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KNIME Weather Data Inspection and Visualization

KNIME Weather Data Inspection and Visualization
This part reads data from Snowflake database and reads IoT data to be read in to KNIME. Data pre-processing to transform DateTime values and aggregate temperature readings. Missingtimestamps are also introduced here. Visualizing seasonality with help of ACF andPACF plot and a basic Line plot to see basictrend in data. Establish connection toDatabaseSelect table with readingsRetreive result of table into KNIMEMinor TimestampPre-processingAlign values on hoursLinear Interpolationof missing readings.Mean temperatureon each hour Filter rows Snowflake Connector DB Table Selector DB Reader Convert toDate&Time Inspect Seasonality Timestamp Alignment Missing Value AggregationGranularity Row Filter Line Plot This part reads data from Snowflake database and reads IoT data to be read in to KNIME. Data pre-processing to transform DateTime values and aggregate temperature readings. Missingtimestamps are also introduced here. Visualizing seasonality with help of ACF andPACF plot and a basic Line plot to see basictrend in data. Establish connection toDatabaseSelect table with readingsRetreive result of table into KNIMEMinor TimestampPre-processingAlign values on hoursLinear Interpolationof missing readings.Mean temperatureon each hour Filter rowsSnowflake Connector DB Table Selector DB Reader Convert toDate&Time Inspect Seasonality Timestamp Alignment Missing Value AggregationGranularity Row Filter Line Plot

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Ali.Marvi
Created at: 2021-08-24
On NodePit since: 2021-09-10
Last update: 2024-12-17
Created with KNIME version: v4.4.0
Tags: LinePlotSeasonalityAutoCorrelationFunctionACFTimeSeries

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