Overview

Dataset statistics

Number of variables4
Number of observations239
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory34.6 B

Variable types

Categorical3
Numeric1

Dataset

Description김해시에서 통계기반 도시현황 파악을 위해 개발한 통계지수 중 하나로서, 통계연도, 시도명, 시군구명, 소비자물가지수(퍼센트)로 구성되어 있습니다. 김해시 중심의 통계지수로서, 데이터 수집, 가공 등의 어려움으로 김해시 외 지역의 정보는 누락될 수 있습니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15110104/fileData.do

Alerts

시도명 is highly overall correlated with 시군구명High correlation
시군구명 is highly overall correlated with 시도명High correlation
소비자물가지수(퍼센트) is highly overall correlated with 통계연도High correlation
통계연도 is highly overall correlated with 소비자물가지수(퍼센트)High correlation

Reproduction

Analysis started2023-12-12 12:17:27.031563
Analysis finished2023-12-12 12:17:27.500180
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계연도
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2020
49 
2021
49 
2017
47 
2018
47 
2019
47 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2020 49
20.5%
2021 49
20.5%
2017 47
19.7%
2018 47
19.7%
2019 47
19.7%

Length

2023-12-12T21:17:27.573081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:17:27.705940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 49
20.5%
2021 49
20.5%
2017 47
19.7%
2018 47
19.7%
2019 47
19.7%

시도명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
경기도
47 
경상북도
25 
경상남도
22 
전라남도
20 
전라북도
20 
Other values (13)
105 

Length

Max length7
Median length4
Mean length3.9497908
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전국
2nd row서울특별시
3rd row부산광역시
4th row대구광역시
5th row인천광역시

Common Values

ValueCountFrequency (%)
경기도 47
19.7%
경상북도 25
10.5%
경상남도 22
9.2%
전라남도 20
8.4%
전라북도 20
8.4%
충청남도 20
8.4%
강원도 20
8.4%
충청북도 15
 
6.3%
광주광역시 5
 
2.1%
부산광역시 5
 
2.1%
Other values (8) 40
16.7%

Length

2023-12-12T21:17:27.843607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 47
19.7%
경상북도 25
10.5%
경상남도 22
9.2%
전라남도 20
8.4%
전라북도 20
8.4%
충청남도 20
8.4%
강원도 20
8.4%
충청북도 15
 
6.3%
대전광역시 5
 
2.1%
서울특별시 5
 
2.1%
Other values (8) 40
16.7%

시군구명
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
전국
 
5
서울특별시
 
5
충청북도
 
5
부산광역시
 
5
대구광역시
 
5
Other values (44)
214 

Length

Max length7
Median length3
Mean length3.5857741
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전국
2nd row서울특별시
3rd row부산광역시
4th row대구광역시
5th row인천광역시

Common Values

ValueCountFrequency (%)
전국 5
 
2.1%
서울특별시 5
 
2.1%
충청북도 5
 
2.1%
부산광역시 5
 
2.1%
대구광역시 5
 
2.1%
인천광역시 5
 
2.1%
광주광역시 5
 
2.1%
대전광역시 5
 
2.1%
울산광역시 5
 
2.1%
세종특별자치시 5
 
2.1%
Other values (39) 189
79.1%

Length

2023-12-12T21:17:27.994579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전국 5
 
2.1%
서울특별시 5
 
2.1%
제주특별자치도 5
 
2.1%
천안시 5
 
2.1%
아산시 5
 
2.1%
서산시 5
 
2.1%
전라북도 5
 
2.1%
전주시 5
 
2.1%
군산시 5
 
2.1%
익산시 5
 
2.1%
Other values (39) 189
79.1%

소비자물가지수(퍼센트)
Real number (ℝ)

HIGH CORRELATION 

Distinct135
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.813849
Minimum96.58
Maximum102.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T21:17:28.162019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.58
5-th percentile97.456
Q198.98
median99.54
Q3100
95-th percentile102.75
Maximum102.97
Range6.39
Interquartile range (IQR)1.02

Descriptive statistics

Standard deviation1.6462954
Coefficient of variation (CV)0.016493657
Kurtosis-0.49309059
Mean99.813849
Median Absolute Deviation (MAD)0.46
Skewness0.52361695
Sum23855.51
Variance2.7102885
MonotonicityNot monotonic
2023-12-12T21:17:28.355213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 49
 
20.5%
99.4 4
 
1.7%
99.47 4
 
1.7%
99.34 4
 
1.7%
99.3 4
 
1.7%
102.62 3
 
1.3%
102.5 3
 
1.3%
102.76 3
 
1.3%
102.59 3
 
1.3%
99.44 3
 
1.3%
Other values (125) 159
66.5%
ValueCountFrequency (%)
96.58 1
0.4%
96.91 1
0.4%
97.01 1
0.4%
97.08 1
0.4%
97.19 1
0.4%
97.24 1
0.4%
97.28 1
0.4%
97.31 1
0.4%
97.36 1
0.4%
97.38 1
0.4%
ValueCountFrequency (%)
102.97 1
 
0.4%
102.93 1
 
0.4%
102.91 1
 
0.4%
102.86 2
0.8%
102.82 1
 
0.4%
102.8 1
 
0.4%
102.77 1
 
0.4%
102.76 3
1.3%
102.75 2
0.8%
102.74 1
 
0.4%

Interactions

2023-12-12T21:17:27.234499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:17:28.485316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통계연도시도명시군구명소비자물가지수(퍼센트)
통계연도1.0000.0000.0000.914
시도명0.0001.0001.0000.000
시군구명0.0001.0001.0000.000
소비자물가지수(퍼센트)0.9140.0000.0001.000
2023-12-12T21:17:28.659384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도명통계연도시군구명
시도명1.0000.0000.927
통계연도0.0001.0000.000
시군구명0.9270.0001.000
2023-12-12T21:17:28.785906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소비자물가지수(퍼센트)통계연도시도명시군구명
소비자물가지수(퍼센트)1.0000.8500.0000.000
통계연도0.8501.0000.0000.000
시도명0.0000.0001.0000.927
시군구명0.0000.0000.9271.000

Missing values

2023-12-12T21:17:27.367144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:17:27.463252image/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

통계연도시도명시군구명소비자물가지수(퍼센트)
02017전국전국97.65
12017서울특별시서울특별시97.49
22017부산광역시부산광역시97.64
32017대구광역시대구광역시97.36
42017인천광역시인천광역시97.38
52017광주광역시광주광역시98.19
62017대전광역시대전광역시97.89
72017울산광역시울산광역시99.01
82017세종특별자치시세종특별자치시98.21
92017경기도경기도97.55
통계연도시도명시군구명소비자물가지수(퍼센트)
2292021경상북도포항시102.67
2302021경상북도경주시102.47
2312021경상북도안동시102.93
2322021경상북도구미시102.91
2332021경상남도경상남도102.53
2342021경상남도창원시102.62
2352021경상남도김해시102.48
2362021경상남도양산시102.28
2372021경상남도진주시102.59
2382021제주특별자치도제주특별자치도102.63