Overview

Dataset statistics

Number of variables22
Number of observations2968
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory571.1 KiB
Average record size in memory197.0 B

Variable types

Categorical1
Numeric21

Dataset

Description경기도 용인시 관내 연령별, 등급별 등록 장애인 정보
Author경기도 용인시
URLhttps://www.data.go.kr/data/15050970/fileData.do

Alerts

남성 has 193 (6.5%) zerosZeros
여성 has 314 (10.6%) zerosZeros
1급 has 1233 (41.5%) zerosZeros
남성.1 has 1777 (59.9%) zerosZeros
여성.1 has 1922 (64.8%) zerosZeros
2급 has 794 (26.8%) zerosZeros
남성.2 has 1283 (43.2%) zerosZeros
여성.2 has 1561 (52.6%) zerosZeros
3급 has 739 (24.9%) zerosZeros
남성.3 has 1141 (38.4%) zerosZeros
여성.3 has 1472 (49.6%) zerosZeros
4급 has 1173 (39.5%) zerosZeros
남성.4 has 1525 (51.4%) zerosZeros
여성.4 has 1768 (59.6%) zerosZeros
5급 has 956 (32.2%) zerosZeros
남성.5 has 1291 (43.5%) zerosZeros
여성.5 has 1450 (48.9%) zerosZeros
6급 has 882 (29.7%) zerosZeros
남성.6 has 1115 (37.6%) zerosZeros
여성.6 has 1462 (49.3%) zerosZeros

Reproduction

Analysis started2023-12-12 22:05:48.595079
Analysis finished2023-12-12 22:05:48.795600
Duration0.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct32
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size23.3 KiB
연령별 현황
 
103
경기도 용인시 수지구 풍덕천2동
 
98
경기도 용인시 처인구 포곡읍
 
98
경기도 용인시 수지구 상현1동
 
98
경기도 용인시 수지구 죽전1동
 
97
Other values (27)
2474 

Length

Max length17
Median length15
Mean length14.941375
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연령별 현황
2nd row연령별 현황
3rd row연령별 현황
4th row연령별 현황
5th row연령별 현황

Common Values

ValueCountFrequency (%)
연령별 현황 103
 
3.5%
경기도 용인시 수지구 풍덕천2동 98
 
3.3%
경기도 용인시 처인구 포곡읍 98
 
3.3%
경기도 용인시 수지구 상현1동 98
 
3.3%
경기도 용인시 수지구 죽전1동 97
 
3.3%
경기도 용인시 기흥구 구성동 97
 
3.3%
경기도 용인시 기흥구 신갈동 97
 
3.3%
경기도 용인시 기흥구 동백동 96
 
3.2%
경기도 용인시 기흥구 상갈동 96
 
3.2%
경기도 용인시 기흥구 구갈동 95
 
3.2%
Other values (22) 1993
67.1%

Length

2023-12-13T07:05:48.874713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 2865
24.6%
용인시 2865
24.6%
기흥구 1029
 
8.8%
처인구 997
 
8.5%
수지구 839
 
7.2%
현황 103
 
0.9%
연령별 103
 
0.9%
포곡읍 98
 
0.8%
상현1동 98
 
0.8%
풍덕천2동 98
 
0.8%
Other values (28) 2571
22.0%

나이
Real number (ℝ)

Distinct103
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.400606
Minimum1
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:49.021002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.35
Q127
median51
Q374
95-th percentile92
Maximum103
Range102
Interquartile range (IQR)47

Descriptive statistics

Standard deviation27.194953
Coefficient of variation (CV)0.5395759
Kurtosis-1.1597023
Mean50.400606
Median Absolute Deviation (MAD)23
Skewness-0.015468624
Sum149589
Variance739.56545
MonotonicityNot monotonic
2023-12-13T07:05:49.205142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53 32
 
1.1%
45 32
 
1.1%
67 32
 
1.1%
66 32
 
1.1%
65 32
 
1.1%
64 32
 
1.1%
63 32
 
1.1%
62 32
 
1.1%
61 32
 
1.1%
60 32
 
1.1%
Other values (93) 2648
89.2%
ValueCountFrequency (%)
1 9
 
0.3%
2 12
 
0.4%
3 22
0.7%
4 22
0.7%
5 26
0.9%
6 30
1.0%
7 28
0.9%
8 31
1.0%
9 29
1.0%
10 29
1.0%
ValueCountFrequency (%)
103 3
 
