Time Series Analysis of Plausible Data

• Plausible Analytics

  307 18,666 9.8 Elixir

  Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.

  

# Function to get Plausible Analytics timeseries data def get_plausible_timeseries_data(): # Calculate the date range for the last 90 days date_to = datetime.today().strftime('%Y-%m-%d') date_from = (datetime.today() - timedelta(days=90)).strftime('%Y-%m-%d') # Setting the metrics we want to look at metrics='visitors,pageviews' # Actually pulling the data we want url = f"https://plausible.io/api/v1/stats/timeseries?site_id={site_id}&period=custom&date={date_from},{date_to}&metrics={metrics}" headers = { "Authorization": f"Bearer {api_key}" } response = requests.get(url, headers=headers) data = response.json() # Putting the data into a dataframe we can use for analysis results = data['results'] df = pd.DataFrame(results) # Adjusting the date field so we can avoid future warnings and be more accurate df['date'] = pd.to_datetime(df['date']) return df

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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