Analyze research using python libraries and provide a report.
$10
Delivery in
5 days
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What you get with this Offer
What I do
Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making. Data, is collected and analyzed to answer questions. With the wealth of data provided by a data analyst, you can make intelligent decisions that improve your profitability and helping businesses operate more effectively
Gathering data
Gathering is the first step. It is the process of collecting and measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research questions and evaluate outcomes.
Assessing data
Assessing your data is the second step. When assessing, you're like detective at work, inspecting your dataset for two things: data quality & lack of tidiness. Assessing is the precursor to cleaning data.
Cleaning data
Cleaning your data is the third step. It is where fixing the quality and tidiness issues that identified in the assess step
Insight & visualization
Visualizing information is a critical part of data analysis. Being able to gain a visual understanding of information creates a solid foundation from which to base points on. To be able to see information or interpret it, it needs to be visualized. And this is the last step you will get a report of insights and data visualization.
Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making. Data, is collected and analyzed to answer questions. With the wealth of data provided by a data analyst, you can make intelligent decisions that improve your profitability and helping businesses operate more effectively
Gathering data
Gathering is the first step. It is the process of collecting and measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research questions and evaluate outcomes.
Assessing data
Assessing your data is the second step. When assessing, you're like detective at work, inspecting your dataset for two things: data quality & lack of tidiness. Assessing is the precursor to cleaning data.
Cleaning data
Cleaning your data is the third step. It is where fixing the quality and tidiness issues that identified in the assess step
Insight & visualization
Visualizing information is a critical part of data analysis. Being able to gain a visual understanding of information creates a solid foundation from which to base points on. To be able to see information or interpret it, it needs to be visualized. And this is the last step you will get a report of insights and data visualization.
What the Freelancer needs to start the work
i want the files of the raw data that need to be analyzed.
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