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 memory82.6 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://www.data.go.kr/data/15091233/fileData.do

Alerts

구별 has constant value ""Constant
데이터기준일자 has constant value ""Constant
주민수(19세이상) is highly overall correlated with 등록외국인수(19세이상) and 2 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 2 other fieldsHigh correlation
서명인수 is highly overall correlated with 주민수(19세이상) and 2 other fieldsHigh correlation
최소서명인수 is highly overall correlated with 선거구별High 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

Reproduction

Analysis started2024-03-14 21:04:36.143058
Analysis finished2024-03-14 21:04:44.143025
Duration8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구별
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 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

2024-03-15T06:04:44.267998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:04:44.520182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 23
100.0%

선거구별
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size312.0 B
제2선거구
7 
제3선거구
4 
제5선거구
4 
제6선거구
4 
제1선거구
2 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제1선거구
2nd row제1선거구
3rd row제2선거구
4th row제2선거구
5th row제2선거구

Common Values

ValueCountFrequency (%)
제2선거구 7
30.4%
제3선거구 4
17.4%
제5선거구 4
17.4%
제6선거구 4
17.4%
제1선거구 2
 
8.7%
제4선거구 2
 
8.7%

Length

2024-03-15T06:04:44.678601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:04:44.914449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제2선거구 7
30.4%
제3선거구 4
17.4%
제5선거구 4
17.4%
제6선거구 4
17.4%
제1선거구 2
 
8.7%
제4선거구 2
 
8.7%

읍면동별
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-15T06:04:45.709792image/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 row청라1동
2nd row청라2동
3rd row석남1동
4th row석남2동
5th row석남3동
ValueCountFrequency (%)
청라1동 1
 
4.3%
신현원창동 1
 
4.3%
원당동 1
 
4.3%
불로대곡동 1
 
4.3%
검단동 1
 
4.3%
마전동 1
 
4.3%
오류왕길동 1
 
4.3%
당하동 1
 
4.3%
청라3동 1
 
4.3%
연희동 1
 
4.3%
Other values (13) 13
56.5%
2024-03-15T06:04:46.957908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 23
25.6%
가 7
 
7.8%
라 4
 
4.4%
1 4
 
4.4%
2 4
 
4.4%
좌 4
 
4.4%
3 4
 
4.4%
정 3
 
3.3%
청 3
 
3.3%
남 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%
라 4
 
5.2%
좌 4
 
5.2%
정 3
 
3.9%
청 3
 
3.9%
남 3
 
3.9%
석 3
 
3.9%
당 2
 
2.6%
원 2
 
2.6%
Other values (22) 23
29.9%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
2 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%
라 4
 
5.2%
좌 4
 
5.2%
정 3
 
3.9%
청 3
 
3.9%
남 3
 
3.9%
석 3
 
3.9%
당 2
 
2.6%
원 2
 
2.6%
Other values (22) 23
29.9%
Common
ValueCountFrequency (%)
1 4
30.8%
2 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%
라 4
 
5.2%
좌 4
 
5.2%
정 3
 
3.9%
청 3
 
3.9%
남 3
 
3.9%
석 3
 
3.9%
당 2
 
2.6%
원 2
 
2.6%
Other values (22) 23
29.9%
ASCII
ValueCountFrequency (%)
1 4
30.8%
2 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%
Mean22277.304
Minimum7985
Maximum47878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-15T06:04:47.274980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7985
5-th percentile10423.4
Q114038.5
median19389
Q327041.5
95-th percentile43904.2
Maximum47878
Range39893
Interquartile range (IQR)13003

Descriptive statistics

Standard deviation10878.071
Coefficient of variation (CV)0.48830283
Kurtosis0.26211796
Mean22277.304
Median Absolute Deviation (MAD)7261
Skewness0.9102179
Sum512378
Variance1.1833242 × 108
MonotonicityNot monotonic
2024-03-15T06:04:47.674742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
23328 1
 
4.3%
36094 1
 
4.3%
47878 1
 
4.3%
18376 1
 
4.3%
19389 1
 
4.3%
27433 1
 
4.3%
17678 1
 
4.3%
20220 1
 
4.3%
23717 1
 
4.3%
26650 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
7985 1
4.3%
10368 1
4.3%
10922 1
4.3%
11343 1
4.3%
11430 1
4.3%
13905 1
4.3%
14172 1
4.3%
16130 1
4.3%
17678 1
4.3%
18376 1
4.3%
ValueCountFrequency (%)
47878 1
4.3%
44772 1
4.3%
36094 1
4.3%
33761 1
4.3%
32952 1
4.3%
27433 1
4.3%
26650 1
4.3%
25199 1
4.3%
23717 1
4.3%
23328 1
4.3%

