{"id":7713,"date":"2018-10-14T08:39:38","date_gmt":"2018-10-14T13:39:38","guid":{"rendered":"https:\/\/www.carnaghan.com\/?p=7713"},"modified":"2019-02-04T21:52:29","modified_gmt":"2019-02-05T02:52:29","slug":"exploratory-data-analysis-with-watson-analytics","status":"publish","type":"post","link":"https:\/\/www.carnaghan.com\/exploratory-data-analysis-with-watson-analytics\/","title":{"rendered":"Exploratory Data Analysis with Watson Analytics"},"content":{"rendered":"
Watson Analytics provides a suite of analytics tools that are easy to use for non-technical people. The software opens the door for data preparation and exploration for managers and other personnel who would benefit from analysis but don’t necessarily have the advanced analytical background. This article details the analysis of a dataset called Laptop Prices, sourced from Kaggle<\/a>. The dataset comprises 1300 records of various laptop models, which was last updated six months ago from writing, adding additional laptop characteristics and prices. This analysis will begin with Watson Analytics starting points, which is helpful for exploration purposes. Watson provides pre-defined suggestions that help the user determine the best way to proceed with their own analysis. These starting points provide insight on the different facets of data available within the dataset. The Laptop Prices data consists of the following data:<\/p>\n