0.1%
102 3
 
0.1%
101 2
 
0.1%
100 6
 
0.2%
99 6
 
0.2%
98 13
0.4%
97 13
0.4%
96 22
0.7%
95 25
0.8%
94 24
0.8%

남성
Real number (ℝ)

ZEROS 

Distinct111
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.541779
Minimum0
Maximum500
Zeros193
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:49.368437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q311
95-th percentile23
Maximum500
Range500
Interquartile range (IQR)9

Descriptive statistics

Standard deviation44.990861
Coefficient of variation (CV)3.3223745
Kurtosis60.181567
Mean13.541779
Median Absolute Deviation (MAD)4
Skewness7.5682911
Sum40192
Variance2024.1776
MonotonicityNot monotonic
2023-12-13T07:05:49.543522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 335
 
11.3%
2 310
 
10.4%
4 236
 
8.0%
3 217
 
7.3%
0 193
 
6.5%
5 184
 
6.2%
7 155
 
5.2%
6 147
 
5.0%
8 134
 
4.5%
10 126
 
4.2%
Other values (101) 931
31.4%
ValueCountFrequency (%)
0 193
6.5%
1 335
11.3%
2 310
10.4%
3 217
7.3%
4 236
8.0%
5 184
6.2%
6 147
5.0%
7 155
5.2%
8 134
 
4.5%
9 126
 
4.2%
ValueCountFrequency (%)
500 1
< 0.1%
451 1
< 0.1%
442 1
< 0.1%
439 1
< 0.1%
437 1
< 0.1%
431 2
0.1%
424 1
< 0.1%
418 1
< 0.1%
417 2
0.1%
416 1
< 0.1%

여성
Real number (ℝ)

ZEROS 

Distinct106
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8247978
Minimum0
Maximum433
Zeros314
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:49.715941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q38
95-th percentile19
Maximum433
Range433
Interquartile range (IQR)7

Descriptive statistics

Standard deviation34.423789
Coefficient of variation (CV)3.5037657
Kurtosis75.093363
Mean9.8247978
Median Absolute Deviation (MAD)3
Skewness8.3112325
Sum29160
Variance1184.9973
MonotonicityNot monotonic
2023-12-13T07:05:49.877906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 518
17.5%
2 385
13.0%
0 314
10.6%
3 259
8.7%
4 203
 
6.8%
5 192
 
6.5%
6 162
 
5.5%
7 126
 
4.2%
8 108
 
3.6%
9 93
 
3.1%
Other values (96) 608
20.5%
ValueCountFrequency (%)
0 314
10.6%
1 518
17.5%
2 385
13.0%
3 259
8.7%
4 203
 
6.8%
5 192
 
6.5%
6 162
 
5.5%
7 126
 
4.2%
8 108
 
3.6%
9 93
 
3.1%
ValueCountFrequency (%)
433 1
< 0.1%
429 1
< 0.1%
410 1
< 0.1%
398 1
< 0.1%
366 1
< 0.1%
363 1
< 0.1%
348 1
< 0.1%
347 1
< 0.1%
343 1
< 0.1%
338 1
< 0.1%

1급
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8820755
Minimum0
Maximum52
Zeros1233
Zeros (%)41.5%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:50.034575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum52
Range52
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.5413002
Coefficient of variation (CV)2.9442497
Kurtosis37.327376
Mean1.8820755
Median Absolute Deviation (MAD)1
Skewness5.9490714
Sum5586
Variance30.706008
MonotonicityNot monotonic
2023-12-13T07:05:50.207940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 1233
41.5%
1 926
31.2%
2 435
 
