My customer has a large excel data where he has applied a complicated set of filters in Excel. I was using readxl::read_excel to read the data into R but I found it was reading in every row and ignoring the pre-filters that were set in Excel.
Is there any way to preserve the column filtering set in Excel when loading data into R?
Related
Suppose I have an existing data frame that I want to use in a reprex. Is there a way to generate the R code necessary to recreate the data frame?
That is, say I’ve read in a data table from a CSV file and use dplyr::head() to get its first five rows. I want the code to create this 5-row table.
How do i collate monthly data held in different excel sheets in R? i want to import only a few sheets of a workbook. and then use R to aggregate and visualize monthly trend?
The question doesn't have any example of datasets, but I guess you are trying to ask below set of things:
Task1. Reading data from various sheets of an excel.
Task2. Collate the data in one data frame say masterdata
Task3. draw some plots for required fields
Apporch: you can import multiple sheets into a list and then combine list to get masterData, A brief discussion is given in the existing question refer link below:
Read all worksheets in an Excel workbook into an R list with data.frames
It's the first time I deal with Matlab files in R.
The rationale for saving the information in a .mat file type was the length. (the dataset contains 226518 rows). We were worried to excel (and then a csv) would not take them.
I can upload the original file if necessary
So I have my Matlab file and when I open it in Matlab all good.
There are various arrays and the one I want is called "allPoints"
I can open it and then see that it contains values around 0.something.
Screenshot:
What I want to do is to extract the same data in R.
library(R.matlab)
df <- readMat("170314_Col_HD_R20_339-381um_DNNhalf_PPP1-EN_CellWallThickness.mat")
str(df)
And here I get stuck. How do I pull out "allPoints" from it. $ does not seem to work.
I will have multiple files that need to be put together in one single dataframe in R so the plan is to mutate each extracted df generating a new column for sample and then I will rbind together.
Could anybody help?
I want to read in to R an EXCEL tab that has the following content configuration into a more Tidy data format. The next picture shows how I want the content to look like once all of the code has run. The table below just represents file that will come in daily. Each day, the numbers and the date will change, but the format will be exactly the same. So I need to learn how to automate the extraction of the pieces of this format into R from EXCEL. The end goal is to stack the daily data into a format that can be exported to Tableau.
The image above (figure 2) represents the final format I want to arrive at. I know there are several packages to read in EXCEL data into R, however I cannot figure out how I can possibly automate this tasks with readr or readxl etc... I am at least hoping some one has faced this type of problem before and can give me general directions.
I am trying to read in data from a data visualization website (Qlik). Table access requires my username and pw. It also requires me to select a date range for the data. Is there a way I can read this kind of data into R instead of having to download the data each time into excel files and then reading them into R?
Thanks!