Publications by Quantargo Blog
QBits Workspace: A New Online Editor to Share and Deploy R Code
QBits Workspace: A New Online Editor to Share and Deploy R Code Today we are excited to announce the QBits Workspace to run and deploy R code in the browser. QBits enable you to run R in a serverless cloud environment and provide an easy and cost-effective way to develop, run, deploy and share data science projects at scale without the need to m...
2958 sym R (335 sym/1 pcs) 6 img
Extract or replace columns in a data frame using `$`
Columns in a data frame can be easily extracted and manipulated with the $ operator. Even new columns can be added by assigning a vector. Extract columns from a data frame with the $. Replace values of existing columns in a data frame. Add new columns to a data frame. ___$___ ___$___ <- ___ Extract columns with the $ ___$___ ___$___ <- ___ Da...
2106 sym R (873 sym/6 pcs) 2 img
Determine the size of a data frame
The size of a data frame, like the number of rows or columns, is often required and can be determined in various ways. Get number of rows of a data frame Get number of columns of a data frame Get dimensions of a data frame nrow(___) ncol(___) dim(___) length(___) Data Frame Dimensions nrow(___) ncol(___) dim(___) length(___) The number of rows ...
2430 sym R (459 sym/11 pcs) 2 img
Select first or last rows of a data frame
We often do not need to look at all the contents of a data frame in the console. Instead, only parts of it are sufficient like the top or bottom retrieved through the head() and tail() functions. Select the top of a data frame Select the bottom of a data frame Specify the number of lines to select through the parameter n head(___, n = ___) tail...
3242 sym R (2134 sym/7 pcs) 2 img
Introduction to dplyr
Learn what dplyr does Get an overview of Select, Filter and Sort Learn what Joins, Aggregations and Pipelines are What is dplyr There’s the joke that 80 percent of data science is cleaning the data and 20 percent is complaining about cleaning the data. Anthony Goldbloom, Founder and CEO of Kaggle Having clean data in any Data Science project...
3601 sym R (344 sym/3 pcs) 2 img
Select columns from a data frame
To select only a specific set of interesting data frame columns dplyr offers the select() function to extract columns by names, indices and ranges. You can even rename extracted columns with select(). Learn to use the select() function Select columns from a data frame by name or index Rename columns from a data frame select(my_data_frame, colum...
5636 sym R (3442 sym/15 pcs) 2 img
Filter data frame rows
We often want to operate only on a specific subset of rows of a data frame. The dplyr filter() function provides a flexible way to extract the rows of interest based on multiple conditions. Use the filter() function to sort out the rows of a data frame that fulfill a specified condition Filter a data frame by multiple conditions filter(my_data_...
4070 sym R (1595 sym/6 pcs) 2 img
Sort data frames by columns
To select areas of interest in a data frame they often need to be ordered by specific columns. The dplyr arrange() function supports data frame orderings by multiple columns in ascending and descending order. Use the arrange() function to sort data frames. Sort data frames by multiple columns using arrange(). arrange(, ) arrange(, , , ...) The ...
4935 sym Python (1278 sym/6 pcs) 2 img
Create a data transformation pipeline
All data transformation functions in dplyr can be connected through the pipe %>% operator to create powerful and yet expressive data transformation pipelines. Use the pipe operator %>% to combine multiple dplyr functions into one pipeline %>% filter(___) %>% select(___) %>% arrange(___) Using the %>% operator The pipe operator %>% is a s...
5452 sym R (873 sym/5 pcs) 2 img
Why data visualization is important
Data visualization is not only important to communicate results but also a powerful technique for exploratory data analysis. Each plot type like scatter plots, line graphs, bar charts and histograms has its own purpose and can be leveraged in a powerful way using the ggplot2 package. Understand the different roles of data visualization Understan...
5212 sym 12 img