Overview

Dataset statistics

Number of variables18
Number of observations111
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.5 KiB
Average record size in memory161.2 B

Variable types

Text1
Numeric16
Categorical1

Dataset

Description서울특별시 광진구 연령별인구현황에 대한 데이터로, 광진구 1세대 단위 연령, 동별 인구현황에 대한 정보를 제공합니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15052328/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
광진구 is highly overall correlated with 중곡제1동 and 14 other fieldsHigh correlation
중곡제1동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
중곡제2동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
중곡제3동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
중곡제4동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
능동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
구의제1동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
구의제2동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
구의제3동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
광장동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
자양제1동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
자양제2동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
자양제3동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
자양제4동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
화양동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
군자동 is highly overall correlated with 광진구 and 14 other fieldsHigh correlation
연령 has unique valuesUnique
광진구 has 2 (1.8%) zerosZeros
중곡제1동 has 11 (9.9%) zerosZeros
중곡제2동 has 9 (8.1%) zerosZeros
중곡제3동 has 12 (10.8%) zerosZeros
중곡제4동 has 8 (7.2%) zerosZeros
능동 has 11 (9.9%) zerosZeros
구의제1동 has 8 (7.2%) zerosZeros
구의제2동 has 7 (6.3%) zerosZeros
구의제3동 has 7 (6.3%) zerosZeros
광장동 has 8 (7.2%) zerosZeros
자양제1동 has 11 (9.9%) zerosZeros
자양제2동 has 8 (7.2%) zerosZeros
자양제3동 has 9 (8.1%) zerosZeros
자양제4동 has 9 (8.1%) zerosZeros
화양동 has 10 (9.0%) zerosZeros
군자동 has 9 (8.1%) zerosZeros

Reproduction

Analysis started2024-03-14 14:20:34.353636
Analysis finished2024-03-14 14:21:34.130049
Duration59.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연령
Text

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1016.0 B
2024-03-14T23:21:35.339597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.036036
Min length2

Characters and Unicode

Total characters337
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)100.0%

Sample

1st row0세
2nd row1세
3rd row2세
4th row3세
5th row4세
ValueCountFrequency (%)
0세 1
 
0.9%
27세 1
 
0.9%
82세 1
 
0.9%
81세 1
 
0.9%
80세 1
 
0.9%
79세 1
 
0.9%
78세 1
 
0.9%
77세 1
 
0.9%
76세 1
 
0.9%
75세 1
 
0.9%
Other values (102) 102
91.1%
2024-03-14T23:21:36.854670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
32.9%
1 33
 
9.8%
0 22
 
6.5%
2 21
 
6.2%
7 21
 
6.2%
3 21
 
6.2%
4 21
 
6.2%
5 21
 
6.2%
6 21
 
6.2%
8 21
 
6.2%
Other values (4) 24
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 223
66.2%
Other Letter 113
33.5%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33
14.8%
0 22
9.9%
2 21
9.4%
7 21
9.4%
3 21
9.4%
4 21
9.4%
5 21
9.4%
6 21
9.4%
8 21
9.4%
9 21
9.4%
Other Letter
ValueCountFrequency (%)
111
98.2%
1
 
0.9%
1
 
0.9%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 224
66.5%
Hangul 113
33.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 33
14.7%
0 22
9.8%
2 21
9.4%
7 21
9.4%
3 21
9.4%
4 21
9.4%
5 21
9.4%
6 21
9.4%
8 21
9.4%
9 21
9.4%
Hangul
ValueCountFrequency (%)
111
98.2%
1
 
0.9%
1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 224
66.5%
Hangul 113
33.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
111
98.2%
1
 
0.9%
1
 
0.9%
ASCII
ValueCountFrequency (%)
1 33
14.7%
0 22
9.8%
2 21
9.4%
7 21
9.4%
3 21
9.4%
4 21
9.4%
5 21
9.4%
6 21
9.4%
8 21
9.4%
9 21
9.4%

광진구
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct106
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3023.009
Minimum0
Maximum7562
Zeros2
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:37.098990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.5
Q11190
median2485
Q34967.5
95-th percentile6848.5
Maximum7562
Range7562
Interquartile range (IQR)3777.5

Descriptive statistics

Standard deviation2229.5302
Coefficient of variation (CV)0.73752019
Kurtosis-1.1886498
Mean3023.009
Median Absolute Deviation (MAD)2215
Skewness0.17375177
Sum335554
Variance4970804.9
MonotonicityNot monotonic
2024-03-14T23:21:37.398032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3
 
2.7%
4 3
 
2.7%
0 2
 
1.8%
1120 1
 
0.9%
3939 1
 
0.9%
1946 1
 
0.9%
2485 1
 
0.9%
2487 1
 
0.9%
2333 1
 
0.9%
2445 1
 
0.9%
Other values (96) 96
86.5%
ValueCountFrequency (%)
0 2
1.8%
1 3
2.7%
3 1
 
0.9%
4 3
2.7%
12 1
 
0.9%
13 1
 
0.9%
30 1
 
0.9%
33 1
 
0.9%
34 1
 
0.9%
84 1
 
0.9%
ValueCountFrequency (%)
7562 1
0.9%
7427 1
0.9%
7302 1
0.9%
7103 1
0.9%
7048 1
0.9%
7032 1
0.9%
6665 1
0.9%
6448 1
0.9%
5971 1
0.9%
5754 1
0.9%

중곡제1동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct84
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.28829
Minimum0
Maximum446
Zeros11
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:37.738943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q148
median104
Q3225
95-th percentile354
Maximum446
Range446
Interquartile range (IQR)177

Descriptive statistics

Standard deviation116.23256
Coefficient of variation (CV)0.84663126
Kurtosis-0.1906072
Mean137.28829
Median Absolute Deviation (MAD)95
Skewness0.71458548
Sum15239
Variance13510.007
MonotonicityNot monotonic
2024-03-14T23:21:37.989707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
9.9%
66 3
 
2.7%
226 3
 
2.7%
236 3
 
2.7%
57 3
 
2.7%
59 2
 
1.8%
227 2
 
1.8%
20 2
 
1.8%
71 2
 
1.8%
73 2
 
1.8%
Other values (74) 78
70.3%
ValueCountFrequency (%)
0 11
9.9%
1 1
 
0.9%
2 2
 
1.8%
3 2
 
1.8%
6 1
 
0.9%
8 1
 
0.9%
9 1
 
0.9%
16 1
 
0.9%
18 1
 
0.9%
19 1
 
0.9%
ValueCountFrequency (%)
446 1
0.9%
442 1
0.9%
430 1
0.9%
409 1
0.9%
400 1
0.9%
365 1
0.9%
343 1
0.9%
336 1
0.9%
323 1
0.9%
305 1
0.9%

중곡제2동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct89
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.87387
Minimum0
Maximum528
Zeros9
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:38.240988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q159
median148
Q3315.5
95-th percentile401
Maximum528
Range528
Interquartile range (IQR)256.5

Descriptive statistics

Standard deviation143.57628
Coefficient of variation (CV)0.77661746
Kurtosis-1.0614291
Mean184.87387
Median Absolute Deviation (MAD)136
Skewness0.30221546
Sum20521
Variance20614.148
MonotonicityNot monotonic
2024-03-14T23:21:38.500902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
8.1%
1 4
 
3.6%
6 3
 
2.7%
121 3
 
2.7%
334 2
 
1.8%
362 2
 
1.8%
138 2
 
1.8%
110 2
 
1.8%
462 2
 
1.8%
351 2
 
1.8%
Other values (79) 80
72.1%
ValueCountFrequency (%)
0 9
8.1%
1 4
3.6%
3 1
 
0.9%
6 3
 
2.7%
7 2
 
1.8%
17 1
 
0.9%
18 1
 
0.9%
22 1
 
0.9%
23 1
 
0.9%
36 1
 
0.9%
ValueCountFrequency (%)
528 1
0.9%
491 1
0.9%
477 1
0.9%
462 2
1.8%
418 1
0.9%
384 1
0.9%
375 1
0.9%
362 2
1.8%
360 1
0.9%
357 1
0.9%

중곡제3동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct87
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.68468
Minimum0
Maximum366
Zeros12
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:38.842416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q154
median117
Q3238.5
95-th percentile314.5
Maximum366
Range366
Interquartile range (IQR)184.5

