In India, and especially in Punjab, soil-based study examined the impact of loamy, clayey and sandy soil textures on the growth of sunflower. For performing the statistics, SPSS is used and google colab is used for managing and visualizing the data. Also, the sample collection of soil is performed below the ground and upto 15cmbased on the parameters such as pH, organic matter, electrical conductivity as well as analysis of other necessary nutrients such as phosphorous, potassium and nitrogen. In this work, Randomized Complete Block Design (RCBD) is applied for assessing the impact of soil type on sunflower development parameters such a height, stem girth and flower diameter. In this study, based on a time period of 12 weeks, sunflowers were cultivated and growth record was captured. Here, Google colab and seaborn and matplotlib are used for tracking the growth measurements. Various statistical tests have been performed using ANOVA and post-hoc in SPSS. It is well examined that loamy and clayey both outperformed than sandy soil for sunflower growth.