Data Wrangling & Visualizations - Handling Missing Data - Recode Variables - Business Analytics Assignment Help

Assignment Task :

For this assignment, imagine you have been working as a data analyst in a Real Estate Company and are tasked with analyzing 2014-2016 Real Estate Sales data for the State of Connecticut.
Q1:Opening Data, Merging Data and Real Estate Sales and datasets.
 I’ve filtered data for years 2014-2016 to reduce the number of rows. You can find the clean original data online as a reference. 
Handling Missing Data
Q2: Filtering out missing data 
 It’s often helpful to make a subset of the data that you need to clean. Then you can join it back together later.  You can use Excel to verify the columns with missing values.

Q3: Replacing missing data
 Replace missing date recorded data with the corresponding year in ListYear column. 
 Replace missing Sales Amount data with the corresponding.
 Add this subset back to the dataset Recode Variables
Q4: Binning 
Make a column “Property Value” based on Column AssessedValue given the conditions:

• 'LowRange' if Assessed Value <=300,000
• 'MidRange' if Assessed Value >300,000 and <=800,000
• 'HighRange' if Assessed Value >800,000

Descriptive Statistics
Q5: Measures of Central Tendency & Variability 

Define, Interpret and Calculate the mean, median, mode, standard deviation, variance, range, minimum and maximum values for all the continuous data columns using the existing individual pandas or base functions. existing individual pandas or base functions.

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