Descriptive statistics

Standard deviation108.11812
Coefficient of variation (CV)0.76308964
Kurtosis-1.2713473
Mean141.68468
Median Absolute Deviation (MAD)100
Skewness0.2165214
Sum15727
Variance11689.527
MonotonicityNot monotonic
2024-03-14T23:21:39.107163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
10.8%
58 3
 
2.7%
262 3
 
2.7%
5 2
 
1.8%
190 2
 
1.8%
78 2
 
1.8%
216 2
 
1.8%
228 2
 
1.8%
264 2
 
1.8%
99 2
 
1.8%
Other values (77) 79
71.2%
ValueCountFrequency (%)
0 12
10.8%
1 1
 
0.9%
2 1
 
0.9%
3 1
 
0.9%
5 2
 
1.8%
6 1
 
0.9%
8 1
 
0.9%
10 1
 
0.9%
11 1
 
0.9%
17 1
 
0.9%
ValueCountFrequency (%)
366 1
0.9%
359 1
0.9%
331 1
0.9%
329 1
0.9%
320 1
0.9%
315 1
0.9%
314 1
0.9%
309 1
0.9%
293 1
0.9%
290 1
0.9%

중곡제4동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct91
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean248.59459
Minimum0
Maximum583
Zeros8
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:39.368357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q191
median232
Q3403
95-th percentile530
Maximum583
Range583
Interquartile range (IQR)312

Descriptive statistics

Standard deviation184.49471
Coefficient of variation (CV)0.74215093
Kurtosis-1.3391663
Mean248.59459
Median Absolute Deviation (MAD)155
Skewness0.13817842
Sum27594
Variance34038.298
MonotonicityNot monotonic
2024-03-14T23:21:39.622030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
7.2%
1 4
 
3.6%
530 2
 
1.8%
12 2
 
1.8%
345 2
 
1.8%
348 2
 
1.8%
330 2
 
1.8%
197 2
 
1.8%
357 2
 
1.8%
524 2
 
1.8%
Other values (81) 83
74.8%
ValueCountFrequency (%)
0 8
7.2%
1 4
3.6%
2 1
 
0.9%
3 1
 
0.9%
6 1
 
0.9%
11 1
 
0.9%
12 2
 
1.8%
17 1
 
0.9%
21 1
 
0.9%
31 1
 
0.9%
ValueCountFrequency (%)
583 1
0.9%
553 1
0.9%
551 1
0.9%
550 1
0.9%
537 1
0.9%
530 2
1.8%
527 1
0.9%
525 1
0.9%
524 2
1.8%
516 1
0.9%

능동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct81
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.972973
Minimum0
Maximum353
Zeros11
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:39.937877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q135
median77
Q3149
95-th percentile294.5
Maximum353
Range353
Interquartile range (IQR)114

Descriptive statistics

Standard deviation90.161719
Coefficient of variation (CV)0.90186094
Kurtosis0.48826818
Mean99.972973
Median Absolute Deviation (MAD)63
Skewness0.99728657
Sum11097
Variance8129.1356
MonotonicityNot monotonic
2024-03-14T23:21:40.188928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
9.9%
1 4
 
3.6%
152 3
 
2.7%
45 3
 
2.7%
138 3
 
2.7%
53 2
 
1.8%
193 2
 
1.8%
121 2
 
1.8%
17 2
 
1.8%
5 2
 
1.8%
Other values (71) 77
69.4%
ValueCountFrequency (%)
0 11
9.9%
1 4
 
3.6%
2 1
 
0.9%
4 1
 
0.9%
5 2
 
1.8%
7 1
 
0.9%
8 1
 
0.9%
11 1
 
0.9%
14 1
 
0.9%
17 2
 
1.8%
ValueCountFrequency (%)
353 1
0.9%
352 1
0.9%
337 1
0.9%
335 1
0.9%
306 1
0.9%
303 1
0.9%
286 1
0.9%
283 1
0.9%
260 1
0.9%
229 1
0.9%

구의제1동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct85
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean208.35135
Minimum0
Maximum712
Zeros8
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:40.441651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q174
median152
Q3334.5
95-th percentile566.5
Maximum712
Range712
Interquartile range (IQR)260.5

