gimi9 Pandas Profiling

Dataset statistics

Number of variables	16
Number of observations	100
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	13.8 KiB
Average record size in memory	141.3 B

Variable types

Numeric	9
Categorical	4
Text	3

Dataset

Description	샘플 데이터
Author	노바코스
URL	https://www.bigdata-environment.kr/user/data_market/detail.do?id=d0979930-4b6c-11ec-a893-4d3e48f9e980

Alerts

`도로종류` has constant value ""	Constant
`측정일` has constant value ""	Constant
`측정시간` has constant value ""	Constant
`co((g/km))` is highly overall correlated with `nox((g/km))` and 3 other fields	High correlation
`nox((g/km))` is highly overall correlated with `co((g/km))` and 3 other fields	High correlation
`hc((g/km))` is highly overall correlated with `co((g/km))` and 3 other fields	High correlation
`pm((g/km))` is highly overall correlated with `co((g/km))` and 3 other fields	High correlation
`co2((g/km))` is highly overall correlated with `co((g/km))` and 3 other fields	High correlation
`기본키` has unique values	Unique
`co((g/km))` has unique values	Unique
`nox((g/km))` has unique values	Unique
`hc((g/km))` has unique values	Unique
`pm((g/km))` has unique values	Unique
`co2((g/km))` has unique values	Unique

Reproduction

Analysis started	2024-04-17 01:52:25.170144
Analysis finished	2024-04-17 01:52:32.388112
Duration	7.22 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

기본키
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.5

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	5.95
Q1	25.75
median	50.5
Q3	75.25
95-th percentile	95.05
Maximum	100
Range	99
Interquartile range (IQR)	49.5

Descriptive statistics

Standard deviation	29.011492
Coefficient of variation (CV)	0.57448499
Kurtosis	-1.2
Mean	50.5
Median Absolute Deviation (MAD)	25
Skewness	0
Sum	5050
Variance	841.66667
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	1.0%
65	1	1.0%
75	1	1.0%
74	1	1.0%
73	1	1.0%
72	1	1.0%
71	1	1.0%
70	1	1.0%
69	1	1.0%
68	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	1.0%
2	1	1.0%
3	1	1.0%
4	1	1.0%
5	1	1.0%
6	1	1.0%
7	1	1.0%
8	1	1.0%
9	1	1.0%
10	1	1.0%

Value	Count	Frequency (%)
100	1	1.0%
99	1	1.0%
98	1	1.0%
97	1	1.0%
96	1	1.0%
95	1	1.0%
94	1	1.0%
93	1	1.0%
92	1	1.0%
91	1	1.0%

도로종류
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

건기연	100

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	건기연
2nd row	건기연
3rd row	건기연
4th row	건기연
5th row	건기연

Common Values

Value	Count	Frequency (%)
건기연	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
건기연	100	100.0%

지점
Text

Distinct	50
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	800
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	[0314-0]
2nd row	[0314-0]
3rd row	[0317-0]
4th row	[0317-0]
5th row	[0318-0]

Value	Count	Frequency (%)
0314-0	2	2.0%
2805-3	2	2.0%
3113-1	2	2.0%
2510-1	2	2.0%
2512-4	2	2.0%
2513-0	2	2.0%
2613-3	2	2.0%
2613-4	2	2.0%
2614-3	2	2.0%
2802-1	2	2.0%
Other values (40)	80	80.0%

Most occurring characters

Value	Count	Frequency (%)
0	132	16.5%
1	114	14.2%
[	100	12.5%
-	100	12.5%
]	100	12.5%
2	76	9.5%
3	48	6.0%
5	28	3.5%
4	26	3.2%
8	26	3.2%
Other values (3)	50	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	500	62.5%
Open Punctuation	100	12.5%
Dash Punctuation	100	12.5%
Close Punctuation	100	12.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	132	26.4%
1	114	22.8%
2	76	15.2%
3	48	9.6%
5	28	5.6%
4	26	5.2%
8	26	5.2%
7	24	4.8%
6	16	3.2%
9	10	2.0%

Open Punctuation

Value	Count	Frequency (%)
[	100	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	100	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	100	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	800	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	132	16.5%
1	114	14.2%
[	100	12.5%
-	100	12.5%
]	100	12.5%
2	76	9.5%
3	48	6.0%
5	28	3.5%
4	26	3.2%
8	26	3.2%
Other values (3)	50	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	132	16.5%
1	114	14.2%
[	100	12.5%
-	100	12.5%
]	100	12.5%
2	76	9.5%
3	48	6.0%
5	28	3.5%
4	26	3.2%
8	26	3.2%
Other values (3)	50	6.2%

방향
Categorical

Distinct	2
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

1	50
2	50

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
1	50	50.0%
2	50	50.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	50	50.0%
2	50	50.0%

측정구간
Text

Distinct	50
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	6
Median length	5
Mean length	5.06
Min length	5

Characters and Unicode

Total characters	506
Distinct characters	84
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	구성-김천
2nd row	구성-김천
3rd row	공성-상주
4th row	공성-상주
5th row	상주-함창

Value	Count	Frequency (%)
구성-김천	2	2.0%
일반5-금성	2	2.0%
진보-석보	2	2.0%
가산-장천	2	2.0%
선산-낙동	2	2.0%
상주-낙동	2	2.0%
묘산-쌍림	2	2.0%
쌍림-고령	2	2.0%
고령-성산	2	2.0%
장수-예천	2	2.0%
Other values (40)	80	80.0%

Most occurring characters

Value	Count	Frequency (%)
-	100	19.8%
포	22	4.3%
천	20	4.0%
성	20	4.0%
동	18	3.6%
주	16	3.2%
산	16	3.2%
영	10	2.0%
경	10	2.0%
령	8	1.6%
Other values (74)	266	52.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	404	79.8%
Dash Punctuation	100	19.8%
Decimal Number	2	0.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
포	22	5.4%
천	20	5.0%
성	20	5.0%
동	18	4.5%
주	16	4.0%
산	16	4.0%
영	10	2.5%
경	10	2.5%
령	8	2.0%
청	8	2.0%
Other values (72)	256	63.4%

Dash Punctuation

Value	Count	Frequency (%)
-	100	100.0%

Decimal Number

Value	Count	Frequency (%)
5	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	404	79.8%
Common	102	20.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
포	22	5.4%
천	20	5.0%
성	20	5.0%
동	18	4.5%
주	16	4.0%
산	16	4.0%
영	10	2.5%
경	10	2.5%
령	8	2.0%
청	8	2.0%
Other values (72)	256	63.4%

Common

Value	Count	Frequency (%)
-	100	98.0%
5	2	2.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	404	79.8%
ASCII	102	20.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	100	98.0%
5	2	2.0%

Hangul

Value	Count	Frequency (%)
포	22	5.4%
천	20	5.0%
성	20	5.0%
동	18	4.5%
주	16	4.0%
산	16	4.0%
영	10	2.5%
경	10	2.5%
령	8	2.0%
청	8	2.0%
Other values (72)	256	63.4%

연장((km))
Real number (ℝ)

Distinct	41
Distinct (%)	41.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.79

Minimum	1.3
Maximum	26.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1.3
5-th percentile	1.8
Q1	5.9
median	8.1
Q3	11.2
95-th percentile	20.6
Maximum	26.7
Range	25.4
Interquartile range (IQR)	5.3

Descriptive statistics

Standard deviation	5.2486939
Coefficient of variation (CV)	0.59712104
Kurtosis	1.9642181
Mean	8.79
Median Absolute Deviation (MAD)	3.1
Skewness	1.0962367
Sum	879
Variance	27.548788
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
10.6	8	8.0%
11.2	6	6.0%
6.2	4	4.0%
6.4	4	4.0%
2.1	4	4.0%
2.4	4	4.0%
10.4	2	2.0%
10.5	2	2.0%
11.6	2	2.0%
9.2	2	2.0%
Other values (31)	62	62.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.3	2	2.0%
1.4	2	2.0%
1.8	2	2.0%
2.1	4	4.0%
2.2	2	2.0%
2.4	4	4.0%
3.8	2	2.0%
4.1	2	2.0%
4.7	2	2.0%
4.8	2	2.0%

Value	Count	Frequency (%)
26.7	2	2.0%
22.1	2	2.0%
20.6	2	2.0%
15.8	2	2.0%
14.4	2	2.0%
14.2	2	2.0%
13.5	2	2.0%
12.3	2	2.0%
12.0	2	2.0%
11.9	2	2.0%

