Overview

Dataset statistics

Number of variables8
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory72.5 B

Variable types

Categorical2
Text1
Numeric5

Dataset

Description영천시시설관리공단에서 운영 중인 운주산승마자연휴양림의 객실정보입니다. 상세 내용으로 객실의 분류, 객실 방 제목, 인원수, 성수기 평일/주말, 비수기 평일/주말 요금 정보가 있습니다.
Author영천시시설관리공단
URLhttps://www.data.go.kr/data/15106710/fileData.do

Alerts

시설명 has constant value ""Constant
인원수 is highly overall correlated with 성수기_평일 금액 and 4 other fieldsHigh correlation
성수기_평일 금액 is highly overall correlated with 인원수 and 4 other fieldsHigh correlation
성수기_주말 금액 is highly overall correlated with 인원수 and 4 other fieldsHigh correlation
비수기_평일 금액 is highly overall correlated with 인원수 and 4 other fieldsHigh correlation
비수기_주말 금액 is highly overall correlated with 인원수 and 4 other fieldsHigh correlation
분류 is highly overall correlated with 인원수 and 4 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 07:09:08.389694
Analysis finished2023-12-12 07:09:11.197632
Duration2.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
운주산승마자연휴양림
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운주산승마자연휴양림 38
100.0%

Length

2023-12-12T16:09:11.252795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:09:11.357446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운주산승마자연휴양림 38
100.0%

분류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
숲속의집
20 
야영데크
10 
산림문화휴양관
8 

Length

Max length7
Median length4
Mean length4.6315789
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
숲속의집 20
52.6%
야영데크 10
26.3%
산림문화휴양관 8
 
21.1%

Length

2023-12-12T16:09:11.477813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:09:11.613482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숲속의집 20
52.6%
야영데크 10
26.3%
산림문화휴양관 8
 
21.1%

방제목
Text

Distinct28
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T16:09:11.804912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.7368421
Min length2

Characters and Unicode

Total characters104
Distinct characters11
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

Unique18 ?
Unique (%)47.4%

Sample

1st row1호
2nd row2호
3rd row3호
4th row4호
5th row5호
ValueCountFrequency (%)
1호 2
 
5.3%
10호 2
 
5.3%
6호 2
 
5.3%
9호 2
 
5.3%
8호 2
 
5.3%
2호 2
 
5.3%
3호 2
 
5.3%
5호 2
 
5.3%
4호 2
 
5.3%
7호 2
 
5.3%
Other values (18) 18
47.4%
2023-12-12T16:09:12.100937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 38
36.5%
1 16
15.4%
0 11
 
10.6%
2 10
 
9.6%
3 9
 
8.7%
4 5
 
4.8%
6 3
 
2.9%
7 3
 
2.9%
5 3
 
2.9%
8 3
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66
63.5%
Other Letter 38
36.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
24.2%
0 11
16.7%
2 10
15.2%
3 9
13.6%
4 5
 
7.6%
6 3
 
4.5%
7 3
 
4.5%
5 3
 
4.5%
8 3
 
4.5%
9 3
 
4.5%
Other Letter
ValueCountFrequency (%)
호 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 66
63.5%
Hangul 38
36.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 16
24.2%
0 11
16.7%
2 10
15.2%
3 9
13.6%
4 5
 
7.6%
6 3
 
4.5%
7 3
 
4.5%
5 3
 
4.5%
8 3
 
4.5%
9 3
 
4.5%
Hangul
ValueCountFrequency (%)
호 38
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66
63.5%
Hangul 38
36.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 38
100.0%
ASCII
ValueCountFrequency (%)
1 16
24.2%
0 11
16.7%
2 10
15.2%
3 9
13.6%
4 5
 
7.6%
6 3
 
4.5%
7 3
 
4.5%
5 3
 
4.5%
8 3
 
4.5%
9 3
 
4.5%

인원수
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8421053
Minimum4
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:09:12.201510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14.5
median9
Q310
95-th percentile10.6
Maximum14
Range10
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation2.9272837
Coefficient of variation (CV)0.37327779
Kurtosis-0.89854691
Mean7.8421053
Median Absolute Deviation (MAD)2
Skewness0.041321789
Sum298
Variance8.56899
MonotonicityNot monotonic
2023-12-12T16:09:12.560447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
10 16
42.1%
4 10
26.3%
6 4
 
10.5%
7 4
 
10.5%
9 2
 
5.3%
14 2
 
5.3%
ValueCountFrequency (%)
4 10
26.3%
6 4
 
10.5%
7 4
 
10.5%
9 2
 
5.3%
10 16
42.1%
14 2
 
5.3%
ValueCountFrequency (%)
14 2
 
5.3%
10 16
42.1%
9 2
 
5.3%
7 4
 
10.5%
6 4
 
10.5%
4 10
26.3%

성수기_평일 금액
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85789.474
Minimum12000
Maximum160000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:09:12.657464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12000
5-th percentile12000
Q129000
median110000
Q3120000
95-th percentile126000
Maximum160000
Range148000
Interquartile range (IQR)91000

Descriptive statistics

Standard deviation48089.532
Coefficient of variation (CV)0.56055283
Kurtosis-1.0024041
Mean85789.474
Median Absolute Deviation (MAD)20000
Skewness-0.64947876
Sum3260000
Variance2.3126031 × 109
MonotonicityNot monotonic
2023-12-12T16:09:12.763210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
120000 16
42.1%
12000 10
26.3%
80000 4
 
10.5%
90000 4
 
10.5%
110000 2
 
5.3%
160000 2
 
5.3%
ValueCountFrequency (%)
12000 10
26.3%
80000 4
 
10.5%
90000 4
 
10.5%
110000 2
 
5.3%
120000 16
42.1%
160000 2
 
5.3%
ValueCountFrequency (%)
160000 2
 
5.3%
120000 16
42.1%
110000 2
 
5.3%
90000 4
 
10.5%
80000 4
 
10.5%
12000 10
26.3%

성수기_주말 금액
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85789.474
Minimum12000
Maximum160000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:09:12.860596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12000
5-th percentile12000
Q129000
median110000
Q3120000
95-th percentile126000
Maximum160000
Range148000
Interquartile range (IQR)91000

Descriptive statistics

Standard deviation48089.532
Coefficient of variation (CV)0.56055283
Kurtosis-1.0024041
Mean85789.474
Median Absolute Deviation (MAD)20000
Skewness-0.64947876
Sum3260000
Variance2.3126031 × 109
MonotonicityNot monotonic
2023-12-12T16:09:12.968186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
120000 16
42.1%
12000 10
26.3%
80000 4
 
10.5%
90000 4
 
10.5%
110000 2
 
5.3%
160000 2
 
5.3%
ValueCountFrequency (%)
12000 10
26.3%
80000 4
 
10.5%
90000 4
 
10.5%
110000 2
 
5.3%
120000 16
42.1%
160000 2
 
5.3%
ValueCountFrequency (%)
160000 2
 
5.3%
120000 16
42.1%
110000 2
 
5.3%
90000 4
 
10.5%
80000 4
 
10.5%
12000 10
26.3%

비수기_평일 금액
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51157.895
Minimum6000
Maximum96000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:09:13.065192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6000
5-th percentile6000
Q116500
median66000
Q372000
95-th percentile75600
Maximum96000
Range90000
Interquartile range (IQR)55500

Descriptive statistics

Standard deviation29352.035
Coefficient of variation (CV)0.57375377
Kurtosis-0.99872532
Mean51157.895
Median Absolute Deviation (MAD)12000
Skewness-0.66467317
Sum1944000
Variance8.6154196 × 108
MonotonicityNot monotonic
2023-12-12T16:09:13.218728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
72000 16
42.1%
6000 10
26.3%
48000 4
 
10.5%
54000 4
 
10.5%
66000 2
 
5.3%
96000 2
 
5.3%
ValueCountFrequency (%)
6000 10
26.3%
48000 4
 
10.5%
54000 4
 
10.5%
66000 2
 
5.3%
72000 16
42.1%
96000 2
 
5.3%
ValueCountFrequency (%)
96000 2
 
5.3%
72000 16
42.1%
66000 2
 
5.3%
54000 4
 
10.5%
48000 4
 
10.5%
6000 10
26.3%

비수기_주말 금액
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84210.526
Minimum6000
Maximum160000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T16:09:13.379925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6000
5-th percentile6000
Q124500
median110000
Q3120000
95-th percentile126000
Maximum160000
Range154000
Interquartile range (IQR)95500

Descriptive statistics

Standard deviation50587.445
Coefficient of variation (CV)0.60072591
Kurtosis-0.99126013
Mean84210.526
Median Absolute Deviation (MAD)20000
Skewness-0.69308668
Sum3200000
Variance2.5590896 × 109
MonotonicityNot monotonic
2023-12-12T16:09:13.481708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
120000 16
42.1%
6000 10
26.3%
80000 4
 
10.5%
90000 4
 
10.5%
110000 2
 
5.3%
160000 2
 
5.3%
ValueCountFrequency (%)
6000 10
26.3%
80000 4
 
10.5%
90000 4
 
10.5%
110000 2
 
5.3%
120000 16
42.1%
160000 2
 
5.3%
ValueCountFrequency (%)
160000 2
 
5.3%
120000 16
42.1%
110000 2
 
5.3%
90000 4
 
10.5%
80000 4
 
10.5%
6000 10
26.3%

Interactions

2023-12-12T16:09:10.572734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:08.650859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:09.102817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:09.594649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:10.105593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:10.647344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:08.733979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:09.199338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:09.684801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:10.193906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:10.732308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:08.820975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:09.292528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:09.784080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:10.304873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:10.818888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:08.920572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:09.401548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:09.895791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:10.412270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:10.898059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:08.999618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:09.495185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:09.999907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:10.488478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:09:13.588991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류방제목인원수성수기_평일 금액성수기_주말 금액비수기_평일 금액비수기_주말 금액
분류1.0000.0000.9820.5130.5130.5130.513
방제목0.0001.0000.0001.0001.0001.0001.000
인원수0.9820.0001.0001.0001.0001.0001.000
성수기_평일 금액0.5131.0001.0001.0001.0001.0001.000
성수기_주말 금액0.5131.0001.0001.0001.0001.0001.000
비수기_평일 금액0.5131.0001.0001.0001.0001.0001.000
비수기_주말 금액0.5131.0001.0001.0001.0001.0001.000
2023-12-12T16:09:13.742289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인원수성수기_평일 금액성수기_주말 금액비수기_평일 금액비수기_주말 금액분류
인원수1.0001.0001.0001.0001.0000.798
성수기_평일 금액1.0001.0001.0001.0001.0000.798
성수기_주말 금액1.0001.0001.0001.0001.0000.798
비수기_평일 금액1.0001.0001.0001.0001.0000.798
비수기_주말 금액1.0001.0001.0001.0001.0000.798
분류0.7980.7980.7980.7980.7981.000

Missing values

2023-12-12T16:09:11.021363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:09:11.154799image/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

시설명분류방제목인원수성수기_평일 금액성수기_주말 금액비수기_평일 금액비수기_주말 금액
0운주산승마자연휴양림숲속의집1호911000011000066000110000
1운주산승마자연휴양림숲속의집2호911000011000066000110000
2운주산승마자연휴양림숲속의집3호680000800004800080000
3운주산승마자연휴양림숲속의집4호680000800004800080000
4운주산승마자연휴양림숲속의집5호1012000012000072000120000
5운주산승마자연휴양림숲속의집6호1012000012000072000120000
6운주산승마자연휴양림숲속의집7호1012000012000072000120000
7운주산승마자연휴양림숲속의집8호680000800004800080000
8운주산승마자연휴양림숲속의집9호1416000016000096000160000
9운주산승마자연휴양림숲속의집10호1416000016000096000160000
시설명분류방제목인원수성수기_평일 금액성수기_주말 금액비수기_평일 금액비수기_주말 금액
28운주산승마자연휴양림야영데크1호4120001200060006000
29운주산승마자연휴양림야영데크2호4120001200060006000
30운주산승마자연휴양림야영데크3호4120001200060006000
31운주산승마자연휴양림야영데크4호4120001200060006000
32운주산승마자연휴양림야영데크5호4120001200060006000
33운주산승마자연휴양림야영데크6호4120001200060006000
34운주산승마자연휴양림야영데크7호4120001200060006000
35운주산승마자연휴양림야영데크8호4120001200060006000
36운주산승마자연휴양림야영데크9호4120001200060006000
37운주산승마자연휴양림야영데크10호4120001200060006000