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hey everyone my names braden were going to look at how to change the data type of a column in pandas specifically were going to see what happens when we have a column of strings that are actually numbers like this down here and then when we have a mixture of integers and floats like this down here as you can see it gets read in as all floats what happens when we have a mixture of strings and numbers in a column how we can deal with missing values and when we have characters in our strings like with money or percent signs if you want to know how to convert to date time i have another video on that ill add the link to the description below otherwise lets get started all right to get started well import pandas as pd and numpy as np to get started ive created a data frame with several different types of columns so lets run that now well look at our data frame head and well also look at the d types so we see here that our first column is an object and then our second column is a