Overview

Dataset statistics

Number of variables13
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory119.0 B

Variable types

Numeric5
Categorical8

Dataset

Description대전광역시 서구 상권별 연령대별 유동인구 현황(기준년, 기준월, 상권코드, 상권명, 성별코드, 성별, 연령대코드, 연령대, 행정동코드, 행정동명, 유동인구수, 시간당 평균 유동인구수) 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15109022/fileData.do

Alerts

기준년 has constant value ""Constant
데이터생성일자 has constant value ""Constant
시간대 is highly overall correlated with 시간대코드High correlation
성별 is highly overall correlated with 성별코드High correlation
성별코드 is highly overall correlated with 성별High correlation
시간대코드 is highly overall correlated with 시간대High correlation
순번 is highly overall correlated with 기준월High correlation
기준월 is highly overall correlated with 순번High correlation
행정동코드 is highly overall correlated with 행정동명High correlation
요일코드 is highly overall correlated with 요일High correlation
행정동명 is highly overall correlated with 행정동코드High correlation
요일 is highly overall correlated with 요일코드High correlation
순번 has unique valuesUnique
요일코드 has 1411 (14.1%) zerosZeros

Reproduction

Analysis started2023-12-12 20:47:30.449453
Analysis finished2023-12-12 20:47:36.486751
Duration6.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9643.4975
Minimum1
Maximum19320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:47:36.563885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile951.95
Q14809.75
median9689.5
Q314477.25
95-th percentile18286.05
Maximum19320
Range19319
Interquartile range (IQR)9667.5

Descriptive statistics

Standard deviation5577.4967
Coefficient of variation (CV)0.57836866
Kurtosis-1.2015752
Mean9643.4975
Median Absolute Deviation (MAD)4841
Skewness-0.006146612
Sum96434975
Variance31108470
MonotonicityNot monotonic
2023-12-13T05:47:36.724769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11071 1
 
< 0.1%
4375 1
 
< 0.1%
721 1
 
< 0.1%
15472 1
 
< 0.1%
18429 1
 
< 0.1%
14352 1
 
< 0.1%
8358 1
 
< 0.1%
6705 1
 
< 0.1%
4132 1
 
< 0.1%
12013 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
15 1
< 0.1%
ValueCountFrequency (%)
19320 1
< 0.1%
19319 1
< 0.1%
19318 1
< 0.1%
19317 1
< 0.1%
19316 1
< 0.1%
19312 1
< 0.1%
19311 1
< 0.1%
19307 1
< 0.1%
19306 1
< 0.1%
19305 1
< 0.1%

기준년
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2021
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 10000
100.0%

Length

2023-12-13T05:47:37.214407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:47:37.322213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 10000
100.0%

기준월
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.493
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:47:37.428414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4542357
Coefficient of variation (CV)0.53199379
Kurtosis-1.2158459
Mean6.493
Median Absolute Deviation (MAD)3
Skewness-0.0034344378
Sum64930
Variance11.931744
MonotonicityNot monotonic
2023-12-13T05:47:37.583616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 863
8.6%
1 847
8.5%
7 846
8.5%
2 844
8.4%
11 838
8.4%
10 833
8.3%
6 826
8.3%
12 824
8.2%
5 823
8.2%
3 822
8.2%
Other values (2) 1634
16.3%
ValueCountFrequency (%)
1 847
8.5%
2 844
8.4%
3 822
8.2%
4 822
8.2%
5 823
8.2%
6 826
8.3%
7 846
8.5%
8 863
8.6%
9 812
8.1%
10 833
8.3%
ValueCountFrequency (%)
12 824
8.2%
11 838
8.4%
10 833
8.3%
9 812
8.1%
8 863
8.6%
7 846
8.5%
6 826
8.3%
5 823
8.2%
4 822
8.2%
3 822
8.2%

행정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0170579 × 109
Minimum3.017051 × 109
Maximum3.017066 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:47:37.707912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.017051 × 109
5-th percentile3.017052 × 109
Q13.017055 × 109
median3.0170582 × 109
Q33.0170597 × 109
95-th percentile3.017065 × 109
Maximum3.017066 × 109
Range15000
Interquartile range (IQR)4700

