Day One - Collecing DC Housing Date

Objective

You will collect housing data from two DC neighborhoods of your chole.

Directions

You will be collecting statistical data in order to study neighborhoods of your own choosing veltineed to collect quantitative and tact corical data for at least 5 DC houses in which you are interested in two different neighborhoods. Use zillow.com and complete the table below.

Neighborhood 1:,

Neighborhood 2:

Address

2005 Tax assessment,

2015 Tax

Assessment, square

Footage,year built, Type of

House, Exterior

Day Two - Visualizing Your Data

Objective

You will develop visual tools to represent your data. These visual tools may include pie charts, histograms, and frequency tables.

Directions

Objective

You will develop visual tools to represent your data. These visual tools may include pie charts, histograms, and frequency tables.

Directions

Now that you have gathered a reasonable amount of data on two DC neighborhoods, it is time to engage , it is time to engage in some analysis. You will develop frequency tables, bar graphs, and pie charts for one of the qualitative variables of your choice (House Type or Exterior Material).

A. Creating Histograms

You will need to create 6 histograms, 3 for each neighborhood. https://www.meta-chart.com/

Neighborhood #1:

ο»Ώο»Ώ2005 Tax Assessment

ο»Ώο»Ώ2015 Tax Assessment

ο»Ώο»ΏSquare Footage.

Neighborhood #2:

ο»Ώο»Ώ2005 Tax Assessment

ο»Ώο»Ώ2015 Tax Assessment

ο»Ώο»ΏSquare Footage.

[Neichborhood 1

Histogram 1: 2005 Tax.

Assessment

Histogram 2: 2015 Tax

Assessment

Histogram 3: Square Footage

Neighborhood

Histogram 4: 2005 Tax

Assessment

Histogram 5: 2015 Tax

Assessment

Histogram 6: Square Footage

NOTE: For each histogram, determine the shape of the distribution and explain your reasoning. The distribution can be normal, left skewed, right skewed, bi-modal, or flat. Add descriptions in table above.

4 boxes each

Calculating Frequencies

Frequency Table Neighborhood #1:.

House Typ

Frequency

Relative Frequency

Percent

Frequency Table Neighborhood #2:

Frequency

House Type

Relative Frequency

Percent

A frequency is the number of times a given data point occurs in a data set. According to the table above, you are looking for the frequency of each house type (e.g., single family home, condo, multifamily). The total of the frequency column represents the total number of homes included in the sample.

A relative frequencyis the fraction or proportion of times an answer occurs. To find the relative

frequencies, divide each frequency by the total number of homes in the sample. You will write your relative frequencies as percentages.

C.

Creating Bar Graphs single.html

Bar graph

Neighborhood #1:

Multi family,condo,single family

Neighborhood #2:

Multi family,condo,single family

Create Pie Chart https://www.meta-chart.com/pie

Pie Chart

Neighborhood #1:

Neighborhood #2:

Analysis

write an explanation of what you see in the data. One paragraph should discuss the purpose of the projectand the process it took to complete it. Next 2 paragraphs should compare and contrast the two neighborhoods, make sure to reference the visuals from above. Final paragraph should provide a summary of where you would

live and why.

Day Four - Create Neighborhood Comparison Report

Objective

Today you will compile your housing data and results and design a multimedia presentation of your neighborhood

comparison project.

Directions

You spent the last few days collecting and analyzing qualitative and quantitative data from two neighborhoods of your choice.

Now you will have the chance to construct a refined mathematical report thatdetails the differences and similarities between the two neighborhoods. To do so, you will need to revisit the charts, graphs and calculations you developed and use them to complete you neighborhood project template.

Outline of Report

You will need the following sections in your report.

Section

Details

Title Page

β’ Title

β’ Picture of both neighborhoods

β’ Name, Period, and Date

Introduction

β’ Purpose of the Project

β’ Briefly explain how you completed the project and outline the rest of this paper -

β’ Summarize your conclusion or recommendation

* It is recommended that you complete this section last

Study Methods

β’ Identify the two neighborhoods

β’ Identify the locations

β’ Explain why you chose to study these neighborhoods

β’ Explain where you found your data

β’ How did you select the houses in your sample

β’ What quantitative and categorical data you collected

β’ Explain your Google Sheet Calculations

Neighborhood #I

Introduction

Describe your neighborhood (Give history on the neighborhood)

β’ Qualitative Data

β’ House Type

β’ Exterior Material

β’ Include graphs that show exterior material and house types

Keighborhood #1: Analysis

Analyze your quanticative data usingy our histograms, measuresof center and spread:

β’ Quantitative Data

-House Price

-House Age

-Distribution of Tax Assessment

β’ Price Differences

-Price per Square Foot

β’ Include histograms for all quantitative data

Neighborhood #2:

Introduction

Describe your neighborhood (Give history on the neighborhood)

Qualitative Data

β’ House Type

-Exterior Material

Include graphs that show exterior material and house types

β’ Include graphs that show exterior material and house types

_ Neighborhood #1: Analysis

Analyze your quantitative data using your histograms, measures of center andspread:

Quantitative Data o House Price.

β’ House Age

O Distribution of Tax Assessment

β’ Price Differences

β’ Price per Square Foot

β’ Include histograms for all quantitative data

Neighborhood Comparison-

β’ Explain the similarities between thetwo neighborhoods

Explain how the neighborhoods are similar

Explain the differences between the two neighborhoods

Explain how the neighborhoods are different

Conclusion

β’ Summarize the results of your data analysis

β’ How do you feel about the data?

β’ How can your analysis help change the neighborhoods? I