import pandas as pd # Load and parse dates df = pd.read_csv('catfish.csv', parse_dates=[0], index_col=0) print(df.head()) Use code with caution.
Many time-series courses host it, such as this Time-Series Analysis repository . catfish.csv download
Use the standard read.csv function or readr for faster processing: import pandas as pd # Load and parse dates df = pd
# Standard R load catfish_data <- read.csv("catfish.csv") head(catfish_data) Use code with caution. catfish.csv download
Building predictive models that account for both autoregression and seasonal shifts.
You can find official and community-hosted versions of this dataset across several major platforms: