Line Plots

  We'll learn about line plots, their functions, and when to use them, followed by creating a line plot from data in the dataset.

So, what exactly is a line plot? As the name suggests, it's a plot that displays information as a series of data points connected by straight lines. It's a fundamental type of chart commonly used across various fields, not limited to data science.

Line plots are particularly useful for visualizing trends and changes over time, making them ideal for time-series data such as changes in stock prices, website traffic, or temperature fluctuations. Additionally, line plots can show relationships between two variables and compare multiple data series on one chart. They're also effective in highlighting sudden changes or anomalies in data.

For instance, let's consider our dataset and generate a line plot to observe the trend of immigrants from Haiti to Canada. Analyzing this plot, we notice a spike in immigration from Haiti to Canada in 2010. Further investigation reveals that this spike was primarily due to the tragic earthquake that occurred in Haiti in 2010.

To generate a line plot, we simply call the plot function on the Pandas DataFrame or Series containing the data of interest. Before diving into the code, let's quickly recap our dataset: each row represents a country, with numerical figures indicating annual immigration to Canada from 1980 to 2013.

After processing the DataFrame to set the country name as the index and adding an extra column for total immigration for each country, let's name our DataFrame df_canada.

To generate the line plot for immigration from Haiti, we import Matplotlib as mpl and its scripting interface as plt. Then, we call the plot function on the row corresponding to Haiti, specifying kind='line' to generate a line plot. Finally, we add a title and label its axes before displaying the figure using the show function.

It's worth noting that this code utilizes the %matplotlib inline magic function with the inline backend.

And there you have it! A line plot depicting immigration from Haiti to Canada from 1980 to 2013. In summary, line plots are straightforward yet powerful tools for visualizing trends and changes over time or between variables. You can easily generate them by specifying kind='line' in the plot() function.

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