Overview

Dataset statistics

Number of variables4
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory37.6 B

Variable types

DateTime1
Numeric2
Categorical1

Dataset

Description김천시 음식물폐기물 월별발생현황에 관한 데이터로 월별 가정 단독주택, 가정 공동주택의 배출량(톤) 자료를 공개합니다.
Author경상북도 김천시
URLhttps://www.data.go.kr/data/15126872/fileData.do

Alerts

데이터기준일 has constant value ""Constant
가정 단독주택(일반주택) is highly overall correlated with 가정 공동주택High correlation
가정 공동주택 is highly overall correlated with 가정 단독주택(일반주택)High correlation
발생연월일 has unique valuesUnique
가정 단독주택(일반주택) has unique valuesUnique
가정 공동주택 has unique valuesUnique

Reproduction

Analysis started2024-03-15 00:57:04.826015
Analysis finished2024-03-15 00:57:06.236734
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발생연월일
Date

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
Minimum2021-01-01 00:00:00
Maximum2023-12-01 00:00:00
2024-03-15T09:57:06.353442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:57:06.614383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

가정 단독주택(일반주택)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean375.24583
Minimum184.52
Maximum454.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T09:57:07.010276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184.52
5-th percentile292.2775
Q1354.165
median373.48
Q3408.1125
95-th percentile448.2425
Maximum454.82
Range270.3
Interquartile range (IQR)53.9475

Descriptive statistics

Standard deviation54.6728
Coefficient of variation (CV)0.14569862
Kurtosis3.1237431
Mean375.24583
Median Absolute Deviation (MAD)28.2
Skewness-1.2544373
Sum13508.85
Variance2989.115
MonotonicityNot monotonic
2024-03-15T09:57:07.380784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
308.27 1
 
2.8%
446.98 1
 
2.8%
413.13 1
 
2.8%
267.31 1
 
2.8%
391.45 1
 
2.8%
364.88 1
 
2.8%
300.6 1
 
2.8%
369.71 1
 
2.8%
344.76 1
 
2.8%
401.16 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
184.52 1
2.8%
267.31 1
2.8%
300.6 1
2.8%
308.27 1
2.8%
319.51 1
2.8%
344.76 1
2.8%
345.84 1
2.8%
346.95 1
2.8%
350.07 1
2.8%
355.53 1
2.8%
ValueCountFrequency (%)
454.82 1
2.8%
450.98 1
2.8%
447.33 1
2.8%
446.98 1
2.8%
434.8 1
2.8%
430.06 1
2.8%
425.32 1
2.8%
418.44 1
2.8%
413.13 1
2.8%
406.44 1
2.8%

가정 공동주택
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.50306
Minimum97.83
Maximum254.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T09:57:07.750441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.83
5-th percentile155.4225
Q1182.105
median200.105
Q3214.18
95-th percentile247.0925
Maximum254.26
Range156.43
Interquartile range (IQR)32.075

Descriptive statistics

Standard deviation31.518181
Coefficient of variation (CV)0.15958326
Kurtosis2.7022257
Mean197.50306
Median Absolute Deviation (MAD)16.27
Skewness-0.99968999
Sum7110.11
Variance993.39571
MonotonicityNot monotonic
2024-03-15T09:57:08.083269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
172.04 1
 
2.8%
226.66 1
 
2.8%
168.58 1
 
2.8%
115.95 1
 
2.8%
214.04 1
 
2.8%
183.54 1
 
2.8%
171.49 1
 
2.8%
198.28 1
 
2.8%
182.47 1
 
2.8%
203.8 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
97.83 1
2.8%
115.95 1
2.8%
168.58 1
2.8%
171.49 1
2.8%
172.04 1
2.8%
176.91 1
2.8%
177.56 1
2.8%
179.41 1
2.8%
181.01 1
2.8%
182.47 1
2.8%
ValueCountFrequency (%)
254.26 1
2.8%
253.52 1
2.8%
244.95 1
2.8%
228.84 1
2.8%
226.67 1
2.8%
226.66 1
2.8%
226.12 1
2.8%
216.08 1
2.8%
214.6 1
2.8%
214.04 1
2.8%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-02-26
36 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-26
2nd row2024-02-26
3rd row2024-02-26
4th row2024-02-26
5th row2024-02-26

Common Values

ValueCountFrequency (%)
2024-02-26 36
100.0%

Length

2024-03-15T09:57:08.547993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:57:08.867234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-26 36
100.0%

Interactions

2024-03-15T09:57:05.447756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:57:04.978139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:57:05.636137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:57:05.221054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T09:57:09.060747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발생연월일가정 단독주택(일반주택)가정 공동주택
발생연월일1.0001.0001.000
가정 단독주택(일반주택)1.0001.0000.945
가정 공동주택1.0000.9451.000
2024-03-15T09:57:09.313940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가정 단독주택(일반주택)가정 공동주택
가정 단독주택(일반주택)1.0000.724
가정 공동주택0.7241.000

Missing values

2024-03-15T09:57:06.018075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:57:06.174229image/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

발생연월일가정 단독주택(일반주택)가정 공동주택데이터기준일
02021-01-01308.27172.042024-02-26
12021-02-01319.51179.412024-02-26
22021-03-01357.55188.02024-02-26
32021-04-01355.53181.012024-02-26
42021-05-01358.52199.392024-02-26
52021-06-01386.94208.672024-02-26
62021-07-01454.82254.262024-02-26
72021-08-01434.8253.522024-02-26
82021-09-01406.44210.142024-02-26
92021-10-01388.46210.652024-02-26
발생연월일가정 단독주택(일반주택)가정 공동주택데이터기준일
262023-03-01369.71198.282024-02-26
272023-04-01344.76182.472024-02-26
282023-05-01401.16203.82024-02-26
292023-06-01374.19214.62024-02-26
302023-07-01450.98244.952024-02-26
312023-08-01447.33228.842024-02-26
322023-09-01370.09189.562024-02-26
332023-10-01365.27200.822024-02-26
342023-11-01418.44216.082024-02-26
352023-12-01425.32176.912024-02-26