Pandas Profiling Report

Dataset statistics

Number of variables	13
Number of observations	6099
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	619.6 KiB
Average record size in memory	104.0 B

Variable types

DateTime	2
Categorical	2
Numeric	9

Alerts

`PT08.S1(CO)` is highly correlated with `PT08.S2(NMHC)` and 3 other fields	High correlation
`PT08.S2(NMHC)` is highly correlated with `PT08.S1(CO)` and 3 other fields	High correlation
`PT08.S3(NOx)` is highly correlated with `PT08.S1(CO)` and 2 other fields	High correlation
`PT08.S4(NO2)` is highly correlated with `PT08.S1(CO)` and 3 other fields	High correlation
`PT08.S5(O3)` is highly correlated with `PT08.S1(CO)` and 2 other fields	High correlation
`T` is highly correlated with `PT08.S4(NO2)` and 2 other fields	High correlation
`RH` is highly correlated with `T`	High correlation
`AH` is highly correlated with `PT08.S4(NO2)` and 1 other fields	High correlation
`PT08.S1(CO)` is highly correlated with `PT08.S2(NMHC)` and 3 other fields	High correlation
`PT08.S2(NMHC)` is highly correlated with `PT08.S1(CO)` and 3 other fields	High correlation
`PT08.S3(NOx)` is highly correlated with `PT08.S1(CO)` and 2 other fields	High correlation
`PT08.S4(NO2)` is highly correlated with `PT08.S1(CO)` and 4 other fields	High correlation
`PT08.S5(O3)` is highly correlated with `PT08.S1(CO)` and 3 other fields	High correlation
`T` is highly correlated with `PT08.S4(NO2)` and 2 other fields	High correlation
`RH` is highly correlated with `T`	High correlation
`AH` is highly correlated with `PT08.S4(NO2)` and 1 other fields	High correlation
`PT08.S1(CO)` is highly correlated with `PT08.S2(NMHC)` and 2 other fields	High correlation
`PT08.S2(NMHC)` is highly correlated with `PT08.S1(CO)` and 3 other fields	High correlation
`PT08.S3(NOx)` is highly correlated with `PT08.S1(CO)` and 2 other fields	High correlation
`PT08.S4(NO2)` is highly correlated with `PT08.S2(NMHC)` and 1 other fields	High correlation
`PT08.S5(O3)` is highly correlated with `PT08.S1(CO)` and 2 other fields	High correlation
`AH` is highly correlated with `PT08.S4(NO2)`	High correlation
`Month` is highly correlated with `PT08.S4(NO2)` and 2 other fields	High correlation
`Hour` is highly correlated with `PT08.S2(NMHC)` and 1 other fields	High correlation
`PT08.S1(CO)` is highly correlated with `PT08.S2(NMHC)` and 3 other fields	High correlation
`PT08.S2(NMHC)` is highly correlated with `Hour` and 4 other fields	High correlation
`PT08.S3(NOx)` is highly correlated with `PT08.S1(CO)` and 3 other fields	High correlation
`PT08.S4(NO2)` is highly correlated with `Month` and 6 other fields	High correlation
`PT08.S5(O3)` is highly correlated with `PT08.S1(CO)` and 3 other fields	High correlation
`T` is highly correlated with `Month` and 3 other fields	High correlation
`RH` is highly correlated with `Hour` and 1 other fields	High correlation
`AH` is highly correlated with `Month` and 2 other fields	High correlation
`DateTime` has unique values	Unique
`Hour` has 287 (4.7%) zeros	Zeros

Reproduction

Analysis started	2022-09-01 23:47:45.574097
Analysis finished	2022-09-01 23:47:55.809870
Duration	10.24 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

Date
Date

Distinct	341
Distinct (%)	5.6%
Missing	0
Missing (%)	0.0%
Memory size	47.8 KiB

Minimum	2004-03-10 00:00:00
Maximum	2005-04-04 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Month
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	47.8 KiB

March	1054
May	543
June	537
July	511
January	501
Other values (7)	2953

Length

Max length	9
Median length	7
Mean length	5.916871618
Min length	3

Characters and Unicode

Total characters	36087
Distinct characters	26
Distinct categories	2 ?
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	March
2nd row	March
3rd row	March
4th row	March
5th row	March

