Correlation of Attributes

Skewness of Attributes

To Understand the Monthly Variance of all attributes and understand how they are understanding

Skewness of Attributes of all Attributes of Discharge Rate data

Detcting Outliers

Outlier Detection

Outlier Detection

Detcting Outliers

Dtetcting Outliers

Detecting Outliers monthly in Maxuimum temperature

Monthly_Outliers_PET

monthly Outliers Detections

Outliers Detection

How the Discharge Rate(Q), PET, P, Min. & Nax. Time varied over 39 Years

Variation of Stream Flow over time

PET values over time

Variance of Stream over time- Day, Month & Year

Variation of Poetential Evapotranspiration over time- Day, Month, Year

Variation in Precipitation over Year, Month & Day

Distribution of Stream Flow after Outlier Treatment

Distribution of Streamflow Values before Outlier Treatment

Distribution of Precipitation values After Outlier Treatment to reduce Variance

Distribution / Variance of Precipitation Values Before Outlier Treatment

Distribution of data points captured between the years 1961-1970

To Analyze which state has contributed the most towards indian exports which also depends on infrastructure

most Important product $

Region wise Indian Export

Eport Th. US$ by World Region, Product

Variations in NDVI Values for Krishna District of Andhra Pradesh for Year 2005

NDCI Values of Krishna Revenue District, Andhra Pradesh for year 2005

Prices of BottleGuard for 2022

Here the Violin Plot describes the Highest share rate.for the specific month and how it varies

Here the Violin plot displays a similar graph but Instead of Opening rate we are using Closing rate. If we arre finding difficult to analyze these data, then we need to scan a certain graph, then it will expand and only show that graph

this is a Violin Plot which is used to understand how the data is distributed within each month i.e. if the shape of violin plot is such that thickness is more towards the top , then my median will be more than mean. Hence in that month opening rates of share was high on majority of the days. Secondaly how the rates have varied between the months & if their is presence of Outliers.

TSDA Homework

Count of Total Applicants (Residents + Non Residents)- IPR Industrial Design.Yearly To Analyze the Data Further, click on the years mentioned on the right top to select or deselect it.

3Dplot - Trademark Applicants

Trademark violin plot Data symmetry

TradeMark NISG

TRademark

Punjab/ Haryana