Overview

Dataset statistics

Number of variables5
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory44.1 B

Variable types

Text2
Numeric2
Categorical1

Dataset

Description경상북도 칠곡군에서 제공하는 흡연구역에 대한 상호명 및 위치, 위도, 경도에 대한 공공데이터
Author경상북도 칠곡군
URLhttps://www.data.go.kr/data/15033733/fileData.do

Alerts

기준일자 has constant value ""Constant
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:08:54.447988
Analysis finished2023-12-12 20:08:55.297010
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-13T05:08:55.517768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.2698413
Min length1

Characters and Unicode

Total characters395
Distinct characters138
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st row세븐당구클럽
2nd row탑빌리야드
3rd row북삼당구클럽
4th row북삼당구장
5th row놀러와 당구장
ValueCountFrequency (%)
pc 7
 
7.3%
당구장 6
 
6.2%
당구클럽 5
 
5.2%
pc방 4
 
4.2%
cafe 2
 
2.1%
올레 2
 
2.1%
킹 2
 
2.1%
세븐당구클럽 1
 
1.0%
시즌아이 1
 
1.0%
아이비스pc방 1
 
1.0%
Other values (65) 65
67.7%
2023-12-13T05:08:55.939032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
8.4%
구 31
 
7.8%
당 28
 
7.1%
c 20
 
5.1%
p 19
 
4.8%
장 18
 
4.6%
이 14
 
3.5%
방 14
 
3.5%
클 9
 
2.3%
C 8
 
2.0%
Other values (128) 201
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 284
71.9%
Lowercase Letter 46
 
11.6%
Space Separator 33
 
8.4%
Uppercase Letter 23
 
5.8%
Decimal Number 5
 
1.3%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 31
 
10.9%
당 28
 
9.9%
장 18
 
6.3%
이 14
 
4.9%
방 14
 
4.9%
클 9
 
3.2%
럽 8
 
2.8%
스 8
 
2.8%
리 5
 
1.8%
아 5
 
1.8%
Other values (103) 144
50.7%
Uppercase Letter
ValueCountFrequency (%)
C 8
34.8%
P 7
30.4%
N 1
 
4.3%
O 1
 
4.3%
I 1
 
4.3%
L 1
 
4.3%
Q 1
 
4.3%
E 1
 
4.3%
F 1
 
4.3%
A 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
c 20
43.5%
p 19
41.3%
e 2
 
4.3%
n 1
 
2.2%
o 1
 
2.2%
z 1
 
2.2%
f 1
 
2.2%
a 1
 
2.2%
Decimal Number
ValueCountFrequency (%)
4 2
40.0%
3 1
20.0%
2 1
20.0%
7 1
20.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 284
71.9%
Latin 69
 
17.5%
Common 42
 
10.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 31
 
10.9%
당 28
 
9.9%
장 18
 
6.3%
이 14
 
4.9%
방 14
 
4.9%
클 9
 
3.2%
럽 8
 
2.8%
스 8
 
2.8%
리 5
 
1.8%
아 5
 
1.8%
Other values (103) 144
50.7%
Latin
ValueCountFrequency (%)
c 20
29.0%
p 19
27.5%
C 8
 
11.6%
P 7
 
10.1%
e 2
 
2.9%
n 1
 
1.4%
o 1
 
1.4%
z 1
 
1.4%
N 1
 
1.4%
O 1
 
1.4%
Other values (8) 8
 
11.6%
Common
ValueCountFrequency (%)
33
78.6%
( 2
 
4.8%
) 2
 
4.8%
4 2
 
4.8%
3 1
 
2.4%
2 1
 
2.4%
7 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 284
71.9%
ASCII 111
 
28.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33
29.7%
c 20
18.0%
p 19
17.1%
C 8
 
7.2%
P 7
 
6.3%
( 2
 
1.8%
e 2
 
1.8%
) 2
 
1.8%
4 2
 
1.8%
n 1
 
0.9%
Other values (15) 15
13.5%
Hangul
ValueCountFrequency (%)
구 31
 
10.9%
당 28
 
9.9%
장 18
 
6.3%
이 14
 
4.9%
방 14
 
4.9%
클 9
 
3.2%
럽 8
 
2.8%
스 8
 
2.8%
리 5
 
1.8%
아 5
 
1.8%
Other values (103) 144
50.7%

시설주소(도로명)
Text

Distinct62
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-13T05:08:56.213922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length23.349206
Min length18

Characters and Unicode

Total characters1471
Distinct characters81
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)96.8%

Sample

1st row경상북도 칠곡군 북삼읍 금오대로 268 (북삼농협 금오지점)
2nd row경상북도 칠곡군 북삼읍 금오대로1길 1
3rd row경상북도 칠곡군 북삼읍 금오대로1길 2
4th row경상북도 칠곡군 북삼읍 금오대로1길 2, 3층
5th row경상북도 칠곡군 북삼읍 금오대로2길 62
ValueCountFrequency (%)
경상북도 63
18.2%
칠곡군 63
18.2%
왜관읍 25
 
