These all metrics are revolving around visits and hits which we are getting on websites. Single page visits, Bounce, Cart Additions, Bounce Rate, Exit rate,
These all metrics are revolving around visits and hits which we are getting on websites. Single page visits, Bounce, Cart Additions, Bounce Rate, Exit rate,
We have heard the term “events” a lot of times if we are related to the field of web analytics in one way or another. This is the most basic term in web analytics.
For a social media site, when people are commenting on a picture, this event can be called as “comment”,
When people hit the play button to start a song on a music streaming site, this is a “play” event.
For an online food ordering site increasing the quantity of food items “+” or “-”, this event is can be called as “order quantity”
The maths related to events can give us an understanding of KPI, and KPI in turn tells us how our website or app is performing, what the behaviour of users on our site is, what the most liked part of our website is, and so on.
We can study it with examples like,
A social media site daily gets 5000-5500 “likes”.
An online food ordering site has 1000–1100 unique users who generally increase the quantity of food items they buy.
When the entry page and exit page are the same, this visit is called a single page visit.
A “session” is a set of activities done by a user on a website within a particular time limit.
This is the average amount of time a user spends in a single session on a website.
When a user visits only one page and then leaves the website, it is called a “bounce.”
When a user adds a product/service in cart, this hit count as a ‘Cart Addition’
For a given situation, we will understand the bounce rate and exit rate.
The bounce rate for Page A is equal to 1/4, or 25%, because no further action is taken after landing on Page A in 1 out of 4 visits.
Below is the case where three users visited a website and left the site.
The exit rate of page a=1/4 =25%, as out of four visits, only one visitor left from page A.
Exit rate of page B = 2/4 = 50%, as out of four visits, two visitors left from page B.
Exit rate of page C = 1/4 =25%, as out of four visits, once only visitor or visitors left from page C.
CTR is simply how many times your ad gets clicked after being seen.
CTR = (Clicks / Impressions) * 100
ANCOVA is an extension of ANOVA (Analysis of Variance) that combines blocks of regression analysis and ANOVA. Which makes it Analysis of Covariance.
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A method to find a statistical relationship between two variables in a dataset where one variable is used to group data.
Seaborn library has matplotlib at its core for data point visualizations. This library gives highly statistical informative graphics functionality to Seaborn.
The Matplotlib library helps you create static and dynamic visualisations. Dynamic visualizations that are animated and interactive. This library makes it easy to plot data and create graphs.
This library is named Plotly after the company of the same name. Plotly provides visualization libraries for Python, R, MATLAB, Perl, Julia, Arduino, and REST.
Numpy array have functions for matrices ,linear algebra ,Fourier Transform. Numpy arrays provide 50x more speed than a python list.
Numpy has created a vast ecosystem spanning numerous fields of science.
Pandas is a easy to use data analysis and manipulation tool. Pandas provides functionality for categorical,ordinal, and time series data . Panda provides fast and powerful calculations for data analysis.
In this tutorial, you will learn How to Access The Data in Various Ways From the dataframe.
Understand one of the important data types in Python. Each item in a set is distinct. Sets can store multiple items of various types of data.
Tuples are a sequence of Python objects. A tuple is created by separating items with a comma. They are put inside the parenthesis “”(“” , “”)””.
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