Data Analysis on Diamond Big data

Inspiration

A data frame with 53940 rows and 10 variables: price: price in US dollars (\$326--\$18,823) carat: weight of the diamond (0.2--5.01) cut: quality of the cut (Fair, Good, Very Good, Premium, Ideal) color: diamond colour, from J (worst) to D (best) clarity: a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best)) x: length in mm (0--10.74) y: width in mm (0--58.9) z: depth in mm (0--31.8) depth: total depth percentage = z / mean(x, y) = 2 * z / (x + y) (43--79) table: width of top of diamond relative to widest point (43--95)

What it does

Data Analysis On Diamonds

How I built it

using large number of complex information

Challenges I ran into

fine tuning is complex but it done

Accomplishments that I'm proud of

complete this project

What I learned

large number of miss information get shorted with this analysis

What's next for Diamond analysis

adding more detail information

Built With

• collab
• datavisualization
• llamafactory
• matplotlib
• pandas
• vertexai