Overview

Dataset statistics

Number of variables12
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory98.6 B

Variable types

Unsupported11
Text1

Dataset

Description부산관광공사_관광지별유동인구_20221231
Author부산관광공사
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15123627

Alerts

Unnamed: 1 has unique valuesUnique
Unnamed: 0 is an unsupported type, check if it needs cleaning or further analysisUnsupported
2021년 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
2022년 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
합계 is an unsupported type, check if it needs cleaning or further analysisUnsupported
연간성장률 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 16:22:22.117853
Analysis finished2023-12-10 16:22:23.040403
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size540.0 B

Unnamed: 1
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:22:23.290810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length5.8627451
Min length2

Characters and Unicode

Total characters299
Distinct characters129
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row관광지
2nd row부산 서면
3rd row해운대시장
4th row해운대 해수욕장
5th row센텀시티
ValueCountFrequency (%)
해수욕장 6
 
9.4%
일원 2
 
3.1%
관광지 1
 
1.6%
성지곡수원지 1
 
1.6%
암남공원 1
 
1.6%
스포원파크 1
 
1.6%
흰여울문화마을 1
 
1.6%
부산민주공원 1
 
1.6%
해리단길 1
 
1.6%
국립해양박물관 1
 
1.6%
Other values (48) 48
75.0%
2023-12-11T01:22:23.940148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 15
 
5.0%
원 15
 
5.0%
13
 
4.3%
해 13
 
4.3%
수 13
 
4.3%
공 9
 
3.0%
산 9
 
3.0%
대 8
 
2.7%
_ 7
 
2.3%
욕 7
 
2.3%
Other values (119) 190
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
91.3%
Space Separator 13
 
4.3%
Connector Punctuation 7
 
2.3%
Uppercase Letter 6
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 15
 
5.5%
원 15
 
5.5%
해 13
 
4.8%
수 13
 
4.8%
공 9
 
3.3%
산 9
 
3.3%
대 8
 
2.9%
욕 7
 
2.6%
시 6
 
2.2%
포 5
 
1.8%
Other values (112) 173
63.4%
Uppercase Letter
ValueCountFrequency (%)
F 2
33.3%
N 1
16.7%
U 1
16.7%
I 1
16.7%
B 1
16.7%
Space Separator
ValueCountFrequency (%)
13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 273
91.3%
Common 20
 
6.7%
Latin 6
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 15
 
5.5%
원 15
 
5.5%
해 13
 
4.8%
수 13
 
4.8%
공 9
 
3.3%
산 9
 
3.3%
대 8
 
2.9%
욕 7
 
2.6%
시 6
 
2.2%
포 5
 
1.8%
Other values (112) 173
63.4%
Latin
ValueCountFrequency (%)
F 2
33.3%
N 1
16.7%
U 1
16.7%
I 1
16.7%
B 1
16.7%
Common
ValueCountFrequency (%)
13
65.0%
_ 7
35.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
91.3%
ASCII 26
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 15
 
5.5%
원 15
 
5.5%
해 13
 
4.8%
수 13
 
4.8%
공 9
 
3.3%
산 9
 
3.3%
대 8
 
2.9%
욕 7
 
2.6%
시 6
 
2.2%
포 5
 
1.8%
Other values (112) 173
63.4%
ASCII
ValueCountFrequency (%)
13
50.0%
_ 7
26.9%
F 2
 
7.7%
N 1
 
3.8%
U 1
 
3.8%
I 1
 
3.8%
B 1
 
3.8%

2021년
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size540.0 B

Unnamed: 3
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size540.0 B

Unnamed: 4
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size540.0 B

Unnamed: 5
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size540.0 B

2022년
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size540.0 B

Unnamed: 7
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size540.0 B

Unnamed: 8
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size540.0 B

Unnamed: 9
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size540.0 B

합계
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size540.0 B

연간성장률
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size540.0 B

Missing values

2023-12-11T01:22:22.330150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:22:22.954581image/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

Unnamed: 0Unnamed: 12021년Unnamed: 3Unnamed: 4Unnamed: 52022년Unnamed: 7Unnamed: 8Unnamed: 9합계연간성장률
0순위관광지2021년 5월연휴주2021년 여름휴가2021년 10월연휴주2021년합계2022년 5월연휴주2022년 여름휴가2022년 10월연휴주2022년 합계2021~2022 합계성장률
11부산 서면102181391690121581615452171570770831183666112606717415190.829659
22해운대시장991223184847891049651611611273317313333498261914791350.979028
33해운대 해수욕장871672820677261944185310963359413410415180791812497710.828477
44센텀시티7827419250564372335151952294373371202476528139879640.947818
55광안리 해수욕장401181409434101622207766866335142696124716206936971.123678
66자갈치_국제시장20271930453704115035754931257099687563807865311431.532546
77오시리아20982616662487710752537627138335423152182773258021.030012
88가덕도1937166562215481074811536862347340371117522192330.039737
99기장해변_대변항19824465081275979091193026215816069975291766200.233124
Unnamed: 0Unnamed: 12021년Unnamed: 3Unnamed: 4Unnamed: 52022년Unnamed: 7Unnamed: 8Unnamed: 9합계연간성장률
4141수영사적공원_망미단길560205054231528663148779479379450.520622
4242아미산 전망대376106238818266532435411349953250.91621
4343금정산42414643372225298124656621104335-0.051685
4444용소웰빙공원329124224818194271528427238242010.309511
4545장산253115729317034351553282227039730.332942
4646아홉산숲1814191447441263581166001344-0.193548
4747범어사6814561274110203653786520.379562
4848장림포구341323920535148462294340.117073
4949해동 용궁사1147288680216443404262.953488
5050황령산 봉수대1304310480