Descriptive statistics

Standard deviation179.20241
Coefficient of variation (CV)0.86009717
Kurtosis-0.13848577
Mean208.35135
Median Absolute Deviation (MAD)144
Skewness0.76226983
Sum23127
Variance32113.503
MonotonicityNot monotonic
2024-03-14T23:21:40.702666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
7.2%
1 5
 
4.5%
22 3
 
2.7%
78 2
 
1.8%
126 2
 
1.8%
35 2
 
1.8%
309 2
 
1.8%
354 2
 
1.8%
347 2
 
1.8%
371 2
 
1.8%
Other values (75) 81
73.0%
ValueCountFrequency (%)
0 8
7.2%
1 5
4.5%
2 1
 
0.9%
4 1
 
0.9%
6 1
 
0.9%
8 1
 
0.9%
9 1
 
0.9%
17 1
 
0.9%
22 3
 
2.7%
35 2
 
1.8%
ValueCountFrequency (%)
712 1
0.9%
652 1
0.9%
642 1
0.9%
621 1
0.9%
603 1
0.9%
574 1
0.9%
559 1
0.9%
556 1
0.9%
521 1
0.9%
466 1
0.9%

구의제2동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct93
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230.72072
Minimum0
Maximum486
Zeros7
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:40.987939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q192
median231
Q3381.5
95-th percentile444
Maximum486
Range486
Interquartile range (IQR)289.5

Descriptive statistics

Standard deviation157.9283
Coefficient of variation (CV)0.68449986
Kurtosis-1.3811869
Mean230.72072
Median Absolute Deviation (MAD)148
Skewness-0.10009873
Sum25610
Variance24941.349
MonotonicityNot monotonic
2024-03-14T23:21:41.625379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
6.3%
1 3
 
2.7%
4 3
 
2.7%
400 2
 
1.8%
424 2
 
1.8%
203 2
 
1.8%
387 2
 
1.8%
190 2
 
1.8%
328 2
 
1.8%
137 2
 
1.8%
Other values (83) 84
75.7%
ValueCountFrequency (%)
0 7
6.3%
1 3
2.7%
2 2
 
1.8%
3 1
 
0.9%
4 3
2.7%
6 1
 
0.9%
9 1
 
0.9%
18 1
 
0.9%
20 1
 
0.9%
28 1
 
0.9%
ValueCountFrequency (%)
486 1
0.9%
476 1
0.9%
470 1
0.9%
461 1
0.9%
452 1
0.9%
445 1
0.9%
443 1
0.9%
442 1
0.9%
440 1
0.9%
436 1
0.9%

구의제3동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct92
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean250.81081
Minimum0
Maximum552
Zeros7
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:42.023605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1100.5
median239
Q3412
95-th percentile502
Maximum552
Range552
Interquartile range (IQR)311.5

Descriptive statistics

Standard deviation174.89932
Coefficient of variation (CV)0.69733566
Kurtosis-1.3985033
Mean250.81081
Median Absolute Deviation (MAD)166
Skewness-0.035515393
Sum27840
Variance30589.773
MonotonicityNot monotonic
2024-03-14T23:21:42.451051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
6.3%
1 4
 
3.6%
394 3
 
2.7%
412 2
 
1.8%
397 2
 
1.8%
430 2
 
1.8%
224 2
 
1.8%
384 2
 
1.8%
256 2
 
1.8%
5 2
 
1.8%
Other values (82) 83
74.8%
ValueCountFrequency (%)
0 7
6.3%
1 4
3.6%
2 1
 
0.9%
3 1
 
0.9%
5 2
 
1.8%
11 1
 
0.9%
13 1
 
0.9%
14 1
 
0.9%
22 1
 
0.9%
23 1
 
0.9%
ValueCountFrequency (%)
552 1
0.9%
531 1
0.9%
512 1
0.9%
510 1
0.9%
507 1
0.9%
504 1
0.9%
500 1
0.9%
498 1
0.9%
494 1
0.9%
492 1
0.9%

광장동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct93
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean306.04505
Minimum0
Maximum793
Zeros8
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:42.813857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q198
median326
Q3455.5
95-th percentile740
Maximum793
Range793
Interquartile range (IQR)357.5

