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yoyaoh · Feb 28, 2023 · f753bfd · f753bfd
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diff --git a/analysis-clustering-keywords/cluster-keywords-with-valueserp.ipynb b/analysis-clustering-keywords/cluster-keywords-with-valueserp.ipynb
@@ -7,7 +7,31 @@
     "# Cluster bulk list of keywords with valueserp\n",
     "\n",
     "\n",
-    "Quickly cluster a large quantity of keywords using SERP results"
+    "Quickly cluster a large quantity of keywords using SERP results\n",
+    "\n",
+    "A summary and conclusion at the bottom including next steps and alternate methods\n",
+    "\n",
+    "\n",
+    "### About Alton\n",
+    "\n",
+    "Follow me for more data and tutorials\n",
+    "\n",
+    "- twitter: https://twitter.com/alton_lex @alton_lex\n",
+    "\n",
+    "- linkedin: https://www.linkedin.com/in/altonalexander/\n",
+    "\n",
+    "\n",
+    "### About Data Winners\n",
+    "\n",
+    "Join the conversation:\n",
+    "\n",
+    "- private Discord community\n",
+    "\n",
+    "- Video tutorials\n",
+    "\n",
+    "- Feedback and support on this and other scripts\n",
+    "\n",
+    "Join now: https://datawinners.gumroad.com/l/data-analytics-for-seo"
    ]
   },
   {
@@ -2219,13 +2243,6 @@
     "topic_groups_dictdf.to_csv(\"./output-clustered-queries.csv\", index=False)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -2234,12 +2251,50 @@
     "\n",
     "In this sample we input over 8000 keywords and clustered them into 1333 clusters\n",
     "\n",
-    "3603 were not clustered and live in their own (cluster size of 1)\n",
+    "3603 were not clustered and live in their own (cluster size of 1 keyphrase each)\n",
+    "\n",
+    "### Next steps:\n",
+    "\n",
+    "- SERP clustering is one of many methodologies for clustering keywords\n",
+    "\n",
+    "- SERP clustering can be adjusted beyond just URLs that match to include intent, related searches, etc.\n",
+    "\n",
+    "- More sophisticated clustering methods include NLP\n",
+    "\n",
+    "- Less sophisticated clustering methods include n-grams\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
     "\n",
     "\n",
     "# Questions & support\n",
     "\n",
-    "Feel free to reach out to me on https://twitter.com/alton_lex"
+    "Feel free to reach out to me on https://twitter.com/alton_lex\n",
+    "\n",
+    "\n",
+    "### About Alton\n",
+    "\n",
+    "Follow me for more data and tutorials\n",
+    "\n",
+    "- twitter: https://twitter.com/alton_lex @alton_lex\n",
+    "\n",
+    "- linkedin: https://www.linkedin.com/in/altonalexander/\n",
+    "\n",
+    "\n",
+    "### About Data Winners\n",
+    "\n",
+    "Join the conversation:\n",
+    "\n",
+    "- private Discord community\n",
+    "\n",
+    "- Video tutorials\n",
+    "\n",
+    "- Feedback and support on this and other scripts\n",
+    "\n",
+    "Join now: https://datawinners.gumroad.com/l/data-analytics-for-seo"
    ]
   }
  ],

diff --git a/analysis-onpage/README.md b/analysis-onpage/README.md
@@ -8,30 +8,36 @@ All of my scripts are open source.
 
 If you would like to support and/or follow along then please consider joining the step-by-step course here: https://datawinners.gumroad.com/l/data-analytics-for-seo
 
+---
 
 ## Scraping Data for Programmatic SEO
 
 Collecting data from a page using beautiful soup
 
-[scraping-tables-for-programmatic-seo.ipynb](https://github.com/FrontAnalyticsInc/data-winners/blob/main/analysis-onpage/scraping-tables-for-programmatic-seo.ipynb)
+[analysis-onpage/scraping-tables-for-programmatic-seo.ipynb](https://github.com/FrontAnalyticsInc/data-winners/blob/main/analysis-onpage/scraping-tables-for-programmatic-seo.ipynb)
 
 
 ## Entity extraction
 
 Using spacy to extract entities and parts of speach
 
+[analysis-onpage/onpage-entity-extraction.ipynb](https://github.com/FrontAnalyticsInc/data-winners/blob/main/analysis-onpage/onpage-entity-extraction.ipynb)
 
 
 ## Bulk Analysis - Schema Extraction for a SERP
 
+Extract schema from one url or from an entire serp
 
+[analysis-onpage/onpage-schema-analysis.ipynb](https://github.com/FrontAnalyticsInc/data-winners/blob/main/analysis-onpage/onpage-schema-analysis.ipynb)
 
 
 
 ## Bulk Analysis - Internal Link Extraction
 
 Getting the most popular internal links for an entire site
 
+[analysis-internal-links/internal-link-graph.ipynb](https://github.com/FrontAnalyticsInc/data-winners/blob/main/analysis-internal-links/internal-link-graph.ipynb)
+
 
 
 
@@ -41,8 +47,30 @@ Given a search query, scrape the top pages for all the headers (h2,h3,h4, etc).
 
 Return the results as a table of sections:
 
-[SERP-to-sections-jam-session.ipynb](https://github.com/FrontAnalyticsInc/data-winners/blob/main/analysis-serp-scrape-top-results-for-metadata-summary/SERP-to-sections-jam-session.ipynb)
+[analysis-serp-scrape-top-results-for-metadata-summary/SERP-to-sections-jam-session.ipynb](https://github.com/FrontAnalyticsInc/data-winners/blob/main/analysis-serp-scrape-top-results-for-metadata-summary/SERP-to-sections-jam-session.ipynb)
+
+
+---
+
+
+### About Alton
+
+Follow me for more data and tutorials
+
+- twitter: https://twitter.com/alton_lex @alton_lex
+
+- linkedin: https://www.linkedin.com/in/altonalexander/
+
+
+### About Data Winners
+
+Join the conversation:
+
+- private Discord community
 
+- Video tutorials
 
+- Feedback and support on this and other scripts
 
+Join now: https://datawinners.gumroad.com/l/data-analytics-for-seo