from datascience import *
import numpy as np
Table.interactive_plots()
wm = Table.read_table('data/walmart.csv').select('STREETADDR', 'STRCITY', 'STRSTATE', 'type_store', 'LAT', 'LON', 'YEAR')
wm
| STREETADDR | STRCITY | STRSTATE | type_store | LAT | LON | YEAR |
|---|---|---|---|---|---|---|
| 2110 WEST WALNUT | Rogers | AR | Supercenter | 36.3422 | -94.0714 | 1962 |
| 1417 HWY 62/65 N | Harrison | AR | Supercenter | 36.237 | -93.0935 | 1964 |
| 2901 HWY 412 EAST | Siloam Springs | AR | Supercenter | 36.1799 | -94.5021 | 1965 |
| 1621 NORTH BUSINESS 9 | Morrilton | AR | Supercenter | 35.1565 | -92.7586 | 1967 |
| 3801 CAMP ROBINSON RD. | North Little Rock | AR | Wal-Mart | 34.8133 | -92.3023 | 1967 |
| 2020 SOUTH MUSKOGEE | Tahlequah | OK | Supercenter | 35.9237 | -94.9719 | 1968 |
| 2705 GRAND AVE | Carthage | MO | Supercenter | 37.169 | -94.3116 | 1968 |
| 1500 LYNN RIGGS BLVD | Claremore | OK | Supercenter | 36.3271 | -95.6119 | 1968 |
| 65 WAL-MART DRIVE | Mountain Home | AR | Supercenter | 36.329 | -92.3578 | 1968 |
| 1303 SOUTH MAIN | Sikeston | MO | Supercenter | 36.8912 | -89.5836 | 1968 |
... (2982 rows omitted)
wm.group('YEAR')
| YEAR | count |
|---|---|
| 1962 | 1 |
| 1964 | 1 |
| 1965 | 1 |
| 1967 | 2 |
| 1968 | 5 |
| 1969 | 5 |
| 1970 | 5 |
| 1971 | 15 |
| 1972 | 17 |
| 1973 | 19 |
... (33 rows omitted)
wm.group('YEAR').plot('YEAR',
title = 'Number of Walmarts Opened Per Year')