#frequency_distribution

[freeavenuefox]

Data Management: Mars Craters

The following python program gives the arrangement of data in a logically understandable and increased readability form.

The result of the above program is shown below;

The steps done in the above program are;

Subset data of Craters with 50Kms and above diameter

Assigning category to each craters based on their size and latitudinal position

Creating another data set with only required data

The inferences from the above program are

For increased readability it is best to subset data

Assigning logically understandable values to data helps in data management

Assignment of category to data helped in readability of frequency table on Latitude_range and Diameter_of_craters

[freeavenuefox]

Mars Craters - Frequency Distribution , Latitude, Size

The Python Code below gives the Frequency distribution of Craters on Mars Surface at various Latitudes. Also, it includes the Distribution of Crater size.

The Result of the above program is below;

The Result clarifies the following;

The major portion of the craters are concentrated near the Equatorial region.

More than 90% of the craters have diameters of about 5Kms.

Number of craters near the Polar region is the least.

Since there were no uncategorised craters in the Data set,Hence there is no missing data.