등록외국인수(19세이상)
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.521739
Minimum13
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-15T06:04:48.050585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile17.4
Q133
median58
Q384.5
95-th percentile133.5
Maximum143
Range130
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation35.806131
Coefficient of variation (CV)0.5726989
Kurtosis0.044335671
Mean62.521739
Median Absolute Deviation (MAD)27
Skewness0.69854276
Sum1438
Variance1282.0791
MonotonicityNot monotonic
2024-03-15T06:04:48.374418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
68 2
 
8.7%
58 1
 
4.3%
136 1
 
4.3%
87 1
 
4.3%
29 1
 
4.3%
35 1
 
4.3%
143 1
 
4.3%
37 1
 
4.3%
86 1
 
4.3%
77 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
13 1
4.3%
17 1
4.3%
21 1
4.3%
26 1
4.3%
29 1
4.3%
31 1
4.3%
35 1
4.3%
37 1
4.3%
50 1
4.3%
53 1
4.3%
ValueCountFrequency (%)
143 1
4.3%
136 1
4.3%
111 1
4.3%
89 1
4.3%
87 1
4.3%
86 1
4.3%
83 1
4.3%
77 1
4.3%
68 2
8.7%
65 1
4.3%

청구권자 총수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22339.826
Minimum8006
Maximum47965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-15T06:04:48.746029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8006
5-th percentile10456.6
Q114070
median19424
Q327145.5
95-th percentile44033.4
Maximum47965
Range39959
Interquartile range (IQR)13075.5

Descriptive statistics

Standard deviation10899.641
Coefficient of variation (CV)0.48790176
Kurtosis0.2592839
Mean22339.826
Median Absolute Deviation (MAD)7291
Skewness0.90919922
Sum513816
Variance1.1880216 × 108
MonotonicityNot monotonic
2024-03-15T06:04:48.959873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
23386 1
 
4.3%
36162 1
 
4.3%
47965 1
 
4.3%
18405 1
 
4.3%
19424 1
 
4.3%
27576 1
 
4.3%
17715 1
 
4.3%
20306 1
 
4.3%
23794 1
 
4.3%
26715 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
8006 1
4.3%
10399 1
4.3%
10975 1
4.3%
11432 1
4.3%
11456 1
4.3%
13918 1
4.3%
14222 1
4.3%
16147 1
4.3%
17715 1
4.3%
18405 1
4.3%
ValueCountFrequency (%)
47965 1
4.3%
44908 1
4.3%
36162 1
4.3%
33844 1
4.3%
33020 1
4.3%
27576 1
4.3%
26715 1
4.3%
25254 1
4.3%
23794 1
4.3%
23386 1
4.3%

서명인수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4455.4783
Minimum1597
Maximum9576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-15T06:04:49.183084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1597
5-th percentile2085
Q12807.5
median3878
Q35408.5
95-th percentile8780.5
Maximum9576
Range7979
Interquartile range (IQR)2601

Descriptive statistics

Standard deviation2175.6044
Coefficient of variation (CV)0.48829873
Kurtosis0.26228077
Mean4455.4783
Median Absolute Deviation (MAD)1452
Skewness0.91024399
Sum102476
Variance4733254.4
MonotonicityNot monotonic
2024-03-15T06:04:49.499034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4666 1
 
4.3%
7219 1
 
4.3%
9576 1
 
4.3%
3675 1
 
4.3%
3878 1
 
4.3%
5487 1
 
4.3%
3536 1
 
4.3%
4044 1
 
4.3%
4743 1
 
4.3%
5330 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1597 1
4.3%
2074 1
4.3%
2184 1
4.3%
2269 1
4.3%
2286 1
4.3%
2781 1
4.3%
2834 1
4.3%
3226 1
4.3%
3536 1
4.3%
3675 1
4.3%
ValueCountFrequency (%)
9576 1
4.3%
8954 1
4.3%
7219 1
4.3%
6752 1
4.3%
6590 1
4.3%
5487 1
4.3%
5330 1
4.3%
5040 1
4.3%
4743 1
4.3%
4666 1
4.3%

