Overview

Dataset statistics

Number of variables7
Number of observations2566
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory143.0 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description위치정보사업자 현황으로 개인위치정보사업자 및 위치기반서비스사업자 허가/ 신고 현황 자료 입니다. 속성은 연번, 사업자명, 해당서비스명, 허가신고구분, 해당날짜입니다.
URLhttps://www.data.go.kr/data/15022357/fileData.do

Alerts

등록신고구분 is highly overall correlated with 일련번호 and 1 other fieldsHigh correlation
사업자구분 is highly overall correlated with 일련번호 and 1 other fieldsHigh correlation
일련번호 is highly overall correlated with 사업자구분 and 1 other fieldsHigh correlation
일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:39:08.964704
Analysis finished2023-12-12 10:39:10.306057
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2566
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1283.5
Minimum1
Maximum2566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2023-12-12T19:39:10.395844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile129.25
Q1642.25
median1283.5
Q31924.75
95-th percentile2437.75
Maximum2566
Range2565
Interquartile range (IQR)1282.5

Descriptive statistics

Standard deviation740.88472
Coefficient of variation (CV)0.5772378
Kurtosis-1.2
Mean1283.5
Median Absolute Deviation (MAD)641.5
Skewness0
Sum3293461
Variance548910.17
MonotonicityStrictly increasing
2023-12-12T19:39:10.564419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1606 1
 
< 0.1%
1708 1
 
< 0.1%
1709 1
 
< 0.1%
1710 1
 
< 0.1%
1711 1
 
< 0.1%
1712 1
 
< 0.1%
1713 1
 
< 0.1%
1714 1
 
< 0.1%
1715 1
 
< 0.1%
Other values (2556) 2556
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2566 1
< 0.1%
2565 1
< 0.1%
2564 1
< 0.1%
2563 1
< 0.1%
2562 1
< 0.1%
2561 1
< 0.1%
2560 1
< 0.1%
2559 1
< 0.1%
2558 1
< 0.1%
2557 1
< 0.1%

사업자구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
위치기반서비스사업자
1662 
소상공인 등의 위치기반서비스사업자
536 
개인위치정보사업자
320 
사물위치정보사업자
 
48

Length

Max length18
Median length10
Mean length11.52767
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위치기반서비스사업자 1662
64.8%
소상공인 등의 위치기반서비스사업자 536
 
20.9%
개인위치정보사업자 320
 
12.5%
사물위치정보사업자 48
 
1.9%

Length

2023-12-12T19:39:10.699215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:39:10.834523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위치기반서비스사업자 2198
60.4%
소상공인 536
 
14.7%
등의 536
 
14.7%
개인위치정보사업자 320
 
8.8%
사물위치정보사업자 48
 
1.3%
Distinct2411
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
2023-12-12T19:39:11.104177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length32
Mean length6.5728761
Min length2

Characters and Unicode

Total characters16866
Distinct characters699
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2259 ?
Unique (%)88.0%

Sample

1st rowSK에너지㈜
2nd row아이디스파워텔㈜
3rd row현대자동차㈜
4th row㈜케이티
5th row㈜비앤지로티스
ValueCountFrequency (%)
727
 
21.0%
주식회사 53
 
1.5%
유한회사 18
 
0.5%
inc 5
 
0.1%
sk에너지㈜ 3
 
0.1%
컴퍼니 3
 
0.1%
재단법인 3
 
0.1%
인성데이타㈜ 3
 
0.1%
㈜호텔롯데 3
 
0.1%
ltd 3
 
0.1%
Other values (2480) 2645
76.3%
2023-12-12T19:39:11.548902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2048
 
12.1%
1118
 
6.6%
827
 
4.9%
773
 
4.6%
340
 
2.0%
335
 
2.0%
321
 
1.9%
288
 
1.7%
244
 
1.4%
195
 
1.2%
Other values (689) 10377
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12969
76.9%
Other Symbol 2048
 
12.1%
Space Separator 1118
 
6.6%
Lowercase Letter 274
 
1.6%
Uppercase Letter 242
 
1.4%
Close Punctuation 75
 
0.4%
Open Punctuation 74
 
0.4%
Decimal Number 39
 
0.2%
Other Punctuation 24
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
827
 
6.4%
773
 
6.0%
340
 
2.6%
335
 
2.6%
321
 
2.5%
288
 
2.2%
244
 
1.9%
195
 
1.5%
193
 
1.5%
179
 
1.4%
Other values (623) 9274
71.5%
Uppercase Letter
ValueCountFrequency (%)
C 25
 
10.3%
S 24
 
9.9%
T 22
 
9.1%
I 17
 
7.0%
K 14
 
5.8%
L 14
 
5.8%
E 13
 
5.4%
N 13
 
5.4%
P 11
 
4.5%
M 9
 
3.7%
Other values (14) 80
33.1%
Lowercase Letter
ValueCountFrequency (%)
i 31
11.3%
e 28
10.2%
t 27
9.9%
a 26
9.5%
n 25
9.1%
o 23
 
8.4%
r 17
 
6.2%
l 17
 
6.2%
d 12
 
4.4%
c 10
 
3.6%
Other values (13) 58
21.2%
Decimal Number
ValueCountFrequency (%)
1 7
17.9%
2 6
15.4%
8 5
12.8%
0 4
10.3%
5 4
10.3%
9 4
10.3%
6 3
7.7%
3 3
7.7%
4 3
7.7%
Other Punctuation
ValueCountFrequency (%)
. 13
54.2%
, 7
29.2%
& 2
 
8.3%
! 2
 
8.3%
Other Symbol
ValueCountFrequency (%)
2048
100.0%
Space Separator
ValueCountFrequency (%)
1118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15017
89.0%
Common 1333
 
7.9%
Latin 516
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2048
 
13.6%
827
 
5.5%
773
 
5.1%
340
 
2.3%
335
 
2.2%
321
 
2.1%
288
 
1.9%
244
 
1.6%
195
 
1.3%
193
 
1.3%
Other values (624) 9453
62.9%
Latin
ValueCountFrequency (%)
i 31
 
6.0%
e 28
 
5.4%
t 27
 
5.2%
a 26
 
5.0%
C 25
 
4.8%
n 25
 
4.8%
S 24
 
4.7%
o 23
 
4.5%
T 22
 
4.3%
r 17
 
3.3%
Other values (37) 268
51.9%
Common
ValueCountFrequency (%)
1118
83.9%
) 75
 
5.6%
( 74
 
5.6%
. 13
 
1.0%
, 7
 
0.5%
1 7
 
0.5%
2 6
 
0.5%
8 5
 
0.4%
0 4
 
0.3%
5 4
 
0.3%
Other values (8) 20
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12969
76.9%
None 2048
 
12.1%
ASCII 1849
 
11.0%

Most frequent character per block

None
ValueCountFrequency (%)
2048
100.0%
ASCII
ValueCountFrequency (%)
1118
60.5%
) 75
 
4.1%
( 74
 
4.0%
i 31
 
1.7%
e 28
 
1.5%
t 27
 
1.5%
a 26
 
1.4%
C 25
 
1.4%
n 25
 
1.4%
S 24
 
1.3%
Other values (55) 396
 
21.4%
Hangul
ValueCountFrequency (%)
827
 
6.4%
773
 
6.0%
340
 
2.6%
335
 
2.6%
321
 
2.5%
288
 
2.2%
244
 
1.9%
195
 
1.5%
193
 
1.5%
179
 
1.4%
Other values (623) 9274
71.5%
Distinct2313
Distinct (%)90.2%
Missing2
Missing (%)0.1%
Memory size20.2 KiB
2023-12-12T19:39:12.004093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length150
Median length85
Mean length24.959828
Min length4

