-39세
Real number (ℝ)

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.533333
Minimum2
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-10T06:39:42.926801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.45
Q15.5
median12
Q318.5
95-th percentile55.1
Maximum61
Range59
Interquartile range (IQR)13

Descriptive statistics

Standard deviation16.100403
Coefficient of variation (CV)0.97381472
Kurtosis2.2341395
Mean16.533333
Median Absolute Deviation (MAD)7
Skewness1.7047492
Sum496
Variance259.22299
MonotonicityNot monotonic
2024-01-10T06:39:43.011059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3 4
13.3%
12 3
 
10.0%
7 2
 
6.7%
2 2
 
6.7%
35 2
 
6.7%
19 2
 
6.7%
5 2
 
6.7%
13 2
 
6.7%
16 2
 
6.7%
11 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
2 2
6.7%
3 4
13.3%
5 2
6.7%
7 2
6.7%
8 1
 
3.3%
10 1
 
3.3%
11 1
 
3.3%
12 3
10.0%
13 2
6.7%
14 1
 
3.3%
ValueCountFrequency (%)
61 1
3.3%
56 1
3.3%
54 1
3.3%
35 2
6.7%
23 1
3.3%
19 2
6.7%
17 1
3.3%
16 2
6.7%
14 1
3.3%
13 2
6.7%

40-44세
Real number (ℝ)

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6666667
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-10T06:39:43.094834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.25
median7
Q311
95-th percentile32.65
Maximum36
Range35
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation9.2822906
Coefficient of variation (CV)0.96023696
Kurtosis2.8242485
Mean9.6666667
Median Absolute Deviation (MAD)4
Skewness1.7999515
Sum290
Variance86.16092
MonotonicityNot monotonic
2024-01-10T06:39:43.177895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
9 4
13.3%
1 3
10.0%
7 3
10.0%
3 3
10.0%
2 2
 
6.7%
4 2
 
6.7%
6 2
 
6.7%
11 2
 
6.7%
8 1
 
3.3%
16 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
1 3
10.0%
2 2
6.7%
3 3
10.0%
4 2
6.7%
5 1
 
3.3%
6 2
6.7%
7 3
10.0%
8 1
 
3.3%
9 4
13.3%
11 2
6.7%
ValueCountFrequency (%)
36 1
 
3.3%
34 1
 
3.3%
31 1
 
3.3%
18 1
 
3.3%
16 1
 
3.3%
14 1
 
3.3%
13 1
 
3.3%
11 2
6.7%
9 4
13.3%
8 1
 
3.3%

45-49세
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6666667
Minimum0
Maximum40
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-10T06:39:43.263127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q13
median4
Q37
95-th percentile22.9
Maximum40
Range40
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.5795801
Coefficient of variation (CV)1.286937
Kurtosis9.1651583
Mean6.6666667
Median Absolute Deviation (MAD)2
Skewness2.9517395
Sum200
Variance73.609195
MonotonicityNot monotonic
2024-01-10T06:39:43.364601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 6
20.0%
4 5
16.7%
2 4
13.3%
7 3
10.0%
5 2
 
6.7%
0 2
 
6.7%
13 2
 
6.7%
6 1
 
3.3%
1 1
 
3.3%
8 1
 
3.3%
Other values (3) 3
10.0%
ValueCountFrequency (%)
0 2
 
6.7%
1 1
 
3.3%
2 4
13.3%
3 6
20.0%
4 5
16.7%
5 2
 
6.7%
6 1
 
3.3%
7 3
10.0%
8 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
40 1
 
3.3%
31 1
 
3.3%
13 2
 
6.7%
11 1
 
3.3%
8 1
 
3.3%
7 3
10.0%
6 1
 
3.3%
5 2
 
6.7%
4 5
16.7%
3 6
20.0%

50-54세
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4333333
Minimum0
Maximum30
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-10T06:39:43.453578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3.5
Q36
95-th percentile20.8
Maximum30
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.1423136
Coefficient of variation (CV)1.3145362
Kurtosis6.9796559
Mean5.4333333
Median Absolute Deviation (MAD)2.5
Skewness2.6065889
Sum163
Variance51.012644
MonotonicityNot monotonic
2024-01-10T06:39:43.536022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 6
20.0%
5 4
13.3%
2 4
13.3%
6 3
10.0%
0 3
10.0%
12 2
 
6.7%
4 2
 
6.7%
3 2
 
6.7%
8 1
 
3.3%
7 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0 3
10.0%
1 6
20.0%
2 4
13.3%
3 2
 
6.7%
4 2
 
6.7%
5 4
13.3%
6 3
10.0%
7 1
 
3.3%
8 1
 
3.3%
12 2
 
6.7%
ValueCountFrequency (%)
30 1
 
3.3%
28 1
 
3.3%
12 2
6.7%
8 1
 
3.3%
7 1
 
3.3%
6 3
10.0%
5 4
13.3%
4 2
6.7%
3 2
6.7%
2 4
13.3%

55-59세
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8666667
Minimum0
Maximum41
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-10T06:39:43.647798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34.75
95-th percentile20.05
Maximum41
Range41
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation8.5932344
Coefficient of variation (CV)1.7657331
Kurtosis11.305107
Mean4.8666667
Median Absolute Deviation (MAD)2
Skewness3.205918
Sum146
Variance73.843678
MonotonicityNot monotonic
2024-01-10T06:39:43.749218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 7
23.3%
2 6
20.0%
0 6
20.0%
4 2
 
