Overview

Dataset statistics

Number of variables24
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory217.5 B

Variable types

Text1
Numeric22
Categorical1

Dataset

Description경기도 용인시 미성년 인구수 현황입니다. 읍면동, 전체 세대수, 전체 인구수, 전체 미성년 인구수, 0세 인구수, ..., 18세 인구수 데이터를 제공합니다.※ 데이터기준일자 : 2023-09-30
Author경기도 용인시
URLhttps://www.data.go.kr/data/15124562/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
읍면동 has unique valuesUnique
전체 세대수 has unique valuesUnique
전체 인구수 has unique valuesUnique
전체 미성년 인구수 has unique valuesUnique
4세 인구수 has unique valuesUnique
7세 인구수 has unique valuesUnique
9세 인구수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:38:37.025472
Analysis finished2023-12-12 07:38:37.275682
Duration0.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T16:38:37.447688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.3947368
Min length3

Characters and Unicode

Total characters129
Distinct characters49
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row포곡읍
2nd row모현읍
3rd row이동읍
4th row남사읍
5th row원삼면
ValueCountFrequency (%)
포곡읍 1
 
2.6%
풍덕천1동 1
 
2.6%
상현3동 1
 
2.6%
마북동 1
 
2.6%
동백1동 1
 
2.6%
동백2동 1
 
2.6%
동백3동 1
 
2.6%
상하동 1
 
2.6%
보정동 1
 
2.6%
신봉동 1
 
2.6%
Other values (28) 28
73.7%
2023-12-12T16:38:37.921323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
28.7%
2 5
 
3.9%
1 5
 
3.9%
5
 
3.9%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
3
 
2.3%
3
 
2.3%
Other values (39) 55
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116
89.9%
Decimal Number 13
 
10.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
31.9%
5
 
4.3%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
3
 
2.6%
3
 
2.6%
3
 
2.6%
3
 
2.6%
Other values (36) 46
39.7%
Decimal Number
ValueCountFrequency (%)
2 5
38.5%
1 5
38.5%
3 3
23.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116
89.9%
Common 13
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
31.9%
5
 
4.3%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
3
 
2.6%
3
 
2.6%
3
 
2.6%
3
 
2.6%
Other values (36) 46
39.7%
Common
ValueCountFrequency (%)
2 5
38.5%
1 5
38.5%
3 3
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116
89.9%
ASCII 13
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
37
31.9%
5
 
4.3%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
3
 
2.6%
3
 
2.6%
3
 
2.6%
3
 
2.6%
Other values (36) 46
39.7%
ASCII
ValueCountFrequency (%)
2 5
38.5%
1 5
38.5%
3 3
23.1%

전체 세대수
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11458.789
Minimum4423
Maximum19555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:38.106277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4423
5-th percentile4809.35
Q19166.25
median11443.5
Q314718.5
95-th percentile18266.2
Maximum19555
Range15132
Interquartile range (IQR)5552.25

Descriptive statistics

Standard deviation3916.0781
Coefficient of variation (CV)0.34175321
Kurtosis-0.51103308
Mean11458.789
Median Absolute Deviation (MAD)2736
Skewness0.091033382
Sum435434
Variance15335668
MonotonicityNot monotonic
2023-12-12T16:38:38.305367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
14573 1
 
2.6%
14767 1
 
2.6%
11640 1
 
2.6%
9459 1
 
2.6%
10093 1
 
2.6%
9188 1
 
2.6%
13201 1
 
2.6%
15760 1
 
2.6%
15382 1
 
2.6%
10716 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
4423 1
2.6%
4715 1
2.6%
4826 1
2.6%
5999 1
2.6%
6215 1
2.6%
6619 1
2.6%
7688 1
2.6%
7872 1
2.6%
9101 1
2.6%
9159 1
2.6%
ValueCountFrequency (%)
19555 1
2.6%
18817 1
2.6%
18169 1
2.6%
16083 1
2.6%
15760 1
2.6%
15607 1
2.6%
15382 1
2.6%
15376 1
2.6%
14923 1
2.6%
14767 1
2.6%

전체 인구수
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28348
Minimum8310
Maximum54742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:38.488491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8310
5-th percentile11779.45
Q120791.5
median27318
Q335362.75
95-th percentile43007.25
Maximum54742
Range46432
Interquartile range (IQR)14571.25

