Lecture 28 – Maps

Data 94, Spring 2021

In [1]:
from datascience import *
import numpy as np

Table.interactive_plots()

Review: scatter plots and line plots

In [2]:
wm = Table.read_table('data/walmart.csv').select('STREETADDR', 'STRCITY', 'STRSTATE', 'type_store', 'LAT', 'LON', 'YEAR')
wm
Out[2]:
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)

In [3]:
wm.group('YEAR')
Out[3]:
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)

In [4]:
wm.group('YEAR').plot('YEAR',
                     title = 'Number of Walmarts Opened Per Year')