Extracting and importing untidy Excel tables into R to wrangle for Tableau export -


i want read in r excel tab has following content configuration more tidy data format. next picture shows how want content once of code has run. table below represents file come in daily. each day, numbers , date change, format same. need learn how automate extraction of pieces of format r excel. end goal stack daily data format can exported tableau.

current excel tab content

final tidy format

the image above (figure 2) represents final format want arrive at. know there several packages read in excel data r, cannot figure out how can possibly automate tasks readr or readxl etc... @ least hoping 1 has faced type of problem before , can give me general directions.


Comments

Post a Comment

Popular posts from this blog

angular - DownloadURL return null in below code -

when change file updated in firebase storage when try downloadurl show null. filechange(event: any) { const imagefolder: string = this.employee.id; const filelist: filelist = event.target.files; const file: file = filelist[0]; const storageref = firebase.storage().ref().child(`${imagefolder}/profile.jpg`).put(file); console.log(storageref.snapshot.downloadurl); } the put() asynchronous. if want url after file uploaded have this: firebase.storage().ref().child(`${imagefolder}/profile.jpg`).put(file).then((snapshot) => { storageref = snapshot.downloadurl: console.log(snapshot.downloadurl); });
Read more

python 2.7 - Given three nested dictionaries, sort the top two nested dictionaries from a value in the innermost dictionary? -

i trying sort both outermost dictionary , "middle" dictionary value of "cal" (highest first) in innermost dictionary. accomplish using ordereddict. given example below, trying accomplish: for foods, order food subtypes highest calorie content (i.e - pizza, pesto should appear first because has higher calories when compared cheese. order foods highest calorie content (i.e - pizza should appear first has subtype more calories other food) i have following data: foods = { "apple": { "red": { "cal": "1", "taste": "4" }, "green": { "cal": "2", "taste": "6" } }, "pizza": { "pesto": { "cal": "200", "taste": "9" }, "cheese": { ...
Read more