Overview

Dataset statistics

Number of variables13
Number of observations929
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory97.2 KiB
Average record size in memory107.1 B

Variable types

Text4
Categorical5
Numeric3
DateTime1

Dataset

Description경상북도 구미시 관내 설치된 도로안내표지에 대한 데이터로 안내표지의 주소 및 위경도 위치정보 등의 데이터를 제공하고 있습니다.
Author경상북도 구미시
URLhttps://www.data.go.kr/data/15111619/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 22:18:38.498636
Analysis finished2023-12-12 22:18:40.427086
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct873
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-13T07:18:40.623698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length17.495156
Min length14

Characters and Unicode

Total characters16253
Distinct characters119
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique818 ?
Unique (%)88.1%

Sample

1st rowER-1[경부고속도로]-상-1051
2nd rowER-1[경부고속도로]-상-1052
3rd rowNR-25[낙동대로]-상-129
4th rowNR-25[낙동대로]-상-157
5th rowNR-25[낙동대로]-상-158
ValueCountFrequency (%)
rr-514[수출대로]-하-8 3
 
0.3%
nr-25[낙동대로]-상-747 2
 
0.2%
rr-514[야은로]-상-11 2
 
0.2%
nr-67[3공단3로]-상-50 2
 
0.2%
nr-33[낙동강변로]-상-69 2
 
0.2%
nr-33[낙동강변로]-상-563 2
 
0.2%
rr-514[수출대로]-상-11 2
 
0.2%
ur(구미시)-[강동로]-하-65 2
 
0.2%
ur(구미시)-[송동로]-하-2 2
 
0.2%
rr-514[수출대로]-상-2 2
 
0.2%
Other values (863) 908
97.7%
2023-12-13T07:18:41.051194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2786
 
17.1%
R 1066
 
6.6%
[ 929
 
5.7%
] 928
 
5.7%
892
 
5.5%
518
 
3.2%
491
 
3.0%
491
 
3.0%
3 468
 
2.9%
1 467
 
2.9%
Other values (109) 7217
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5824
35.8%
Decimal Number 3026
18.6%
Dash Punctuation 2786
17.1%
Uppercase Letter 1858
 
11.4%
Open Punctuation 1380
 
8.5%
Close Punctuation 1379
 
8.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
892
15.3%
518
 
8.9%
491
 
8.4%
491
 
8.4%
455
 
7.8%
440
 
7.6%
337
 
5.8%
284
 
4.9%
196
 
3.4%
153
 
2.6%
Other values (90) 1567
26.9%
Decimal Number
ValueCountFrequency (%)
3 468
15.5%
1 467
15.4%
5 429
14.2%
2 424
14.0%
7 312
10.3%
6 294
9.7%
4 269
8.9%
8 160
 
5.3%
9 125
 
4.1%
0 78
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
R 1066
57.4%
U 451
24.3%
N 339
 
18.2%
E 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
[ 929
67.3%
( 451
32.7%
Close Punctuation
ValueCountFrequency (%)
] 928
67.3%
) 451
32.7%
Dash Punctuation
ValueCountFrequency (%)
- 2786
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8571
52.7%
Hangul 5824
35.8%
Latin 1858
 
11.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
892
15.3%
518
 
8.9%
491
 
8.4%
491
 
8.4%
455
 
7.8%
440
 
7.6%
337
 
5.8%
284
 
4.9%
196
 
3.4%
153
 
2.6%
Other values (90) 1567
26.9%
Common
ValueCountFrequency (%)
- 2786
32.5%
[ 929
 
10.8%
] 928
 
10.8%
3 468
 
5.5%
1 467
 
5.4%
( 451
 
5.3%
) 451
 
5.3%
5 429
 
5.0%
2 424
 
4.9%
7 312
 
3.6%
Other values (5) 926
 
10.8%
Latin
ValueCountFrequency (%)
R 1066
57.4%
U 451
24.3%
N 339
 
18.2%
E 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10429
64.2%
Hangul 5824
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2786
26.7%
R 1066
 
