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    <title>DEV Community: Elizabeth Njoroge</title>
    <description>The latest articles on DEV Community by Elizabeth Njoroge (@elizabeth_njoroge_7c850b9).</description>
    <link>https://dev.to/elizabeth_njoroge_7c850b9</link>
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      <title>DEV Community: Elizabeth Njoroge</title>
      <link>https://dev.to/elizabeth_njoroge_7c850b9</link>
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      <title>POWER BI?</title>
      <dc:creator>Elizabeth Njoroge</dc:creator>
      <pubDate>Mon, 29 Jun 2026 17:38:42 +0000</pubDate>
      <link>https://dev.to/elizabeth_njoroge_7c850b9/power-bi-hmm</link>
      <guid>https://dev.to/elizabeth_njoroge_7c850b9/power-bi-hmm</guid>
      <description>&lt;p&gt;Power BI is another visualisation tool that depending on what data you have, figuring what you want to do will dictate on whether it is the right tool to use. &lt;/p&gt;

&lt;h2&gt;
  
  
  Relationship, schemas and joins.
&lt;/h2&gt;

&lt;p&gt;While working with a workload especially when analysing Power BI models, relationship schema and joins can be considered to be "patterns" that connects everything. The main type of schema includes;&lt;/p&gt;

&lt;h2&gt;
  
  
  1. Star Schema.
&lt;/h2&gt;

&lt;p&gt;This is a multi dimensional data model that is used to organise data to make it easy to understand and analyse. For example in the table below, there are two kinds of tables, one is a Fact table which stores quantitative data while the other table ids the Dimensional table which stores descriptive data and where all generally have a common column.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fhi0xhztteg62x4ssblfl.jpeg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fhi0xhztteg62x4ssblfl.jpeg" alt=" " width="800" height="626"&gt;&lt;/a&gt; &lt;/p&gt;

&lt;h3&gt;
  
  
  Advantages
&lt;/h3&gt;

&lt;ul&gt;
&lt;li&gt;&lt;p&gt;Star is usually built for rapid analysis as it is easy to understand and navigate and that is why most business users use it.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;It is generally faster and more efficient.&lt;/p&gt;&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  2. Snowflake schema.
&lt;/h2&gt;

&lt;p&gt;This is mostly used for more complex, detailed dimensions with many hierarchies.&lt;br&gt;
When dimensions are incorporating all the fields into a single table for example which would make it hard to use then snowflake schema is ideal.&lt;/p&gt;

&lt;p&gt;Here is a table that shows an example of a snowflake schema&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fxmbhe3w76pg1jfmghear.jpeg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fxmbhe3w76pg1jfmghear.jpeg" alt=" " width="773" height="522"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Snowflake is usually built for rapid transactions making it sometimes hard for users to understand and navigate.&lt;/p&gt;

&lt;h2&gt;
  
  
  3. Galaxy schema
&lt;/h2&gt;

&lt;p&gt;With Galaxy schema we usually have multiple fact tables.&lt;/p&gt;

&lt;h1&gt;
  
  
  Relationships
&lt;/h1&gt;

&lt;p&gt;Relationships defines how tables interact.&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;One-to-One. This is when the tables have a common ID or unique values for the joined column.&lt;/li&gt;
&lt;li&gt;One-to-Many. This is when you are connecting a dimensional table which has the unique value to another table which is a fact table that has many sides.&lt;/li&gt;
&lt;li&gt;Many-to-One. This is the opposite of one-to-many.&lt;/li&gt;
&lt;li&gt;Many-to-Many. This is where the relationship is broken down to two one-to-many relationships.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;There is also filter directions where in a single direction, the filter that connects the tables flows in one direction, while in a bi-directional, the filter flows in both directions.&lt;/p&gt;

&lt;h2&gt;
  
  
  Joins
&lt;/h2&gt;

&lt;p&gt;Joins are used to merge data from two tables based on a common column. The different types are;&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Left Outer Join. This joins all rows from the left tables and the matching rows from the right side.&lt;/li&gt;
&lt;li&gt;Right Outer Join. This joins all the rows from the right tables and the matching rows from the left side.&lt;/li&gt;
&lt;li&gt;Full Outer Join. This includes all rows from both the primary and secondary tables.&lt;/li&gt;
&lt;li&gt;Inner Join. It includes rows where there is a match in both the tables based on the join key.&lt;/li&gt;
&lt;li&gt;Left Anti Join. This returns only the rows from the primary table that does not have a match in the secondary table.&lt;/li&gt;
&lt;li&gt;Right Anti Join. This returns only the rows from the secondary table that do not have a match in the primary table.&lt;/li&gt;
&lt;/ol&gt;

&lt;h2&gt;
  
  
  Conclusion
&lt;/h2&gt;

&lt;p&gt;Power BI is a great tool for visualisation as it requires one to create more insightful dashboard elements from data.&lt;/p&gt;

</description>
      <category>powerfuldevs</category>
      <category>beginners</category>
      <category>newbie</category>
      <category>microsoft</category>
    </item>
    <item>
      <title>New to Data Analytics? Try EXCEL</title>
      <dc:creator>Elizabeth Njoroge</dc:creator>
      <pubDate>Mon, 29 Jun 2026 12:08:35 +0000</pubDate>
      <link>https://dev.to/elizabeth_njoroge_7c850b9/new-to-data-analytics-try-excel-5ahl</link>
      <guid>https://dev.to/elizabeth_njoroge_7c850b9/new-to-data-analytics-try-excel-5ahl</guid>
      <description>&lt;p&gt;Excel is mostly a tool that is used to automate calculations and analysis. This includes organising numbers into columns and rows, data processing and the basic level being using it to create tables, graphs, charts which can shoe data or trends.&lt;/p&gt;

&lt;h2&gt;
  
  
  ways Excel is used in real-world data analysis
&lt;/h2&gt;

&lt;p&gt;Excel is used in most businesses for different uses like&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;&lt;p&gt;Accounting and presentation. Used for tasks like calculations, ledger analysis.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;Analysis. This comes when all those input done come out on the other side on excel for now analysis and the purpose of preparing the data.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;Reporting and Data Management. Here data is taken to organise and analyse data from various sources.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;Records. Managing data by the use of tools like filtering, formulas and such.&lt;/p&gt;&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  Features and Formulas
&lt;/h2&gt;

&lt;p&gt;Although there are numerous features an formulas in Excel, one of the ones that i have found to be completely enjoyable includes;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;&lt;p&gt;-(double dash) this will force the data in a row that had the true or false values to have 1 or 0.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;Ctrl + up/down will clear any filters you have selected on a table.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;Ctrl + insert row/column and ctrl- deletes row/column.&lt;/p&gt;&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;How ever long you use excel, you will randomly come across features that will make you wonder how many other features are out there that you do not know of.&lt;/p&gt;

&lt;h3&gt;
  
  
  Personal reflections
&lt;/h3&gt;

&lt;p&gt;I have seen a lot of debate on whether Excel is still worth it in 2026 and honestly YES! We all use Excel in one way or another and all business rely on Excel entirely. Even with the these softwares that are coming up everyday, most need compatibility with Excel in that eventually it will revert back to it as every report exports to Excel.&lt;/p&gt;

</description>
      <category>data</category>
      <category>excel</category>
      <category>newbie</category>
      <category>beginners</category>
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