Overview

Dataset statistics

Number of variables29
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory264.5 B

Variable types

Categorical1
Text1
Numeric27

Dataset

Description본 데이터는 타 자치구(서울시 한정)에서 동작구로의 전입한 현황을 알려주는 데이터 입니다. 년도별로 구분되어 작성되어 있습니다.
Author서울특별시 동작구
URLhttps://www.data.go.kr/data/15077110/fileData.do

Alerts

시도 has constant value ""Constant
자치구 has unique valuesUnique
2015년 건수 has unique valuesUnique
2015년 세대수 has unique valuesUnique
2015년 인구수 has unique valuesUnique
2016년 건수 has unique valuesUnique
2016년 인구수 has unique valuesUnique
2017년 세대수 has unique valuesUnique
2017년 인구수 has unique valuesUnique
2018년 세대수 has unique valuesUnique
2019년 건수 has unique valuesUnique
2019년 세대수 has unique valuesUnique
2020년 세대수 has unique valuesUnique
2022년 건수 has unique valuesUnique
2022년 세대수 has unique valuesUnique
2023년 인구수 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:41:24.658393
Analysis finished2024-04-29 22:41:25.234046
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
서울특별시
24 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 24
100.0%

Length

2024-04-30T07:41:25.301156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:41:25.391956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 24
100.0%

자치구
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-30T07:41:25.544026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0833333
Min length2

Characters and Unicode

Total characters74
Distinct characters35
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

Unique24 ?
Unique (%)100.0%

Sample

1st row강남구
2nd row강동구
3rd row강북구
4th row강서구
5th row관악구
ValueCountFrequency (%)
강남구 1
 
4.2%
강동구 1
 
4.2%
중구 1
 
4.2%
종로구 1
 
4.2%
은평구 1
 
4.2%
용산구 1
 
4.2%
영등포구 1
 
4.2%
양천구 1
 
4.2%
송파구 1
 
4.2%
성북구 1
 
4.2%
Other values (14) 14
58.3%
2024-04-30T07:41:25.841292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
33.8%
4
 
5.4%
3
 
4.1%
3
 
4.1%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
Other values (25) 27
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
33.8%
4
 
5.4%
3
 
4.1%
3
 
4.1%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
Other values (25) 27
36.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
33.8%
4
 
5.4%
3
 
4.1%
3
 
4.1%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
Other values (25) 27
36.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
25
33.8%
4
 
5.4%
3
 
4.1%
3
 
4.1%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
Other values (25) 27
36.5%

2015년 건수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean688.375
Minimum179
Maximum3276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:25.969005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179
5-th percentile194.45
Q1318.75
median401
Q3595.25
95-th percentile2511.45
Maximum3276
Range3097
Interquartile range (IQR)276.5

Descriptive statistics

Standard deviation782.08939
Coefficient of variation (CV)1.1361386
Kurtosis5.7999687
Mean688.375
Median Absolute Deviation (MAD)160
Skewness2.4982668
Sum16521
Variance611663.81
MonotonicityNot monotonic
2024-04-30T07:41:26.075539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1079 1
 
4.2%
2643 1
 
4.2%
263 1
 
4.2%
194 1
 
4.2%
204 1
 
4.2%
355 1
 
4.2%
632 1
 
4.2%
1766 1
 
4.2%
410 1
 
4.2%
570 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
179 1
4.2%
194 1
4.2%
197 1
4.2%
204 1
4.2%
263 1
4.2%
315 1
4.2%
320 1
4.2%
333 1
4.2%
342 1
4.2%
352 1
4.2%
ValueCountFrequency (%)
3276 1
4.2%
2643 1
4.2%
1766 1
4.2%
1079 1
4.2%
675 1
4.2%
632 1
4.2%
583 1
4.2%
570 1
4.2%
552 1
4.2%
453 1
4.2%

2015년 세대수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean516.25
Minimum132
Maximum2618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:26.190804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum132
5-th percentile135.45
Q1228.75
median285
Q3439.25
95-th percentile1921.3
Maximum2618
Range2486
Interquartile range (IQR)210.5

Descriptive statistics

Standard deviation619.12022
Coefficient of variation (CV)1.1992644
Kurtosis6.2798817
Mean516.25
Median Absolute Deviation (MAD)104
Skewness2.5768919
Sum12390
Variance383309.85
MonotonicityNot monotonic
2024-04-30T07:41:26.312168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
789 1
 
4.2%
2020 1
 
4.2%
186 1
 
4.2%
138 1
 
4.2%
152 1
 
4.2%
244 1
 
4.2%
482 1
 
4.2%
1362 1
 
4.2%
290 1
 
4.2%
394 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
132 1
4.2%
135 1
4.2%
138 1
4.2%
152 1
4.2%
186 1
4.2%
222 1
4.2%
231 1
4.2%
244 1
4.2%
247 1
4.2%
252 1
4.2%
ValueCountFrequency (%)
2618 1
4.2%
2020 1
4.2%
1362 1
4.2%
789 1
4.2%
497 1
4.2%
482 1
4.2%
425 1
4.2%
394 1
4.2%
363 1
4.2%
344 1
4.2%