10.2%
[ 929
 
8.9%
] 928
 
8.9%
3 468
 
4.5%
1 467
 
4.5%
( 451
 
4.3%
U 451
 
4.3%
) 451
 
4.3%
5 429
 
4.1%
Other values (9) 2003
19.2%
Hangul
ValueCountFrequency (%)
892
15.3%
518
 
8.9%
491
 
8.4%
491
 
8.4%
455
 
7.8%
440
 
7.6%
337
 
5.8%
284
 
4.9%
196
 
3.4%
153
 
2.6%
Other values (90) 1567
26.9%

도로종류
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
UR
451 
NR
339 
RR
137 
ER
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowER
2nd rowER
3rd rowNR
4th rowNR
5th rowNR

Common Values

ValueCountFrequency (%)
UR 451
48.5%
NR 339
36.5%
RR 137
 
14.7%
ER 2
 
0.2%

Length

2023-12-13T07:18:41.193724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:18:41.291158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ur 451
48.5%
nr 339
36.5%
rr 137
 
14.7%
er 2
 
0.2%
Distinct11
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
514번
217 
25번
189 
33번
183 
67번
162 
1번
79 
Other values (6)
99 

Length

Max length4
Median length3
Mean length3.219591
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row33번
2nd row33번
3rd row25번
4th row25번
5th row25번

Common Values

ValueCountFrequency (%)
514번 217
23.4%
25번 189
20.3%
33번 183
19.7%
67번 162
17.4%
1번 79
 
8.5%
927번 50
 
5.4%
68번 18
 
1.9%
916번 15
 
1.6%
59번 14
 
1.5%
913번 1
 
0.1%

Length

2023-12-13T07:18:41.426337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
514번 217
23.4%
25번 189
20.3%
33번 183
19.7%
67번 162
17.4%
1번 79
 
8.5%
927번 50
 
5.4%
68번 18
 
1.9%
916번 15
 
1.6%
59번 14
 
1.5%
913번 1
 
0.1%
Distinct113
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-13T07:18:41.702374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.0333692
Min length3

Characters and Unicode

Total characters3747
Distinct characters107
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)3.9%

Sample

1st row낙동강변로
2nd row낙동강변로
3rd row낙동대로
4th row낙동대로
5th row낙동대로
ValueCountFrequency (%)
낙동대로 115
 
12.4%
강동로 102
 
11.0%
선산대로 81
 
8.7%
옥계2공단로 55
 
5.9%
산호대로 46
 
5.0%
수출대로 44
 
4.7%
낙동강변로 39
 
4.2%
야은로 27
 
2.9%
3공단3로 25
 
2.7%
인동가산로 22
 
2.4%
Other values (102) 373
40.2%
2023-12-13T07:18:42.046001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
892
23.8%
338
 
9.0%
290
 
7.7%
201
 
5.4%
154
 
4.1%
141
 
3.8%
128
 
3.4%
127
 
3.4%
122
 
3.3%
2 72
 
1.9%
Other values (97) 1282
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3528
94.2%
Decimal Number 212
 
5.7%
Space Separator 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
892
25.3%
338
 
9.6%
290
 
8.2%
201
 
5.7%
154
 
4.4%
141
 
4.0%
128
 
3.6%
127
 
3.6%
122
 
3.5%
67
 
1.9%
Other values (87) 1068
30.3%
Decimal Number
ValueCountFrequency (%)
2 72
34.0%
3 72
34.0%
1 29
13.7%
4 21
 
9.9%
6 7
 
3.3%
7 5
 
2.4%
5 3
 
1.4%
9 2
 
0.9%
8 1
 
0.5%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3528
94.2%
Common 219
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
892
25.3%
338
 
9.6%
290
 
8.2%
201
 
5.7%
154
 
4.4%
141
 
4.0%
128
 
3.6%
127
 
3.6%
122
 
3.5%
67
 
1.9%
Other values (87) 1068
30.3%
Common
ValueCountFrequency (%)
2 72
32.9%
3 72
32.9%
1 29
13.2%
4 21
 
9.6%
7
 
3.2%
6 7
 
3.2%
7 5
 
2.3%
5 3
 
1.4%
9 2
 
0.9%
8 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3528
94.2%
ASCII 219
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
892
25.3%
338
 
9.6%
290
 
8.2%
201
 
5.7%
154
 
4.4%
141
 
4.0%
128
 
3.6%
127
 
3.6%
122
 
3.5%
67
 
1.9%
Other values (87) 1068
30.3%
ASCII
ValueCountFrequency (%)
2 72
32.9%
3 72
32.9%
1 29
13.2%
4 21
 
9.6%
7
 
3.2%
6 7
 
3.2%
7 5
 
2.3%
5 3
 
1.4%
9 2
 
0.9%
8 1
 
0.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
U
488 
D
434 
U
 
7

Length

Max length2
Median length1
Mean length1.007535
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 488
52.5%
D 434
46.7%
U 7
 
0.8%

Length

2023-12-13T07:18:42.180833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:18:42.274922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 495
53.3%
d 434
46.7%
Distinct639
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-13T07:18:42.620002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length19.346609
Min length14

Characters and Unicode

Total characters17973
Distinct characters127
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique465 ?
Unique (%)50.1%

Sample

1st row경상북도 구미시 낙동강변로 29
2nd row경상북도 구미시 낙동강변로 12
3rd row경상북도 구미시 도개면 도군로 42
4th row경상북도 구미시 해평면 강동로 2637
5th row경상북도 구미시 도개면 낙동대로 3318
ValueCountFrequency (%)
구미시 930
22.3%
경상북도 929
22.3%
강동로 134
 
3.2%
해평면 124
 
3.0%
장천면 67
 
1.6%
고아읍 65
 
1.6%
도개면 64
 
1.5%
선산대로 61
 
1.5%
선산읍 56
 
1.3%
수출대로 45
 
1.1%
Other values (675) 1688
40.5%
2023-12-13T07:18:43.196457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3234
18.0%
1029
 
5.7%
984
 
5.5%
984
 
5.5%
957
 
5.3%
938
 
5.2%
934
 
5.2%
929
 
5.2%
790
 
4.4%
1 654
 
3.6%
Other values (117) 6540
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11299
62.9%
Space Separator 3234
 
18.0%
Decimal Number 3201
 
17.8%
Dash Punctuation 237
 
1.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1029
 
9.1%
984
 
8.7%
984
 
8.7%
957
 
8.5%
938
 
8.3%
934
 
8.3%
929
 
8.2%
790
 
7.0%
291
 
2.6%
282
 
2.5%
Other values (103) 3181
28.2%
Decimal Number
ValueCountFrequency (%)
1 654
20.4%
2 471
14.7%
3 384
12.0%
4 297
9.3%
6 288
9.0%
5 277
8.7%
7 235
 
7.3%
0 212
 
6.6%
9 207
 
6.5%
8 176
 
5.5%
Space Separator
ValueCountFrequency (%)
3234
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 237
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11299
62.9%
Common 6674
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1029
 
9.1%
984
 
8.7%
984
 
8.7%
957
 
8.5%
938
 
8.3%
934
 
8.3%
929
 
8.2%
790
 
7.0%
291
 
2.6%
282
 
2.5%
Other values (103) 3181
28.2%
Common
ValueCountFrequency (%)
3234
48.5%
1 654
 
9.8%
2 471
 
7.1%
3 384
 
5.8%
4 297
 
4.5%
6 288
 
4.3%
5 277
 
4.2%
- 237
 
3.6%
7 235
 
3.5%
0 212
 
3.2%
Other values (4) 385
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11299
62.9%
ASCII 6674
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3234
48.5%
1 654
 
9.8%
2 471
 
7.1%
3 384
 
5.8%
4 297
 
4.5%
6 288
 
4.3%
5 277
 
4.2%
- 237
 
3.6%
7 235
 
3.5%
0 212
 
3.2%
Other values (4) 385
 
5.8%
Hangul
ValueCountFrequency (%)
1029
 
9.1%
984
 
8.7%
984
 
8.7%
957
 
8.5%
938
 
8.3%
934
 
8.3%
929
 
8.2%
790
 
7.0%
291
 
2.6%
282
 
2.5%
Other values (103) 3181
28.2%
Distinct647
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-13T07:18:43.549455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length19.736276
Min length15

Characters and Unicode

Total characters18335
Distinct characters105
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

Unique500 ?
Unique (%)53.8%

Sample

1st row경상북도 구미시 오태동 산 23-4
2nd row경상북도 구미시 오태동 산 22-2
3rd row경상북도 구미시 도개면 신림리 산 48-7
4th row경상북도 구미시 도개면 신림리 775-4
5th row경상북도 구미시 도개면 도개리 1007-169
ValueCountFrequency (%)
경상북도 929
21.8%
구미시 929
21.8%
해평면 115
 
2.7%
공단동 93
 
2.2%
92
 
2.2%
산동읍 72
 
1.7%
장천면 67
 
1.6%
도개면 67
 
1.6%
고아읍 65
 
1.5%
선산읍 56
 
1.3%
Other values (696) 1774
41.7%
2023-12-13T07:18:44.047437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3330
18.2%
1029
 
5.6%
972
 
5.3%
943
 
5.1%
940
 
5.1%
940
 
5.1%
929
 
5.1%
929
 
5.1%
- 724
 
3.9%
1 620
 
3.4%
Other values (95) 6979
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10726
58.5%
Decimal Number 3555
 
19.4%
Space Separator 3330
 
18.2%
Dash Punctuation 724
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1029
 
9.6%
972
 
9.1%
943
 
8.8%
940
 
8.8%
940
 
8.8%
929
 
8.7%
929
 
8.7%
570
 
5.3%
451
 
4.2%
258
 
2.4%
Other values (83) 2765
25.8%
Decimal Number
ValueCountFrequency (%)
1 620
17.4%
2 453
12.7%
3 412
11.6%
4 396
11.1%
5 334
9.4%
6 313
8.8%
9 277
7.8%
8 268
7.5%
0 243
 
6.8%
7 239
 
6.7%
Space Separator
ValueCountFrequency (%)
3330
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 724
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10726
58.5%
Common 7609
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1029
 
9.6%
972
 
9.1%
943
 
8.8%
940
 
8.8%
940
 
8.8%
929
 
8.7%
929
 
8.7%
570
 
5.3%
451
 
4.2%
258
 
2.4%
Other values (83) 2765
25.8%
Common
ValueCountFrequency (%)
3330
43.8%
- 724
 
9.5%
1 620
 
8.1%
2 453
 
6.0%
3 412
 
5.4%
4 396
 
5.2%
5 334
 
4.4%
6 313
 
4.1%
9 277
 
3.6%
8 268
 
3.5%
Other values (2) 482
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10726
58.5%
ASCII 7609
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3330
43.8%
- 724
 
9.5%
1 620
 
8.1%
2 453
 
6.0%
3 412
 
5.4%
4 396
 
5.2%
5 334
 
4.4%
6 313
 
4.1%
9 277
 
3.6%
8 268
 
3.5%
Other values (2) 482
 
6.3%
Hangul
ValueCountFrequency (%)
1029
 
9.6%
972
 
9.1%
943
 
8.8%
940
 
8.8%
940
 
8.8%
929
 
8.7%
929
 
8.7%
570
 
5.3%
451
 
4.2%
258
 
2.4%
Other values (83) 2765
25.8%

위도
Real number (ℝ)

Distinct831
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.157622
Minimum36.072169
Maximum36.310741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2023-12-13T07:18:44.203400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.072169
5-th percentile36.086787
Q136.11106
median36.136706
Q336.1969
95-th percentile36.273308
Maximum36.310741
Range0.23857123
Interquartile range (IQR)0.08584008

Descriptive statistics

Standard deviation0.058307682
Coefficient of variation (CV)0.0016125972
Kurtosis-0.46162773
Mean36.157622
Median Absolute Deviation (MAD)0.03048073
Skewness0.78300416
Sum33590.431
Variance0.0033997858
MonotonicityNot monotonic
2023-12-13T07:18:44.364016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.27904124 3
 
0.3%
36.27049326 3
 
0.3%
36.13670603 3
 
0.3%
36.13615515 3
 
0.3%
36.11105996 3
 
0.3%
36.27789587 3
 
0.3%
36.10485014 2
 
0.2%
36.0916594 2
 
0.2%
36.09590961 2
 
0.2%
36.09758071 2
 
0.2%
Other values (821) 903
97.2%
ValueCountFrequency (%)
36.07216939 1
0.1%
36.07272793 1
0.1%
36.07290463 1
0.1%
36.07301223 1
0.1%
36.07310079 1
0.1%
36.07317834 1
0.1%
36.07323881 1
0.1%
36.07339093 1
0.1%
36.07345301 1
0.1%
36.07389297 1
0.1%
ValueCountFrequency (%)
36.31074062 1
0.1%
36.30588138 1
0.1%
36.30578896 1
0.1%
36.30549704 1
0.1%
36.305497 1
0.1%
36.30538831 1
0.1%
36.30486221 1
0.1%
36.30461729 1
0.1%
36.30299561 1
0.1%
36.29880088 1
0.1%

경도
Real number (ℝ)

Distinct831
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.3793
Minimum128.20466
Maximum128.4989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2023-12-13T07:18:44.528922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.20466
5-th percentile128.30479
Q1128.34705
median128.37576
Q3128.41303
95-th percentile128.48582
Maximum128.4989
Range0.2942389
Interquartile range (IQR)0.0659871

Descriptive statistics

Standard deviation0.052027799
Coefficient of variation (CV)0.00040526626
Kurtosis0.25069587
Mean128.3793
Median Absolute Deviation (MAD)0.0346832
Skewness0.18307016
Sum119264.37
Variance0.0027068919
MonotonicityNot monotonic
2023-12-13T07:18:44.708056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.349036 3
 
0.3%
128.3481851 3
 
0.3%
128.401525 3
 
0.3%
128.3322117 3
 
0.3%
128.3860472 3
 
0.3%
128.3466703 3
 
0.3%
128.4106142 2
 
0.2%
128.4107133 2
 
0.2%
128.4107081 2
 
0.2%
128.4106961 2
 
0.2%
Other values (821) 903
97.2%
ValueCountFrequency (%)
128.2046577 1
0.1%
128.207928 1
0.1%
128.2079587 1
0.1%
128.2091689 1
0.1%
128.2121515 1
0.1%
128.2238265 1
0.1%
128.2384915 2
0.2%
128.2549819 1
0.1%
128.2561738 1
0.1%
128.2606821 1
0.1%
ValueCountFrequency (%)
128.4988966 1
0.1%
128.4963047 1
0.1%
128.4958088 1
0.1%
128.4954626 1
0.1%
128.4940923 1
0.1%
128.4935727 1
0.1%
128.4931765 1
0.1%
128.4930953 1
0.1%
128.4930692 1
0.1%
128.4930161 1
0.1%

도로안내표지구분
Real number (ℝ)

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9386437
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2023-12-13T07:18:44.857454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile6
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.812471
Coefficient of variation (CV)2.6216658
Kurtosis15.276818
Mean7.9386437
Median Absolute Deviation (MAD)0
Skewness4.148491
Sum7375
Variance433.15895
MonotonicityNot monotonic
2023-12-13T07:18:44.973212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 664
71.5%
4 100
 
