Overview

Dataset statistics

Number of variables12
Number of observations414
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.4 KiB
Average record size in memory102.3 B

Variable types

Numeric5
Categorical7

Dataset

Description대전광역시 서구 상권별 연령별 주민등록인구현황(기준년, 상권코드, 상권명, 연령대코드, 연령대, 성별코드, 성별, 주민등록인구수, 행정동코드, 행정동, 데이터생성일자) 데이터를 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15109023/fileData.do

Alerts

기준년 has constant value ""Constant
데이터생성일자 has constant value ""Constant
성별코드 is highly overall correlated with 성별High correlation
성별 is highly overall correlated with 성별코드High correlation
순번 is highly overall correlated with 행정동코드 and 2 other fieldsHigh correlation
상권코드 is highly overall correlated with 상권명 and 1 other fieldsHigh correlation
연령대코드 is highly overall correlated with 연령대High correlation
행정동코드 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
상권명 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
연령대 is highly overall correlated with 연령대코드High correlation
행정동 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
순번 has unique valuesUnique
연령대코드 has 49 (11.8%) zerosZeros

Reproduction

Analysis started2023-12-12 23:57:52.835040
Analysis finished2023-12-12 23:57:55.683828
Duration2.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean498.5
Minimum292
Maximum705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-13T08:57:55.770351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum292
5-th percentile312.65
Q1395.25
median498.5
Q3601.75
95-th percentile684.35
Maximum705
Range413
Interquartile range (IQR)206.5

Descriptive statistics

Standard deviation119.65576
Coefficient of variation (CV)0.24003161
Kurtosis-1.2
Mean498.5
Median Absolute Deviation (MAD)103.5
Skewness0
Sum206379
Variance14317.5
MonotonicityStrictly increasing
2023-12-13T08:57:55.905006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
292 1
 
0.2%
565 1
 
0.2%
575 1
 
0.2%
574 1
 
0.2%
573 1
 
0.2%
572 1
 
0.2%
571 1
 
0.2%
570 1
 
0.2%
569 1
 
0.2%
568 1
 
0.2%
Other values (404) 404
97.6%
ValueCountFrequency (%)
292 1
0.2%
293 1
0.2%
294 1
0.2%
295 1
0.2%
296 1
0.2%
297 1
0.2%
298 1
0.2%
299 1
0.2%
300 1
0.2%
301 1
0.2%
ValueCountFrequency (%)
705 1
0.2%
704 1
0.2%
703 1
0.2%
702 1
0.2%
701 1
0.2%
700 1
0.2%
699 1
0.2%
698 1
0.2%
697 1
0.2%
696 1
0.2%

기준년
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2021
414 

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 414
100.0%

Length

2023-12-13T08:57:56.019550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:56.105145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 414
100.0%

상권코드
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8816425
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-13T08:57:56.172527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q311
95-th percentile13
Maximum14
Range13
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.1090464
Coefficient of variation (CV)0.59710257
Kurtosis-1.3173036
Mean6.8816425
Median Absolute Deviation (MAD)4
Skewness0.16867313
Sum2849
Variance16.884263
MonotonicityNot monotonic
2023-12-13T08:57:56.265661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 49
11.8%
3 48
11.6%
13 32
7.7%
9 32
7.7%
12 32
7.7%
11 32
7.7%
1 32
7.7%
7 32
7.7%
5 31
7.5%
6 30
7.2%
Other values (4) 64
15.5%
ValueCountFrequency (%)
1 32
7.7%
2 49
11.8%
3 48
11.6%
4 16
 
3.9%
5 31
7.5%
6 30
7.2%
7 32
7.7%
8 16
 
3.9%
9 32
7.7%
10 16
 
3.9%
ValueCountFrequency (%)
14 16
3.9%
13 32
7.7%
12 32
7.7%
11 32
7.7%
10 16
3.9%
9 32
7.7%
8 16
3.9%
7 32
7.7%
6 30
7.2%
5 31
7.5%

상권명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
한민시장 주변 상권
49 
롯데백화점 주변 상권
48 
대전시청역 주변 상권
32 
둔산3동상점가 주변 상권
32 
세이디에스탄방점 주변 상권
32 
Other values (9)
221 

Length

Max length23
Median length17.5
Mean length13.292271
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도마큰시장 주변 상권
2nd row도마큰시장 주변 상권
3rd row도마큰시장 주변 상권
4th row도마큰시장 주변 상권
5th row도마큰시장 주변 상권