14.7%
3 166
 
5.6%
4 81
 
2.7%
5 28
 
0.9%
6 6
 
0.2%
38 5
 
0.2%
35 5
 
0.2%
26 4
 
0.1%
Other values (36) 79
 
2.7%
ValueCountFrequency (%)
0 1233
41.5%
1 926
31.2%
2 435
 
14.7%
3 166
 
5.6%
4 81
 
2.7%
5 28
 
0.9%
6 6
 
0.2%
7 3
 
0.1%
9 2
 
0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
52 1
 
< 0.1%
50 1
 
< 0.1%
49 1
 
< 0.1%
48 1
 
< 0.1%
47 3
0.1%
45 1
 
< 0.1%
44 1
 
< 0.1%
43 4
0.1%
42 3
0.1%
41 2
0.1%

남성.1
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0404313
Minimum0
Maximum33
Zeros1777
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:50.354233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum33
Range33
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.1675569
Coefficient of variation (CV)3.0444654
Kurtosis37.697119
Mean1.0404313
Median Absolute Deviation (MAD)0
Skewness5.9081989
Sum3088
Variance10.033417
MonotonicityNot monotonic
2023-12-13T07:05:50.487900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 1777
59.9%
1 759
25.6%
2 259
 
8.7%
3 66
 
2.2%
4 14
 
0.5%
21 8
 
0.3%
5 8
 
0.3%
16 7
 
0.2%
15 6
 
0.2%
24 6
 
0.2%
Other values (20) 58
 
2.0%
ValueCountFrequency (%)
0 1777
59.9%
1 759
25.6%
2 259
 
8.7%
3 66
 
2.2%
4 14
 
0.5%
5 8
 
0.3%
6 3
 
0.1%
7 1
 
< 0.1%
8 4
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
33 1
 
< 0.1%
28 1
 
< 0.1%
27 2
 
0.1%
26 4
0.1%
25 4
0.1%
24 6
0.2%
23 3
 
0.1%
22 5
0.2%
21 8
0.3%
20 4
0.1%

여성.1
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8416442
Minimum0
Maximum28
Zeros1922
Zeros (%)64.8%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:50.634123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum28
Range28
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.5773882
Coefficient of variation (CV)3.0623251
Kurtosis41.891582
Mean0.8416442
Median Absolute Deviation (MAD)0
Skewness6.0766124
Sum2498
Variance6.6429298
MonotonicityNot monotonic
2023-12-13T07:05:50.779927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 1922
64.8%
1 716
 
24.1%
2 185
 
6.2%
3 45
 
1.5%
4 10
 
0.3%
10 10
 
0.3%
12 8
 
0.3%
13 8
 
0.3%
7 8
 
0.3%
20 6
 
0.2%
Other values (17) 50
 
1.7%
ValueCountFrequency (%)
0 1922
64.8%
1 716
 
24.1%
2 185
 
6.2%
3 45
 
1.5%
4 10
 
0.3%
5 3
 
0.1%
6 3
 
0.1%
7 8
 
0.3%
8 3
 
0.1%
9 5
 
0.2%
ValueCountFrequency (%)
28 1
 
< 0.1%
26 2
 
0.1%
25 1
 
< 0.1%
23 2
 
0.1%
22 4
0.1%
21 2
 
0.1%
20 6
0.2%
19 3
0.1%
18 1
 
< 0.1%
17 6
0.2%

2급
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.222372
Minimum0
Maximum112
Zeros794
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:50.925726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum112
Range112
Interquartile range (IQR)3

Descriptive statistics

Standard deviation9.8482458
Coefficient of variation (CV)3.0562101
Kurtosis50.243942
Mean3.222372
Median Absolute Deviation (MAD)1
Skewness6.7769259
Sum9564
Variance96.987946
MonotonicityNot monotonic
2023-12-13T07:05:51.068021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 814
27.4%
0 794
26.8%
2 571
19.2%
3 313
 
10.5%
4 188
 
6.3%
5 109
 
3.7%
6 44
 
1.5%
8 17
 
0.6%
7 17
 
0.6%
9 8
 
0.3%
Other values (57) 93
 
3.1%
ValueCountFrequency (%)
0 794
26.8%
1 814
27.4%
2 571
19.2%
3 313
 
10.5%
4 188
 
6.3%
5 109
 
3.7%
6 44
 
1.5%
7 17
 
0.6%
8 17
 
0.6%
9 8
 
0.3%
ValueCountFrequency (%)
112 1
< 0.1%
100 1
< 0.1%
97 1
< 0.1%
96 2
0.1%
93 2
0.1%
91 1
< 0.1%
89 2
0.1%
88 1
< 0.1%
84 1
< 0.1%
83 2
0.1%