Descriptive statistics

Standard deviation10739.163
Coefficient of variation (CV)0.37883316
Kurtosis0.064973529
Mean28348
Median Absolute Deviation (MAD)7227
Skewness0.21379438
Sum1077224
Variance1.1532961 × 108
MonotonicityNot monotonic
2023-12-12T16:38:38.667369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
33225 1
 
2.6%
41270 1
 
2.6%
32034 1
 
2.6%
26886 1
 
2.6%
26908 1
 
2.6%
23700 1
 
2.6%
35413 1
 
2.6%
35408 1
 
2.6%
41625 1
 
2.6%
28491 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
8310 1
2.6%
8637 1
2.6%
12334 1
2.6%
12788 1
2.6%
12977 1
2.6%
18123 1
2.6%
19101 1
2.6%
20063 1
2.6%
20119 1
2.6%
20632 1
2.6%
ValueCountFrequency (%)
54742 1
2.6%
50840 1
2.6%
41625 1
2.6%
41270 1
2.6%
41182 1
2.6%
39405 1
2.6%
37318 1
2.6%
37203 1
2.6%
35413 1
2.6%
35408 1
2.6%

전체 미성년 인구수
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5052.7632
Minimum555
Maximum11280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:38.832804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum555
5-th percentile1337.45
Q13224.5
median5092.5
Q36496
95-th percentile9459.55
Maximum11280
Range10725
Interquartile range (IQR)3271.5

Descriptive statistics

Standard deviation2465.1261
Coefficient of variation (CV)0.48787684
Kurtosis0.23746911
Mean5052.7632
Median Absolute Deviation (MAD)1533.5
Skewness0.37986091
Sum192005
Variance6076846.8
MonotonicityNot monotonic
2023-12-12T16:38:38.965786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
4950 1
 
2.6%
8436 1
 
2.6%
7369 1
 
2.6%
5986 1
 
2.6%
6128 1
 
2.6%
3683 1
 
2.6%
6666 1
 
2.6%
5338 1
 
2.6%
9304 1
 
2.6%
5070 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
555 1
2.6%
898 1
2.6%
1415 1
2.6%
1687 1
2.6%
1919 1
2.6%
2556 1
2.6%
2734 1
2.6%
2780 1
2.6%
3054 1
2.6%
3220 1
2.6%
ValueCountFrequency (%)
11280 1
2.6%
10341 1
2.6%
9304 1
2.6%
8436 1
2.6%
7369 1
2.6%
6891 1
2.6%
6666 1
2.6%
6636 1
2.6%
6616 1
2.6%
6510 1
2.6%

0세 인구수
Real number (ℝ)

Distinct34
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.94737
Minimum13
Maximum310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:39.434735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile27.5
Q174
median130.5
Q3165.25
95-th percentile258.6
Maximum310
Range297
Interquartile range (IQR)91.25

Descriptive statistics

Standard deviation71.989844
Coefficient of variation (CV)0.54149131
Kurtosis-0.1651778
Mean132.94737
Median Absolute Deviation (MAD)51
Skewness0.56787664
Sum5052
Variance5182.5377
MonotonicityNot monotonic
2023-12-12T16:38:39.589618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
155 2
 
5.3%
74 2
 
5.3%
144 2
 
5.3%
67 2
 
5.3%
214 1
 
2.6%
139 1
 
2.6%
187 1
 
2.6%
89 1
 
2.6%
310 1
 
2.6%
149 1
 
2.6%
Other values (24) 24
63.2%
ValueCountFrequency (%)
13 1
2.6%
19 1
2.6%
29 1
2.6%
65 1
2.6%
67 2
5.3%
68 1
2.6%
69 1
2.6%
72 1
2.6%
74 2
5.3%
85 1
2.6%
ValueCountFrequency (%)
310 1
2.6%
262 1
2.6%
258 1
2.6%
257 1
2.6%
236 1
2.6%
222 1
2.6%
214 1
2.6%
187 1
2.6%
172 1
2.6%
168 1
2.6%

1세 인구수
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.55263
Minimum14
Maximum352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:39.759891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile32.75
Q196
median146
Q3207
95-th percentile272.75
Maximum352
Range338
Interquartile range (IQR)111