7.2%
석적읍 23
 
6.6%
북삼읍 14
 
4.0%
2층 13
 
3.8%
중앙로 10
 
2.9%
유학로 6
 
1.7%
북중리3길 4
 
1.2%
북중리4길 4
 
1.2%
Other values (93) 121
35.0%
2023-12-13T05:08:56.652945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284
19.3%
북 89
 
6.1%
군 65
 
4.4%
도 64
 
4.4%
경 63
 
4.3%
곡 63
 
4.3%
상 63
 
4.3%
칠 63
 
4.3%
읍 62
 
4.2%
1 47
 
3.2%
Other values (71) 608
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 916
62.3%
Space Separator 284
 
19.3%
Decimal Number 218
 
14.8%
Other Punctuation 18
 
1.2%
Dash Punctuation 15
 
1.0%
Open Punctuation 10
 
0.7%
Close Punctuation 10
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 89
 
9.7%
군 65
 
7.1%
도 64
 
7.0%
경 63
 
6.9%
곡 63
 
6.9%
상 63
 
6.9%
칠 63
 
6.9%
읍 62
 
6.8%
로 39
 
4.3%
길 38
 
4.1%
Other values (56) 307
33.5%
Decimal Number
ValueCountFrequency (%)
1 47
21.6%
2 46
21.1%
4 28
12.8%
3 25
11.5%
6 20
9.2%
8 13
 
6.0%
7 12
 
5.5%
9 9
 
4.1%
0 9
 
4.1%
5 9
 
4.1%
Space Separator
ValueCountFrequency (%)
284
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 916
62.3%
Common 555
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 89
 
9.7%
군 65
 
7.1%
도 64
 
7.0%
경 63
 
6.9%
곡 63
 
6.9%
상 63
 
6.9%
칠 63
 
6.9%
읍 62
 
6.8%
로 39
 
4.3%
길 38
 
4.1%
Other values (56) 307
33.5%
Common
ValueCountFrequency (%)
284
51.2%
1 47
 
8.5%
2 46
 
8.3%
4 28
 
5.0%
3 25
 
4.5%
6 20
 
3.6%
, 18
 
3.2%
- 15
 
2.7%
8 13
 
2.3%
7 12
 
2.2%
Other values (5) 47
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 916
62.3%
ASCII 555
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284
51.2%
1 47
 
8.5%
2 46
 
8.3%
4 28
 
5.0%
3 25
 
4.5%
6 20
 
3.6%
, 18
 
3.2%
- 15
 
2.7%
8 13
 
2.3%
7 12
 
2.2%
Other values (5) 47
 
8.5%
Hangul
ValueCountFrequency (%)
북 89
 
9.7%
군 65
 
7.1%
도 64
 
7.0%
경 63
 
6.9%
곡 63
 
6.9%
상 63
 
6.9%
칠 63
 
6.9%
읍 62
 
6.8%
로 39
 
4.3%
길 38
 
4.1%
Other values (56) 307
33.5%

위도
Real number (ℝ)

Distinct59
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.039965
Minimum35.967033
Maximum36.080995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T05:08:56.808443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.967033
5-th percentile35.982435
Q135.993313
median36.069903
Q336.077241
95-th percentile36.079128
Maximum36.080995
Range0.113962
Interquartile range (IQR)0.083928

Descriptive statistics

Standard deviation0.042799171
Coefficient of variation (CV)0.0011875475
Kurtosis-1.7241123
Mean36.039965
Median Absolute Deviation (MAD)0.008756
Skewness-0.44419041
Sum2270.5178
Variance0.001831769
MonotonicityNot monotonic
2023-12-13T05:08:56.948157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.078659 3
 
4.8%
36.071091 2
 
3.2%
35.986359 2
 
3.2%
36.070096 1
 
1.6%
36.068557 1
 
1.6%
36.078352 1
 
1.6%
36.077181 1
 
1.6%
36.07803 1
 
1.6%
36.0765 1
 
1.6%
36.078434 1
 
1.6%
Other values (49) 49
77.8%
ValueCountFrequency (%)
35.967033 1
1.6%
35.967847 1
1.6%
35.976145 1
1.6%
35.982389 1
1.6%
35.982849 1
1.6%
35.983385 1
1.6%
35.983774 1
1.6%
35.984027 1
1.6%
35.984379 1
1.6%
35.98453 1
1.6%
ValueCountFrequency (%)
36.080995 1
 
1.6%
36.079596 1
 
1.6%
36.079225 1
 
1.6%
36.079155 1
 
1.6%
36.078883 1
 
1.6%
36.078659 3
4.8%
36.078434 1
 
1.6%
36.078418 1
 
1.6%
36.07838 1
 
1.6%
36.078352 1
 
1.6%

경도
Real number (ℝ)

