Handling Datetimes in R with "lubridate" | R Tutorial (2020)

[@AndrewMoMoney]

Putting the R in codeR legend, nice work Richard

[@RichardOnData]

Thank you, good sir!

[@shefalichandra2139]

One of the best explanations on Date and Time formats in R. The clarity with which you explain stuff is awesome! Thanks Richard :)

[@ilanafreeman4725]

This is so helpful!!! I’m doing date manipulation for the first time in my new job and this is **saving** me

[@mumtazahmad6089]

Thanks for this videos,
I have a query, How to fill gap of datetime step ? I have a time series of 1 year "2010-01-01 00:00:00" like that, In which there are some time step are missing , How to filled the gap or irregularities . Thanks

[@RichardOnData]

Could you clarify the question? Do you mean how you add hours, minutes, or seconds to something like the 00:00:00 component?
If so you could use the dhours(), dminutes(), or dseconds() functions. For example something like "2010-01-01 00:00:00 + dminutes(5)" would yield "2010-01-01 00:05:00".

[@mariaangelicacastelblanco196]

Thanks Richard, you always answer my questions, and while I study R with you also study english

[@rohdoflactem4692]

Thanks for your informative video. I am new in r and self-learning. Please I want to plot a time series graph in r. I want my x-axis have a the date as it is, ie 01-02-023 which stands for day, month and year with two weeks intervals. any guide on the syntax to use pls?

[@adetunjiademola1330]

That's fine. But you did not explain if I need to convert an entire column formally formatted as character and I also need to find the diftime
I would appreciate if you can explain this

[@keziamweresa5808]

Thank you so much. Asante sana

[@gabrielstechschulte3201]

It doesn't seem the lubridate function "hm" handles 24 hour format characters.
I.e., "2045" --> hm("2045")
Any thoughts on converting integers into 24-hour time formats? The data in the dataframe are all integers which can be converted in characters easily, but converting from "2045" --> 20:45 is more tricky. Best regards!

[@poojamahesh8594]

please help me with this
i need to categories time into early morning, morning, mid-day, afternoon, evening..please tell me the line of code for it..

[@bridgettsmith7206]

Thank you for the video. It was a good review

[@noahsalazar2738]

Wait, so does ymd_hms() essentially do the same thing as as_datetime()?

[@neelkamalCHOURASIA]

Sir, Thanks it's a great explanation, I want to calculate mean of observation data with respect to minute, hourly, and 24hrly, monthly, separately. May u suggest or help me.

[@RichardOnData]

You can create these variables with lubridate functions minute(), hour(), etc., and so using the dplyr functionality assuming a data frame called "df", a timestamp called "time", and a variable called "var":
df %>%
mutate(minute = minute(time) %>%
group_by(minute) %>%
summarize(minuteMean = mean(var))

[@moagedimawi9244]

How do I calculate number of days between two dates?

[@RichardOnData]

You can use the "difftime()" function from base R. Or alternatively create an interval object, and then use as.period(..., unit = "day").

[@johneagle4384]

Very helpful. Thank you.

[@ShiningKnowledge]

Thank you, Richard! Great tutorial! Is there a direct way to convert dates to categorical variables? E.g. dates > 2020-01-01 to be 1 and

[@fredrickomondionduru8286]

Thanks you sir.. this was in depth

[@fredrickomondionduru8286]

Thanks this was in depth

[@CBANCH]

Really helpful! Thanks a lot!

[@rodrigoruy2655]

Totally helpful. Thanks a lot!

[@maximilianrohde2724]

awesome video, thanks!

[@RichardOnData]

Glad it helped!

[@yunes7305]

Thanks 😊

[@KoOakarKo]

Thank you

[@tanushreenagar3116]

Nice

[@Moccalocca100]

you explain bad bro. Only half explainations