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UFO Analysis with JavaScript

I. Overview of Project

Background

Dana is a data journalist writing about her hometown McMinnville, Oregon. Her hometown is famous for UFO sightings and even has an annual gathering of UFO enthusiasts. For this project, I have been helping her analyzing and scraping a set of data in JavaScript format. We have created an app to deploy JavaScript functions to loop through and filter the data, and then created a HTML file to populate the data table using JavaScript. On the HTML file, we added a filter button to filter data on date. Finally, we also used Bootstrap and CSS stylesheet to customize the visualization.

Purpose

The purpose of this challenge is to provide a more in-depth analysis of UFO sightings by allowing users to filter for multiple criteria at the same time. Besides date, I also added city, state, country and shape. In addition, I have removed the button and set the form to update automatically when the input of filter changes on the website.

II. Results -- Description of how to perform a search

Structure:

fullscreenshot

  • The very top part is a navigation bar with text “UFO Sightings”.
  • Right below vav bar is a jumbotron written “The Truth Is Out There” with an image background.
  • Next section has two parts of content: left section has a header “UFO Sightings: Fact of Fancy?” and a sub-header “Ufologists Weigh In”; right section contains a paragraph of information.
  • The bottom left section is the filter input form, where users can input one or multiple filters by date, city, state, country and shape.
  • The bottom right section is the data table, which updates with filter inputs.

Instruction:

Click HERE to access to the website.

  • In Filter Search section, input desired date，the table will update to results by that specific date.

    filter1

  • OR, enter any other one or any multiple filters, press Enter, the data table will update to filtered data.

    filter1 2

  • Click top of the page “UFO Sightings” in nav bar to reset the filter form and data table.

    Screen Shot 2021-08-28 at 4 59 41 PM

III. Summary

Drawback

The users must have basic knowledge of the data before conducting a search. For example, the user must know the available date, cities, states, countries, and shapes in the dataset in order to get data returned. If the users randomly type a city that she/he wants to search for, for instance, Honolulu, she/he will get nothing returned becasue Honolulu is not available in the dataset.

Recommendations

  • To address above drawback, it would be better if there’s a drop-down menu/list for each filter. Therefore, the users will know available elements within each filter to avoid typing invalid input.
  • It would be a more optimal user experience if there is a button at the bottom of Filter Search Section to confirm the search action.
  • Another recommendation for development in the future is that we can remove the Filter Search Section and implement drop-down filter menu on the table header. Each filter has a drop-down, users would be able to filter the data directly in the table.