Tableau is an amazing, powerful and one of the fastest growing data visualisation tool that is used in the Business Intelligence Industry today. Its prime job is to simplify and represent the raw data into the very easily understandable format.
Data analysis is very fast and smooth with this fab tool Tableau . The visualisations created are in the form of various representations like dashboards and worksheets. The data that is created using Tableau can be understood and used by professionals at any level in an organisation. It even allows a non-technical user to create a customised dashboard that can be really fruitful.
The main features that Tableau offers includes :-
In our software development world, we often need something which can
Pandas: First Step For Data Analytics
In this Blog, we'll use the following shorthand:
df | Any pandas DataFrame object
s | Any pandas Series object
Also, a quick reminder — to make use of the commands listed below, you'll need to first import the relevant libraries like so:
import pandas as pd import numpy as np
Use these commands to import data from a variety of different sources and formats.
NumPy is the library that gives Python its ability to work with data at speed. Originally, launched in 1995 as ‘Numeric,’ NumPy is the foundation on which many important Python data science libraries are built, including Pandas, SciPy, and sci-kit-learn.
It’s common when first learning NumPy to have trouble remembering all the functions and methods that you need.
Key and Imports
In this cheat sheet, we use the following shorthand:
arr | A NumPy Array object
You’ll also need to import NumPy to get started:
What is Kafka: Kafka is a messaging system built by LinkedIn. It is written in Scala. It is designed by Linkedin when needed a messaging system for its distributed architecture.
80% of the work in data
is upfront, below the surface & behind the scenes.
It slows you down & costs you money.
Our mission is to take this pain away,
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