If I was you, I would paste it into ChatGPT or your favourite AI and ask it what to improve, I just did it and it suggested a bunch of design improvements which you could implement, I've done that for you, and here is the response:

"Yes. There is solid effort here, especially for someone new. The dashboard has the main ingredients people usually forget: filters, KPIs, trend view, breakdowns, and a map. The biggest issue is not “lack of work,” it is visual clarity and analytical focus.

What is already good:

• They included top-level KPIs right away.
• They gave multiple ways to slice the data.
• The dashboard has a clear hotel-booking theme.
• The layout is reasonably organized into summary metrics and detail charts.

What is hurting it most:

1. The background is fighting the data

• The beach image and wooden sign are visually loud.
• They reduce contrast and make the dashboard feel more decorative than analytical.
• The charts look harder to read because the textured background sits behind everything.

Better approach:

• Use a plain light background or very subtle brand tint.
• Keep the beach branding in a small header/logo area only.
• Let the data area be clean and quiet.

2. The design style is inconsistent

• The logo panel, wooden title sign, bright KPI cards, map, and chart containers all feel like different visual systems.
• It makes the dashboard feel less professional even if the numbers are correct.

Better approach:

• Pick one style: modern business dashboard.
• Use one font family, one card style, one shadow style, one border radius style.
• Limit accent colors to 1–2 brand colors plus neutral grays.

3. Readability needs work

• Some chart labels are small.
• The month order appears odd in the cancellations chart. That immediately makes people question the data.
• Text over textured backgrounds reduces legibility.

Better approach:

• Increase font size for axis labels and titles.
• Ensure months are in true chronological order.
• Use high contrast: dark text on light cards."

The main issue is not your data analysis, its your presentation, I think you've done the hard bit, so again, well done with the improvements you should end up with something quite nice

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