Descriptive statistics

Standard deviation78.097547
Coefficient of variation (CV)0.50860442
Kurtosis-0.16146939
Mean153.55263
Median Absolute Deviation (MAD)58
Skewness0.37129111
Sum5835
Variance6099.2269
MonotonicityNot monotonic
2023-12-12T16:38:39.917490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
272 2
 
5.3%
175 2
 
5.3%
119 1
 
2.6%
246 1
 
2.6%
128 1
 
2.6%
78 1
 
2.6%
204 1
 
2.6%
99 1
 
2.6%
136 1
 
2.6%
235 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
14 1
2.6%
20 1
2.6%
35 1
2.6%
65 1
2.6%
71 1
2.6%
73 1
2.6%
78 1
2.6%
79 1
2.6%
88 1
2.6%
95 1
2.6%
ValueCountFrequency (%)
352 1
2.6%
277 1
2.6%
272 2
5.3%
260 1
2.6%
246 1
2.6%
235 1
2.6%
220 1
2.6%
214 1
2.6%
208 1
2.6%
204 1
2.6%

2세 인구수
Real number (ℝ)

Distinct35
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.18421
Minimum10
Maximum402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:40.045691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile37.55
Q1103.25
median156.5
Q3212.75
95-th percentile305.45
Maximum402
Range392
Interquartile range (IQR)109.5

Descriptive statistics

Standard deviation87.797327
Coefficient of variation (CV)0.52831329
Kurtosis0.10067874
Mean166.18421
Median Absolute Deviation (MAD)56
Skewness0.47988267
Sum6315
Variance7708.3706
MonotonicityNot monotonic
2023-12-12T16:38:40.194526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
133 4
 
10.5%
178 1
 
2.6%
195 1
 
2.6%
165 1
 
2.6%
96 1
 
2.6%
213 1
 
2.6%
112 1
 
2.6%
177 1
 
2.6%
240 1
 
2.6%
123 1
 
2.6%
Other values (25) 25
65.8%
ValueCountFrequency (%)
10 1
2.6%
18 1
2.6%
41 1
2.6%
67 1
2.6%
70 1
2.6%
75 1
2.6%
84 1
2.6%
96 1
2.6%
100 1
2.6%
101 1
2.6%
ValueCountFrequency (%)
402 1
2.6%
308 1
2.6%
305 1
2.6%
303 1
2.6%
278 1
2.6%
258 1
2.6%
255 1
2.6%
240 1
2.6%
230 1
2.6%
213 1
2.6%

3세 인구수
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.68421
Minimum10
Maximum452
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:40.349513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile40.55
Q1110.5
median177
Q3232
95-th percentile345.25
Maximum452
Range442
Interquartile range (IQR)121.5

Descriptive statistics

Standard deviation95.454844
Coefficient of variation (CV)0.53420973
Kurtosis0.77425557
Mean178.68421
Median Absolute Deviation (MAD)63.5
Skewness0.7004593
Sum6790
Variance9111.6273
MonotonicityNot monotonic
2023-12-12T16:38:40.497269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
236 2
 
5.3%
134 1
 
2.6%
150 1
 
2.6%
145 1
 
2.6%
110 1
 
2.6%
112 1
 
2.6%
176 1
 
2.6%
183 1
 
2.6%
309 1
 
2.6%
281 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
10 1
2.6%
21 1
2.6%
44 1
2.6%
69 1
2.6%
82 1
2.6%
97 1
2.6%
101 1
2.6%
103 1
2.6%
108 1
2.6%
110 1
2.6%
ValueCountFrequency (%)
452 1
2.6%
375 1
2.6%
340 1
2.6%
309 1
2.6%
281 1
2.6%
279 1
2.6%
256 1
2.6%
249 1
2.6%
236 2
5.3%
220 1
2.6%

4세 인구수
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.68421
Minimum16
Maximum469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:40.648566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile45.05
Q1126
median201
Q3262.75
95-th percentile356.35
Maximum469
Range453
Interquartile range (IQR)136.75

Descriptive statistics

Standard deviation106.28013
Coefficient of variation (CV)0.53491984
Kurtosis0.10468571
Mean198.68421
Median Absolute Deviation (MAD)73
Skewness0.48250695
Sum7550
Variance11295.465
MonotonicityNot monotonic
2023-12-12T16:38:40.786454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
132 1
 
