ANOVA: We can use ANOVA to determine whether the means of three or more groups are significantly different. Here’s an example of how to perform ANOVA on the Iris dataset using Python Pandas and the ANOVA function from the scipy.stats module: Output : Reject null hypothesis: at least one group mean is different If you …
ANOVA Example using Python Pandas on Iris Dataset Read More »
In statistics, the null hypothesis is a statement that there is no significant difference between a set of variables or samples. The purpose of a hypothesis test is to either reject or fail to reject the null hypothesis based on the results of the test. In other words, the null hypothesis is the default assumption …
What is Null Hypothesis, with Examples in Python Pandas Read More »
ID Year_Birth Education Marital_Status Income Kidhome Teenhome Dt_Customer Recency MntWines … NumStorePurchases NumWebVisitsMonth AcceptedCmp3 AcceptedCmp4 AcceptedCmp5 AcceptedCmp1 AcceptedCmp2 Response Complain Country 0 1826 1970 Graduation Divorced 84,835.00 0 0 6/16/14 0 189 … 6 1 0 0 0 0 0 1 0 SP 1 1 1961 Graduation Single 57,091.00 0 0 6/15/14 0 464 … …
Marketing Data Analysis using Python Pandas and Plotly Read More »
Here’s an example of how to load and analyze the “tips” dataset using both pandas and statsmodels libraries in Python: OLS Regression Results ============================================================================== Dep. Variable: tip R-squared: 0.457 Model: OLS Adj. R-squared: 0.454 Method: Least Squares F-statistic: 203.4 Date: Wed, 22 Feb 2023 Prob (F-statistic): 6.69e-34 Time: 22:02:24 Log-Likelihood: -350.54 No. Observations: 244 AIC: …
In Python, a dictionary is an unordered collection of key-value pairs, where each key must be unique. Dictionaries are often used to store and retrieve data quickly, as opposed to iterating through a list or tuple. Here’s an example of a basic dictionary in Python: In the example above, the my_dict dictionary contains three key-value …
In Python, a set is a collection of unique elements with no specific order. The elements in a set are enclosed in curly braces {}, separated by commas. Here’s an example of how to create a set: This creates a set containing the elements 1, 2, 3, 4, and 5. Here are some key characteristics …
Data wrangling, data cleansing, and data mining are all important processes involved in working with data. Overall, data wrangling, data cleansing, and data mining are all critical processes in the data analysis pipeline, helping to ensure that data is accurate, complete, and meaningful.
Tuples are similar to lists in Python, but they are immutable, meaning once a tuple is created, its elements cannot be changed. Tuples are also ordered, meaning the elements inside a tuple have a defined order. Tuples are written inside parentheses, like this: Here are some examples of tuples in Python: Tuples are useful for …
A list in Python is a collection of values (also known as elements) that are ordered and changeable. Here are some examples: To Define a List, Accessing Elements of a list, Loop thru a list Lists in Python have several built-in methods that can be used to manipulate the data stored in the list. Here …
Concatenate pandas objects along a particular axis. Allows optional set logic along the other axes.
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