Variable for Lab4 and Lab5

[jrcook15]

Hi Professor,

Hope you had a great holiday and weekend. Just wanted to confirm some code on Lab 4 that is also on Lab 5. There is one variable that I am curious if it should be the clean inflated value, or the original value, it is mhmval00 the original dollar amount for the home without inflation. The rest of the variables in this filtered dataset are transformed to reflect the change in home value with inflation. Should this one also be with inflation?

pct_mhmval_change = mhmval_change / mhmval00

now keep a subset of relevant records ----

filtered_ltdb_2000_2010_df <- ltdb_2000_2010_df %>%

only keep urban tracts

dplyr::filter(urban == "urban") %>%

create new columns

dplyr::mutate(

adjust 2000 home values for inflation

clean_mhmval00 = mhmval00 * INFLATION_RATE,
# calculate the raw difference between 2010 & 2000 med. home value 
mhmval_change = mhmval10 - clean_mhmval00,
# calculate the % difference
pct_mhmval_change = mhmval_change / mhmval00
) %>%

keep records where home values are greater than lower bound

note: this is because these are outliers

than can be examined at a later date

dplyr::filter(clean_mhmval00 > LOWER_BOUND_MHMVAL

keep records where the % change in home values are

            # less than the upper bound
            & pct_mhmval_change < UPPER_BOUND_PCT_MHMVAL_CHANGE)

[cenuno]

Hi @jrcook15 -- you are correct, thank you for finding this error. The % change variable should have used the clean_mhmval00 variable as the denominator.

[jrcook15]

Awesome. Thank you for the clarification.

On Mon, Nov 30, 2020 at 11:09 AM Cristian E. Nuno notifications@github.com wrote:

Hi @jrcook15 https://github.com/jrcook15 -- you are correct, thank you for finding this error. The % change variable should have used the clean_mhmval00 variable as the denominator.

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-- -J