남성.2
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8477089
Minimum0
Maximum59
Zeros1283
Zeros (%)43.2%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:51.190262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum59
Range59
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.6661164
Coefficient of variation (CV)3.0665634
Kurtosis46.421123
Mean1.8477089
Median Absolute Deviation (MAD)1
Skewness6.5015751
Sum5484
Variance32.104875
MonotonicityNot monotonic
2023-12-13T07:05:51.354444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 1283
43.2%
1 888
29.9%
2 419
 
14.1%
3 180
 
6.1%
4 74
 
2.5%
5 21
 
0.7%
6 12
 
0.4%
25 6
 
0.2%
38 5
 
0.2%
22 4
 
0.1%
Other values (38) 76
 
2.6%
ValueCountFrequency (%)
0 1283
43.2%
1 888
29.9%
2 419
 
14.1%
3 180
 
6.1%
4 74
 
2.5%
5 21
 
0.7%
6 12
 
0.4%
7 3
 
0.1%
8 2
 
0.1%
10 2
 
0.1%
ValueCountFrequency (%)
59 1
 
< 0.1%
57 2
0.1%
56 1
 
< 0.1%
54 2
0.1%
53 2
0.1%
50 3
0.1%
49 1
 
< 0.1%
47 1
 
< 0.1%
46 1
 
< 0.1%
44 2
0.1%

여성.2
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3746631
Minimum0
Maximum57
Zeros1561
Zeros (%)52.6%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:51.495810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum57
Range57
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.426434
Coefficient of variation (CV)3.2200138
Kurtosis58.878076
Mean1.3746631
Median Absolute Deviation (MAD)0
Skewness7.1701558
Sum4080
Variance19.593318
MonotonicityNot monotonic
2023-12-13T07:05:51.623260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 1561
52.6%
1 845
28.5%
2 300
 
10.1%
3 108
 
3.6%
4 42
 
1.4%
5 14
 
0.5%
6 8
 
0.3%
13 8
 
0.3%
7 6
 
0.2%
16 6
 
0.2%
Other values (35) 70
 
2.4%
ValueCountFrequency (%)
0 1561
52.6%
1 845
28.5%
2 300
 
10.1%
3 108
 
3.6%
4 42
 
1.4%
5 14
 
0.5%
6 8
 
0.3%
7 6
 
0.2%
8 4
 
0.1%
10 4
 
0.1%
ValueCountFrequency (%)
57 1
 
< 0.1%
53 1
 
< 0.1%
47 1
 
< 0.1%
46 1
 
< 0.1%
45 1
 
< 0.1%
44 1
 
< 0.1%
43 2
0.1%
41 1
 
< 0.1%
39 2
0.1%
38 3
0.1%

3급
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9831536
Minimum0
Maximum138
Zeros739
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:51.742235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile8
Maximum138
Range138
Interquartile range (IQR)2

Descriptive statistics

Standard deviation12.724945
Coefficient of variation (CV)3.1946909
Kurtosis54.37392
Mean3.9831536
Median Absolute Deviation (MAD)1
Skewness7.0991607
Sum11822
Variance161.92422
MonotonicityNot monotonic
2023-12-13T07:05:51.880308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 739
24.9%
1 698
23.5%
2 543
18.3%
3 336
11.3%
4 226
 
7.6%
5 132
 
4.4%
6 87
 
2.9%
7 52
 
1.8%
8 23
 
0.8%
9 12
 
0.4%
Other values (68) 120
 
4.0%
ValueCountFrequency (%)
0 739
24.9%
1 698
23.5%
2 543
18.3%
3 336
11.3%
4 226
 
