Performing statistical analysis using numpy
Function cal() in module stats.py checks if the input list has 9 elemnts, if yes, it arranges the list in a numpy array 3x3 matrix and performs a statitical analysis(mean,variance,standard deviation, maximum, minimum, sum) of the elements in in matrix (row-wise, column-wise, flattened matrix), if not, throws a Value error.
The inspiration was taken from the course project on freeCodeCamp.org
In this project, we will visualize and make calculations from medical examination data using matplotlib, seaborn, and pandas. The dataset values were collected during medical examinations.
The inspiration was taken from the course project on freeCodeCamp.org
In this project we will visualize time series data using a line chart, bar chart, and box plots. We will use Pandas, Matplotlib, and Seaborn to visualize a dataset containing the number of page views each day on the freeCodeCamp.org forum from 2016-05-09 to 2019-12-03. The data visualizations will help understand the patterns in visits and identify yearly and monthly growth.
The inspiration was taken from the course project on freeCodeCamp.org
Analyze demographic data using Pandas given a dataset of demographic data that was extracted from the 1994 Census database.
The inspiration was taken from the course project on freeCodeCamp.org
Anaylze a dataset of the global average sea level change since 1880. Use the data to predict the sea level change through year 2050.
The inspiration was taken from the course project on freeCodeCamp.org