10.8%
6 50
 
5.4%
99 46
 
5.0%
2 44
 
4.7%
1 21
 
2.3%
5 4
 
0.4%
ValueCountFrequency (%)
1 21
 
2.3%
2 44
 
4.7%
3 664
71.5%
4 100
 
10.8%
5 4
 
0.4%
6 50
 
5.4%
99 46
 
5.0%
ValueCountFrequency (%)
99 46
 
5.0%
6 50
 
5.4%
5 4
 
0.4%
4 100
 
10.8%
3 664
71.5%
2 44
 
4.7%
1 21
 
2.3%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
경상북도 구미시청
929 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상북도 구미시청
2nd row경상북도 구미시청
3rd row경상북도 구미시청
4th row경상북도 구미시청
5th row경상북도 구미시청

Common Values

ValueCountFrequency (%)
경상북도 구미시청 929
100.0%

Length

2023-12-13T07:18:45.095163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:18:45.227712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 929
50.0%
구미시청 929
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
054-480-6114
929 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row054-480-6114
2nd row054-480-6114
3rd row054-480-6114
4th row054-480-6114
5th row054-480-6114

Common Values

ValueCountFrequency (%)
054-480-6114 929
100.0%

Length

2023-12-13T07:18:45.348758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:18:45.445028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
054-480-6114 929
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum2022-12-28 00:00:00
Maximum2022-12-28 00:00:00
2023-12-13T07:18:45.527568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:18:45.633543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:18:39.928739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:18:39.120365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:18:39.377818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:18:40.015902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:18:39.201662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:18:39.470459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:18:40.101652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:18:39.294215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:18:39.558460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:18:45.745886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로종류도로노선번호도로노선방향위도경도도로안내표지구분
도로종류1.0000.6550.3860.4020.3640.075
도로노선번호0.6551.0000.1280.6660.7460.000
도로노선방향0.3860.1281.0000.2330.1450.050
위도0.4020.6660.2331.0000.8410.169
경도0.3640.7460.1450.8411.0000.128
도로안내표지구분0.0750.0000.0500.1690.1281.000
2023-12-13T07:18:45.893564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로노선방향도로노선번호도로종류
도로노선방향1.0000.0740.376
도로노선번호0.0741.0000.459
도로종류0.3760.4591.000
2023-12-13T07:18:46.017249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도도로안내표지구분도로종류도로노선번호도로노선방향
위도1.000-0.342-0.0010.2500.3590.142
경도-0.3421.0000.0310.2290.4360.088
도로안내표지구분-0.0010.0311.0000.0500.0000.083
도로종류0.2500.2290.0501.0000.4590.376
도로노선번호0.3590.4360.0000.4591.0000.074
도로노선방향0.1420.0880.0830.3760.0741.000

Missing values

2023-12-13T07:18:40.211402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:18:40.355276image/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