7.6%
5 132
 
4.4%
6 87
 
2.9%
7 52
 
1.8%
8 23
 
0.8%
9 12
 
0.4%
ValueCountFrequency (%)
138 1
 
< 0.1%
133 1
 
< 0.1%
132 1
 
< 0.1%
131 1
 
< 0.1%
119 2
0.1%
115 3
0.1%
114 1
 
< 0.1%
113 2
0.1%
109 1
 
< 0.1%
108 1
 
< 0.1%

남성.3
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2567385
Minimum0
Maximum74
Zeros1141
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:52.033373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum74
Range74
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.132488
Coefficient of variation (CV)3.1605292
Kurtosis50.853521
Mean2.2567385
Median Absolute Deviation (MAD)1
Skewness6.8532369
Sum6698
Variance50.872385
MonotonicityNot monotonic
2023-12-13T07:05:52.163234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1141
38.4%
1 860
29.0%
2 450
 
15.2%
3 236
 
8.0%
4 106
 
3.6%
5 52
 
1.8%
6 27
 
0.9%
7 8
 
0.3%
17 7
 
0.2%
53 5
 
0.2%
Other values (43) 76
 
2.6%
ValueCountFrequency (%)
0 1141
38.4%
1 860
29.0%
2 450
 
15.2%
3 236
 
8.0%
4 106
 
3.6%
5 52
 
1.8%
6 27
 
0.9%
7 8
 
0.3%
8 1
 
< 0.1%
9 2
 
0.1%
ValueCountFrequency (%)
74 1
 
< 0.1%
73 1
 
< 0.1%
72 2
0.1%
71 1
 
< 0.1%
67 3
0.1%
63 3
0.1%
61 1
 
< 0.1%
60 1
 
< 0.1%
58 2
0.1%
57 1
 
< 0.1%

여성.3
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7264151
Minimum0
Maximum70
Zeros1472
Zeros (%)49.6%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:52.304295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum70
Range70
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.8759175
Coefficient of variation (CV)3.4035369
Kurtosis58.472056
Mean1.7264151
Median Absolute Deviation (MAD)1
Skewness7.2515273
Sum5124
Variance34.526407
MonotonicityNot monotonic
2023-12-13T07:05:52.441685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 1472
49.6%
1 814
27.4%
2 347
 
11.7%
3 142
 
4.8%
4 51
 
1.7%
5 22
 
0.7%
7 10
 
0.3%
8 9
 
0.3%
6 8
 
0.3%
9 7
 
0.2%
Other values (38) 86
 
2.9%
ValueCountFrequency (%)
0 1472
49.6%
1 814
27.4%
2 347
 
11.7%
3 142
 
4.8%
4 51
 
1.7%
5 22
 
0.7%
6 8
 
0.3%
7 10
 
0.3%
8 9
 
0.3%
9 7
 
0.2%
ValueCountFrequency (%)
70 1
 
< 0.1%
65 1
 
< 0.1%
62 1
 
< 0.1%
60 1
 
< 0.1%
59 2
0.1%
58 1
 
< 0.1%
57 2
0.1%
54 3
0.1%
52 2
0.1%
51 1
 
< 0.1%

4급
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2338275
Minimum0
Maximum168
Zeros1173
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:52.593403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7
Maximum168
Range168
Interquartile range (IQR)3

Descriptive statistics

Standard deviation12.32114
Coefficient of variation (CV)3.8100795
Kurtosis86.674664
Mean3.2338275
Median Absolute Deviation (MAD)1
Skewness8.8252739
Sum9598
Variance151.81049
MonotonicityNot monotonic
2023-12-13T07:05:52.733226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1173
39.5%
1 620
20.9%
2 331
 
11.2%
3 243
 
8.2%
4 179
 
6.0%
5 155
 
5.2%
6 92
 
3.1%
7 45
 
1.5%
8 31
 
1.0%
9 17
 
0.6%
Other values (55) 82
 
2.8%
ValueCountFrequency (%)
0 1173
39.5%
1 620
20.9%
2 331
 
11.2%
3 243
 
8.2%
4 179
 
6.0%
5 155
 
5.2%
6 92
 
3.1%
7 45
 
1.5%
8 31
 
1.0%
9 17
 
0.6%
ValueCountFrequency (%)
168 2
0.1%
162 1
< 0.1%
144 1
< 0.1%
141 1
< 0.1%
140 1
< 0.1%
137 1
< 0.1%
132 1
< 0.1%
131 1
< 0.1%
129 1
< 0.1%
126 1
< 0.1%

