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Why Storytelling using Data is important? As a person who learn in data science section that means scientist is data miner, wearing the miner's hat. They are responsible for sourcing, acquiring, handling, and preparing the data. This means demonstrating the technical skills to work with data sets large and small and of many different types. Once…

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Storytelling with Data

Why Storytelling using Data is important? As a person who learn in data science section that means scientist is data miner, wearing the miner's hat. They're responsible for sourcing, acquiring, handling, and preparing the data. This means demonstrating the technical skills to work with data sets large and small and of many different types. Once acquired, the data scientist is responsible for examining and preparing the data. In this proposed skill set model, it is the data scientist who will hold the key statistical and mathematical knowledge and they will apply this to undertake exploratory visual analysis to learn about the patterns, relationships, and descriptive properties of the data. For the First Data I'll visualizing first data about Spatial Data Repository (satellite data and more) Data on the environment, climate, demographics, conflict and more.

By Reuben Pereira (updated a year ago (Version 5) https://www.kaggle.com/reubencpereira/spatial-data-repo And the Second Data I will go through the whole process of creating a machine learning model on the famous Titanic dataset, which is used by many people all over the world. It provides information on the fate of passengers on the Titanic, summarized according to economic status (class), sex, age and survival.

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Why Storytelling using Data is important? As a person who learn in data science section that means scientist is data miner, wearing the miner's hat. They are responsible for sourcing, acquiring, handling, and preparing the data. This means demonstrating the technical skills to work with data sets large and small and of many different types. Once…

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