Descriptive statistics

Standard deviation234.05281
Coefficient of variation (CV)0.76476587
Kurtosis-0.95512566
Mean306.04505
Median Absolute Deviation (MAD)207
Skewness0.32496839
Sum33971
Variance54780.716
MonotonicityNot monotonic
2024-03-14T23:21:43.078297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
7.2%
367 3
 
2.7%
372 2
 
1.8%
231 2
 
1.8%
1 2
 
1.8%
356 2
 
1.8%
419 2
 
1.8%
14 2
 
1.8%
337 2
 
1.8%
94 2
 
1.8%
Other values (83) 84
75.7%
ValueCountFrequency (%)
0 8
7.2%
1 2
 
1.8%
2 1
 
0.9%
3 1
 
0.9%
4 1
 
0.9%
5 1
 
0.9%
14 2
 
1.8%
17 1
 
0.9%
18 1
 
0.9%
26 1
 
0.9%
ValueCountFrequency (%)
793 1
0.9%
765 1
0.9%
763 1
0.9%
755 1
0.9%
749 1
0.9%
747 1
0.9%
733 1
0.9%
720 1
0.9%
700 1
0.9%
691 1
0.9%

자양제1동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct91
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.69369
Minimum0
Maximum538
Zeros11
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:43.422970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q156.5
median168
Q3323.5
95-th percentile489.5
Maximum538
Range538
Interquartile range (IQR)267

Descriptive statistics

Standard deviation153.6936
Coefficient of variation (CV)0.78138551
Kurtosis-0.93750572
Mean196.69369
Median Absolute Deviation (MAD)141
Skewness0.35480293
Sum21833
Variance23621.724
MonotonicityNot monotonic
2024-03-14T23:21:43.872364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
9.9%
66 2
 
1.8%
126 2
 
1.8%
337 2
 
1.8%
233 2
 
1.8%
136 2
 
1.8%
114 2
 
1.8%
15 2
 
1.8%
128 2
 
1.8%
53 2
 
1.8%
Other values (81) 82
73.9%
ValueCountFrequency (%)
0 11
9.9%
1 1
 
0.9%
2 2
 
1.8%
3 1
 
0.9%
7 1
 
0.9%
9 1
 
0.9%
13 1
 
0.9%
15 2
 
1.8%
17 1
 
0.9%
29 1
 
0.9%
ValueCountFrequency (%)
538 1
0.9%
533 1
0.9%
532 1
0.9%
509 1
0.9%
492 1
0.9%
490 1
0.9%
489 1
0.9%
426 1
0.9%
420 1
0.9%
395 1
0.9%

자양제2동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct85
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212.86486
Minimum0
Maximum468
Zeros8
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:44.285105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q186.5
median180
Q3366
95-th percentile412.5
Maximum468
Range468
Interquartile range (IQR)279.5

Descriptive statistics

Standard deviation150.70812
Coefficient of variation (CV)0.70799902
Kurtosis-1.5002516
Mean212.86486
Median Absolute Deviation (MAD)160
Skewness-0.037935159
Sum23628
Variance22712.936
MonotonicityNot monotonic
2024-03-14T23:21:44.720484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
7.2%
164 3
 
2.7%
360 3
 
2.7%
1 3
 
2.7%
391 2
 
1.8%
421 2
 
1.8%
333 2
 
1.8%
367 2
 
1.8%
387 2
 
1.8%
346 2
 
1.8%
Other values (75) 82
73.9%
ValueCountFrequency (%)
0 8
7.2%
1 3
 
2.7%
3 2
 
1.8%
4 1
 
0.9%
6 1
 
0.9%
8 1
 
0.9%
9 1
 
0.9%
10 1
 
0.9%
19 1
 
0.9%
20 1
 
0.9%
ValueCountFrequency (%)
468 1
0.9%
435 1
0.9%
426 1
0.9%
421 2
1.8%
417 1
0.9%
408 1
0.9%
406 2
1.8%
399 1
0.9%
397 2
1.8%
393 1
0.9%

자양제3동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct91
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245.23423
Minimum0
Maximum514
Zeros9
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:45.133001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1113
median249
Q3386
95-th percentile456
Maximum514
Range514
Interquartile range (IQR)273