Common Values

Value	Count	Frequency (%)
March	1054	17.3%
May	543	8.9%
June	537	8.8%
July	511	8.4%
January	501	8.2%
April	484	7.9%
February	482	7.9%
November	459	7.5%
December	417	6.8%
September	401	6.6%
Other values (2)	710	11.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
march	1054	17.3%
may	543	8.9%
june	537	8.8%
july	511	8.4%
january	501	8.2%
april	484	7.9%
february	482	7.9%
november	459	7.5%
december	417	6.8%
september	401	6.6%
Other values (2)	710	11.6%

Most occurring characters

Value	Count	Frequency (%)
e	4727	13.1%
r	4616	12.8%
a	3081	8.5%
u	2779	7.7%
b	2095	5.8%
y	2037	5.6%
c	1807	5.0%
M	1597	4.4%
J	1549	4.3%
m	1277	3.5%
Other values (16)	10522	29.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	29988	83.1%
Uppercase Letter	6099	16.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4727	15.8%
r	4616	15.4%
a	3081	10.3%
u	2779	9.3%
b	2095	7.0%
y	2037	6.8%
c	1807	6.0%
m	1277	4.3%
t	1111	3.7%
h	1054	3.5%
Other values (8)	5404	18.0%

Uppercase Letter

Value	Count	Frequency (%)
M	1597	26.2%
J	1549	25.4%
A	858	14.1%
F	482	7.9%
N	459	7.5%
D	417	6.8%
S	401	6.6%
O	336	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	36087	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4727	13.1%
r	4616	12.8%
a	3081	8.5%
u	2779	7.7%
b	2095	5.8%
y	2037	5.6%
c	1807	5.0%
M	1597	4.4%
J	1549	4.3%
m	1277	3.5%
Other values (16)	10522	29.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36087	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4727	13.1%
r	4616	12.8%
a	3081	8.5%
u	2779	7.7%
b	2095	5.8%
y	2037	5.6%
c	1807	5.0%
M	1597	4.4%
J	1549	4.3%
m	1277	3.5%
Other values (16)	10522	29.2%

Weekday
Categorical

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.8 KiB

Saturday	1005
Sunday	946
Monday	899
Friday	863
Thursday	804
Other values (2)	1582

Length

Max length	9
Median length	8
Mean length	7.110345958
Min length	6

Characters and Unicode

Total characters	43366
Distinct characters	17
Distinct categories	2 ?
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	Wednesday
2nd row	Wednesday
3rd row	Wednesday
4th row	Wednesday
5th row	Wednesday

Common Values

Value	Count	Frequency (%)
Saturday	1005	16.5%
Sunday	946	15.5%
Monday	899	14.7%
Friday	863	14.1%
Thursday	804	13.2%
Tuesday	796	13.1%
Wednesday	786	12.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
saturday	1005	16.5%
sunday	946	15.5%
monday	899	14.7%
friday	863	14.1%
thursday	804	13.2%
tuesday	796	13.1%
wednesday	786	12.9%

Most occurring characters

Value	Count	Frequency (%)
a	7104	16.4%
d	6885	15.9%
y	6099	14.1%
u	3551	8.2%
r	2672	6.2%
n	2631	6.1%
s	2386	5.5%
e	2368	5.5%
S	1951	4.5%
T	1600	3.7%
Other values (7)	6119	14.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	37267	85.9%
Uppercase Letter	6099	14.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	7104	19.1%
d	6885	18.5%
y	6099	16.4%
u	3551	9.5%
r	2672	7.2%
n	2631	7.1%
s	2386	6.4%
e	2368	6.4%
t	1005	2.7%
o	899	2.4%
Other values (2)	1667	4.5%

Uppercase Letter

Value	Count	Frequency (%)
S	1951	32.0%
T	1600	26.2%
M	899	14.7%
F	863	14.1%
W	786	12.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	43366	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	7104	16.4%
d	6885	15.9%
y	6099	14.1%
u	3551	8.2%
r	2672	6.2%
n	2631	6.1%
s	2386	5.5%
e	2368	5.5%
S	1951	4.5%
T	1600	3.7%
Other values (7)	6119	14.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43366	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	7104	16.4%
d	6885	15.9%
y	6099	14.1%
u	3551	8.2%
r	2672	6.2%
n	2631	6.1%
s	2386	5.5%
e	2368	5.5%
S	1951	4.5%
T	1600	3.7%
Other values (7)	6119	14.1%

DateTime
Date

UNIQUE

Distinct	6099
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	47.8 KiB

Minimum	2004-03-10 18:00:00
Maximum	2005-04-04 14:00:00

Histogram

Histogram with fixed size bins (bins=50)

