Overview

Dataset statistics

Number of variables24
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.1 KiB
Average record size in memory216.0 B

Variable types

Categorical1
Text1
Numeric22

Dataset

Description서울시 및 경기도 지역의 월별 임출산 바우처 신청 현황1. 시도/시군구: 서울특별시, 경기도 지역(시군구 단위)2. 기간: 2022년 1월 ~ 2023년 8월(월 단위)※ 민원인의 제공 신청에 따른 제공 건으로 2023.10.16. 발췌
Author국민건강보험공단
URLhttps://www.data.go.kr/data/15124502/fileData.do

Alerts

시군구 has unique valuesUnique
2022년계 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:31:28.899057
Analysis finished2023-12-11 23:31:29.095858
Duration0.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
경기도
42 
서울특별시
25 

Length

Max length5
Median length3
Mean length3.7462687
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 42
62.7%
서울특별시 25
37.3%

Length

2023-12-12T08:31:29.158839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:31:29.263735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 42
62.7%
서울특별시 25
37.3%

시군구
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T08:31:29.466004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length4.119403
Min length2

Characters and Unicode

Total characters276
Distinct characters79
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

Unique67 ?
Unique (%)100.0%

Sample

1st row종로구
2nd row중구
3rd row용산구
4th row성동구
5th row광진구
ValueCountFrequency (%)
수원시 4
 
4.8%
고양시 3
 
3.6%
용인시 3
 
3.6%
성남시 3
 
3.6%
안양시 2
 
2.4%
안산시 2
 
2.4%
일산동구 1
 
1.2%
남양주시 1
 
1.2%
구리시 1
 
1.2%
과천시 1
 
1.2%
Other values (63) 63
75.0%
2023-12-12T08:31:29.801635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 44
 
15.9%
시 40
 
14.5%
17
 
6.2%
양 10
 
3.6%
천 8
 
2.9%
안 8
 
2.9%
원 7
 
2.5%
성 7
 
2.5%
동 7
 
2.5%
남 6
 
2.2%
Other values (69) 122
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 259
93.8%
Space Separator 17
 
6.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 44
 
17.0%
시 40
 
15.4%
양 10
 
3.9%
천 8
 
3.1%
안 8
 
3.1%
원 7
 
2.7%
성 7
 
2.7%
동 7
 
2.7%
남 6
 
2.3%
수 6
 
2.3%
Other values (68) 116
44.8%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 259
93.8%
Common 17
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 44
 
17.0%
시 40
 
15.4%
양 10
 
3.9%
천 8
 
3.1%
안 8
 
3.1%
원 7
 
2.7%
성 7
 
2.7%
동 7
 
2.7%
남 6
 
2.3%
수 6
 
2.3%
Other values (68) 116
44.8%
Common
ValueCountFrequency (%)
17
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 259
93.8%
ASCII 17
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 44
 
17.0%
시 40
 
15.4%
양 10
 
3.9%
천 8
 
3.1%
안 8
 
3.1%
원 7
 
2.7%
성 7
 
2.7%
동 7
 
2.7%
남 6
 
2.3%
수 6
 
2.3%
Other values (68) 116
44.8%
ASCII
ValueCountFrequency (%)
17
100.0%

2022년계
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2866.4776
Minimum283
Maximum10195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:29.941214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum283
5-th percentile655.8
Q11826.5
median2624
Q33578
95-th percentile5743.1
Maximum10195
Range9912
Interquartile range (IQR)1751.5

Descriptive statistics

Standard deviation1681.8452
Coefficient of variation (CV)0.58672887
Kurtosis4.2396878
Mean2866.4776
Median Absolute Deviation (MAD)882
Skewness1.3954838
Sum192054
Variance2828603.2
MonotonicityNot monotonic
2023-12-12T08:31:30.329321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
833 1
 
1.5%
2046 1
 
1.5%
2367 1
 
1.5%
5020 1
 
1.5%
2009 1
 
1.5%
5713 1
 
1.5%
1445 1
 
1.5%
895 1
 
1.5%
1982 1
 
1.5%
986 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
283 1
1.5%
287 1
1.5%
553 1
1.5%
642 1
1.5%
688 1
1.5%
803 1
1.5%
833 1
1.5%
895 1
1.5%
986 1
1.5%
1297 1
1.5%
ValueCountFrequency (%)
10195 1
1.5%
6101 1
1.5%
5836 1
1.5%
5756 1
1.5%
5713 1
1.5%
5127 1
1.5%
5020 1
1.5%
4987 1
1.5%
4605 1
1.5%
4249 1
1.5%

