Overview

Dataset statistics

Number of variables23
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory208.1 B

Variable types

Text1
Categorical7
Numeric15

Dataset

Description인천광역시 미추홀구의 동별 외국인 등록 현황에 대한 데이터로 행정동별로 외국인 0~100세이상 등록현황 등을 제공합니다.
URLhttps://www.data.go.kr/data/15085589/fileData.do

Alerts

90-94세 is highly imbalanced (66.5%)Imbalance
95-99세 is highly imbalanced (83.8%)Imbalance
100세이상 is highly imbalanced (54.6%)Imbalance
5-9세 has 1 (2.4%) zerosZeros
10-14세 has 2 (4.8%) zerosZeros
15-19세 has 5 (11.9%) zerosZeros
20-24세 has 2 (4.8%) zerosZeros
45-49세 has 1 (2.4%) zerosZeros
65-69세 has 2 (4.8%) zerosZeros
70-74세 has 8 (19.0%) zerosZeros

Reproduction

Analysis started2023-12-12 12:00:18.798136
Analysis finished2023-12-12 12:00:19.030757
Duration0.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

거주지역
Text

Distinct21
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T21:00:19.176238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.1904762
Min length3

Characters and Unicode

Total characters176
Distinct characters23
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

Unique0 ?
Unique (%)0.0%

Sample

1st row숭의2동
2nd row숭의2동
3rd row숭의1.3동
4th row숭의1.3동
5th row숭의4동
ValueCountFrequency (%)
숭의2동 2
 
4.8%
주안1동 2
 
4.8%
관교동 2
 
4.8%
주안8동 2
 
4.8%
주안7동 2
 
4.8%
주안6동 2
 
4.8%
주안5동 2
 
4.8%
주안4동 2
 
4.8%
주안3동 2
 
4.8%
주안2동 2
 
4.8%
Other values (11) 22
52.4%
2023-12-12T21:00:19.523271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 42
23.9%
안 16
 
9.1%
주 16
 
9.1%
2 10
 
5.7%
1 10
 
5.7%
3 8
 
4.5%
용 8
 
4.5%
현 8
 
4.5%
숭 6
 
3.4%
의 6
 
3.4%
Other values (13) 46
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
71.6%
Decimal Number 44
 
25.0%
Other Punctuation 6
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 42
33.3%
안 16
 
12.7%
주 16
 
12.7%
용 8
 
6.3%
현 8
 
6.3%
숭 6
 
4.8%
의 6
 
4.8%
학 6
 
4.8%
익 4
 
3.2%
도 4
 
3.2%
Other values (4) 10
 
7.9%
Decimal Number
ValueCountFrequency (%)
2 10
22.7%
1 10
22.7%
3 8
18.2%
4 6
13.6%
5 4
 
9.1%
6 2
 
4.5%
7 2
 
4.5%
8 2
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
71.6%
Common 50
 
28.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 42
33.3%
안 16
 
12.7%
주 16
 
12.7%
용 8
 
6.3%
현 8
 
6.3%
숭 6
 
4.8%
의 6
 
4.8%
학 6
 
4.8%
익 4
 
3.2%
도 4
 
3.2%
Other values (4) 10
 
7.9%
Common
ValueCountFrequency (%)
2 10
20.0%
1 10
20.0%
3 8
16.0%
4 6
12.0%
. 6
12.0%
5 4
 
8.0%
6 2
 
4.0%
7 2
 
4.0%
8 2
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
71.6%
ASCII 50
 
28.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 42
33.3%
안 16
 
12.7%
주 16
 
12.7%
용 8
 
6.3%
현 8
 
6.3%
숭 6
 
4.8%
의 6
 
4.8%
학 6
 
4.8%
익 4
 
3.2%
도 4
 
3.2%
Other values (4) 10
 
7.9%
ASCII
ValueCountFrequency (%)
2 10
20.0%
1 10
20.0%
3 8
16.0%
4 6
12.0%
. 6
12.0%
5 4
 
8.0%
6 2
 
4.0%
7 2
 
4.0%
8 2
 
4.0%

성별
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
M
21 
F
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowF
3rd rowM
4th rowF
5th rowM

Common Values

ValueCountFrequency (%)
M 21
50.0%
F 21
50.0%

Length

2023-12-12T21:00:19.651495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:19.749634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 21
50.0%
f 21
50.0%

0-4세
Real number (ℝ)

