Overview

Dataset statistics

Number of variables4
Number of observations276
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory33.5 B

Variable types

Categorical2
DateTime1
Numeric1

Dataset

Description주요 관광지별 내외국인 입장객 정보에 대한 데이터로관광지명, 일자, 관광객 유형, 관광객 수 등의 항목을 제공합니다.
Author대구광역시 북구
URLhttps://www.data.go.kr/data/15095874/fileData.do

Alerts

관광객수 is highly overall correlated with 관광지명High correlation
관광지명 is highly overall correlated with 관광객수 and 1 other fieldsHigh correlation
관광객유형 is highly overall correlated with 관광지명High correlation
관광객수 has 65 (23.6%) zerosZeros

Reproduction

Analysis started2024-03-14 20:04:26.777694
Analysis finished2024-03-14 20:04:27.613735
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관광지명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
대구교육박물관
120 
대구국제사격장
72 
구암서원
60 
운암지수변공원
24 

Length

Max length7
Median length7
Mean length6.3478261
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구교육박물관 120
43.5%
대구국제사격장 72
26.1%
구암서원 60
21.7%
운암지수변공원 24
 
8.7%

Length

2024-03-15T05:04:27.764612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:04:28.101826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구교육박물관 120
43.5%
대구국제사격장 72
26.1%
구암서원 60
21.7%
운암지수변공원 24
 
8.7%

계수일자
Date

Distinct72
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2018-01-01 00:00:00
Maximum2023-12-01 00:00:00
2024-03-15T05:04:28.408795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:04:28.904302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관광객유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
없음
156 
내국인
60 
외국인
60 

Length

Max length3
Median length2
Mean length2.4347826
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 156
56.5%
내국인 60
 
21.7%
외국인 60
 
21.7%

Length

2024-03-15T05:04:29.150795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:04:29.330800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 156
56.5%
내국인 60
 
21.7%
외국인 60
 
21.7%

관광객수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct210
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7250.3768
Minimum0
Maximum45436
Zeros65
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-15T05:04:29.645619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1290.25
median3513
Q310416.25
95-th percentile32323.75
Maximum45436
Range45436
Interquartile range (IQR)10126

Descriptive statistics

Standard deviation9772.4244
Coefficient of variation (CV)1.3478506
Kurtosis3.5798557
Mean7250.3768
Median Absolute Deviation (MAD)3513
Skewness1.9719946
Sum2001104
Variance95500280
MonotonicityNot monotonic
2024-03-15T05:04:30.081259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65
 
23.6%
5497 2
 
0.7%
3072 2
 
0.7%
1217 1
 
0.4%
5484 1
 
0.4%
6260 1
 
0.4%
4782 1
 
0.4%
6161 1
 
0.4%
4785 1
 
0.4%
5253 1
 
0.4%
Other values (200) 200
72.5%
ValueCountFrequency (%)
0 65
23.6%
115 1
 
0.4%
126 1
 
0.4%
135 1
 
0.4%
225 1
 
0.4%
312 1
 
0.4%
410 1
 
0.4%
420 1
 
0.4%
433 1
 
0.4%
580 1
 
0.4%
ValueCountFrequency (%)
45436 1
0.4%
44162 1
0.4%
44119 1
0.4%
40087 1
0.4%
38727 1
0.4%
38414 1
0.4%
36512 1
0.4%
36464 1
0.4%
36243 1
0.4%
36009 1
0.4%

Interactions

2024-03-15T05:04:26.943895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T05:04:30.334052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관광지명계수일자관광객유형관광객수
관광지명1.0000.0000.6730.866
계수일자0.0001.0000.0000.000
관광객유형0.6730.0001.0000.592
관광객수0.8660.0000.5921.000
2024-03-15T05:04:30.582457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관광지명관광객유형
관광지명1.0000.702
관광객유형0.7021.000
2024-03-15T05:04:30.814084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관광객수관광지명관광객유형
관광객수1.0000.7150.430
관광지명0.7151.0000.702
관광객유형0.4300.7021.000

Missing values

2024-03-15T05:04:27.270042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:04:27.552711image/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

관광지명계수일자관광객유형관광객수
0대구국제사격장2018-01-01없음11005
1대구국제사격장2018-02-01없음10922
2대구국제사격장2018-03-01없음16664
3대구국제사격장2018-04-01없음17763
4대구국제사격장2018-05-01없음25969
5대구국제사격장2018-06-01없음11116
6대구국제사격장2018-07-01없음11365
7대구국제사격장2018-08-01없음15629
8대구국제사격장2018-09-01없음15103
9대구국제사격장2018-10-01없음14445
관광지명계수일자관광객유형관광객수
266운암지수변공원2023-03-01없음36009
267운암지수변공원2023-04-01없음34249
268운암지수변공원2023-05-01없음38414
269운암지수변공원2023-06-01없음36512
270운암지수변공원2023-07-01없음27371
271운암지수변공원2023-08-01없음26081
272운암지수변공원2023-09-01없음32131
273운암지수변공원2023-10-01없음40087
274운암지수변공원2023-11-01없음26041
275운암지수변공원2023-12-01없음21256