Descriptive statistics

Standard deviation160.18268
Coefficient of variation (CV)0.65318237
Kurtosis-1.3225035
Mean245.23423
Median Absolute Deviation (MAD)139
Skewness-0.188803
Sum27221
Variance25658.49
MonotonicityNot monotonic
2024-03-14T23:21:45.576453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
8.1%
364 2
 
1.8%
236 2
 
1.8%
384 2
 
1.8%
342 2
 
1.8%
448 2
 
1.8%
452 2
 
1.8%
398 2
 
1.8%
166 2
 
1.8%
374 2
 
1.8%
Other values (81) 84
75.7%
ValueCountFrequency (%)
0 9
8.1%
1 1
 
0.9%
3 1
 
0.9%
4 2
 
1.8%
5 1
 
0.9%
8 1
 
0.9%
10 1
 
0.9%
14 1
 
0.9%
20 1
 
0.9%
27 1
 
0.9%
ValueCountFrequency (%)
514 1
0.9%
489 1
0.9%
487 1
0.9%
476 1
0.9%
473 1
0.9%
460 1
0.9%
452 2
1.8%
449 1
0.9%
448 2
1.8%
447 1
0.9%

자양제4동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct86
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.12613
Minimum0
Maximum485
Zeros9
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:45.995545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q174
median172
Q3305
95-th percentile387.5
Maximum485
Range485
Interquartile range (IQR)231

Descriptive statistics

Standard deviation137.27789
Coefficient of variation (CV)0.76637561
Kurtosis-1.1590674
Mean179.12613
Median Absolute Deviation (MAD)122
Skewness0.2591483
Sum19883
Variance18845.22
MonotonicityNot monotonic
2024-03-14T23:21:46.443177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
8.1%
1 4
 
3.6%
305 3
 
2.7%
79 2
 
1.8%
97 2
 
1.8%
145 2
 
1.8%
315 2
 
1.8%
330 2
 
1.8%
314 2
 
1.8%
258 2
 
1.8%
Other values (76) 81
73.0%
ValueCountFrequency (%)
0 9
8.1%
1 4
3.6%
2 1
 
0.9%
5 1
 
0.9%
6 1
 
0.9%
9 1
 
0.9%
11 1
 
0.9%
14 1
 
0.9%
16 1
 
0.9%
20 1
 
0.9%
ValueCountFrequency (%)
485 1
0.9%
480 1
0.9%
460 1
0.9%
436 1
0.9%
411 1
0.9%
395 1
0.9%
380 1
0.9%
372 1
0.9%
365 1
0.9%
355 1
0.9%

화양동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct87
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean208.94595
Minimum0
Maximum1318
Zeros10
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:46.864253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129
median104
Q3209
95-th percentile1073
Maximum1318
Range1318
Interquartile range (IQR)180

Descriptive statistics

Standard deviation309.96838
Coefficient of variation (CV)1.483486
Kurtosis4.8876849
Mean208.94595
Median Absolute Deviation (MAD)88
Skewness2.3533015
Sum23193
Variance96080.397
MonotonicityNot monotonic
2024-03-14T23:21:47.311512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
9.0%
1 3
 
2.7%
209 3
 
2.7%
37 3
 
2.7%
45 2
 
1.8%
170 2
 
1.8%
223 2
 
1.8%
156 2
 
1.8%
104 2
 
1.8%
7 2
 
1.8%
Other values (77) 80
72.1%
ValueCountFrequency (%)
0 10
9.0%
1 3
 
2.7%
2 1
 
0.9%
5 2
 
1.8%
6 1
 
0.9%
7 2
 
1.8%
10 1
 
0.9%
14 1
 
0.9%
16 1
 
0.9%
20 1
 
0.9%
ValueCountFrequency (%)
1318 1
0.9%
1289 1
0.9%
1258 1
0.9%
1190 1
0.9%
1161 1
0.9%
1156 1
0.9%
990 1
0.9%
895 1
0.9%
861 1
0.9%
793 1
0.9%

군자동
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct92
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.8018
Minimum0
Maximum557
Zeros9
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T23:21:47.719422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q152.5
median138
Q3260.5
95-th percentile478
Maximum557
Range557
Interquartile range (IQR)208

