How Open Data is increasing the Use of Data Analysis

Hello, everyone! In my last article, I discussed how Artificial Intelligence can either be a boon or a bane. This totally depends on how you use the model, how you train it and what output you wish to generate. The role of AI as a boon or a bane depends much on how you train the model initially before testing the same. (To have a look at the previous article and know more about the same, click here). Today, I’ll be talking about how open data has opened opportunistic doors for businesses and researchers in order to perform data analysis. Data Analysis deals with analyzing and organizing the data in such a manner that will give you some productive results.

Data analysis comes under the big umbrella of artificial intelligence and being a subset of AI, data analysis has huge potential currently in the industry. What does data analysis actually do? The word itself is self-explanatory, that is “Data and Analysis”. It analyses the data present in the dataset (dataset is a collection of a number of records consisting of different rows and columns, based on the type of data and content present in it). Analyse here means, understanding data and generating a fruitful or a productive output to the user, which will help him/her gain some useful information which can be used further for other different purposes. Data analysis is usually a part of artificial intelligence because as data is increasing day by day, it is very important first to understand the data and then use it in a good manner.




As you know data is continuously on the rise. Everywhere around you that you encounter, you encounter some amount of data which is increasing day by day and to organize this data, analyze it and manage it, requires great tools and information. Also, if you have more data, more accuracy you tend to generate in your outputs and results. Why is it so? Having a large set of data means that there is more data with which you can train your model and you can gain more information as well in the results, but consider the case where you have fewer data. In this case, as you have less data, there are issues regarding the accuracy of the output and also the reliability of the output/result is at stake. More the data, more different variations you can get and based on that more accuracy you tend to generate.

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The question lies, how do we get more data? Don’t worry, the answer lies in OPEN DATA. Open Data means that there is a different type of data, based on different type of industry or sources which are openly available for use. Such kind of open data is either provided by government organizations, research-oriented companies, private organizations & businesses, educational institutes and universities and many other. The concept of open data means that you can use the data free of cost for your own purpose, which can be of the following:



  1. To build a tool which makes use of a large set of data.
  2. Research oriented work.
  3. A commercial product, which requires integration of different data from different sources.
  4. Gaining graphical information and analytics from the open data that is available free of cost.
  5. Open data can be used for training or testing an existing model. The model can be either an artificial intelligence based model or it can also simply be a data model.
  6. It can also serve in creating useful AI models and systems.
  7. And based on your thinking and ideas the list continue further with many more purposes as well.

OpenDataandDataAnalysis_Statement

Open Data is available on the World Wide Web in different formats (will list down the formats below) and for different uses (depending on the industry). There are huge chunks of data from the US regarding credit reports, educational student reports, from India there is data provided by the Government of India which includes data related to agro-industry, literacy rate, population and much more. All over the world, there is a number of different sources (will list down the sources below as well, where you can get open data freely) through which the data can be downloaded and made to use in an efficient manner in order to generate a productive output.

Talking about different formats of data from such open sources, they are:

  1. CSV
  2. JSON
  3. XML
  4. Open API format (if the API is available for the associated data)
  5. Excel
  6. Text
  7. And other formats which require different tools to load the data and perform data analysis





Regarding different sources for the open data, they are:

  1. Google Public Datasets
  2. AWS Public Datasets
  3. Kaggle
  4. UCI Machine Learning Repository
  5. gov (US)
  6. gov.in (India)
  7. GitHub
  8. And much more.

The above-listed sources are the major sources that are used in order to get the data for free. Depending on your use, the data can be downloaded from different sources.

With such huge open data sources and repositories, it opens a wide gateway and brings tons of opportunities for businesses, researchers and individuals wanting to use the data for their purposes and generating high quality productive and efficient output and results for themselves.

Are you looking for handling your data and do you wish someone to analyze it? If you do, contact and get in touch with Techno Code LLP now. They help you in getting all kind of IT services and will also help you in maintaining and managing your business data and generating useful results for you. Click here to get in touch with them now.

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Happy Reading! 🙂

 


Article written and submitted by: Akshay Rakesh Toshniwal

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