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CartoDB, Big Data and the Internet of Things

Creating an account

Set you up with accounts here. This will give you a free upgrade with double the storage space and some neat features!

Creating your first map

Making maps that explore data

To get used to work with CartoDB we are first going to make a map that will help us explore crime data in Boston.

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This grouped bar chart is constructed from a CSV file storing the populations of different states by age group. The chart employs conventional margins and a number of D3 features:

• d3.csv - load and parse data
• d3.scale.ordinal - x-position encoding and color encoding
• d3.scale.linear - y-position encoding
• d3.format - SI prefix formatting (e.g., “10M” for 10,000,000)
• d3.max - compute domains
• d3.keys - compute column names
• d3.svg.axis - display axes

hydrosquall

export PATH=/usr/local/lib:/usr/local/bin:/usr/local/sbin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/X11/bin

. ~/dot/snowbash
. ~/dot/completions
genpath

export PATH="/usr/local/bin:$PATH";

export NODE_ENV="development"
export NVM_DIR="/usr/local/nvm"

hydrosquall

import os
import shutil

from nbconvert.nbconvertapp import NbConvertApp
from nbconvert.postprocessors.base import PostProcessorBase


class CopyToSubfolderPostProcessor(PostProcessorBase):
    def __init__(self, subfolder=None):
        self.subfolder = subfolder

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tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname