Faceted Line Chart Alternative Text Template Chart
Faceted Line Chart Introduction
This faceted line chart shows four weather-related variables for Austin, Texas, in August 2016: daily average temperature, wind speed, humidity, and daily total precipitation. It shows stable temperature trends (mean: 85°F), a significant rainfall spike on August 15 (2.35 inches), consistently high humidity (mean: 74%), and generally low wind speeds (mean: 4 mph). The period from August 12 to August 22 shows increased precipitation and humidity, with minor impacts on temperature and wind, reflecting rain and thunderstorm events.
Statistical Information
Temperature:
Mean: 85°F, with a stable trend throughout the month. Maximum: 92°F (August 10 and 12) Minimum: 74°F (August 15)
Wind Speed:
Mean: 4 mph, with some periodic variability. Maximum: 7 mph (August 23) Minimum: 2 mph (August 15, 18, 21, 25, and 31)
Humidity:
Mean: 74%, with consistently high levels. Maximum: 97% (August 15), coinciding with heavy rainfall. Minimum: 62% (August 1) Days with >80% Humidity: 23% (August 14–21, except August 19)
###Precipitation: Total: 6.93 inches Maximum: 2.35 inches (August 15) Rainy Days: 14 (mostly after August 14) Dry Days: 17
Trend Analysis
Early August (Before August 12):
The weather was warm, sunny, and dry, with average temperatures around 85°F. Humidity ranged from 62% to 74%, and wind speeds remained steady at 4 mph. No precipitation occurred during this period.
Mid-August (August 12–22):
The weather shifted due to significant rain and thunderstorms. The heaviest rainfall occurred on August 15, accompanied by a peak in humidity (97%). While temperatures dipped slightly during rainfall, they remained relatively stable. Wind speeds declined slightly during precipitation events but increased afterward.
Late August (After August 22):
Conditions returned to a dry, sunny state, with average temperatures near 85°F. Minimal rainfall was observed, and humidity and wind trends reverted to patterns seen in early August.
Glossary
- Mean: The average value of a dataset, calculated by summing all data points and dividing by the number of data points.