Overview

Dataset statistics

Number of variables3
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory27.6 B

Variable types

Categorical1
Text1
Numeric1

Dataset

Description경상북도 경주시_동궁원홈페이지 검색키워드 정보입니다.
Author경상북도 경주시
URLhttps://www.data.go.kr/data/15087368/fileData.do

Alerts

검색구분 has constant value ""Constant
키워드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:28:08.004902
Analysis finished2023-12-12 04:28:08.442499
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

검색구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
제목태그
50 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제목태그 50
100.0%

Length

2023-12-12T13:28:08.510727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:28:08.605304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제목태그 50
100.0%

키워드
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T13:28:08.866119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.56
Min length1

Characters and Unicode

Total characters178
Distinct characters99
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row동궁원
2nd row경주
3rd row식물원
4th row경주동궁원
5th row체험
ValueCountFrequency (%)
동궁원 1
 
2.0%
마전자 1
 
2.0%
연간회원권 1
 
2.0%
선인장 1
 
2.0%
봄 1
 
2.0%
몬스테라 1
 
2.0%
붉은색잎 1
 
2.0%
고 1
 
2.0%
고무나무 1
 
2.0%
튤립 1
 
2.0%
Other values (41) 41
80.4%
2023-12-12T13:28:09.375055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
물 7
 
3.9%
스 6
 
3.4%
원 6
 
3.4%
자 5
 
2.8%
주 5
 
2.8%
경 5
 
2.8%
마 5
 
2.8%
꽃 4
 
2.2%
체 4
 
2.2%
보 4
 
2.2%
Other values (89) 127
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
97.2%
Other Punctuation 2
 
1.1%
Decimal Number 2
 
1.1%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 7
 
4.0%
스 6
 
3.5%
원 6
 
3.5%
자 5
 
2.9%
주 5
 
2.9%
경 5
 
2.9%
마 5
 
2.9%
꽃 4
 
2.3%
체 4
 
2.3%
보 4
 
2.3%
Other values (85) 122
70.5%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
5 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
97.2%
Common 5
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 7
 
4.0%
스 6
 
3.5%
원 6
 
3.5%
자 5
 
2.9%
주 5
 
2.9%
경 5
 
2.9%
마 5
 
2.9%
꽃 4
 
2.3%
체 4
 
2.3%
보 4
 
2.3%
Other values (85) 122
70.5%
Common
ValueCountFrequency (%)
. 2
40.0%
1
20.0%
6 1
20.0%
5 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
97.2%
ASCII 5
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
물 7
 
4.0%
스 6
 
3.5%
원 6
 
3.5%
자 5
 
2.9%
주 5
 
2.9%
경 5
 
2.9%
마 5
 
2.9%
꽃 4
 
2.3%
체 4
 
2.3%
보 4
 
2.3%
Other values (85) 122
70.5%
ASCII
ValueCountFrequency (%)
. 2
40.0%
1
20.0%
6 1
20.0%
5 1
20.0%

검색건수
Real number (ℝ)

Distinct26
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.9
Minimum3
Maximum2747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T13:28:09.559520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q14
median5.5
Q384
95-th percentile656.45
Maximum2747
Range2744
Interquartile range (IQR)80

Descriptive statistics

Standard deviation431.69024
Coefficient of variation (CV)3.0209254
Kurtosis28.241568
Mean142.9
Median Absolute Deviation (MAD)1.5
Skewness5.0182606
Sum7145
Variance186356.46
MonotonicityDecreasing
2023-12-12T13:28:10.013678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
4 13
26.0%
5 11
22.0%
6 2
 
4.0%
7 2
 
4.0%
2747 1
 
2.0%
68 1
 
2.0%
3 1
 
2.0%
10 1
 
2.0%
15 1
 
2.0%
16 1
 
2.0%
Other values (16) 16
32.0%
ValueCountFrequency (%)
3 1
 
2.0%
4 13
26.0%
5 11
22.0%
6 2
 
4.0%
7 2
 
4.0%
10 1
 
2.0%
15 1
 
2.0%
16 1
 
2.0%
19 1
 
2.0%
23 1
 
2.0%
ValueCountFrequency (%)
2747 1
2.0%
1186 1
2.0%
674 1
2.0%
635 1
2.0%
395 1
2.0%
216 1
2.0%
208 1
2.0%
140 1
2.0%
138 1
2.0%
124 1
2.0%

Interactions

2023-12-12T13:28:08.147410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:28:10.112066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
키워드검색건수
키워드1.0001.000
검색건수1.0001.000

Missing values

2023-12-12T13:28:08.290132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:28:08.392362image/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

검색구분키워드검색건수
0제목태그동궁원2747
1제목태그경주1186
2제목태그식물원674
3제목태그경주동궁원635
4제목태그체험395
5제목태그벚꽃216
6제목태그경주버드파크208
7제목태그경주여행140
8제목태그경주가볼만한곳138
9제목태그벚꽃명소124
검색구분키워드검색건수
40제목태그가을4
41제목태그마란타4
42제목태그물품보관4
43제목태그보리수4
44제목태그로즈마리4
45제목태그틸란드시아4
46제목태그마전자나무4
47제목태그벤자민4
48제목태그안스리움4
49제목태그마전3