최소서명인수
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean895.69565
Minimum596
Maximum1134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-15T06:04:49.849858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum596
5-th percentile615.2
Q1802
median886
Q3935
95-th percentile1134
Maximum1134
Range538
Interquartile range (IQR)133

Descriptive statistics

Standard deviation147.13829
Coefficient of variation (CV)0.16427264
Kurtosis0.319205
Mean895.69565
Median Absolute Deviation (MAD)84
Skewness-0.079243725
Sum20601
Variance21649.676
MonotonicityNot monotonic
2024-03-15T06:04:50.071810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
935 7
30.4%
802 4
17.4%
886 4
17.4%
1134 4
17.4%
596 2
 
8.7%
788 2
 
8.7%
ValueCountFrequency (%)
596 2
 
8.7%
788 2
 
8.7%
802 4
17.4%
886 4
17.4%
935 7
30.4%
1134 4
17.4%
ValueCountFrequency (%)
1134 4
17.4%
935 7
30.4%
886 4
17.4%
802 4
17.4%
788 2
 
8.7%
596 2
 
8.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
Minimum2024-01-04 00:00:00
Maximum2024-01-04 00:00:00
2024-03-15T06:04:50.273558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:50.501726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T06:04:42.126970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:36.538725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:38.089031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:39.215828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:40.836378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:42.389274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:36.827634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:38.263266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:39.481242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:41.112531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:42.641135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:37.107347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:38.426370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:39.948081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:41.323138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:42.916120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:37.390001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:38.686069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:40.214390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:41.628847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:43.168495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:37.776813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:38.946044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:40.480574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:04:41.877189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T06:04:50.630546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
선거구별읍면동별주민수(19세이상)등록외국인수(19세이상)청구권자 총수서명인수최소서명인수
선거구별1.0001.0000.6540.0000.6540.6541.000
읍면동별1.0001.0001.0001.0001.0001.0001.000
주민수(19세이상)0.6541.0001.0000.2731.0001.0000.657
등록외국인수(19세이상)0.0001.0000.2731.0000.2730.2730.000
청구권자 총수0.6541.0001.0000.2731.0001.0000.657
서명인수0.6541.0001.0000.2731.0001.0000.657
최소서명인수1.0001.0000.6570.0000.6570.6571.000
2024-03-15T06:04:50.827654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주민수(19세이상)등록외국인수(19세이상)청구권자 총수서명인수최소서명인수선거구별
주민수(19세이상)1.0000.6411.0001.000-0.2810.351
등록외국인수(19세이상)0.6411.0000.6410.641-0.0540.000
청구권자 총수1.0000.6411.0001.000-0.2810.351
서명인수1.0000.6411.0001.000-0.2810.351
최소서명인수-0.281-0.054-0.281-0.2811.0000.972
선거구별0.3510.0000.3510.3510.9721.000

Missing values

2024-03-15T06:04:43.508332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T06:04:43.961875image/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
0서구제1선거구청라1동23328582338646665962024-01-04
1서구제1선거구청라2동36094683616272195962024-01-04
2서구제2선거구석남1동186761111878737359352024-01-04
3서구제2선거구석남2동10922531097521849352024-01-04
4서구제2선거구석남3동11430261145622869352024-01-04
5서구제2선거구가좌1동11343891143222699352024-01-04
6서구제2선거구가좌2동16130171614732269352024-01-04
7서구제2선거구가좌3동14172501422228349352024-01-04
8서구제2선거구가좌4동10368311039920749352024-01-04
9서구제3선거구가정1동32952683302065908022024-01-04
구별선거구별읍면동별주민수(19세이상)등록외국인수(19세이상)청구권자 총수서명인수최소서명인수데이터기준일자
13서구제4선거구검암경서동447721364490889547882024-01-04
14서구제4선거구연희동33761833384467527882024-01-04
15서구제5선거구청라3동26650652671553308862024-01-04
16서구제5선거구당하동23717772379447438862024-01-04
17서구제5선거구오류왕길동20220862030640448862024-01-04
18서구제5선거구마전동17678371771535368862024-01-04
19서구제6선거구검단동2743314327576548711342024-01-04
20서구제6선거구불로대곡동193893519424387811342024-01-04
21서구제6선거구원당동183762918405367511342024-01-04
22서구제6선거구아라동478788747965957611342024-01-04