남성.4
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7493261
Minimum0
Maximum80
Zeros1525
Zeros (%)51.4%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:53.184855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum80
Range80
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.4607263
Coefficient of variation (CV)3.6932657
Kurtosis69.391349
Mean1.7493261
Median Absolute Deviation (MAD)0
Skewness8.0257803
Sum5192
Variance41.740984
MonotonicityNot monotonic
2023-12-13T07:05:53.315459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 1525
51.4%
1 683
23.0%
2 331
 
11.2%
3 203
 
6.8%
4 101
 
3.4%
5 35
 
1.2%
6 15
 
0.5%
7 14
 
0.5%
56 5
 
0.2%
10 4
 
0.1%
Other values (36) 52
 
1.8%
ValueCountFrequency (%)
0 1525
51.4%
1 683
23.0%
2 331
 
11.2%
3 203
 
6.8%
4 101
 
3.4%
5 35
 
1.2%
6 15
 
0.5%
7 14
 
0.5%
8 3
 
0.1%
10 4
 
0.1%
ValueCountFrequency (%)
80 1
 
< 0.1%
74 1
 
< 0.1%
73 1
 
< 0.1%
71 1
 
< 0.1%
68 1
 
< 0.1%
65 1
 
< 0.1%
64 1
 
< 0.1%
63 1
 
< 0.1%
62 3
0.1%
59 1
 
< 0.1%

여성.4
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4845013
Minimum0
Maximum95
Zeros1768
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:53.430737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum95
Range95
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.312748
Coefficient of variation (CV)4.2524367
Kurtosis117.2704
Mean1.4845013
Median Absolute Deviation (MAD)0
Skewness10.149754
Sum4406
Variance39.850788
MonotonicityNot monotonic
2023-12-13T07:05:53.551898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 1768
59.6%
1 532
 
17.9%
2 326
 
11.0%
3 150
 
5.1%
4 69
 
2.3%
5 43
 
1.4%
6 16
 
0.5%
7 6
 
0.2%
8 4
 
0.1%
17 3
 
0.1%
Other values (36) 51
 
1.7%
ValueCountFrequency (%)
0 1768
59.6%
1 532
 
17.9%
2 326
 
11.0%
3 150
 
5.1%
4 69
 
2.3%
5 43
 
1.4%
6 16
 
0.5%
7 6
 
0.2%
8 4
 
0.1%
9 3
 
0.1%
ValueCountFrequency (%)
95 1
< 0.1%
94 1
< 0.1%
88 2
0.1%
87 1
< 0.1%
85 1
< 0.1%
73 1
< 0.1%
72 2
0.1%
71 1
< 0.1%
66 1
< 0.1%
64 1
< 0.1%

5급
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1826146
Minimum0
Maximum231
Zeros956
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:53.675889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile11
Maximum231
Range231
Interquartile range (IQR)5

Descriptive statistics

Standard deviation19.422944
Coefficient of variation (CV)3.7477115
Kurtosis74.229196
Mean5.1826146
Median Absolute Deviation (MAD)2
Skewness8.3345843
Sum15382
Variance377.25077
MonotonicityNot monotonic
2023-12-13T07:05:53.828087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 956
32.2%
1 505
17.0%
2 283
 
9.5%
3 248
 
8.4%
4 215
 
7.2%
5 165
 
5.6%
6 135
 
4.5%
7 119
 
4.0%
8 83
 
2.8%
9 55
 
1.9%
Other values (65) 204
 
6.9%
ValueCountFrequency (%)
0 956
32.2%
1 505
17.0%
2 283
 
9.5%
3 248
 
8.4%
4 215
 
7.2%
5 165
 
5.6%
6 135
 
4.5%
7 119
 
4.0%
8 83
 
2.8%
9 55
 
1.9%
ValueCountFrequency (%)
231 1
< 0.1%
230 1
< 0.1%
227 1
< 0.1%
216 1
< 0.1%
214 1
< 0.1%
207 1
< 0.1%
202 1
< 0.1%
198 1
< 0.1%
193 1
< 0.1%
192 1
< 0.1%

남성.5
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8504043
Minimum0
Maximum133
Zeros1291
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:53.968538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum133
Range133
Interquartile range (IQR)3