Characters and Unicode

Total characters63997
Distinct characters634
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2196 ?
Unique (%)85.6%

Sample

1st row텔레매틱스 서비스(NATE Drive), 버스/택시 관제 서비스 등
2nd row개인위치정보서비스(친구찾기), 차량관제 서비스
3rd row텔레매틱스 서비스(MOZEN) (주차위치 확인, SOS콜, 에어백 작동시 고객위치파악하여 구조 등)
4th rowWiBro 기반의 위치정보사업, 텔레매틱스, 선박위치 관제(IMSO의 인말새트위성 이용)
5th row실시간 교통정보, 텔레매틱스 서비스
ValueCountFrequency (%)
서비스 1927
 
12.0%
위치기반 1528
 
9.5%
이용자 1169
 
7.3%
제공 947
 
5.9%
578
 
3.6%
319
 
2.0%
정보 275
 
1.7%
차량 221
 
1.4%
찾기 171
 
1.1%
주변 163
 
1.0%
Other values (3003) 8790
54.6%
2023-12-12T19:39:12.664181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13524
21.1%
2499
 
3.9%
2399
 
3.7%
2326
 
3.6%
2322
 
3.6%
2311
 
3.6%
2228
 
3.5%
1735
 
2.7%
1696
 
2.7%
1607
 
2.5%
Other values (624) 31350
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47880
74.8%
Space Separator 13524
 
21.1%
Uppercase Letter 1063
 
1.7%
Other Punctuation 601
 
0.9%
Lowercase Letter 301
 
0.5%
Close Punctuation 286
 
0.4%
Open Punctuation 284
 
0.4%
Decimal Number 29
 
< 0.1%
Dash Punctuation 27
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2499
 
5.2%
2399
 
5.0%
2326
 
4.9%
2322
 
4.8%
2311
 
4.8%
2228
 
4.7%
1735
 
3.6%
1696
 
3.5%
1607
 
3.4%
1476
 
3.1%
Other values (549) 27281
57.0%
Uppercase Letter
ValueCountFrequency (%)
S 262
24.6%
P 189
17.8%
G 163
15.3%
F 49
 
4.6%
N 45
 
4.2%
I 42
 
4.0%
A 40
 
3.8%
R 39
 
3.7%
D 35
 
3.3%
T 32
 
3.0%
Other values (15) 167
15.7%
Lowercase Letter
ValueCountFrequency (%)
i 62
20.6%
o 38
12.6%
e 38
12.6%
a 29
9.6%
n 25
8.3%
c 21
 
7.0%
r 15
 
5.0%
t 12
 
4.0%
g 7
 
2.3%
d 7
 
2.3%
Other values (13) 47
15.6%
Other Punctuation
ValueCountFrequency (%)
, 423
70.4%
· 88
 
14.6%
/ 61
 
10.1%
8
 
1.3%
' 6
 
1.0%
" 4
 
0.7%
. 4
 
0.7%
: 3
 
0.5%
* 2
 
0.3%
; 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 8
27.6%
2 5
17.2%
8 4
13.8%
3 4
13.8%
0 2
 
6.9%
6 2
 
6.9%
5 1
 
3.4%
4 1
 
3.4%
7 1
 
3.4%
9 1
 
3.4%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
13524
100.0%
Close Punctuation
ValueCountFrequency (%)
) 286
100.0%
Open Punctuation
ValueCountFrequency (%)
( 284
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47880
74.8%
Common 14753
 
23.1%
Latin 1364
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2499
 
5.2%
2399
 
5.0%
2326
 
4.9%
2322
 
4.8%
2311
 
4.8%
2228
 
4.7%
1735
 
3.6%
1696
 
3.5%
1607
 
3.4%
1476
 
3.1%
Other values (549) 27281
57.0%
Latin
ValueCountFrequency (%)
S 262
19.2%
P 189
13.9%
G 163
 
