Overview

Dataset statistics

Number of variables7
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory64.8 B

Variable types

DateTime1
Numeric6

Dataset

Description울산하늘공원_연도별_이용현황 데이터를 추모의집(전체)안장,추모의집(개인단), 추모의집(부부단), 자연장지, 수목장, 유택동산 항목으로 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15054182/fileData.do

Alerts

추모의집(전체) 안장 is highly overall correlated with 추모의집(개인단) and 1 other fieldsHigh correlation
추모의집(개인단) is highly overall correlated with 추모의집(전체) 안장High correlation
추모의집(부부단) is highly overall correlated with 추모의집(전체) 안장High correlation
년월 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:01:54.782288
Analysis finished2023-12-12 16:01:59.529370
Duration4.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월
Date

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2019-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-13T01:01:59.598392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:59.741635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

추모의집(전체) 안장
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176.58333
Minimum109
Maximum294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-13T01:01:59.871025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum109
5-th percentile138
Q1159.25
median169.5
Q3185.75
95-th percentile234.65
Maximum294
Range185
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation31.50605
Coefficient of variation (CV)0.17842029
Kurtosis3.4874318
Mean176.58333
Median Absolute Deviation (MAD)13
Skewness1.3616515
Sum8476
Variance992.63121
MonotonicityNot monotonic
2023-12-13T01:02:00.020745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
181 3
 
6.2%
180 2
 
4.2%
138 2
 
4.2%
167 2
 
4.2%
169 2
 
4.2%
157 2
 
4.2%
172 2
 
4.2%
166 2
 
4.2%
185 2
 
4.2%
189 1
 
2.1%
Other values (28) 28
58.3%
ValueCountFrequency (%)
109 1
2.1%
137 1
2.1%
138 2
4.2%
148 1
2.1%
149 1
2.1%
151 1
2.1%
153 1
2.1%
155 1
2.1%
156 1
2.1%
157 2
4.2%
ValueCountFrequency (%)
294 1
2.1%
244 1
2.1%
235 1
2.1%
234 1
2.1%
223 1
2.1%
216 1
2.1%
210 1
2.1%
197 1
2.1%
193 1
2.1%
192 1
2.1%

추모의집(개인단)
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.54167
Minimum97
Maximum254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-13T01:02:00.161685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97
5-th percentile119
Q1133
median144
Q3158
95-th percentile195.1
Maximum254
Range157
Interquartile range (IQR)25

Descriptive statistics

Standard deviation25.898294
Coefficient of variation (CV)0.17435037
Kurtosis5.1219846
Mean148.54167
Median Absolute Deviation (MAD)12
Skewness1.6091854
Sum7130
Variance670.72163
MonotonicityNot monotonic
2023-12-13T01:02:00.298299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
138 5
 
10.4%
151 3
 
6.2%
143 2
 
4.2%
119 2
 
4.2%
126 2
 
4.2%
133 2
 
4.2%
130 2
 
4.2%
144 2
 
4.2%
147 2
 
4.2%
166 2
 
4.2%
Other values (24) 24
50.0%
ValueCountFrequency (%)
97 1
2.1%
111 1
2.1%
119 2
4.2%
125 1
2.1%
126 2
4.2%
127 1
2.1%
130 2
4.2%
132 1
2.1%
133 2
4.2%
135 1
2.1%
ValueCountFrequency (%)
254 1
2.1%
203 1
2.1%
200 1
2.1%
186 1
2.1%
176 1
2.1%
171 1
2.1%
167 1
2.1%
166 2
4.2%
165 1
2.1%
162 1
2.1%

추모의집(부부단)
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.875
Minimum8
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-13T01:02:00.428748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12
Q121.5
median27
Q334
95-th percentile44
Maximum52
Range44
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation9.7317751
Coefficient of variation (CV)0.34912198
Kurtosis-0.1255597
Mean27.875
Median Absolute Deviation (MAD)7
Skewness0.25238251
Sum1338
Variance94.707447
MonotonicityNot monotonic
2023-12-13T01:02:00.549593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
24 5
10.4%
34 4
 