Hour
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	24
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.99294966

Minimum	0
Maximum	23
Zeros	287
Zeros (%)	4.7%
Negative	0
Negative (%)	0.0%
Memory size	47.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	6
median	12
Q3	18
95-th percentile	22
Maximum	23
Range	23
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	6.880900037
Coefficient of variation (CV)	0.5737454279
Kurtosis	-1.10497181
Mean	11.99294966
Median Absolute Deviation (MAD)	6
Skewness	-0.1144539213
Sum	73145
Variance	47.34678531
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
22	292	4.8%
23	292	4.8%
0	287	4.7%
15	286	4.7%
7	284	4.7%
12	283	4.6%
1	280	4.6%
16	280	4.6%
13	279	4.6%
14	276	4.5%
Other values (14)	3260	53.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	287	4.7%
1	280	4.6%
2	269	4.4%
3	25	0.4%
4	145	2.4%
5	260	4.3%
6	274	4.5%
7	284	4.7%
8	231	3.8%
9	246	4.0%

Value	Count	Frequency (%)
23	292	4.8%
22	292	4.8%
21	271	4.4%
20	253	4.1%
19	236	3.9%
18	250	4.1%
17	268	4.4%
16	280	4.6%
15	286	4.7%
14	276	4.5%

PT08.S1(CO)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	840
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1093.204952

Minimum	667
Maximum	1667
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.8 KiB

Quantile statistics

Minimum	667
5-th percentile	835
Q1	955
median	1070
Q3	1212
95-th percentile	1438
Maximum	1667
Range	1000
Interquartile range (IQR)	257

Descriptive statistics

Standard deviation	182.2290977
Coefficient of variation (CV)	0.1666925286
Kurtosis	-0.3126180085
Mean	1093.204952
Median Absolute Deviation (MAD)	128
Skewness	0.5033105253
Sum	6667457
Variance	33207.44405
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
973	23	0.4%
938	22	0.4%
1100	22	0.4%
988	21	0.3%
969	20	0.3%
1016	20	0.3%
1065	20	0.3%
1111	19	0.3%
984	19	0.3%
1021	19	0.3%
Other values (830)	5894	96.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
667	1	< 0.1%
683	1	< 0.1%
692	1	< 0.1%
695	2	< 0.1%
703	1	< 0.1%
729	1	< 0.1%
732	2	< 0.1%
738	1	< 0.1%
740	1	< 0.1%
741	1	< 0.1%

Value	Count	Frequency (%)
1667	2	< 0.1%
1664	1	< 0.1%
1657	1	< 0.1%
1651	1	< 0.1%
1643	1	< 0.1%
1642	1	< 0.1%
1636	1	< 0.1%
1633	2	< 0.1%
1625	1	< 0.1%
1621	1	< 0.1%

PT08.S2(NMHC)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	978
Distinct (%)	16.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	928.6655189

Minimum	440
Maximum	1504
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.8 KiB

Quantile statistics

Minimum	440
5-th percentile	601
Q1	758.5
median	913
Q3	1089
95-th percentile	1319
Maximum	1504
Range	1064
Interquartile range (IQR)	330.5

Descriptive statistics

Standard deviation	220.6129523
Coefficient of variation (CV)	0.237559108
Kurtosis	-0.6364182336
Mean	928.6655189
Median Absolute Deviation (MAD)	165
Skewness	0.2717299101
Sum	5663931
Variance	48670.07472
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
880	20	0.3%
776	19	0.3%
800	18	0.3%
896	17	0.3%
803	17	0.3%
985	17	0.3%
849	16	0.3%
931	16	0.3%
962	16	0.3%
826	16	0.3%
Other values (968)	5927	97.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
440	1	< 0.1%
449	1	< 0.1%
454	1	< 0.1%
459	1	< 0.1%
460	1	< 0.1%
465	2	< 0.1%
466	1	< 0.1%
470	2	< 0.1%
474	1	< 0.1%
476	1	< 0.1%

Value	Count	Frequency (%)
1504	1	< 0.1%
1503	1	< 0.1%
1501	1	< 0.1%
1500	1	< 0.1%
1499	1	< 0.1%
1497	1	< 0.1%
1496	1	< 0.1%
1495	1	< 0.1%
1493	1	< 0.1%
1492	2	< 0.1%

PT08.S3(NOx)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	904
Distinct (%)	14.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	820.3277586

Minimum	360
Maximum	1374
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.8 KiB

