Intro to Data Analytics 1.1: Data Analytics in Practice Flashcards
What is Data?
information—any piece of information—such as how many flights depart Chicago O’Hare airport each month, Greenland’s annual GDP, or even how many times per week your favorite movie star goes for a run.
What is a role of an Analyst?
introduce structure into this mountain of data and transform it into usable knowledge. Analysts are key to making data the valuable commodity it has the potential to be. They extract meaning from dta
What must a data analyst do before performing any analysis of data?
They need to clean it up.
How does a data anlyst clean up data?
—modifying data formats, addressing missing values, and renaming variables to make the implicit value in the data more accessible. Cleaning data is an essential step in the analytics process and a task that analysts often spend the bulk of their time on.
What is a variable
A variable is essentially a number or characteristic that can change
Example of variable?
“name,” “age,” “city of residence,” “political affiliation,” and “number of products purchased” are all variables.
What is exploratory data analysis(EDA)?
process that helps the analyst get a feel for the data and form some expectations. Based on these expectations, the analyst then builds hypotheses that can be tested with the data
data visualization, what is it?
it’s crucial that analysts present data in a format that can be understood at a glance. Data visualization involves presenting data in a visual form designed to draw attention to points of significance.
tabular data
data is presented in a table
5 Steps of typical analysis
start with requirements, specification, and data collection. Next you move onto data pre-processing, followed by data analysis. Then you perform data visualization, and finally you communicate via storytelling.
Step 1 of typical analysis
requirements, specification, and data collection. Here, you define the problem. You specify, what are you trying to solve, what you need to achieve, and what data do you need to collect. Here you do the real measurements on the ground, and once you have the data, you import them in your favorite tool
Stwp 2 typical analysis
fix the problems in the data. This is called data pre-processing. There may be several problems in the data, like noise, unclean data, unbalanced data, duplicate, or missing values. You fix them and in step number three, you move to the real analysis.
Step 5 of typical analysis
you prepare visualizations in the form of charts and graphs to visualize the data.
Step 5 of typical analysis
you communicate to stakeholders via storytelling.