2022년1월
Real number (ℝ)

Distinct65
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean884.29851
Minimum80
Maximum3312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:30.470589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile207.9
Q1535
median856
Q31119.5
95-th percentile1737.2
Maximum3312
Range3232
Interquartile range (IQR)584.5

Descriptive statistics

Standard deviation533.99543
Coefficient of variation (CV)0.60386332
Kurtosis5.2865293
Mean884.29851
Median Absolute Deviation (MAD)301
Skewness1.5790556
Sum59248
Variance285151.12
MonotonicityNot monotonic
2023-12-12T08:31:30.598950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
517 2
 
3.0%
80 2
 
3.0%
236 1
 
1.5%
1617 1
 
1.5%
677 1
 
1.5%
1742 1
 
1.5%
433 1
 
1.5%
258 1
 
1.5%
688 1
 
1.5%
618 1
 
1.5%
Other values (55) 55
82.1%
ValueCountFrequency (%)
80 2
3.0%
162 1
1.5%
207 1
1.5%
210 1
1.5%
236 1
1.5%
241 1
1.5%
258 1
1.5%
295 1
1.5%
404 1
1.5%
433 1
1.5%
ValueCountFrequency (%)
3312 1
1.5%
1950 1
1.5%
1792 1
1.5%
1742 1
1.5%
1726 1
1.5%
1666 1
1.5%
1617 1
1.5%
1572 1
1.5%
1440 1
1.5%
1309 1
1.5%

2022년2월
Real number (ℝ)

Distinct59
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256.71642
Minimum30
Maximum898
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:30.721263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile63.9
Q1151.5
median242
Q3322.5
95-th percentile505.2
Maximum898
Range868
Interquartile range (IQR)171

Descriptive statistics

Standard deviation152.19563
Coefficient of variation (CV)0.59285506
Kurtosis3.4067275
Mean256.71642
Median Absolute Deviation (MAD)88
Skewness1.2729487
Sum17200
Variance23163.509
MonotonicityNot monotonic
2023-12-12T08:31:30.845687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
431 2
 
3.0%
216 2
 
3.0%
186 2
 
3.0%
78 2
 
3.0%
297 2
 
3.0%
321 2
 
3.0%
295 2
 
3.0%
107 2
 
3.0%
430 1
 
1.5%
34 1
 
1.5%
Other values (49) 49
73.1%
ValueCountFrequency (%)
30 1
1.5%
34 1
1.5%
42 1
1.5%
63 1
1.5%
66 1
1.5%
78 2
3.0%
90 1
1.5%
98 1
1.5%
107 2
3.0%
135 1
1.5%
ValueCountFrequency (%)
898 1
1.5%
549 1
1.5%
508 1
1.5%
507 1
1.5%
501 1
1.5%
487 1
1.5%
431 2
3.0%
430 1
1.5%
418 1
1.5%
393 1
1.5%

2022년3월
Real number (ℝ)

Distinct62
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean214.04478
Minimum19
Maximum726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:30.976455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile44.2
Q1135.5
median194
Q3272.5
95-th percentile431.4
Maximum726
Range707
Interquartile range (IQR)137

Descriptive statistics

Standard deviation127.05909
Coefficient of variation (CV)0.59360988
Kurtosis2.8124947
Mean214.04478
Median Absolute Deviation (MAD)74
Skewness1.2032099
Sum14341
Variance16144.013
MonotonicityNot monotonic
2023-12-12T08:31:31.105393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
154 3
 
4.5%
276 3
 
4.5%
162 2
 
3.0%
62 1
 
1.5%
68 1
 
1.5%
102 1
 
1.5%
369 1
 
1.5%
452 1
 
1.5%
100 1
 
1.5%
139 1
 
1.5%
Other values (52) 52
77.6%
ValueCountFrequency (%)
19 1
1.5%
22 1
1.5%
41 1
1.5%
43 1
1.5%
47 1
1.5%
62 1
1.5%
63 1
1.5%
68 1
1.5%
71 1
1.5%
100 1
1.5%
ValueCountFrequency (%)
726 1
1.5%
486 1
1.5%
452 1
1.5%
435 1
1.5%
423 1
1.5%
389 1
1.5%
369 1
1.5%
365 1
1.5%
359 1
1.5%
350 1
1.5%

2022년4월
Real number (ℝ)

