Overview

Dataset statistics

Number of variables6
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory53.5 B

Variable types

Numeric3
Text2
Categorical1

Dataset

Description강원특별자치도 속초시 버스정류장 현황입니다. 버스정류장 ID, 버스정류장명, 위도, 경도, 도로명주소 내용이 포함되어 있습니다.
URLhttps://www.data.go.kr/data/15118217/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
정류소ID has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:13:16.007922
Analysis finished2023-12-12 22:13:17.130343
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

정류소ID
Real number (ℝ)

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4311032.8
Minimum4310070
Maximum4312130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T07:13:17.197189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4310070
5-th percentile4310412
Q14310640
median4310980
Q34311430
95-th percentile4311724
Maximum4312130
Range2060
Interquartile range (IQR)790

Descriptive statistics

Standard deviation471.57012
Coefficient of variation (CV)0.00010938681
Kurtosis-0.77139683
Mean4311032.8
Median Absolute Deviation (MAD)370
Skewness0.30074925
Sum2.2848474 × 108
Variance222378.37
MonotonicityStrictly increasing
2023-12-13T07:13:17.331346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4310070 1
 
1.9%
4311440 1
 
1.9%
4311010 1
 
1.9%
4311020 1
 
1.9%
4311030 1
 
1.9%
4311100 1
 
1.9%
4311110 1
 
1.9%
4311120 1
 
1.9%
4311150 1
 
1.9%
4311290 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
4310070 1
1.9%
4310350 1
1.9%
4310370 1
1.9%
4310440 1
1.9%
4310460 1
1.9%
4310470 1
1.9%
4310500 1
1.9%
4310580 1
1.9%
4310590 1
1.9%
4310600 1
1.9%
ValueCountFrequency (%)
4312130 1
1.9%
4311820 1
1.9%
4311730 1
1.9%
4311720 1
1.9%
4311710 1
1.9%
4311700 1
1.9%
4311660 1
1.9%
4311640 1
1.9%
4311630 1
1.9%
4311620 1
1.9%

정류소명
Text

Distinct42
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-13T07:13:17.548462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.2264151
Min length2

Characters and Unicode

Total characters277
Distinct characters100
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)58.5%

Sample

1st row설악고등학교
2nd row도로공사연수원
3rd row경동대후문
4th row삼환아파트입구
5th row삼환아파트입구
ValueCountFrequency (%)
부영아파트입구 2
 
3.8%
고속버스터미널 2
 
3.8%
속초중학교 2
 
3.8%
삼환아파트입구 2
 
3.8%
주공3차아파트 2
 
3.8%
청학사거리 2
 
3.8%
속초농협 2
 
3.8%
설악중학교 2
 
3.8%
수복탑 2
 
3.8%
속초의료원 2
 
3.8%
Other values (32) 33
62.3%
2023-12-13T07:13:17.986473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 13
 
4.7%
트 13
 
4.7%
파 12
 
4.3%
속 11
 
4.0%
초 11
 
4.0%
구 10
 
3.6%
학 8
 
2.9%
입 7
 
2.5%
교 7
 
2.5%
대 6
 
2.2%
Other values (90) 179
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 266
96.0%
Decimal Number 9
 
3.2%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 13
 
4.9%
트 13
 
4.9%
파 12
 
4.5%
속 11
 
4.1%
초 11
 
4.1%
구 10
 
3.8%
학 8
 
3.0%
입 7
 
2.6%
교 7
 
2.6%
대 6
 
2.3%
Other values (84) 168
63.2%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
3 2
22.2%
9 2
22.2%
4 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 266
96.0%
Common 9
 
3.2%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 13
 
4.9%
트 13
 
4.9%
파 12
 
4.5%
속 11
 
4.1%
초 11
 
4.1%
구 10
 
3.8%
학 8
 
3.0%
입 7
 
2.6%
교 7
 
2.6%
대 6
 
2.3%
Other values (84) 168
63.2%
Common
ValueCountFrequency (%)
1 4
44.4%
3 2
22.2%
9 2
22.2%
4 1
 
11.1%
Latin
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 266
96.0%
ASCII 11
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 13
 
4.9%
트 13
 
4.9%
파 12
 
4.5%
속 11
 
4.1%
초 11
 
4.1%
구 10
 
3.8%
학 8
 
3.0%
입 7
 
2.6%
교 7
 
2.6%
대 6
 
2.3%
Other values (84) 168
63.2%
ASCII
ValueCountFrequency (%)
1 4
36.4%
3 2
18.2%
9 2
18.2%
K 1
 
9.1%
T 1
 
9.1%
4 1
 
9.1%

도로명주소
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-13T07:13:18.278976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length9.8679245
Min length7