Descriptive statistics

Standard deviation146.19525
Coefficient of variation (CV)0.85095295
Kurtosis0.039730589
Mean171.8018
Median Absolute Deviation (MAD)108
Skewness0.7857486
Sum19070
Variance21373.051
MonotonicityNot monotonic
2024-03-14T23:21:48.139578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
8.1%
245 3
 
2.7%
1 3
 
2.7%
81 2
 
1.8%
246 2
 
1.8%
272 2
 
1.8%
103 2
 
1.8%
285 2
 
1.8%
4 2
 
1.8%
6 2
 
1.8%
Other values (82) 82
73.9%
ValueCountFrequency (%)
0 9
8.1%
1 3
 
2.7%
2 1
 
0.9%
3 1
 
0.9%
4 2
 
1.8%
5 1
 
0.9%
6 2
 
1.8%
16 1
 
0.9%
18 1
 
0.9%
31 1
 
0.9%
ValueCountFrequency (%)
557 1
0.9%
552 1
0.9%
539 1
0.9%
536 1
0.9%
511 1
0.9%
483 1
0.9%
473 1
0.9%
438 1
0.9%
424 1
0.9%
401 1
0.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1016.0 B
2023-12-31
111 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-31
2nd row2023-12-31
3rd row2023-12-31
4th row2023-12-31
5th row2023-12-31

Common Values

ValueCountFrequency (%)
2023-12-31 111
100.0%

Length

2024-03-14T23:21:48.375734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:21:48.533613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 111
100.0%

Interactions

2024-03-14T23:21:30.201216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:35.271110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:38.760574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:42.458707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:46.569516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:50.216570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:54.206606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:58.414799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:02.429937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:06.097215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:09.102638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:13.370023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:17.277193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:21.140508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:23.950567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:26.470840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:30.453613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:35.529285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:38.913266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:42.713329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:46.834961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:50.478189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:54.466181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:58.668468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:02.688913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:06.249426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:09.372829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:13.624928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:17.529295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:21.398751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:24.104584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:26.627882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:30.686486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:35.768821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:39.065262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:42.948019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:47.079792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:50.716561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:54.707515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:58.907197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:02.920809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:06.383591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:09.623797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:13.864781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:17.756996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:21.542318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:24.237005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:26.763645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:30.922103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:36.016275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:39.306994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:43.185672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:20:47.226897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-14T23:21:20.899898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:23.813441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:26.331591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:21:29.959092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:21:48.659394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
광진구중곡제1동중곡제2동중곡제3동중곡제4동능동구의제1동구의제2동구의제3동광장동자양제1동자양제2동자양제3동자양제4동화양동군자동
광진구1.0000.9520.9590.9240.9320.9510.9580.9240.9550.8730.9110.9380.9340.9280.7490.944
중곡제1동0.9521.0000.9590.9420.9150.9630.9620.8730.8870.8740.8630.8940.8600.9450.7780.953
중곡제2동0.9590.9591.0000.9530.9410.9600.9680.9130.9170.8630.9130.9380.9000.9580.8120.945
중곡제3동0.9240.9420.9531.0000.9440.9080.9200.9040.9050.8570.8660.9100.9000.9520.6930.926
중곡제4동0.9320.9150.9410.9441.0000.9190.8990.9200.9180.8340.8390.9370.8780.9420.6770.898
능동0.9510.9630.9600.9080.9191.0000.9760.9040.9030.8710.8520.8950.8590.9420.8400.950
구의제1동0.9580.9620.9680.9200.8990.9761.0000.9120.9210.8440.8570.8910.9000.9310.8310.954
구의제2동0.9240.8730.9130.9040.9200.9040.9121.0000.9250.8680.8190.9460.9330.8870.6240.877
구의제3동0.9550.8870.9170.9050.9180.9030.9210.9251.0000.8550.8310.9450.9290.9050.6590.892
광장동0.8730.8740.8630.8570.8340.8710.8440.8680.8551.0000.7100.8600.8940.8070.5780.888
자양제1동0.9110.8630.9130.8660.8390.8520.8570.8190.8310.7101.0000.8540.8150.8740.8580.853
자양제2동0.9380.8940.9380.9100.9370.8950.8910.9460.9450.8600.8541.0000.9110.9110.6720.890
자양제3동0.9340.8600.9000.9000.8780.8590.9000.9330.9290.8940.8150.9111.0000.9070.6050.872
자양제4동0.9280.9450.9580.9520.9420.9420.9310.8870.9050.8070.8740.9110.9071.0000.7600.928
화양동0.7490.7780.8120.6930.6770.8400.8310.6240.6590.5780.8580.6720.6050.7601.0000.843
군자동0.9440.9530.9450.9260.8980.9500.9540.8770.8920.8880.8530.8900.8720.9280.8431.000
2024-03-14T23:21:48.940617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
광진구중곡제1동중곡제2동중곡제3동중곡제4동능동구의제1동구의제2동구의제3동광장동자양제1동자양제2동자양제3동자양제4동화양동군자동
광진구1.0000.9670.9790.9650.9530.9610.9810.9520.9760.7580.9890.9640.9240.9600.9360.974
중곡제1동0.9671.0000.9720.9740.9490.9710.9700.9120.9380.6440.9730.9450.8790.9760.9340.974
중곡제2동0.9790.9721.0000.9810.9650.9510.9680.9430.9610.7040.9780.9660.9100.9780.9120.965
중곡제3동0.9650.9740.9811.0000.9780.9390.9540.9420.9470.6690.9720.9670.9000.9870.9010.960
중곡제4동0.9530.9490.9650.9781.0000.9080.9290.9610.9410.7100.9560.9740.9160.9720.8690.936
능동0.9610.9710.9510.9390.9081.0000.9740.9000.9400.6740.9630.9230.8820.9420.9520.962
구의제1동0.9810.9700.9680.9540.9290.9741.0000.9200.9660.7080.9780.9380.8930.9530.9570.974
구의제2동0.9520.9120.9430.9420.9610.9000.9201.0000.9550.8220.9410.9700.9610.9290.8580.911
구의제3동0.9760.9380.9610.9470.9410.9400.9660.9551.0000.7870.9620.9630.9360.9380.9060.938
광장동0.7580.6440.7040.6690.7100.6740.7080.8220.7871.0000.7160.7560.8580.6380.6580.679
자양제1동0.9890.9730.9780.9720.9560.9630.9780.9410.9620.7161.0000.9570.9080.9730.9380.976
자양제2동0.9640.9450.9660.9670.9740.9230.9380.9700.9630.7560.9571.0000.9440.9570.8770.937
자양제3동0.9240.8790.9100.9000.9160.8820.8930.9610.9360.8580.9080.9441.0000.8840.8340.883
자양제4동0.9600.9760.9780.9870.9720.9420.9530.9290.9380.6380.9730.9570.8841.0000.9050.964
화양동0.9360.9340.9120.9010.8690.9520.9570.8580.9060.6580.9380.8770.8340.9051.0000.954
군자동0.9740.9740.9650.9600.9360.9620.9740.9110.9380.6790.9760.9370.8830.9640.9541.000