Distinct60
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean173.26866
Minimum15
Maximum590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:31.274622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile38.2
Q1109
median159
Q3221.5
95-th percentile341.4
Maximum590
Range575
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation99.423121
Coefficient of variation (CV)0.57380904
Kurtosis3.5387928
Mean173.26866
Median Absolute Deviation (MAD)55
Skewness1.2747128
Sum11609
Variance9884.957
MonotonicityNot monotonic
2023-12-12T08:31:31.428018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 2
 
3.0%
206 2
 
3.0%
109 2
 
3.0%
104 2
 
3.0%
273 2
 
3.0%
191 2
 
3.0%
153 2
 
3.0%
271 1
 
1.5%
159 1
 
1.5%
126 1
 
1.5%
Other values (50) 50
74.6%
ValueCountFrequency (%)
15 1
1.5%
21 1
1.5%
34 1
1.5%
37 1
1.5%
41 1
1.5%
52 2
3.0%
57 1
1.5%
59 1
1.5%
80 1
1.5%
87 1
1.5%
ValueCountFrequency (%)
590 1
1.5%
391 1
1.5%
353 1
1.5%
342 1
1.5%
340 1
1.5%
304 1
1.5%
281 1
1.5%
273 2
3.0%
271 1
1.5%
261 1
1.5%

2022년5월
Real number (ℝ)

Distinct57
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.43284
Minimum17
Maximum595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:31.553878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile41.6
Q1106
median156
Q3213
95-th percentile344.5
Maximum595
Range578
Interquartile range (IQR)107

Descriptive statistics

Standard deviation101.8612
Coefficient of variation (CV)0.58395656
Kurtosis3.1093387
Mean174.43284
Median Absolute Deviation (MAD)56
Skewness1.2065751
Sum11687
Variance10375.704
MonotonicityNot monotonic
2023-12-12T08:31:31.687386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209 3
 
4.5%
274 3
 
4.5%
41 2
 
3.0%
198 2
 
3.0%
210 2
 
3.0%
92 2
 
3.0%
131 2
 
3.0%
145 2
 
3.0%
134 1
 
1.5%
94 1
 
1.5%
Other values (47) 47
70.1%
ValueCountFrequency (%)
17 1
1.5%
19 1
1.5%
41 2
3.0%
43 1
1.5%
45 1
1.5%
53 1
1.5%
59 1
1.5%
63 1
1.5%
69 1
1.5%
81 1
1.5%
ValueCountFrequency (%)
595 1
 
1.5%
369 1
 
1.5%
362 1
 
1.5%
346 1
 
1.5%
341 1
 
1.5%
318 1
 
1.5%
304 1
 
1.5%
298 1
 
1.5%
274 3
4.5%
269 1
 
1.5%

2022년6월
Real number (ℝ)

Distinct63
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177.40299
Minimum23
Maximum640
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:31.807041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile40.9
Q1113.5
median170
Q3226.5
95-th percentile338.4
Maximum640
Range617
Interquartile range (IQR)113

Descriptive statistics

Standard deviation103.84897
Coefficient of variation (CV)0.58538455
Kurtosis4.7213951
Mean177.40299
Median Absolute Deviation (MAD)57
Skewness1.4680825
Sum11886
Variance10784.608
MonotonicityNot monotonic
2023-12-12T08:31:31.915920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126 2
 
3.0%
170 2
 
3.0%
134 2
 
3.0%
88 2
 
3.0%
59 1
 
1.5%
49 1
 
1.5%
309 1
 
1.5%
124 1
 
1.5%
339 1
 
1.5%
84 1
 
1.5%
Other values (53) 53
79.1%
ValueCountFrequency (%)
23 1
1.5%
24 1
1.5%
33 1
1.5%
40 1
1.5%
43 1
1.5%
49 1
1.5%
52 1
1.5%
57 1
1.5%
59 1
1.5%
76 1
1.5%
ValueCountFrequency (%)
640 1
1.5%
372 1
1.5%
371 1
1.5%
339 1
1.5%
337 1
1.5%
324 1
1.5%
311 1
1.5%
309 1
1.5%
290 1
1.5%
273 1
1.5%

2022년7월
Real number (ℝ)

Distinct62
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177.22388
Minimum18
Maximum595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:32.038677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile39.4
Q1117
median162
Q3224
95-th percentile369.9
Maximum595
Range577
Interquartile range (IQR)107

Descriptive statistics

Standard deviation102.11637
Coefficient of variation (CV)0.57619981
Kurtosis3.258223
Mean177.22388
Median Absolute Deviation (MAD)53
Skewness1.2780162
Sum11874
Variance10427.752
MonotonicityNot monotonic
2023-12-12T08:31:32.176732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
215 2
 
