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Xero API with R walkthrough

Xero API with R walkthrough

Getting acqainted with R -video 1

Getting acqainted with R -video 1

Getting acqainted with R -video 2

Getting acqainted with R -video 2

Getting acqainted with R -video 1 -old version

Getting acqainted with R -video 1 -old version

Actuals vs Targets Preppin Data Challenge (wk 3 2023) walkthrough

Actuals vs Targets Preppin Data Challenge (wk 3 2023) walkthrough

Making guage charts in Tableau (the fast way)

Making guage charts in Tableau (the fast way)

Generate Tableau pdfs iteratively via the Tableau Server API

Generate Tableau pdfs iteratively via the Tableau Server API

Intro to Tableau Course

Intro to Tableau Course

Gantt Chart Likert Survey Questions

Gantt Chart Likert Survey Questions

Creating a ghost blog

Creating a ghost blog

How to ggplot -Part2: Adding labels

How to ggplot -Part2: Adding labels

How to ggplot -Part1: a stacked bar -to pre-aggregate or not to pre-aggregate?

How to ggplot -Part1: a stacked bar -to pre-aggregate or not to pre-aggregate?

Wrangling a complex header with R

Wrangling a complex header with R

1.2 Assigning to objects + object classes / types

1.2 Assigning to objects + object classes / types

3 2 Saving to Excel + saving up a directory + saving to an rds file

3 2 Saving to Excel + saving up a directory + saving to an rds file

1.7 Essential functions + NA values + filtering by a boolean vector + sampling + random numbers

1.7 Essential functions + NA values + filtering by a boolean vector + sampling + random numbers

3.4 Iterative importing with a for loop vs lapply

3.4 Iterative importing with a for loop vs lapply

2.4 The datasets you already have + removing & renaming columns

2.4 The datasets you already have + removing & renaming columns

3.5 Iterative importing using purrr::map + unnest + tictoc

3.5 Iterative importing using purrr::map + unnest + tictoc

3.3 For loop demo + exporting multiple csv's

3.3 For loop demo + exporting multiple csv's

2.6 Crossing (combination) function + our first mutate + n() + set seed() + filter + handling errors

2.6 Crossing (combination) function + our first mutate + n() + set seed() + filter + handling errors

2.3 More table functions + extracting columns & values (base R vs dplyr)

2.3 More table functions + extracting columns & values (base R vs dplyr)

0.2 installing more packages

0.2 installing more packages

1.10 Intro to the date data type

1.10 Intro to the date data type

1.4 Removing objects: all except + adding code snippets

1.4 Removing objects: all except + adding code snippets

1.6 Retrieving out and overriding parts + saving new objects + silent objects

1.6 Retrieving out and overriding parts + saving new objects + silent objects

2.12 Tidy data, gather and spread (unpivoting and pivoting) + column selection

2.12 Tidy data, gather and spread (unpivoting and pivoting) + column selection

0.1 Setting up Rstudio

0.1 Setting up Rstudio

2.7 Updating columns + to a factor + pasting / concatenate-ing + arrange + cumulative sum

2.7 Updating columns + to a factor + pasting / concatenate-ing + arrange + cumulative sum

2.13 Generating dummy data + joins + filter joins + data amplification warning

2.13 Generating dummy data + joins + filter joins + data amplification warning

3.1 Writing to csv + the working directory

3.1 Writing to csv + the working directory

2.9 Operating upon different groupings in our table + lag & lead

2.9 Operating upon different groupings in our table + lag & lead

1.12 Two other object types: matrices + lists

1.12 Two other object types: matrices + lists

2.10 Aggregating with summarise + filtering within the summarise + grouped string concatenating

2.10 Aggregating with summarise + filtering within the summarise + grouped string concatenating

2.1 Tibbles / tables intro

2.1 Tibbles / tables intro

1.11 Intro to the factor data type

1.11 Intro to the factor data type

1.8 Some more functions + filtering strings

1.8 Some more functions + filtering strings

1.1 IDE intro + commenting + shortcuts

1.1 IDE intro + commenting + shortcuts

1.5 Mathematical operators + over riding objects + vector recycling + logical tests

1.5 Mathematical operators + over riding objects + vector recycling + logical tests

2.11 Some more summary functions + handling NA values and adding one in

2.11 Some more summary functions + handling NA values and adding one in

1.9 unique + duplicated + any + n_distinct + filtering by sets

1.9 unique + duplicated + any + n_distinct + filtering by sets

2.2 Pipes + essential table functions + indenting

2.2 Pipes + essential table functions + indenting

1.3 Tidying the workspace + number sequences + getting data into R + shortcuts

1.3 Tidying the workspace + number sequences + getting data into R + shortcuts

2.8 Conditional mutates with if_else and case_when + the or operator "|"

2.8 Conditional mutates with if_else and case_when + the or operator "|"

2.5 Viewing table objects + selecting columns + uncounting rows + tidy data mindset

2.5 Viewing table objects + selecting columns + uncounting rows + tidy data mindset

Run through of personal finances dashboard built using R (Shiny)

Run through of personal finances dashboard built using R (Shiny)

Wrangling the Tableau Prep example data with Power BI's PowerQuery

Wrangling the Tableau Prep example data with Power BI's PowerQuery

Tableau Prep -Part 4 (generating dummy data)

Tableau Prep -Part 4 (generating dummy data)

Tableau Prep -Part 5 (creating a bump chart + replacing the datasource)

Tableau Prep -Part 5 (creating a bump chart + replacing the datasource)

PowerBI intro in 15 minutes (using a Tableau dataset)

PowerBI intro in 15 minutes (using a Tableau dataset)

Tableau Prep -Part 1 (importing and wrangling)

Tableau Prep -Part 1 (importing and wrangling)

Tableau Prep -Part 3 (utilising R)

Tableau Prep -Part 3 (utilising R)

Tableau Prep -Part 2 (appending, joining and removing duplicates)

Tableau Prep -Part 2 (appending, joining and removing duplicates)

Converting the Tableau Certification Directory to Excel

Converting the Tableau Certification Directory to Excel