8.3%
20 4
 
8.3%
26 4
 
8.3%
36 4
 
8.3%
32 3
 
6.2%
12 3
 
6.2%
28 3
 
6.2%
30 3
 
6.2%
22 3
 
6.2%
Other values (8) 12
25.0%
ValueCountFrequency (%)
8 1
 
2.1%
12 3
6.2%
16 2
 
4.2%
18 2
 
4.2%
20 4
8.3%
22 3
6.2%
24 5
10.4%
26 4
8.3%
28 3
6.2%
30 3
6.2%
ValueCountFrequency (%)
52 1
 
2.1%
48 1
 
2.1%
44 2
4.2%
40 2
4.2%
38 1
 
2.1%
36 4
8.3%
34 4
8.3%
32 3
6.2%
30 3
6.2%
28 3
6.2%

자연장지(잔디장)
Real number (ℝ)

Distinct28
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.333333
Minimum38
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-13T01:02:00.688950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile45
Q149.75
median56.5
Q364
95-th percentile84.3
Maximum95
Range57
Interquartile range (IQR)14.25

Descriptive statistics

Standard deviation12.382784
Coefficient of variation (CV)0.21227629
Kurtosis0.94841067
Mean58.333333
Median Absolute Deviation (MAD)7.5
Skewness0.9567031
Sum2800
Variance153.33333
MonotonicityNot monotonic
2023-12-13T01:02:00.869807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
46 5
 
10.4%
54 4
 
8.3%
45 4
 
8.3%
59 4
 
8.3%
55 3
 
6.2%
62 2
 
4.2%
72 2
 
4.2%
85 2
 
4.2%
60 2
 
4.2%
64 2
 
4.2%
Other values (18) 18
37.5%
ValueCountFrequency (%)
38 1
 
2.1%
39 1
 
2.1%
45 4
8.3%
46 5
10.4%
49 1
 
2.1%
50 1
 
2.1%
51 1
 
2.1%
52 1
 
2.1%
53 1
 
2.1%
54 4
8.3%
ValueCountFrequency (%)
95 1
2.1%
85 2
4.2%
83 1
2.1%
79 1
2.1%
72 2
4.2%
68 1
2.1%
67 1
2.1%
66 1
2.1%
65 1
2.1%
64 2
4.2%

자연장지(수목장)
Real number (ℝ)

Distinct12
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.625
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-13T01:02:01.012412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median6
Q39
95-th percentile11
Maximum18
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.3366119
Coefficient of variation (CV)0.50363953
Kurtosis1.307592
Mean6.625
Median Absolute Deviation (MAD)2
Skewness0.80877265
Sum318
Variance11.132979
MonotonicityNot monotonic
2023-12-13T01:02:01.502447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 6
12.5%
5 6
12.5%
4 6
12.5%
7 6
12.5%
6 5
10.4%
9 4
8.3%
11 4
8.3%
10 4
8.3%
8 3
6.2%
3 2
 
4.2%
Other values (2) 2
 
4.2%
ValueCountFrequency (%)
2 6
12.5%
3 2
 
4.2%
4 6
12.5%
5 6
12.5%
6 5
10.4%
7 6
12.5%
8 3
6.2%
9 4
8.3%
10 4
8.3%
11 4
8.3%
ValueCountFrequency (%)
18 1
 
2.1%
12 1
 
2.1%
11 4
8.3%
10 4
8.3%
9 4
8.3%
8 3
6.2%
7 6
12.5%
6 5
10.4%
5 6
12.5%
4 6
12.5%

유택동산
Real number (ℝ)

Distinct25
Distinct (%)52.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.916667
Minimum22
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-13T01:02:01.646928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile26.35
Q134
median38
Q346
95-th percentile61.9
Maximum70
Range48
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.690687
Coefficient of variation (CV)0.26127951
Kurtosis0.39934742
Mean40.916667
Median Absolute Deviation (MAD)5
Skewness0.816821
Sum1964
Variance114.29078
MonotonicityNot monotonic
2023-12-13T01:02:01.788981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
38 5
 
10.4%
34 4
 
8.3%
58 3
 
6.2%
36 3
 
6.2%
32 2
 
4.2%
41 2
 
4.2%
46 2
 
4.2%
50 2
 
4.2%
37 2
 
4.2%
52 2
 
4.2%
Other values (15) 21
43.8%
ValueCountFrequency (%)
22 1
 
2.1%
25 1
 
2.1%
26 1
 
2.1%
27 1
 
2.1%
29 1
 
2.1%
31 2
4.2%
32 2
4.2%
33 2
4.2%
34 4
8.3%
36 3
6.2%
ValueCountFrequency (%)
70 1
 
2.1%
64 2
4.2%
58 3
6.2%
52 2
4.2%
51 1
 
2.1%
50 2
4.2%
46 2
4.2%
45 1
 
2.1%
43 2
4.2%
42 2
4.2%

Interactions

2023-12-13T01:01:58.782288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:55.020387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:55.969432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:56.909545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:57.597489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:58.194966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:58.877550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:55.123422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:56.152874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:57.029182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:57.715286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:58.306985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:58.966280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:55.551172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:56.319416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:57.153392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:57.835562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:58.408709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:59.045199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:55.638613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:56.441950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:57.254259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:57.919123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:58.508125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:59.129705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:55.750004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:56.614836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:57.365089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:58.015201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:58.591159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:59.230128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:55.868504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:56.796003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:57.503546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:58.103929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:58.693424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:02:01.877236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월추모의집(전체) 안장추모의집(개인단)추모의집(부부단)자연장지(잔디장)자연장지(수목장)유택동산
년월1.0001.0001.0001.0001.0001.0001.000
추모의집(전체) 안장1.0001.0000.8770.7680.6590.0000.507
추모의집(개인단)1.0000.8771.0000.6290.5630.3430.571
추모의집(부부단)1.0000.7680.6291.0000.3130.0000.476
자연장지(잔디장)1.0000.6590.5630.3131.0000.0000.655
자연장지(수목장)1.0000.0000.3430.0000.0001.0000.592
유택동산1.0000.5070.5710.4760.6550.5921.000
2023-12-13T01:02:02.007884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
추모의집(전체) 안장추모의집(개인단)추모의집(부부단)자연장지(잔디장)자연장지(수목장)유택동산
추모의집(전체) 안장1.0000.9400.6050.2090.3480.210
추모의집(개인단)0.9401.0000.3480.2790.2520.214
추모의집(부부단)0.6050.3481.000-0.0350.3940.097
자연장지(잔디장)0.2090.279-0.0351.0000.1630.387
자연장지(수목장)0.3480.2520.3940.1631.0000.021
유택동산0.2100.2140.0970.3870.0211.000

Missing values

2023-12-13T01:01:59.347261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:01:59.469868image/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

년월추모의집(전체) 안장추모의집(개인단)추모의집(부부단)자연장지(잔디장)자연장지(수목장)유택동산
02019-011891553446242
12019-021671412638238
22019-031511193246533
32019-041491252439531
42019-051381261264236
52019-06109971256436
62019-071711512054234
72019-081611332862540
82019-091571273052445
92019-101571352246964
년월추모의집(전체) 안장추모의집(개인단)추모의집(부부단)자연장지(잔디장)자연장지(수목장)유택동산
382022-0329425440951170
392022-0423520332851858
402022-052341864846626
412022-061701383249922
422022-0716613828461141
432022-0822317152641037
442022-0918014436611050
452022-101851612455834
462022-1119316528591038
472022-122442004465834