In this series, I am going to write about 3 things which made my jaws drop recently.

1. Goodness of fit - a magic number
2. Looking at a data, how can we answer questions on whether there is an association between various types of data. For eg: in an office, is there an association between gender and salary? In a real estate market, is there an association between the age of the cars and its prices? Is there an association between literacy and voting?
3. Some very basic definitions in statistics - which might fall into two or three blog posts.

This blog is written in continuation to an earlier blog on looker. While we got introduced to the basic features of looker on the first blog, here we will be dealing with multiple data sources. We will see how we can join two data sources and use the resultant data for visualisation.

This blog is meant to be a supplementary reading material for the below youtube videos on Docker. However, it can also be used as a standalone reading material to understand docker if you are new to it.

• Docker for Developers - English
• Docker for Developers - Malayalam

Introduction

Are you a first time manager or do you get asked a lot of questions at work?

• Where are the allocated budgets being used?
• How much money have we burnt?
• Where are we with our targets?
• What percentage of our company assets are with remote workers?
• What is the gender ratio in your organisation?
• What was our revenue last week?

I used to have this habit of writing quick reference notes during my college days and I am trying to do it for code these days. But my laziness stops me from doing that & I post these on my blog itself. For a change, thanks to my laziness. This time I am trying out something trendy and colorful instead of my regular cheat sheets:) Carbon!

R, Python, Tableau, Qlikview — what to chose and why & when.

I am a very lazy developer. Because I code mainly for my own apps, I’m very lazy to go back and refactor my codes.

Does something like this happen to you?

In this covid season, thought of sharing some tips and sample codes on Data Wrangling. After getting a glance of Google Colab, my go to language for data wrangling has been Python. This blog hence uses Colab and Pandas on Python for data wrangling.

In the new app that I am developing, I am using Room to store data. Room is an abstraction over SQLite. As a relatively new developer on Android, one of the difficulties that I faced with Room was to view the saved data. The data is saved on our phone and how do we view this DB? The post is a documentation on how we can view a DB created using Room.

Does technology distract you? As far as I am concerned, the answer is yes. Since the time I completed two nano degrees (one on Android Basics and another on Data Analysis) from Udacity, I keep switching between Data and Android. I recently got another scholarship,but considering the advices of my well-wishers, I have finally decided to let go of the scholarship and focus on Android alone. Also, listening to my inner voice to stay focused. ;)

Hello World, I have been blogging since Sept, 2009. I started blogging by jotting down my personal world views in my mother tongue, Malayalam. The first platform I used was blogger. Even now, blogger is one of my favourite platforms for casual blogging and I still have my lastest blog posts in Malayalam going into blogger. I gradually started writing on medium with my semi-technical blogs, which focussed on a bit of tech and more of techno-managerial stuffs. Those blogs were used as a medium of self expression and the only targetted audience were probably my friends and my close circle in tech and never made an attempt to promote them to the next level.