2.6%
319 1
 
2.6%
195 1
 
2.6%
152 1
 
2.6%
291 1
 
2.6%
134 1
 
2.6%
224 1
 
2.6%
208 1
 
2.6%
343 1
 
2.6%
167 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
16 1
2.6%
17 1
2.6%
50 1
2.6%
58 1
2.6%
81 1
2.6%
92 1
2.6%
110 1
2.6%
116 1
2.6%
119 1
2.6%
124 1
2.6%
ValueCountFrequency (%)
469 1
2.6%
432 1
2.6%
343 1
2.6%
337 1
2.6%
330 1
2.6%
319 1
2.6%
292 1
2.6%
291 1
2.6%
279 1
2.6%
264 1
2.6%

5세 인구수
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.71053
Minimum27
Maximum507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:40.932792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile49.55
Q1133.5
median210.5
Q3276.75
95-th percentile387.4
Maximum507
Range480
Interquartile range (IQR)143.25

Descriptive statistics

Standard deviation112.8577
Coefficient of variation (CV)0.5231905
Kurtosis0.64140575
Mean215.71053
Median Absolute Deviation (MAD)73
Skewness0.63823663
Sum8197
Variance12736.86
MonotonicityNot monotonic
2023-12-12T16:38:41.064645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
254 2
 
5.3%
330 2
 
5.3%
196 1
 
2.6%
177 1
 
2.6%
171 1
 
2.6%
301 1
 
2.6%
147 1
 
2.6%
192 1
 
2.6%
362 1
 
2.6%
367 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
27 1
2.6%
30 1
2.6%
53 1
2.6%
75 1
2.6%
83 1
2.6%
105 1
2.6%
119 1
2.6%
120 1
2.6%
121 1
2.6%
130 1
2.6%
ValueCountFrequency (%)
507 1
2.6%
503 1
2.6%
367 1
2.6%
362 1
2.6%
330 2
5.3%
310 1
2.6%
301 1
2.6%
285 1
2.6%
282 1
2.6%
261 1
2.6%

6세 인구수
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245.10526
Minimum21
Maximum591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:41.224788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile65.9
Q1156.5
median236
Q3311.75
95-th percentile476.1
Maximum591
Range570
Interquartile range (IQR)155.25

Descriptive statistics

Standard deviation129.07483
Coefficient of variation (CV)0.5266098
Kurtosis0.92311771
Mean245.10526
Median Absolute Deviation (MAD)77.5
Skewness0.7207902
Sum9314
Variance16660.313
MonotonicityNot monotonic
2023-12-12T16:38:41.354990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
313 2
 
5.3%
459 1
 
2.6%
229 1
 
2.6%
281 1
 
2.6%
223 1
 
2.6%
294 1
 
2.6%
140 1
 
2.6%
315 1
 
2.6%
243 1
 
2.6%
185 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
21 1
2.6%
37 1
2.6%
71 1
2.6%
86 1
2.6%
93 1
2.6%
117 1
2.6%
122 1
2.6%
140 1
2.6%
145 1
2.6%
156 1
2.6%
ValueCountFrequency (%)
591 1
2.6%
573 1
2.6%
459 1
2.6%
394 1
2.6%
376 1
2.6%
368 1
2.6%
325 1
2.6%
315 1
2.6%
313 2
5.3%
308 1
2.6%

7세 인구수
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.42105
Minimum26
Maximum657
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:41.530428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile65.2
Q1193.25
median274.5
Q3354
95-th percentile583.25
Maximum657
Range631
Interquartile range (IQR)160.75

Descriptive statistics

Standard deviation148.66062
Coefficient of variation (CV)0.53013359
Kurtosis0.70889502
Mean280.42105
Median Absolute Deviation (MAD)81
Skewness0.63401351
Sum10656
Variance22099.98
MonotonicityNot monotonic
2023-12-12T16:38:41.693413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
206 1
 
2.6%
442 1
 
2.6%
369 1
 
2.6%
289 1
 
2.6%
351 1
 
2.6%
194 1
 
2.6%
388 1
 
2.6%
241 1
 
2.6%
572 1
 
2.6%
255 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
26 1
2.6%
38 1
2.6%
70 1
2.6%
72 1
2.6%
107 1
2.6%
115 1
2.6%
136 1
2.6%
172 1
2.6%
179 1
2.6%
193 1
2.6%
ValueCountFrequency (%)
657 1
2.6%
647 1
2.6%
572 1
2.6%
442 1
2.6%
404 1
2.6%
403 1
2.6%
388 1
2.6%
384 1
2.6%
369 1
2.6%
355 1
2.6%

