https://github.com/razielar/forecasting_retail-store

Time-series Forecasting
https://github.com/razielar/forecasting_retail-store

forecasting prophet-facebook time-series-analysis

Last synced: 3 months ago
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Time-series Forecasting

• Host: GitHub
• URL: https://github.com/razielar/forecasting_retail-store
• Owner: razielar
• License: gpl-3.0
• Created: 2022-10-07T17:06:46.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-02-27T19:08:09.000Z (about 2 years ago)
• Last Synced: 2025-01-11T14:48:40.511Z (4 months ago)
• Topics: forecasting, prophet-facebook, time-series-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 63.5 MB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Time-series Forecasting

1. [Data](#data)

2. [Results](#results)

   - [General Sales Forecast](#general)

   - [Sales Forecast by Store](#store)

3. [Report Compilation](#report)

## 1)  Data

Kaggle-dataset: [Ecuadorin-based grocery retail store](https://www.kaggle.com/competitions/store-sales-time-series-forecasting/data)

## 2)  Results

### 2.1)  General Sales Forecast







### 2.2)  Sales Forecast by Store







## 3)  Report Compilation

### 3.1) Installation

Assumming you're using a Debian/Linux OS system you need to install `LaTEX` and `biber` (for bibliography):

* LaTEX:

``` bash

sudo apt install texlive-latex-extra

```

* biber:

``` bash

sudo apt install texlive-bibtex-extra biber

```

### 3.2) Report Compilation

To compile the file you need to do the following:

```{bash}

git clone https://github.com/razielar/forecasting_retail-store

cd report

./buildReport.sh

```

The bash-script will generate the **pdf.output** directory with the Report compliled.