# Frontend Test

## JSON file (_conversations.json_):

```
{
  "companies": [
    {
      "id": "58d2f242833ba7632f3eeb66",
      "name": "Soprano"
    },
    // ...
  ],
  "users": [
    {
      "name": {
        "first": "Virginia",
        "last": "Good"
      },
      "company_id": "58d2f2426403f53ae8dd2f75",
      "email": "virginia.good@hawkster.me"
    },
    // ...
  ],
  "conversations": [
    {
      "from": "celina.young@speedbolt.io",
      "subject": "laboris cupidatat consequat",
      "body": "Enim veniam ea occaecat laboris non esse nisi occaecat qui cillum laborum. Mteur esse reprehenderit sint incididunt. Fugiat dolor nostrud id tempor.",
      "date": 1464375347133,
      "to": [
        "may.hawkins@pivitol.ca",
        "marietta.whitley@polarium.me"
      ],
      "bcc": [
        "frederick.schmidt@insurety.us",
        "merle.bryant@rockyard.me"
      ],
      "tags": [
        "highlight",
        "suggestion",
        "question"
      ]
    },
    // ...
  ]
}
```

## Test:

You are part of a frontend engineering team at Front tasked with building an analytics dashboard using Javascript to present the following information about Front's customers:

* Top 5 of the most active companies in the last N months (N = 1 through 6). We measure how active a company is by their number of conversations.
* Top 5 of the most active users per company for these companies.
* Top 5 pairs of work buddies. We should look at which pair of users talk the most to each other. Be sure to look at both To & Bcc fields.
* Percent of inactive users per company in the last N months (N = 1 through 6). An inactive user is a user who has not initiated any conversation in that time period.
* Total number of conversations sent per month.

Your data team has made available a JSON API endpoint that returns data as in conversations.json.

You can either have your frontend app use the JSON file directly, or return it through a node server.


## What to send

When you are finished, please submit your work by sharing a link to a Dropbox or Google Drive folder (containing your code as well as a README file with instructions on how to run the code).

Please do not publish your code online as we intend to reuse the technical assessment.