8세 인구수
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean301.60526
Minimum21
Maximum750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:41.825476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile76.2
Q1183.5
median289
Q3376.75
95-th percentile632.6
Maximum750
Range729
Interquartile range (IQR)193.25

Descriptive statistics

Standard deviation164.76823
Coefficient of variation (CV)0.54630423
Kurtosis0.99193201
Mean301.60526
Median Absolute Deviation (MAD)102
Skewness0.75469591
Sum11461
Variance27148.57
MonotonicityNot monotonic
2023-12-12T16:38:41.968561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
346 2
 
5.3%
275 1
 
2.6%
283 1
 
2.6%
320 1
 
2.6%
382 1
 
2.6%
183 1
 
2.6%
419 1
 
2.6%
269 1
 
2.6%
620 1
 
2.6%
475 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
21 1
2.6%
32 1
2.6%
84 1
2.6%
98 1
2.6%
116 1
2.6%
128 1
2.6%
147 1
2.6%
152 1
2.6%
169 1
2.6%
183 1
2.6%
ValueCountFrequency (%)
750 1
2.6%
704 1
2.6%
620 1
2.6%
475 1
2.6%
445 1
2.6%
437 1
2.6%
434 1
2.6%
419 1
2.6%
389 1
2.6%
382 1
2.6%

9세 인구수
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean301.5
Minimum21
Maximum751
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:42.116066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile65.15
Q1184.5
median294.5
Q3376.25
95-th percentile634.65
Maximum751
Range730
Interquartile range (IQR)191.75

Descriptive statistics

Standard deviation167.52116
Coefficient of variation (CV)0.55562573
Kurtosis0.76733548
Mean301.5
Median Absolute Deviation (MAD)92.5
Skewness0.69319096
Sum11457
Variance28063.338
MonotonicityNot monotonic
2023-12-12T16:38:42.268745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
260 1
 
2.6%
520 1
 
2.6%
432 1
 
2.6%
370 1
 
2.6%
378 1
 
2.6%
204 1
 
2.6%
407 1
 
2.6%
265 1
 
2.6%
624 1
 
2.6%
294 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
21 1
2.6%
49 1
2.6%
68 1
2.6%
74 1
2.6%
83 1
2.6%
126 1
2.6%
157 1
2.6%
161 1
2.6%
179 1
2.6%
184 1
2.6%
ValueCountFrequency (%)
751 1
2.6%
695 1
2.6%
624 1
2.6%
520 1
2.6%
450 1
2.6%
432 1
2.6%
407 1
2.6%
389 1
2.6%
385 1
2.6%
378 1
2.6%

10세 인구수
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312.92105
Minimum30
Maximum710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:42.424947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile87.5
Q1192.5
median314
Q3395
95-th percentile647.1
Maximum710
Range680
Interquartile range (IQR)202.5

Descriptive statistics

Standard deviation164.17647
Coefficient of variation (CV)0.52465779
Kurtosis0.33459152
Mean312.92105
Median Absolute Deviation (MAD)101.5
Skewness0.53645
Sum11891
Variance26953.913
MonotonicityNot monotonic
2023-12-12T16:38:42.590958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
95 2
 
5.3%
287 1
 
2.6%
541 1
 
2.6%
434 1
 
2.6%
396 1
 
2.6%
238 1
 
2.6%
448 1
 
2.6%
255 1
 
2.6%
639 1
 
2.6%
301 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
30 1
2.6%
45 1
2.6%
95 2
5.3%
107 1
2.6%
129 1
2.6%
154 1
2.6%
163 1
2.6%
165 1
2.6%
188 1
2.6%
206 1
2.6%
ValueCountFrequency (%)
710 1
2.6%
693 1
2.6%
639 1
2.6%
541 1
2.6%
448 1
2.6%
444 1
2.6%
442 1
2.6%
434 1
2.6%
409 1
2.6%
396 1
2.6%

11세 인구수
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean331.42105
Minimum30
Maximum787
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:42.752353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile80.7
Q1185
median335
Q3425.5
95-th percentile629.4
Maximum787
Range757
Interquartile range (IQR)240.5