Distinct60
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.39215
Minimum128.33452
Maximum128.41835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T05:08:57.078759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.33452
5-th percentile128.34616
Q1128.39656
median128.4004
Q3128.41147
95-th percentile128.41454
Maximum128.41835
Range0.083836
Interquartile range (IQR)0.0149115

Descriptive statistics

Standard deviation0.025848617
Coefficient of variation (CV)0.00020132552
Kurtosis-0.39334383
Mean128.39215
Median Absolute Deviation (MAD)0.011011
Skewness-1.1216942
Sum8088.7057
Variance0.00066815102
MonotonicityNot monotonic
2023-12-13T05:08:57.218077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.41154 3
 
4.8%
128.347252 2
 
3.2%
128.347145 1
 
1.6%
128.350632 1
 
1.6%
128.411174 1
 
1.6%
128.411838 1
 
1.6%
128.403205 1
 
1.6%
128.402583 1
 
1.6%
128.412984 1
 
1.6%
128.413341 1
 
1.6%
Other values (50) 50
79.4%
ValueCountFrequency (%)
128.334516 1
1.6%
128.339083 1
1.6%
128.345964 1
1.6%
128.346142 1
1.6%
128.346293 1
1.6%
128.347013 1
1.6%
128.347145 1
1.6%
128.347252 2
3.2%
128.34755 1
1.6%
128.349898 1
1.6%
ValueCountFrequency (%)
128.418352 1
1.6%
128.417668 1
1.6%
128.416517 1
1.6%
128.414656 1
1.6%
128.413513 1
1.6%
128.413341 1
1.6%
128.413109 1
1.6%
128.413107 1
1.6%
128.413048 1
1.6%
128.412984 1
1.6%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
2018-03-28
63 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-03-28
2nd row2018-03-28
3rd row2018-03-28
4th row2018-03-28
5th row2018-03-28

Common Values

ValueCountFrequency (%)
2018-03-28 63
100.0%

Length

2023-12-13T05:08:57.617892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:08:57.705366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-03-28 63
100.0%

Interactions

2023-12-13T05:08:54.911820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:54.701466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:55.015225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:08:54.803409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:08:57.776932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호시설주소(도로명)위도경도
상호1.0001.0001.0001.000
시설주소(도로명)1.0001.0001.0001.000
위도1.0001.0001.0000.935
경도1.0001.0000.9351.000
2023-12-13T05:08:57.888314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.382
경도0.3821.000

Missing values

2023-12-13T05:08:55.151764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:08:55.255491image/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

상호시설주소(도로명)위도경도기준일자
0세븐당구클럽경상북도 칠곡군 북삼읍 금오대로 268 (북삼농협 금오지점)36.070096128.3471452018-03-28
1탑빌리야드경상북도 칠곡군 북삼읍 금오대로1길 136.071426128.3461422018-03-28
2북삼당구클럽경상북도 칠곡군 북삼읍 금오대로1길 236.071091128.3472522018-03-28
3북삼당구장경상북도 칠곡군 북삼읍 금오대로1길 2, 3층36.071091128.3472522018-03-28
4놀러와 당구장경상북도 칠곡군 북삼읍 금오대로2길 6236.069155128.3520142018-03-28
5신일당구장경상북도 칠곡군 북삼읍 금오대로6길 736.069903128.347552018-03-28
6스타당구장경상북도 칠곡군 왜관읍 2번도로길 90-135.996768128.397442018-03-28
7쿨 당구장경상북도 칠곡군 왜관읍 군청4길 635.998048128.4015612018-03-28
87 당구장경상북도 칠곡군 왜관읍 달오1길 1335.976145128.4039282018-03-28
9쿨당구장경상북도 칠곡군 왜관읍 석전로 3935.998852128.4024522018-03-28
상호시설주소(도로명)위도경도기준일자
53이게pc방경상북도 칠곡군 북삼읍 인강5길 4336.070188128.3390832018-03-28
54쨈나pc방경상북도 칠곡군 왜관읍 석전로 36-135.998596128.4027192018-03-28
55오케이 pc방경상북도 칠곡군 왜관읍 전원3길 1535.984379128.4003972018-03-28
56뻔뻔한 pc경상북도 칠곡군 왜관읍 중앙로 147, 2층35.989308128.3989972018-03-28
57인터뱅크경상북도 칠곡군 왜관읍 중앙로 24635.998017128.3991932018-03-28
58제로pc방 왜관점경상북도 칠곡군 왜관읍 중앙로 73, 2층35.986359128.3973932018-03-28
59LION PC경상북도 칠곡군 왜관읍 중앙로 84 (2층(입구쪽))35.986359128.3982972018-03-28
60잘란(왜관점)경상북도 칠곡군 왜관읍 중앙로2길 29 (236-26(1층))35.993661128.3986942018-03-28
61더 피씨 엔 카페경상북도 칠곡군 왜관읍 중앙로2길 48-135.991729128.3985122018-03-28
62칠곡군청경상북도 칠곡군 왜관읍 군청1길 8035.995517128.4017582018-03-28