Overview

Dataset statistics

Number of variables9
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory82.7 B

Variable types

Categorical2
Text1
Numeric5
DateTime1

Dataset

Description인천광역시 서구 구의원 주민소환 투표 청구권자 총수 및 최소서명인수 데이터 로 선거구별, 읍면동별, 주민수 , 등록외국인수, 청구권자 총수, 최소 서명인수 등으로 구성 되어 있습니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15091233&srcSe=7661IVAWM27C61E190

Alerts

구별 has constant value ""Constant
데이터기준일자 has constant value ""Constant
주민수(19세이상) is highly overall correlated with 등록외국인수(19세이상) and 3 other fieldsHigh correlation
등록외국인수(19세이상) is highly overall correlated with 주민수(19세이상) and 2 other fieldsHigh correlation
청구권자 총수 is highly overall correlated with 주민수(19세이상) and 3 other fieldsHigh correlation
서명인수 is highly overall correlated with 주민수(19세이상) and 3 other fieldsHigh correlation
최소서명인수 is highly overall correlated with 주민수(19세이상) and 3 other fieldsHigh correlation
선거구별 is highly overall correlated with 최소서명인수High correlation
읍면동별 has unique valuesUnique
주민수(19세이상) has unique valuesUnique
청구권자 총수 has unique valuesUnique
서명인수 has unique valuesUnique
최소서명인수 has 2 (8.7%) zerosZeros

Reproduction

Analysis started2024-01-28 15:25:06.823050
Analysis finished2024-01-28 15:25:09.171496
Duration2.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구별
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
서구
23 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 23
100.0%

Length

2024-01-29T00:25:09.216521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:25:09.279719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 23
100.0%

선거구별
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
나선거구
4 
바선거구
4 
사선거구
4 
다선거구
3 
라선거구
3 
Other values (2)
5 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가선거구
2nd row가선거구
3rd row나선거구
4th row나선거구
5th row나선거구

Common Values

ValueCountFrequency (%)
나선거구 4
17.4%
바선거구 4
17.4%
사선거구 4
17.4%
다선거구 3
13.0%
라선거구 3
13.0%
마선거구 3
13.0%
가선거구 2
8.7%

Length

2024-01-29T00:25:09.350250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:25:09.429227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
나선거구 4
17.4%
바선거구 4
17.4%
사선거구 4
17.4%
다선거구 3
13.0%
라선거구 3
13.0%
마선거구 3
13.0%
가선거구 2
8.7%

읍면동별
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-01-29T00:25:09.585068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9130435
Min length3

Characters and Unicode

Total characters90
Distinct characters36
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

Unique23 ?
Unique (%)100.0%

Sample

1st row검단동
2nd row불로대곡동
3rd row원당동
4th row당하동
5th row마전동
ValueCountFrequency (%)
검단동 1
 
4.3%
가정1동 1
 
4.3%
가좌3동 1
 
4.3%
가좌2동 1
 
4.3%
가좌1동 1
 
4.3%
석남3동 1
 
4.3%
석남2동 1
 
4.3%
석남1동 1
 
4.3%
가정3동 1
 
4.3%
신현원창동 1
 
4.3%
Other values (13) 13
56.5%
2024-01-29T00:25:09.857304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 23
25.6%
가 7
 
7.8%
2 4
 
4.4%
좌 4
 
4.4%
1 4
 
4.4%
라 4
 
4.4%
3 4
 
4.4%
남 3
 
3.3%
석 3
 
3.3%
청 3
 
3.3%
Other values (26) 31
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
85.6%
Decimal Number 13
 
14.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 23
29.9%
가 7
 
9.1%
좌 4
 
5.2%
라 4
 
5.2%
남 3
 
3.9%
석 3
 
3.9%
청 3
 
3.9%
정 3
 
3.9%
검 2
 
2.6%
원 2
 
2.6%
Other values (22) 23
29.9%
Decimal Number
ValueCountFrequency (%)
2 4
30.8%
1 4
30.8%
3 4
30.8%
4 1
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
85.6%
Common 13
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 23
29.9%
가 7
 
9.1%
좌 4
 
5.2%
라 4
 
5.2%
남 3
 
3.9%
석 3
 
3.9%
청 3
 
3.9%
정 3
 
3.9%
검 2
 
2.6%
원 2
 
2.6%
Other values (22) 23
29.9%
Common
ValueCountFrequency (%)
2 4
30.8%
1 4
30.8%
3 4
30.8%
4 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
85.6%
ASCII 13
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 23
29.9%
가 7
 
9.1%
좌 4
 
5.2%
라 4
 
5.2%
남 3
 
3.9%
석 3
 
3.9%
청 3
 
3.9%
정 3
 
3.9%
검 2
 
2.6%
원 2
 
2.6%
Other values (22) 23
29.9%
ASCII
ValueCountFrequency (%)
2 4
30.8%
1 4
30.8%
3 4
30.8%
4 1
 