Descriptive statistics

Standard deviation170.53788
Coefficient of variation (CV)0.51456563
Kurtosis0.19863389
Mean331.42105
Median Absolute Deviation (MAD)97
Skewness0.34559962
Sum12594
Variance29083.169
MonotonicityNot monotonic
2023-12-12T16:38:42.911636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
185 2
 
5.3%
332 1
 
2.6%
336 1
 
2.6%
424 1
 
2.6%
412 1
 
2.6%
236 1
 
2.6%
446 1
 
2.6%
301 1
 
2.6%
643 1
 
2.6%
489 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
30 1
2.6%
45 1
2.6%
87 1
2.6%
95 1
2.6%
125 1
2.6%
136 1
2.6%
167 1
2.6%
168 1
2.6%
180 1
2.6%
185 2
5.3%
ValueCountFrequency (%)
787 1
2.6%
643 1
2.6%
627 1
2.6%
539 1
2.6%
495 1
2.6%
489 1
2.6%
446 1
2.6%
430 1
2.6%
428 1
2.6%
426 1
2.6%

12세 인구수
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean330.97368
Minimum28
Maximum739
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:43.078160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile88.35
Q1215.75
median322.5
Q3424.5
95-th percentile622.15
Maximum739
Range711
Interquartile range (IQR)208.75

Descriptive statistics

Standard deviation169.54334
Coefficient of variation (CV)0.51225626
Kurtosis-0.079420966
Mean330.97368
Median Absolute Deviation (MAD)110
Skewness0.35086076
Sum12577
Variance28744.945
MonotonicityNot monotonic
2023-12-12T16:38:43.254594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
115 2
 
5.3%
338 1
 
2.6%
450 1
 
2.6%
398 1
 
2.6%
233 1
 
2.6%
486 1
 
2.6%
307 1
 
2.6%
657 1
 
2.6%
616 1
 
2.6%
359 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
28 1
2.6%
45 1
2.6%
96 1
2.6%
115 2
5.3%
117 1
2.6%
148 1
2.6%
176 1
2.6%
194 1
2.6%
210 1
2.6%
233 1
2.6%
ValueCountFrequency (%)
739 1
2.6%
657 1
2.6%
616 1
2.6%
599 1
2.6%
572 1
2.6%
486 1
2.6%
468 1
2.6%
450 1
2.6%
444 1
2.6%
430 1
2.6%

13세 인구수
Real number (ℝ)

Distinct34
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean316.89474
Minimum44
Maximum774
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:43.419522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile92
Q1195.75
median312
Q3395.75
95-th percentile586.05
Maximum774
Range730
Interquartile range (IQR)200

Descriptive statistics

Standard deviation165.48566
Coefficient of variation (CV)0.52221017
Kurtosis0.27811998
Mean316.89474
Median Absolute Deviation (MAD)101.5
Skewness0.53806944
Sum12042
Variance27385.502
MonotonicityNot monotonic
2023-12-12T16:38:43.575306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
556 2
 
5.3%
312 2
 
5.3%
357 2
 
5.3%
98 2
 
5.3%
319 1
 
2.6%
337 1
 
2.6%
457 1
 
2.6%
379 1
 
2.6%
246 1
 
2.6%
477 1
 
2.6%
Other values (24) 24
63.2%
ValueCountFrequency (%)
44 1
2.6%
58 1
2.6%
98 2
5.3%
109 1
2.6%
118 1
2.6%
141 1
2.6%
163 1
2.6%
179 1
2.6%
184 1
2.6%
231 1
2.6%
ValueCountFrequency (%)
774 1
2.6%
592 1
2.6%
585 1
2.6%
556 2
5.3%
478 1
2.6%
477 1
2.6%
457 1
2.6%
431 1
2.6%
396 1
2.6%
395 1
2.6%

14세 인구수
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean311.76316
Minimum38
Maximum721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:43.721858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile83.55
Q1195.5
median304.5
Q3393.25
95-th percentile580
Maximum721
Range683
Interquartile range (IQR)197.75

Descriptive statistics

Standard deviation161.91046
Coefficient of variation (CV)0.51933801
Kurtosis-0.068847332
Mean311.76316
Median Absolute Deviation (MAD)99.5
Skewness0.4423987
Sum11847
Variance26214.996
MonotonicityNot monotonic
2023-12-12T16:38:43.860696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
294 2
 