12.0%
i 62
 
4.5%
F 49
 
3.6%
N 45
 
3.3%
I 42
 
3.1%
A 40
 
2.9%
R 39
 
2.9%
o 38
 
2.8%
Other values (38) 435
31.9%
Common
ValueCountFrequency (%)
13524
91.7%
, 423
 
2.9%
) 286
 
1.9%
( 284
 
1.9%
· 88
 
0.6%
/ 61
 
0.4%
- 27
 
0.2%
8
 
0.1%
1 8
 
0.1%
' 6
 
< 0.1%
Other values (17) 38
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47858
74.8%
ASCII 16020
 
25.0%
None 89
 
0.1%
Compat Jamo 22
 
< 0.1%
Punctuation 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13524
84.4%
, 423
 
2.6%
) 286
 
1.8%
( 284
 
1.8%
S 262
 
1.6%
P 189
 
1.2%
G 163
 
1.0%
i 62
 
0.4%
/ 61
 
0.4%
F 49
 
0.3%
Other values (62) 717
 
4.5%
Hangul
ValueCountFrequency (%)
2499
 
5.2%
2399
 
5.0%
2326
 
4.9%
2322
 
4.9%
2311
 
4.8%
2228
 
4.7%
1735
 
3.6%
1696
 
3.5%
1607
 
3.4%
1476
 
3.1%
Other values (546) 27259
57.0%
None
ValueCountFrequency (%)
· 88
98.9%
1
 
1.1%
Compat Jamo
ValueCountFrequency (%)
20
90.9%
1
 
4.5%
1
 
4.5%
Punctuation
ValueCountFrequency (%)
8
100.0%

등록신고구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
신고
2246 
등록
320 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신고 2246
87.5%
등록 320
 
12.5%

Length

2023-12-12T19:39:12.841265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:39:12.974478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고 2246
87.5%
등록 320
 
12.5%
Distinct2115
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
2023-12-12T19:39:13.498704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4875292
Min length1

Characters and Unicode

Total characters8949
Distinct characters13
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

Unique1699 ?
Unique (%)66.2%

Sample

1st row제1호
2nd row제2호
3rd row제3호
4th row제4호
5th row제8호
ValueCountFrequency (%)
11 3
 
0.1%
42 3
 
0.1%
27 3
 
0.1%
14 3
 
0.1%
37 3
 
0.1%
34 3
 
0.1%
33 3
 
0.1%
29 3
 
0.1%
28 3
 
0.1%
30 3
 
0.1%
Other values (2105) 2536
98.8%
2023-12-12T19:39:14.259694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1698
19.0%
2 961
10.7%
3 864
9.7%
4 786
8.8%
5 721
8.1%
7 675
 
7.5%
6 664
 
7.4%
9 657
 
7.3%
0 649
 
7.3%
8 633
 
7.1%
Other values (3) 641
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8308
92.8%
Other Letter 640
 
7.2%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1698
20.4%
2 961
11.6%
3 864
10.4%
4 786
9.5%
5 721
8.7%
7 675
 
8.1%
6 664
 
8.0%
9 657
 
7.9%
0 649
 
7.8%
8 633
 
7.6%
Other Letter
ValueCountFrequency (%)
320
50.0%
320
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8309
92.8%
Hangul 640
 
7.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1698
20.4%
2 961
11.6%
3 864
10.4%
4 786
9.5%
5 721
8.7%
7 675
 
8.1%
6 664
 
8.0%
9 657
 
7.9%
0 649
 
7.8%
8 633
 
7.6%
Hangul
ValueCountFrequency (%)
320
50.0%
320
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8309
92.8%
Hangul 640
 
7.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1698
20.4%
2 961
11.6%
3 864
10.4%
4 786
9.5%
5 721
8.7%
7 675
 
8.1%
6 664
 
8.0%
9 657
 
7.9%
0 649
 
7.8%
8 633
 
7.6%
Hangul
ValueCountFrequency (%)
320
50.0%
320
50.0%
Distinct878
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
Minimum2005-10-26 00:00:00
Maximum2023-06-28 00:00:00
2023-12-12T19:39:14.497167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:39:14.707161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T19:39:09.956614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:39:14.835529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호사업자구분등록신고구분
일련번호1.0000.9130.990
사업자구분0.9131.0001.000
등록신고구분0.9901.0001.000
2023-12-12T19:39:14.949780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록신고구분사업자구분
등록신고구분1.0001.000
사업자구분1.0001.000
2023-12-12T19:39:15.072785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호사업자구분등록신고구분
일련번호1.0000.8040.909
사업자구분0.8041.0001.000
등록신고구분0.9091.0001.000

Missing values

2023-12-12T19:39:10.109473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:39:10.241475image/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

일련번호사업자구분사업자명제공서비스등록신고구분등록신고번호등록신고일
01개인위치정보사업자SK에너지㈜텔레매틱스 서비스(NATE Drive), 버스/택시 관제 서비스 등등록제1호2005-10-28
12개인위치정보사업자아이디스파워텔㈜개인위치정보서비스(친구찾기), 차량관제 서비스등록제2호2005-10-28
23개인위치정보사업자현대자동차㈜텔레매틱스 서비스(MOZEN) (주차위치 확인, SOS콜, 에어백 작동시 고객위치파악하여 구조 등)등록제3호2005-10-28
34개인위치정보사업자㈜케이티WiBro 기반의 위치정보사업, 텔레매틱스, 선박위치 관제(IMSO의 인말새트위성 이용)등록제4호2005-10-28
45개인위치정보사업자㈜비앤지로티스실시간 교통정보, 텔레매틱스 서비스등록제8호2005-10-28
56개인위치정보사업자㈜로티스차량 위치관제, 텔레매틱스 서비스등록제9호2005-10-28
67개인위치정보사업자에스케이텔레콤㈜위치정보제공 서비스, 친구찾기 등 위치기반 서비스등록제10호2005-10-28
78개인위치정보사업자대신정보통신㈜화물차, 렌터카 관제, 외근 영업사원 관리 서비스 등등록제11호2005-10-28
89개인위치정보사업자㈜썸넷차량관제, 물류관제 서비스등록제12호2005-10-28
910개인위치정보사업자팅크웨어㈜텔레매틱스 솔루션 개발등록제13호2005-10-28
일련번호사업자구분사업자명제공서비스등록신고구분등록신고번호등록신고일
25562557소상공인 등의 위치기반서비스사업자핑퐁㈜위치기반 액티비티게임 및 리워드 서비스신고5442023-04-13
25572558소상공인 등의 위치기반서비스사업자일상라인위치기반 고정 화물 일자리 추천 서비스신고5452023-04-13
25582559소상공인 등의 위치기반서비스사업자㈜브이유에스위치기반 최적 경로 및 방문순서 안내 서비스신고5462023-04-14
25592560소상공인 등의 위치기반서비스사업자㈜초이서위치기반 낚시 관련 정보 제공 서비스신고5472023-04-24
25602561소상공인 등의 위치기반서비스사업자보이저소프트㈜위치기반 식사 및 영화 관람 친구 찾기 서비스신고5482023-05-01
25612562소상공인 등의 위치기반서비스사업자㈜더와트위치기반 전기차 충전소 찾기 서비스신고5492023-05-15
25622563소상공인 등의 위치기반서비스사업자㈜키닷위치기반 공용차량 키 관리 서비스신고5502023-05-15
25632564소상공인 등의 위치기반서비스사업자㈜캐쉬풀어스사용자 위치기반 광고홍보노출 서비스신고5512023-06-05
25642565소상공인 등의 위치기반서비스사업자㈜티킷위치기반 이벤트(페스티벌 및 클럽) 정보 제공 및 구매 연계 서비스신고5522023-06-26
25652566소상공인 등의 위치기반서비스사업자(주)피오텍위치기반 어르신 라이프케어 서비스신고5532023-06-27