Overview

Dataset statistics

Number of variables10
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory86.3 B

Variable types

Categorical7
Numeric3

Dataset

Description샘플 데이터
Author지디에스컨설팅그룹
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=5bdb5540-2e00-11ea-9713-eb3e5186fb38

Alerts

생태관광고유번호 has constant value ""Constant
생태관광지군 has constant value ""Constant
생태관광지명 has constant value ""Constant
이용고객수 has constant value ""Constant

Reproduction

Analysis started2023-12-10 10:56:32.665505
Analysis finished2023-12-10 10:56:35.185640
Duration2.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

생태관광고유번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 100
100.0%

Length

2023-12-10T19:56:35.305248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:56:35.470534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 100
100.0%

생태관광지군
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
제주 동백동산습지
100 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제주 동백동산습지
2nd row제주 동백동산습지
3rd row제주 동백동산습지
4th row제주 동백동산습지
5th row제주 동백동산습지

Common Values

ValueCountFrequency (%)
제주 동백동산습지 100
100.0%

Length

2023-12-10T19:56:35.672773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:56:35.864369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주 100
50.0%
동백동산습지 100
50.0%

생태관광지명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
동백동산습지센터
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동백동산습지센터 100
100.0%

Length

2023-12-10T19:56:36.053507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:56:36.234997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동백동산습지센터 100
100.0%

사용년월
Real number (ℝ)

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1882.46
Minimum1810
Maximum1907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:56:36.419854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1810
5-th percentile1810
Q11901
median1905
Q31907
95-th percentile1907
Maximum1907
Range97
Interquartile range (IQR)6

Descriptive statistics

Standard deviation40.680182
Coefficient of variation (CV)0.021610117
Kurtosis-0.48682954
Mean1882.46
Median Absolute Deviation (MAD)2
Skewness-1.230037
Sum188246
Variance1654.8772
MonotonicityNot monotonic
2023-12-10T19:56:36.653842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1907 32
32.0%
1810 15
15.0%
1905 11
 
11.0%
1902 8
 
8.0%
1904 8
 
8.0%
1906 8
 
8.0%
1811 6
 
6.0%
1903 5
 
5.0%
1901 4
 
4.0%
1812 3
 
3.0%
ValueCountFrequency (%)
1810 15
15.0%
1811 6
 
6.0%
1812 3
 
3.0%
1901 4
 
4.0%
1902 8
 
8.0%
1903 5
 
5.0%
1904 8
 
8.0%
1905 11
 
11.0%
1906 8
 
8.0%
1907 32
32.0%
ValueCountFrequency (%)
1907 32
32.0%
1906 8
 
8.0%
1905 11
 
11.0%
1904 8
 
8.0%
1903 5
 
5.0%
1902 8
 
8.0%
1901 4
 
4.0%
1812 3
 
3.0%
1811 6
 
6.0%
1810 15
15.0%

업종명
Categorical

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
한식
38 
편의점
29 
일반음식점 기타
11 
기타 레저업소
6 
공연장/전시장
4 
Other values (7)
12 

Length

Max length10
Median length9
Mean length4.03
Min length2

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row한식
2nd row한식
3rd row한식
4th row기타 레저업소
5th row기타 레저업소

Common Values

ValueCountFrequency (%)
한식 38
38.0%
편의점 29
29.0%
일반음식점 기타 11
 
11.0%
기타 레저업소 6
 
6.0%
공연장/전시장 4
 
4.0%
제과점/아이스크림점 3
 
3.0%
커피전문점 2
 
2.0%
농．수．축산물점 2
 
2.0%
슈퍼마켓 2
 
2.0%
농．수．축협직판장 1
 
1.0%
Other values (2) 2
 
2.0%

Length

2023-12-10T19:56:36.920707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 38
32.5%
편의점 29
24.8%
기타 17
14.5%
일반음식점 11
 
9.4%
레저업소 6
 
5.1%
공연장/전시장 4
 
3.4%
제과점/아이스크림점 3
 
2.6%
커피전문점 2
 
1.7%
농．수．축산물점 2
 
1.7%
슈퍼마켓 2
 
1.7%
Other values (3) 3
 
2.6%

성별
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2.여성
52 
1.남성
48 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.남성
2nd row2.여성
3rd row2.여성
4th row2.여성
5th row2.여성

Common Values

ValueCountFrequency (%)
2.여성 52
52.0%
1.남성 48
48.0%

Length

2023-12-10T19:56:37.170290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:56:37.349833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2.여성 52
52.0%
1.남성 48
48.0%

연령별
Categorical

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
07.40세미만
28 
09.50세미만
22 
08.45세미만
20 
10.55세미만
8 
06.35세미만
6 
Other values (5)
16 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row09.50세미만
2nd row07.40세미만
3rd row09.50세미만
4th row07.40세미만
5th row08.45세미만

Common Values

ValueCountFrequency (%)
07.40세미만 28
28.0%
09.50세미만 22
22.0%
08.45세미만 20
20.0%
10.55세미만 8
 
8.0%
06.35세미만 6
 
6.0%
05.30세미만 6
 
6.0%
11.60세미만 5
 
5.0%
12.65세미만 3
 
3.0%
13.70세미만 1
 
1.0%
04.25세미만 1
 
1.0%

Length

2023-12-10T19:56:37.884230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:56:38.135842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07.40세미만 28
28.0%
09.50세미만 22
22.0%
08.45세미만 20
20.0%
10.55세미만 8
 
8.0%
06.35세미만 6
 
6.0%
05.30세미만 6
 
6.0%
11.60세미만 5
 
5.0%
12.65세미만 3
 
3.0%
13.70세미만 1
 
1.0%
04.25세미만 1
 
1.0%

금액
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137590.8
Minimum19520
Maximum446600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:56:38.479545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19520
5-th percentile22390
Q153357.5
median97500
Q3212750
95-th percentile340707.5
Maximum446600
Range427080
Interquartile range (IQR)159392.5

