## Week4 – **Creating Graphs for your Data **

**Step12: Graphing individual variables**

** I’m interested to represent in histograms all the 10 craters categories of step 11.** In step 11, I organised all the craters into 10 groups based on their diameter (0-10, 11-20, 21-30, 31-40, 41-50, 51-60, 61-70, 71-80, 81-90, 91-100). Now, I want to see all those groups visualised as histograms.

**Python code7:**

seaborn.countplot(x='DIAM_CIRCLE_GROUPS', data=sub10)

plt.xlabel('Size of circle diameter for each crater category')

plt.title('Number of craters for each category')

**Python Results7:**

To describe the Table above, I need to use python .describe() function.

**Python code8:**

print('Describe Table')

desc1=sub10['DIAM_CIRCLE_GROUPS'].describe()

print(desc1)

**Python Results8:**

**Conclusion7-8**: The table contains 384343 elements (count), divided into 10 categories (unique). Among these 10 groups, the most populated is 31-40 group (top) that contains craters whose diameter varies between 31 and 40 km. The most frequent group contains 40849 craters in total (freq).

**Step13: Graphing combined variables**

** I’m interested to find how if a direct relationship exists between the crater diameter and the floor rim.** To do this, I’ll use a scatter plot graph.

**Python code9:**

scat1= seaborn.regplot(x='DIAM_CIRCLE_IMAGE', y='DEPTH_RIMFLOOR_TOPOG', fit_reg=False, data=data) plt.xlabel('DIAM_CIRCLE_IMAGE') plt.ylabel('DEPTH_RIMFLOOR_TOPOG') plt.title('Relationship diameter and depth rimfloor')

**Python Results9:**

**Conclusion9:** Due to 4K fold difference between the crater diameter and rim floor depth, the scatter plot code fails to show a graph that can be interpreted.

** I’m interested to find how if a direct relationship exists between the longitude and the crater diameter.** To do this, I’ll use a scatter plot graph.

**Python code10:**

scat3= seaborn.regplot(x='LONGITUDE_CIRCLE_IMAGE', y='DIAM_CIRCLE_IMAGE', fit_reg=False, data=data) plt.xlabel('LONGITUDE_CIRCLE_IMAGE') plt.ylabel('DIAM_CIRCLE_IMAGE') plt.title('Relationship longitude and crater diameter')

**Python Results10:**

**Conclusion10:** As shown before the 4K fold difference between the longitude and the crater diameter, the scatter plot fails to display a graph that can be interpreted. Additional data manipulation is required.