This is a question related to scraping a website to Google Sheets.
I am trying to scrape this website: https://www.clevelandfed.org/our-research/indicators-and-data/inflation-nowcasting.aspx
Specifically I am trying to scrape the two tables, called Monthly Inflation Nowcasting and Quarterly Inflation Nowcasting - see picturee below
I have tried IMPORTDATA,IMPORTHTML and IMPORTXML without success. Any help is greatly appreciated. Thanks.
Related
I'm trying to follow the worked out exercise given at COVID-19 Data Analysis with R - Worldwide by Yanchang Zhao which is a covid-19 related data analysis performed in R.
and during the step of loading data, I find an issue with the date format where it is suppose to print the date range in the data set as
"2020-01-22" "2020-06-15"
but when I attempt, it gives me
"2002-10-10" "2020-10-09"
as I'm strictly following the exercise script, I am confused with the origin of time being "2002" instead of "2020". Did anyone in the community has experience such issue?
Thank you!
I am trying to obtain COVID deaths for each county in the US by race and ethnicity. However, the North Carolina website does not have an option to download a .CSV file and instead houses their data in Tableau data visualizations. Any help on how to transform information in the data visualizations into an R data table would be appreciated. I need the data for every county in the state. I have tried looking at other posts on this site but haven't been able to figure them out on my own.
https://public.tableau.com/profile/ncdhhs.covid19data#!/vizhome/NCDHHS_COVID-19_Dashboard_Cases_County/NCDHHS_Dashboard_Cases2
Thank you.
Currently, we are working on an eye-tracking study and we are not quite satisfied with the analysis option of SMI’s BeGaze. Hence, I would like to ask you know good way to extract data from BeGaze, which can be processed by a handy R-package, which is still working under R 3.6.1 – not like ETRAN.
It would be great to do add AOIs manually, do heat maps, analyze saccades, fixation times, and ratios between AOIs.
We came across eyetrackingR, but we are still struggling with extracting BeGaze's data in a processable way.
Any help, tutorial, hint, etc. is much appreciated.
David
When following youtube of vamsidhar ambatipudi on Mktg analytics tutorial videos I found a few data sets which could not be tested on R 3.6,it said such data not available in 3.6,his was on R 3.2.How can I work on such Datasets in R. For example Storesales dataset, National football league, Internet sales, used cars etc. Pls help.
I am currently in the process of attempting to refine a daily sales forecast for my employer. I am generating this forecast using a time series in R with an ARIMA model, and the MAPE is currently around 12%.
I'd ideally like to be able to integrate some additional categorical variables to refine the forecast further (e.g. new product launches; promotional activity etc.) but am unsure of how best to achieve this as most examples online use numerical predictors within a regression model.
If possible, I was wondering if anyone might be able to help me out with regards to successfully incorporating non-numerical variables into my forecast? If anyone also has any additional tips about good ways to refine a daily forecast then these ideas would also be very welcome.
Thank you!