cmc/data-science

Personal data science learning files.

clone: git clone https://gitbay.org/cmc/data-science.git

408fbe0a98ad8f5a667195b7d5beb947e25580fd

signed_unknown_key

author: Christian Cleberg <hello@cmc.pub> · 2025-03-11T23:26:12Z

move from cleberg.net to cmc.pub
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 notebooks/.DS_Store                              | Bin 6148 -> 0 bytes
 notebooks/Lincoln_Business_Clusters_Report.ipynb |   8 ++++----
 3 files changed, 4 insertions(+), 4 deletions(-)

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diff --git a/notebooks/Lincoln_Business_Clusters_Report.ipynb b/notebooks/Lincoln_Business_Clusters_Report.ipynb
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--- a/notebooks/Lincoln_Business_Clusters_Report.ipynb
+++ b/notebooks/Lincoln_Business_Clusters_Report.ipynb
@@ -108,18 +108,18 @@
     "6. Southeast (Purple)\n",
     "\n",
     "#### Map of Clusters in Lincoln  \n",
-    "![](https://img.cleberg.net/blog/014-ibm-data-science/04_clusters-min.png)  \n",
+    "![](https://img.cmc.pub/blog/014-ibm-data-science/04_clusters-min.png)  \n",
     "\n",
     "These clusters closely follow the street layout shown on the map. The clusters with many businesses (0 - 3) are in the most populous areas of Lincoln, while clusters 4 - 5 are in the areas of the city with fewer streets.\n",
     "\n",
     "#### Number of Venues by Cluster in Lincoln  \n",
-    "![](https://img.cleberg.net/blog/014-ibm-data-science/05_venues_per_cluster-min.png)  \n",
+    "![](https://img.cmc.pub/blog/014-ibm-data-science/05_venues_per_cluster-min.png)  \n",
     "\n",
     "Finally, we can show a deeper inspection of the venues in these clusters. For investors who may want to invest in Mexican restaurants, they would have to decide whether to invest in an area with many Mexican restaurants already (cluster #1) or a cluster with fewer restaurants. Likewise, we can see which areas are more popular for other business categories.  \n",
     "\n",
     "#### Venue Categories by Clusters in Lincoln (>1)  \n",
-    "![](https://img.cleberg.net/blog/014-ibm-data-science/06_categories_per_cluster_pt1-min.png)  \n",
-    "![](https://img.cleberg.net/blog/014-ibm-data-science/07_categories_per_cluster_pt2-min.png)  "
+    "![](https://img.cmc.pub/blog/014-ibm-data-science/06_categories_per_cluster_pt1-min.png)  \n",
+    "![](https://img.cmc.pub/blog/014-ibm-data-science/07_categories_per_cluster_pt2-min.png)  "
    ]
   },
   {