Descriptive statistics

Standard deviation10.697791
Coefficient of variation (CV)3.7530784
Kurtosis70.086362
Mean2.8504043
Median Absolute Deviation (MAD)1
Skewness8.1200246
Sum8460
Variance114.44273
MonotonicityNot monotonic
2023-12-13T07:05:54.113702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1291
43.5%
1 550
18.5%
2 355
 
12.0%
3 267
 
9.0%
4 182
 
6.1%
5 122
 
4.1%
6 61
 
2.1%
7 41
 
1.4%
8 25
 
0.8%
9 13
 
0.4%
Other values (52) 61
 
2.1%
ValueCountFrequency (%)
0 1291
43.5%
1 550
18.5%
2 355
 
12.0%
3 267
 
9.0%
4 182
 
6.1%
5 122
 
4.1%
6 61
 
2.1%
7 41
 
1.4%
8 25
 
0.8%
9 13
 
0.4%
ValueCountFrequency (%)
133 1
< 0.1%
116 1
< 0.1%
114 1
< 0.1%
112 1
< 0.1%
111 1
< 0.1%
110 1
< 0.1%
109 1
< 0.1%
107 1
< 0.1%
106 1
< 0.1%
105 1
< 0.1%

여성.5
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3322102
Minimum0
Maximum125
Zeros1450
Zeros (%)48.9%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:54.241068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum125
Range125
Interquartile range (IQR)2

Descriptive statistics

Standard deviation9.2505193
Coefficient of variation (CV)3.9664174
Kurtosis91.904339
Mean2.3322102
Median Absolute Deviation (MAD)1
Skewness9.1165102
Sum6922
Variance85.572107
MonotonicityNot monotonic
2023-12-13T07:05:54.366316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1450
48.9%
1 572
 
19.3%
2 355
 
12.0%
3 203
 
6.8%
4 140
 
4.7%
5 82
 
2.8%
6 55
 
1.9%
7 28
 
0.9%
8 13
 
0.4%
9 6
 
0.2%
Other values (45) 64
 
2.2%
ValueCountFrequency (%)
0 1450
48.9%
1 572
 
19.3%
2 355
 
12.0%
3 203
 
6.8%
4 140
 
4.7%
5 82
 
2.8%
6 55
 
1.9%
7 28
 
0.9%
8 13
 
0.4%
9 6
 
0.2%
ValueCountFrequency (%)
125 1
< 0.1%
117 2
0.1%
114 1
< 0.1%
111 2
0.1%
110 1
< 0.1%
109 1
< 0.1%
105 1
< 0.1%
96 1
< 0.1%
92 1
< 0.1%
90 1
< 0.1%

6급
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8625337
Minimum0
Maximum227
Zeros882
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:54.486092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile11
Maximum227
Range227
Interquartile range (IQR)5

Descriptive statistics

Standard deviation21.335413
Coefficient of variation (CV)3.6392819
Kurtosis64.665427
Mean5.8625337
Median Absolute Deviation (MAD)2
Skewness7.8658206
Sum17400
Variance455.19984
MonotonicityNot monotonic
2023-12-13T07:05:54.616908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 882
29.7%
1 454
15.3%
2 278
 
9.4%
3 230
 
7.7%
4 225
 
7.6%
5 182
 
6.1%
6 159
 
5.4%
7 156
 
5.3%
8 97
 
3.3%
9 69
 
2.3%
Other values (60) 236
 
8.0%
ValueCountFrequency (%)
0 882
29.7%
1 454
15.3%
2 278
 
9.4%
3 230
 
7.7%
4 225
 
7.6%
5 182
 
6.1%
6 159
 
5.4%
7 156
 
5.3%
8 97
 
3.3%
9 69
 
2.3%
ValueCountFrequency (%)
227 1
< 0.1%
226 1
< 0.1%
220 1
< 0.1%
216 2
0.1%
215 1
< 0.1%
211 1
< 0.1%
210 1
< 0.1%
203 1
< 0.1%
202 2
0.1%
200 1
< 0.1%

남성.6
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7971698
Minimum0
Maximum155
Zeros1115
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:54.758976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile8
Maximum155
Range155
Interquartile range (IQR)3

