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We live in the era of big data. With the growth of the internet, data is rapidly growing in a huge amount and with high variability. Big data processing could give you a headache because it naturally takes a lot of running time. Apache Spark (or Spark) is one of the popular tools to process big data.

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JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is based on a subset of JavaScript language (the way objects are built-in JavaScript). JSON is often used when data is sent from a server to a web page so that JSON data processing in data analytics becomes inevitable.

Dealing with spatial data in the spatial analysis might be cumbersome. Spatial data is usually stored in a form of points, lines, or polygon coordinates that are representable in a map. Thankfully there is a python package called GeoPandas purposed to work with geospatial data in python easier.

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What is Geopandas?


The tech industry is growing rapidly. As it is growing, there is a lot of discussions and articles related to tech published. 3 topics are interesting for me to see:

  1. Women Developers
  2. Work Overtime
  3. Career Shifting

I will discuss these topics by asking each question on every topic. To answer such questions, I will mainly use the StackOverflow Survey 2020 data. The survey is participated by around 60,000 developers from around the world. It contains questions related to multiple topics of software developers such as education, career, tech culture, etc.

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Women Developers

Diversity is important in tech companies as it brings everyone’s…

Eka Aditya Pramudita

A Data Science Enthusiast

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