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This is a sample Dashboard showing automatically detected insights for the dataset (Retail Orders). Using the power of AI, AnswerDock automatically runs machine learning algorithms and uncovers interesting insights. Learn more at https://answerdock.com/one-click-insights/ -AnswerDock identified (12) Insights through 39380 drills on 4 metrics and 11 dimensions, in 1 Minute,5 Seconds. 
-Analysis types used are: Anomalies Detection,Trends Detection,Correlation Detection,Clusters Detection,Outliers Detection (Time Series),Cross Correlation Detection (Time Series). 
-Columns included: Category, City, Customer ID, Customer Name, Discount, Order Date, Order ID, Product ID, Product Name, Profit, Quantity, Region, Sales, Segment, Ship Date, Ship Mode, State, SubCategory. 
  • Sum Quantity has a moderate upward trend (correlation=0.6617) There are also 1 outlier on 2020-03

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  • Profit has a moderate positive correlation with Sales (correlation=0.5890)

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  • Customer Name Janet Martin has 7.0 Times the average for Sum Discount out of 701 values.

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  • Sum Sales has a moderate upward trend (correlation=0.5414)

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  • Discount has a very strong positive correlation with Sales (correlation=0.8737)

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  • Sum Discount has a low upward trend (correlation=0.4155)

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  • FOR Florida (State), Sum Discount has a very strong positive correlation with Sum Quantity (correlation=0.9227)

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  • Product Name GBC Instant Report Kit has 8.3 Times the average for Sum Discount out of 1396 values.

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  • FOR Paper (SubCategory), Sum Discount has a very strong positive correlation with Sum Profit (correlation=0.8081)

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  • FOR San Francisco (City), Sum Quantity has 2 Outliers on 2020-01,2020-03

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  • FOR New York (State), Sum Quantity has a strong positive correlation with Sum Discount (correlation=0.7130)

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  • FOR Seattle (City), Sum Sales has 1 Outlier on 2020-03

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