2015년 인구수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1163.4583
Minimum272
Maximum5729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:26.424414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum272
5-th percentile276.25
Q1463.75
median578.5
Q3929.75
95-th percentile5149.65
Maximum5729
Range5457
Interquartile range (IQR)466

Descriptive statistics

Standard deviation1505.8637
Coefficient of variation (CV)1.2942997
Kurtosis5.4315035
Mean1163.4583
Median Absolute Deviation (MAD)288
Skewness2.4906927
Sum27923
Variance2267625.6
MonotonicityNot monotonic
2024-04-30T07:41:26.544399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1818 1
 
4.2%
5729 1
 
4.2%
370 1
 
4.2%
292 1
 
4.2%
289 1
 
4.2%
502 1
 
4.2%
1056 1
 
4.2%
3221 1
 
4.2%
677 1
 
4.2%
890 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
272 1
4.2%
274 1
4.2%
289 1
4.2%
292 1
4.2%
370 1
4.2%
463 1
4.2%
464 1
4.2%
476 1
4.2%
480 1
4.2%
502 1
4.2%
ValueCountFrequency (%)
5729 1
4.2%
5490 1
4.2%
3221 1
4.2%
1818 1
4.2%
1056 1
4.2%
1049 1
4.2%
890 1
4.2%
882 1
4.2%
870 1
4.2%
688 1
4.2%

2016년 건수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean726.83333
Minimum190
Maximum3505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:26.660258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190
5-th percentile217
Q1298.5
median426.5
Q3632
95-th percentile2349.05
Maximum3505
Range3315
Interquartile range (IQR)333.5

Descriptive statistics

Standard deviation819.50004
Coefficient of variation (CV)1.1274938
Kurtosis5.7418068
Mean726.83333
Median Absolute Deviation (MAD)167.5
Skewness2.4723603
Sum17444
Variance671580.32
MonotonicityNot monotonic
2024-04-30T07:41:26.804017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1066 1
 
4.2%
2357 1
 
4.2%
288 1
 
4.2%
190 1
 
4.2%
234 1
 
4.2%
373 1
 
4.2%
626 1
 
4.2%
2304 1
 
4.2%
483 1
 
4.2%
563 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
190 1
4.2%
214 1
4.2%
234 1
4.2%
238 1
4.2%
280 1
4.2%
288 1
4.2%
302 1
4.2%
356 1
4.2%
370 1
4.2%
373 1
4.2%
ValueCountFrequency (%)
3505 1
4.2%
2357 1
4.2%
2304 1
4.2%
1066 1
4.2%
701 1
4.2%
650 1
4.2%
626 1
4.2%
625 1
4.2%
563 1
4.2%
483 1
4.2%

2016년 세대수
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean543.375
Minimum142
Maximum2779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:26.921363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum142
5-th percentile153.55
Q1220.75
median311
Q3462.25
95-th percentile1798.8
Maximum2779
Range2637
Interquartile range (IQR)241.5

Descriptive statistics

Standard deviation644.41911
Coefficient of variation (CV)1.1859565
Kurtosis6.3111786
Mean543.375
Median Absolute Deviation (MAD)129
Skewness2.5620535
Sum13041
Variance415275.98
MonotonicityNot monotonic
2024-04-30T07:41:27.039433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
258 2
 
8.3%
768 1
 
4.2%
227 1
 
4.2%
195 1
 
4.2%
142 1
 
4.2%
169 1
 
4.2%
260 1
 
4.2%
461 1
 
4.2%
1809 1
 
4.2%
351 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
142 1
4.2%
151 1
4.2%
168 1
4.2%
169 1
4.2%
195 1
4.2%
202 1
4.2%
227 1
4.2%
258 2
8.3%
260 1
4.2%
282 1
4.2%
ValueCountFrequency (%)
2779 1
4.2%
1809 1
4.2%
1741 1
4.2%
768 1
4.2%
518 1
4.2%
463 1
4.2%
462 1
4.2%
461 1
4.2%
390 1
4.2%
365 1
4.2%

2016년 인구수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1213.0417
Minimum289
Maximum5877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:27.162294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum289
5-th percentile296.15
Q1439.5
median607
Q31050
95-th percentile4763.9
Maximum5877
Range5588
Interquartile range (IQR)610.5

Descriptive statistics

Standard deviation1534.5906
Coefficient of variation (CV)1.2650766
Kurtosis4.2903731
Mean1213.0417
Median Absolute Deviation (MAD)237.5
Skewness2.3114096
Sum29113
Variance2354968.2
MonotonicityNot monotonic
2024-04-30T07:41:27.271688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1721 1
 
4.2%
4817 1
 
4.2%
405 1
 
4.2%
296 1
 
4.2%
289 1
 
4.2%
513 1
 
4.2%
1077 1
 
4.2%
4463 1
 
4.2%
764 1
 
4.2%
826 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
289 1
4.2%
296 1
4.2%
297 1
4.2%
351 1
4.2%
404 1
4.2%
405 1
4.2%
451 1
4.2%
454 1
4.2%
513 1
4.2%
530 1
4.2%
ValueCountFrequency (%)
5877 1
4.2%
4817 1
4.2%
4463 1
4.2%
1721 1
4.2%
1124 1
4.2%
1077 1
4.2%
1041 1
4.2%
915 1
4.2%
826 1
4.2%
764 1
4.2%

2017년 건수
Real number (ℝ)

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean662.45833
Minimum181
Maximum3323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:27.373274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum181
5-th percentile191
Q1295.25
median403.5
Q3558.75
95-th percentile2293.05
Maximum3323
Range3142
Interquartile range (IQR)263.5

Descriptive statistics

Standard deviation766.28681
Coefficient of variation (CV)1.1567321
Kurtosis6.5276076
Mean662.45833
Median Absolute Deviation (MAD)134
Skewness2.5948037
Sum15899
Variance587195.48
MonotonicityNot monotonic
2024-04-30T07:41:27.480145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
191 2
 
8.3%
615 2
 
8.3%
983 1
 
4.2%
303 1
 
4.2%
263 1
 
4.2%
181 1
 
4.2%
338 1
 
4.2%
525 1
 
4.2%
1806 1
 
4.2%
433 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
181 1
4.2%
191 2
8.3%
194 1
4.2%
263 1
4.2%
272 1
4.2%
303 1
4.2%
326 1
4.2%
327 1
4.2%
338 1
4.2%
349 1
4.2%
ValueCountFrequency (%)
3323 1
4.2%
2379 1
4.2%
1806 1
4.2%
983 1
4.2%
615 2
8.3%
540 1
4.2%
525 1
4.2%
509 1
4.2%
433 1
4.2%
429 1
4.2%

2017년 세대수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean493
Minimum132
Maximum2629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:27.589285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum132
5-th percentile134.6
Q1206
median289.5
Q3393
95-th percentile1756.1
Maximum2629
Range2497
Interquartile range (IQR)187

Descriptive statistics

Standard deviation603.03385
Coefficient of variation (CV)1.2231924
Kurtosis7.091149
Mean493
Median Absolute Deviation (MAD)98.5
Skewness2.6855162
Sum11832
Variance363649.83
MonotonicityNot monotonic
2024-04-30T07:41:27.693481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
711 1
 
4.2%
1826 1
 
4.2%
183 1
 
4.2%
141 1
 
4.2%
132 1
 
4.2%
228 1
 
4.2%
377 1
 
4.2%
1360 1
 
4.2%
314 1
 
4.2%
389 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
132 1
4.2%
134 1
4.2%
138 1
4.2%
141 1
4.2%
183 1
4.2%
197 1
4.2%
209 1
4.2%
228 1
4.2%
233 1
4.2%
239 1
4.2%
ValueCountFrequency (%)
2629 1
4.2%
1826 1
4.2%
1360 1
4.2%
711 1
4.2%
453 1
4.2%
405 1
4.2%
389 1
4.2%
387 1
4.2%
377 1
4.2%
318 1
4.2%

2017년 인구수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1055.625
Minimum245
Maximum5293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:27.801706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245
5-th percentile251.4
Q1410.75
median525.5
Q3860.75
95-th percentile4463.65
Maximum5293
Range5048
Interquartile range (IQR)450

Descriptive statistics

Standard deviation1357.7941
Coefficient of variation (CV)1.2862467
Kurtosis5.2092456
Mean1055.625
Median Absolute Deviation (MAD)223.5
Skewness2.4573701
Sum25335
Variance1843604.9
MonotonicityNot monotonic
2024-04-30T07:41:27.930646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1554 1
 
4.2%
4687 1
 
4.2%
354 1
 
4.2%
249 1
 
4.2%
245 1
 
4.2%
498 1
 
4.2%
857 1
 
4.2%
3198 1
 
4.2%
677 1
 
4.2%
778 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
245 1
4.2%
249 1
4.2%
265 1
4.2%
286 1
4.2%
354 1
4.2%
407 1
4.2%
412 1
4.2%
421 1
4.2%
447 1
4.2%
496 1
4.2%
ValueCountFrequency (%)
5293 1
4.2%
4687 1
4.2%
3198 1
4.2%
1554 1
4.2%
948 1
4.2%
872 1
4.2%
857 1
4.2%
778 1
4.2%
733 1
4.2%
677 1
4.2%

2018년 건수
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean752.91667
Minimum186
Maximum3494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:28.047646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186
5-th percentile189
Q1332
median454
Q3663.75
95-th percentile3127.55
Maximum3494
Range3308
Interquartile range (IQR)331.75

Descriptive statistics

Standard deviation891.5634
Coefficient of variation (CV)1.1841462
Kurtosis5.9944322
Mean752.91667
Median Absolute Deviation (MAD)173.5
Skewness2.5694413
Sum18070
Variance794885.3
MonotonicityNot monotonic
2024-04-30T07:41:28.156401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
186 2
 
8.3%
1188 1
 
4.2%
3380 1
 
4.2%
265 1
 
4.2%
206 1
 
4.2%
344 1
 
4.2%
681 1
 
4.2%
1697 1
 
4.2%
473 1
 
4.2%
607 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
186 2
8.3%
206 1
4.2%
242 1
4.2%
265 1
4.2%
296 1
4.2%
344 1
4.2%
368 1
4.2%
372 1
4.2%
378 1
4.2%
403 1
4.2%
ValueCountFrequency (%)
3494 1
4.2%
3380 1
4.2%
1697 1
4.2%
1188 1
4.2%
720 1
4.2%
681 1
4.2%
658 1
4.2%
607 1
4.2%
518 1
4.2%
500 1
4.2%

2018년 세대수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean584.75
Minimum138
Maximum2795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:28.278232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum138
5-th percentile142.65
Q1255
median339
Q3490.5
95-th percentile2546.4
Maximum2795
Range2657
Interquartile range (IQR)235.5

Descriptive statistics

Standard deviation723.92549
Coefficient of variation (CV)1.2380085
Kurtosis6.1908888
Mean584.75
Median Absolute Deviation (MAD)136.5
Skewness2.6147169
Sum14034
Variance524068.11
MonotonicityNot monotonic
2024-04-30T07:41:28.390852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
901 1
 
4.2%
2760 1
 
4.2%
198 1
 
4.2%
141 1
 
4.2%
152 1
 
4.2%
271 1
 
4.2%
507 1
 
4.2%
1336 1
 
4.2%
349 1
 
4.2%
458 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
138 1
4.2%
141 1
4.2%
152 1
4.2%
177 1
4.2%
198 1
4.2%
207 1
4.2%
271 1
4.2%
277 1
4.2%
282 1
4.2%
291 1
4.2%
ValueCountFrequency (%)
2795 1
4.2%
2760 1
4.2%
1336 1
4.2%
901 1
4.2%
528 1
4.2%
507 1
4.2%
485 1
4.2%
458 1
4.2%
405 1
4.2%
392 1
4.2%

2018년 인구수
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1201.625
Minimum235
Maximum7001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:28.492215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum235
5-th percentile244.9
Q1434.75
median652.5
Q3972.75
95-th percentile4882.8
Maximum7001
Range6766
Interquartile range (IQR)538

Descriptive statistics

Standard deviation1640.4717
Coefficient of variation (CV)1.3652111
Kurtosis7.5628517
Mean1201.625
Median Absolute Deviation (MAD)275
Skewness2.7827903
Sum28839
Variance2691147.5
MonotonicityNot monotonic
2024-04-30T07:41:28.609291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
494 2
 
8.3%
1899 1
 
4.2%
541 1
 
4.2%
351 1
 
4.2%
235 1
 
4.2%
267 1
 
4.2%
445 1
 
4.2%
1008 1
 
4.2%
2853 1
 
4.2%
782 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
235 1
4.2%
241 1
4.2%
267 1
4.2%
322 1
4.2%
351 1
4.2%
404 1
4.2%
445 1
4.2%
494 2
8.3%
541 1
4.2%
583 1
4.2%
ValueCountFrequency (%)
7001 1
4.2%
5241 1
4.2%
2853 1
4.2%
1899 1
4.2%
1110 1
4.2%
1008 1
4.2%
961 1
4.2%
894 1
4.2%
782 1
4.2%
746 1
4.2%

2019년 건수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean713.70833
Minimum188
Maximum3706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:28.731008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188
5-th percentile211.55
Q1325.5
median438
Q3647.5
95-th percentile2233.4
Maximum3706
Range3518
Interquartile range (IQR)322

Descriptive statistics

Standard deviation804.24161
Coefficient of variation (CV)1.1268491
Kurtosis8.4848156
Mean713.70833
Median Absolute Deviation (MAD)182.5
Skewness2.8305965
Sum17129
Variance646804.56
MonotonicityNot monotonic
2024-04-30T07:41:28.835906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1065 1
 
4.2%
2330 1
 
4.2%
251 1
 
4.2%
188 1
 
4.2%
209 1
 
4.2%
341 1
 
4.2%
616 1
 
4.2%
1686 1
 
4.2%
453 1
 
4.2%
644 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
188 1
4.2%
209 1
4.2%
226 1
4.2%
230 1
4.2%
251 1
4.2%
279 1
4.2%
341 1
4.2%
375 1
4.2%
407 1
4.2%
410 1
4.2%
ValueCountFrequency (%)
3706 1
4.2%
2330 1
4.2%
1686 1
4.2%
1065 1
4.2%
695 1
4.2%
658 1
4.2%
644 1
4.2%
616 1
4.2%
580 1
4.2%
482 1
4.2%

2019년 세대수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean541
Minimum137
Maximum2944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:28.949760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137
5-th percentile155.75
Q1247.25
median326
Q3475.5
95-th percentile1654.7
Maximum2944
Range2807
Interquartile range (IQR)228.25

Descriptive statistics

Standard deviation629.69855
Coefficient of variation (CV)1.163953
Kurtosis9.3981737
Mean541
Median Absolute Deviation (MAD)136
Skewness2.9511519
Sum12984
Variance396520.26
MonotonicityNot monotonic
2024-04-30T07:41:29.094202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
806 1
 