5.3%
334 2
 
5.3%
351 1
 
2.6%
568 1
 
2.6%
558 1
 
2.6%
471 1
 
2.6%
391 1
 
2.6%
232 1
 
2.6%
432 1
 
2.6%
597 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
38 1
2.6%
47 1
2.6%
90 1
2.6%
107 1
2.6%
109 1
2.6%
115 1
2.6%
161 1
2.6%
162 1
2.6%
173 1
2.6%
194 1
2.6%
ValueCountFrequency (%)
721 1
2.6%
597 1
2.6%
577 1
2.6%
568 1
2.6%
558 1
2.6%
471 1
2.6%
469 1
2.6%
432 1
2.6%
399 1
2.6%
394 1
2.6%

15세 인구수
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334.36842
Minimum42
Maximum710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:44.009981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile90.1
Q1204.75
median331.5
Q3467
95-th percentile613.8
Maximum710
Range668
Interquartile range (IQR)262.25

Descriptive statistics

Standard deviation171.46135
Coefficient of variation (CV)0.51279171
Kurtosis-0.62988106
Mean334.36842
Median Absolute Deviation (MAD)135.5
Skewness0.25193464
Sum12706
Variance29398.996
MonotonicityNot monotonic
2023-12-12T16:38:44.170221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
467 2
 
5.3%
587 2
 
5.3%
366 1
 
2.6%
362 1
 
2.6%
285 1
 
2.6%
624 1
 
2.6%
510 1
 
2.6%
355 1
 
2.6%
267 1
 
2.6%
495 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
42 1
2.6%
51 1
2.6%
97 1
2.6%
116 1
2.6%
119 1
2.6%
128 1
2.6%
151 1
2.6%
160 1
2.6%
178 1
2.6%
202 1
2.6%
ValueCountFrequency (%)
710 1
2.6%
624 1
2.6%
612 1
2.6%
587 2
5.3%
526 1
2.6%
510 1
2.6%
495 1
2.6%
479 1
2.6%
467 2
5.3%
386 1
2.6%

16세 인구수
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334.02632
Minimum40
Maximum711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:44.660980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile96.4
Q1197.25
median348
Q3443.5
95-th percentile632.4
Maximum711
Range671
Interquartile range (IQR)246.25

Descriptive statistics

Standard deviation169.98386
Coefficient of variation (CV)0.50889362
Kurtosis-0.56461152
Mean334.02632
Median Absolute Deviation (MAD)130
Skewness0.24081737
Sum12693
Variance28894.513
MonotonicityNot monotonic
2023-12-12T16:38:44.792221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
337 2
 
5.3%
414 1
 
2.6%
565 1
 
2.6%
630 1
 
2.6%
510 1
 
2.6%
363 1
 
2.6%
279 1
 
2.6%
474 1
 
2.6%
370 1
 
2.6%
646 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
40 1
2.6%
59 1
2.6%
103 1
2.6%
109 1
2.6%
120 1
2.6%
124 1
2.6%
154 1
2.6%
175 1
2.6%
186 1
2.6%
192 1
2.6%
ValueCountFrequency (%)
711 1
2.6%
646 1
2.6%
630 1
2.6%
565 1
2.6%
530 1
2.6%
523 1
2.6%
510 1
2.6%
482 1
2.6%
474 1
2.6%
451 1
2.6%

17세 인구수
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean300.84211
Minimum44
Maximum683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:44.933831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile87.35
Q1185.25
median307
Q3419.25
95-th percentile526.65
Maximum683
Range639
Interquartile range (IQR)234

Descriptive statistics

Standard deviation150.68089
Coefficient of variation (CV)0.50086371
Kurtosis-0.29542121
Mean300.84211
Median Absolute Deviation (MAD)122
Skewness0.30416768
Sum11432
Variance22704.731
MonotonicityNot monotonic
2023-12-12T16:38:45.085647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
44 2
 
5.3%
307 2
 
5.3%
373 1
 
2.6%
525 1
 
2.6%
438 1
 
2.6%
331 1
 
2.6%
272 1
 
2.6%
427 1
 
2.6%
356 1
 
2.6%
507 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
44 2
5.3%
95 1
2.6%
101 1
2.6%
117 1
2.6%
141 1
2.6%
144 1
2.6%
154 1
2.6%
173 1
2.6%
183 1
2.6%
192 1
2.6%
ValueCountFrequency (%)
683 1
2.6%
536 1
2.6%
525 1
2.6%
507 1
2.6%
499 1
2.6%
457 1
2.6%
445 1
2.6%
438 1
2.6%
431 1
2.6%
427 1
2.6%

