UFO AND_


The purpose of this project is to analyze NUFORC data worldwhile from the last 10 years.

We apply ETL process,following by the creation of a no SQL data base,

in order identify insights and trends about the UFO sightings.

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OUR MOTIVATION


We are curious to expand the JavaScript and DOM Manipulation previously performed in the course with UFO dataset from 2010.

For as long as humans have existed there have been things in the sky.


Using Javascript-Leaflet library, We want create an interactive World Map that display a complete dataset of UFO sightings from past 10 years.

We are in 2021 and People still see things in the sky they can’t explain.


We feel interested to work with a NoSQL database. Mongo DB(Atlas) stores data in JSON-like documents. We believe this is the most natural way to store our dataset.

Ever wonder where is all of the data relating to UFO sightings are stored?

Worry no further, the data is here!

PROCESS


Initially we compiled datasets from data.world and Kaggle, but those datasets were incomplete, subsequently we performed Web Scrapping using a compiled and geocoded collection of UFO sightings from the National UFO Reporting Center (NUFORC). In addition, we used Geocoding API to complete some of missing latitude and longitude values.

ETL /NO SQL DATABSE

Using web scraping to complete our Dataset, We development an efficient ETL method for NoSQL to relational database(MONGODB ATLAS)

MONGOBD /FLASK APP

Using Python library (FLASK), We connect our the database and we defining objects and we Model relationships to extract our JSON File for Analysis

DATA INSIGHTS/PLOTS

We processed to look for data insights, doing Phython and R manipulations, we want represented our data using Leaflet, Plotly ,D3,etc.

OUTCOME/FRONT-END

We want to everyone to understand our process. The creation of friendly interface will be as selling point to future generations to expand analysis.


BACK END / ABOUT US!


It was an absolute pleasure working as team, it was a tremendous effort, a lot of positive energy! Most of all for the opportunity to meet and hang out, it was only Online but we ’re hope we get more opportunities to work together again in the future face to face.

I work in Aviation, managing the airlines global sales website campaigns from Indian sub-continent, North & South Asia to Australia across 29 country site editions in both English and translated to local language.

Beth

Phython / CRM / Analysis / Evaluation

Economist curious for technology. I Love to use a data-driven, research-based aproach to tell stories from datasets. Skilled in time management and organizational capabilities that excels ​working with teams.

Renzo

ETL / Mongo DB(Atlas) / Analysis / R / Web Designer

I manage the supply chain for a BioTech Pharmaceutical Company to get medical devices and drugs in and out of Australia and to various Hospital’s Critical Care Units across the country.

Arron

Data Colletion / ETL / Flask app / Analysis

I work in the FMCG industry, with experience in sales and food engineering.
I was drawn to analytics because it enables making informed decisions and to stop guessing!

France

Plotly / Data visualization / Evaluation / Text mining

As an International Relations and Journalism graduate, My vision is to analyse, visualise and present data and bring relevant stakeholders together, to create an environment for better evidenced based decision making.

Nicklaus

Leaflet / Data visualization / Tracing / Story telling

I am a graduate in Applied Mathematics, currently undertaking a Data Analytics certificate through Monash University.I have undertaken many applied statistics units as part of my degree.

Callum

Web scraping / Phython / Tracing / Evaluation

CONCLUSIONS


It’s pretty clear these sightings aren’t uniformly distributed, but is there a particular reason some areas are highly concentrated?.

  • Why should we use Flask for web development?

    Flask helps you understand how each component from the back-end works to get a simple web application up and running. It was ideal for smaller projects like this one.

  • Allows you to deploy this Python/ R web applications, without paying hosting, so that anyone with the link will be able to use it.

  • D3.js is an awesome JavaScript library, but it has a very steep learning curve. This makes the task of building a simple visualization more complex.

  • Time series model, to be explore ... we want to be able to predict the next ten year of UFO sightings, formulate your best estimation of the future this this data set.

CONTACT


. . .from melbourne to the world! . . .

Location:

We are melburnians!

Close Encounter

(61) 0490 934 658