- The dataset is sourced from Kaggle. We created then a fictitious user story where predictive analytics can be applied in a real project in the workplace.
- Each row represents a record indicating a house profile (Floor Area, Basement, Garage, Kitchen, Lot, Porch, Year Built) and its respective sale price
| Variable | Meaning | Units |
|---|---|---|
| 1stFlrSF | First Floor square feet | 334 - 4692 |
| 2ndFlrSF | Second floor square feet | 0 - 2065 |
| BedroomAbvGr | Bedrooms above grade (does NOT include basement bedrooms) | 0 - 8 |
| BsmtExposure | Refers to walkout or garden level walls | Gd: Good Exposure; Av: Average Exposure; Mn: Mimimum Exposure; No: No Exposure; None: No Basement |
| BsmtFinType1 | Rating of basement finished area | GLQ: Good Living Quarters; ALQ: Average Living Quarters; BLQ: Below Average Living Quarters; Rec: Average Rec Room; LwQ: Low Quality; Unf: Unfinshed; None: No Basement |
| BsmtFinSF1 | Type 1 finished square feet | 0 - 5644 |
| BsmtUnfSF | Unfinished square feet of basement area | 0 - 2336 |
| TotalBsmtSF | Total square feet of basement area | 0 - 6110 |
| GarageArea | Size of garage in square feet | 0 - 1418 |
| GarageFinish | Interior finish of the garage | Fin: Finished; RFn: Rough Finished; Unf: Unfinished; None: No Garage |
| GarageYrBlt | Year garage was built | 1900 - 2010 |
| GrLivArea | Above grade (ground) living area square feet | 334 - 5642 |
| KitchenQual | Kitchen quality | Ex: Excellent; Gd: Good; TA: Typical/Average; Fa: Fair; Po: Poor |
| LotArea | Lot size in square feet | 1300 - 215245 |
| LotFrontage | Linear feet of street connected to property | 21 - 313 |
| MasVnrArea | Masonry veneer area in square feet | 0 - 1600 |
| EnclosedPorch | Enclosed porch area in square feet | 0 - 286 |
| OpenPorchSF | Open porch area in square feet | 0 - 547 |
| OverallCond | Rates the overall condition of the house | 10: Very Excellent; 9: Excellent; 8: Very Good; 7: Good; 6: Above Average; 5: Average; 4: Below Average; 3: Fair; 2: Poor; 1: Very Poor |
| OverallQual | Rates the overall material and finish of the house | 10: Very Excellent; 9: Excellent; 8: Very Good; 7: Good; 6: Above Average; 5: Average; 4: Below Average; 3: Fair; 2: Poor; 1: Very Poor |
| WoodDeckSF | Wood deck area in square feet | 0 - 736 |
| YearBuilt | Original construction date | 1872 - 2010 |
| YearRemodAdd | Remodel date (same as construction date if no remodeling or additions) | 1950 - 2010 |
| SalePrice | Sale Price | 34900 - 755000 |
As a good friend, you are requested by your friend, who has received an inheritance from a deceased great-grandfather located in Ames, Iowa, to help in maximizing the sales price for the inherited properties.
Although your friend has an excellent understanding of property prices in her own state and residential area, she fears that basing her estimates for property worth on her current knowledge might lead to inaccurate appraisals. What makes a house desirable and valuable where she comes from might not be the same in Ames, Iowa. She found a public dataset with house prices for Ames, Iowa, and will provide you with that
- 1 - Lydia is interested in investigating how the house attributes are correlated with the sales price
- 2 - Lydia is interested to predict the house sales price from her 4 inherited houses
- List here your project hypothesis(es) and how you envision to validate it (them)
- List your business requirements and a rationale to map them to the Data Visualizations and ML tasks
- In the previous bullet, you potentially visualized a ML task to answer a business requirement. You should frame the business case using the method we covered in the course
- List all dashboard pages and its content, either block of information or widgets, like: buttons, checkbox, image, or any other item that your dashboard library supports.
- Eventually, during the project development, you may revisit your dashboard plan to update a give feature (for example, in the beginning of the project you were confident you would use a given plot to display an insight but eventually you needed to use another plot type)