# A tibble: 3 × 2
price_bucket count
<chr> <int>
1 <$1MM 3021
2 $1-2MM 109
3 >$2MM 29
ECNM Research project
Setup
Data
Graphs and charts
| Mean | Median | Minimum | Maximum | Kurtosis | Skew | SD | NA Count | |
|---|---|---|---|---|---|---|---|---|
| Year | 2,012 | 2,012 | 2,011 | 2,013 | -0.70 | -0.50 | 0.65 | 0 |
| sale_price | 358,632 | 200,000 | 0 | 36,000,000 | 499.99 | 19.84 | 1,117,465.68 | 0 |
| Price_Range | 1 | 1 | 0 | 1 | 0.21 | -1.49 | 0.40 | 0 |
| sale_assessment | 268,659 | 157,500 | 0 | 29,765,500 | 1437.15 | 32.06 | 639,380.80 | 0 |
| Value_Range | 1 | 1 | 0 | 1 | -1.88 | -0.35 | 0.49 | 0 |
| land_value | 146,241 | 68,100 | 0 | 6,000,000 | 119.63 | 8.11 | 271,165.43 | 0 |
| improvement_value | 152,320 | 70,000 | 0 | 6,000,000 | 121.94 | 8.27 | 269,961.37 | 0 |
| apartment | 0 | 0 | 0 | 1 | 78.09 | 8.95 | 0.11 | 0 |
| church_charitable | 0 | 0 | 0 | 1 | 282.00 | 16.85 | 0.06 | 0 |
| commercial | 0 | 0 | 0 | 1 | 11.42 | 3.66 | 0.24 | 0 |
| farm_regular | 0 | 0 | 0 | 1 | 3152.00 | 56.15 | 0.02 | 0 |
| industrial | 0 | 0 | 0 | 1 | 237.85 | 15.48 | 0.06 | 0 |
| other_exempt | 0 | 0 | 0 | 1 | 50.41 | 7.24 | 0.13 | 0 |
| public | 0 | 0 | 0 | 1 | 78.09 | 8.95 | 0.11 | 0 |
| residential | 1 | 1 | 0 | 1 | 1.64 | -1.91 | 0.36 | 0 |
| vacant_land | 0 | 0 | 0 | 1 | 17.92 | 4.46 | 0.20 | 0 |
| farm_qualified | 0 | 0 | 0 | 0 | NaN | NaN | 0.00 | 0 |
Filter Data: >$100K & <$2MM
# Filter data
nj_dt2 <- nj_dt[nj_dt$Price_Range == 1, ]Graph the two Counties
