Analysis (Custom Analysis)

Create instant custom analysis reports independent of Dashboard Settings. Detailed data analysis with TAG selection, filtering and chart features.

Overview

Analysis module is used when you want to create a different custom analysis report at that moment independent of Settings/Dashboard settings. Works same way as Dashboard filtering features but you can create custom charts by instantly selecting TAG and Advanced TAG.

What is Analysis?

Analysis page is a flexible tool used to quickly analyze TAGs not on Dashboard, compare different TAGs or perform detailed analysis in custom time ranges. Also ideal for testing before adding to Dashboard.

Key Features

  • Custom analysis independent of Settings/Dashboard settings
  • Instant TAG and Advanced TAG selection
  • Flexible time range selection
  • Same filtering features as Dashboard
  • Various chart algorithms (DIFFERENCE, LINEAR, AVERAGE, SUM)
  • Chart type changing (BAR, LINE, AREA, RADAR)
  • Custom reporting and analysis
  • Export features

Chart Algorithms

Same chart algorithms as Dashboard are used on Analysis page. Each algorithm serves a different analysis purpose:

AlgorithmHow It WorksUse Case
DIFFERENCESubtracts each data point from previous oneHourly production/consumption tracking
LINEARShows TAG values directlyInstantaneous values like temperature, pressure
AVERAGENumerator / Denominator calculationUnit cost analysis
SUMShows total valuesDaily/monthly total consumption

DIFFERENCE (Difference Calculation)

Plots calculated value by subtracting each result of TAG or ADVANCED TAG data from previous result. Ideal for consumption and production tracking.

Örnek:

Example: Electricity Meter, 10:00 → 1000 kWh, 11:00 → 1150 kWh, Chart: 150 kWh (hourly consumption)

LINEAR (Linear)

Shows TAG or ADVANCED TAG data directly on chart. Used for raw data display.

Örnek:

Example: Temperature, 10:00 → 25°C, 11:00 → 27°C, Chart: 25°C, 27°C (direct values)

AVERAGE (Average/Cost)

Performs Numerator TAG / Denominator TAG calculation. Used for cost analyses.

Örnek:

Example: Unit Cost, Total Electricity / Total Production, Chart: Unit cost trend over time

SUM (Total)

Shows total value created in selected filtering time.

Örnek:

Example: Production Count, Each hour: 100, 120, 95, 110, Chart: Hourly totals

Chart Types

BAR

Bar chart - Ideal for comparison

LINE

Line chart - Ideal for trend analysis

AREA

Area chart - Cumulative view

RADAR

Radar chart - Multiple comparison

Each algorithm result can be shown with different chart types. Chart type can be changed instantly.

Filtering Options

Same Filtering System as Dashboard

Analysis page uses same filtering features as Dashboard page:

1. Time Filtering (Group By): HOUR (Hourly): Hourly detailed analysis, DAY (Daily): Daily summary analysis, MONTH (Monthly): Monthly trend analysis

2. Date Range Selection: Start Date: Start date and time, End Date: End date and time, Navigate: Quick switching with forward-backward buttons

3. Chart Type Change: You can instantly switch between BAR, LINE, AREA, RADAR.

4. Search: Click "Search" button to start analysis according to selected filters.

Creating Analysis

Step by Step Custom Analysis

  1. TAG Selection: Select TAG or Advanced TAG you want to analyze, You can select multiple TAGs, You can filter by TAG categories
  2. Chart Algorithm Selection: DIFFERENCE: For consumption/production tracking, LINEAR: For instantaneous value display, AVERAGE: For cost analysis (Select Numerator and Denominator TAG), SUM: For total value display
  3. Chart Type Selection: BAR: For comparison, LINE: For trend analysis, AREA: For cumulative view, RADAR: For multiple comparison
  4. Time Range Setting: Group By: Select HOUR, DAY or MONTH, Specify Start Date and End Date, Quick switching with Navigate buttons
  5. Starting Analysis: Click "Search" button, Chart is created and shown, You can change chart type anytime

Example Use Cases

Scenario 1: Hourly Electricity Consumption

Purpose: Analyze today's hourly electricity consumption

TAG: Electricity_Meter_kWh, Algorithm: DIFFERENCE (hourly difference), Chart Type: BAR, Filtering: HOUR (hourly), Date: Today 00:00 - 23:59, Result: Which hours have more consumption?

Scenario 2: Monthly Temperature Trend

Purpose: See temperature trend of last 30 days

TAG: Ambient_Temperature, Algorithm: LINEAR (direct values), Chart Type: LINE, Filtering: DAY (daily), Date: Last 30 days, Result: How has temperature changed?

Scenario 3: Unit Cost Analysis

Purpose: Analyze daily unit production cost

Numerator TAG: Total_Electricity_kWh, Denominator TAG: Total_Production_Count, Algorithm: AVERAGE (division operation), Chart Type: LINE, Filtering: DAY (daily), Date: Last 7 days, Result: How is unit cost trend?

Scenario 4: Multiple TAG Comparison

Purpose: Compare consumption of different departments

TAG 1: Press_Electricity, TAG 2: Cooling_Electricity, TAG 3: Compressor_Electricity, Algorithm: DIFFERENCE (hourly consumption), Chart Type: BAR (side by side), Filtering: HOUR (hourly), Result: Which department consumes more?

Adding to Dashboard

Saving Analysis to Dashboard

You can add analyses you created and liked on Analysis page to Dashboard:

  1. Create desired analysis on Analysis page
  2. Check results and adjust chart type
  3. Go to Settings page
  4. Select relevant dashboard or create new dashboard
  5. Select same TAGs and algorithms in GRAPH section
  6. Save dashboard
  7. Now this analysis appears permanently on Dashboard page

Best Practices

Recommendations

  • Clearly define your analysis purpose (consumption, trend, cost, etc.)
  • Select correct algorithm type (DIFFERENCE, LINEAR, AVERAGE, SUM)
  • Use meaningful chart types (LINE for trend, BAR for comparison)
  • Keep time range reasonable (very long periods affect performance)
  • Add frequently used analyses to Dashboard
  • Detect anomalies by comparing different TAGs
  • Compare with historical data using Navigate buttons
  • Examine from different perspectives by changing chart type