Descriptive statistics

Standard deviation3931.1832
Coefficient of variation (CV)1.3029857 × 10-6
Kurtosis-0.48279652
Mean3.0170579 × 109
Median Absolute Deviation (MAD)2200
Skewness0.25993136
Sum3.0170579 × 1013
Variance15454201
MonotonicityNot monotonic
2023-12-13T05:47:37.840919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3017051000 468
 
4.7%
3017059700 457
 
4.6%
3017052000 455
 
4.5%
3017057500 450
 
4.5%
3017064000 447
 
4.5%
3017053000 447
 
4.5%
3017054000 447
 
4.5%
3017058800 441
 
4.4%
3017058200 440
 
4.4%
3017055500 436
 
4.4%
Other values (13) 5512
55.1%
ValueCountFrequency (%)
3017051000 468
4.7%
3017052000 455
4.5%
3017053000 447
4.5%
3017053500 422
4.2%
3017054000 447
4.5%
3017055000 424
4.2%
3017055500 436
4.4%
3017056000 425
4.2%
3017057000 412
4.1%
3017057500 450
4.5%
ValueCountFrequency (%)
3017066000 433
4.3%
3017065000 416
4.2%
3017064000 447
4.5%
3017063000 410
4.1%
3017060000 431
4.3%
3017059700 457
4.6%
3017059600 423
4.2%
3017059000 420
4.2%
3017058800 441
4.4%
3017058700 430
4.3%

행정동명
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
복수동
 
468
관저2동
 
457
도마1동
 
455
내동
 
450
둔산2동
 
447
Other values (18)
7723 

Length

Max length4
Median length4
Mean length3.4772
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row둔산2동
2nd row월평2동
3rd row관저2동
4th row괴정동
5th row가장동

Common Values

ValueCountFrequency (%)
복수동 468
 
4.7%
관저2동 457
 
4.6%
도마1동 455
 
4.5%
내동 450
 
4.5%
둔산2동 447
 
4.5%
도마2동 447
 
4.5%
변동 447
 
4.5%
월평3동 441
 
4.4%
갈마2동 440
 
4.4%
탄방동 436
 
4.4%
Other values (13) 5512
55.1%

Length

2023-12-13T05:47:38.018015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
복수동 468
 
4.7%
관저2동 457
 
4.6%
도마1동 455
 
4.5%
내동 450
 
4.5%
둔산2동 447
 
4.5%
도마2동 447
 
4.5%
변동 447
 
4.5%
월평3동 441
 
4.4%
갈마2동 440
 
4.4%
탄방동 436
 
4.4%
Other values (13) 5512
55.1%

요일코드
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0052
Minimum0
Maximum6
Zeros1411
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:47:38.131853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0002932
Coefficient of variation (CV)0.66561069
Kurtosis-1.2520677
Mean3.0052
Median Absolute Deviation (MAD)2
Skewness0.0024481328
Sum30052
Variance4.0011731
MonotonicityNot monotonic
2023-12-13T05:47:38.248251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 1477
14.8%
6 1445
14.4%
4 1443
14.4%
1 1427
14.3%
5 1419
14.2%
0 1411
14.1%
3 1378
13.8%
ValueCountFrequency (%)
0 1411
14.1%
1 1427
14.3%
2 1477
14.8%
3 1378
13.8%
4 1443
14.4%
5 1419
14.2%
6 1445
14.4%
ValueCountFrequency (%)
6 1445
14.4%
5 1419
14.2%
4 1443
14.4%
3 1378
13.8%
2 1477
14.8%
1 1427
14.3%
0 1411
14.1%

요일
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
화요일
1477 
토요일
1445 
목요일
1443 
월요일
1427 
금요일
1419 
Other values (2)
2789 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row월요일
2nd row화요일
3rd row금요일
4th row금요일
5th row목요일

Common Values

ValueCountFrequency (%)
화요일 1477
14.8%
토요일 1445
14.4%
목요일 1443
14.4%
월요일 1427
14.3%
금요일 1419
14.2%
일요일 1411
14.1%
수요일 1378
13.8%

Length

2023-12-13T05:47:38.406905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:47:38.574324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화요일 1477
14.8%
토요일 1445
14.4%
목요일 1443
14.4%
월요일 1427
14.3%
금요일 1419
14.2%
일요일 1411
14.1%
수요일 1378
13.8%

시간대코드
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
5
2037 
1
2004 
2
1996 
3
1990 
4
1973 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row5
3rd row3
4th row4
5th row3