4.2%
1718 1
 
4.2%
190 1
 
4.2%
137 1
 
4.2%
160 1
 
4.2%
260 1
 
4.2%
462 1
 
4.2%
1296 1
 
4.2%
325 1
 
4.2%
473 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
137 1
4.2%
155 1
4.2%
160 1
4.2%
177 1
4.2%
190 1
4.2%
209 1
4.2%
260 1
4.2%
277 1
4.2%
297 1
4.2%
306 1
4.2%
ValueCountFrequency (%)
2944 1
4.2%
1718 1
4.2%
1296 1
4.2%
806 1
4.2%
499 1
4.2%
483 1
4.2%
473 1
4.2%
462 1
4.2%
449 1
4.2%
358 1
4.2%

2019년 인구수
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1074.6667
Minimum265
Maximum5367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:29.217767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum265
5-th percentile274.05
Q1438
median602.5
Q3965
95-th percentile4126.1
Maximum5367
Range5102
Interquartile range (IQR)527

Descriptive statistics

Standard deviation1294.2596
Coefficient of variation (CV)1.2043358
Kurtosis5.9761139
Mean1074.6667
Median Absolute Deviation (MAD)293
Skewness2.5340294
Sum25792
Variance1675107.8
MonotonicityNot monotonic
2024-04-30T07:41:29.322421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
965 2
 
8.3%
1597 1
 
4.2%
4358 1
 
4.2%
333 1
 
4.2%
265 1
 
4.2%
280 1
 
4.2%
459 1
 
4.2%
2812 1
 
4.2%
739 1
 
4.2%
948 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
265 1
4.2%
273 1
4.2%
280 1
4.2%
286 1
4.2%
333 1
4.2%
375 1
4.2%
459 1
4.2%
483 1
4.2%
517 1
4.2%
552 1
4.2%
ValueCountFrequency (%)
5367 1
4.2%
4358 1
4.2%
2812 1
4.2%
1597 1
4.2%
1004 1
4.2%
965 2
8.3%
948 1
4.2%
804 1
4.2%
739 1
4.2%
650 1
4.2%

2020년 건수
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean782.95833
Minimum202
Maximum3999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:29.419936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202
5-th percentile212.25
Q1386.75
median474.5
Q3754
95-th percentile2513.05
Maximum3999
Range3797
Interquartile range (IQR)367.25

Descriptive statistics

Standard deviation877.11233
Coefficient of variation (CV)1.1202542
Kurtosis8.0694255
Mean782.95833
Median Absolute Deviation (MAD)196.5
Skewness2.7745302
Sum18791
Variance769326.04
MonotonicityNot monotonic
2024-04-30T07:41:29.530759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
754 2
 
8.3%
1217 1
 
4.2%
2647 1
 
4.2%
285 1
 
4.2%
202 1
 
4.2%
242 1
 
4.2%
444 1
 
4.2%
678 1
 
4.2%
1754 1
 
4.2%
496 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
202 1
4.2%
207 1
4.2%
242 1
4.2%
244 1
4.2%
285 1
4.2%
359 1
4.2%
396 1
4.2%
398 1
4.2%
410 1
4.2%
412 1
4.2%
ValueCountFrequency (%)
3999 1
4.2%
2647 1
4.2%
1754 1
4.2%
1217 1
4.2%
774 1
4.2%
754 2
8.3%
678 1
4.2%
661 1
4.2%
509 1
4.2%
496 1
4.2%

2020년 세대수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean593.5
Minimum144
Maximum3179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:29.634856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum144
5-th percentile154.35
Q1281
median347
Q3530.25
95-th percentile1942.05
Maximum3179
Range3035
Interquartile range (IQR)249.25

Descriptive statistics

Standard deviation694.46213
Coefficient of variation (CV)1.1701131
Kurtosis8.6345438
Mean593.5
Median Absolute Deviation (MAD)150
Skewness2.8641881
Sum14244
Variance482277.65
MonotonicityNot monotonic
2024-04-30T07:41:30.035638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
926 1
 
4.2%
2052 1
 
4.2%
208 1
 
4.2%
150 1
 
4.2%
190 1
 
4.2%
322 1
 
4.2%
519 1
 
4.2%
1319 1
 
4.2%
356 1
 
4.2%
528 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
144 1
4.2%
150 1
4.2%
179 1
4.2%
190 1
4.2%
208 1
4.2%
254 1
4.2%
290 1
4.2%
297 1
4.2%
315 1
4.2%
322 1
4.2%
ValueCountFrequency (%)
3179 1
4.2%
2052 1
4.2%
1319 1
4.2%
926 1
4.2%
580 1
4.2%
537 1
4.2%
528 1
4.2%
519 1
4.2%
490 1
4.2%
378 1
4.2%

2020년 인구수
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1157.875
Minimum259
Maximum5926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:30.163156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum259
5-th percentile289.15
Q1503.75
median589.5
Q31009.25
95-th percentile4526.5
Maximum5926
Range5667
Interquartile range (IQR)505.5

Descriptive statistics

Standard deviation1423.4429
Coefficient of variation (CV)1.229358
Kurtosis6.3262097
Mean1157.875
Median Absolute Deviation (MAD)279
Skewness2.591573
Sum27789
Variance2026189.8
MonotonicityNot monotonic
2024-04-30T07:41:30.290310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
584 2
 
