Go Back

Stream 2 Final Project: Avengers Data Dashboard


David Gunner (Jnr)

Oct 10, 2017



The Avengers data dashboard is just that. It is a dashboard to display different types of Avengers information in the form of graphs, bar charts, pie charts, table and more, using technologies such as Flask, DC.js, D3.js, Python, MongoDB and more.

Live version of the Avengers data dashboard is available for viewing on Heroku:

Here is a link for the data I used in my project - CSV Data source:


I was trying to think of how unit tests fit into this project so that I could try to use them to test the dashboard data, I am afraid I came up short on this occasion, the only way I thought I could of perhaps tested the functionality would of been to use and test some manual dummy data before using the actual JSON data, but by the time I realised this, it was too late, and due to lack of time I did not have time to retract on progress and make some.

I did however spend a lot of time testing the responsive nature of the dashboard in multiple browsers, and different mobile phones and tablets. This actually led me too a bug on IOS mobile devices, I realised that I had my media breakpoints set to a min-width of 400px, the device was actually smaller than this and so the dashboard was ugly and didn’t render as expected. A few adjustments to the css solved this issue.

One thing I can also say due to lack of time, I did not have chance to make all of the actual SVG elements of the charts and graphs responsive, although I think if I had of had time I would of probably used a javascript approach to redraw the elements on the browser resize using a function of some sort.

I initially had trouble with the intro.js tooltips also as on mobile devices the first tooltip no matter where positioned seem to always render off screen, I managed to solve this by changing the div element the step was set up in and now it seems to work fine.

I unfortunately ran in to problems with D3/DC.js I was hoping to get my bar charts and graphs linked up to the table so that it would filter with the other data. Unfortunately due to time constraints I will not be able to have that feauture right now so I have for now moved the table into its own html page, although that currently now contains a bug where if you run the intro.js site introduction it will display as if it was on the dashboard, really the functionality should be removed but I do not have time, so I am documenting the bug. I also wanted to make the charts and graphs responsive theirself, instead of just the container being responsive. I thought the keen dashboard might of helped with this but unfortunately it did not.


Running the MongoDB Server

• Firstly, you will need MongoDB installed - Download MongoDB here if you need it

• You should then simply be able to run this command in a terminal/cmd window:

```'mongod --config [PATH]\_mongoDB_data\_config\_mongodb_config.conf'```

NOTE: You will need to ammend the path as neccessary to suit where you extracted the file too.

Uploading the data for the database to work

Run mongoDB by running the command mongod in your Terminal/Command Prompt.

• Leave the prompt running as it is and open another Terminal/Command Prompt window.

• Copy the csv file to the same location as the directory opened in the second terminal window.

• Enter the following command:

```'mongoimport  -d avengers -c avengers_project --type csv --file avengers.csv --headerline'```

• The database created: `avengers`

• The collection name: `avengers_project`

• The data type to be uploaded: `csv`

• The filename: `\_csv_data\\avengers.csv`

• Treat the first record imported as the field names: `--headerline`

NOTE: It will take a few minutes to upload the data. You will see a progress indicator in the terminal letting you know how much data has approximately been uploaded.

Running the requirements.txt to install needed packages

For virtualenv to install all files in the requirements.txt file.

• `cd` to the directory where `requirements.txt` is located

• activate your `virtualenv`

• run: `pip install -r requirements.txt` in your shell



Click the start tour button in the sites navigation for a full tour on each element and what you can do with it.


Here is a link for the data I used in my project - CSV Data source:


• Code Institute

• Andrew Flowers (CSV data)