7.7%

주민수(19세이상)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19741.739
Minimum5860
Maximum37288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-29T00:25:09.948479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5860
5-th percentile8659.5
Q112415.5
median18700
Q323465.5
95-th percentile36399.1
Maximum37288
Range31428
Interquartile range (IQR)11050

Descriptive statistics

Standard deviation8785.884
Coefficient of variation (CV)0.44504103
Kurtosis-0.21798571
Mean19741.739
Median Absolute Deviation (MAD)6155
Skewness0.55420299
Sum454060
Variance77191757
MonotonicityNot monotonic
2024-01-29T00:25:10.045048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
27353 1
 
4.3%
18509 1
 
4.3%
9123 1
 
4.3%
14883 1
 
4.3%
17073 1
 
4.3%
11054 1
 
4.3%
12286 1
 
4.3%
11637 1
 
4.3%
19881 1
 
4.3%
8608 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
5860 1
4.3%
8608 1
4.3%
9123 1
4.3%
11054 1
4.3%
11637 1
4.3%
12286 1
4.3%
12545 1
4.3%
14883 1
4.3%
17073 1
4.3%
18079 1
4.3%
ValueCountFrequency (%)
37288 1
4.3%
36496 1
4.3%
35527 1
4.3%
27353 1
4.3%
26349 1
4.3%
23753 1
4.3%
23178 1
4.3%
22844 1
4.3%
22214 1
4.3%
20820 1
4.3%

등록외국인수(19세이상)
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.913043
Minimum6
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-29T00:25:10.153735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile15.3
Q127.5
median44
Q369.5
95-th percentile104.5
Maximum111
Range105
Interquartile range (IQR)42

Descriptive statistics

Standard deviation30.241322
Coefficient of variation (CV)0.60588014
Kurtosis-0.5647095
Mean49.913043
Median Absolute Deviation (MAD)22
Skewness0.61695969
Sum1148
Variance914.53755
MonotonicityNot monotonic
2024-01-29T00:25:10.255159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
18 2
 
8.7%
105 1
 
4.3%
51 1
 
4.3%
25 1
 
4.3%
36 1
 
4.3%
73 1
 
4.3%
33 1
 
4.3%
60 1
 
4.3%
100 1
 
4.3%
20 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
6 1
4.3%
15 1
4.3%
18 2
8.7%
20 1
4.3%
25 1
4.3%
30 1
4.3%
33 1
4.3%
34 1
4.3%
36 1
4.3%
38 1
4.3%
ValueCountFrequency (%)
111 1
4.3%
105 1
4.3%
100 1
4.3%
82 1
4.3%
80 1
4.3%
73 1
4.3%
66 1
4.3%
60 1
4.3%
53 1
4.3%
51 1
4.3%

청구권자 총수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19791.652
Minimum5866
Maximum37399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-29T00:25:10.343058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5866
5-th percentile8680
Q112439.5
median18734
Q323509.5
95-th percentile36455
Maximum37399
Range31533
Interquartile range (IQR)11070

Descriptive statistics

Standard deviation8804.6492
Coefficient of variation (CV)0.44486681
Kurtosis-0.21818395
Mean19791.652
Median Absolute Deviation (MAD)6174
Skewness0.55388475
Sum455208
Variance77521848
MonotonicityNot monotonic
2024-01-29T00:25:10.437055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
27458 1
 
4.3%
18539 1
 
4.3%
9148 1
 
4.3%
14919 1
 
4.3%
17091 1
 
4.3%
11127 1
 
4.3%
12319 1
 
4.3%
11697 1
 
4.3%
19981 1
 
4.3%
8628 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
5866 1
4.3%
8628 1
4.3%
9148 1
4.3%
11127 1
4.3%
11697 1
4.3%
12319 1
4.3%
12560 1
4.3%
14919 1
4.3%
17091 1
4.3%
18097 1
4.3%
ValueCountFrequency (%)
37399 1
4.3%
36549 1
4.3%
35609 1
4.3%
27458 1
4.3%
26393 1
4.3%
23803 1
4.3%
23216 1
4.3%
22895 1
4.3%
22294 1
4.3%
20886 1
4.3%

서명인수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3958.7391
Minimum1174
Maximum7480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-29T00:25:10.537266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1174
5-th percentile1736.4
Q12488
median3747
Q34702.5
95-th percentile7291.2
Maximum7480
Range6306
Interquartile range (IQR)2214.5

Descriptive statistics

Standard deviation1760.8555
Coefficient of variation (CV)0.44480209
Kurtosis-0.21842303
Mean3958.7391
Median Absolute Deviation (MAD)1235
Skewness0.55383332
Sum91051
Variance3100611.9
MonotonicityNot monotonic
2024-01-29T00:25:10.628355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5492 1
 
4.3%
3708 1
 
4.3%
1830 1
 
4.3%
2984 1
 
4.3%
3419 1
 
4.3%
2226 1
 
4.3%
2464 1
 
4.3%
2340 1
 
4.3%
3997 1
 
4.3%
1726 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1174 1
4.3%
1726 1
4.3%
1830 1
4.3%
2226 1
4.3%
2340 1
4.3%
2464 1
4.3%
2512 1
4.3%
2984 1
4.3%
3419 1
4.3%
3620 1
4.3%
ValueCountFrequency (%)
7480 1
4.3%
7310 1
4.3%
7122 1
4.3%
5492 1
4.3%
5279 1
4.3%
4761 1
4.3%
4644 1
4.3%
4579 1
4.3%
4459 1
4.3%
4178 1
4.3%

최소서명인수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean610.82609
Minimum0
Maximum939
Zeros2
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-29T00:25:10.724658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile52.3
Q1525
median552
Q3776.5
95-th percentile939
Maximum939
Range939
Interquartile range (IQR)251.5

Descriptive statistics

Standard deviation246.4157
Coefficient of variation (CV)0.40341384
Kurtosis1.7587233
Mean610.82609
Median Absolute Deviation (MAD)165
Skewness-1.0527823
Sum14049
Variance60720.696
MonotonicityNot monotonic
2024-01-29T00:25:10.797532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
717 4
17.4%
527 4
17.4%
523 4
17.4%
939 3
13.0%
836 3
13.0%
552 3
13.0%
0 2
8.7%
ValueCountFrequency (%)
0 2
8.7%
523 4
17.4%
527 4
17.4%
552 3
13.0%
717 4
17.4%
836 3
13.0%
939 3
13.0%
ValueCountFrequency (%)
939 3
13.0%
836 3
13.0%
717 4
17.4%
552 3
13.0%
527 4
17.4%
523 4
17.4%
0 2
8.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2022-09-30 00:00:00
Maximum2022-09-30 00:00:00
2024-01-29T00:25:10.869549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:10.934668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-29T00:25:08.701094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:07.063492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:07.408338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:08.006876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:08.359258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:08.765786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:07.127199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:07.476254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:08.071956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:08.435293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:08.824883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:07.196034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:07.543606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:08.138386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:08.498369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:08.887528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:07.268781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:07.611007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:08.203149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:08.566106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:08.947746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:07.339310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:07.676262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:08.276101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:25:08.644238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T00:25:10.991368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
선거구별읍면동별주민수(19세이상)등록외국인수(19세이상)청구권자 총수서명인수최소서명인수
선거구별1.0001.0000.3610.1470.3610.3611.000
읍면동별1.0001.0001.0001.0001.0001.0001.000
주민수(19세이상)0.3611.0001.0000.4971.0001.0000.291
등록외국인수(19세이상)0.1471.0000.4971.0000.4970.4970.000
청구권자 총수0.3611.0001.0000.4971.0001.0000.291
서명인수0.3611.0001.0000.4971.0001.0000.291
최소서명인수1.0001.0000.2910.0000.2910.2911.000
2024-01-29T00:25:11.089844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주민수(19세이상)등록외국인수(19세이상)청구권자 총수서명인수최소서명인수선거구별
주민수(19세이상)1.0000.6431.0001.0000.5360.139
등록외국인수(19세이상)0.6431.0000.6430.6430.2290.000
청구권자 총수1.0000.6431.0001.0000.5360.139
서명인수1.0000.6431.0001.0000.5360.139
최소서명인수0.5360.2290.5360.5361.0000.943
선거구별0.1390.0000.1390.1390.9431.000

Missing values

2024-01-29T00:25:09.028346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:25:09.130282image/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

구별선거구별읍면동별주민수(19세이상)등록외국인수(19세이상)청구권자 총수서명인수최소서명인수데이터기준일자
0서구가선거구검단동2735310527458549202022-09-30
1서구가선거구불로대곡동185093018539370802022-09-30
2서구나선거구원당동18700341873437477172022-09-30
3서구나선거구당하동22214802229444597172022-09-30
4서구나선거구마전동18079181809736207172022-09-30
5서구나선거구아라동12545151256025127172022-09-30
6서구다선거구오류왕길동20820662088641789392022-09-30
7서구다선거구검암경서동372881113739974809392022-09-30
8서구다선거구연희동35527823560971229392022-09-30
9서구라선거구청라1동23753502380347618362022-09-30
구별선거구별읍면동별주민수(19세이상)등록외국인수(19세이상)청구권자 총수서명인수최소서명인수데이터기준일자
13서구마선거구가정2동58606586611745522022-09-30
14서구마선거구신현원창동26349442639352795522022-09-30
15서구바선거구가정3동860820862817265272022-09-30
16서구바선거구석남1동198811001998139975272022-09-30
17서구바선거구석남2동11637601169723405272022-09-30
18서구바선거구석남3동12286331231924645272022-09-30
19서구사선거구가좌1동11054731112722265232022-09-30
20서구사선거구가좌2동17073181709134195232022-09-30
21서구사선거구가좌3동14883361491929845232022-09-30
22서구사선거구가좌4동912325914818305232022-09-30