3.0%
137 2
 
3.0%
120 2
 
3.0%
162 2
 
3.0%
229 2
 
3.0%
45 1
 
1.5%
327 1
 
1.5%
116 1
 
1.5%
372 1
 
1.5%
92 1
 
1.5%
Other values (52) 52
77.6%
ValueCountFrequency (%)
18 1
1.5%
24 1
1.5%
31 1
1.5%
37 1
1.5%
45 1
1.5%
50 1
1.5%
57 1
1.5%
58 1
1.5%
71 1
1.5%
73 1
1.5%
ValueCountFrequency (%)
595 1
1.5%
389 1
1.5%
385 1
1.5%
372 1
1.5%
365 1
1.5%
327 1
1.5%
311 1
1.5%
301 1
1.5%
259 1
1.5%
256 1
1.5%

2022년8월
Real number (ℝ)

Distinct62
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.83582
Minimum17
Maximum618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:32.298131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile34.6
Q1116.5
median164
Q3224.5
95-th percentile341.7
Maximum618
Range601
Interquartile range (IQR)108

Descriptive statistics

Standard deviation102.4727
Coefficient of variation (CV)0.58277489
Kurtosis3.9889781
Mean175.83582
Median Absolute Deviation (MAD)56
Skewness1.3333993
Sum11781
Variance10500.654
MonotonicityNot monotonic
2023-12-12T08:31:32.422713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96 2
 
3.0%
167 2
 
3.0%
118 2
 
3.0%
186 2
 
3.0%
139 2
 
3.0%
114 1
 
1.5%
304 1
 
1.5%
334 1
 
1.5%
92 1
 
1.5%
57 1
 
1.5%
Other values (52) 52
77.6%
ValueCountFrequency (%)
17 1
1.5%
18 1
1.5%
31 1
1.5%
34 1
1.5%
36 1
1.5%
45 1
1.5%
55 1
1.5%
57 1
1.5%
60 1
1.5%
76 1
1.5%
ValueCountFrequency (%)
618 1
1.5%
372 1
1.5%
355 1
1.5%
345 1
1.5%
334 1
1.5%
316 1
1.5%
304 1
1.5%
293 1
1.5%
288 1
1.5%
285 1
1.5%

2022년9월
Real number (ℝ)

Distinct61
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.53731
Minimum13
Maximum566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:32.529088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile45.3
Q1101.5
median153
Q3205.5
95-th percentile335.1
Maximum566
Range553
Interquartile range (IQR)104

Descriptive statistics

Standard deviation96.071995
Coefficient of variation (CV)0.58389184
Kurtosis3.4777895
Mean164.53731
Median Absolute Deviation (MAD)52
Skewness1.2920045
Sum11024
Variance9229.8281
MonotonicityNot monotonic
2023-12-12T08:31:32.633675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102 2
 
3.0%
200 2
 
3.0%
108 2
 
3.0%
182 2
 
3.0%
101 2
 
3.0%
139 2
 
3.0%
121 1
 
1.5%
277 1
 
1.5%
104 1
 
1.5%
314 1
 
1.5%
Other values (51) 51
76.1%
ValueCountFrequency (%)
13 1
1.5%
16 1
1.5%
27 1
1.5%
45 1
1.5%
46 1
1.5%
47 1
1.5%
48 1
1.5%
51 1
1.5%
68 1
1.5%
71 1
1.5%
ValueCountFrequency (%)
566 1
1.5%
358 1
1.5%
349 1
1.5%
342 1
1.5%
319 1
1.5%
314 1
1.5%
283 1
1.5%
277 1
1.5%
250 1
1.5%
247 1
1.5%

2022년10월
Real number (ℝ)

Distinct62
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.35821
Minimum7
Maximum531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:32.739779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile34.5
Q194.5
median137
Q3201
95-th percentile319.1
Maximum531
Range524
Interquartile range (IQR)106.5

Descriptive statistics

Standard deviation90.620872
Coefficient of variation (CV)0.58330276
Kurtosis3.2354435
Mean155.35821
Median Absolute Deviation (MAD)56
Skewness1.181468
Sum10409
Variance8212.1425
MonotonicityNot monotonic
2023-12-12T08:31:32.855993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
137 2
 