8.3%
1828 1
 
4.2%
485 1
 
4.2%
360 1
 
4.2%
259 1
 
4.2%
314 1
 
4.2%
968 1
 
4.2%
2835 1
 
4.2%
746 1
 
4.2%
990 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
259 1
4.2%
286 1
4.2%
307 1
4.2%
314 1
4.2%
360 1
4.2%
485 1
4.2%
510 1
4.2%
528 1
4.2%
546 1
4.2%
552 1
4.2%
ValueCountFrequency (%)
5926 1
4.2%
4825 1
4.2%
2835 1
4.2%
1828 1
4.2%
1111 1
4.2%
1067 1
4.2%
990 1
4.2%
968 1
4.2%
886 1
4.2%
746 1
4.2%

2021년 건수
Real number (ℝ)

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean774.58333
Minimum212
Maximum3468
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:30.414825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum212
5-th percentile222
Q1373.75
median450.5
Q3729.25
95-th percentile3047.85
Maximum3468
Range3256
Interquartile range (IQR)355.5

Descriptive statistics

Standard deviation867.38186
Coefficient of variation (CV)1.1198044
Kurtosis5.925839
Mean774.58333
Median Absolute Deviation (MAD)172.5
Skewness2.5433544
Sum18590
Variance752351.3
MonotonicityNot monotonic
2024-04-30T07:41:30.533119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
384 2
 
8.3%
222 2
 
8.3%
1161 1
 
4.2%
318 1
 
4.2%
251 1
 
4.2%
723 1
 
4.2%
1687 1
 
4.2%
482 1
 
4.2%
803 1
 
4.2%
419 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
212 1
4.2%
222 2
8.3%
251 1
4.2%
318 1
4.2%
370 1
4.2%
375 1
4.2%
383 1
4.2%
384 2
8.3%
387 1
4.2%
419 1
4.2%
ValueCountFrequency (%)
3468 1
4.2%
3288 1
4.2%
1687 1
4.2%
1161 1
4.2%
803 1
4.2%
748 1
4.2%
723 1
4.2%
719 1
4.2%
596 1
4.2%
497 1
4.2%

2021년 세대수
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean596.20833
Minimum160
Maximum2782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:30.658897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160
5-th percentile165.35
Q1257
median330.5
Q3566.75
95-th percentile2453.55
Maximum2782
Range2622
Interquartile range (IQR)309.75

Descriptive statistics

Standard deviation702.05555
Coefficient of variation (CV)1.1775339
Kurtosis6.2010029
Mean596.20833
Median Absolute Deviation (MAD)136.5
Skewness2.6003387
Sum14309
Variance492882
MonotonicityNot monotonic
2024-04-30T07:41:30.793780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
299 2
 
8.3%
900 1
 
4.2%
2661 1
 
4.2%
236 1
 
4.2%
164 1
 
4.2%
186 1
 
4.2%
272 1
 
4.2%
566 1
 
4.2%
1278 1
 
4.2%
370 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
160 1
4.2%
164 1
4.2%
173 1
4.2%
186 1
4.2%
227 1
4.2%
236 1
4.2%
264 1
4.2%
272 1
4.2%
287 1
4.2%
295 1
4.2%
ValueCountFrequency (%)
2782 1
4.2%
2661 1
4.2%
1278 1
4.2%
900 1
4.2%
573 1
4.2%
569 1
4.2%
566 1
4.2%
522 1
4.2%
459 1
4.2%
405 1
4.2%

2021년 인구수
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1174.375
Minimum262
Maximum6606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:30.905486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum262
5-th percentile273.65
Q1485
median594.5
Q31065.75
95-th percentile4590.55
Maximum6606
Range6344
Interquartile range (IQR)580.75

Descriptive statistics

Standard deviation1530.3547
Coefficient of variation (CV)1.3031227
Kurtosis7.6665389
Mean1174.375
Median Absolute Deviation (MAD)246
Skewness2.7920431
Sum28185
Variance2341985.6
MonotonicityNot monotonic
2024-04-30T07:41:31.018648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
532 2
 
8.3%
1706 1
 
4.2%
583 1
 
4.2%
391 1
 
4.2%
283 1
 
4.2%
316 1
 
4.2%
506 1
 
4.2%
1113 1
 
4.2%
2684 1
 
4.2%
741 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
262 1
4.2%
272 1
4.2%
283 1
4.2%
316 1
4.2%
391 1
4.2%
461 1
4.2%
493 1
4.2%
506 1
4.2%
532 2
8.3%
574 1
4.2%
ValueCountFrequency (%)
6606 1
4.2%
4927 1
4.2%
2684 1
4.2%
1706 1
4.2%
1114 1
4.2%
1113 1
4.2%
1050 1
4.2%
958 1
4.2%
808 1
4.2%
741 1
4.2%

2022년 건수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean646.75
Minimum190
Maximum3074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:31.122910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190
5-th percentile202.75
Q1326
median399.5
Q3586
95-th percentile2002.95
Maximum3074
Range2884
Interquartile range (IQR)260

Descriptive statistics

Standard deviation677.15583
Coefficient of variation (CV)1.0470133
Kurtosis7.2721387
Mean646.75
Median Absolute Deviation (MAD)146.5
Skewness2.6582606
Sum15522
Variance458540.02
MonotonicityNot monotonic
2024-04-30T07:41:31.234941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
974 1
 
