fixed img 1

content/blog/2024-05-02-flash-expert.Rmd

@@ -16,7 +16,7 @@ output:
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 <center>
-![**Fig 1a.** Revised FlaSH Dashoard](/blog/2024-01-30-flash-expert/new_dash.png)</center>
+![**Fig 1a.** Revised FlaSH Dashoard](/blog/2024-05-02-flash-expert/new_dash.png)</center>
 
 
 In its initial stages, the FlaSH dashboard (Fig 1b) only enabled me to assess potential anomalies by viewing graphs, line-by-line, as generated by the FlaSH program. There wasn’t an efficient way to filter various incoming anomalies when I needed to examine specific geographic areas or signals. Nor was there an easy way to see a daily overview map of the aggregated average FlaSH scores for nationwide anomalies. Without the current dashboard, I was spending a good amount of time scrolling, manually sorting, documenting, and searching for specific anomaly reports I wanted to examine rather than focusing solely on identifying, marking, and analyzing anomalies.

content/blog/2024-05-02-flash-expert.html

@@ -19,7 +19,7 @@
 
 <center>
 <div class="float">
-<img src="/blog/2024-01-30-flash-expert/new_dash.png" alt="Fig 1a. Revised FlaSH Dashoard" />
+<img src="/blog/2024-05-02-flash-expert/new_dash.png" alt="Fig 1a. Revised FlaSH Dashoard" />
 <div class="figcaption"><strong>Fig 1a.</strong> Revised FlaSH Dashoard</div>
 </div>
 </center>