3.0%
186 2
 
3.0%
196 2
 
3.0%
108 2
 
3.0%
90 2
 
3.0%
39 1
 
1.5%
310 1
 
1.5%
135 1
 
1.5%
128 1
 
1.5%
222 1
 
1.5%
Other values (52) 52
77.6%
ValueCountFrequency (%)
7 1
1.5%
19 1
1.5%
31 1
1.5%
33 1
1.5%
38 1
1.5%
39 1
1.5%
40 1
1.5%
47 1
1.5%
51 1
1.5%
64 1
1.5%
ValueCountFrequency (%)
531 1
1.5%
326 1
1.5%
324 1
1.5%
323 1
1.5%
310 1
1.5%
272 1
1.5%
263 1
1.5%
241 1
1.5%
239 1
1.5%
226 1
1.5%

2022년11월
Real number (ℝ)

Distinct62
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.8806
Minimum12
Maximum578
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:32.967420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile31.4
Q197
median140
Q3207
95-th percentile311.9
Maximum578
Range566
Interquartile range (IQR)110

Descriptive statistics

Standard deviation93.938652
Coefficient of variation (CV)0.59499808
Kurtosis4.8323967
Mean157.8806
Median Absolute Deviation (MAD)52
Skewness1.4848102
Sum10578
Variance8824.4704
MonotonicityNot monotonic
2023-12-12T08:31:33.080522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112 2
 
3.0%
139 2
 
3.0%
314 2
 
3.0%
220 2
 
3.0%
230 2
 
3.0%
252 1
 
1.5%
115 1
 
1.5%
105 1
 
1.5%
48 1
 
1.5%
98 1
 
1.5%
Other values (52) 52
77.6%
ValueCountFrequency (%)
12 1
1.5%
13 1
1.5%
23 1
1.5%
29 1
1.5%
37 1
1.5%
48 1
1.5%
50 1
1.5%
52 1
1.5%
60 1
1.5%
77 1
1.5%
ValueCountFrequency (%)
578 1
1.5%
343 1
1.5%
314 2
3.0%
307 1
1.5%
298 1
1.5%
281 1
1.5%
253 1
1.5%
252 1
1.5%
230 2
3.0%
226 1
1.5%

2022년12월
Real number (ℝ)

Distinct57
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.47761
Minimum9
Maximum546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:33.192119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile32.3
Q198.5
median147
Q3198.5
95-th percentile301.8
Maximum546
Range537
Interquartile range (IQR)100

Descriptive statistics

Standard deviation89.513391
Coefficient of variation (CV)0.57573171
Kurtosis4.2702898
Mean155.47761
Median Absolute Deviation (MAD)50
Skewness1.3421683
Sum10417
Variance8012.6472
MonotonicityNot monotonic
2023-12-12T08:31:33.317473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108 3
 
4.5%
39 2
 
3.0%
84 2
 
3.0%
169 2
 
3.0%
303 2
 
3.0%
197 2
 
3.0%
96 2
 
3.0%
175 2
 
3.0%
148 2
 
3.0%
71 1
 
1.5%
Other values (47) 47
70.1%
ValueCountFrequency (%)
9 1
1.5%
20 1
1.5%
29 1
1.5%
32 1
1.5%
33 1
1.5%
39 2
3.0%
51 1
1.5%
66 1
1.5%
71 1
1.5%
77 1
1.5%
ValueCountFrequency (%)
546 1
1.5%
339 1
1.5%
303 2
3.0%
299 1
1.5%
270 1
1.5%
258 1
1.5%
250 1
1.5%
243 1
1.5%
242 1
1.5%
236 1
1.5%

2023년계
Real number (ℝ)

Distinct65
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1282.5075
Minimum113
Maximum4785
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:33.436697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum113
5-th percentile296.6
Q1834.5
median1141
Q31636
95-th percentile2624.7
Maximum4785
Range4672
Interquartile range (IQR)801.5

Descriptive statistics

Standard deviation769.54741
Coefficient of variation (CV)0.60003348
Kurtosis5.3433782
Mean1282.5075
Median Absolute Deviation (MAD)374
Skewness1.6092291
Sum85928
Variance592203.22
MonotonicityNot monotonic
2023-12-12T08:31:33.587869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
848 2
 
3.0%
800 2
 
3.0%
1035 1
 
1.5%
2274 1
 
1.5%
831 1
 
1.5%
2519 1
 
1.5%
613 1
 
1.5%
421 1
 
1.5%
369 1
 
1.5%
1548 1
 
1.5%
Other values (55) 55
82.1%
ValueCountFrequency (%)
113 1
1.5%
160 1
1.5%
239 1
1.5%
293 1
1.5%
305 1
1.5%
369 1
1.5%
386 1
1.5%
421 1
1.5%
481 1
1.5%
582 1
1.5%
ValueCountFrequency (%)
4785 1
1.5%
2733 1
1.5%
2729 1
1.5%
2670 1
1.5%
2519 1
1.5%
2390 1
1.5%
2274 1
1.5%
2143 1
1.5%
2004 1
1.5%
1961 1
1.5%

