Humans and companies collect data all the time, smartphones, app logs, IoT and IIoT implementations, and others collect data mechanisms. Are collected different data kinds and formats. Data collected over regular intervals of time is termed time series data. This data, collected for specific purposes are used to understand patterns and derive insights for one […]
EDA is an approach used in data analysis in which, given a set of data of interest, looking to present the main characteristics of this set, often through visual methods (graphs). The EDA is a way used to analyze and investigate data. The data extraction and analysis seek to show facts/events recorded at a given […]
Sentiment Analysis (SA) is a field of computing for studying opinions, feelings, and emotions expressed in texts. Besides computing, other areas are included, such as statistics, natural language processing (NLP), and linguistics. The junction of these areas can be used to detect different emotional states and reveal various behavioral and attitudinal patterns. Other techniques are […]
Undoubtedly, data are the fuel of the current economy when they are transformed into reliable information. Who is responsible for such transformations? The responsible are Data Engineer, Data Analyst, Business Analyst, and Data Scientist. What do they do for it? The Data Engineer integrates data sources, building data pipelines, processing and transforms data, and stores […]
Before thinking about some Artificial Intelligence (IA) technique for applying in Competitive Intelligence (CI) is necessary to know the Business Planning (BP) of an organization where the CI will be implemented. Even using an approach as the CIbD, ignore the BP facets and their stakeholders can lead CI projects to failure. Business Analytics (BA) can […]
Python is an interpreted, object-oriented, high-level, and multi-paradigm programming language. Python is a general-purpose programming language created in 1991 by Guido van Rossum as a successor to his previous language ABC. For data analysis and interactive, exploratory computing, data visualization, and other data science operations, Python has been widely used. However, there are gaps that […]
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