Overview

Dataset statistics

Number of variables6
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory54.4 B

Variable types

Numeric2
Categorical3
Text1

Dataset

Description울산광역시 북구에서 발생한 공동주택음식물쓰레기발생략공시에 대한 행정동의 법정코드에 대한 정보입니다. (구/군, 동명, 코드포함)
Author울산광역시 북구
URLhttps://www.data.go.kr/data/15090602/fileData.do

Alerts

시_도 has constant value ""Constant
구_군 has constant value ""Constant
번호 is highly overall correlated with 코드 and 1 other fieldsHigh correlation
코드 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
행정동 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:58:29.849734
Analysis finished2023-12-12 21:58:30.463933
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T06:58:30.518967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-13T06:58:30.626736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

코드
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1200522 × 109
Minimum3.12 × 109
Maximum3.120059 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T06:58:30.732153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.12 × 109
5-th percentile3.120051 × 109
Q13.1200522 × 109
median3.120054 × 109
Q33.1200555 × 109
95-th percentile3.1200576 × 109
Maximum3.120059 × 109
Range59000
Interquartile range (IQR)3250

Descriptive statistics

Standard deviation10080.367
Coefficient of variation (CV)3.2308327 × 10-6
Kurtosis27.18716
Mean3.1200522 × 109
Median Absolute Deviation (MAD)2000
Skewness-5.0943499
Sum9.3601566 × 1010
Variance1.0161379 × 108
MonotonicityIncreasing
2023-12-13T06:58:30.831975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3120054000 9
30.0%
3120053000 5
16.7%
3120051000 4
13.3%
3120056000 4
13.3%
3120052000 3
 
10.0%
3120057000 2
 
6.7%
3120000000 1
 
3.3%
3120058000 1
 
3.3%
3120059000 1
 
3.3%
ValueCountFrequency (%)
3120000000 1
 
3.3%
3120051000 4
13.3%
3120052000 3
 
10.0%
3120053000 5
16.7%
3120054000 9
30.0%
3120056000 4
13.3%
3120057000 2
 
6.7%
3120058000 1
 
3.3%
3120059000 1
 
3.3%
ValueCountFrequency (%)
3120059000 1
 
3.3%
3120058000 1
 
3.3%
3120057000 2
 
6.7%
3120056000 4
13.3%
3120054000 9
30.0%
3120053000 5
16.7%
3120052000 3
 
10.0%
3120051000 4
13.3%
3120000000 1
 
3.3%

시_도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
울산광역시
30 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산광역시 30
100.0%

Length

2023-12-13T06:58:30.959156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:58:31.039297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 30
100.0%

구_군
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
북구
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 30
100.0%

Length

2023-12-13T06:58:31.122134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:58:31.203035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 30
100.0%

행정동
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
강동동
9 
농소3동
5 
농소1동
4 
효문동
4 
농소2동
3 
Other values (4)
5 

Length

Max length4
Median length3
Mean length3.4333333
Min length3

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row<NA>
2nd row농소1동
3rd row농소1동
4th row농소1동
5th row농소1동

Common Values

ValueCountFrequency (%)
강동동 9
30.0%
농소3동 5
16.7%
농소1동 4
13.3%
효문동 4
13.3%
농소2동 3
 
10.0%
송정동 2
 
6.7%
<NA> 1
 
3.3%
양정동 1
 
3.3%
염포동 1
 
3.3%

Length

2023-12-13T06:58:31.293295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:58:31.409488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강동동 9
30.0%
농소3동 5
16.7%
농소1동 4
13.3%
효문동 4
13.3%
농소2동 3
 
10.0%
송정동 2
 
6.7%
na 1
 
3.3%
양정동 1
 
3.3%
염포동 1
 
3.3%

법정동
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T06:58:31.599866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9666667
Min length2

Characters and Unicode

Total characters89
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row북구
2nd row창평동
3rd row호계동
4th row매곡동
5th row신천동
ValueCountFrequency (%)
매곡동 2
 
6.7%
신천동 2
 
6.7%
북구 1
 
3.3%
대안동 1
 
3.3%
양정동 1
 
3.3%
송정동 1
 
3.3%
화봉동 1
 
3.3%
효문동 1
 
3.3%
연암동 1
 
3.3%
진장동 1
 
3.3%
Other values (18) 18
60.0%
2023-12-13T06:58:31.882947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 29
32.6%
신 4
 
4.5%
천 4
 
4.5%
곡 3
 
3.4%
정 3
 
3.4%
매 2
 
2.2%
명 2
 
2.2%
산 2
 
2.2%
대 2
 
2.2%
안 2
 
2.2%
Other values (35) 36
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 29
32.6%
신 4
 
4.5%
천 4
 
4.5%
곡 3
 
3.4%
정 3
 
3.4%
매 2
 
2.2%
명 2
 
2.2%
산 2
 
2.2%
대 2
 
2.2%
안 2
 
2.2%
Other values (35) 36
40.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 29
32.6%
신 4
 
4.5%
천 4
 
4.5%
곡 3
 
3.4%
정 3
 
3.4%
매 2
 
2.2%
명 2
 
2.2%
산 2
 
2.2%
대 2
 
2.2%
안 2
 
2.2%
Other values (35) 36
40.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 29
32.6%
신 4
 
4.5%
천 4
 
4.5%
곡 3
 
3.4%
정 3
 
3.4%
매 2
 
2.2%
명 2
 
2.2%
산 2
 
2.2%
대 2
 
2.2%
안 2
 
2.2%
Other values (35) 36
40.4%

Interactions

2023-12-13T06:58:30.131084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:58:29.985116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:58:30.206120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:58:30.057235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:58:31.968821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호코드행정동법정동
번호1.0000.9940.8010.963
코드0.9941.0001.0001.000
행정동0.8011.0001.0000.770
법정동0.9631.0000.7701.000
2023-12-13T06:58:32.056397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호코드행정동
번호1.0000.9810.515
코드0.9811.0000.882
행정동0.5150.8821.000

Missing values

2023-12-13T06:58:30.325594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:58:30.430175image/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

번호코드시_도구_군행정동법정동
013120000000울산광역시북구<NA>북구
123120051000울산광역시북구농소1동창평동
233120051000울산광역시북구농소1동호계동
343120051000울산광역시북구농소1동매곡동
453120051000울산광역시북구농소1동신천동
563120052000울산광역시북구농소2동매곡동
673120052000울산광역시북구농소2동신천동
783120052000울산광역시북구농소2동중산동
893120053000울산광역시북구농소3동가대동
9103120053000울산광역시북구농소3동상안동
번호코드시_도구_군행정동법정동
20213120054000울산광역시북구강동동산하동
21223120054000울산광역시북구강동동어물동
22233120056000울산광역시북구효문동명촌동
23243120056000울산광역시북구효문동진장동
24253120056000울산광역시북구효문동연암동
25263120056000울산광역시북구효문동효문동
26273120057000울산광역시북구송정동화봉동
27283120057000울산광역시북구송정동송정동
28293120058000울산광역시북구양정동양정동
29303120059000울산광역시북구염포동염포동