title: Combine the data in both sets from within the notebook into a single dataframe by joining them based on the common zipcodes
body: <p>I have two dataframe and There is following question:</p>
  
  <p>Capture the data sets from the two sites: <a href="https://catalog.data.gov/dataset/2015-registered-foreclosure-properties" rel="nofollow noreferrer">https://catalog.data.gov/dataset/2015-registered-foreclosure-properties</a> and <a href="https://catalog.data.gov/dataset/2010-census-populations-by-zip-code" rel="nofollow noreferrer">https://catalog.data.gov/dataset/2010-census-populations-by-zip-code</a> which contain data on property foreclosures and demographic data in the City of Los Angeles, respectively, from within the notebook.</p>
  
  <p>Combine the data in both sets from within the notebook into a single dataframe by joining them based on the common zipcodes. To complete this task, you must first count the number of foreclosures of each type (single family, multi-family, ..) in each zip code. The end result of this step would be a single data frame with the columns shown below. Display the first 10 lines of this combined data frame.
  Zip code - Total Males - Total Females - Total Households - Average Household size - total number of single family foreclosures - total number of multi-family foreclosures </p>
  
  <p>I need for answer, please </p>