2023년1월
Real number (ℝ)

Distinct59
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.95522
Minimum16
Maximum635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:33.985882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile33.9
Q199
median158
Q3212.5
95-th percentile353.4
Maximum635
Range619
Interquartile range (IQR)113.5

Descriptive statistics

Standard deviation101.83817
Coefficient of variation (CV)0.60997295
Kurtosis5.662278
Mean166.95522
Median Absolute Deviation (MAD)58
Skewness1.6860637
Sum11186
Variance10371.013
MonotonicityNot monotonic
2023-12-12T08:31:34.107857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 2
 
3.0%
96 2
 
3.0%
167 2
 
3.0%
99 2
 
3.0%
181 2
 
3.0%
191 2
 
3.0%
230 2
 
3.0%
107 2
 
3.0%
139 1
 
1.5%
277 1
 
1.5%
Other values (49) 49
73.1%
ValueCountFrequency (%)
16 1
1.5%
19 1
1.5%
33 2
3.0%
36 1
1.5%
52 1
1.5%
53 1
1.5%
60 1
1.5%
65 1
1.5%
76 1
1.5%
77 1
1.5%
ValueCountFrequency (%)
635 1
1.5%
361 1
1.5%
359 1
1.5%
357 1
1.5%
345 1
1.5%
323 1
1.5%
277 1
1.5%
267 1
1.5%
257 1
1.5%
246 1
1.5%

2023년2월
Real number (ℝ)

Distinct62
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.73134
Minimum16
Maximum575
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:34.255517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile40.3
Q1105
median140
Q3201
95-th percentile305.9
Maximum575
Range559
Interquartile range (IQR)96

Descriptive statistics

Standard deviation90.598445
Coefficient of variation (CV)0.57438454
Kurtosis5.6364905
Mean157.73134
Median Absolute Deviation (MAD)48
Skewness1.5982622
Sum10568
Variance8208.0782
MonotonicityNot monotonic
2023-12-12T08:31:34.399460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 2
 
3.0%
127 2
 
3.0%
104 2
 
3.0%
220 2
 
3.0%
110 2
 
3.0%
45 1
 
1.5%
59 1
 
1.5%
128 1
 
1.5%
274 1
 
1.5%
308 1
 
1.5%
Other values (52) 52
77.6%
ValueCountFrequency (%)
16 2
3.0%
33 1
1.5%
40 1
1.5%
41 1
1.5%
44 1
1.5%
45 1
1.5%
59 1
1.5%
63 1
1.5%
70 1
1.5%
75 1
1.5%
ValueCountFrequency (%)
575 1
1.5%
328 1
1.5%
326 1
1.5%
308 1
1.5%
301 1
1.5%
274 1
1.5%
265 1
1.5%
258 1
1.5%
241 1
1.5%
233 1
1.5%

2023년3월
Real number (ℝ)

Distinct63
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.0597
Minimum12
Maximum577
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:34.533035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile38.8
Q1101
median155
Q3214
95-th percentile349.1
Maximum577
Range565
Interquartile range (IQR)113

Descriptive statistics

Standard deviation100.38636
Coefficient of variation (CV)0.61188918
Kurtosis3.3441709
Mean164.0597
Median Absolute Deviation (MAD)56
Skewness1.3937589
Sum10992
Variance10077.421
MonotonicityNot monotonic
2023-12-12T08:31:34.656146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113 2
 
3.0%
151 2
 
3.0%
111 2
 
3.0%
101 2
 
3.0%
37 1
 
1.5%
120 1
 
1.5%
107 1
 
1.5%
260 1
 
1.5%
97 1
 
1.5%
199 1
 
1.5%
Other values (53) 53
79.1%
ValueCountFrequency (%)
12 1
1.5%
28 1
1.5%
34 1
1.5%
37 1
1.5%
43 1
1.5%
49 1
1.5%
50 1
1.5%
57 1
1.5%
59 1
1.5%
66 1
1.5%
ValueCountFrequency (%)
577 1
1.5%
386 1
1.5%
370 1
1.5%
353 1
1.5%
340 1
1.5%
320 1
1.5%
313 1
1.5%
260 1
1.5%
259 1
1.5%
243 1
1.5%