측정일
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

20210101	100

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	20210101
2nd row	20210101
3rd row	20210101
4th row	20210101
5th row	20210101

Common Values

Value	Count	Frequency (%)
20210101	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
20210101	100	100.0%

측정시간
Categorical

CONSTANT

Distinct	1
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

0	100

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	100	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	100	100.0%

좌표위치위도((°))
Real number (ℝ)

Distinct	50
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.149875

Minimum	35.65543
Maximum	36.99828
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	35.65543
5-th percentile	35.68369
Q1	35.86035
median	36.06199
Q3	36.35882
95-th percentile	36.84888
Maximum	36.99828
Range	1.34285
Interquartile range (IQR)	0.49847

Descriptive statistics

Standard deviation	0.3619633
Coefficient of variation (CV)	0.010012851
Kurtosis	-0.60239917
Mean	36.149875
Median Absolute Deviation (MAD)	0.270825
Skewness	0.58635063
Sum	3614.9875
Variance	0.13101743
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36.07278	2	2.0%
35.99882	2	2.0%
36.33873	2	2.0%
36.40808	2	2.0%
35.67783	2	2.0%
35.70376	2	2.0%
35.73646	2	2.0%
36.73238	2	2.0%
36.59513	2	2.0%
36.35882	2	2.0%
Other values (40)	80	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
35.65543	2	2.0%
35.67783	2	2.0%
35.68369	2	2.0%
35.69757	2	2.0%
35.70376	2	2.0%
35.71373	2	2.0%
35.71695	2	2.0%
35.73116	2	2.0%
35.73646	2	2.0%
35.78841	2	2.0%

Value	Count	Frequency (%)
36.99828	2	2.0%
36.86368	2	2.0%
36.84888	2	2.0%
36.76527	2	2.0%
36.75364	2	2.0%
36.73238	2	2.0%
36.59556	2	2.0%
36.59513	2	2.0%
36.58611	2	2.0%
36.50552	2	2.0%

좌표위치경도((°))
Real number (ℝ)

Distinct	50
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	128.81689

Minimum	128.02544
Maximum	129.52365
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	128.02544
5-th percentile	128.13935
Q1	128.43655
median	128.76473
Q3	129.25885
95-th percentile	129.47131
Maximum	129.52365
Range	1.49821
Interquartile range (IQR)	0.8223

Descriptive statistics

Standard deviation	0.45586352
Coefficient of variation (CV)	0.003538849
Kurtosis	-1.3227408
Mean	128.81689
Median Absolute Deviation (MAD)	0.40097
Skewness	-0.014687378
Sum	12881.689
Variance	0.20781155
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
128.08611	2	2.0%
129.08273	2	2.0%
128.30572	2	2.0%
128.23413	2	2.0%
128.21559	2	2.0%
128.25985	2	2.0%
128.31646	2	2.0%
128.53474	2	2.0%
128.41883	2	2.0%
128.46812	2	2.0%
Other values (40)	80	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
128.02544	2	2.0%
128.08611	2	2.0%
128.13935	2	2.0%
128.15515	2	2.0%
128.16946	2	2.0%
128.21559	2	2.0%
128.23413	2	2.0%
128.25985	2	2.0%
128.30572	2	2.0%
128.31646	2	2.0%

Value	Count	Frequency (%)
129.52365	2	2.0%
129.49495	2	2.0%
129.47131	2	2.0%
129.45978	2	2.0%
129.45621	2	2.0%
129.41245	2	2.0%
129.40658	2	2.0%
129.40119	2	2.0%
129.34631	2	2.0%
129.31407	2	2.0%

co((g/km))
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3877.5735

Minimum	194.9
Maximum	16207.52
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	194.9
5-th percentile	451.0265
Q1	1493.85
median	3509.385
Q3	5206.2925
95-th percentile	9516.355
Maximum	16207.52
Range	16012.62
Interquartile range (IQR)	3712.4425