Quantile statistics

Minimum	360
5-th percentile	525
Q1	675.5
median	800
Q3	944
95-th percentile	1185
Maximum	1374
Range	1014
Interquartile range (IQR)	268.5

Descriptive statistics

Standard deviation	197.1205218
Coefficient of variation (CV)	0.2402948331
Kurtosis	-0.2934934982
Mean	820.3277586
Median Absolute Deviation (MAD)	133
Skewness	0.4288411019
Sum	5003179
Variance	38856.50013
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
705	19	0.3%
765	19	0.3%
800	19	0.3%
733	19	0.3%
846	19	0.3%
737	18	0.3%
751	18	0.3%
702	18	0.3%
793	18	0.3%
830	17	0.3%
Other values (894)	5915	97.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
360	1	< 0.1%
370	1	< 0.1%
381	1	< 0.1%
384	1	< 0.1%
396	1	< 0.1%
404	1	< 0.1%
407	1	< 0.1%
410	1	< 0.1%
415	1	< 0.1%
417	1	< 0.1%

Value	Count	Frequency (%)
1374	1	< 0.1%
1373	2	< 0.1%
1370	2	< 0.1%
1368	1	< 0.1%
1366	3	< 0.1%
1365	1	< 0.1%
1364	1	< 0.1%
1363	1	< 0.1%
1361	3	< 0.1%
1359	1	< 0.1%

PT08.S4(NO2)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1405
Distinct (%)	23.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1430.273323

Minimum	601
Maximum	2337
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.8 KiB

Quantile statistics

Minimum	601
5-th percentile	880
Q1	1192
median	1444
Q3	1662
95-th percentile	1968.1
Maximum	2337
Range	1736
Interquartile range (IQR)	470

Descriptive statistics

Standard deviation	329.5066174
Coefficient of variation (CV)	0.2303801742
Kurtosis	-0.5563477879
Mean	1430.273323
Median Absolute Deviation (MAD)	233
Skewness	-0.01741131692
Sum	8723237
Variance	108574.6109
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1488	15	0.2%
1418	15	0.2%
1552	14	0.2%
1539	14	0.2%
1580	13	0.2%
1490	13	0.2%
1307	13	0.2%
1467	13	0.2%
1382	13	0.2%
1374	13	0.2%
Other values (1395)	5963	97.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
601	1	< 0.1%
605	1	< 0.1%
621	1	< 0.1%
637	1	< 0.1%
640	1	< 0.1%
642	1	< 0.1%
647	1	< 0.1%
652	1	< 0.1%
655	1	< 0.1%
660	1	< 0.1%

Value	Count	Frequency (%)
2337	1	< 0.1%
2332	1	< 0.1%
2319	1	< 0.1%
2316	2	< 0.1%
2311	1	< 0.1%
2306	1	< 0.1%
2305	1	< 0.1%
2301	1	< 0.1%
2288	1	< 0.1%
2283	1	< 0.1%

PT08.S5(O3)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1399
Distinct (%)	22.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1007.403837

Minimum	288
Maximum	2108
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.8 KiB

Quantile statistics

Minimum	288
5-th percentile	501
Q1	756
median	979
Q3	1238
95-th percentile	1598.1
Maximum	2108
Range	1820
Interquartile range (IQR)	482

Descriptive statistics

Standard deviation	334.890392
Coefficient of variation (CV)	0.332429141
Kurtosis	-0.4601943517
Mean	1007.403837
Median Absolute Deviation (MAD)	240
Skewness	0.3322983599
Sum	6144156
Variance	112151.5747
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
836	18	0.3%
825	15	0.2%
905	15	0.2%
826	14	0.2%
949	14	0.2%
926	14	0.2%
807	14	0.2%
940	13	0.2%
891	13	0.2%
1019	13	0.2%
Other values (1389)	5956	97.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
288	1	< 0.1%
307	1	< 0.1%
310	1	< 0.1%
313	2	< 0.1%
322	2	< 0.1%
326	1	< 0.1%
328	1	< 0.1%
332	2	< 0.1%
341	1	< 0.1%
342	1	< 0.1%

Value	Count	Frequency (%)
2108	1	< 0.1%
2026	1	< 0.1%
2023	1	< 0.1%
2021	2	< 0.1%
2020	2	< 0.1%
2016	1	< 0.1%
2008	1	< 0.1%
2004	1	< 0.1%
1999	1	< 0.1%
1972	1	< 0.1%

T
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	414
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.18083292

Minimum	-1.9
Maximum	41.1
Zeros	1
Zeros (%)	< 0.1%
Negative	8
Negative (%)	0.1%
Memory size	47.8 KiB

Quantile statistics

Minimum	-1.9
5-th percentile	4.4
Q1	11.8
median	17.6
Q3	24.2
95-th percentile	34.5
Maximum	41.1
Range	43
Interquartile range (IQR)	12.4

Descriptive statistics

Standard deviation	8.858076248
Coefficient of variation (CV)	0.4872205958
Kurtosis	-0.4899169847
Mean	18.18083292
Median Absolute Deviation (MAD)	6.2
Skewness	0.3076622934
Sum	110884.9
Variance	78.46551482
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21.3	42	0.7%
20.8	39	0.6%
20.2	39	0.6%
13.5	38	0.6%
12	36	0.6%
17.8	35	0.6%
13.4	35	0.6%
16.3	35	0.6%
19.3	34	0.6%
12.3	34	0.6%
Other values (404)	5732	94.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1.9	1	< 0.1%
-1.3	2	< 0.1%
-1.2	1	< 0.1%
-0.6	1	< 0.1%
-0.5	1	< 0.1%
-0.2	1	< 0.1%
-0.1	1	< 0.1%
0	1	< 0.1%
0.2	1	< 0.1%
0.3	3	< 0.1%

Value	Count	Frequency (%)
41.1	3	< 0.1%
41	1	< 0.1%
40.9	1	< 0.1%
40.6	2	< 0.1%
40.5	1	< 0.1%
40.4	5	0.1%
40.3	4	0.1%
40.2	3	< 0.1%
40.1	6	0.1%
40	2	< 0.1%

RH
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	734
Distinct (%)	12.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48.07504509

Minimum	9.2
Maximum	88.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.8 KiB

Quantile statistics

Minimum	9.2
5-th percentile	20
Q1	34.3
median	47.9
Q3	61.45
95-th percentile	77.2
Maximum	88.7
Range	79.5
Interquartile range (IQR)	27.15

Descriptive statistics

Standard deviation	17.42229095
Coefficient of variation (CV)	0.3623978078
Kurtosis	-0.8709640956
Mean	48.07504509
Median Absolute Deviation (MAD)	13.6
Skewness	0.03965543715
Sum	293209.7
Variance	303.536222
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
47.8	21	0.3%
39.4	20	0.3%
49.4	20	0.3%
34.5	19	0.3%
44.1	19	0.3%
43	19	0.3%
42.8	19	0.3%
53.1	18	0.3%
45.9	18	0.3%
58.4	18	0.3%
Other values (724)	5908	96.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9.2	1	< 0.1%
9.3	1	< 0.1%
9.8	1	< 0.1%
9.9	2	< 0.1%
10.4	1	< 0.1%
11.1	1	< 0.1%
11.6	1	< 0.1%
12.3	1	< 0.1%
12.6	2	< 0.1%
12.7	1	< 0.1%

Value	Count	Frequency (%)
88.7	1	< 0.1%
87.1	1	< 0.1%
87	1	< 0.1%
86.5	2	< 0.1%
86	1	< 0.1%
85.7	2	< 0.1%
85.5	1	< 0.1%
85.4	2	< 0.1%
85.3	1	< 0.1%
85.1	2	< 0.1%

AH
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4949
Distinct (%)	81.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.9931203968

Minimum	0.1847
Maximum	2.0297
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.8 KiB

Quantile statistics

Minimum	0.1847
5-th percentile	0.38559
Q1	0.70425
median	0.9688
Q3	1.2666
95-th percentile	1.70552
Maximum	2.0297
Range	1.845
Interquartile range (IQR)	0.56235

Descriptive statistics

Standard deviation	0.3982713569
Coefficient of variation (CV)	0.4010302861
Kurtosis	-0.5950051195
Mean	0.9931203968
Median Absolute Deviation (MAD)	0.2801
Skewness	0.2641157285
Sum	6057.0413
Variance	0.1586200737
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.9722	5	0.1%
0.8736	5	0.1%
0.9129	4	0.1%
1.3689	4	0.1%
1.0451	4	0.1%
0.8193	4	0.1%
0.8394	4	0.1%
0.9385	4	0.1%
0.9462	4	0.1%
0.9033	4	0.1%
Other values (4939)	6057	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1847	1	< 0.1%
0.1862	1	< 0.1%
0.191	1	< 0.1%
0.1975	1	< 0.1%
0.1988	1	< 0.1%
0.2029	1	< 0.1%
0.2031	1	< 0.1%
0.2062	1	< 0.1%
0.2086	1	< 0.1%
0.2157	1	< 0.1%