2023년4월
Real number (ℝ)

Distinct62
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.1791
Minimum8
Maximum529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:34.779120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile31.9
Q187
median133
Q3173
95-th percentile292.6
Maximum529
Range521
Interquartile range (IQR)86

Descriptive statistics

Standard deviation87.174837
Coefficient of variation (CV)0.61313396
Kurtosis4.7755007
Mean142.1791
Median Absolute Deviation (MAD)45
Skewness1.555122
Sum9526
Variance7599.4523
MonotonicityNot monotonic
2023-12-12T08:31:34.914321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164 2
 
3.0%
88 2
 
3.0%
70 2
 
3.0%
86 2
 
3.0%
131 2
 
3.0%
231 1
 
1.5%
90 1
 
1.5%
102 1
 
1.5%
111 1
 
1.5%
93 1
 
1.5%
Other values (52) 52
77.6%
ValueCountFrequency (%)
8 1
1.5%
16 1
1.5%
20 1
1.5%
31 1
1.5%
34 1
1.5%
37 1
1.5%
41 1
1.5%
52 1
1.5%
53 1
1.5%
66 1
1.5%
ValueCountFrequency (%)
529 1
1.5%
324 1
1.5%
299 1
1.5%
295 1
1.5%
287 1
1.5%
285 1
1.5%
254 1
1.5%
235 1
1.5%
231 1
1.5%
221 1
1.5%

2023년5월
Real number (ℝ)

Distinct60
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.85075
Minimum14
Maximum601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:35.038636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile35.3
Q1101
median142
Q3193.5
95-th percentile310.9
Maximum601
Range587
Interquartile range (IQR)92.5

Descriptive statistics

Standard deviation95.81884
Coefficient of variation (CV)0.60702177
Kurtosis5.7086589
Mean157.85075
Median Absolute Deviation (MAD)48
Skewness1.6058063
Sum10576
Variance9181.2501
MonotonicityNot monotonic
2023-12-12T08:31:35.172375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110 2
 
3.0%
112 2
 
3.0%
142 2
 
3.0%
212 2
 
3.0%
256 2
 
3.0%
190 2
 
3.0%
189 2
 
3.0%
76 1
 
1.5%
270 1
 
1.5%
96 1
 
1.5%
Other values (50) 50
74.6%
ValueCountFrequency (%)
14 1
1.5%
18 1
1.5%
21 1
1.5%
35 1
1.5%
36 1
1.5%
40 1
1.5%
44 1
1.5%
46 1
1.5%
58 1
1.5%
61 1
1.5%
ValueCountFrequency (%)
601 1
1.5%
339 1
1.5%
334 1
1.5%
319 1
1.5%
292 1
1.5%
274 1
1.5%
270 1
1.5%
259 1
1.5%
256 2
3.0%
239 1
1.5%

2023년6월
Real number (ℝ)

Distinct59
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.92537
Minimum17
Maximum599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:35.296121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile35.3
Q1103.5
median155
Q3214.5
95-th percentile336.2
Maximum599
Range582
Interquartile range (IQR)111

Descriptive statistics

Standard deviation98.296754
Coefficient of variation (CV)0.59964332
Kurtosis4.7601047
Mean163.92537
Median Absolute Deviation (MAD)55
Skewness1.531783
Sum10983
Variance9662.2519
MonotonicityNot monotonic
2023-12-12T08:31:35.430352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113 2
 
3.0%
103 2
 
3.0%
164 2
 
3.0%
178 2
 
3.0%
136 2
 
3.0%
17 2
 
3.0%
155 2
 
3.0%
173 2
 
3.0%
99 1
 
1.5%
210 1
 
1.5%
Other values (49) 49
73.1%
ValueCountFrequency (%)
17 2
3.0%
31 1
1.5%
35 1
1.5%
36 1
1.5%
44 1
1.5%
48 1
1.5%
50 1
1.5%
72 1
1.5%
73 1
1.5%
74 1
1.5%
ValueCountFrequency (%)
599 1
1.5%
368 1
1.5%
365 1
1.5%
347 1
1.5%
311 1
1.5%
305 1
1.5%
283 1
1.5%
267 1
1.5%
253 1
1.5%
231 1
1.5%

2023년7월
Real number (ℝ)

Distinct61
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.19403
Minimum11
Maximum618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:35.559245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile38.5
Q197
median154
Q3207
95-th percentile321.7
Maximum618
Range607
Interquartile range (IQR)110

