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The objective of this project is to detect anomalies within a given dataset and assess their impact on the analysis performance. Our main focus is on developing a predictive model that will enable accurate sales forecasting. By identifying and addressing anomalies within the dataset, we aim to enhance the overall accuracy of the sales prediction

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Anomaly-Detection

https://www.kaggle.com/datasets/yasserh/walmart-dataset link to data set.
First, download R Studio to facilitate running the code. However, it's important to note that you should also download R itself before installing R Studio. Once you have both R and R Studio installed, ensure that you set the working directory to the file path of your dataset. This step is crucial as it allows R to locate and access the necessary data files. By setting the working directory appropriately, you can ensure that the code can find and process your dataset accurately.

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The objective of this project is to detect anomalies within a given dataset and assess their impact on the analysis performance. Our main focus is on developing a predictive model that will enable accurate sales forecasting. By identifying and addressing anomalies within the dataset, we aim to enhance the overall accuracy of the sales prediction

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