4.2%
2085 1
 
4.2%
261 1
 
4.2%
207 1
 
4.2%
209 1
 
4.2%
341 1
 
4.2%
550 1
 
4.2%
1538 1
 
4.2%
404 1
 
4.2%
607 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
190 1
4.2%
202 1
4.2%
207 1
4.2%
209 1
4.2%
261 1
4.2%
311 1
4.2%
331 1
4.2%
341 1
4.2%
357 1
4.2%
362 1
4.2%
ValueCountFrequency (%)
3074 1
4.2%
2085 1
4.2%
1538 1
4.2%
974 1
4.2%
651 1
4.2%
607 1
4.2%
579 1
4.2%
550 1
4.2%
542 1
4.2%
494 1
4.2%

2022년 세대수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean490.58333
Minimum145
Maximum2425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:31.347905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum145
5-th percentile152.9
Q1237.5
median302
Q3439.25
95-th percentile1519.95
Maximum2425
Range2280
Interquartile range (IQR)201.75

Descriptive statistics

Standard deviation529.24425
Coefficient of variation (CV)1.078806
Kurtosis7.8770279
Mean490.58333
Median Absolute Deviation (MAD)108
Skewness2.7494438
Sum11774
Variance280099.47
MonotonicityNot monotonic
2024-04-30T07:41:31.473147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
726 1
 
4.2%
1581 1
 
4.2%
196 1
 
4.2%
164 1
 
4.2%
152 1
 
4.2%
236 1
 
4.2%
403 1
 
4.2%
1174 1
 
4.2%
290 1
 
4.2%
440 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
145 1
4.2%
152 1
4.2%
158 1
4.2%
164 1
4.2%
196 1
4.2%
236 1
4.2%
238 1
4.2%
244 1
4.2%
268 1
4.2%
273 1
4.2%
ValueCountFrequency (%)
2425 1
4.2%
1581 1
4.2%
1174 1
4.2%
726 1
4.2%
477 1
4.2%
440 1
4.2%
439 1
4.2%
412 1
4.2%
403 1
4.2%
376 1
4.2%

2022년 인구수
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean898.75
Minimum231
Maximum3973
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:31.591482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum231
5-th percentile235.2
Q1422.75
median531
Q3776
95-th percentile3597.65
Maximum3973
Range3742
Interquartile range (IQR)353.25

Descriptive statistics

Standard deviation1022.0482
Coefficient of variation (CV)1.1371886
Kurtosis5.2473399
Mean898.75
Median Absolute Deviation (MAD)230.5
Skewness2.4406003
Sum21570
Variance1044582.5
MonotonicityNot monotonic
2024-04-30T07:41:31.705061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
231 2
 
8.3%
1325 1
 
4.2%
425 1
 
4.2%
302 1
 
4.2%
267 1
 
4.2%
259 1
 
4.2%
432 1
 
4.2%
772 1
 
4.2%
2315 1
 
4.2%
631 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
231 2
8.3%
259 1
4.2%
267 1
4.2%
302 1
4.2%
416 1
4.2%
425 1
4.2%
432 1
4.2%
443 1
4.2%
447 1
4.2%
453 1
4.2%
ValueCountFrequency (%)
3973 1
4.2%
3824 1
4.2%
2315 1
4.2%
1325 1
4.2%
814 1
4.2%
788 1
4.2%
772 1
4.2%
763 1
4.2%
747 1
4.2%
650 1
4.2%

2023년 건수
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean671.125
Minimum201
Maximum3156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:31.821223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201
5-th percentile206.15
Q1354.25
median435
Q3663.5
95-th percentile1876.2
Maximum3156
Range2955
Interquartile range (IQR)309.25

Descriptive statistics

Standard deviation675.41371
Coefficient of variation (CV)1.0063903
Kurtosis7.8633365
Mean671.125
Median Absolute Deviation (MAD)186.5
Skewness2.6969934
Sum16107
Variance456183.68
MonotonicityNot monotonic
2024-04-30T07:41:31.936426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
355 2
 
8.3%
1022 1
 
4.2%
1923 1
 
4.2%
295 1
 
4.2%
206 1
 
4.2%
227 1
 
4.2%
663 1
 
4.2%
1611 1
 
4.2%
481 1
 
4.2%
667 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
201 1
4.2%
206 1
4.2%
207 1
4.2%
227 1
4.2%
295 1
4.2%
352 1
4.2%
355 2
8.3%
361 1
4.2%
366 1
4.2%
409 1
4.2%
ValueCountFrequency (%)
3156 1
4.2%
1923 1
4.2%
1611 1
4.2%
1022 1
4.2%
667 1
4.2%
665 1
4.2%
663 1
4.2%
634 1
4.2%
609 1
4.2%
481 1
4.2%

2023년 세대수
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.41667
Minimum143
Maximum2483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:32.053958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143
5-th percentile150.9
Q1255
median329.5
Q3461.5
95-th percentile1400.1
Maximum2483
Range2340
Interquartile range (IQR)206.5