Descriptive statistics

Standard deviation13.958481
Coefficient of variation (CV)3.6760224
Kurtosis65.720388
Mean3.7971698
Median Absolute Deviation (MAD)1
Skewness7.892514
Sum11270
Variance194.8392
MonotonicityNot monotonic
2023-12-13T07:05:54.921099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1115
37.6%
1 502
16.9%
2 364
 
12.3%
3 275
 
9.3%
4 197
 
6.6%
5 174
 
5.9%
6 101
 
3.4%
7 65
 
2.2%
8 54
 
1.8%
10 19
 
0.6%
Other values (53) 102
 
3.4%
ValueCountFrequency (%)
0 1115
37.6%
1 502
16.9%
2 364
 
12.3%
3 275
 
9.3%
4 197
 
6.6%
5 174
 
5.9%
6 101
 
3.4%
7 65
 
2.2%
8 54
 
1.8%
9 19
 
0.6%
ValueCountFrequency (%)
155 1
< 0.1%
154 1
< 0.1%
151 1
< 0.1%
147 1
< 0.1%
141 1
< 0.1%
140 1
< 0.1%
138 1
< 0.1%
135 2
0.1%
134 1
< 0.1%
132 2
0.1%

여성.6
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0653639
Minimum0
Maximum104
Zeros1462
Zeros (%)49.3%
Negative0
Negative (%)0.0%
Memory size26.2 KiB
2023-12-13T07:05:55.058603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum104
Range104
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.9789773
Coefficient of variation (CV)3.8632307
Kurtosis83.393537
Mean2.0653639
Median Absolute Deviation (MAD)1
Skewness8.7047133
Sum6130
Variance63.664078
MonotonicityNot monotonic
2023-12-13T07:05:55.198491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1462
49.3%
1 613
20.7%
2 385
 
13.0%
3 210
 
7.1%
4 120
 
4.0%
5 63
 
2.1%
6 31
 
1.0%
7 15
 
0.5%
8 12
 
0.4%
69 3
 
0.1%
Other values (44) 54
 
1.8%
ValueCountFrequency (%)
0 1462
49.3%
1 613
20.7%
2 385
 
13.0%
3 210
 
7.1%
4 120
 
4.0%
5 63
 
2.1%
6 31
 
1.0%
7 15
 
0.5%
8 12
 
0.4%
9 1
 
< 0.1%
ValueCountFrequency (%)
104 1
< 0.1%
101 1
< 0.1%
98 1
< 0.1%
97 1
< 0.1%
95 1
< 0.1%
91 1
< 0.1%
86 1
< 0.1%
83 1
< 0.1%
82 2
0.1%
80 1
< 0.1%

Sample

구분나이남성여성1급남성.1여성.12급남성.2여성.23급남성.3여성.34급남성.4여성.45급남성.5여성.56급남성.6여성.6
0연령별 현황184532431110110000101
1연령별 현황2155752532550110101110
2연령별 현황3381917107151141156761431330
3연령별 현황4431810642620610641082220312
4연령별 현황55322169734241015105660110330
5연령별 현황683353119124535102415912102422220
6연령별 현황775313122947351215105972211202
7연령별 현황877421710753332031238550835532
8연령별 현황9723832171539327311714110431321
9연령별 현황1073311810836288322395323211073
구분나이남성여성1급남성.1여성.12급남성.2여성.23급남성.3여성.34급남성.4여성.45급남성.5여성.56급남성.6여성.6
2958경기도 용인시 수지구 성복동8856000110321312211202
2959경기도 용인시 수지구 성복동8935000202211211101110
2960경기도 용인시 수지구 성복동9058000211101523413110
2961경기도 용인시 수지구 성복동9134101000110211211101
2962경기도 용인시 수지구 성복동9234000101101422110000
2963경기도 용인시 수지구 성복동9324101101000000211211
2964경기도 용인시 수지구 성복동9425000101202110202110
2965경기도 용인시 수지구 성복동9512101110000000101000
2966경기도 용인시 수지구 성복동9820000000110110000000
2967경기도 용인시 수지구 성복동9902101000000000000101