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2 - Data Analysis and Visualization (Distributions - shows how your data…
2 - Data Analysis and Visualization
Relationships - help us determine if Positive correlation, Negative correlation or no correlation exists
Scatter Plot
plots points along x and y axis for two values
E.g. show if there is any relationship between the size of a home and the price
Bubble Plots
plots points along x and y axis for three values. Bubble size is the third value measured
E.g. shows if there is any relationship between the size of a home, the age of the home, and the price
Comparisons - provide a static snapshot of how different variables compare and can show how different variables change over time
Bar Charts
use lines (bars) to mark single variable values. Provides a way to look up and compare values
e.g. compare the number of star ratings for a mobile application in the app store
Line Charts
use lines to show one or more variables changing over time
E.g. plotting the price of bitcoin over the past 3 years
Distributions - shows how your data is grouped or clustered over certain time intervals
Histograms
put values into buckets or bins and determines a measurement (amount, frequency duration, density, etc.)
E.g. show the distribution of test scores for a given exam
Box Plots
show a wealth of distribution. You can see metrics like lowest and highest values, outliers and where most of the values fall
E.g. show the distribution of test scores for a given exam
Scatter Plots
plot points across x and y axis for two values. Can show clustering and distribution of your data
E.g. show the return on investment (ROI) for the amount of money spent and total time invested
Compositions
Pie Charts
show how various values compare as a whole, share of the total
E.g. showing the sales figures for each region
Stacked Area Charts
show the measurement of various items over longer periods of time
show the number of products sold by different departments on a weekly basis
Stacked Bar (Column) Charts
show quantity of various items over shorter period of time
show the quarterly revenue totals for each region
Heatmaps
- represent values as color. As values change, the color also changes
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