Time Series Analysis:
1)
Which of the following
statements is correct on workflow events?
C. A predefined (or file-wait) Event Wait waits
for a file to appear at the specified location. As soon as the file appears, it
is deleted and the subsequent task will start.
2)
Perform a monthly
resample/downsample of the time series. What is the maximum value for February?
3)
Perform a daily
resample/upsample of the data. Do interpolation to fill the data. What is the
value for Jan 12, 2011?
4)
Perform a daily
resample/upsample of the data. Do a forward filling of the missing values with
limit of 2. What is the value for Jan 16,2011?
5)
How many observations have
you seen from Jan 1, 2011 to March 31, 2011?
6)
Perform a monthly
resample/downsample of the time series. What is the minimum value for May?
7)
For the XOM stock close
prices time series perform a stationarity test using ADF. What is the value of
the ADF statistic ?
8)
For the WMT stock open
prices time series perform a stationarity test using ADF. What is the p-value?
9)
For the WMT stock open
prices time series perform a stationarity test using ADF. What is the value of
ADF statistic?
10)
For the XOM stock close
prices time series perform a stationarity test using ADF. What is the p-value?
11)
For the WMT stock open
prices time series perform a stationarity test using ADF. How is the time
series behaving?
12)
Auto Correlation Function
Plot can be used for determining if a Time Series is stationary or not.
13)
Time Series data is indexed
by _______________?
14)
If the p value is > 0.05
during the ADF test of the time series then the series is said to be
___________________
15)
I can write my custom aggregation
function while resampling my time series in Pandas.
16)
What package in Python
provides features to work with Time Zones?
17)
Augmented Dickey-Fuller test
cannot be used for identifying if a Time Series is Stationary.
18)
What does freq='T' signify
while passing this parameter to the date_range() function ?
19)
If the mean and variance of
a Time Series is constant over time , it is called a _____________ Time Series.
20)
What is the function to
offset the date for daylight saving?
21)
What is the function to plot
a lag plot for a time series using python?
22)
What function in Python
helps in creating Date Time index for data that does not have date or time
values captured?
23)
When I upsample my time
series and I find many missing values , how do I fill the missing values?
24)
Down sampling is the process
of converting a ______________ to __________________ frequency.
25)
What is the function used
for plotting the values of a time series using Python?
26)
I cannot plot resampled Time
Series data in Python
27)
In pandas I can combine two
time series with different frequencies into a single time serie
28)
In Time Series data , the
observations are captured over varying time intervals.
29)
AIC Stabds for
30)
What is the default
aggregation function while resampling a time series in pandas
31)
It is a good practice to
apply Forecasting models for non-stationary time series
Answers:
|
1
|
17.37
|
|
2
|
16.09
|
|
3
|
15.97
|
|
4
|
12
|
|
5
|
16.26
|
|
7
|
0.91
|
|
8
|
0.0028
|
|
9
|
-3.89
|
|
10
|
0.99
|
|
11
|
Stationery
|
|
14
|
TRUE
|
|
15
|
Datetime
|
|
16
|
Stationery
|
|
17
|
TRUE
|
|
18
|
pytz
|
|
19
|
FALSE
|
|
20
|
every minute
|
|
21
|
Stationery
|
|
22
|
Offset()
|
|
23
|
lag_plot()
|
|
24
|
date_range()
|
|
25
|
Interpolation
|
|
26
|
High, Low
|
|
27
|
plot()
|
|
28
|
FALSE
|
|
29
|
TRUE
|
|
30
|
FALSE
|
|
31
|
Akaike
|
|
32
|
mean
|
|
33
|
FALSE
|
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