MACHINE LEARNING RECIPES
DATA CLEANING PYTHON
DATA MUNGING
PANDAS CHEATSHEET
ALL TAGS
# Explain what is Box plot with an example using matplotlib?

# Explain what is Box plot with an example using matplotlib?

This recipe explains what what is Box plot with an example using matplotlib

What is Box plot? Explain with an example

Box plot is a box type *data visualization plotting function*. It shows all the statistical information about the data min, max, median, first quartile, and third quartile, outliers.

```
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
```

```
x=[2,5,7,9,10,11,15,18,21,24,27,33,38,40,55,64]
y=pd.DataFrame(x, columns = ['Num'])
```

```
y.boxplot()
```

Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.

The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.

In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.

In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.

Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.

Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.

In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.

In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.

In this project, we are going to work on Deep Learning using H2O to predict Census income.