도로안내표지일련번호도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도도로안내표지구분관리기관명관리기관전화번호데이터기준일자
0ER-1[경부고속도로]-상-1051ER33번낙동강변로U경상북도 구미시 낙동강변로 29경상북도 구미시 오태동 산 23-436.073012128.3738556경상북도 구미시청054-480-61142022-12-28
1ER-1[경부고속도로]-상-1052ER33번낙동강변로U경상북도 구미시 낙동강변로 12경상북도 구미시 오태동 산 22-236.072905128.3736565경상북도 구미시청054-480-61142022-12-28
2NR-25[낙동대로]-상-129NR25번낙동대로U경상북도 구미시 도개면 도군로 42경상북도 구미시 도개면 신림리 산 48-736.274318128.3498064경상북도 구미시청054-480-61142022-12-28
3NR-25[낙동대로]-상-157NR25번낙동대로U경상북도 구미시 해평면 강동로 2637경상북도 구미시 도개면 신림리 775-436.268618128.3476573경상북도 구미시청054-480-61142022-12-28
4NR-25[낙동대로]-상-158NR25번낙동대로U경상북도 구미시 도개면 낙동대로 3318경상북도 구미시 도개면 도개리 1007-16936.288969128.3422022경상북도 구미시청054-480-61142022-12-28
5NR-25[낙동대로]-상-177NR25번낙동대로U경상북도 구미시 도개면 도군로 92-1경상북도 구미시 도개면 신림리 611-136.27878128.3486543경상북도 구미시청054-480-61142022-12-28
6NR-25[낙동대로]-상-190NR25번낙동대로U경상북도 구미시 해평면 강동로 2523-156경상북도 구미시 선산읍 독동리 783-736.255873128.3414472경상북도 구미시청054-480-61142022-12-28
7NR-25[낙동대로]-상-218NR25번낙동대로U경상북도 구미시 해평면 강동로경상북도 구미시 해평면 낙산리 1095-29336.262723128.3456544경상북도 구미시청054-480-61142022-12-28
8NR-25[낙동대로]-상-226NR25번낙동대로U경상북도 구미시 도개면 도군로 42-1경상북도 구미시 도개면 신림리 산 63-136.274688128.3498334경상북도 구미시청054-480-61142022-12-28
9NR-25[낙동대로]-상-249NR25번낙동대로U경상북도 구미시 도개면 강동로 2676경상북도 구미시 도개면 신림리 산 43-836.271915128.3487414경상북도 구미시청054-480-61142022-12-28
도로안내표지일련번호도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도도로안내표지구분관리기관명관리기관전화번호데이터기준일자
919UR(구미시)-[형곡로17길]-하-1UR514번형곡로17길D경상북도 구미시 형곡로17길 6경상북도 구미시 형곡동 22836.112235128.332843경상북도 구미시청054-480-61142022-12-28
920UR(구미시)-[형곡중앙로]-상-1UR514번형곡중앙로U경상북도 구미시 신시로 41경상북도 구미시 형곡동 22936.111635128.3385113경상북도 구미시청054-480-61142022-12-28
921UR(구미시)-[형곡중앙로]-하-1UR514번형곡중앙로D경상북도 구미시 신시로 55경상북도 구미시 형곡동 22936.112733128.3390073경상북도 구미시청054-480-61142022-12-28
922UR(구미시)-[황들길]-상-10UR916번황들길U경상북도 구미시 고아읍 황들길 15경상북도 구미시 고아읍 관심리 686-736.209436128.3266813경상북도 구미시청054-480-61142022-12-28
923UR(구미시)-[황들길]-상-9UR916번황들길U경상북도 구미시 고아읍 황들길 1경상북도 구미시 고아읍 관심리 686-436.210559128.3276253경상북도 구미시청054-480-61142022-12-28
924UR(구미시)-33[산호대로]-상-1UR514번산호대로U경상북도 구미시 산호대로 116-6경상북도 구미시 공단동 352-3336.092832128.3858923경상북도 구미시청054-480-61142022-12-28
925UR(구미시)-33[산호대로]-하-1UR33번선산대로D경상북도 구미시 남구미로 69경상북도 구미시 공단동 324-736.084566128.3853823경상북도 구미시청054-480-61142022-12-28
926UR(구미시)-33[산호대로]-하-10UR514번산호대로D경상북도 구미시 산호대로 104-134경상북도 구미시 공단동 352-2636.092703128.3933763경상북도 구미시청054-480-61142022-12-28
927UR(구미시)-33[산호대로]-하-3UR514번산호대로D경상북도 구미시 산호대로 32경상북도 구미시 공단동 352-6836.087274128.3853763경상북도 구미시청054-480-61142022-12-28
928UR(구미시)-33[산호대로]-하-5UR514번산호대로D경상북도 구미시 산호대로 104-148경상북도 구미시 공단동 352-2636.092692128.3911893경상북도 구미시청054-480-61142022-12-28