Overview

Dataset statistics

Number of variables6
Number of observations196
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.5%
Total size in memory9.7 KiB
Average record size in memory50.7 B

Variable types

Numeric2
Categorical4

Dataset

Description인천광역시 스마트GIS 플랫폼에 등록되어있으며 강화 나들길 정보(지점명,코스번호 등)에 대한 데이터를 제공합니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15049254&srcSe=7661IVAWM27C61E190

Alerts

Dataset has 1 (0.5%) duplicate rowsDuplicates
지점명 is highly overall correlated with 영어 지점명 and 2 other fieldsHigh correlation
영어 지점명 is highly overall correlated with 지점명 and 2 other fieldsHigh correlation
일본어 지점명 is highly overall correlated with 지점명 and 2 other fieldsHigh correlation
중국어 지점명 is highly overall correlated with 지점명 and 2 other fieldsHigh correlation
일련번호 is highly overall correlated with 코스번호High correlation
코스번호 is highly overall correlated with 일련번호High correlation

Reproduction

Analysis started2024-01-28 11:10:09.616505
Analysis finished2024-01-28 11:10:10.286291
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION 

Distinct193
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.20918
Minimum1
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-01-28T20:10:10.340583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.75
Q157
median117.5
Q3170.25
95-th percentile216.25
Maximum229
Range228
Interquartile range (IQR)113.25

Descriptive statistics

Standard deviation65.314875
Coefficient of variation (CV)0.57188812
Kurtosis-1.2000849
Mean114.20918
Median Absolute Deviation (MAD)57
Skewness-0.024489782
Sum22385
Variance4266.0329
MonotonicityNot monotonic
2024-01-28T20:10:10.444555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 2
 
1.0%
79 2
 
1.0%
71 2
 
1.0%
1 1
 
0.5%
159 1
 
0.5%
150 1
 
0.5%
151 1
 
0.5%
153 1
 
0.5%
154 1
 
0.5%
155 1
 
0.5%
Other values (183) 183
93.4%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
6 1
0.5%
7 1
0.5%
9 1
0.5%
10 1
0.5%
11 1
0.5%
12 1
0.5%
ValueCountFrequency (%)
229 1
0.5%
226 1
0.5%
225 1
0.5%
224 1
0.5%
223 1
0.5%
222 1
0.5%
220 1
0.5%
219 1
0.5%
218 1
0.5%
217 1
0.5%

지점명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
화장실
61 
버스정류장
38 
방향 주의
30 
갈림길 주의
22 
식당, 매점
21 
Other values (7)
24 

Length

Max length10
Median length9
Mean length4.6989796
Min length2

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row갈림길 주의
2nd row방향 주의
3rd row방향 주의
4th row방향 주의
5th row버스정류장

Common Values

ValueCountFrequency (%)
화장실 61
31.1%
버스정류장 38
19.4%
방향 주의 30
15.3%
갈림길 주의 22
 
11.2%
식당, 매점 21
 
10.7%
숙박 시설 9
 
4.6%
숙박, 식당 거점지 5
 
2.6%
숙박 거점지 4
 
2.0%
식당 2
 
1.0%
음수대 2
 
1.0%
Other values (2) 2
 
1.0%

Length

2024-01-28T20:10:10.561159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화장실 61
20.8%
주의 52
17.7%
버스정류장 39
13.3%
방향 30
10.2%
식당 28
9.6%
매점 23
 
7.8%
갈림길 22
 
7.5%
숙박 18
 
6.1%
시설 9
 
3.1%
거점지 9
 
3.1%

코스번호
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9387755
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-01-28T20:10:10.662653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median10
Q315
95-th percentile19
Maximum20
Range19
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.7820524
Coefficient of variation (CV)0.58176708
Kurtosis-1.2075936
Mean9.9387755
Median Absolute Deviation (MAD)5
Skewness0.03434623
Sum1948
Variance33.43213
MonotonicityNot monotonic
2024-01-28T20:10:10.765439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
14 17
 
8.7%
8 15
 
7.7%
15 15
 
7.7%
5 14
 
7.1%
1 14
 
7.1%
2 13
 
6.6%
3 12
 
6.1%
6 10
 
5.1%
18 10
 
5.1%
9 10
 
5.1%
Other values (10) 66
33.7%
ValueCountFrequency (%)
1 14
7.1%
2 13
6.6%
3 12
6.1%
4 3
 
1.5%
5 14
7.1%
6 10
5.1%
7 5
 
2.6%
8 15
7.7%
9 10
5.1%
10 10
5.1%
ValueCountFrequency (%)
20 9
4.6%
19 4
 
2.0%
18 10
5.1%
17 7
3.6%
16 8
4.1%
15 15
7.7%
14 17
8.7%
13 7
3.6%
12 5
 
2.6%
11 8
4.1%

영어 지점명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Toilet
61 
Bus Stop
36 
beware of direction
30 
beware of fork road
22 
cafeteria,restaurant
21 
Other values (9)
26 

Length

Max length33
Median length22
Mean length12.540816
Min length6

Unique

Unique4 ?
Unique (%)2.0%

Sample

1st rowbeware of fork road
2nd rowbeware of direction
3rd rowbeware of direction
4th rowbeware of direction
5th rowBus Terminal

Common Values

ValueCountFrequency (%)
Toilet 61
31.1%
Bus Stop 36
18.4%
beware of direction 30
15.3%
beware of fork road 22
 
11.2%
cafeteria,restaurant 21
 
10.7%
accommodation 9
 
4.6%
Accommodation 5
 
2.6%
The accommodation base 4
 
2.0%
restaurant 2
 
1.0%
Drinking Fountain 2
 
1.0%
Other values (4) 4
 
2.0%

Length

2024-01-28T20:10:10.863693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
toilet 61
16.3%
beware 52
13.9%
of 52
13.9%
stop 38
10.2%
bus 38
10.2%
direction 30
8.0%
fork 22
 
5.9%
road 22
 
5.9%
cafeteria,restaurant 21
 
5.6%
accommodation 18
 
4.8%
Other values (11) 20
 
5.3%

일본어 지점명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
化粧室
61 
バス停留所
36 
方向注意
30 
分かれ道注意
22 
食堂,店
16 
Other values (10)
31 

Length

Max length8
Median length7
Mean length4.1734694
Min length1

Unique

Unique4 ?
Unique (%)2.0%

Sample

1st row分かれ道注意
2nd row方向注意
3rd row方向注意
4th row方向注意
5th rowバスタミナル

Common Values

ValueCountFrequency (%)
化粧室 61
31.1%
バス停留所 36
18.4%
方向注意 30
15.3%
分かれ道注意 22
 
11.2%
食堂,店 16
 
8.2%
宿泊施設 9
 
4.6%
宿泊,食堂点地 5
 
2.6%
店,食堂 5
 
2.6%
宿泊点地 4
 
2.0%
食堂 2
 
1.0%
Other values (5) 6
 
3.1%

Length

2024-01-28T20:10:10.960201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
化粧室 61
31.1%
バス停留所 36
18.4%
方向注意 30
15.3%
分かれ道注意 22
 
11.2%
食堂,店 16
 
8.2%
宿泊施設 9
 
4.6%
宿泊,食堂点地 5
 
2.6%
店,食堂 5
 
2.6%
宿泊点地 4
 
2.0%
食堂 2
 
1.0%
Other values (5) 6
 
3.1%

중국어 지점명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
洗手
61 
公交站
36 
方向注意
30 
路注意
22 
小店,食堂
21 
Other values (9)
26 

Length

Max length8
Median length6
Mean length3.2040816
Min length1

Unique

Unique4 ?
Unique (%)2.0%

Sample

1st row路注意
2nd row方向注意
3rd row方向注意
4th row方向注意
5th row巴士客站

Common Values

ValueCountFrequency (%)
洗手 61
31.1%
公交站 36
18.4%
方向注意 30
15.3%
路注意 22
 
11.2%
小店,食堂 21
 
10.7%
住宿施 9
 
4.6%
住宿,食堂据点地 5
 
2.6%
住宿据点 4
 
2.0%
食堂 2
 
1.0%
水 2
 
1.0%
Other values (4) 4
 
2.0%

Length

2024-01-28T20:10:11.061526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
洗手 61
31.1%
公交站 36
18.4%
方向注意 30
15.3%
路注意 22
 
11.2%
小店,食堂 21
 
10.7%
住宿施 9
 
4.6%
住宿,食堂据点地 5
 
2.6%
住宿据点 4
 
2.0%
食堂 2
 
1.0%
水 2
 
1.0%
Other values (4) 4
 
2.0%

Interactions

2024-01-28T20:10:10.009745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:10:09.870752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:10:10.080725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:10:09.930689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:10:11.131744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호지점명코스번호영어 지점명일본어 지점명중국어 지점명
일련번호1.0000.4740.9800.5010.5500.501
지점명0.4741.0000.3651.0001.0001.000
코스번호0.9800.3651.0000.4020.4590.402
영어 지점명0.5011.0000.4021.0001.0001.000
일본어 지점명0.5501.0000.4591.0001.0001.000
중국어 지점명0.5011.0000.4021.0001.0001.000
2024-01-28T20:10:11.209579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지점명영어 지점명일본어 지점명중국어 지점명
지점명1.0000.9950.9920.995
영어 지점명0.9951.0000.9971.000
일본어 지점명0.9920.9971.0000.997
중국어 지점명0.9951.0000.9971.000
2024-01-28T20:10:11.502252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호코스번호지점명영어 지점명일본어 지점명중국어 지점명
일련번호1.0000.7350.2180.2240.2340.224
코스번호0.7351.0000.1600.1720.1860.172
지점명0.2180.1601.0000.9950.9920.995
영어 지점명0.2240.1720.9951.0000.9971.000
일본어 지점명0.2340.1860.9920.9971.0000.997
중국어 지점명0.2240.1720.9951.0000.9971.000

Missing values

2024-01-28T20:10:10.178332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:10:10.255351image/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

일련번호지점명코스번호영어 지점명일본어 지점명중국어 지점명
01갈림길 주의20beware of fork road分かれ道注意路注意
12방향 주의20beware of direction方向注意方向注意
23방향 주의20beware of direction方向注意方向注意
34방향 주의20beware of direction方向注意方向注意
46버스정류장20Bus Terminalバスタミナル巴士客站
57숙박 시설20accommodation宿泊施設住宿施
69화장실20Toilet化粧室洗手
710화장실20Toilet化粧室洗手
811화장실20Toilet化粧室洗手
912갈림길 주의1beware of fork road分かれ道注意路注意
일련번호지점명코스번호영어 지점명일본어 지점명중국어 지점명
186222버스정류장18Bus Stopバス停留所公交站
187223화장실18Toilet化粧室洗手
188224갈림길 주의19beware of fork road分かれ道注意路注意
189225갈림길 주의19beware of fork road分かれ道注意路注意
190226방향 주의19beware of direction方向注意方向注意
191229식당19restaurant食堂食堂
19257화장실4Toilet化粧室洗手
19357화장실4Toilet化粧室洗手
19471화장실4Toilet化粧室洗手
19579화장실5Toilet化粧室洗手

Duplicate rows

Most frequently occurring

일련번호지점명코스번호영어 지점명일본어 지점명중국어 지점명# duplicates
057화장실4Toilet化粧室洗手2