ACF & PACF Code Example : Time Series Talk

We look at how to generate ACF and PACF plots for ice cream data and stock price data!

Code and data available at my GitHub:

[JawadLion]

You are ridiculously helpful and so underrated.

[shrutipandey]

Thank you so much for uploading these lectures, I didn't understand time series this clearly up until now

[kondurusri]

You are amazingly excellent. I am revising the topics that I learnt long back about 30 years back . u can guess my age

[MrCEO-jwvm]

I started this playlist out of curiosity to get an introduction to time series analysis since it's a term I have been hearing for a while now. Now I feel like I will finish this playlist in no time. You explain things really well, and you have just showed me awesomely how to do the code of time series analysis which I understood very well. Great job, man!! We very much appreciate it!

[SauravKumar-cxt]

HI recently I started my study about time series and I did not find any material where multiple kinds of ACF and PACF have been discussed. I found it very difficult to corelated my ACF and PACF plot but after reading and watching things from multiple places, I am able to figure out about my plot. I request you to bring more example so that people can corelate there problem because the way you explained the plot is very easy.

[acb_gamez]

Worth noting that pandas as a diff() function to simplify making a difference column. To replace what was done in the notebook: df["FirstDifference"] = df.Close.diff(periods=1). This will leave you with the first row containing Nan values, so either call dropna() or fillna(0.0) on the output.

[rajanalexander]

Worth noting that the annual ice cream production's periodicity expresses itself in the ACF with peaks at multiples of 12 (months): 12, 24, 36, . . . .

[NFZ]

Thank you for posting such practical videos and examples. Appreciate you!!!

[alithmajok]

Very significant to my thesis thanks for your presentation.

[zsomborveres-lakos]

I like your content and I leave a comment for the algorithm :)

[hosseinmortazavi]

@ritvikmath thanks for great movie it clearify the previous video alot. I am wondering as the Ice Cream Dataset is not stationary why in the video you did not statinarize it first like the stock price dataset first?

[mariasmoczynska]

Thank you so much for these videos! incredibly helpful

[anilnampally]

Super sir...will be of great help if you do vedios on time series econometrics modeling..

[fatriantobong]

it's like partial derivation concept, pacf is disregarding the confounding effects

[nickkoprowicz]

Why didn't you have to remove the seasonality before plotting the acf and pacf in the ice cream example?

[Raaj_ML]

Why did you not make the Ice cream data stationery ? It had seasonality.

[walterreuther]

10:56 Seems very non stationary with regards to covariance, probably this is why we're getting significant lags in acf and pacf, right?

[nagusameta]

I got one line each for the PACF and ACF who are above the error bands, while the other ones are literally drowning in the blue area, is that good enough to do AR(1) and MA(1)? It's a dataset which have dates for project implementation through the months of a year, where some are just 0 meaning there was no project in that month

[BBB_]

You mention tools other than ACF and PACF to better define the order of the model(s). These other tools were not covered in previous videos correct?

[_isDev]

before plot ACF or PACF we must make the time series stationary? Awesome videos!