6.7%
6 2
 
6.7%
5 1
 
3.3%
3 1
 
3.3%
9 1
 
3.3%
25 1
 
3.3%
41 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0 6
20.0%
1 7
23.3%
2 6
20.0%
3 1
 
3.3%
4 2
 
6.7%
5 1
 
3.3%
6 2
 
6.7%
9 1
 
3.3%
10 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
41 1
 
3.3%
25 1
 
3.3%
14 1
 
3.3%
10 1
 
3.3%
9 1
 
3.3%
6 2
 
6.7%
5 1
 
3.3%
4 2
 
6.7%
3 1
 
3.3%
2 6
20.0%

60-64세
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum0
Maximum19
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-10T06:39:43.845450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33.75
95-th percentile9.3
Maximum19
Range19
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation4.0802299
Coefficient of variation (CV)1.457225
Kurtosis8.4519673
Mean2.8
Median Absolute Deviation (MAD)2
Skewness2.6476146
Sum84
Variance16.648276
MonotonicityNot monotonic
2024-01-10T06:39:43.954412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 11
36.7%
2 5
16.7%
1 3
 
10.0%
3 3
 
10.0%
5 3
 
10.0%
6 2
 
6.7%
4 1
 
3.3%
12 1
 
3.3%
19 1
 
3.3%
ValueCountFrequency (%)
0 11
36.7%
1 3
 
10.0%
2 5
16.7%
3 3
 
10.0%
4 1
 
3.3%
5 3
 
10.0%
6 2
 
6.7%
12 1
 
3.3%
19 1
 
3.3%
ValueCountFrequency (%)
19 1
 
3.3%
12 1
 
3.3%
6 2
 
6.7%
5 3
 
10.0%
4 1
 
3.3%
3 3
 
10.0%
2 5
16.7%
1 3
 
10.0%
0 11
36.7%

65-69세
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9
Minimum0
Maximum8
Zeros19
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-01-10T06:39:44.067090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.1
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7684983
Coefficient of variation (CV)1.9649981
Kurtosis9.0654588
Mean0.9
Median Absolute Deviation (MAD)0
Skewness2.8471182
Sum27
Variance3.1275862
MonotonicityNot monotonic
2024-01-10T06:39:44.180252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 19
63.3%
1 5
 
16.7%
2 3
 
10.0%
3 1
 
3.3%
8 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 19
63.3%
1 5
 
16.7%
2 3
 
10.0%
3 1
 
3.3%
5 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
8 1
 
3.3%
5 1
 
3.3%
3 1
 
3.3%
2 3
 
10.0%
1 5
 
16.7%
0 19
63.3%

70-74세
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
1
6 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row2
5th row0

Common Values

ValueCountFrequency (%)
0 22
73.3%
1 6
 
20.0%
2 2
 
6.7%

Length

2024-01-10T06:39:44.301807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:39:44.385587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
1 6
 
20.0%
2 2
 
6.7%

75-79세
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
28 
2
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
93.3%
2 1
 
3.3%
1 1
 
3.3%

Length

2024-01-10T06:39:44.466188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:39:44.542285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
2 1
 
3.3%
1 1
 
3.3%

80-84세
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
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 27
90.0%
1 3
 
10.0%

Length

2024-01-10T06:39:44.625957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:39:44.697999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 3
 
10.0%

85-89세
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
28 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

Length

2024-01-10T06:39:44.776881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:39:44.849209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

90-94세
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
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 27
90.0%
1 3
 
10.0%

Length

2024-01-10T06:39:44.923351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:39:44.998695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 3
 
10.0%

95-99세
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

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 30
100.0%

Length

2024-01-10T06:39:45.075871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:39:45.145281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

100세이상
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

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 30
100.0%

Length

2024-01-10T06:39:45.253514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:39:45.324965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

Sample

행정동성별0-4세5-9세10-14세15-19세20-24세25-29세30-34세35-39세40-44세45-49세50-54세55-59세60-64세65-69세70-74세75-79세80-84세85-89세90-94세95-99세100세이상
0강경읍남자200018452354101201000
1강경읍여자0000477103765611010100
2연무읍남자21211795816134786320000000
3연무읍여자0200741301697123522000000
4성동면남자0000235328127642200000000
5성동면여자010041101441116352200000000
6광석면남자0000930301311230000000000
7광석면여자00007131273361010000000
8노성면남자0000123921198401100000000
9노성면여자000037732411300000000
행정동성별0-4세5-9세10-14세15-19세20-24세25-29세30-34세35-39세40-44세45-49세50-54세55-59세60-64세65-69세70-74세75-79세80-84세85-89세90-94세95-99세100세이상
20가야곡면남자000062718149531200000000
21가야곡면여자000017924012330000000
22은진면남자400344603635181379600000000
23은진면여자0001525030126546200000000
24채운면남자000004121020000000000
25채운면여자000035131212000000000
26취암동남자101310857806756363130251282100100
27취암동여자12147642738454314028411951011000
28부창동남자232117111512513610511000100
29부창동여자010091620169111214520010000