Descriptive Analytics and Visualization

Descriptive Analytics and Visualization

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................3
1...................................................................................................................................................3
2...................................................................................................................................................4
3. Descriptive statistics of savings...............................................................................................7

INTRODUCTION
Descriptive analytic and visualization plays very efficient role for analyzing any specific
data set along with proper interpretation and conclusion. The present report would be conveying
its findings with proper understanding. It would be also articulating proper application of
quantitative reasoning skills for the purpose of solving various complex problems. In the same
series, it would be also justifying various technologies for finding and disseminate information.
Further it had articulated different solutions for problems which are authentic. It had also
reflected understanding on data analysis which is contemporary and tools of visualization for
recognizing information of these tools.
1.
Assessment of insurance claims condition
Row Labels Count of Savings
worse off (<0) 72
No better off (0) 25
Better off (>1) 303
Grand Total 400
Proportions
Row Labels Count of Savings
worse off (<0) 72 / 400 * 100 = 18%
No better off (0) 25 / 400 * 100 = 6%
Better off (>1) 303 / 400 * 100 = 76%
Grand Total 400
Interpretation: The above table is assessing the condition who had claimed insurance in
worsen off aspect. There has been presentation of each proportion from sample of 400 in which
major quantity had been gained by better off then followed by worsen off and no better off. In
the table one it had assessed appropriate count and in next table there is presentation of
calculation of proportion of all three factors. Among 400, 72 people were not affected by car
insurance whose proportion is of 18%.