Common Values

ValueCountFrequency (%)
한민시장 주변 상권 49
11.8%
롯데백화점 주변 상권 48
11.6%
대전시청역 주변 상권 32
7.7%
둔산3동상점가 주변 상권 32
7.7%
세이디에스탄방점 주변 상권 32
7.7%
이마트 트레이더스 월평점 주변 상권 32
7.7%
가수원상점가 주변 상권 32
7.7%
대주프라자 주변 상권 32
7.7%
이마트 둔산점 주변 상권 31
7.5%
사학연금회관 뒤편(토요코인호텔) 주변 상권 30
7.2%
Other values (4) 64
15.5%

Length

2023-12-13T08:57:56.366050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상권 414
29.9%
주변 414
29.9%
이마트 63
 
4.6%
한민시장 49
 
3.5%
롯데백화점 48
 
3.5%
트레이더스 32
 
2.3%
대주프라자 32
 
2.3%
월평점 32
 
2.3%
가수원상점가 32
 
2.3%
세이디에스탄방점 32
 
2.3%
Other values (10) 235
17.0%

연령대코드
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.289855
Minimum0
Maximum70
Zeros49
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-13T08:57:56.446316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median40
Q357.5
95-th percentile70
Maximum70
Range70
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation22.811748
Coefficient of variation (CV)0.64641092
Kurtosis-1.2298862
Mean35.289855
Median Absolute Deviation (MAD)20
Skewness-0.011251059
Sum14610
Variance520.37583
MonotonicityNot monotonic
2023-12-13T08:57:56.524570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
50 53
12.8%
10 52
12.6%
20 52
12.6%
30 52
12.6%
40 52
12.6%
60 52
12.6%
70 52
12.6%
0 49
11.8%
ValueCountFrequency (%)
0 49
11.8%
10 52
12.6%
20 52
12.6%
30 52
12.6%
40 52
12.6%
50 53
12.8%
60 52
12.6%
70 52
12.6%
ValueCountFrequency (%)
70 52
12.6%
60 52
12.6%
50 53
12.8%
40 52
12.6%
30 52
12.6%
20 52
12.6%
10 52
12.6%
0 49
11.8%

연령대
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
50대
53 
10대
52 
20대
52 
30대
52 
40대
52 
Other values (3)
153 

Length

Max length5
Median length3
Mean length3.3695652
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9세이하
2nd row9세이하
3rd row10대
4th row10대
5th row20대

Common Values

ValueCountFrequency (%)
50대 53
12.8%
10대 52
12.6%
20대 52
12.6%
30대 52
12.6%
40대 52
12.6%
60대 52
12.6%
70세이상 52
12.6%
9세이하 49
11.8%

Length

2023-12-13T08:57:56.645828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:56.772929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50대 53
12.8%
10대 52
12.6%
20대 52
12.6%
30대 52
12.6%
40대 52
12.6%
60대 52
12.6%
70세이상 52
12.6%
9세이하 49
11.8%

성별코드
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
f
208 
m
206 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
f 208
50.2%
m 206
49.8%

Length

2023-12-13T08:57:56.892691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:56.978109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
f 208
50.2%
m 206
49.8%

성별
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
여성
208 
남성
206 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여성 208
50.2%
남성 206
49.8%

Length

2023-12-13T08:57:57.064001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:57.136869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여성 208
50.2%
남성 206
49.8%

주민등록인구수
Real number (ℝ)

Distinct227
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.04831
Minimum1
Maximum705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-13T08:57:57.218824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q124.25
median77
Q3208.5
95-th percentile441
Maximum705
Range704
Interquartile range (IQR)184.25

Descriptive statistics

Standard deviation143.1147
Coefficient of variation (CV)1.0676353
Kurtosis1.4650784
Mean134.04831
Median Absolute Deviation (MAD)63
Skewness1.4069029
Sum55496
Variance20481.818
MonotonicityNot monotonic
2023-12-13T08:57:57.326136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 7
 
1.7%
2 7
 
1.7%
8 7
 
1.7%
11 7
 
1.7%
4 6
 
1.4%
24 6
 
1.4%
12 6
 
1.4%
19 6
 
1.4%
23 5
 
1.2%
26 5
 
1.2%
Other values (217) 352
85.0%
ValueCountFrequency (%)
1 4
1.0%
2 7
1.7%
3 3
0.7%
4 6
1.4%
5 3
0.7%
6 2
 
