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WORKSHOP8: Tweaking the summary slides for the final workshop
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‎build_models.html

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‎exploring_graph_data.html

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@@ -222,7 +222,7 @@ <h2><a href="#content">Alternative Explorations of the Online Retail Dataset</a>
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</div>
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<div id="postamble" data-toggle="wy-nav-shift" class="status">
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<p class="author"><span class="glyphicon glyphicon-user"></span> Mick Cooney <a href="mailto:mickcooney@gmail.com" class="email">mickcooney@gmail.com</a></p>
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<p class="date"><span class="glyphicon glyphicon-calendar"></span> Last updated: November 23, 2021</p>
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<p class="date"><span class="glyphicon glyphicon-calendar"></span> Last updated: December 06, 2021</p>
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</div>
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</div>
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## collate en_US.UTF-8
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## tz Etc/UTC
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## date 2021-11-23
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## date 2021-12-06
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##
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## ─ Packages ───────────────────────────────────────────────────────────────────
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## package * version date lib source

‎exploring_retail_data.html

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</div>
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<div id="postamble" data-toggle="wy-nav-shift" class="status">
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<p class="author"><span class="glyphicon glyphicon-user"></span> Mick Cooney <a href="mailto:mickcooney@gmail.com" class="email">mickcooney@gmail.com</a></p>
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<p class="date"><span class="glyphicon glyphicon-calendar"></span> Last updated: November 23, 2021</p>
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<p class="date"><span class="glyphicon glyphicon-calendar"></span> Last updated: December 06, 2021</p>
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## date 2021-12-06
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‎exploring_retail_dataexplorer.html

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</div>
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<div id="postamble" data-toggle="wy-nav-shift" class="status">
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<p class="author"><span class="glyphicon glyphicon-user"></span> Mick Cooney <a href="mailto:mickcooney@gmail.com" class="email">mickcooney@gmail.com</a></p>
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<p class="date"><span class="glyphicon glyphicon-calendar"></span> Last updated: November 23, 2021</p>
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<p class="date"><span class="glyphicon glyphicon-calendar"></span> Last updated: December 06, 2021</p>
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</div>
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</div>
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## collate en_US.UTF-8
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‎initial_arules_models.html

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‎initial_btyd_models.html

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@@ -240,7 +240,7 @@ <h2><a href="#content">Using Buy-Till-You-Die (BTYD) Models the Online Retail Da
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</div>
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<div id="postamble" data-toggle="wy-nav-shift" class="status">
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<p class="author"><span class="glyphicon glyphicon-user"></span> Mick Cooney <a href="mailto:mickcooney@gmail.com" class="email">mickcooney@gmail.com</a></p>
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<p class="date"><span class="glyphicon glyphicon-calendar"></span> Last updated: November 23, 2021</p>
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<p class="date"><span class="glyphicon glyphicon-calendar"></span> Last updated: December 06, 2021</p>
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</div>
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</div>
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‎initial_rfm_models.html

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</div>
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<div id="postamble" data-toggle="wy-nav-shift" class="status">
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<p class="author"><span class="glyphicon glyphicon-user"></span> Mick Cooney <a href="mailto:mickcooney@gmail.com" class="email">mickcooney@gmail.com</a></p>
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<p class="date"><span class="glyphicon glyphicon-calendar"></span> Last updated: November 23, 2021</p>
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<p class="date"><span class="glyphicon glyphicon-calendar"></span> Last updated: December 06, 2021</p>
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</div>
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</div>
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## date 2021-12-06
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‎initial_timeseries_models.html

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</div>
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<div id="postamble" data-toggle="wy-nav-shift" class="status">
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<p class="author"><span class="glyphicon glyphicon-user"></span> Mick Cooney <a href="mailto:mickcooney@gmail.com" class="email">mickcooney@gmail.com</a></p>
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<p class="date"><span class="glyphicon glyphicon-calendar"></span> Last updated: November 23, 2021</p>
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<p class="date"><span class="glyphicon glyphicon-calendar"></span> Last updated: December 06, 2021</p>
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## date 2021-12-06
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‎retrieve_retail_data.html

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## collate en_US.UTF-8
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## date 2021-12-06
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‎summary_slides.Rmd

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---
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title: "Project Overview: Results and Conclusions"
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author: "Mick Cooney <mickcooney@gmail.com>"
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date: "Wednesday, 8 December 2021"
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date: "Monday, 6 December 2021"
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output:
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revealjs::revealjs_presentation:
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theme: night
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```
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# Key Findings
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---
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Information in data
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\
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RFM modelling is useful
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\
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More work to be done
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# Transaction Data
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```{r plot_customer_segment_count, echo=FALSE}
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n_customer <- customer_segments_tbl %>% nrow()
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plot_tbl <- customer_segments_tbl %>%
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count(segment, name = "count", sort = TRUE)
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ggplot(plot_tbl) +
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geom_col(aes(x = segment, y = count, fill = segment)) +
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scale_y_continuous(labels = label_comma()) +
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scale_fill_brewer(type = "qual", palette = "Set1") +
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labs(
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x = "Segment",
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y = "Count"
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x = "Segment",
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y = "Count",
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title = "RFM Modelling Segmentation Sizes",
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subtitle = glue("{cust_count} Customers", cust_count = label_comma()(n_customer))
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ggtitle("RFM Modelling Segmentation Sizes") +
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ggtitle("Segmentation Metrics for Recent Data") +
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ggtitle("Segmentation Metrics for Validation Data") +
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```{r plot_product_group_splits, echo=FALSE}
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n_product <- product_group_tnxgroups_tbl %>% nrow()
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plot_tbl <- product_group_tnxgroups_tbl %>%
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count(product_group, name = "cluster_count")
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ggplot(plot_tbl) +
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geom_col(aes(x = product_group, y = cluster_count)) +
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scale_y_continuous(labels = label_comma()) +
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labs(
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x = "Product Group",
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y = "Cluster Size"
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ggtitle("Product Cluster Sizes")
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x = "Product Group",
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y = "Cluster Size",
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title = "Product Cluster Sizes",
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subtitle = glue("{prod_count} Unique Products", prod_count = label_comma()(n_product))
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)
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* Lack of stakeholder input
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* Returns not properly analysed
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* RFM Models are simplistic
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* Clustering requires more work
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* Product data lacks depth
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Lack of stakeholder input
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\
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Sales returns not analysed properly
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\
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# Thank You
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Product data lacks depth
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RFM models simplistic (BTYD worth exploring)
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\
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Clustering can be expanded
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## Thank You
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\
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mickcooney@gmail.com
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‎summary_slides.html

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