Overview

Dataset statistics

Number of variables5
Number of observations4912
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory201.6 KiB
Average record size in memory42.0 B

Variable types

Categorical2
Text1
Numeric2

Dataset

Description위치정보(위도,경도)를 포함한 TBN광주교통방송의 방송구역 내 고속도로 IC, 국도 교차로 등 도로상에서의 수신상태 측정 데이터 제공
Author도로교통공단
URLhttps://www.data.go.kr/data/15048105/fileData.do

Reproduction

Analysis started2024-04-17 14:16:46.462537
Analysis finished2024-04-17 14:16:58.266802
Duration11.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주파수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
97.3MHz
2456 
103.5MHz
2456 

Length

Max length8
Median length7.5
Mean length7.5
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row97.3MHz
2nd row97.3MHz
3rd row97.3MHz
4th row97.3MHz
5th row97.3MHz

Common Values

ValueCountFrequency (%)
97.3MHz 2456
50.0%
103.5MHz 2456
50.0%

Length

2024-04-17T23:16:58.418072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:16:58.622378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
97.3mhz 2456
50.0%
103.5mhz 2456
50.0%
Distinct1973
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
2024-04-17T23:16:58.965963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length5.9393322
Min length2

Characters and Unicode

Total characters29174
Distinct characters473
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건강관리협회앞교차로
2nd row교직원공제회앞교차로
3rd row풍암지구IC
4th row풍암지구입구교차로
5th row카페네스카페광주상무점
ValueCountFrequency (%)
군내리1276 18
 
0.4%
교량 16
 
0.3%
유덕ic 14
 
0.3%
용당리2181-1 12
 
0.2%
신천교차로 12
 
0.2%
터널 12
 
0.2%
우석교차로 10
 
0.2%
원동교차로 10
 
0.2%
화동2교차로 10
 
0.2%
산월ic 10
 
0.2%
Other values (1969) 4800
97.5%
2024-04-17T23:16:59.655101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2010
 
6.9%
1238
 
4.2%
1 1222
 
4.2%
- 866
 
3.0%
838
 
2.9%
792
 
2.7%
2 762
 
2.6%
732
 
2.5%
582
 
2.0%
3 526
 
1.8%
Other values (463) 19606
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22406
76.8%
Decimal Number 4944
 
16.9%
Dash Punctuation 866
 
3.0%
Uppercase Letter 848
 
2.9%
Close Punctuation 46
 
0.2%
Open Punctuation 46
 
0.2%
Space Separator 12
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2010
 
9.0%
1238
 
5.5%
838
 
3.7%
792
 
3.5%
732
 
3.3%
582
 
2.6%
512
 
2.3%
474
 
2.1%
470
 
2.1%
320
 
1.4%
Other values (425) 14438
64.4%
Uppercase Letter
ValueCountFrequency (%)
C 332
39.2%
I 288
34.0%
S 46
 
5.4%
J 46
 
5.4%
G 30
 
3.5%
B 28
 
3.3%
T 16
 
1.9%
K 12
 
1.4%
H 8
 
0.9%
L 8
 
0.9%
Other values (11) 34
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 1222
24.7%
2 762
15.4%
3 526
10.6%
4 394
 
8.0%
7 392
 
7.9%
5 366
 
7.4%
8 356
 
7.2%
6 346
 
7.0%
0 290
 
5.9%
9 290
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
l 2
50.0%
i 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 866
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22406
76.8%
Common 5916
 
20.3%
Latin 852
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2010
 
9.0%
1238
 
5.5%
838
 
3.7%
792
 
3.5%
732
 
3.3%
582
 
2.6%
512
 
2.3%
474
 
2.1%
470
 
2.1%
320
 
1.4%
Other values (425) 14438
64.4%
Latin
ValueCountFrequency (%)
C 332
39.0%
I 288
33.8%
S 46
 
5.4%
J 46
 
5.4%
G 30
 
3.5%
B 28
 
3.3%
T 16
 
1.9%
K 12
 
1.4%
H 8
 
0.9%
L 8
 
0.9%
Other values (13) 38
 
4.5%
Common
ValueCountFrequency (%)
1 1222
20.7%
- 866
14.6%
2 762
12.9%
3 526
8.9%
4 394
 
6.7%
7 392
 
6.6%
5 366
 
6.2%
8 356
 
6.0%
6 346
 
5.8%
0 290
 
4.9%
Other values (5) 396
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22406
76.8%
ASCII 6768
 
23.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2010
 
9.0%
1238
 
5.5%
838
 
3.7%
792
 
3.5%
732
 
3.3%
582
 
2.6%
512
 
2.3%
474
 
2.1%
470
 
2.1%
320
 
1.4%
Other values (425) 14438
64.4%
ASCII
ValueCountFrequency (%)
1 1222
18.1%
- 866
12.8%
2 762
11.3%
3 526
7.8%
4 394
 
5.8%
7 392
 
5.8%
5 366
 
5.4%
8 356
 
5.3%
6 346
 
5.1%
C 332
 
4.9%
Other values (28) 1206
17.8%

경도
Real number (ℝ)

Distinct2453
Distinct (%)49.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99418
Minimum126.11173
Maximum127.77454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.3 KiB
2024-04-17T23:16:59.908395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.11173
5-th percentile126.37766
Q1126.7757
median126.91289
Q3127.27549
95-th percentile127.65675
Maximum127.77454
Range1.6628073
Interquartile range (IQR)0.49979797

Descriptive statistics

Standard deviation0.38032089
Coefficient of variation (CV)0.00299479
Kurtosis-0.55248239
Mean126.99418
Median Absolute Deviation (MAD)0.18472595
Skewness0.26366142
Sum623795.39
Variance0.14464398
MonotonicityNot monotonic
2024-04-17T23:17:00.221569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8483738 4
 
0.1%
126.9857206 4
 
0.1%
126.7482216 4
 
0.1%
126.8877294 2
 
< 0.1%
126.4953869 2
 
< 0.1%
126.32824 2
 
< 0.1%
126.5133948 2
 
< 0.1%
126.3681418 2
 
< 0.1%
126.3941588 2
 
< 0.1%
126.3918661 2
 
< 0.1%
Other values (2443) 4886
99.5%
ValueCountFrequency (%)
126.1117337 2
< 0.1%
126.1138565 2
< 0.1%
126.1142305 2
< 0.1%
126.1164471 2
< 0.1%
126.1167303 2
< 0.1%
126.1171407 2
< 0.1%
126.1171422 2
< 0.1%
126.1183 2
< 0.1%
126.1202808 2
< 0.1%
126.1211246 2
< 0.1%
ValueCountFrequency (%)
127.774541 2
< 0.1%
127.7715287 2
< 0.1%
127.7712662 2
< 0.1%
127.7680381 2
< 0.1%
127.7677915 2
< 0.1%
127.7674292 2
< 0.1%
127.7673095 2
< 0.1%
127.7669259 2
< 0.1%
127.7662661 2
< 0.1%
127.7654657 2
< 0.1%

위도
Real number (ℝ)

Distinct2456
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.976138
Minimum34.314837
Maximum35.503598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.3 KiB
2024-04-17T23:17:00.520464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.314837
5-th percentile34.562496
Q134.80167
median34.986808
Q335.170946
95-th percentile35.32607
Maximum35.503598
Range1.1887601
Interquartile range (IQR)0.36927572

Descriptive statistics

Standard deviation0.24402212
Coefficient of variation (CV)0.0069768173
Kurtosis-0.24655566
Mean34.976138
Median Absolute Deviation (MAD)0.18452721
Skewness-0.39071302
Sum171802.79
Variance0.059546797
MonotonicityNot monotonic
2024-04-17T23:17:00.820165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.14923771 2
 
< 0.1%
35.26768034 2
 
< 0.1%
35.21844647 2
 
< 0.1%
35.22640846 2
 
< 0.1%
35.25654143 2
 
< 0.1%
35.26953077 2
 
< 0.1%
35.2830074 2
 
< 0.1%
35.28246053 2
 
< 0.1%
35.26262531 2
 
< 0.1%
35.27526783 2
 
< 0.1%
Other values (2446) 4892
99.6%
ValueCountFrequency (%)
34.31483743 2
< 0.1%
34.31489621 2
< 0.1%
34.31589925 2
< 0.1%
34.31615246 2
< 0.1%
34.31619362 2
< 0.1%
34.31636448 2
< 0.1%
34.3166309 2
< 0.1%
34.31716137 2
< 0.1%
34.31722256 2
< 0.1%
34.31744759 2
< 0.1%
ValueCountFrequency (%)
35.50359757 2
< 0.1%
35.50303227 2
< 0.1%
35.50058665 2
< 0.1%
35.49950281 2
< 0.1%
35.49945856 2
< 0.1%
35.49895143 2
< 0.1%
35.498435 2
< 0.1%
35.49712337 2
< 0.1%
35.49649077 2
< 0.1%
35.49564352 2
< 0.1%

수신상태
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.5 KiB
불량
3294 
양호
1510 
잡음
 
108

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불량 3294
67.1%
양호 1510
30.7%
잡음 108
 
2.2%

Length

2024-04-17T23:17:01.107675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:17:01.295821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불량 3294
67.1%
양호 1510
30.7%
잡음 108
 
2.2%

Interactions

2024-04-17T23:16:57.488524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T23:16:57.031109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T23:16:57.710484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T23:16:57.284787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T23:17:01.434787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주파수경도위도수신상태
주파수1.0000.0000.0000.244
경도0.0001.0000.7730.197
위도0.0000.7731.0000.229
수신상태0.2440.1970.2291.000
2024-04-17T23:17:01.611096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주파수수신상태
주파수1.0000.397
수신상태0.3971.000
2024-04-17T23:17:01.778246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도주파수수신상태
경도1.0000.0170.0000.119
위도0.0171.0000.0000.140
주파수0.0000.0001.0000.397
수신상태0.1190.1400.3971.000

Missing values

2024-04-17T23:16:57.964691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T23:16:58.176441image/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

주파수측정위치경도위도수신상태
097.3MHz건강관리협회앞교차로126.88772935.149238양호
197.3MHz교직원공제회앞교차로126.88292435.157183양호
297.3MHz풍암지구IC126.86003935.12112양호
397.3MHz풍암지구입구교차로126.86248435.123112양호
497.3MHz카페네스카페광주상무점126.84844235.149201양호
597.3MHz서광주농협운천지점126.84844535.150342양호
697.3MHz전남지방우정청앞교차로126.8558335.160441양호
797.3MHz대원축산126.86588235.186907양호
897.3MHz진만초등학교126.8330635.183717불량
997.3MHz이피에스교육개발원126.88682135.150329양호
주파수측정위치경도위도수신상태
4902103.5MHz여정물산127.61892134.712563불량
4903103.5MHz전동교차로127.32449934.859113불량
4904103.5MHz철강나라126.74825835.109771불량
4905103.5MHz소담이앤씨127.48601235.208098불량
4906103.5MHz대포교127.62228834.813695양호
4907103.5MHz제2산단IC127.61459334.820763양호
4908103.5MHz신기교127.61155134.823176양호
4909103.5MHz우산사거리127.08903634.765067불량
4910103.5MHz송공교차로126.24927534.857549불량
4911103.5MHz대천리278-15126.28695434.861245불량