Descriptive statistics

Standard deviation	3054.9101
Coefficient of variation (CV)	0.78784068
Kurtosis	1.6306179
Mean	3877.5735
Median Absolute Deviation (MAD)	1954.195
Skewness	1.1420741
Sum	387757.35
Variance	9332475.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2124.59	1	1.0%
2120.18	1	1.0%
1438.2	1	1.0%
456.08	1	1.0%
355.01	1	1.0%
1115.67	1	1.0%
1086.57	1	1.0%
536.21	1	1.0%
570.31	1	1.0%
1699.79	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
194.9	1	1.0%
232.7	1	1.0%
266.24	1	1.0%
298.61	1	1.0%
355.01	1	1.0%
456.08	1	1.0%
523.26	1	1.0%
536.21	1	1.0%
570.31	1	1.0%
639.06	1	1.0%

Value	Count	Frequency (%)
16207.52	1	1.0%
10705.21	1	1.0%
10659.6	1	1.0%
10057.46	1	1.0%
10025.08	1	1.0%
9489.58	1	1.0%
9209.65	1	1.0%
9033.32	1	1.0%
8498.41	1	1.0%
8274.59	1	1.0%

nox((g/km))
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3938.4267

Minimum	116.04
Maximum	20680.05
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	116.04
5-th percentile	384.5175
Q1	1259.0375
median	2526.165
Q3	4566.99
95-th percentile	13090.452
Maximum	20680.05
Range	20564.01
Interquartile range (IQR)	3307.9525

Descriptive statistics

Standard deviation	4126.4558
Coefficient of variation (CV)	1.0477422
Kurtosis	3.261557
Mean	3938.4267
Median Absolute Deviation (MAD)	1515.69
Skewness	1.8363452
Sum	393842.67
Variance	17027638
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1991.43	1	1.0%
1928.61	1	1.0%
2512.12	1	1.0%
389.3	1	1.0%
293.65	1	1.0%
1082.7	1	1.0%
818.85	1	1.0%
419.57	1	1.0%
444.43	1	1.0%
1178.13	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
116.04	1	1.0%
173.26	1	1.0%
195.25	1	1.0%
220.86	1	1.0%
293.65	1	1.0%
389.3	1	1.0%
416.3	1	1.0%
419.57	1	1.0%
444.43	1	1.0%
468.08	1	1.0%

Value	Count	Frequency (%)
20680.05	1	1.0%
15835.43	1	1.0%
15638.12	1	1.0%
15450.69	1	1.0%
13787.6	1	1.0%
13053.76	1	1.0%
11894.64	1	1.0%
11571.56	1	1.0%
11162.08	1	1.0%
10953.32	1	1.0%

hc((g/km))
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	482.4748

Minimum	18.97
Maximum	1815.16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	18.97
5-th percentile	52.34
Q1	173.715
median	349.105
Q3	592
95-th percentile	1352.283
Maximum	1815.16
Range	1796.19
Interquartile range (IQR)	418.285

Descriptive statistics

Standard deviation	432.48156
Coefficient of variation (CV)	0.89638166
Kurtosis	1.1951877
Mean	482.4748
Median Absolute Deviation (MAD)	203.145
Skewness	1.337436
Sum	48247.48
Variance	187040.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
278.77	1	1.0%
254.55	1	1.0%
310.1	1	1.0%
62.18	1	1.0%
43.79	1	1.0%
147.3	1	1.0%
115.72	1	1.0%
52.79	1	1.0%
55.84	1	1.0%
168.78	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18.97	1	1.0%
22.75	1	1.0%
28.87	1	1.0%
30.75	1	1.0%
43.79	1	1.0%
52.79	1	1.0%
54.61	1	1.0%
55.84	1	1.0%
62.18	1	1.0%
69.72	1	1.0%

Value	Count	Frequency (%)
1815.16	1	1.0%
1793.0	1	1.0%
1733.64	1	1.0%
1483.22	1	1.0%
1387.49	1	1.0%
1350.43	1	1.0%
1318.55	1	1.0%
1283.68	1	1.0%
1230.89	1	1.0%
1207.06	1	1.0%

pm((g/km))
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	218.3384

Minimum	7.77
Maximum	1234.68
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	7.77
5-th percentile	21.8145
Q1	57.7175
median	121.395
Q3	213.985
95-th percentile	801.257
Maximum	1234.68
Range	1226.91
Interquartile range (IQR)	156.2675

Descriptive statistics

Standard deviation	259.56886
Coefficient of variation (CV)	1.1888374
Kurtosis	3.5794213
Mean	218.3384
Median Absolute Deviation (MAD)	77.18
Skewness	2.0114432
Sum	21833.84
Variance	67375.994
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
136.68	1	1.0%
121.98	1	1.0%
154.34	1	1.0%
22.23	1	1.0%
20.57	1	1.0%
66.4	1	1.0%
45.66	1	1.0%
22.91	1	1.0%
22.78	1	1.0%
75.43	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7.77	1	1.0%
10.72	1	1.0%
14.59	1	1.0%
20.42	1	1.0%
20.57	1	1.0%
21.88	1	1.0%
22.23	1	1.0%
22.78	1	1.0%
22.91	1	1.0%
24.25	1	1.0%

Value	Count	Frequency (%)
1234.68	1	1.0%
1032.71	1	1.0%
1014.52	1	1.0%
924.66	1	1.0%
875.11	1	1.0%
797.37	1	1.0%
769.05	1	1.0%
756.32	1	1.0%
678.36	1	1.0%
660.4	1	1.0%

co2((g/km))
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1008587.3

Minimum	47165.24
Maximum	3786611.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	47165.24
5-th percentile	102134.32
Q1	380336.72
median	877028.81
Q3	1362665.3
95-th percentile	2523647.3
Maximum	3786611.5
Range	3739446.3
Interquartile range (IQR)	982328.58

Descriptive statistics

Standard deviation	795590.35
Coefficient of variation (CV)	0.78881654
Kurtosis	0.56684448
Mean	1008587.3
Median Absolute Deviation (MAD)	490834.01
Skewness	0.98086879
Sum	1.0085873 × 10⁸
Variance	6.3296401 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
528976.52	1	1.0%
531912.48	1	1.0%
342822.32	1	1.0%
102828.94	1	1.0%
88936.57	1	1.0%
273083.44	1	1.0%
279053.3	1	1.0%
139292.59	1	1.0%
148115.62	1	1.0%
441025.1	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
47165.24	1	1.0%
60743.07	1	1.0%
68161.87	1	1.0%
78604.16	1	1.0%
88936.57	1	1.0%
102828.94	1	1.0%
134861.0	1	1.0%
139292.59	1	1.0%
148115.62	1	1.0%
167160.37	1	1.0%

Value	Count	Frequency (%)
3786611.55	1	1.0%
2777775.4	1	1.0%
2746990.87	1	1.0%
2677010.56	1	1.0%
2626712.81	1	1.0%
2518222.78	1	1.0%
2481686.5	1	1.0%
2468085.5	1	1.0%
2323059.79	1	1.0%
2227786.3	1	1.0%

주소
Text

Distinct	50
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	11
Median length	11
Mean length	10.96
Min length	10

Characters and Unicode

Total characters	1096
Distinct characters	102
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	경북 김천 구성 하강
2nd row	경북 김천 구성 하강
3rd row	경북 상주 청리 원장
4th row	경북 상주 청리 원장
5th row	경북 상주 외서 연봉

Value	Count	Frequency (%)
경북	100	25.0%
포항	14	3.5%
경주	12	3.0%
의성	10	2.5%
청도	6	1.5%
울진	6	1.5%
상주	6	1.5%
고령	6	1.5%
영천	6	1.5%
칠곡	4	1.0%
Other values (104)	230	57.5%

Most occurring characters

Value	Count	Frequency (%)
	300	27.4%
경	116	10.6%
북	106	9.7%
천	34	3.1%
성	26	2.4%
주	24	2.2%
포	18	1.6%
영	16	1.5%
동	16	1.5%
항	14	1.3%
Other values (92)	426	38.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	796	72.6%
Space Separator	300	27.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
경	116	14.6%
북	106	13.3%
천	34	4.3%
성	26	3.3%
주	24	3.0%
포	18	2.3%
영	16	2.0%
동	16	2.0%
항	14	1.8%
상	12	1.5%
Other values (91)	414	52.0%

Space Separator

Value	Count	Frequency (%)
	300	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	796	72.6%
Common	300	27.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
경	116	14.6%
북	106	13.3%
천	34	4.3%
성	26	3.3%
주	24	3.0%
포	18	2.3%
영	16	2.0%
동	16	2.0%
항	14	1.8%
상	12	1.5%
Other values (91)	414	52.0%

Common

Value	Count	Frequency (%)
	300	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	796	72.6%
ASCII	300	27.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	300	100.0%

Hangul

Value	Count	Frequency (%)
경	116	14.6%
북	106	13.3%
천	34	4.3%
성	26	3.3%
주	24	3.0%
포	18	2.3%
영	16	2.0%
동	16	2.0%
항	14	1.8%
상	12	1.5%
Other values (91)	414	52.0%

Phik (φk)
Auto

Heatmap
Table

	기본키	지점	방향	측정구간	연장((km))	좌표위치위도((°))	좌표위치경도((°))	co((g/km))	nox((g/km))	hc((g/km))	pm((g/km))	co2((g/km))	주소
기본키	1.000	1.000	0.000	1.000	0.521	0.813	0.903	0.543	0.447	0.614	0.628	0.603	1.000
지점	1.000	1.000	0.000	1.000	1.000	1.000	1.000	0.898	0.851	0.824	0.834	0.938	1.000
방향	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.210	0.160	0.000	0.000
측정구간	1.000	1.000	0.000	1.000	1.000	1.000	1.000	0.898	0.851	0.824	0.834	0.938	1.000
연장((km))	0.521	1.000	0.000	1.000	1.000	0.666	0.557	0.000	0.248	0.153	0.000	0.293	1.000
좌표위치위도((°))	0.813	1.000	0.000	1.000	0.666	1.000	0.827	0.357	0.452	0.491	0.539	0.348	1.000
좌표위치경도((°))	0.903	1.000	0.000	1.000	0.557	0.827	1.000	0.476	0.281	0.296	0.327	0.508	1.000
co((g/km))	0.543	0.898	0.000	0.898	0.000	0.357	0.476	1.000	0.766	0.822	0.727	0.925	0.898
nox((g/km))	0.447	0.851	0.000	0.851	0.248	0.452	0.281	0.766	1.000	0.902	0.910	0.895	0.851
hc((g/km))	0.614	0.824	0.210	0.824	0.153	0.491	0.296	0.822	0.902	1.000	0.935	0.825	0.824
pm((g/km))	0.628	0.834	0.160	0.834	0.000	0.539	0.327	0.727	0.910	0.935	1.000	0.735	0.834
co2((g/km))	0.603	0.938	0.000	0.938	0.293	0.348	0.508	0.925	0.895	0.825	0.735	1.000	0.938
주소	1.000	1.000	0.000	1.000	1.000	1.000	1.000	0.898	0.851	0.824	0.834	0.938	1.000