Descriptive statistics

Standard deviation525.79546
Coefficient of variation (CV)1.0507153
Kurtosis8.7915547
Mean500.41667
Median Absolute Deviation (MAD)122.5
Skewness2.8362732
Sum12010
Variance276460.86
MonotonicityNot monotonic
2024-04-30T07:41:32.163859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
255 2
 
8.3%
748 1
 
4.2%
1434 1
 
4.2%
217 1
 
4.2%
159 1
 
4.2%
156 1
 
4.2%
475 1
 
4.2%
1208 1
 
4.2%
341 1
 
4.2%
481 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
143 1
4.2%
150 1
4.2%
156 1
4.2%
159 1
4.2%
217 1
4.2%
255 2
8.3%
262 1
4.2%
266 1
4.2%
269 1
4.2%
308 1
4.2%
ValueCountFrequency (%)
2483 1
4.2%
1434 1
4.2%
1208 1
4.2%
748 1
4.2%
481 1
4.2%
475 1
4.2%
457 1
4.2%
454 1
4.2%
450 1
4.2%
367 1
4.2%

2023년 인구수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean956.70833
Minimum237
Maximum4233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T07:41:32.268893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237
5-th percentile250.85
Q1458.75
median539.5
Q3932.75
95-th percentile3264.45
Maximum4233
Range3996
Interquartile range (IQR)474

Descriptive statistics

Standard deviation1011.8871
Coefficient of variation (CV)1.0576756
Kurtosis5.0758318
Mean956.70833
Median Absolute Deviation (MAD)253.5
Skewness2.3435134
Sum22961
Variance1023915.5
MonotonicityNot monotonic
2024-04-30T07:41:32.389244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1496 1
 
4.2%
3399 1
 
4.2%
367 1
 
4.2%
288 1
 
4.2%
284 1
 
4.2%
459 1
 
4.2%
987 1
 
4.2%
2502 1
 
4.2%
714 1
 
4.2%
965 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
237 1
4.2%
245 1
4.2%
284 1
4.2%
288 1
4.2%
367 1
4.2%
458 1
4.2%
459 1
4.2%
467 1
4.2%
491 1
4.2%
502 1
4.2%
ValueCountFrequency (%)
4233 1
4.2%
3399 1
4.2%
2502 1
4.2%
1496 1
4.2%
987 1
4.2%
965 1
4.2%
922 1
4.2%
875 1
4.2%
870 1
4.2%
714 1
4.2%

Sample

시도자치구2015년 건수2015년 세대수2015년 인구수2016년 건수2016년 세대수2016년 인구수2017년 건수2017년 세대수2017년 인구수2018년 건수2018년 세대수2018년 인구수2019년 건수2019년 세대수2019년 인구수2020년 건수2020년 세대수2020년 인구수2021년 건수2021년 세대수2021년 인구수2022년 건수2022년 세대수2022년 인구수2023년 건수2023년 세대수2023년 인구수
0서울특별시강남구1079789181810667681721983711155411889011899106580615971217926182811619001706974726132510227481496
1서울특별시강동구315222463280202404272197407296207404279209375359254485370227493331238416366262522
2서울특별시강북구197132272238168351191134286242177322230177273244179307222173272202158231207150245
3서울특별시강서구552363870650462104161540587265848596169549910047545371067719522958651477814665457922
4서울특별시관악구327626185490350527795877332326295293349427955241370629445367399931795926346827824927307424253973315624834233
5서울특별시광진구436344585399299539420318536500405659461358601493378595497405606494376589442354550
6서울특별시구로구67549710497015181124615453948720528111065848396577458011117485691050579439763634450870
7서울특별시금천구453320688480365745429297607472344662482353650509367697491362667487363650472367599
8서울특별시노원구352247514386282588349250496403306583410297552410290552375264532362273443355255458
9서울특별시도봉구179135274214151297194138265186138241226155286207144286212160262190145231201143237
시도자치구2015년 건수2015년 세대수2015년 인구수2016년 건수2016년 세대수2016년 인구수2017년 건수2017년 세대수2017년 인구수2018년 건수2018년 세대수2018년 인구수2019년 건수2019년 세대수2019년 인구수2020년 건수2020년 세대수2020년 인구수2021년 건수2021년 세대수2021년 인구수2022년 건수2022년 세대수2022년 인구수2023년 건수2023년 세대수2023년 인구수
14서울특별시성동구320231476302227451303209421378291541414323604398297546383299583311244425361269491
15서울특별시성북구392280572454323626387282515436334646423327555456338584419295574395314473428318529
16서울특별시송파구5703948905633908265403897786074588946444739487545289908035731114607440788667481965
17서울특별시양천구410290677483351764433314677473349782453325739496356746482370741404290631481341714
18서울특별시영등포구176613623221230418094463180613603198169713362853168612962812175413192835168712782684153811742315161112082502
19서울특별시용산구6324821056626461107752537785768150710086164629656785199687235661113550403772663475987
20서울특별시은평구355244502373260513338228498344271445341260459444322584384272506341236432355255459
21서울특별시종로구204152289234169289191132245206152267209160280242190314251186316209152259227156284
22서울특별시중구194138292190142296181141249186141235188137265202150259222164283207164267206159288
23서울특별시중랑구263186370288195405263183354265198351251190333285208360318236391261196302295217367