Common Values

ValueCountFrequency (%)
5 2037
20.4%
1 2004
20.0%
2 1996
20.0%
3 1990
19.9%
4 1973
19.7%

Length

2023-12-13T05:47:38.774758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:47:38.918632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 2037
20.4%
1 2004
20.0%
2 1996
20.0%
3 1990
19.9%
4 1973
19.7%

시간대
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
야간
2037 
출근
2004 
주간
1996 
퇴근
1990 
저녁
1973 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row출근
2nd row야간
3rd row퇴근
4th row저녁
5th row퇴근

Common Values

ValueCountFrequency (%)
야간 2037
20.4%
출근 2004
20.0%
주간 1996
20.0%
퇴근 1990
19.9%
저녁 1973
19.7%

Length

2023-12-13T05:47:39.078735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:47:39.187612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
야간 2037
20.4%
출근 2004
20.0%
주간 1996
20.0%
퇴근 1990
19.9%
저녁 1973
19.7%

성별코드
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
f
5041 
m
4959 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowf
2nd rowm
3rd rowf
4th rowm
5th rowm

Common Values

ValueCountFrequency (%)
f 5041
50.4%
m 4959
49.6%

Length

2023-12-13T05:47:39.308384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:47:39.409185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
f 5041
50.4%
m 4959
49.6%

성별
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
여성
5041 
남성
4959 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row여성
2nd row남성
3rd row여성
4th row남성
5th row남성

Common Values

ValueCountFrequency (%)
여성 5041
50.4%
남성 4959
49.6%

Length

2023-12-13T05:47:39.513094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:47:39.628697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여성 5041
50.4%
남성 4959
49.6%

비율
Real number (ℝ)

Distinct1752
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.002234
Minimum28.4
Maximum72.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:47:39.747632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.4
5-th percentile44.2
Q147.9875
median50
Q352.06
95-th percentile55.81
Maximum72.99
Range44.59
Interquartile range (IQR)4.0725

Descriptive statistics

Standard deviation3.7090223
Coefficient of variation (CV)0.074177131
Kurtosis3.863586
Mean50.002234
Median Absolute Deviation (MAD)2.03
Skewness-0.051819819
Sum500022.34
Variance13.756846
MonotonicityNot monotonic
2023-12-13T05:47:39.897507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.0 27
 
0.3%
48.3 21
 
0.2%
49.96 20
 
0.2%
51.76 20
 
0.2%
49.73 20
 
0.2%
49.67 19
 
0.2%
50.32 19
 
0.2%
51.72 19
 
0.2%
48.48 19
 
0.2%
50.61 19
 
0.2%
Other values (1742) 9797
98.0%
ValueCountFrequency (%)
28.4 1
< 0.1%
28.57 1
< 0.1%
29.13 1
< 0.1%
29.47 1
< 0.1%
29.68 1
< 0.1%
30.48 1
< 0.1%
30.86 1
< 0.1%
30.88 1
< 0.1%
30.89 1
< 0.1%
31.2 1
< 0.1%
ValueCountFrequency (%)
72.99 1
< 0.1%
70.87 1
< 0.1%
70.53 1
< 0.1%
70.32 1
< 0.1%
69.26 1
< 0.1%
69.14 1
< 0.1%
69.13 1
< 0.1%
69.11 1
< 0.1%
68.8 1
< 0.1%
68.66 1
< 0.1%

데이터생성일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-05-10
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-10
2nd row2023-05-10
3rd row2023-05-10
4th row2023-05-10
5th row2023-05-10

Common Values

ValueCountFrequency (%)
2023-05-10 10000
100.0%

Length

2023-12-13T05:47:40.040730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:47:40.145314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-10 10000
100.0%

Interactions

2023-12-13T05:47:35.472984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:32.744483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:33.650895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:34.356618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:34.937619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:35.623841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:32.983975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:33.808451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:34.485001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:35.042382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:35.767800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:33.147383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:33.965124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:34.604461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:35.154318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:35.909941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:33.342490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:34.131902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:34.712383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:35.269691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:36.002849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:33.464572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:34.259755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:34.821766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:47:35.372702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:47:40.217979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기준월행정동코드행정동명요일코드요일시간대코드시간대성별코드성별비율
순번1.0000.9830.2110.2600.0000.0000.0000.0000.0000.0000.093
기준월0.9831.0000.0000.0000.0000.0000.0000.0000.0000.0000.068
행정동코드0.2110.0001.0001.0000.0000.0000.0000.0000.0000.0000.276
행정동명0.2600.0001.0001.0000.0000.0000.0000.0000.0000.0000.628
요일코드0.0000.0000.0000.0001.0001.0000.0000.0000.0000.0000.044
요일0.0000.0000.0000.0001.0001.0000.0000.0000.0000.0000.044
시간대코드0.0000.0000.0000.0000.0000.0001.0001.0000.0070.0070.317
시간대0.0000.0000.0000.0000.0000.0001.0001.0000.0070.0070.317
성별코드0.0000.0000.0000.0000.0000.0000.0070.0071.0001.0000.289
성별0.0000.0000.0000.0000.0000.0000.0070.0071.0001.0000.289
비율0.0930.0680.2760.6280.0440.0440.3170.3170.2890.2891.000
2023-12-13T05:47:40.386314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시간대성별성별코드요일시간대코드행정동명
시간대1.0000.0080.0080.0001.0000.000
성별0.0081.0001.0000.0000.0080.000
성별코드0.0081.0001.0000.0000.0080.000
요일0.0000.0000.0001.0000.0000.000
시간대코드1.0000.0080.0080.0001.0000.000
행정동명0.0000.0000.0000.0000.0001.000
2023-12-13T05:47:40.517611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기준월행정동코드요일코드비율행정동명요일시간대코드시간대성별코드성별
순번1.0000.9970.0760.0050.0070.0990.0000.0000.0000.0000.000
기준월0.9971.000-0.0070.0020.0060.0000.0000.0000.0000.0000.000
행정동코드0.076-0.0071.000-0.0050.0120.9990.0000.0000.0000.0000.000
요일코드0.0050.002-0.0051.000-0.0030.0001.0000.0000.0000.0000.000
비율0.0070.0060.012-0.0031.0000.2880.0220.1370.1370.2210.221
행정동명0.0990.0000.9990.0000.2881.0000.0000.0000.0000.0000.000
요일0.0000.0000.0001.0000.0220.0001.0000.0000.0000.0000.000
시간대코드0.0000.0000.0000.0000.1370.0000.0001.0001.0000.0080.008
시간대0.0000.0000.0000.0000.1370.0000.0001.0001.0000.0080.008
성별코드0.0000.0000.0000.0000.2210.0000.0000.0080.0081.0001.000
성별0.0000.0000.0000.0000.2210.0000.0000.0080.0081.0001.000

Missing values

2023-12-13T05:47:36.154151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:47:36.396934image/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

순번기준년기준월행정동코드행정동명요일코드요일시간대코드시간대성별코드성별비율데이터생성일자
1107011071202173017064000둔산2동1월요일1출근f여성48.142023-05-10
25492550202123017058700월평2동2화요일5야간m남성56.142023-05-10
12441245202113017059700관저2동5금요일3퇴근f여성51.252023-05-10
37673768202133017056000괴정동5금요일4저녁m남성50.042023-05-10
1187511876202183017057000가장동4목요일3퇴근m남성47.522023-05-10
90539054202163017058800월평3동2화요일2주간m남성45.842023-05-10
69616962202153017056000괴정동3수요일1출근m남성50.912023-05-10
38853886202133017057500내동3수요일3퇴근m남성46.292023-05-10
32333234202133017051000복수동1월요일2주간m남성46.352023-05-10
17613176142021113017065000만년동4목요일2주간m남성50.12023-05-10
순번기준년기준월행정동코드행정동명요일코드요일시간대코드시간대성별코드성별비율데이터생성일자
41074108202133017058600월평1동4목요일4저녁m남성55.112023-05-10
80198020202153017066000둔산3동3수요일5야간m남성51.682023-05-10
15444154452021103017058700월평2동4목요일3퇴근f여성49.962023-05-10
17581175822021113017065000만년동1월요일1출근m남성52.72023-05-10
19284192852021123017066000둔산3동3수요일3퇴근f여성55.372023-05-10
34753476202133017053500정림동4목요일3퇴근m남성48.132023-05-10
75337534202153017059000가수원동4목요일2주간m남성46.822023-05-10
53445345202143017056000괴정동2화요일3퇴근f여성50.912023-05-10
56885689202143017058600월평1동1월요일5야간f여성42.592023-05-10
18481849202123017053500정림동2화요일5야간f여성49.312023-05-10