Heatmap
Table

	기본키	연장((km))	좌표위치위도((°))	좌표위치경도((°))	co((g/km))	nox((g/km))	hc((g/km))	pm((g/km))	co2((g/km))	방향
기본키	1.000	0.001	-0.018	0.332	-0.330	-0.316	-0.313	-0.301	-0.328	0.000
연장((km))	0.001	1.000	0.170	-0.040	-0.083	-0.018	-0.039	-0.006	-0.085	0.000
좌표위치위도((°))	-0.018	0.170	1.000	-0.111	-0.122	-0.087	-0.092	-0.073	-0.135	0.000
좌표위치경도((°))	0.332	-0.040	-0.111	1.000	0.453	0.375	0.395	0.233	0.462	0.000
co((g/km))	-0.330	-0.083	-0.122	0.453	1.000	0.957	0.970	0.849	0.998	0.000
nox((g/km))	-0.316	-0.018	-0.087	0.375	0.957	1.000	0.996	0.945	0.956	0.000
hc((g/km))	-0.313	-0.039	-0.092	0.395	0.970	0.996	1.000	0.929	0.967	0.151
pm((g/km))	-0.301	-0.006	-0.073	0.233	0.849	0.945	0.929	1.000	0.844	0.114
co2((g/km))	-0.328	-0.085	-0.135	0.462	0.998	0.956	0.967	0.844	1.000	0.000
방향	0.000	0.000	0.000	0.000	0.000	0.000	0.151	0.114	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	기본키	도로종류	지점	방향	측정구간	연장((km))	측정일	좌표위치위도((°))	좌표위치경도((°))	co((g/km))	nox((g/km))	hc((g/km))	pm((g/km))	co2((g/km))	주소
0	1	건기연	[0314-0]	1	구성-김천	11.4	20210101	36.07278	128.08611	2124.59	1991.43	278.77	136.68	528976.52	경북 김천 구성 하강
1	2	건기연	[0314-0]	2	구성-김천	11.4	20210101	36.07278	128.08611	2248.96	2568.48	333.6	191.08	563980.52	경북 김천 구성 하강
2	3	건기연	[0317-0]	1	공성-상주	11.9	20210101	36.35299	128.13935	1674.24	1151.86	175.36	44.02	429801.01	경북 상주 청리 원장
3	4	건기연	[0317-0]	2	공성-상주	11.9	20210101	36.35299	128.13935	1512.4	904.92	134.83	29.61	398898.16	경북 상주 청리 원장
4	5	건기연	[0318-0]	1	상주-함창	14.4	20210101	36.50552	128.16946	4359.13	4018.75	507.2	213.89	1110425.31	경북 상주 외서 연봉
5	6	건기연	[0318-0]	2	상주-함창	14.4	20210101	36.50552	128.16946	4229.04	3604.56	460.74	202.7	1083747.08	경북 상주 외서 연봉
6	7	건기연	[0410-2]	1	추풍령-김천	1.8	20210101	36.14659	128.02544	1585.83	1806.44	224.76	144.14	392841.52	경북 김천 봉산 태화
7	8	건기연	[0410-2]	2	추풍령-김천	1.8	20210101	36.14659	128.02544	1269.69	1268.78	168.67	109.31	322253.55	경북 김천 봉산 태화
8	9	건기연	[0415-1]	1	성주-대구	3.8	20210101	35.98385	128.41106	5239.9	3826.89	554.01	196.91	1346537.78	경북 칠곡 왜관 왜관
9	10	건기연	[0415-1]	2	성주-대구	3.8	20210101	35.98385	128.41106	4892.95	3655.94	523.19	209.09	1256648.28	경북 칠곡 왜관 왜관

	기본키	도로종류	지점	방향	측정구간	연장((km))	측정일	좌표위치위도((°))	좌표위치경도((°))	co((g/km))	nox((g/km))	hc((g/km))	pm((g/km))	co2((g/km))	주소
90	91	건기연	[3107-2]	1	기계-포항	2.4	20210101	36.06326	129.22771	2883.23	2054.8	283.24	110.72	750622.57	경북 포항 기계 내단
91	92	건기연	[3107-2]	2	기계-포항	2.4	20210101	36.06326	129.22771	2604.14	2298.03	308.86	177.04	658536.86	경북 포항 기계 내단
92	93	건기연	[3109-1]	1	죽장-부남	20.6	20210101	36.2488	129.04049	639.06	1002.55	110.32	66.2	170224.94	경북 청송 현동 눌인
93	94	건기연	[3109-1]	2	죽장-부남	20.6	20210101	36.2488	129.04049	723.77	1309.16	155.17	85.54	172778.18	경북 청송 현동 눌인
94	95	건기연	[3109-2]	1	현동-청운	11.2	20210101	36.28967	129.03608	523.26	416.3	54.61	26.62	134861.0	경북 청송 현동 도평
95	96	건기연	[3109-2]	2	현동-청운	11.2	20210101	36.28967	129.03608	742.63	685.2	89.34	65.02	188524.03	경북 청송 현동 도평
96	97	건기연	[3113-1]	1	진보-석보	6.0	20210101	36.59556	129.08611	819.06	561.56	79.97	28.86	213558.81	경북 영양 입암 신구
97	98	건기연	[3113-1]	2	진보-석보	6.0	20210101	36.59556	129.08611	960.2	593.51	90.44	25.74	251687.35	경북 영양 입암 신구
98	99	건기연	[3116-1]	1	녹동-영양	26.7	20210101	36.86368	129.01248	232.7	173.26	22.75	10.72	60743.07	경북 봉화 소천 서천
99	100	건기연	[3116-1]	2	녹동-영양	26.7	20210101	36.86368	129.01248	194.9	116.04	18.97	7.77	47165.24	경북 봉화 소천 서천

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Open Punctuation

Dash Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Dash Punctuation

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Interactions

Correlations

Missing values

Sample