Chart Stack

A simple repo to demo use of data from mongoDB to plot charts using D3.js with a rest api with express.js

Dependencies

NodeJS runs the server-side of the app. mongoDB is used for storing data to be displayed on graphs.

1. mongodb

2. express.js

3. d3.js

Setting up database

Make sure you initialize mongoDB before running.

Windows

1. Refer to Detailed installation guides to set up a mongoDB instance.

2. Via web console management create a database called d3nodeexpressmongoDB create user: mongouser password: d3Mongodb You will be using this in ./config/configmongo.js mongodb://mongouser:d3Mongodb@10.0.0.19:27017/d3nodeexpressmongoDB

3. Via web console management create a collection named populations

4. Via web console management ingest the sample data provided to seed 'populations' collection

5. Make sure mongodb can accept remote connections. http://www.mkyong.com/mongodb/mongodb-allow-remote-access/ If it is just for local dev use just comment out bind_ip AT YOUR OWN RISK

$ vim /etc/mongod.conf

# /etc/mongod.conf

# Listen to local, LAN and Public interfaces.
bind_ip = 127.0.0.1,your.mongoserver.lan.ip.address

/etc/init.d/mongodb restart

Project Setup and Running Server

1. Initial Setup

git clone https://github.com/yosiasz/d3-node-express-mongoDB.git
cd d3-node-express-mongoDB/
npm install -g nodemon
npm install

2. Running the server

This will use node to launch the server (this will also seed your mongoDB using populations.json):

npm start

Leave the server running, and now you can access http://localhost:5000/.