Distinct23
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.309524
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:19.843277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.05
Q14.25
median9
Q316.75
95-th percentile25.95
Maximum42
Range41
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation9.2670097
Coefficient of variation (CV)0.81939875
Kurtosis1.614153
Mean11.309524
Median Absolute Deviation (MAD)6
Skewness1.2386187
Sum475
Variance85.877468
MonotonicityNot monotonic
2023-12-12T21:00:20.248921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
6 4
 
9.5%
2 3
 
7.1%
3 3
 
7.1%
1 3
 
7.1%
17 3
 
7.1%
5 3
 
7.1%
11 2
 
4.8%
9 2
 
4.8%
10 2
 
4.8%
4 2
 
4.8%
Other values (13) 15
35.7%
ValueCountFrequency (%)
1 3
7.1%
2 3
7.1%
3 3
7.1%
4 2
4.8%
5 3
7.1%
6 4
9.5%
7 1
 
2.4%
8 1
 
2.4%
9 2
4.8%
10 2
4.8%
ValueCountFrequency (%)
42 1
 
2.4%
31 1
 
2.4%
26 1
 
2.4%
25 1
 
2.4%
24 1
 
2.4%
22 2
4.8%
20 1
 
2.4%
17 3
7.1%
16 1
 
2.4%
15 2
4.8%

5-9세
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.190476
Minimum0
Maximum33
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:20.357157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13.25
median8
Q315.5
95-th percentile27.85
Maximum33
Range33
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation8.4427429
Coefficient of variation (CV)0.82849346
Kurtosis0.2582997
Mean10.190476
Median Absolute Deviation (MAD)6
Skewness0.96820886
Sum428
Variance71.279907
MonotonicityNot monotonic
2023-12-12T21:00:20.469250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
5 6
14.3%
2 5
11.9%
11 4
 
9.5%
1 3
 
7.1%
17 2
 
4.8%
14 2
 
4.8%
10 2
 
4.8%
28 2
 
4.8%
16 2
 
4.8%
3 2
 
4.8%
Other values (11) 12
28.6%
ValueCountFrequency (%)
0 1
 
2.4%
1 3
7.1%
2 5
11.9%
3 2
 
4.8%
4 1
 
2.4%
5 6
14.3%
6 1
 
2.4%
7 2
 
4.8%
9 1
 
2.4%
10 2
 
4.8%
ValueCountFrequency (%)
33 1
2.4%
28 2
4.8%
25 1
2.4%
22 1
2.4%
20 1
2.4%
19 1
2.4%
17 2
4.8%
16 2
4.8%
14 2
4.8%
13 1
2.4%

10-14세
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.047619
Minimum0
Maximum15
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:20.603300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q38
95-th percentile11.95
Maximum15
Range15
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.9382575
Coefficient of variation (CV)0.78022083
Kurtosis-0.38623721
Mean5.047619
Median Absolute Deviation (MAD)2
Skewness0.77780834
Sum212
Variance15.509872
MonotonicityNot monotonic
2023-12-12T21:00:20.744833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2 9
21.4%
5 5
11.9%
1 5
11.9%
3 4
9.5%
9 3
 
7.1%
8 2
 
4.8%
11 2
 
4.8%
4 2
 
4.8%
6 2
 
4.8%
10 2
 
4.8%
Other values (5) 6
14.3%
ValueCountFrequency (%)
0 2
 
4.8%
1 5
11.9%
2 9
21.4%
3 4
9.5%
4 2
 
4.8%
5 5
11.9%
6 2
 
4.8%
7 1
 
2.4%
8 2
 
4.8%
9 3
 
7.1%
ValueCountFrequency (%)
15 1
 
2.4%
13 1
 
2.4%
12 1
 
2.4%
11 2
 
4.8%
10 2
 
4.8%
9 3
7.1%
8 2
 
4.8%
7 1
 
2.4%
6 2
 
4.8%
5 5
11.9%

15-19세
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.452381
Minimum0
Maximum134
Zeros5
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:20.868941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile17.9
Maximum134
Range134
Interquartile range (IQR)5

Descriptive statistics

Standard deviation22.790886
Coefficient of variation (CV)2.4111265
Kurtosis23.564096
Mean9.452381
Median Absolute Deviation (MAD)2
Skewness4.6845352
Sum397
Variance519.42451
MonotonicityNot monotonic
2023-12-12T21:00:21.003123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 7
16.7%
3 6
14.3%
4 5
11.9%
0 5
11.9%
2 4
9.5%
6 3
7.1%
16 3
7.1%
11 2
 
4.8%
5 2
 
4.8%
8 1
 
2.4%
Other values (4) 4
9.5%
ValueCountFrequency (%)
0 5
11.9%
1 7
16.7%
2 4
9.5%
3 6
14.3%
4 5
11.9%
5 2
 
4.8%
6 3
7.1%
8 1
 
2.4%
11 2
 
4.8%
14 1
 
2.4%
ValueCountFrequency (%)
134 1
 
2.4%
72 1
 
2.4%
18 1
 
2.4%
16 3
7.1%
14 1
 
2.4%
11 2
 
4.8%
8 1
 
2.4%
6 3
7.1%
5 2
 
4.8%
4 5
11.9%

20-24세
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.428571
Minimum0
Maximum678
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:21.133447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median9
Q323.5
95-th percentile86.05
Maximum678
Range678
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation129.00882
Coefficient of variation (CV)2.9037355
Kurtosis18.773798
Mean44.428571
Median Absolute Deviation (MAD)6
Skewness4.3632377
Sum1866
Variance16643.275
MonotonicityNot monotonic
2023-12-12T21:00:21.276536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
4 5
 
11.9%
15 3
 
7.1%
7 3
 
7.1%
5 2
 
4.8%
1 2
 
4.8%
0 2
 
4.8%
3 2
 
4.8%
8 2
 
4.8%
10 2
 
4.8%
30 2
 
4.8%
Other values (16) 17
40.5%
ValueCountFrequency (%)
0 2
 
4.8%
1 2
 
4.8%
2 2
 
4.8%
3 2
 
4.8%
4 5
11.9%
5 2
 
4.8%
6 1
 
2.4%
7 3
7.1%
8 2
 
4.8%
10 2
 
4.8%
ValueCountFrequency (%)
678 1
2.4%
528 1
2.4%
87 1
2.4%
68 1
2.4%
64 1
2.4%
49 1
2.4%
47 1
2.4%
30 2
4.8%
27 1
2.4%
24 1
2.4%

25-29세
Real number (ℝ)

Distinct26
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.452381
Minimum1
Maximum266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:21.427859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.05
Q19
median13
Q324.25
95-th percentile95
Maximum266
Range265
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation53.897917
Coefficient of variation (CV)1.7699081
Kurtosis13.257493
Mean30.452381
Median Absolute Deviation (MAD)6
Skewness3.5974585
Sum1279
Variance2904.9855
MonotonicityNot monotonic
2023-12-12T21:00:21.599579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
13 5
 
11.9%
9 4
 
9.5%
10 4
 
9.5%
11 3
 
7.1%
6 3
 
7.1%
7 2
 
4.8%
14 2
 
4.8%
37 1
 
2.4%
15 1
 
2.4%
3 1
 
2.4%
Other values (16) 16
38.1%
ValueCountFrequency (%)
1 1
 
2.4%
3 1
 
2.4%
4 1
 
2.4%
5 1
 
2.4%
6 3
7.1%
7 2
 
4.8%
9 4
9.5%
10 4
9.5%
11 3
7.1%
13 5
11.9%
ValueCountFrequency (%)
266 1
2.4%
237 1
2.4%
96 1
2.4%
76 1
2.4%
56 1
2.4%
51 1
2.4%
43 1
2.4%
39 1
2.4%
37 1
2.4%
33 1
2.4%

30-34세
Real number (ℝ)

Distinct30
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.595238
Minimum1
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:21.755634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q110.25
median20
Q340
95-th percentile83.9
Maximum125
Range124
Interquartile range (IQR)29.75

Descriptive statistics

Standard deviation27.781429
Coefficient of variation (CV)0.9387128
Kurtosis3.6774386
Mean29.595238
Median Absolute Deviation (MAD)11
Skewness1.8285503
Sum1243
Variance771.80778
MonotonicityNot monotonic
2023-12-12T21:00:21.915923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
9 3
 
7.1%
19 2
 
4.8%
5 2
 
4.8%
1 2
 
4.8%
51 2
 
4.8%
40 2
 
4.8%
27 2
 
4.8%
11 2
 
4.8%
8 2
 
4.8%
20 2
 
4.8%
Other values (20) 21
50.0%
ValueCountFrequency (%)
1 2
4.8%
3 1
 
2.4%
5 2
4.8%
8 2
4.8%
9 3
7.1%
10 1
 
2.4%
11 2
4.8%
13 1
 
2.4%
14 1
 
2.4%
16 1
 
2.4%
ValueCountFrequency (%)
125 1
2.4%
112 1
2.4%
85 1
2.4%
63 1
2.4%
62 1
2.4%
52 1
2.4%
51 2
4.8%
49 1
2.4%
42 1
2.4%
40 2
4.8%

35-39세
Real number (ℝ)

Distinct32
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.428571
Minimum5
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:22.056707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6.05
Q111.5
median24.5
Q341.75
95-th percentile76.6
Maximum88
Range83
Interquartile range (IQR)30.25

Descriptive statistics

Standard deviation21.632341
Coefficient of variation (CV)0.73507956
Kurtosis0.55360038
Mean29.428571
Median Absolute Deviation (MAD)15
Skewness1.048407
Sum1236
Variance467.95819
MonotonicityNot monotonic
2023-12-12T21:00:22.211442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
24 3
 
7.1%
27 3
 
7.1%
7 3
 
7.1%
48 2
 
4.8%
6 2
 
4.8%
8 2
 
4.8%
25 2
 
4.8%
13 1
 
2.4%
79 1
 
2.4%
77 1
 
2.4%
Other values (22) 22
52.4%
ValueCountFrequency (%)
5 1
 
2.4%
6 2
4.8%
7 3
7.1%
8 2
4.8%
9 1
 
2.4%
10 1
 
2.4%
11 1
 
2.4%
13 1
 
2.4%
14 1
 
2.4%
15 1
 
2.4%
ValueCountFrequency (%)
88 1
2.4%
79 1
2.4%
77 1
2.4%
69 1
2.4%
55 1
2.4%
54 1
2.4%
48 2
4.8%
44 1
2.4%
43 1
2.4%
42 1
2.4%

40-44세
Real number (ℝ)

Distinct30
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.547619
Minimum4
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:22.358802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.05
Q111.25
median20.5
Q329.75
95-th percentile44.85
Maximum60
Range56
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation13.972451
Coefficient of variation (CV)0.61968631
Kurtosis0.40150593
Mean22.547619
Median Absolute Deviation (MAD)9.5
Skewness0.8474833
Sum947
Variance195.22938
MonotonicityNot monotonic
2023-12-12T21:00:22.554351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
27 4
 
9.5%
8 4
 
9.5%
16 3
 
7.1%
4 2
 
4.8%
31 2
 
4.8%
28 2
 
4.8%
13 2
 
4.8%
20 1
 
2.4%
30 1
 
2.4%
7 1
 
2.4%
Other values (20) 20
47.6%
ValueCountFrequency (%)
4 2
4.8%
6 1
 
2.4%
7 1
 
2.4%
8 4
9.5%
9 1
 
2.4%
10 1
 
2.4%
11 1
 
2.4%
12 1
 
2.4%
13 2
4.8%
14 1
 
2.4%
ValueCountFrequency (%)
60 1
2.4%
58 1
2.4%
45 1
2.4%
42 1
2.4%
41 1
2.4%
40 1
2.4%
38 1
2.4%
32 1
2.4%
31 2
4.8%
30 1
2.4%

45-49세
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.452381
Minimum0
Maximum38
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:22.719798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17.25
median13.5
Q319.75
95-th percentile31.75
Maximum38
Range38
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation9.1443769
Coefficient of variation (CV)0.63272459
Kurtosis0.098069111
Mean14.452381
Median Absolute Deviation (MAD)6.5
Skewness0.72846364
Sum607
Variance83.619628
MonotonicityNot monotonic
2023-12-12T21:00:22.924523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
15 4
 
9.5%
6 4
 
9.5%
11 3
 
7.1%
26 2
 
4.8%
17 2
 
4.8%
21 2
 
4.8%
16 2
 
4.8%
27 2
 
4.8%
12 2
 
4.8%
8 2
 
4.8%
Other values (16) 17
40.5%
ValueCountFrequency (%)
0 1
 
2.4%
2 1
 
2.4%
3 2
4.8%
4 1
 
2.4%
5 1
 
2.4%
6 4
9.5%
7 1
 
2.4%
8 2
4.8%
9 1
 
2.4%
10 1
 
2.4%
ValueCountFrequency (%)
38 1
2.4%
35 1
2.4%
32 1
2.4%
27 2
4.8%
26 2
4.8%
22 1
2.4%
21 2
4.8%
20 1
2.4%
19 1
2.4%
17 2
4.8%

50-54세
Real number (ℝ)