18세 인구수
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean305.15789
Minimum71
Maximum598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:38:45.219775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71
5-th percentile102.4
Q1202.75
median320
Q3397
95-th percentile497.6
Maximum598
Range527
Interquartile range (IQR)194.25

Descriptive statistics

Standard deviation133.23917
Coefficient of variation (CV)0.43662371
Kurtosis-0.74366056
Mean305.15789
Median Absolute Deviation (MAD)90.5
Skewness0.031425568
Sum11596
Variance17752.677
MonotonicityNot monotonic
2023-12-12T16:38:45.354713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
388 2
 
5.3%
291 2
 
5.3%
420 1
 
2.6%
468 1
 
2.6%
501 1
 
2.6%
409 1
 
2.6%
298 1
 
2.6%
283 1
 
2.6%
371 1
 
2.6%
489 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
71 1
2.6%
99 1
2.6%
103 1
2.6%
117 1
2.6%
121 1
2.6%
134 1
2.6%
157 1
2.6%
159 1
2.6%
170 1
2.6%
201 1
2.6%
ValueCountFrequency (%)
598 1
2.6%
501 1
2.6%
497 1
2.6%
489 1
2.6%
483 1
2.6%
468 1
2.6%
420 1
2.6%
411 1
2.6%
409 1
2.6%
400 1
2.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-09-30
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-30
2nd row2023-09-30
3rd row2023-09-30
4th row2023-09-30
5th row2023-09-30

Common Values

ValueCountFrequency (%)
2023-09-30 38
100.0%

Length

2023-12-12T16:38:45.482657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:38:45.579806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-30 38
100.0%

Sample

읍면동전체 세대수전체 인구수전체 미성년 인구수0세 인구수1세 인구수2세 인구수3세 인구수4세 인구수5세 인구수6세 인구수7세 인구수8세 인구수9세 인구수10세 인구수11세 인구수12세 인구수13세 인구수14세 인구수15세 인구수16세 인구수17세 인구수18세 인구수데이터기준일자
0포곡읍14573332254950991191231341321961852062752602873323593193513664143734202023-09-30
1모현읍1226426380363868881011191361441561962462082662422632412372632382182082023-09-30
2이동읍91592011927346765841031101051451791521861631801761631731781751731572023-09-30
3남사읍99752382951151462082112362642823253553463503383663082912622742361831342023-09-30
4원삼면471586378981914182117273738324945454558475159442322023-09-30
5백암면44238310555132010101630212621213030284438424044712023-09-30
6양지면948320632278074796797921201171151471571541681941791621601861543582023-09-30
7중앙동1239524771305485951001151241211581721691611881852101842002021921922012023-09-30
8역북동156073522765102572773032793303303764044373713924143613573343193592843262023-09-30
9삼가동482612334191967737582818393107116831071361151091151191201171212023-09-30
읍면동전체 세대수전체 인구수전체 미성년 인구수0세 인구수1세 인구수2세 인구수3세 인구수4세 인구수5세 인구수6세 인구수7세 인구수8세 인구수9세 인구수10세 인구수11세 인구수12세 인구수13세 인구수14세 인구수15세 인구수16세 인구수17세 인구수18세 인구수데이터기준일자
28풍덕천2동153824162593042222352783093433624595726206246396436575925976125655074682023-09-30
29신봉동147674127084361722202552813193673684424755205414896165565685876465254892023-09-30
30죽전1동107162849150701281471481501671772262552832943013363383573423863603293462023-09-30
31죽전2동76881812325561441431331081191191221361281261291251171411611511541411592023-09-30
32죽전3동107782664847201331241301521431942272282762623113093123122743363763073142023-09-30
33동천동1955550840103413103524024524695035736577046956936275995855775875235364972023-09-30
34상현1동6619200634219891181331571371561942532362592712972922552942932822522512023-09-30
35상현2동114723306766161871752122022592853133403894504424214683953944674213964002023-09-30
36상현3동111822772853561391721741862172272932943352953223413623143523693373362912023-09-30
37성복동1881754742112802142723083754325075916477507517107877397747217107116835982023-09-30