Descriptive statistics

Standard deviation98.237227
Coefficient of variation (CV)0.60196581
Kurtosis5.7101255
Mean163.19403
Median Absolute Deviation (MAD)56
Skewness1.6455791
Sum10934
Variance9650.5527
MonotonicityNot monotonic
2023-12-12T08:31:35.677203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188 3
 
4.5%
96 2
 
3.0%
123 2
 
3.0%
206 2
 
3.0%
165 2
 
3.0%
33 1
 
1.5%
148 1
 
1.5%
295 1
 
1.5%
81 1
 
1.5%
60 1
 
1.5%
Other values (51) 51
76.1%
ValueCountFrequency (%)
11 1
1.5%
26 1
1.5%
33 1
1.5%
37 1
1.5%
42 1
1.5%
51 1
1.5%
56 1
1.5%
60 1
1.5%
64 1
1.5%
69 1
1.5%
ValueCountFrequency (%)
618 1
1.5%
347 1
1.5%
330 1
1.5%
328 1
1.5%
307 1
1.5%
298 1
1.5%
295 1
1.5%
292 1
1.5%
273 1
1.5%
238 1
1.5%

2023년8월
Real number (ℝ)

Distinct63
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.61194
Minimum15
Maximum651
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T08:31:35.784207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile32.8
Q1106
median152
Q3213.5
95-th percentile339.1
Maximum651
Range636
Interquartile range (IQR)107.5

Descriptive statistics

Standard deviation103.30859
Coefficient of variation (CV)0.62005516
Kurtosis6.0856925
Mean166.61194
Median Absolute Deviation (MAD)52
Skewness1.7198505
Sum11163
Variance10672.665
MonotonicityNot monotonic
2023-12-12T08:31:35.892285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185 3
 
4.5%
106 2
 
3.0%
181 2
 
3.0%
112 1
 
1.5%
284 1
 
1.5%
99 1
 
1.5%
330 1
 
1.5%
83 1
 
1.5%
54 1
 
1.5%
90 1
 
1.5%
Other values (53) 53
79.1%
ValueCountFrequency (%)
15 1
1.5%
24 1
1.5%
26 1
1.5%
31 1
1.5%
37 1
1.5%
43 1
1.5%
47 1
1.5%
54 1
1.5%
58 1
1.5%
68 1
1.5%
ValueCountFrequency (%)
651 1
1.5%
347 1
1.5%
345 1
1.5%
343 1
1.5%
330 1
1.5%
309 1
1.5%
307 1
1.5%
288 1
1.5%
284 1
1.5%
260 1
1.5%

Sample

시도시군구2022년계2022년1월2022년2월2022년3월2022년4월2022년5월2022년6월2022년7월2022년8월2022년9월2022년10월2022년11월2022년12월2023년계2023년1월2023년2월2023년3월2023년4월2023년5월2023년6월2023년7월2023년8월
0서울특별시종로구83323690625753594555473852393696545494140355143
1서울특별시중구98629598715963575760684760514815263575258726958
2서울특별시용산구1970538187154153123126137125108989512689311811411992111103125111
3서울특별시성동구27728992732001731481711731631531361351481212167131155120142164155178
4서울특별시광진구24337052421781491331431571641451331411431101165127151117124127138152
5서울특별시동대문구25557772121941531771461621411601481391461137134145140139142136154147
6서울특별시중랑구31679082832122062062122251861821861861751426191165182167167189184181
7서울특별시성북구31259652612491972082002111701941681551471383167199156161194155166185
8서울특별시강북구1591465142110929210610990103999984683951047976827374100
9서울특별시도봉구187260315713811810813711111511087929680098981018110583128106
시도시군구2022년계2022년1월2022년2월2022년3월2022년4월2022년5월2022년6월2022년7월2022년8월2022년9월2022년10월2022년11월2022년12월2023년계2023년1월2023년2월2023년3월2023년4월2023년5월2023년6월2023년7월2023년8월
57경기도안성시12974041071048769767776717090665977682766661936479
58경기도김포시498716664303592812983113013162472392812582004257241243215256231273288
59경기도화성시1019533128987265905956405956185665315785464785635575577529601599618651
60경기도광주시332910222952681831971931972222021821831851435183198173157185178177184
61경기도양주시19146051701211109211812014290121114111101312511911899133123165131
62경기도포천시80324178635259435845484037393865340593746485647
63경기도여주시68820766473441525031453350322933341343144363737
64경기도연천군28380301921192418171671220113161612818171115
65경기도가평군287803422151723241813191391601916281614172624
66경기도양평군64221063433745403134463129333053644433436444226