Characters and Unicode

Total characters523
Distinct characters37
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

Unique53 ?
Unique (%)100.0%

Sample

1st row청대로 222-1
2nd row온천로 58-1
3rd row온천로 138-1
4th row동해대로 4348-1
5th row동해대로 4343-1
ValueCountFrequency (%)
동해대로 19
 
17.9%
중앙로 13
 
12.3%
미시령로 8
 
7.5%
번영로 3
 
2.8%
조양로 2
 
1.9%
온천로 2
 
1.9%
장안로 2
 
1.9%
3779-1 1
 
0.9%
청봉로 1
 
0.9%
1026-1 1
 
0.9%
Other values (54) 54
50.9%
2023-12-13T07:13:18.686761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 73
14.0%
53
 
10.1%
- 53
 
10.1%
로 52
 
9.9%
3 31
 
5.9%
2 30
 
5.7%
4 26
 
5.0%
대 21
 
4.0%
동 19
 
3.6%
해 19
 
3.6%
Other values (27) 146
27.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 229
43.8%
Other Letter 188
35.9%
Space Separator 53
 
10.1%
Dash Punctuation 53
 
10.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 52
27.7%
대 21
11.2%
동 19
 
10.1%
해 19
 
10.1%
앙 13
 
6.9%
중 13
 
6.9%
미 8
 
4.3%
시 8
 
4.3%
령 8
 
4.3%
영 3
 
1.6%
Other values (15) 24
12.8%
Decimal Number
ValueCountFrequency (%)
1 73
31.9%
3 31
13.5%
2 30
13.1%
4 26
 
11.4%
0 16
 
7.0%
6 15
 
6.6%
7 14
 
6.1%
9 11
 
4.8%
5 7
 
3.1%
8 6
 
2.6%
Space Separator
ValueCountFrequency (%)
53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 335
64.1%
Hangul 188
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 52
27.7%
대 21
11.2%
동 19
 
10.1%
해 19
 
10.1%
앙 13
 
6.9%
중 13
 
6.9%
미 8
 
4.3%
시 8
 
4.3%
령 8
 
4.3%
영 3
 
1.6%
Other values (15) 24
12.8%
Common
ValueCountFrequency (%)
1 73
21.8%
53
15.8%
- 53
15.8%
3 31
9.3%
2 30
9.0%
4 26
 
7.8%
0 16
 
4.8%
6 15
 
4.5%
7 14
 
4.2%
9 11
 
3.3%
Other values (2) 13
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 335
64.1%
Hangul 188
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 73
21.8%
53
15.8%
- 53
15.8%
3 31
9.3%
2 30
9.0%
4 26
 
7.8%
0 16
 
4.8%
6 15
 
4.5%
7 14
 
4.2%
9 11
 
3.3%
Other values (2) 13
 
3.9%
Hangul
ValueCountFrequency (%)
로 52
27.7%
대 21
11.2%
동 19
 
10.1%
해 19
 
10.1%
앙 13
 
6.9%
중 13
 
6.9%
미 8
 
4.3%
시 8
 
4.3%
령 8
 
4.3%
영 3
 
1.6%
Other values (15) 24
12.8%

위도
Real number (ℝ)

Distinct48
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.199266
Minimum38.167125
Maximum38.223757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T07:13:18.844776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.167125
5-th percentile38.17451
Q138.190017
median38.199281
Q338.207942
95-th percentile38.217012
Maximum38.223757
Range0.0566316
Interquartile range (IQR)0.01792427

Descriptive statistics

Standard deviation0.012205997
Coefficient of variation (CV)0.00031953486
Kurtosis0.12964109
Mean38.199266
Median Absolute Deviation (MAD)0.00926331
Skewness-0.48505152
Sum2024.5611
Variance0.00014898637
MonotonicityNot monotonic
2023-12-13T07:13:18.998021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
38.1969345 3
 
5.7%
38.2171314 2
 
3.8%
38.18835882 2
 
3.8%
38.21496889 2
 
3.8%
38.18991048 1
 
1.9%
38.209639 1
 
1.9%
38.211565 1
 
1.9%
38.211143 1
 
1.9%
38.19001732 1
 
1.9%
38.17276685 1
 
1.9%
Other values (38) 38
71.7%
ValueCountFrequency (%)
38.167125 1
1.9%
38.17276685 1
1.9%
38.1743804 1
1.9%
38.17459713 1
1.9%
38.18482139 1
1.9%
38.18639669 1
1.9%
38.18835882 2
3.8%
38.18954422 1
1.9%
38.18965242 1
1.9%
38.18965613 1
1.9%
ValueCountFrequency (%)
38.2237566 1
1.9%
38.2171314 2
3.8%
38.216933 1
1.9%
38.21496889 2
3.8%
38.21332646 1
1.9%
38.211565 1
1.9%
38.211143 1
1.9%
38.21005319 1
1.9%
38.209639 1
1.9%
38.20955445 1
1.9%