Distinct26
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.047619
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:23.090931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.05
Q110
median14
Q321.75
95-th percentile36.7
Maximum47
Range46
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation10.494952
Coefficient of variation (CV)0.65398811
Kurtosis1.2776681
Mean16.047619
Median Absolute Deviation (MAD)7
Skewness1.1366392
Sum674
Variance110.14402
MonotonicityNot monotonic
2023-12-12T21:00:23.230500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
10 5
 
11.9%
22 3
 
7.1%
11 3
 
7.1%
5 3
 
7.1%
14 3
 
7.1%
16 2
 
4.8%
6 2
 
4.8%
19 2
 
4.8%
21 2
 
4.8%
15 1
 
2.4%
Other values (16) 16
38.1%
ValueCountFrequency (%)
1 1
 
2.4%
3 1
 
2.4%
4 1
 
2.4%
5 3
7.1%
6 2
 
4.8%
7 1
 
2.4%
8 1
 
2.4%
10 5
11.9%
11 3
7.1%
12 1
 
2.4%
ValueCountFrequency (%)
47 1
 
2.4%
43 1
 
2.4%
37 1
 
2.4%
31 1
 
2.4%
30 1
 
2.4%
26 1
 
2.4%
25 1
 
2.4%
24 1
 
2.4%
22 3
7.1%
21 2
4.8%

55-59세
Real number (ℝ)

Distinct21
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.738095
Minimum2
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:23.383338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median12.5
Q317
95-th percentile36.85
Maximum44
Range42
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.29814
Coefficient of variation (CV)0.69874293
Kurtosis1.7763473
Mean14.738095
Median Absolute Deviation (MAD)4.5
Skewness1.4923139
Sum619
Variance106.05168
MonotonicityNot monotonic
2023-12-12T21:00:23.539220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
6 5
11.9%
11 4
 
9.5%
5 4
 
9.5%
14 4
 
9.5%
17 3
 
7.1%
9 3
 
7.1%
8 3
 
7.1%
16 2
 
4.8%
15 2
 
4.8%
13 1
 
2.4%
Other values (11) 11
26.2%
ValueCountFrequency (%)
2 1
 
2.4%
5 4
9.5%
6 5
11.9%
8 3
7.1%
9 3
7.1%
11 4
9.5%
12 1
 
2.4%
13 1
 
2.4%
14 4
9.5%
15 2
 
4.8%
ValueCountFrequency (%)
44 1
 
2.4%
43 1
 
2.4%
37 1
 
2.4%
34 1
 
2.4%
33 1
 
2.4%
27 1
 
2.4%
23 1
 
2.4%
19 1
 
2.4%
18 1
 
2.4%
17 3
7.1%

60-64세
Real number (ℝ)

Distinct19
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.52381
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:23.672020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14.25
median9
Q315
95-th percentile21.95
Maximum32
Range31
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation7.7056777
Coefficient of variation (CV)0.73221371
Kurtosis1.064934
Mean10.52381
Median Absolute Deviation (MAD)5
Skewness1.1186819
Sum442
Variance59.377468
MonotonicityNot monotonic
2023-12-12T21:00:23.809299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
4 4
 
9.5%
10 3
 
7.1%
7 3
 
7.1%
9 3
 
7.1%
8 3
 
7.1%
2 3
 
7.1%
15 3
 
7.1%
5 2
 
4.8%
32 2
 
4.8%
11 2
 
4.8%
Other values (9) 14
33.3%
ValueCountFrequency (%)
1 2
4.8%
2 3
7.1%
3 2
4.8%
4 4
9.5%
5 2
4.8%
6 1
 
2.4%
7 3
7.1%
8 3
7.1%
9 3
7.1%
10 3
7.1%
ValueCountFrequency (%)
32 2
4.8%
22 1
 
2.4%
21 2
4.8%
20 2
4.8%
17 2
4.8%
15 3
7.1%
13 1
 
2.4%
12 1
 
2.4%
11 2
4.8%
10 3
7.1%

65-69세
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5
Minimum0
Maximum19
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:23.969095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q36.75
95-th percentile14.95
Maximum19
Range19
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation4.4241576
Coefficient of variation (CV)0.8043923
Kurtosis1.3940046
Mean5.5
Median Absolute Deviation (MAD)2
Skewness1.2740585
Sum231
Variance19.573171
MonotonicityNot monotonic
2023-12-12T21:00:24.114929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
6 6
14.3%
5 5
11.9%
4 5
11.9%
1 5
11.9%
2 5
11.9%
7 3
7.1%
3 3
7.1%
15 2
 