Missing values

2024-03-14T23:21:33.504106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:21:33.898672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연령광진구중곡제1동중곡제2동중곡제3동중곡제4동능동구의제1동구의제2동구의제3동광장동자양제1동자양제2동자양제3동자양제4동화양동군자동데이터기준일자
00세1120596959773478931059766881377930492023-12-31
11세120457575498538676128105561231666827502023-12-31
22세1261666163963772117134121531001887724522023-12-31
33세12715756621045374105144145571021637521532023-12-31
44세1434557754874177136149186711301889226652023-12-31
55세146049885810441104137159210541261667329622023-12-31
66세1577459253102457712518032366992097720642023-12-31
77세183954102519946881651693811081452437633792023-12-31
88세2046661227912847106188205419971332518637822023-12-31
99세199657106721203597166201428951632478337892023-12-31
연령광진구중곡제1동중곡제2동중곡제3동중곡제4동능동구의제1동구의제2동구의제3동광장동자양제1동자양제2동자양제3동자양제4동화양동군자동데이터기준일자
101101세120001002121040012023-12-31
102102세30000110100000002023-12-31
103103세40000000110101002023-12-31
104104세10000000100000002023-12-31
105105세40100011010000002023-12-31
106106세10000000000000102023-12-31
107107세00000000000000002023-12-31
108108세10000000000000012023-12-31
109109세00000000000000002023-12-31
110110세 이상40002001000100002023-12-31