0.5%
7 4
1.0%
8 7
1.7%
9 4
1.0%
10 4
1.0%
ValueCountFrequency (%)
705 1
0.2%
616 1
0.2%
615 1
0.2%
611 1
0.2%
604 1
0.2%
567 1
0.2%
548 1
0.2%
547 1
0.2%
543 1
0.2%
526 1
0.2%

행정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0170592 × 109
Minimum3.017052 × 109
Maximum3.017066 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-13T08:57:57.441493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.017052 × 109
5-th percentile3.017055 × 109
Q13.017056 × 109
median3.0170588 × 109
Q33.017063 × 109
95-th percentile3.017065 × 109
Maximum3.017066 × 109
Range14000
Interquartile range (IQR)7000

Descriptive statistics

Standard deviation3644.0837
Coefficient of variation (CV)1.2078264 × 10-6
Kurtosis-0.93347779
Mean3.0170592 × 109
Median Absolute Deviation (MAD)3300
Skewness0.18364988
Sum1.2490625 × 1012
Variance13279346
MonotonicityIncreasing
2023-12-13T08:57:57.529182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3017055500 65
15.7%
3017063000 48
11.6%
3017064000 45
10.9%
3017056000 32
 
7.7%
3017059700 32
 
7.7%
3017052000 16
 
3.9%
3017059300 16
 
3.9%
3017066000 16
 
3.9%
3017065000 16
 
3.9%
3017059600 16
 
3.9%
Other values (7) 112
27.1%
ValueCountFrequency (%)
3017052000 16
 
3.9%
3017055000 16
 
3.9%
3017055500 65
15.7%
3017056000 32
7.7%
3017057000 16
 
3.9%
3017057500 16
 
3.9%
3017058600 16
 
3.9%
3017058700 16
 
3.9%
3017058800 16
 
3.9%
3017059000 16
 
3.9%
ValueCountFrequency (%)
3017066000 16
 
3.9%
3017065000 16
 
3.9%
3017064000 45
10.9%
3017063000 48
11.6%
3017059700 32
7.7%
3017059600 16
 
3.9%
3017059300 16
 
3.9%
3017059000 16
 
3.9%
3017058800 16
 
3.9%
3017058700 16
 
3.9%

행정동
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
탄방동
65 
둔산1동
48 
둔산2동
45 
괴정동
32 
관저2동
32 
Other values (12)
192 

Length

Max length4
Median length4
Mean length3.5338164
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도마1동
2nd row도마1동
3rd row도마1동
4th row도마1동
5th row도마1동

Common Values

ValueCountFrequency (%)
탄방동 65
15.7%
둔산1동 48
11.6%
둔산2동 45
10.9%
괴정동 32
 
7.7%
관저2동 32
 
7.7%
용문동 16
 
3.9%
가장동 16
 
3.9%
내동 16
 
3.9%
월평1동 16
 
3.9%
월평2동 16
 
3.9%
Other values (7) 112
27.1%

Length

2023-12-13T08:57:57.645519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
탄방동 65
15.7%
둔산1동 48
11.6%
둔산2동 45
10.9%
괴정동 32
 
7.7%
관저2동 32
 
7.7%
가수원동 16
 
3.9%
도마1동 16
 
3.9%
도안동 16
 
3.9%
만년동 16
 
3.9%
월평3동 16
 
3.9%
Other values (7) 112
27.1%

데이터생성일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2022-11-17
414 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-17
2nd row2022-11-17
3rd row2022-11-17
4th row2022-11-17
5th row2022-11-17

Common Values

ValueCountFrequency (%)
2022-11-17 414
100.0%

Length

2023-12-13T08:57:57.759283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:57.846789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-17 414
100.0%