4.8%
0 2
 
4.8%
9 1
 
2.4%
Other values (5) 5
11.9%
ValueCountFrequency (%)
0 2
 
4.8%
1 5
11.9%
2 5
11.9%
3 3
7.1%
4 5
11.9%
5 5
11.9%
6 6
14.3%
7 3
7.1%
9 1
 
2.4%
10 1
 
2.4%
ValueCountFrequency (%)
19 1
 
2.4%
15 2
 
4.8%
14 1
 
2.4%
12 1
 
2.4%
11 1
 
2.4%
10 1
 
2.4%
9 1
 
2.4%
7 3
7.1%
6 6
14.3%
5 5
11.9%

70-74세
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9285714
Minimum0
Maximum6
Zeros8
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T21:00:24.273159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4548968
Coefficient of variation (CV)0.75439094
Kurtosis-0.1018255
Mean1.9285714
Median Absolute Deviation (MAD)1
Skewness0.47909723
Sum81
Variance2.1167247
MonotonicityNot monotonic
2023-12-12T21:00:24.430122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 10
23.8%
3 9
21.4%
2 9
21.4%
0 8
19.0%
4 5
11.9%
6 1
 
2.4%
ValueCountFrequency (%)
0 8
19.0%
1 10
23.8%
2 9
21.4%
3 9
21.4%
4 5
11.9%
6 1
 
2.4%
ValueCountFrequency (%)
6 1
 
2.4%
4 5
11.9%
3 9
21.4%
2 9
21.4%
1 10
23.8%
0 8
19.0%

75-79세
Categorical

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
18 
1
17 
2
3 
3
2 
4
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 row3

Common Values

ValueCountFrequency (%)
0 18
42.9%
1 17
40.5%
2 3
 
7.1%
3 2
 
4.8%
4 2
 
4.8%

Length

2023-12-12T21:00:24.603685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:24.733443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
42.9%
1 17
40.5%
2 3
 
7.1%
3 2
 
4.8%
4 2
 
4.8%

80-84세
Categorical

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
30 
1
9 
4
 
1
3
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)7.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
71.4%
1 9
 
21.4%
4 1
 
2.4%
3 1
 
2.4%
2 1
 
2.4%

Length

2023-12-12T21:00:24.866618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:24.996299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
71.4%
1 9
 
21.4%
4 1
 
2.4%
3 1
 
2.4%
2 1
 
2.4%

85-89세
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
32 
1
7 
2
 
3

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 32
76.2%
1 7
 
16.7%
2 3
 
7.1%

Length

2023-12-12T21:00:25.158370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:25.293942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
76.2%
1 7
 
16.7%
2 3
 
7.1%

90-94세
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
38 
1
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 38
90.5%
1 3
 
7.1%
2 1
 
2.4%

Length

2023-12-12T21:00:25.421540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:25.559207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
90.5%
1 3
 
7.1%
2 1
 
2.4%

95-99세
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
41 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 41
97.6%
1 1
 
2.4%

Length

2023-12-12T21:00:25.726032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:25.852138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 41
97.6%
1 1
 
2.4%

100세이상
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
38 
1
4 

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 38
90.5%
1 4
 
9.5%

Length

2023-12-12T21:00:25.973679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:00:26.108541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
90.5%
1 4
 
9.5%

Sample

거주지역성별0-4세5-9세10-14세15-19세20-24세25-29세30-34세35-39세40-44세45-49세50-54세55-59세60-64세65-69세70-74세75-79세80-84세85-89세90-94세95-99세100세이상
0숭의2동M111184491921201922131054111000
1숭의2동F26111137102741261726141554001000
2숭의1.3동M2516581772739312114191273000000
3숭의1.3동F161712630222444271621161750002000
4숭의4동M2214222112824271715172042300000
5숭의4동F15168117133627311422271592101000
6용현1.4동M17521346782661255428151011361101000
7용현1.4동F121137252823762271291214933110000
8용현2동M1455310119152261691043200001
9용현2동F9542513202414121411863411200
거주지역성별0-4세5-9세10-14세15-19세20-24세25-29세30-34세35-39세40-44세45-49세50-54세55-59세60-64세65-69세70-74세75-79세80-84세85-89세90-94세95-99세100세이상
32주안6동M2028966142838291116181162200000
33주안6동F17199415255142281219232150100000
34주안7동M313123178365122002001
35주안7동F240041011181178771100100
36주안8동M23531658410115620000000
37주안8동F11033691916151911843000000
38관교동M60201314886669200100000
39관교동F1211159107101119411000000
40문학동M795510152016166105511110000
41문학동F10721813302516151011721100000