Update OS sample data story
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@ -3,7 +3,7 @@ title: Sample Data Story
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date: 06/06/2023
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date: 06/06/2023
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---
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---
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This is a sample data story, you can add charts
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The below chart clearly shows the steep upward trend of oil prices these are largely due to social-political factors and civil unrest:
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<LineChart
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<LineChart
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data="https://raw.githubusercontent.com/datasets/oil-prices/main/data/wti-year.csv"
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data="https://raw.githubusercontent.com/datasets/oil-prices/main/data/wti-year.csv"
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@ -12,23 +12,26 @@ This is a sample data story, you can add charts
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yAxis="Price"
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yAxis="Price"
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/>
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/>
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Or you can add previews
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But to really understand the different global factors that influence the price of a commodity like oil the long term trends as shown above is not adequate.
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When considering the yearly fluctuations it is often beneficial to filter certain time periods.
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One can use the below preview to filter year periods. Alternatively, if you want to consider the points in time when the price of oil was the highest the price range can also be filtered.
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<FlatUiTable url="https://raw.githubusercontent.com/datasets/oil-prices/main/data/wti-year.csv" />
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<FlatUiTable url="https://raw.githubusercontent.com/datasets/oil-prices/main/data/wti-year.csv" />
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And you can of course add markdown
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Careful data analysis has identified instability albeit economic or political to be the major driver of oil price flatuations
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## Subtitles
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- Lists
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- Lists
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You can also add mermaid charts
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```mermaid
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```mermaid
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graph TD;
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graph LR;
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A-->B;
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A[Socio-Political Instability]-->B[War & Civil Unrest];
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A-->C;
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A-->C[Economic Factors];
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B-->D;
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B-->D[Price Increase];
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C-->D;
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C-->D;
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```
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```
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___
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**To find the raw data used in this article visit https://github.com/datasets/oil-prices/**
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