Interactions

2023-12-13T08:57:55.052928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:53.281194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:53.649527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:54.040335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:54.660031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:55.136930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:53.342024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:53.723262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:54.123200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:54.731999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:55.215250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:53.418480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:53.805855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:54.207135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:54.808442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:55.294941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:53.504330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:53.878999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:54.286797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:54.892012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:55.377482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:53.572927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:53.958345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:54.583763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:57:54.970782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:57:57.900602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번상권코드상권명연령대코드연령대성별코드성별주민등록인구수행정동코드행정동
순번1.0000.9390.9250.0000.0000.0000.0000.5580.9530.971
상권코드0.9391.0001.0000.0000.0000.0000.0000.5650.8680.941
상권명0.9251.0001.0000.0000.0000.0000.0000.4850.9380.962
연령대코드0.0000.0000.0001.0001.0000.0000.0000.2510.0000.000
연령대0.0000.0000.0001.0001.0000.0000.0000.2510.0000.000
성별코드0.0000.0000.0000.0000.0001.0001.0000.0000.0000.000
성별0.0000.0000.0000.0000.0001.0001.0000.0000.0000.000
주민등록인구수0.5580.5650.4850.2510.2510.0000.0001.0000.4840.646
행정동코드0.9530.8680.9380.0000.0000.0000.0000.4841.0001.000
행정동0.9710.9410.9620.0000.0000.0000.0000.6461.0001.000
2023-12-13T08:57:57.997482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연령대성별코드행정동상권명성별
연령대1.0000.0000.0000.0000.000
성별코드0.0001.0000.0000.0000.995
행정동0.0000.0001.0000.7820.000
상권명0.0000.0000.7821.0000.000
성별0.0000.9950.0000.0001.000
2023-12-13T08:57:58.073213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번상권코드연령대코드주민등록인구수행정동코드상권명연령대성별코드성별행정동
순번1.0000.1760.014-0.2040.9960.7190.0000.0000.0000.859
상권코드0.1761.000-0.004-0.2320.1640.9950.0000.0000.0000.750
연령대코드0.014-0.0041.0000.0280.0120.0001.0000.0000.0000.000
주민등록인구수-0.204-0.2320.0281.000-0.1960.2170.1220.0000.0000.313
행정동코드0.9960.1640.012-0.1961.0000.8240.0000.0000.0000.989
상권명0.7190.9950.0000.2170.8241.0000.0000.0000.0000.782
연령대0.0000.0001.0000.1220.0000.0001.0000.0000.0000.000
성별코드0.0000.0000.0000.0000.0000.0000.0001.0000.9950.000
성별0.0000.0000.0000.0000.0000.0000.0000.9951.0000.000
행정동0.8590.7500.0000.3130.9890.7820.0000.0000.0001.000

Missing values

2023-12-13T08:57:55.489364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:57:55.619272image/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

순번기준년상권코드상권명연령대코드연령대성별코드성별주민등록인구수행정동코드행정동데이터생성일자
0292202110도마큰시장 주변 상권09세이하f여성363017052000도마1동2022-11-17
1293202110도마큰시장 주변 상권09세이하m남성373017052000도마1동2022-11-17
2294202110도마큰시장 주변 상권1010대f여성473017052000도마1동2022-11-17
3295202110도마큰시장 주변 상권1010대m남성543017052000도마1동2022-11-17
4296202110도마큰시장 주변 상권2020대f여성873017052000도마1동2022-11-17
5297202110도마큰시장 주변 상권2020대m남성1303017052000도마1동2022-11-17
6298202110도마큰시장 주변 상권3030대f여성883017052000도마1동2022-11-17
7299202110도마큰시장 주변 상권3030대m남성963017052000도마1동2022-11-17
8300202110도마큰시장 주변 상권4040대f여성1033017052000도마1동2022-11-17
9301202110도마큰시장 주변 상권4040대m남성1343017052000도마1동2022-11-17
순번기준년상권코드상권명연령대코드연령대성별코드성별주민등록인구수행정동코드행정동데이터생성일자
40469620219둔산3동상점가 주변 상권4040대f여성4653017066000둔산3동2022-11-17
40569720219둔산3동상점가 주변 상권3030대m남성3643017066000둔산3동2022-11-17
40669820219둔산3동상점가 주변 상권3030대f여성3123017066000둔산3동2022-11-17
40769920219둔산3동상점가 주변 상권2020대m남성5043017066000둔산3동2022-11-17
40870020219둔산3동상점가 주변 상권2020대f여성5263017066000둔산3동2022-11-17
40970120219둔산3동상점가 주변 상권1010대m남성3123017066000둔산3동2022-11-17
41070220219둔산3동상점가 주변 상권1010대f여성2853017066000둔산3동2022-11-17
41170320219둔산3동상점가 주변 상권09세이하m남성1273017066000둔산3동2022-11-17
41270420219둔산3동상점가 주변 상권09세이하f여성1043017066000둔산3동2022-11-17
41370520219둔산3동상점가 주변 상권7070세이상f여성6153017066000둔산3동2022-11-17