경도
Real number (ℝ)

Distinct48
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.5801
Minimum128.49124
Maximum128.60528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-13T07:13:19.156166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.49124
5-th percentile128.55543
Q1128.57634
median128.57963
Q3128.59053
95-th percentile128.60011
Maximum128.60528
Range0.1140425
Interquartile range (IQR)0.0141864

Descriptive statistics

Standard deviation0.018024453
Coefficient of variation (CV)0.00014018074
Kurtosis11.327368
Mean128.5801
Median Absolute Deviation (MAD)0.0082728
Skewness-2.6957089
Sum6814.7453
Variance0.00032488091
MonotonicityNot monotonic
2023-12-13T07:13:19.300381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
128.5775186 3
 
5.7%
128.593198 2
 
3.8%
128.5787936 2
 
3.8%
128.5898464 2
 
3.8%
128.5994165 1
 
1.9%
128.593203 1
 
1.9%
128.590525 1
 
1.9%
128.59147 1
 
1.9%
128.5973532 1
 
1.9%
128.6048394 1
 
1.9%
Other values (38) 38
71.7%
ValueCountFrequency (%)
128.4912418 1
1.9%
128.530734 1
1.9%
128.5492197 1
1.9%
128.5595766 1
1.9%
128.567981 1
1.9%
128.5681725 1
1.9%
128.5692732 1
1.9%
128.5713552 1
1.9%
128.5716529 1
1.9%
128.571881 1
1.9%
ValueCountFrequency (%)
128.6052843 1
1.9%
128.6048394 1
1.9%
128.6011501 1
1.9%
128.5994165 1
1.9%
128.5973532 1
1.9%
128.5962156 1
1.9%
128.593203 1
1.9%
128.593198 2
3.8%
128.5930198 1
1.9%
128.592746 1
1.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-08-09
53 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-09
2nd row2023-08-09
3rd row2023-08-09
4th row2023-08-09
5th row2023-08-09

Common Values

ValueCountFrequency (%)
2023-08-09 53
100.0%

Length

2023-12-13T07:13:19.425712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:13:19.546124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-09 53
100.0%

Interactions

2023-12-13T07:13:16.721179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:16.206296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:16.465630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:16.807221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:16.292415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:16.557721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:16.887815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:16.379200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:13:16.642691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:13:19.612218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정류소ID정류소명도로명주소위도경도
정류소ID1.0000.9711.0000.7500.764
정류소명0.9711.0001.0000.9971.000
도로명주소1.0001.0001.0001.0001.000
위도0.7500.9971.0001.0000.678
경도0.7641.0001.0000.6781.000
2023-12-13T07:13:19.723644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정류소ID위도경도
정류소ID1.000-0.1170.452
위도-0.1171.0000.246
경도0.4520.2461.000

Missing values

2023-12-13T07:13:16.999243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:13:17.095385image/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

정류소ID정류소명도로명주소위도경도데이터기준일자
04310070설악고등학교청대로 222-138.186397128.5763392023-08-09
14310350도로공사연수원온천로 58-138.189544128.549222023-08-09
24310370경동대후문온천로 138-138.191207128.5595772023-08-09
34310440삼환아파트입구동해대로 4348-138.203186128.5679812023-08-09
44310460삼환아파트입구동해대로 4343-138.202588128.5681732023-08-09
54310470주공3차아파트동해대로 4253-138.196934128.5775192023-08-09
64310500주공4차아파트조양로 72-138.188359128.5787942023-08-09
74310580농업기술센터동해대로 4241-138.196934128.5775192023-08-09
84310590아남프라자동해대로 4240-138.196934128.5775192023-08-09
94310600주공3차아파트동해대로 4262-138.197952128.57432023-08-09
정류소ID정류소명도로명주소위도경도데이터기준일자
434311620속초여고입구동해대로 4303-138.199281128.5713552023-08-09
444311630킹마트동해대로 4306-138.199201128.5716532023-08-09
454311640KT중앙로 107-138.202345128.5874452023-08-09
464311660우체국중앙로 176-138.20623128.5927462023-08-09
474311700119구조대동해대로 4227-138.19491128.5774122023-08-09
484311710부영아파트입구동해대로 4176-138.191035128.5796282023-08-09
494311720청초지구대동해대로 4102-138.189656128.5858252023-08-09
504311730속초신협동해대로 4068-138.189652128.5894992023-08-09
514311820청봉초등학교조양로 122-138.188359128.5787942023-08-09
524312130양우아파트중앙로 315-138.217131128.5931982023-08-09