This is a collection of information on PostgreSQL and PostGIS for what I tend to use most often.
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# devtools::install_github("hrbrmstr/vegalite") | |
library(vegalite) | |
library(htmltools) | |
dat <- jsonlite::fromJSON('[ | |
{"a": "A","b": 28}, {"a": "B","b": 55}, {"a": "C","b": 43}, | |
{"a": "D","b": 91}, {"a": "E","b": 81}, {"a": "F","b": 53}, | |
{"a": "G","b": 19}, {"a": "H","b": 87}, {"a": "I","b": 52} | |
]') |
What follows is a technical test for this job offer at CARTO: https://boards.greenhouse.io/cartodb/jobs/705852#.WSvORxOGPUI
Build the following and make it run as fast as you possibly can using Python 3 (vanilla). The faster it runs, the more you will impress us!
Your code should:
- Download this ~2GB file: https://s3.amazonaws.com/carto-1000x/data/yellow_tripdata_2016-01.csv
- Count the lines in the file
- Calculate the average value of the tip_amount field.