Value	Count	Frequency (%)
2.0297	1	< 0.1%
2.029	1	< 0.1%
2.0224	1	< 0.1%
2.019	1	< 0.1%
2.0184	1	< 0.1%
2.0183	1	< 0.1%
2.0181	1	< 0.1%
2.0177	1	< 0.1%
2.0127	1	< 0.1%
2.012	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

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

	Date	Month	Weekday	DateTime	Hour	PT08.S1(CO)	PT08.S2(NMHC)	PT08.S3(NOx)	PT08.S4(NO2)	PT08.S5(O3)	T	RH	AH
0	2004-03-10	March	Wednesday	2004-03-10 18:00:00	18	1360.0	1046.0	1056.0	1692.0	1268.0	13.6	48.9	0.7578
1	2004-03-10	March	Wednesday	2004-03-10 19:00:00	19	1292.0	955.0	1174.0	1559.0	972.0	13.3	47.7	0.7255
2	2004-03-10	March	Wednesday	2004-03-10 20:00:00	20	1402.0	939.0	1140.0	1555.0	1074.0	11.9	54.0	0.7502
3	2004-03-10	March	Wednesday	2004-03-10 21:00:00	21	1376.0	948.0	1092.0	1584.0	1203.0	11.0	60.0	0.7867
4	2004-03-10	March	Wednesday	2004-03-10 22:00:00	22	1272.0	836.0	1205.0	1490.0	1110.0	11.2	59.6	0.7888
5	2004-03-10	March	Wednesday	2004-03-10 23:00:00	23	1197.0	750.0	1337.0	1393.0	949.0	11.2	59.2	0.7848
6	2004-03-11	March	Thursday	2004-03-11 08:00:00	8	1333.0	900.0	1136.0	1517.0	1102.0	10.8	57.4	0.7408
7	2004-03-11	March	Thursday	2004-03-11 09:00:00	9	1351.0	960.0	1079.0	1583.0	1028.0	10.5	60.6	0.7691
8	2004-03-11	March	Thursday	2004-03-11 10:00:00	10	1233.0	827.0	1218.0	1446.0	860.0	10.8	58.4	0.7552
9	2004-03-11	March	Thursday	2004-03-11 11:00:00	11	1179.0	762.0	1328.0	1362.0	671.0	10.5	57.9	0.7352

Last rows

	Date	Month	Weekday	DateTime	Hour	PT08.S1(CO)	PT08.S2(NMHC)	PT08.S3(NOx)	PT08.S4(NO2)	PT08.S5(O3)	T	RH	AH
6089	2005-04-04	April	Monday	2005-04-04 05:00:00	5	888.0	528.0	1077.0	987.0	578.0	10.4	59.9	0.7550
6090	2005-04-04	April	Monday	2005-04-04 06:00:00	6	1031.0	730.0	760.0	1129.0	905.0	9.5	63.1	0.7531
6091	2005-04-04	April	Monday	2005-04-04 07:00:00	7	1384.0	1221.0	470.0	1600.0	1457.0	9.7	61.9	0.7446
6092	2005-04-04	April	Monday	2005-04-04 08:00:00	8	1446.0	1362.0	415.0	1777.0	1705.0	13.5	48.9	0.7553
6093	2005-04-04	April	Monday	2005-04-04 09:00:00	9	1297.0	1102.0	507.0	1375.0	1583.0	18.2	36.3	0.7487
6094	2005-04-04	April	Monday	2005-04-04 10:00:00	10	1314.0	1101.0	539.0	1374.0	1729.0	21.9	29.3	0.7568
6095	2005-04-04	April	Monday	2005-04-04 11:00:00	11	1163.0	1027.0	604.0	1264.0	1269.0	24.3	23.7	0.7119
6096	2005-04-04	April	Monday	2005-04-04 12:00:00	12	1142.0	1063.0	603.0	1241.0	1092.0	26.9	18.3	0.6406
6097	2005-04-04	April	Monday	2005-04-04 13:00:00	13	1003.0	961.0	702.0	1041.0	770.0	28.3	13.5	0.5139
6098	2005-04-04	April	Monday	2005-04-04 14:00:00	14	1071.0	1047.0	654.0	1129.0	816.0	28.5	13.1	0.5028

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows