Hey everyone,
I am currently doing a coursework for uni and I need some help. I don't have a background in stats and this is not a statistics course so I am confused.
I have a dataset of daily air quality, which have numerous gaps - some small (one day missing), some big (over a month of data).
I want to calculate the running mean, residual and autocorrelation of the data but is this possible with so many gaps? Ive looked for quite a bit but cant find data without gaps (and i dont have time to look much further because deadline is quite soon, which is my fault lol).
thank you so much in advance.
p.s. if anyone happens to have similar data that doesnt have gaps, please let me know!
I am currently doing a coursework for uni and I need some help. I don't have a background in stats and this is not a statistics course so I am confused.
I have a dataset of daily air quality, which have numerous gaps - some small (one day missing), some big (over a month of data).
I want to calculate the running mean, residual and autocorrelation of the data but is this possible with so many gaps? Ive looked for quite a bit but cant find data without gaps (and i dont have time to look much further because deadline is quite soon, which is my fault lol).
thank you so much in advance.
p.s. if anyone happens to have similar data that doesnt have gaps, please let me know!