Descriptive statistics

Standard deviation107921.86
Coefficient of variation (CV)0.78436832
Kurtosis0.070014815
Mean137590.8
Median Absolute Deviation (MAD)55350
Skewness1.0001916
Sum13759080
Variance1.1647129 × 1010
MonotonicityNot monotonic
2023-12-10T19:56:38.770846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132000 2
 
2.0%
88500 2
 
2.0%
81000 2
 
2.0%
340000 1
 
1.0%
43000 1
 
1.0%
235000 1
 
1.0%
138500 1
 
1.0%
95400 1
 
1.0%
415500 1
 
1.0%
160000 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
19520 1
1.0%
19600 1
1.0%
21130 1
1.0%
21600 1
1.0%
22200 1
1.0%
22400 1
1.0%
23800 1
1.0%
24000 1
1.0%
25250 1
1.0%
25400 1
1.0%
ValueCountFrequency (%)
446600 1
1.0%
415500 1
1.0%
405000 1
1.0%
399690 1
1.0%
354150 1
1.0%
340000 1
1.0%
316420 1
1.0%
309500 1
1.0%
306500 1
1.0%
300000 1
1.0%

이용고객수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T19:56:39.090128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:56:39.252514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

이용건수
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.92
Minimum3
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:56:39.403205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median4
Q36
95-th percentile29
Maximum37
Range34
Interquartile range (IQR)3

Descriptive statistics

Standard deviation7.6219778
Coefficient of variation (CV)1.1014419
Kurtosis7.3510563
Mean6.92
Median Absolute Deviation (MAD)1
Skewness2.8621128
Sum692
Variance58.094545
MonotonicityNot monotonic
2023-12-10T19:56:39.634310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3 33
33.0%
4 21
21.0%
5 14
14.0%
6 8
 
8.0%
7 5
 
5.0%
8 4
 
4.0%
9 3
 
3.0%
10 3
 
3.0%
37 2
 
2.0%
29 2
 
2.0%
Other values (5) 5
 
5.0%
ValueCountFrequency (%)
3 33
33.0%
4 21
21.0%
5 14
14.0%
6 8
 
8.0%
7 5
 
5.0%
8 4
 
4.0%
9 3
 
3.0%
10 3
 
3.0%
17 1
 
1.0%
26 1
 
1.0%
ValueCountFrequency (%)
37 2
2.0%
34 1
 
1.0%
30 1
 
1.0%
29 2
2.0%
28 1
 
1.0%
26 1
 
1.0%
17 1
 
1.0%
10 3
3.0%
9 3
3.0%
8 4
4.0%

Interactions

2023-12-10T19:56:34.222897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:56:33.191325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:56:33.692324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:56:34.412282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:56:33.372428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:56:33.850081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:56:34.576361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:56:33.518768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:56:34.014582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:56:39.804902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사용년월업종명성별연령별금액이용건수
사용년월1.0000.2400.0000.0000.0000.000
업종명0.2401.0000.5160.6640.6080.000
성별0.0000.5161.0000.3320.4840.232
연령별0.0000.6640.3321.0000.6230.000
금액0.0000.6080.4840.6231.0000.541
이용건수0.0000.0000.2320.0000.5411.000
2023-12-10T19:56:39.990418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성별연령별업종명
성별1.0000.2420.380
연령별0.2421.0000.348
업종명0.3800.3481.000
2023-12-10T19:56:40.142658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사용년월금액이용건수업종명성별연령별
사용년월1.000-0.0200.1230.1340.0000.000
금액-0.0201.0000.4040.3060.3570.234
이용건수0.1230.4041.0000.0000.2400.000
업종명0.1340.3060.0001.0000.3800.348
성별0.0000.3570.2400.3801.0000.242
연령별0.0000.2340.0000.3480.2421.000

Missing values

2023-12-10T19:56:34.788007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:56:35.070463image/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

생태관광고유번호생태관광지군생태관광지명사용년월업종명성별연령별금액이용고객수이용건수
01제주 동백동산습지동백동산습지센터1810한식1.남성09.50세미만5600004
11제주 동백동산습지동백동산습지센터1810한식2.여성07.40세미만21800008
21제주 동백동산습지동백동산습지센터1810한식2.여성09.50세미만7250003
31제주 동백동산습지동백동산습지센터1810기타 레저업소2.여성07.40세미만30950007
41제주 동백동산습지동백동산습지센터1810기타 레저업소2.여성08.45세미만18000003
51제주 동백동산습지동백동산습지센터1810기타 레저업소2.여성09.50세미만9900006
61제주 동백동산습지동백동산습지센터1810편의점1.남성07.40세미만51340017
71제주 동백동산습지동백동산습지센터1810편의점1.남성08.45세미만2400003
81제주 동백동산습지동백동산습지센터1810편의점2.여성07.40세미만2240005
91제주 동백동산습지동백동산습지센터1810편의점2.여성09.50세미만5482004
생태관광고유번호생태관광지군생태관광지명사용년월업종명성별연령별금액이용고객수이용건수
901제주 동백동산습지동백동산습지센터1907슈퍼마켓2.여성06.35세미만11482003
911제주 동백동산습지동백동산습지센터1907슈퍼마켓2.여성08.45세미만7759005
921제주 동백동산습지동백동산습지센터1907커피전문점2.여성09.50세미만4230003
931제주 동백동산습지동백동산습지센터1907일반음식점 기타1.남성05.30세미만6850003
941제주 동백동산습지동백동산습지센터1907일반음식점 기타1.남성11.60세미만5700003
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